[{"pid":"doi:10.11588/data/04HPWW","Title":"Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset]' Description:'This dataset accompanies the article of the same title in the journal Scientific Reports. It includes a) spreadsheets of data values for each plot in the main figures, b) all raw image data from Two-Photon in vivo microscopy (2pii) c) Custom code d) representative subsets of segmentation label images, coordinates of reidentified nuclei and corresponding magnetic resonance images from all timepoints of one animal (ID S8).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Correlative Neuroimaging; Microscopy; VBM; Voxel-based Morphometry+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset]' Description:'This dataset accompanies the article of the same title in the journal Scientific Reports. It includes a) spreadsheets of data values for each plot in the main figures, b) all raw image data from Two-Photon in vivo microscopy (2pii) c) Custom code d) representative subsets of segmentation label images, coordinates of reidentified nuclei and corresponding magnetic resonance images from all timepoints of one animal (ID S8).' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset accompanies the article of the same title in the journal Scientific Reports. It includes a) spreadsheets of data values for each plot in the main figures, b) all raw image data from Two-Photon in vivo microscopy (2pii) c) Custom code d) representative subsets of segmentation label images, coordinates of reidentified nuclei and corresponding magnetic resonance images from all timepoints of one animal (ID S8).","Subject":"Medicine, Health and Life Sciences","Keywords":"Correlative Neuroimaging; Microscopy; VBM; Voxel-based Morphometry"},{"pid":"doi:10.11588/data/0Z7H1X","Title":"Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]' Description:'Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unusually young age. Robust methods are available to constrain outlier influence, but they are scarcely used in genetic studies. This article provides a non-intimidating introduction to robust logistic regression, and investigates its benefits and limitations in genetic association studies. We applied the bounded Huber and extended the R package ‘robustbase’ with the re-descending Hampel functions to down-weight outlier influence. Computer simulations were carried out to assess the type I error rate, mean squared error (MSE) and statistical power according to major characteristics of the genetic study and investigated markers. Simulations were complemented with the analysis of real data. Both standard and robust estimation controlled type I error rates. Standard logistic regression showed the highest power but standard GRR estimates also showed the largest bias and MSE, in particular for associated rare and recessive variants. For illustration, a recessive variant with a true GRR=6.32 and a minor allele frequency=0.05 investigated in a 1000 case/1000 control study by standard logistic regression resulted in power=0.60 and MSE=16.5. The corresponding figures for Huber-based estimation were power=0.51 and MSE=0.53. Overall, Hampel- and Huber-based GRR estimates did not differ much. Robust logistic regression may represent a valuable alternative to standard maximum likelihood estimation when the focus lies on risk prediction rather than identification of susceptibility variants.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {genetic association study; re-descending Hampel function; robust logistic regression; winner’s curse+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]' Description:'Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unusually young age. Robust methods are available to constrain outlier influence, but they are scarcely used in genetic studies. This article provides a non-intimidating introduction to robust logistic regression, and investigates its benefits and limitations in genetic association studies. We applied the bounded Huber and extended the R package ‘robustbase’ with the re-descending Hampel functions to down-weight outlier influence. Computer simulations were carried out to assess the type I error rate, mean squared error (MSE) and statistical power according to major characteristics of the genetic study and investigated markers. Simulations were complemented with the analysis of real data. Both standard and robust estimation controlled type I error rates. Standard logistic regression showed the highest power but standard GRR estimates also showed the largest bias and MSE, in particular for associated rare and recessive variants. For illustration, a recessive variant with a true GRR=6.32 and a minor allele frequency=0.05 investigated in a 1000 case/1000 control study by standard logistic regression resulted in power=0.60 and MSE=16.5. The corresponding figures for Huber-based estimation were power=0.51 and MSE=0.53. Overall, Hampel- and Huber-based GRR estimates did not differ much. Robust logistic regression may represent a valuable alternative to standard maximum likelihood estimation when the focus lies on risk prediction rather than identification of susceptibility variants.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unusually young age. Robust methods are available to constrain outlier influence, but they are scarcely used in genetic studies. This article provides a non-intimidating introduction to robust logistic regression, and investigates its benefits and limitations in genetic association studies. We applied the bounded Huber and extended the R package ‘robustbase’ with the re-descending Hampel functions to down-weight outlier influence. Computer simulations were carried out to assess the type I error rate, mean squared error (MSE) and statistical power according to major characteristics of the genetic study and investigated markers. Simulations were complemented with the analysis of real data. Both standard and robust estimation controlled type I error rates. Standard logistic regression showed the highest power but standard GRR estimates also showed the largest bias and MSE, in particular for associated rare and recessive variants. For illustration, a recessive variant with a true GRR=6.32 and a minor allele frequency=0.05 investigated in a 1000 case/1000 control study by standard logistic regression resulted in power=0.60 and MSE=16.5. The corresponding figures for Huber-based estimation were power=0.51 and MSE=0.53. Overall, Hampel- and Huber-based GRR estimates did not differ much. Robust logistic regression may represent a valuable alternative to standard maximum likelihood estimation when the focus lies on risk prediction rather than identification of susceptibility variants.","Subject":"Medicine, Health and Life Sciences","Keywords":"genetic association study; re-descending Hampel function; robust logistic regression; winner’s curse"},{"pid":"doi:10.11588/data/0Z7H1X","Title":"Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]' Description:'Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unusually young age. Robust methods are available to constrain outlier influence, but they are scarcely used in genetic studies. This article provides a non-intimidating introduction to robust logistic regression, and investigates its benefits and limitations in genetic association studies. We applied the bounded Huber and extended the R package ‘robustbase’ with the re-descending Hampel functions to down-weight outlier influence. Computer simulations were carried out to assess the type I error rate, mean squared error (MSE) and statistical power according to major characteristics of the genetic study and investigated markers. Simulations were complemented with the analysis of real data. Both standard and robust estimation controlled type I error rates. Standard logistic regression showed the highest power but standard GRR estimates also showed the largest bias and MSE, in particular for associated rare and recessive variants. For illustration, a recessive variant with a true GRR=6.32 and a minor allele frequency=0.05 investigated in a 1000 case/1000 control study by standard logistic regression resulted in power=0.60 and MSE=16.5. The corresponding figures for Huber-based estimation were power=0.51 and MSE=0.53. Overall, Hampel- and Huber-based GRR estimates did not differ much. Robust logistic regression may represent a valuable alternative to standard maximum likelihood estimation when the focus lies on risk prediction rather than identification of susceptibility variants.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {genetic association study; re-descending Hampel function; robust logistic regression; winner’s curse+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]' Description:'Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unusually young age. Robust methods are available to constrain outlier influence, but they are scarcely used in genetic studies. This article provides a non-intimidating introduction to robust logistic regression, and investigates its benefits and limitations in genetic association studies. We applied the bounded Huber and extended the R package ‘robustbase’ with the re-descending Hampel functions to down-weight outlier influence. Computer simulations were carried out to assess the type I error rate, mean squared error (MSE) and statistical power according to major characteristics of the genetic study and investigated markers. Simulations were complemented with the analysis of real data. Both standard and robust estimation controlled type I error rates. Standard logistic regression showed the highest power but standard GRR estimates also showed the largest bias and MSE, in particular for associated rare and recessive variants. For illustration, a recessive variant with a true GRR=6.32 and a minor allele frequency=0.05 investigated in a 1000 case/1000 control study by standard logistic regression resulted in power=0.60 and MSE=16.5. The corresponding figures for Huber-based estimation were power=0.51 and MSE=0.53. Overall, Hampel- and Huber-based GRR estimates did not differ much. Robust logistic regression may represent a valuable alternative to standard maximum likelihood estimation when the focus lies on risk prediction rather than identification of susceptibility variants.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unusually young age. Robust methods are available to constrain outlier influence, but they are scarcely used in genetic studies. This article provides a non-intimidating introduction to robust logistic regression, and investigates its benefits and limitations in genetic association studies. We applied the bounded Huber and extended the R package ‘robustbase’ with the re-descending Hampel functions to down-weight outlier influence. Computer simulations were carried out to assess the type I error rate, mean squared error (MSE) and statistical power according to major characteristics of the genetic study and investigated markers. Simulations were complemented with the analysis of real data. Both standard and robust estimation controlled type I error rates. Standard logistic regression showed the highest power but standard GRR estimates also showed the largest bias and MSE, in particular for associated rare and recessive variants. For illustration, a recessive variant with a true GRR=6.32 and a minor allele frequency=0.05 investigated in a 1000 case/1000 control study by standard logistic regression resulted in power=0.60 and MSE=16.5. The corresponding figures for Huber-based estimation were power=0.51 and MSE=0.53. Overall, Hampel- and Huber-based GRR estimates did not differ much. Robust logistic regression may represent a valuable alternative to standard maximum likelihood estimation when the focus lies on risk prediction rather than identification of susceptibility variants.","Subject":"Medicine, Health and Life Sciences","Keywords":"genetic association study; re-descending Hampel function; robust logistic regression; winner’s curse"},{"pid":"doi:10.11588/data/10028","Title":"Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]' Description:'Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {BFM; Chromatin; Chromatin folding; Chromatin looping; Cohesin; CTCF; DNA; Dynamic Loop model; Monte-Carlo simulations; Polymer+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]' Description:'Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction.' Subject:'Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction.","Subject":"Medicine, Health and Life Sciences","Keywords":"BFM; Chromatin; Chromatin folding; Chromatin looping; Cohesin; CTCF; DNA; Dynamic Loop model; Monte-Carlo simulations; Polymer"},{"pid":"doi:10.11588/data/10039","Title":"Factors affecting the uptake of HIV testing among men","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Factors affecting the uptake of HIV testing among men' Description:'This study aimed to explore factors shaping the decision to undergo Human Immunodeficiency Virus (HIV) testing among men in rural Burkina Faso. The study took place in 2009 in the Nouna Health District and adopted a triangulation mixed methods design. Nouna Health District, is located in north-western Burkina Faso. At the time of the study, the district had a population of approximately 311,000 distributed in 300 villages and included 31 first-line facilities, Centres de Santé et de Promotion Sociale (CSPS)and one district hospital. A sub-portion of the district has been part of a Health and Demographic Surveillance System (HDSS) for over 15 years. Following national policy, starting in 2006, all CSPS were equipped to offer HIV counseling and testing to pregnant women and their partners as the entry point to PMTCT services. Explicit efforts were made to address the need for couple counseling and testing, encouraging spouses to be tested together with their pregnant wives. In addition, providers were encouraged to offer testing to anyone requesting it and/or to anyone who presented with potential symptoms of infection. The quantitative component relied on data collected through a structured survey on a representative sample of 1130 households. The qualitative component relied on 38 in-depth interviews, with men purposely selected to represent variation in testing decision, age, and place of residence. Household survey data were analyzed using Stata 11 (Stata Corporation, Texas, USA). The outcome variable was defined as “having tested for HIV”.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Burkina Faso; HIV testing; men; mixed-methods; sub-Saharan Africa+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Factors affecting the uptake of HIV testing among men' Description:'This study aimed to explore factors shaping the decision to undergo Human Immunodeficiency Virus (HIV) testing among men in rural Burkina Faso. The study took place in 2009 in the Nouna Health District and adopted a triangulation mixed methods design. Nouna Health District, is located in north-western Burkina Faso. At the time of the study, the district had a population of approximately 311,000 distributed in 300 villages and included 31 first-line facilities, Centres de Santé et de Promotion Sociale (CSPS)and one district hospital. A sub-portion of the district has been part of a Health and Demographic Surveillance System (HDSS) for over 15 years. Following national policy, starting in 2006, all CSPS were equipped to offer HIV counseling and testing to pregnant women and their partners as the entry point to PMTCT services. Explicit efforts were made to address the need for couple counseling and testing, encouraging spouses to be tested together with their pregnant wives. In addition, providers were encouraged to offer testing to anyone requesting it and/or to anyone who presented with potential symptoms of infection. The quantitative component relied on data collected through a structured survey on a representative sample of 1130 households. The qualitative component relied on 38 in-depth interviews, with men purposely selected to represent variation in testing decision, age, and place of residence. Household survey data were analyzed using Stata 11 (Stata Corporation, Texas, USA). The outcome variable was defined as “having tested for HIV”.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study aimed to explore factors shaping the decision to undergo Human Immunodeficiency Virus (HIV) testing among men in rural Burkina Faso. The study took place in 2009 in the Nouna Health District and adopted a triangulation mixed methods design. Nouna Health District, is located in north-western Burkina Faso. At the time of the study, the district had a population of approximately 311,000 distributed in 300 villages and included 31 first-line facilities, Centres de Santé et de Promotion Sociale (CSPS)and one district hospital. A sub-portion of the district has been part of a Health and Demographic Surveillance System (HDSS) for over 15 years. Following national policy, starting in 2006, all CSPS were equipped to offer HIV counseling and testing to pregnant women and their partners as the entry point to PMTCT services. Explicit efforts were made to address the need for couple counseling and testing, encouraging spouses to be tested together with their pregnant wives. In addition, providers were encouraged to offer testing to anyone requesting it and/or to anyone who presented with potential symptoms of infection. The quantitative component relied on data collected through a structured survey on a representative sample of 1130 households. The qualitative component relied on 38 in-depth interviews, with men purposely selected to represent variation in testing decision, age, and place of residence. Household survey data were analyzed using Stata 11 (Stata Corporation, Texas, USA). The outcome variable was defined as “having tested for HIV”.","Subject":"Medicine, Health and Life Sciences","Keywords":"Burkina Faso; HIV testing; men; mixed-methods; sub-Saharan Africa"},{"pid":"doi:10.15139/S3/H3UJMQ","Title":"CBEHPP Filter Trial Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CBEHPP Filter Trial Data' Description:'Long-format household-level data and long-format child-level data for the Community-Based Environmental Health Promotion Programme Filter Trial Study in Rwanda' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {WASH; water quality; Rwanda; diarrhea; child health+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CBEHPP Filter Trial Data' Description:'Long-format household-level data and long-format child-level data for the Community-Based Environmental Health Promotion Programme Filter Trial Study in Rwanda' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Long-format household-level data and long-format child-level data for the Community-Based Environmental Health Promotion Programme Filter Trial Study in Rwanda","Subject":"Medicine, Health and Life Sciences","Keywords":"WASH; water quality; Rwanda; diarrhea; child health"},{"pid":"doi:10.11588/data/7IWYPF","Title":"How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations [Research Data]' Description:'The data and scripts accompany the following manuscript: 'How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations'. To use the data with the R scripts, we recommend downloading them in their original file format (.csv).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambulatory assessment; Ecological momentary assessment; Multilevel modeling; Salivary cortisol; Stress+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations [Research Data]' Description:'The data and scripts accompany the following manuscript: 'How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations'. To use the data with the R scripts, we recommend downloading them in their original file format (.csv).' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data and scripts accompany the following manuscript: 'How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations'. To use the data with the R scripts, we recommend downloading them in their original file format (.csv).","Subject":"Medicine, Health and Life Sciences","Keywords":"Ambulatory assessment; Ecological momentary assessment; Multilevel modeling; Salivary cortisol; Stress"},{"pid":"doi:10.11588/data/10092","Title":"HDAMM-predictor: prediction of progression in asymptomatic myeloma patients","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'HDAMM-predictor: prediction of progression in asymptomatic myeloma patients' Description:'The HDAMM-predictor is based on microarray gene expression and predicts the risk of progression from asymptomatic to symptomatic myeloma. It divides the patients in three groups, from low to high risk to progress. It was generated according to the method published by Rème et al. 2013. Gene expression profiles of 259 asymptomatic myeloma patients were used as trainingset.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Asymptomatic myeloma; Multiple myeloma; Prognosis; Progression; Risk prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'HDAMM-predictor: prediction of progression in asymptomatic myeloma patients' Description:'The HDAMM-predictor is based on microarray gene expression and predicts the risk of progression from asymptomatic to symptomatic myeloma. It divides the patients in three groups, from low to high risk to progress. It was generated according to the method published by Rème et al. 2013. Gene expression profiles of 259 asymptomatic myeloma patients were used as trainingset.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The HDAMM-predictor is based on microarray gene expression and predicts the risk of progression from asymptomatic to symptomatic myeloma. It divides the patients in three groups, from low to high risk to progress. It was generated according to the method published by Rème et al. 2013. Gene expression profiles of 259 asymptomatic myeloma patients were used as trainingset.","Subject":"Medicine, Health and Life Sciences","Keywords":"Asymptomatic myeloma; Multiple myeloma; Prognosis; Progression; Risk prediction"},{"pid":"doi:10.11588/data/10099","Title":"Promoting water consumption using behavioral economics insights [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Promoting water consumption using behavioral economics insights [Dataset]' Description:'Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar environments into supportive environments for the infants to make healthier food choices. The influence of the environment (the so-called “choice architecture”) on people’s perceptions and decisions is studied by economists with the aim of supporting individuals’ to make healthier decisions, using tools known as “nudges”. However, 'nudges' are not commonly integrated into anti-obesity strategies. We designed an intervention trying to find out whether such a small, liberty-preserving intervention could increase the effectiveness of a water-promotion campaign, when compared to the common approach of an educative talk. The intervention was developed in three schools in Mexico City and the State of Mexico. The body mass index, standardized by Z-scores, was used as the indicator of campaign success. Although – mainly due to problems within the sample and a yet too-short follow-up – our results do not show considerable differences between the approaches, they provide insights suggesting that including “nudges” into a health promoting campaign may indeed have a positive impact.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {behavioral economics; children; nudge; obesity; public health+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Promoting water consumption using behavioral economics insights [Dataset]' Description:'Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar environments into supportive environments for the infants to make healthier food choices. The influence of the environment (the so-called “choice architecture”) on people’s perceptions and decisions is studied by economists with the aim of supporting individuals’ to make healthier decisions, using tools known as “nudges”. However, 'nudges' are not commonly integrated into anti-obesity strategies. We designed an intervention trying to find out whether such a small, liberty-preserving intervention could increase the effectiveness of a water-promotion campaign, when compared to the common approach of an educative talk. The intervention was developed in three schools in Mexico City and the State of Mexico. The body mass index, standardized by Z-scores, was used as the indicator of campaign success. Although – mainly due to problems within the sample and a yet too-short follow-up – our results do not show considerable differences between the approaches, they provide insights suggesting that including “nudges” into a health promoting campaign may indeed have a positive impact.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar environments into supportive environments for the infants to make healthier food choices. The influence of the environment (the so-called “choice architecture”) on people’s perceptions and decisions is studied by economists with the aim of supporting individuals’ to make healthier decisions, using tools known as “nudges”. However, 'nudges' are not commonly integrated into anti-obesity strategies. We designed an intervention trying to find out whether such a small, liberty-preserving intervention could increase the effectiveness of a water-promotion campaign, when compared to the common approach of an educative talk. The intervention was developed in three schools in Mexico City and the State of Mexico. The body mass index, standardized by Z-scores, was used as the indicator of campaign success. Although – mainly due to problems within the sample and a yet too-short follow-up – our results do not show considerable differences between the approaches, they provide insights suggesting that including “nudges” into a health promoting campaign may indeed have a positive impact.","Subject":"Medicine, Health and Life Sciences","Keywords":"behavioral economics; children; nudge; obesity; public health"},{"pid":"doi:10.11588/data/3NKHAY","Title":"Dual kinetic and structural role for the surface in guiding SAS-6 self-assembly to direct centriole architecture [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dual kinetic and structural role for the surface in guiding SAS-6 self-assembly to direct centriole architecture [Data]' Description:'This dataset contains input structures and parameters for coarse-grained molecular dynamics simulation of SAS-6 protein oligomers as well as post-processing files and analysis scripts. Abstract of related publication:Discovering mechanisms governing organelle assembly is a fundamental pursuit in the life sciences. The centriole is an evolutionarily conserved organelle with a signature 9-fold symmetrical chiral arrangement of microtubules imparted onto the cilium it templates. The first structure in nascent centrioles is a cartwheel, which comprises stacked 9-fold symmetrical SAS-6 ring polymers and emerging orthogonal to a surface surrounding resident centrioles. The mechanisms through which SAS-6 polymerization ensures centriole organelle architecture remain elusive. We deployed photothermally-actuated off-resonance tapping high-speed atomic force microscopy (PORT-HS-AFM) to decipher surface SAS-6 self-assembly mechanisms. We discovered that the surface shifts the reaction equilibrium by ~104 compared to solution. Moreover, coarse-grained molecular dynamics simulations and PORT-HS-AFM revealed that the surface converts the inherently helical propensity of SAS-6 polymers into 9-fold rings with residual asymmetry, which may guide ring stacking and impart chiral features to centrioles and cilia. Overall, our work reveals fundamental design principles governing centriole assembly.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {centriole assembly; coarse-graining; Martini force field; MD simulation; SAS-6+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dual kinetic and structural role for the surface in guiding SAS-6 self-assembly to direct centriole architecture [Data]' Description:'This dataset contains input structures and parameters for coarse-grained molecular dynamics simulation of SAS-6 protein oligomers as well as post-processing files and analysis scripts. Abstract of related publication:Discovering mechanisms governing organelle assembly is a fundamental pursuit in the life sciences. The centriole is an evolutionarily conserved organelle with a signature 9-fold symmetrical chiral arrangement of microtubules imparted onto the cilium it templates. The first structure in nascent centrioles is a cartwheel, which comprises stacked 9-fold symmetrical SAS-6 ring polymers and emerging orthogonal to a surface surrounding resident centrioles. The mechanisms through which SAS-6 polymerization ensures centriole organelle architecture remain elusive. We deployed photothermally-actuated off-resonance tapping high-speed atomic force microscopy (PORT-HS-AFM) to decipher surface SAS-6 self-assembly mechanisms. We discovered that the surface shifts the reaction equilibrium by ~104 compared to solution. Moreover, coarse-grained molecular dynamics simulations and PORT-HS-AFM revealed that the surface converts the inherently helical propensity of SAS-6 polymers into 9-fold rings with residual asymmetry, which may guide ring stacking and impart chiral features to centrioles and cilia. Overall, our work reveals fundamental design principles governing centriole assembly.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains input structures and parameters for coarse-grained molecular dynamics simulation of SAS-6 protein oligomers as well as post-processing files and analysis scripts. Abstract of related publication:Discovering mechanisms governing organelle assembly is a fundamental pursuit in the life sciences. The centriole is an evolutionarily conserved organelle with a signature 9-fold symmetrical chiral arrangement of microtubules imparted onto the cilium it templates. The first structure in nascent centrioles is a cartwheel, which comprises stacked 9-fold symmetrical SAS-6 ring polymers and emerging orthogonal to a surface surrounding resident centrioles. The mechanisms through which SAS-6 polymerization ensures centriole organelle architecture remain elusive. We deployed photothermally-actuated off-resonance tapping high-speed atomic force microscopy (PORT-HS-AFM) to decipher surface SAS-6 self-assembly mechanisms. We discovered that the surface shifts the reaction equilibrium by ~104 compared to solution. Moreover, coarse-grained molecular dynamics simulations and PORT-HS-AFM revealed that the surface converts the inherently helical propensity of SAS-6 polymers into 9-fold rings with residual asymmetry, which may guide ring stacking and impart chiral features to centrioles and cilia. Overall, our work reveals fundamental design principles governing centriole assembly.","Subject":"Medicine, Health and Life Sciences","Keywords":"centriole assembly; coarse-graining; Martini force field; MD simulation; SAS-6"},{"pid":"doi:10.11588/data/5JCEVW","Title":"Physicians’ Attitudes towards Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey. [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Physicians’ Attitudes towards Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey. [Research Data]' Description:'This is the research data from the publication 'Physicians' Attitudes toward Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey.' The research data includes the questionnaire, the data set used, and a description of the data preparation.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {clinical data; data access; data sharing; health data; physician attitudes; physician-scientists; secondary use+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Physicians’ Attitudes towards Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey. [Research Data]' Description:'This is the research data from the publication 'Physicians' Attitudes toward Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey.' The research data includes the questionnaire, the data set used, and a description of the data preparation.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the research data from the publication 'Physicians' Attitudes toward Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey.' The research data includes the questionnaire, the data set used, and a description of the data preparation.","Subject":"Medicine, Health and Life Sciences","Keywords":"clinical data; data access; data sharing; health data; physician attitudes; physician-scientists; secondary use"},{"pid":"doi:10.11588/data/5RSAM3","Title":"DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]' Description:'To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH).Dynamic contrast enhanced magnetic resonance examinations were performed in 16 healthy volunteers on a 3 Tesla MR-system with two parameterizations of the BLADE sequence and the standard reference acquisition scheme. Signal intensity enhanced time curves were analyzed with a mathematical model and a widely published separable compartment model on cortex regions to assess robustness versus motion artifacts' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {BLADE; DCE-MRI; Motion Correction; Perfusion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]' Description:'To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH).Dynamic contrast enhanced magnetic resonance examinations were performed in 16 healthy volunteers on a 3 Tesla MR-system with two parameterizations of the BLADE sequence and the standard reference acquisition scheme. Signal intensity enhanced time curves were analyzed with a mathematical model and a widely published separable compartment model on cortex regions to assess robustness versus motion artifacts' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH).Dynamic contrast enhanced magnetic resonance examinations were performed in 16 healthy volunteers on a 3 Tesla MR-system with two parameterizations of the BLADE sequence and the standard reference acquisition scheme. Signal intensity enhanced time curves were analyzed with a mathematical model and a widely published separable compartment model on cortex regions to assess robustness versus motion artifacts","Subject":"Medicine, Health and Life Sciences","Keywords":"BLADE; DCE-MRI; Motion Correction; Perfusion"},{"pid":"doi:10.11588/data/7NRFYC","Title":"Synthesis of CT images from digital body phantoms using CycleGAN [dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Synthesis of CT images from digital body phantoms using CycleGAN [dataset]' Description:'The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CT synthesis; CycleGAN; Generative Adversial Networks; physical modeling; simulation based deep learning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Synthesis of CT images from digital body phantoms using CycleGAN [dataset]' Description:'The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms.","Subject":" Medicine, Health and Life Sciences","Keywords":"CT synthesis; CycleGAN; Generative Adversial Networks; physical modeling; simulation based deep learning"},{"pid":"doi:10.11588/data/8LKEZF","Title":"Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]' Description:'Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University. The HE-Staining Variation (HEV) data set offers serial sections of a follicular thyroid carcinoma, stained with different HE-staining protocols (including name of [stainVariant]):stained with HE with the standard protocol of the Institute of Pathology, Mannheim (HE)stained too long with HE (longHE)stained too short with HE (shortHE)stained only with Hematoxylin (onlyH)stained only with Eosin (onlyE)stained too long with Hematoxylin (longH)stained too long with Eosin (longE)stained too short with Hematoxylin (shortH)stained too short with Eosin (shortE)We provided the original whole-slide-images (WSI) in the folder HEV_wsi.zip for each stain-variant.In addition, for the stain-variants 1-5 we provide patches (n ~40,000 for each set) of size 256x256 pixels and split them into 60% train (train_[stainVariant].zip) and 40% test (test_[stainVariant].zip) sets . Patches from our TumorLymphnode data set for image classification are provided inside tumorLymphnode_patches.zip. It contains ~3,600 patches of size 165x165 pixels for each class normal lymph nodes (normal) and carcinoma infiltration (tumor).The code for our models is available at Gitlab.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Stain Normalization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]' Description:'Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University. The HE-Staining Variation (HEV) data set offers serial sections of a follicular thyroid carcinoma, stained with different HE-staining protocols (including name of [stainVariant]):stained with HE with the standard protocol of the Institute of Pathology, Mannheim (HE)stained too long with HE (longHE)stained too short with HE (shortHE)stained only with Hematoxylin (onlyH)stained only with Eosin (onlyE)stained too long with Hematoxylin (longH)stained too long with Eosin (longE)stained too short with Hematoxylin (shortH)stained too short with Eosin (shortE)We provided the original whole-slide-images (WSI) in the folder HEV_wsi.zip for each stain-variant.In addition, for the stain-variants 1-5 we provide patches (n ~40,000 for each set) of size 256x256 pixels and split them into 60% train (train_[stainVariant].zip) and 40% test (test_[stainVariant].zip) sets . Patches from our TumorLymphnode data set for image classification are provided inside tumorLymphnode_patches.zip. It contains ~3,600 patches of size 165x165 pixels for each class normal lymph nodes (normal) and carcinoma infiltration (tumor).The code for our models is available at Gitlab.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University. The HE-Staining Variation (HEV) data set offers serial sections of a follicular thyroid carcinoma, stained with different HE-staining protocols (including name of [stainVariant]):stained with HE with the standard protocol of the Institute of Pathology, Mannheim (HE)stained too long with HE (longHE)stained too short with HE (shortHE)stained only with Hematoxylin (onlyH)stained only with Eosin (onlyE)stained too long with Hematoxylin (longH)stained too long with Eosin (longE)stained too short with Hematoxylin (shortH)stained too short with Eosin (shortE)We provided the original whole-slide-images (WSI) in the folder HEV_wsi.zip for each stain-variant.In addition, for the stain-variants 1-5 we provide patches (n ~40,000 for each set) of size 256x256 pixels and split them into 60% train (train_[stainVariant].zip) and 40% test (test_[stainVariant].zip) sets . Patches from our TumorLymphnode data set for image classification are provided inside tumorLymphnode_patches.zip. It contains ~3,600 patches of size 165x165 pixels for each class normal lymph nodes (normal) and carcinoma infiltration (tumor).The code for our models is available at Gitlab.","Subject":" Medicine, Health and Life Sciences","Keywords":"Stain Normalization"},{"pid":"doi:10.11588/data/AOSUS8","Title":"Fish primary embryonic pluripotent cells assemble into retinal tissue mirroring in vivo early eye development - in vivo imaging of OV formation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fish primary embryonic pluripotent cells assemble into retinal tissue mirroring in vivo early eye development - in vivo imaging of OV formation' Description:'Development of a functional retina is accompanied by several morphological events transitions that ultimately result in the formation of a functional retina. One of them is the formation of the OV. When fish-derived organoids were generated with reduced cell-seeding density by 50%, the organoids formed individual domains reminiscent of the forming optic vesicle in vivo. To address the mode of OV formation in fish organoids, we employed live imaging of Rx3::H2B-GFP-derived organoids from day 1 to day 2 of development. This dataset is a raw data from live imaging of Rx3::H2B-GFP-derived organoids from day 1 to day 2 of development performed on the 16× detection MuVi SPIM Multiview light-sheet microscope (Luxendo Light-sheet, Bruker Corporation).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {in vivo imaging; light-sheet microscopy; medaka fish; organoid; retina+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fish primary embryonic pluripotent cells assemble into retinal tissue mirroring in vivo early eye development - in vivo imaging of OV formation' Description:'Development of a functional retina is accompanied by several morphological events transitions that ultimately result in the formation of a functional retina. One of them is the formation of the OV. When fish-derived organoids were generated with reduced cell-seeding density by 50%, the organoids formed individual domains reminiscent of the forming optic vesicle in vivo. To address the mode of OV formation in fish organoids, we employed live imaging of Rx3::H2B-GFP-derived organoids from day 1 to day 2 of development. This dataset is a raw data from live imaging of Rx3::H2B-GFP-derived organoids from day 1 to day 2 of development performed on the 16× detection MuVi SPIM Multiview light-sheet microscope (Luxendo Light-sheet, Bruker Corporation).' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Development of a functional retina is accompanied by several morphological events transitions that ultimately result in the formation of a functional retina. One of them is the formation of the OV. When fish-derived organoids were generated with reduced cell-seeding density by 50%, the organoids formed individual domains reminiscent of the forming optic vesicle in vivo. To address the mode of OV formation in fish organoids, we employed live imaging of Rx3::H2B-GFP-derived organoids from day 1 to day 2 of development. This dataset is a raw data from live imaging of Rx3::H2B-GFP-derived organoids from day 1 to day 2 of development performed on the 16× detection MuVi SPIM Multiview light-sheet microscope (Luxendo Light-sheet, Bruker Corporation).","Subject":"Medicine, Health and Life Sciences","Keywords":"in vivo imaging; light-sheet microscopy; medaka fish; organoid; retina"},{"pid":"doi:10.11588/data/ARWJHB","Title":"Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archaeobotany; Konstanz; Middle Ages+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.","Subject":" Medicine, Health and Life Sciences","Keywords":"Archaeobotany; Konstanz; Middle Ages"},{"pid":"doi:10.11588/data/ARWJHB","Title":"Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archaeobotany; Konstanz; Middle Ages+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.","Subject":" Medicine, Health and Life Sciences","Keywords":"Archaeobotany; Konstanz; Middle Ages"},{"pid":"doi:10.11588/data/BQTQUN","Title":"Intrinsically disordered region of talin’s FERM domain functions as an initial PIP2 recognition site [research data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Intrinsically disordered region of talin’s FERM domain functions as an initial PIP2 recognition site [research data]' Description:'Focal adhesions (FAs) mediate the interaction of the cytoskeleton with the extracellular matrix (ECM) in a highly dynamic fashion. talin is a central regulator, adaptor protein and mechano-sensor of focal adhesion complexes. For recruitment and firm attachment at FAs, talin’s N-terminal FERM domain binds to phosphatidylinositol 4,5-bisphosphate (PIP2)-enriched membranes. A newly published autoinhibitory structure of talin-1, where the known PIP2 interaction sites are covered up, lead us to hypothesize that a hitherto less examined loop insertion of the FERM domain acts as an additional and initial site of contact. We evaluated direct interactions of talin-1 with a PIP2 membrane by means of atomistic molecular dynamics (MD) simulations. We show that this unstructured, 33-residue-long loop strongly interacts with PIP2 and can facilitate further membrane contacts, including the canonical PIP2 interactions, by serving as a flexible membrane anchor. Under force as present at FAs, the extensible FERM loop ensures talin to maintain membrane contacts when pulled away from the membrane by up to 7 nm. We identify key basic residues of the anchor mediating the highly dynamic talin-membrane interaction. Our results put forward an intrinsically disordered loop as a key and highly adaptable PIP2 recognition site of talin and potentially other PIP2-binding mechano-proteins.This dataset contains setup scripts, molecular dynamics parameters, input files and derived data from the molecular dynamics simulations of this paper available at https://hits-mbm-dev.github.io/paper-talin-loop/.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {molecular dynamics; PIP2; talin-1+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Intrinsically disordered region of talin’s FERM domain functions as an initial PIP2 recognition site [research data]' Description:'Focal adhesions (FAs) mediate the interaction of the cytoskeleton with the extracellular matrix (ECM) in a highly dynamic fashion. talin is a central regulator, adaptor protein and mechano-sensor of focal adhesion complexes. For recruitment and firm attachment at FAs, talin’s N-terminal FERM domain binds to phosphatidylinositol 4,5-bisphosphate (PIP2)-enriched membranes. A newly published autoinhibitory structure of talin-1, where the known PIP2 interaction sites are covered up, lead us to hypothesize that a hitherto less examined loop insertion of the FERM domain acts as an additional and initial site of contact. We evaluated direct interactions of talin-1 with a PIP2 membrane by means of atomistic molecular dynamics (MD) simulations. We show that this unstructured, 33-residue-long loop strongly interacts with PIP2 and can facilitate further membrane contacts, including the canonical PIP2 interactions, by serving as a flexible membrane anchor. Under force as present at FAs, the extensible FERM loop ensures talin to maintain membrane contacts when pulled away from the membrane by up to 7 nm. We identify key basic residues of the anchor mediating the highly dynamic talin-membrane interaction. Our results put forward an intrinsically disordered loop as a key and highly adaptable PIP2 recognition site of talin and potentially other PIP2-binding mechano-proteins.This dataset contains setup scripts, molecular dynamics parameters, input files and derived data from the molecular dynamics simulations of this paper available at https://hits-mbm-dev.github.io/paper-talin-loop/.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Focal adhesions (FAs) mediate the interaction of the cytoskeleton with the extracellular matrix (ECM) in a highly dynamic fashion. talin is a central regulator, adaptor protein and mechano-sensor of focal adhesion complexes. For recruitment and firm attachment at FAs, talin’s N-terminal FERM domain binds to phosphatidylinositol 4,5-bisphosphate (PIP2)-enriched membranes. A newly published autoinhibitory structure of talin-1, where the known PIP2 interaction sites are covered up, lead us to hypothesize that a hitherto less examined loop insertion of the FERM domain acts as an additional and initial site of contact. We evaluated direct interactions of talin-1 with a PIP2 membrane by means of atomistic molecular dynamics (MD) simulations. We show that this unstructured, 33-residue-long loop strongly interacts with PIP2 and can facilitate further membrane contacts, including the canonical PIP2 interactions, by serving as a flexible membrane anchor. Under force as present at FAs, the extensible FERM loop ensures talin to maintain membrane contacts when pulled away from the membrane by up to 7 nm. We identify key basic residues of the anchor mediating the highly dynamic talin-membrane interaction. Our results put forward an intrinsically disordered loop as a key and highly adaptable PIP2 recognition site of talin and potentially other PIP2-binding mechano-proteins.This dataset contains setup scripts, molecular dynamics parameters, input files and derived data from the molecular dynamics simulations of this paper available at https://hits-mbm-dev.github.io/paper-talin-loop/.","Subject":"Medicine, Health and Life Sciences","Keywords":"molecular dynamics; PIP2; talin-1"},{"pid":"doi:10.11588/data/D0ACC0","Title":"Evaluation of the accuracy, exclusivity, limit-of-detection and ease-of-use of the LumiraDx SARS-CoV-2 test - A rapid, antigen-detecting point-of-care tool for the diagnosis of SARS-CoV-2 [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Evaluation of the accuracy, exclusivity, limit-of-detection and ease-of-use of the LumiraDx SARS-CoV-2 test - A rapid, antigen-detecting point-of-care tool for the diagnosis of SARS-CoV-2 [Research Data]' Description:'This repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab was performed for Ag-RDT testing. Routine swabs were nasopharyngeal (NP) or combined NP/oropharyngeal (OP) whereas the study-exclusive swabs were NP. To evaluate performance, sensitivity and specificity were assessed overall and in predefined sub analyses accordingly to viral load, days of symptoms and symptoms. In addition, further data from the participants were collected during interviews' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {antigen-detecting rapid tests; Covid-19; Diagnostics; SARS-CoV-2+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Evaluation of the accuracy, exclusivity, limit-of-detection and ease-of-use of the LumiraDx SARS-CoV-2 test - A rapid, antigen-detecting point-of-care tool for the diagnosis of SARS-CoV-2 [Research Data]' Description:'This repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab was performed for Ag-RDT testing. Routine swabs were nasopharyngeal (NP) or combined NP/oropharyngeal (OP) whereas the study-exclusive swabs were NP. To evaluate performance, sensitivity and specificity were assessed overall and in predefined sub analyses accordingly to viral load, days of symptoms and symptoms. In addition, further data from the participants were collected during interviews' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab was performed for Ag-RDT testing. Routine swabs were nasopharyngeal (NP) or combined NP/oropharyngeal (OP) whereas the study-exclusive swabs were NP. To evaluate performance, sensitivity and specificity were assessed overall and in predefined sub analyses accordingly to viral load, days of symptoms and symptoms. In addition, further data from the participants were collected during interviews","Subject":"Medicine, Health and Life Sciences","Keywords":"antigen-detecting rapid tests; Covid-19; Diagnostics; SARS-CoV-2"},{"pid":"doi:10.11588/data/DNOSZG","Title":"Monosynaptic trans-collicular pathways for sensory-motor integration in the whisker system [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monosynaptic trans-collicular pathways for sensory-motor integration in the whisker system [Research Data]' Description:'This dataset contains electrophysiological spike time data and figure data for anatomical quantifications reported in Martín-Cortecero et al. Monosynaptic trans-collicular pathways for sensory-motor integration in the whisker system(2023).Abstract: The superior colliculus (SC), a conserved midbrain-node with extensive long-range connectivity throughout the brain, is a key structure for innate behaviors. Descending cortical pathways are increasingly recognized as central control points for SC-mediated behaviors, but how cortico-collicular pathways coordinate SC activity at the cellular level is poorly understood. Moreover, despite the known role of the SC as a multisensory integrator, the involvement of the SC in the somatosensory system is largely unexplored in comparison to its involvement in the visual and auditory systems. Here, we mapped the input-output properties of the whisker-sensitive region of the SC in mice with transsynaptic and intersectional tracing tools and in vivo electrophysiology. The results reveal a novel trans-collicular connectivity motif by which neurons in motor- and somatosensory cortices impinge onto the brainstem-SC-brainstem sensory-motor arc and onto SC-midbrain output pathways via only one synapse in the SC. Intersectional approaches and optogenetically assisted connectivity quantifications in vivo reveal convergence of motor and somatosensory cortical input on individual SC neurons, providing a new framework for sensory-motor integration in the SC. More than a third of the cortical recipient neurons in the whisker SC are GABAergic neurons, which accommodate hitherto unknown GABAergic projection neurons, targeting thalamic nuclei and the zona incerta. These results pinpoint a whisker region in the SC of mice as a node for the integration of somatosensory and motor cortical signals via parallel excitatory and inhibitory trans-collicular pathways which link cortical and subcortical whisker circuits for somato-motor integration.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {optogenetics; sensory circuits; sensory-motor convergence; spike time data; superior colliculus; whisker system+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monosynaptic trans-collicular pathways for sensory-motor integration in the whisker system [Research Data]' Description:'This dataset contains electrophysiological spike time data and figure data for anatomical quantifications reported in Martín-Cortecero et al. Monosynaptic trans-collicular pathways for sensory-motor integration in the whisker system(2023).Abstract: The superior colliculus (SC), a conserved midbrain-node with extensive long-range connectivity throughout the brain, is a key structure for innate behaviors. Descending cortical pathways are increasingly recognized as central control points for SC-mediated behaviors, but how cortico-collicular pathways coordinate SC activity at the cellular level is poorly understood. Moreover, despite the known role of the SC as a multisensory integrator, the involvement of the SC in the somatosensory system is largely unexplored in comparison to its involvement in the visual and auditory systems. Here, we mapped the input-output properties of the whisker-sensitive region of the SC in mice with transsynaptic and intersectional tracing tools and in vivo electrophysiology. The results reveal a novel trans-collicular connectivity motif by which neurons in motor- and somatosensory cortices impinge onto the brainstem-SC-brainstem sensory-motor arc and onto SC-midbrain output pathways via only one synapse in the SC. Intersectional approaches and optogenetically assisted connectivity quantifications in vivo reveal convergence of motor and somatosensory cortical input on individual SC neurons, providing a new framework for sensory-motor integration in the SC. More than a third of the cortical recipient neurons in the whisker SC are GABAergic neurons, which accommodate hitherto unknown GABAergic projection neurons, targeting thalamic nuclei and the zona incerta. These results pinpoint a whisker region in the SC of mice as a node for the integration of somatosensory and motor cortical signals via parallel excitatory and inhibitory trans-collicular pathways which link cortical and subcortical whisker circuits for somato-motor integration.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains electrophysiological spike time data and figure data for anatomical quantifications reported in Martín-Cortecero et al. Monosynaptic trans-collicular pathways for sensory-motor integration in the whisker system(2023).Abstract: The superior colliculus (SC), a conserved midbrain-node with extensive long-range connectivity throughout the brain, is a key structure for innate behaviors. Descending cortical pathways are increasingly recognized as central control points for SC-mediated behaviors, but how cortico-collicular pathways coordinate SC activity at the cellular level is poorly understood. Moreover, despite the known role of the SC as a multisensory integrator, the involvement of the SC in the somatosensory system is largely unexplored in comparison to its involvement in the visual and auditory systems. Here, we mapped the input-output properties of the whisker-sensitive region of the SC in mice with transsynaptic and intersectional tracing tools and in vivo electrophysiology. The results reveal a novel trans-collicular connectivity motif by which neurons in motor- and somatosensory cortices impinge onto the brainstem-SC-brainstem sensory-motor arc and onto SC-midbrain output pathways via only one synapse in the SC. Intersectional approaches and optogenetically assisted connectivity quantifications in vivo reveal convergence of motor and somatosensory cortical input on individual SC neurons, providing a new framework for sensory-motor integration in the SC. More than a third of the cortical recipient neurons in the whisker SC are GABAergic neurons, which accommodate hitherto unknown GABAergic projection neurons, targeting thalamic nuclei and the zona incerta. These results pinpoint a whisker region in the SC of mice as a node for the integration of somatosensory and motor cortical signals via parallel excitatory and inhibitory trans-collicular pathways which link cortical and subcortical whisker circuits for somato-motor integration.","Subject":"Medicine, Health and Life Sciences","Keywords":"optogenetics; sensory circuits; sensory-motor convergence; spike time data; superior colliculus; whisker system"},{"pid":"doi:10.11588/data/EIXOPN","Title":"Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis from SIRS on ICU Admission","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis from SIRS on ICU Admission' Description:'Background: Infection can induce granulopoiesis. This process potentially gives rise to blood gene classifiers of sepsis in systemic inflammatory response syndrome (SIRS) patients. The aim of this study was to identify sepsis signature genes in blood granulocytes from patients with sepsis and SIRS on intensive care unit (ICU) admission.Methods: CD15+ cells encompassing all stage of terminal granulocytic differentiation were analyzed. CD15 transcriptomes from patients with sepsis and SIRS on ICU admission and presurgical controls (discovery cohort) were subjected to differential gene expression and pathway enrichment analyses. Differential expression was validated by bead array in independent sepsis and SIRS patients (validation cohort). We referred to the GeneCards database for subcellular gene associations and Grassi et al. (Cell Rep 2018; 24: 2784-2794) for granule signature genes. Blood counts of granulocyte precursors were determined by flow cytometry in a validation cohort subset.Results: Despite similar transcriptional CD15 responses in sepsis and SIRS, enrichment of pathways known to decline at the metamyelocyte stage (mitochondrial, lysosome, cell cycle, proteasome) was associated with sepsis but not SIRS. Twelve of 30 validated genes, from 100 selected for changes in response to sepsis rather than SIRS, were endo-lysosomal. Revisiting the discovery transcriptomes revealed elevated expression of promyelocyte-restricted azurophilic granule genes in sepsis and myelocyte-restricted specific granule genes in sepsis followed by SIRS. Blood counts of promyelocytes and myelocytes were higher in sepsis than SIRS. Conclusions: Sepsis-induced granulopoiesis and signature genes of early terminal granulocytic differentiation provide a rationale for classifiers of sepsis in patients with SIRS on ICU admission. Yet, distinction of this process from non-infectious tissue injury-induced granulopoiesis remains to be investigated.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {granulocytes; intensive care unit; sepsis; signature genes; systemic inflammatory response syndrome+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis from SIRS on ICU Admission' Description:'Background: Infection can induce granulopoiesis. This process potentially gives rise to blood gene classifiers of sepsis in systemic inflammatory response syndrome (SIRS) patients. The aim of this study was to identify sepsis signature genes in blood granulocytes from patients with sepsis and SIRS on intensive care unit (ICU) admission.Methods: CD15+ cells encompassing all stage of terminal granulocytic differentiation were analyzed. CD15 transcriptomes from patients with sepsis and SIRS on ICU admission and presurgical controls (discovery cohort) were subjected to differential gene expression and pathway enrichment analyses. Differential expression was validated by bead array in independent sepsis and SIRS patients (validation cohort). We referred to the GeneCards database for subcellular gene associations and Grassi et al. (Cell Rep 2018; 24: 2784-2794) for granule signature genes. Blood counts of granulocyte precursors were determined by flow cytometry in a validation cohort subset.Results: Despite similar transcriptional CD15 responses in sepsis and SIRS, enrichment of pathways known to decline at the metamyelocyte stage (mitochondrial, lysosome, cell cycle, proteasome) was associated with sepsis but not SIRS. Twelve of 30 validated genes, from 100 selected for changes in response to sepsis rather than SIRS, were endo-lysosomal. Revisiting the discovery transcriptomes revealed elevated expression of promyelocyte-restricted azurophilic granule genes in sepsis and myelocyte-restricted specific granule genes in sepsis followed by SIRS. Blood counts of promyelocytes and myelocytes were higher in sepsis than SIRS. Conclusions: Sepsis-induced granulopoiesis and signature genes of early terminal granulocytic differentiation provide a rationale for classifiers of sepsis in patients with SIRS on ICU admission. Yet, distinction of this process from non-infectious tissue injury-induced granulopoiesis remains to be investigated.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background: Infection can induce granulopoiesis. This process potentially gives rise to blood gene classifiers of sepsis in systemic inflammatory response syndrome (SIRS) patients. The aim of this study was to identify sepsis signature genes in blood granulocytes from patients with sepsis and SIRS on intensive care unit (ICU) admission.Methods: CD15+ cells encompassing all stage of terminal granulocytic differentiation were analyzed. CD15 transcriptomes from patients with sepsis and SIRS on ICU admission and presurgical controls (discovery cohort) were subjected to differential gene expression and pathway enrichment analyses. Differential expression was validated by bead array in independent sepsis and SIRS patients (validation cohort). We referred to the GeneCards database for subcellular gene associations and Grassi et al. (Cell Rep 2018; 24: 2784-2794) for granule signature genes. Blood counts of granulocyte precursors were determined by flow cytometry in a validation cohort subset.Results: Despite similar transcriptional CD15 responses in sepsis and SIRS, enrichment of pathways known to decline at the metamyelocyte stage (mitochondrial, lysosome, cell cycle, proteasome) was associated with sepsis but not SIRS. Twelve of 30 validated genes, from 100 selected for changes in response to sepsis rather than SIRS, were endo-lysosomal. Revisiting the discovery transcriptomes revealed elevated expression of promyelocyte-restricted azurophilic granule genes in sepsis and myelocyte-restricted specific granule genes in sepsis followed by SIRS. Blood counts of promyelocytes and myelocytes were higher in sepsis than SIRS. Conclusions: Sepsis-induced granulopoiesis and signature genes of early terminal granulocytic differentiation provide a rationale for classifiers of sepsis in patients with SIRS on ICU admission. Yet, distinction of this process from non-infectious tissue injury-induced granulopoiesis remains to be investigated.","Subject":"Medicine, Health and Life Sciences","Keywords":"granulocytes; intensive care unit; sepsis; signature genes; systemic inflammatory response syndrome"},{"pid":"doi:10.11588/data/FHOCRZ","Title":"Raw data and analysis scripts for 'Design and application of an MR reference phantom for multicentre lung imaging trials'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Raw data and analysis scripts for 'Design and application of an MR reference phantom for multicentre lung imaging trials'' Description:'This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized.AbstractIntroduction:As there is an increasing number of multicentre lung imaging studies with MRI in patients, dedicated reference phantoms are required to allow for the assessment and comparison of image quality in multi-vendor and multi-centre environments. However, appropriate phantoms for this purpose are so far not available commercially. It was therefore the purpose of this project to design and evaluate a cost-effective and simple to use reference phantom which addresses the specific requirements for imaging the lungs with MRI.Methods:We designed and employed a cost-effective and simple to use reference phantom specifically for the demands of chest MRI, simulating 4 compartments (lung, blood, muscle and fat) which reflect the specific conditions in proton-MRI of the chest. Multiple phantom instances were produced and measured at 15 sites using a complete proton-MRI protocol designed for an in vivo COPD study at intervals over the course of the study. Measures of signal- and contrast-to-noise ratio, as well as structure and edge depiction were extracted from conventionally acquired images using software written for this purpose.Results:For the signal to noise ratio, low (short-term) intra-scanner variability was found with, 4.5% in the lung compartment, 4.0% for blood, 3.3% for muscle and 3.7% for fat. The inter-scanner variability was substantially higher, with 41%, 32% 27% and 32% for the same order of compartments. In addition, measures of structure and edge depiction were found to both vary significantly among several scanner types and among scanners of the same model which were equipped with different gradient systems.Conclusion:The described reference phantom detected substantial inter-scanner variability in a current multicentre proton MRI study of the lung. Accordingly, the use of an appropriate reference phantom is advised and the extent of variability in image quality should be considered when interpreting results of such imaging studies.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lung imaging; MR phantoms; multicentre trials+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Raw data and analysis scripts for 'Design and application of an MR reference phantom for multicentre lung imaging trials'' Description:'This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized.AbstractIntroduction:As there is an increasing number of multicentre lung imaging studies with MRI in patients, dedicated reference phantoms are required to allow for the assessment and comparison of image quality in multi-vendor and multi-centre environments. However, appropriate phantoms for this purpose are so far not available commercially. It was therefore the purpose of this project to design and evaluate a cost-effective and simple to use reference phantom which addresses the specific requirements for imaging the lungs with MRI.Methods:We designed and employed a cost-effective and simple to use reference phantom specifically for the demands of chest MRI, simulating 4 compartments (lung, blood, muscle and fat) which reflect the specific conditions in proton-MRI of the chest. Multiple phantom instances were produced and measured at 15 sites using a complete proton-MRI protocol designed for an in vivo COPD study at intervals over the course of the study. Measures of signal- and contrast-to-noise ratio, as well as structure and edge depiction were extracted from conventionally acquired images using software written for this purpose.Results:For the signal to noise ratio, low (short-term) intra-scanner variability was found with, 4.5% in the lung compartment, 4.0% for blood, 3.3% for muscle and 3.7% for fat. The inter-scanner variability was substantially higher, with 41%, 32% 27% and 32% for the same order of compartments. In addition, measures of structure and edge depiction were found to both vary significantly among several scanner types and among scanners of the same model which were equipped with different gradient systems.Conclusion:The described reference phantom detected substantial inter-scanner variability in a current multicentre proton MRI study of the lung. Accordingly, the use of an appropriate reference phantom is advised and the extent of variability in image quality should be considered when interpreting results of such imaging studies.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized.AbstractIntroduction:As there is an increasing number of multicentre lung imaging studies with MRI in patients, dedicated reference phantoms are required to allow for the assessment and comparison of image quality in multi-vendor and multi-centre environments. However, appropriate phantoms for this purpose are so far not available commercially. It was therefore the purpose of this project to design and evaluate a cost-effective and simple to use reference phantom which addresses the specific requirements for imaging the lungs with MRI.Methods:We designed and employed a cost-effective and simple to use reference phantom specifically for the demands of chest MRI, simulating 4 compartments (lung, blood, muscle and fat) which reflect the specific conditions in proton-MRI of the chest. Multiple phantom instances were produced and measured at 15 sites using a complete proton-MRI protocol designed for an in vivo COPD study at intervals over the course of the study. Measures of signal- and contrast-to-noise ratio, as well as structure and edge depiction were extracted from conventionally acquired images using software written for this purpose.Results:For the signal to noise ratio, low (short-term) intra-scanner variability was found with, 4.5% in the lung compartment, 4.0% for blood, 3.3% for muscle and 3.7% for fat. The inter-scanner variability was substantially higher, with 41%, 32% 27% and 32% for the same order of compartments. In addition, measures of structure and edge depiction were found to both vary significantly among several scanner types and among scanners of the same model which were equipped with different gradient systems.Conclusion:The described reference phantom detected substantial inter-scanner variability in a current multicentre proton MRI study of the lung. Accordingly, the use of an appropriate reference phantom is advised and the extent of variability in image quality should be considered when interpreting results of such imaging studies.","Subject":"Medicine, Health and Life Sciences","Keywords":"lung imaging; MR phantoms; multicentre trials"},{"pid":"doi:10.11588/data/FHOCRZ","Title":"Raw data and analysis scripts for 'Design and application of an MR reference phantom for multicentre lung imaging trials'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Raw data and analysis scripts for 'Design and application of an MR reference phantom for multicentre lung imaging trials'' Description:'This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized.AbstractIntroduction:As there is an increasing number of multicentre lung imaging studies with MRI in patients, dedicated reference phantoms are required to allow for the assessment and comparison of image quality in multi-vendor and multi-centre environments. However, appropriate phantoms for this purpose are so far not available commercially. It was therefore the purpose of this project to design and evaluate a cost-effective and simple to use reference phantom which addresses the specific requirements for imaging the lungs with MRI.Methods:We designed and employed a cost-effective and simple to use reference phantom specifically for the demands of chest MRI, simulating 4 compartments (lung, blood, muscle and fat) which reflect the specific conditions in proton-MRI of the chest. Multiple phantom instances were produced and measured at 15 sites using a complete proton-MRI protocol designed for an in vivo COPD study at intervals over the course of the study. Measures of signal- and contrast-to-noise ratio, as well as structure and edge depiction were extracted from conventionally acquired images using software written for this purpose.Results:For the signal to noise ratio, low (short-term) intra-scanner variability was found with, 4.5% in the lung compartment, 4.0% for blood, 3.3% for muscle and 3.7% for fat. The inter-scanner variability was substantially higher, with 41%, 32% 27% and 32% for the same order of compartments. In addition, measures of structure and edge depiction were found to both vary significantly among several scanner types and among scanners of the same model which were equipped with different gradient systems.Conclusion:The described reference phantom detected substantial inter-scanner variability in a current multicentre proton MRI study of the lung. Accordingly, the use of an appropriate reference phantom is advised and the extent of variability in image quality should be considered when interpreting results of such imaging studies.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lung imaging; MR phantoms; multicentre trials+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Raw data and analysis scripts for 'Design and application of an MR reference phantom for multicentre lung imaging trials'' Description:'This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized.AbstractIntroduction:As there is an increasing number of multicentre lung imaging studies with MRI in patients, dedicated reference phantoms are required to allow for the assessment and comparison of image quality in multi-vendor and multi-centre environments. However, appropriate phantoms for this purpose are so far not available commercially. It was therefore the purpose of this project to design and evaluate a cost-effective and simple to use reference phantom which addresses the specific requirements for imaging the lungs with MRI.Methods:We designed and employed a cost-effective and simple to use reference phantom specifically for the demands of chest MRI, simulating 4 compartments (lung, blood, muscle and fat) which reflect the specific conditions in proton-MRI of the chest. Multiple phantom instances were produced and measured at 15 sites using a complete proton-MRI protocol designed for an in vivo COPD study at intervals over the course of the study. Measures of signal- and contrast-to-noise ratio, as well as structure and edge depiction were extracted from conventionally acquired images using software written for this purpose.Results:For the signal to noise ratio, low (short-term) intra-scanner variability was found with, 4.5% in the lung compartment, 4.0% for blood, 3.3% for muscle and 3.7% for fat. The inter-scanner variability was substantially higher, with 41%, 32% 27% and 32% for the same order of compartments. In addition, measures of structure and edge depiction were found to both vary significantly among several scanner types and among scanners of the same model which were equipped with different gradient systems.Conclusion:The described reference phantom detected substantial inter-scanner variability in a current multicentre proton MRI study of the lung. Accordingly, the use of an appropriate reference phantom is advised and the extent of variability in image quality should be considered when interpreting results of such imaging studies.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized.AbstractIntroduction:As there is an increasing number of multicentre lung imaging studies with MRI in patients, dedicated reference phantoms are required to allow for the assessment and comparison of image quality in multi-vendor and multi-centre environments. However, appropriate phantoms for this purpose are so far not available commercially. It was therefore the purpose of this project to design and evaluate a cost-effective and simple to use reference phantom which addresses the specific requirements for imaging the lungs with MRI.Methods:We designed and employed a cost-effective and simple to use reference phantom specifically for the demands of chest MRI, simulating 4 compartments (lung, blood, muscle and fat) which reflect the specific conditions in proton-MRI of the chest. Multiple phantom instances were produced and measured at 15 sites using a complete proton-MRI protocol designed for an in vivo COPD study at intervals over the course of the study. Measures of signal- and contrast-to-noise ratio, as well as structure and edge depiction were extracted from conventionally acquired images using software written for this purpose.Results:For the signal to noise ratio, low (short-term) intra-scanner variability was found with, 4.5% in the lung compartment, 4.0% for blood, 3.3% for muscle and 3.7% for fat. The inter-scanner variability was substantially higher, with 41%, 32% 27% and 32% for the same order of compartments. In addition, measures of structure and edge depiction were found to both vary significantly among several scanner types and among scanners of the same model which were equipped with different gradient systems.Conclusion:The described reference phantom detected substantial inter-scanner variability in a current multicentre proton MRI study of the lung. Accordingly, the use of an appropriate reference phantom is advised and the extent of variability in image quality should be considered when interpreting results of such imaging studies.","Subject":"Medicine, Health and Life Sciences","Keywords":"lung imaging; MR phantoms; multicentre trials"},{"pid":"doi:10.11588/data/FSPQL4","Title":"The Abbott PanBio WHO emergency use listed, rapid, antigen-detecting point-of-care diagnostic test for SARS-CoV-2 - Evaluation of the accuracy and ease-of-use [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Abbott PanBio WHO emergency use listed, rapid, antigen-detecting point-of-care diagnostic test for SARS-CoV-2 - Evaluation of the accuracy and ease-of-use [Research Data]' Description:'This repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab was performed for Ag-RDT testing. Routine swabs were nasopharyngeal (NP) or combined NP/oropharyngeal (OP) whereas the study-exclusive swabs were NP. To evaluate performance, sensitivity and specificity were assessed overall and in predefined sub analyses accordingly to cycle-threshold values, days of symptoms, disease severity and study site. In addition, further data from the participants were collected during interviews.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Antigen-detecting; Covid-19; Diagnostics; SARS-CoV-2+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Abbott PanBio WHO emergency use listed, rapid, antigen-detecting point-of-care diagnostic test for SARS-CoV-2 - Evaluation of the accuracy and ease-of-use [Research Data]' Description:'This repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab was performed for Ag-RDT testing. Routine swabs were nasopharyngeal (NP) or combined NP/oropharyngeal (OP) whereas the study-exclusive swabs were NP. To evaluate performance, sensitivity and specificity were assessed overall and in predefined sub analyses accordingly to cycle-threshold values, days of symptoms, disease severity and study site. In addition, further data from the participants were collected during interviews.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab was performed for Ag-RDT testing. Routine swabs were nasopharyngeal (NP) or combined NP/oropharyngeal (OP) whereas the study-exclusive swabs were NP. To evaluate performance, sensitivity and specificity were assessed overall and in predefined sub analyses accordingly to cycle-threshold values, days of symptoms, disease severity and study site. In addition, further data from the participants were collected during interviews.","Subject":"Medicine, Health and Life Sciences","Keywords":"Antigen-detecting; Covid-19; Diagnostics; SARS-CoV-2"},{"pid":"doi:10.11588/data/GEEBLZ","Title":"Social and Cognitive Congruence [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Social and Cognitive Congruence [Data]' Description:'This dataset contains the R-Script of our Evaluation and the dataset on which our results are based.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Peer-Assisted Learning; Social and Cognitive Congruence+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Social and Cognitive Congruence [Data]' Description:'This dataset contains the R-Script of our Evaluation and the dataset on which our results are based.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the R-Script of our Evaluation and the dataset on which our results are based.","Subject":"Medicine, Health and Life Sciences","Keywords":"Peer-Assisted Learning; Social and Cognitive Congruence"},{"pid":"doi:10.11588/data/HJ6SVM","Title":"Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Collagen; KIMMDY; Mechanoracials; Molecular Dynamics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:'Chemistry; Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.","Subject":" Medicine, Health and Life Sciences","Keywords":"Collagen; KIMMDY; Mechanoracials; Molecular Dynamics"},{"pid":"doi:10.11588/data/ICSFUS","Title":"Multimodal ground truth datasets for abdominal medical image registration [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Multimodal ground truth datasets for abdominal medical image registration [data]' Description:'Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data, we present a method that allows the generation of annotated multimodal 4D datasets.We use a CycleGAN network architecture to generate multimodal synthetic data from the 4D extended cardiac–torso (XCAT) phantom and real patient data. Organ masks are provided by the XCAT phantom; therefore, the generated dataset can serve as ground truth for image segmentation and registration. Compared to real patient data, the synthetic data showed good agreement regarding the image voxel intensity distribution and the noise characteristics. The generated T1-weighted magnetic resonance imaging, computed tomography (CT), and cone beam CT images are inherently co-registered.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CycleGAN; image registration; image synthesis; liver; multimodal imaging+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Multimodal ground truth datasets for abdominal medical image registration [data]' Description:'Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data, we present a method that allows the generation of annotated multimodal 4D datasets.We use a CycleGAN network architecture to generate multimodal synthetic data from the 4D extended cardiac–torso (XCAT) phantom and real patient data. Organ masks are provided by the XCAT phantom; therefore, the generated dataset can serve as ground truth for image segmentation and registration. Compared to real patient data, the synthetic data showed good agreement regarding the image voxel intensity distribution and the noise characteristics. The generated T1-weighted magnetic resonance imaging, computed tomography (CT), and cone beam CT images are inherently co-registered.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data, we present a method that allows the generation of annotated multimodal 4D datasets.We use a CycleGAN network architecture to generate multimodal synthetic data from the 4D extended cardiac–torso (XCAT) phantom and real patient data. Organ masks are provided by the XCAT phantom; therefore, the generated dataset can serve as ground truth for image segmentation and registration. Compared to real patient data, the synthetic data showed good agreement regarding the image voxel intensity distribution and the noise characteristics. The generated T1-weighted magnetic resonance imaging, computed tomography (CT), and cone beam CT images are inherently co-registered.","Subject":"Medicine, Health and Life Sciences","Keywords":"CycleGAN; image registration; image synthesis; liver; multimodal imaging"},{"pid":"doi:10.11588/data/JM2H6I","Title":"A framework for assessing import costs of medical supplies and results for a tuberculosis program in Karakalpakstan, Uzbekistan [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A framework for assessing import costs of medical supplies and results for a tuberculosis program in Karakalpakstan, Uzbekistan [Research Data]' Description:'Data and code' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Central Asia; Cost Analysis; Freight Costs; Health program; Humanitarian Aid; Import Costs; Shipping Costs; Supply Chain; Transportation Costs; Tuberculosis; Uzbekistan+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A framework for assessing import costs of medical supplies and results for a tuberculosis program in Karakalpakstan, Uzbekistan [Research Data]' Description:'Data and code' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data and code","Subject":"Medicine, Health and Life Sciences","Keywords":"Central Asia; Cost Analysis; Freight Costs; Health program; Humanitarian Aid; Import Costs; Shipping Costs; Supply Chain; Transportation Costs; Tuberculosis; Uzbekistan"},{"pid":"doi:10.11588/data/JWLFFZ","Title":"Activity of AcD and nonAcD cells during high-frequency network oscillations [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Activity of AcD and nonAcD cells during high-frequency network oscillations [data]' Description:'Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the selective recruitment of hippocampal pyramidal cells into patterned network activity. During ripple oscillations in awake mice, spiking is much more likely in cells in which the axon originates from a basal dendrite rather than from the soma. High-resolution recordings in vitro and computer modeling indicate that these spikes are elicited by synaptic input to the axon-carrying dendrite and thus escape perisomatic inhibition. Pyramidal cells with somatic axon origin can be activated during ripple oscillations by blocking their somatic inhibition. The recruitment of neurons into active ensembles is thus determined by axonal morphological features.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Axon-carrying Dendrite Cell; Hippocampus; Information Processing; Mice; Perisomatic Inhibition; Pyramidal cells; Ripple Oscillations+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Activity of AcD and nonAcD cells during high-frequency network oscillations [data]' Description:'Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the selective recruitment of hippocampal pyramidal cells into patterned network activity. During ripple oscillations in awake mice, spiking is much more likely in cells in which the axon originates from a basal dendrite rather than from the soma. High-resolution recordings in vitro and computer modeling indicate that these spikes are elicited by synaptic input to the axon-carrying dendrite and thus escape perisomatic inhibition. Pyramidal cells with somatic axon origin can be activated during ripple oscillations by blocking their somatic inhibition. The recruitment of neurons into active ensembles is thus determined by axonal morphological features.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the selective recruitment of hippocampal pyramidal cells into patterned network activity. During ripple oscillations in awake mice, spiking is much more likely in cells in which the axon originates from a basal dendrite rather than from the soma. High-resolution recordings in vitro and computer modeling indicate that these spikes are elicited by synaptic input to the axon-carrying dendrite and thus escape perisomatic inhibition. Pyramidal cells with somatic axon origin can be activated during ripple oscillations by blocking their somatic inhibition. The recruitment of neurons into active ensembles is thus determined by axonal morphological features.","Subject":"Medicine, Health and Life Sciences","Keywords":"Axon-carrying Dendrite Cell; Hippocampus; Information Processing; Mice; Perisomatic Inhibition; Pyramidal cells; Ripple Oscillations"},{"pid":"doi:10.11588/data/KRPJ9A","Title":"Image-based screening for stress granule regulators","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Image-based screening for stress granule regulators' Description:'The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation of individual cells, referred as regions of interest (ROIs), and the detection and quantification of the stress granule (SG) response within those ROIs.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ImageJ macro, batch analysis, cell segmentation, SG detection and quantification+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Image-based screening for stress granule regulators' Description:'The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation of individual cells, referred as regions of interest (ROIs), and the detection and quantification of the stress granule (SG) response within those ROIs.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation of individual cells, referred as regions of interest (ROIs), and the detection and quantification of the stress granule (SG) response within those ROIs.","Subject":"Medicine, Health and Life Sciences","Keywords":"ImageJ macro, batch analysis, cell segmentation, SG detection and quantification"},{"pid":"doi:10.11588/data/KS5W0H","Title":"NLP in Diagnostic Texts from Nephropathology [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'NLP in Diagnostic Texts from Nephropathology [Research Data]' Description:'This data set contains all annotated topic word tables from the work 'NLP in Diagnostic Texts from Nephropathology', as well as all pre-processed and tf-idf-vectorized text files. The raw texts (i.e., descriptive and diagnostic sections) are explicitly not made available, since it cannot be ruled out here that it is possible to infer the patient or the person making the report. This is in accordance with our local ethics committee. Please note: This data set is not yet complete and will be completed soon.Please refer to chapter 3.1.2 of our paper to learn how to interpret the annotated topic word tables.The associated gitlab project http://gitlab.medma.uni-heidelberg.de/mlegnar/nlp-in-diagnostic-texts-from-nephropathology contains some examples of how the .pkl files can be opened and used with python.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {nephropathology; NLP; pathology reports; text analysis; text classification; topic modelling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'NLP in Diagnostic Texts from Nephropathology [Research Data]' Description:'This data set contains all annotated topic word tables from the work 'NLP in Diagnostic Texts from Nephropathology', as well as all pre-processed and tf-idf-vectorized text files. The raw texts (i.e., descriptive and diagnostic sections) are explicitly not made available, since it cannot be ruled out here that it is possible to infer the patient or the person making the report. This is in accordance with our local ethics committee. Please note: This data set is not yet complete and will be completed soon.Please refer to chapter 3.1.2 of our paper to learn how to interpret the annotated topic word tables.The associated gitlab project http://gitlab.medma.uni-heidelberg.de/mlegnar/nlp-in-diagnostic-texts-from-nephropathology contains some examples of how the .pkl files can be opened and used with python.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains all annotated topic word tables from the work 'NLP in Diagnostic Texts from Nephropathology', as well as all pre-processed and tf-idf-vectorized text files. The raw texts (i.e., descriptive and diagnostic sections) are explicitly not made available, since it cannot be ruled out here that it is possible to infer the patient or the person making the report. This is in accordance with our local ethics committee. Please note: This data set is not yet complete and will be completed soon.Please refer to chapter 3.1.2 of our paper to learn how to interpret the annotated topic word tables.The associated gitlab project http://gitlab.medma.uni-heidelberg.de/mlegnar/nlp-in-diagnostic-texts-from-nephropathology contains some examples of how the .pkl files can be opened and used with python.","Subject":"Medicine, Health and Life Sciences","Keywords":"nephropathology; NLP; pathology reports; text analysis; text classification; topic modelling"},{"pid":"doi:10.11588/data/L45TRX","Title":"Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]' Description:'Data accompanying the paper 'Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast' by Buchmuller and Herbst et al, 2019, Nat Communications. This contains raw NGS data for all genotyping analysis in the publication as well as the source code of the castR design software (v1.0).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CRISPR-assisted genome engineering; targeted nex-generation sequencing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]' Description:'Data accompanying the paper 'Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast' by Buchmuller and Herbst et al, 2019, Nat Communications. This contains raw NGS data for all genotyping analysis in the publication as well as the source code of the castR design software (v1.0).' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data accompanying the paper 'Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast' by Buchmuller and Herbst et al, 2019, Nat Communications. This contains raw NGS data for all genotyping analysis in the publication as well as the source code of the castR design software (v1.0).","Subject":"Medicine, Health and Life Sciences","Keywords":"CRISPR-assisted genome engineering; targeted nex-generation sequencing"},{"pid":"doi:10.11588/data/L5J7WO","Title":"3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging [data set]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging [data set]' Description:'Accompanying data for the manuscript '3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging'.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Imaging Flow Cytometry; Microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging [data set]' Description:'Accompanying data for the manuscript '3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging'.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Accompanying data for the manuscript '3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging'.","Subject":"Medicine, Health and Life Sciences","Keywords":"Imaging Flow Cytometry; Microfluidics"},{"pid":"doi:10.11588/data/M2TSIT","Title":"Neither Carrots nor Sticks? Challenges surrounding Data Sharing from the Perspective of Research Funding Agencies – A Qualitative Expert Interview Study [Interview Excerpts]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Neither Carrots nor Sticks? Challenges surrounding Data Sharing from the Perspective of Research Funding Agencies – A Qualitative Expert Interview Study [Interview Excerpts]' Description:'This dataset contains summaries from interviews with data sharing experts from internationa funding agencies on their organisation's data sharing policy.Data Sharing is widely recognised as crucial for accelerating scientific research and improving its quality. However, data sharing is still not a common practice. Funding agencies tend to facilitate the sharing of research data by both providing incentives and requiring data sharing as part of their policies and conditions for awarding grants. The goal of our article is to answer the following question: What challenges do international funding agencies see when it comes to their own efforts to foster and implement data sharing through their policies?We conducted a series of sixteen guideline-based expert interviews with representatives of leading international funding agencies. As contact persons for open science at their respective agencies, they offered their perspectives and experiences concerning their organisations’ data sharing policies. We performed a qualitative content analysis of the interviews and categorised the challenges perceived by funding agencies.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Data Management; Data Sharing; Data Sharing Policies; FAIR Data; Interview study; Qualitative content analysis; Research funders; Research funding agencies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Neither Carrots nor Sticks? Challenges surrounding Data Sharing from the Perspective of Research Funding Agencies – A Qualitative Expert Interview Study [Interview Excerpts]' Description:'This dataset contains summaries from interviews with data sharing experts from internationa funding agencies on their organisation's data sharing policy.Data Sharing is widely recognised as crucial for accelerating scientific research and improving its quality. However, data sharing is still not a common practice. Funding agencies tend to facilitate the sharing of research data by both providing incentives and requiring data sharing as part of their policies and conditions for awarding grants. The goal of our article is to answer the following question: What challenges do international funding agencies see when it comes to their own efforts to foster and implement data sharing through their policies?We conducted a series of sixteen guideline-based expert interviews with representatives of leading international funding agencies. As contact persons for open science at their respective agencies, they offered their perspectives and experiences concerning their organisations’ data sharing policies. We performed a qualitative content analysis of the interviews and categorised the challenges perceived by funding agencies.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains summaries from interviews with data sharing experts from internationa funding agencies on their organisation's data sharing policy.Data Sharing is widely recognised as crucial for accelerating scientific research and improving its quality. However, data sharing is still not a common practice. Funding agencies tend to facilitate the sharing of research data by both providing incentives and requiring data sharing as part of their policies and conditions for awarding grants. The goal of our article is to answer the following question: What challenges do international funding agencies see when it comes to their own efforts to foster and implement data sharing through their policies?We conducted a series of sixteen guideline-based expert interviews with representatives of leading international funding agencies. As contact persons for open science at their respective agencies, they offered their perspectives and experiences concerning their organisations’ data sharing policies. We performed a qualitative content analysis of the interviews and categorised the challenges perceived by funding agencies.","Subject":"Medicine, Health and Life Sciences","Keywords":"Data Management; Data Sharing; Data Sharing Policies; FAIR Data; Interview study; Qualitative content analysis; Research funders; Research funding agencies"},{"pid":"doi:10.11588/data/M5ZUPP","Title":"Translation initiation factor eIF3m controls ubiquitination-dependent early elongation pausing of ribosomes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Translation initiation factor eIF3m controls ubiquitination-dependent early elongation pausing of ribosomes' Description:'While translation initiation is extensively regulated, fewer mechanisms are known to control translation elongation. We discovered that prolonged stimulation of macrophages leads to suppression of protein synthesis at the level of translation elongation, through pausing of ribosomes on the first 20 codons of mRNA open reading frames. Early elongation pausing results from ubiquitination of the translation machinery including the translation initiation factor eIF3m. We demonstrate that eIF3m is required for efficient early elongation in unstimulated macrophages. The mechanism is of general nature, since eIF3m and ubiquitination control early elongation pausing also in cells outside of the immune system. This work uncovers early elongation as a critical phase during which polypeptide synthesis is actively controlled.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {macrophage activation; mass spectrometry; ubiquitinome analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Translation initiation factor eIF3m controls ubiquitination-dependent early elongation pausing of ribosomes' Description:'While translation initiation is extensively regulated, fewer mechanisms are known to control translation elongation. We discovered that prolonged stimulation of macrophages leads to suppression of protein synthesis at the level of translation elongation, through pausing of ribosomes on the first 20 codons of mRNA open reading frames. Early elongation pausing results from ubiquitination of the translation machinery including the translation initiation factor eIF3m. We demonstrate that eIF3m is required for efficient early elongation in unstimulated macrophages. The mechanism is of general nature, since eIF3m and ubiquitination control early elongation pausing also in cells outside of the immune system. This work uncovers early elongation as a critical phase during which polypeptide synthesis is actively controlled.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"While translation initiation is extensively regulated, fewer mechanisms are known to control translation elongation. We discovered that prolonged stimulation of macrophages leads to suppression of protein synthesis at the level of translation elongation, through pausing of ribosomes on the first 20 codons of mRNA open reading frames. Early elongation pausing results from ubiquitination of the translation machinery including the translation initiation factor eIF3m. We demonstrate that eIF3m is required for efficient early elongation in unstimulated macrophages. The mechanism is of general nature, since eIF3m and ubiquitination control early elongation pausing also in cells outside of the immune system. This work uncovers early elongation as a critical phase during which polypeptide synthesis is actively controlled.","Subject":"Medicine, Health and Life Sciences","Keywords":"macrophage activation; mass spectrometry; ubiquitinome analysis"},{"pid":"doi:10.11588/data/MYFILV","Title":"Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description:'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ACE; Childhood Experiences; PCE; Psychotherapy Research+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description:'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.","Subject":"Medicine, Health and Life Sciences","Keywords":"ACE; Childhood Experiences; PCE; Psychotherapy Research"},{"pid":"doi:10.11588/data/NULJJR","Title":"Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer [Dataset]' Description:'Twenty-six patients with newly diagnosed rectal carcinoma underwent 3T MRI of the pelvis including a T1 weighted dynamic contrast enhanced (DCE) protocol before treatment. For eighteen patients, mean values for Plasma Flow (PF), Plasma Volume (PV) and Mean Transit Time (MTT) were obtained for three perfusion models.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Dynamic contrast-enhanced MRI (DCE MRI); Pharmacokinetic modelling; Rectal cancer+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer [Dataset]' Description:'Twenty-six patients with newly diagnosed rectal carcinoma underwent 3T MRI of the pelvis including a T1 weighted dynamic contrast enhanced (DCE) protocol before treatment. For eighteen patients, mean values for Plasma Flow (PF), Plasma Volume (PV) and Mean Transit Time (MTT) were obtained for three perfusion models.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Twenty-six patients with newly diagnosed rectal carcinoma underwent 3T MRI of the pelvis including a T1 weighted dynamic contrast enhanced (DCE) protocol before treatment. For eighteen patients, mean values for Plasma Flow (PF), Plasma Volume (PV) and Mean Transit Time (MTT) were obtained for three perfusion models.","Subject":"Medicine, Health and Life Sciences","Keywords":"Dynamic contrast-enhanced MRI (DCE MRI); Pharmacokinetic modelling; Rectal cancer"},{"pid":"doi:10.11588/data/NWE2JJ","Title":"Histopathology of thymectomy specimens from the MGTX-trial","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Histopathology of thymectomy specimens from the MGTX-trial' Description:'Background:The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up:Work-up scheme for the specimens in the MGTX trial [1, 2]. Thymuses were sub-divided into regions that underwent predefined evaluation (e.g. complete work-up of the central A-region, partial work-up of other regions) Content:A xlsx-file with one table for patient data (“dataPatients” with age, gender etc.), one table with histomorphological data for the specimen regions (“dataAllRegions” with grading atrophy, grading overall fat etc.) and one table for the follicle morphology in the A region (“dataARegion” with n follicle with germinal centre etc.). References:1.Wolfe, G.I., et al., Randomized Trial of Thymectomy in Myasthenia Gravis. N Engl J Med, 2016. 375(6): p. 511-22. 2.Ströbel, P., et al., The ageing and myasthenic thymus: A morphometric study validating a standard procedure in the histological workup of thymic specimens. Journal of Neuroimmunology, 2008. 201–202: p. 64-73.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {MGTX+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Histopathology of thymectomy specimens from the MGTX-trial' Description:'Background:The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up:Work-up scheme for the specimens in the MGTX trial [1, 2]. Thymuses were sub-divided into regions that underwent predefined evaluation (e.g. complete work-up of the central A-region, partial work-up of other regions) Content:A xlsx-file with one table for patient data (“dataPatients” with age, gender etc.), one table with histomorphological data for the specimen regions (“dataAllRegions” with grading atrophy, grading overall fat etc.) and one table for the follicle morphology in the A region (“dataARegion” with n follicle with germinal centre etc.). References:1.Wolfe, G.I., et al., Randomized Trial of Thymectomy in Myasthenia Gravis. N Engl J Med, 2016. 375(6): p. 511-22. 2.Ströbel, P., et al., The ageing and myasthenic thymus: A morphometric study validating a standard procedure in the histological workup of thymic specimens. Journal of Neuroimmunology, 2008. 201–202: p. 64-73.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background:The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up:Work-up scheme for the specimens in the MGTX trial [1, 2]. Thymuses were sub-divided into regions that underwent predefined evaluation (e.g. complete work-up of the central A-region, partial work-up of other regions) Content:A xlsx-file with one table for patient data (“dataPatients” with age, gender etc.), one table with histomorphological data for the specimen regions (“dataAllRegions” with grading atrophy, grading overall fat etc.) and one table for the follicle morphology in the A region (“dataARegion” with n follicle with germinal centre etc.). References:1.Wolfe, G.I., et al., Randomized Trial of Thymectomy in Myasthenia Gravis. N Engl J Med, 2016. 375(6): p. 511-22. 2.Ströbel, P., et al., The ageing and myasthenic thymus: A morphometric study validating a standard procedure in the histological workup of thymic specimens. Journal of Neuroimmunology, 2008. 201–202: p. 64-73.","Subject":"Medicine, Health and Life Sciences","Keywords":"MGTX"},{"pid":"doi:10.11588/data/NWE2JJ","Title":"Histopathology of thymectomy specimens from the MGTX-trial","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Histopathology of thymectomy specimens from the MGTX-trial' Description:'Background:The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up:Work-up scheme for the specimens in the MGTX trial [1, 2]. Thymuses were sub-divided into regions that underwent predefined evaluation (e.g. complete work-up of the central A-region, partial work-up of other regions) Content:A xlsx-file with one table for patient data (“dataPatients” with age, gender etc.), one table with histomorphological data for the specimen regions (“dataAllRegions” with grading atrophy, grading overall fat etc.) and one table for the follicle morphology in the A region (“dataARegion” with n follicle with germinal centre etc.). References:1.Wolfe, G.I., et al., Randomized Trial of Thymectomy in Myasthenia Gravis. N Engl J Med, 2016. 375(6): p. 511-22. 2.Ströbel, P., et al., The ageing and myasthenic thymus: A morphometric study validating a standard procedure in the histological workup of thymic specimens. Journal of Neuroimmunology, 2008. 201–202: p. 64-73.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {MGTX+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Histopathology of thymectomy specimens from the MGTX-trial' Description:'Background:The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up:Work-up scheme for the specimens in the MGTX trial [1, 2]. Thymuses were sub-divided into regions that underwent predefined evaluation (e.g. complete work-up of the central A-region, partial work-up of other regions) Content:A xlsx-file with one table for patient data (“dataPatients” with age, gender etc.), one table with histomorphological data for the specimen regions (“dataAllRegions” with grading atrophy, grading overall fat etc.) and one table for the follicle morphology in the A region (“dataARegion” with n follicle with germinal centre etc.). References:1.Wolfe, G.I., et al., Randomized Trial of Thymectomy in Myasthenia Gravis. N Engl J Med, 2016. 375(6): p. 511-22. 2.Ströbel, P., et al., The ageing and myasthenic thymus: A morphometric study validating a standard procedure in the histological workup of thymic specimens. Journal of Neuroimmunology, 2008. 201–202: p. 64-73.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background:The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up:Work-up scheme for the specimens in the MGTX trial [1, 2]. Thymuses were sub-divided into regions that underwent predefined evaluation (e.g. complete work-up of the central A-region, partial work-up of other regions) Content:A xlsx-file with one table for patient data (“dataPatients” with age, gender etc.), one table with histomorphological data for the specimen regions (“dataAllRegions” with grading atrophy, grading overall fat etc.) and one table for the follicle morphology in the A region (“dataARegion” with n follicle with germinal centre etc.). References:1.Wolfe, G.I., et al., Randomized Trial of Thymectomy in Myasthenia Gravis. N Engl J Med, 2016. 375(6): p. 511-22. 2.Ströbel, P., et al., The ageing and myasthenic thymus: A morphometric study validating a standard procedure in the histological workup of thymic specimens. Journal of Neuroimmunology, 2008. 201–202: p. 64-73.","Subject":"Medicine, Health and Life Sciences","Keywords":"MGTX"},{"pid":"doi:10.11588/data/ORTPJN","Title":"Current knowledge on correlations between highly prevalent dental conditions and chronic diseases: an umbrella review [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Current knowledge on correlations between highly prevalent dental conditions and chronic diseases: an umbrella review [Dataset]' Description:'Introduction: There are existing studies investigating relationships between chronic systemic and dental conditions, but it remains unclear how such knowledge can be used in clinical practice. The present report provides an overview on existing systematic reviews, identifying and evaluating the most frequently reported dental-chronic disease correlations and common risk factors. Methods: A systematic review on existing systematic reviews published between 1995 and 2017 was conducted (umbrella review) and indexed into four databases. The focus was set on the three most prevalent dental conditions and ten chronic systemic diseases with the highest burden of disease in Germany. Two independent reviewers assessed all articles for eligibility, methodological quality using the AMSTAR criteria, and extracted data from the included studies. Results: 32 out of the initially identified 1,249 systematic reviews were included for qualitative synthesis. The dental conditions with most frequently observed correlations to chronic systemic diseases was periodontitis. The chronic systemic disease with most frequently observed correlations with a dental condition was diabetes mellitus type 2. Most dental-chronic disease correlations were found between periodontitis and diabetes mellitus type 2 and periodontitis and cardiovascular disease. Frequently reported common risk factors included smoking, age, sex and overweight. Using the AMSTAR criteria, 2 studies were assessed as low quality, 26 studies moderate and 4 studies high quality. Conclusion: The quality of included systematic reviews was heterogenous. The most frequently reported correlations were found for periodontitis with diabetes mellitus type 2 and for cardiovascular disease with diabetes mellitus type 2. Yet the strength of evidence for these and other disease correlations remains limited. The evidence to assess the causality of these disease correlations remains unclear. Future research should therefore focus on the causality of disease links in order to provide more decisive evidence with respect to the design of intersectoral care processes.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chronic disease; Comorbidity; Dental condition; Interdisciplinary care; Multimorbidity; Noncommunicable disease; Oral health; Systematic review; Umbrella review+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Current knowledge on correlations between highly prevalent dental conditions and chronic diseases: an umbrella review [Dataset]' Description:'Introduction: There are existing studies investigating relationships between chronic systemic and dental conditions, but it remains unclear how such knowledge can be used in clinical practice. The present report provides an overview on existing systematic reviews, identifying and evaluating the most frequently reported dental-chronic disease correlations and common risk factors. Methods: A systematic review on existing systematic reviews published between 1995 and 2017 was conducted (umbrella review) and indexed into four databases. The focus was set on the three most prevalent dental conditions and ten chronic systemic diseases with the highest burden of disease in Germany. Two independent reviewers assessed all articles for eligibility, methodological quality using the AMSTAR criteria, and extracted data from the included studies. Results: 32 out of the initially identified 1,249 systematic reviews were included for qualitative synthesis. The dental conditions with most frequently observed correlations to chronic systemic diseases was periodontitis. The chronic systemic disease with most frequently observed correlations with a dental condition was diabetes mellitus type 2. Most dental-chronic disease correlations were found between periodontitis and diabetes mellitus type 2 and periodontitis and cardiovascular disease. Frequently reported common risk factors included smoking, age, sex and overweight. Using the AMSTAR criteria, 2 studies were assessed as low quality, 26 studies moderate and 4 studies high quality. Conclusion: The quality of included systematic reviews was heterogenous. The most frequently reported correlations were found for periodontitis with diabetes mellitus type 2 and for cardiovascular disease with diabetes mellitus type 2. Yet the strength of evidence for these and other disease correlations remains limited. The evidence to assess the causality of these disease correlations remains unclear. Future research should therefore focus on the causality of disease links in order to provide more decisive evidence with respect to the design of intersectoral care processes.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Introduction: There are existing studies investigating relationships between chronic systemic and dental conditions, but it remains unclear how such knowledge can be used in clinical practice. The present report provides an overview on existing systematic reviews, identifying and evaluating the most frequently reported dental-chronic disease correlations and common risk factors. Methods: A systematic review on existing systematic reviews published between 1995 and 2017 was conducted (umbrella review) and indexed into four databases. The focus was set on the three most prevalent dental conditions and ten chronic systemic diseases with the highest burden of disease in Germany. Two independent reviewers assessed all articles for eligibility, methodological quality using the AMSTAR criteria, and extracted data from the included studies. Results: 32 out of the initially identified 1,249 systematic reviews were included for qualitative synthesis. The dental conditions with most frequently observed correlations to chronic systemic diseases was periodontitis. The chronic systemic disease with most frequently observed correlations with a dental condition was diabetes mellitus type 2. Most dental-chronic disease correlations were found between periodontitis and diabetes mellitus type 2 and periodontitis and cardiovascular disease. Frequently reported common risk factors included smoking, age, sex and overweight. Using the AMSTAR criteria, 2 studies were assessed as low quality, 26 studies moderate and 4 studies high quality. Conclusion: The quality of included systematic reviews was heterogenous. The most frequently reported correlations were found for periodontitis with diabetes mellitus type 2 and for cardiovascular disease with diabetes mellitus type 2. Yet the strength of evidence for these and other disease correlations remains limited. The evidence to assess the causality of these disease correlations remains unclear. Future research should therefore focus on the causality of disease links in order to provide more decisive evidence with respect to the design of intersectoral care processes.","Subject":"Medicine, Health and Life Sciences","Keywords":"Chronic disease; Comorbidity; Dental condition; Interdisciplinary care; Multimorbidity; Noncommunicable disease; Oral health; Systematic review; Umbrella review"},{"pid":"doi:10.11588/data/P9JEPG","Title":"Performance of Covid-19 antigen rapid diagnostic tests for self-testing compared with antigen testing by professionals and molecular tests: A systematic review and meta-analysis [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Performance of Covid-19 antigen rapid diagnostic tests for self-testing compared with antigen testing by professionals and molecular tests: A systematic review and meta-analysis [Research Data]' Description:'ObjectivesSelf-testing is an effective tool to bridge the testing gap for a number of infectious diseas-es; however, its performance using SARS-CoV-2 antigen-detection rapid diagnostic tests (Ag-RDTs) has not been systematically reviewed. We evaluated the accuracy of COVID-19 self-testing and/or self-sampling using Ag-RDTs to inform WHO guideline development.Methods:We searched multiple databases for articles evaluating the accuracy of COVID-19 self-testing or self-sampling through November 19th, 2021. Cohen’s kappa was estimated to as-sess concordance between self-testing/self-sampling and solely professional-use Ag-RDT results. Meta-analysis was performed to obtain pooled performance estimates compared to molecular testing. The QUADAS-2 and GRADE tools were used to evaluate quality and cer-tainty of evidence.Results:Of 12,946 publications, 19 were eligible; two reported on self-testing, while 17 studies as-sessed self-sampling only. Risk of bias was low (28.1%). Overall concordance with profes-sional-use Ag-RDTs (n=5) was high (kappa 0.92 [95% confidence interval (CI) 0.89 to 0.95]). Overall pooled sensitivity of Ag-RDT testing using self-testing/self-sampling was 72.0% (95% CI 62.4 to 80.0).Conclusion:COVID-19 self-testing/self-sampling exhibits reasonable performance and high concordance with professional-use Ag-RDTs. This suggest that self-sampling, at a minimum, can be offered as part of COVID-19 testing strategies, despite high heterogeneity among studies and the paucity of data.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ag-RDT; antigen testing; SARS-CoV-2; self testing; systematic review+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Performance of Covid-19 antigen rapid diagnostic tests for self-testing compared with antigen testing by professionals and molecular tests: A systematic review and meta-analysis [Research Data]' Description:'ObjectivesSelf-testing is an effective tool to bridge the testing gap for a number of infectious diseas-es; however, its performance using SARS-CoV-2 antigen-detection rapid diagnostic tests (Ag-RDTs) has not been systematically reviewed. We evaluated the accuracy of COVID-19 self-testing and/or self-sampling using Ag-RDTs to inform WHO guideline development.Methods:We searched multiple databases for articles evaluating the accuracy of COVID-19 self-testing or self-sampling through November 19th, 2021. Cohen’s kappa was estimated to as-sess concordance between self-testing/self-sampling and solely professional-use Ag-RDT results. Meta-analysis was performed to obtain pooled performance estimates compared to molecular testing. The QUADAS-2 and GRADE tools were used to evaluate quality and cer-tainty of evidence.Results:Of 12,946 publications, 19 were eligible; two reported on self-testing, while 17 studies as-sessed self-sampling only. Risk of bias was low (28.1%). Overall concordance with profes-sional-use Ag-RDTs (n=5) was high (kappa 0.92 [95% confidence interval (CI) 0.89 to 0.95]). Overall pooled sensitivity of Ag-RDT testing using self-testing/self-sampling was 72.0% (95% CI 62.4 to 80.0).Conclusion:COVID-19 self-testing/self-sampling exhibits reasonable performance and high concordance with professional-use Ag-RDTs. This suggest that self-sampling, at a minimum, can be offered as part of COVID-19 testing strategies, despite high heterogeneity among studies and the paucity of data.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ObjectivesSelf-testing is an effective tool to bridge the testing gap for a number of infectious diseas-es; however, its performance using SARS-CoV-2 antigen-detection rapid diagnostic tests (Ag-RDTs) has not been systematically reviewed. We evaluated the accuracy of COVID-19 self-testing and/or self-sampling using Ag-RDTs to inform WHO guideline development.Methods:We searched multiple databases for articles evaluating the accuracy of COVID-19 self-testing or self-sampling through November 19th, 2021. Cohen’s kappa was estimated to as-sess concordance between self-testing/self-sampling and solely professional-use Ag-RDT results. Meta-analysis was performed to obtain pooled performance estimates compared to molecular testing. The QUADAS-2 and GRADE tools were used to evaluate quality and cer-tainty of evidence.Results:Of 12,946 publications, 19 were eligible; two reported on self-testing, while 17 studies as-sessed self-sampling only. Risk of bias was low (28.1%). Overall concordance with profes-sional-use Ag-RDTs (n=5) was high (kappa 0.92 [95% confidence interval (CI) 0.89 to 0.95]). Overall pooled sensitivity of Ag-RDT testing using self-testing/self-sampling was 72.0% (95% CI 62.4 to 80.0).Conclusion:COVID-19 self-testing/self-sampling exhibits reasonable performance and high concordance with professional-use Ag-RDTs. This suggest that self-sampling, at a minimum, can be offered as part of COVID-19 testing strategies, despite high heterogeneity among studies and the paucity of data.","Subject":"Medicine, Health and Life Sciences","Keywords":"Ag-RDT; antigen testing; SARS-CoV-2; self testing; systematic review"},{"pid":"doi:10.11588/data/PJCNTN","Title":"Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany [Research Data]' Description:'This is the research data of the publication 'Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany.' The research data includes the questionnaire, the data set used, and a description of the data preparation.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {clinical data; consent; data access; data sharing; health data; international data sharing; patient perspective; private sector; research benefit and control of data; secondary use+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany [Research Data]' Description:'This is the research data of the publication 'Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany.' The research data includes the questionnaire, the data set used, and a description of the data preparation.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the research data of the publication 'Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany.' The research data includes the questionnaire, the data set used, and a description of the data preparation.","Subject":"Medicine, Health and Life Sciences","Keywords":"clinical data; consent; data access; data sharing; health data; international data sharing; patient perspective; private sector; research benefit and control of data; secondary use"},{"pid":"doi:10.11588/data/PLRQCZ","Title":"User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]' Description:'This data set supports the findings of the FujiLAM qualitative study published in PLOS Global Public Health (Titel:'User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia').The repository contains our de-identified data extracts of our study transcripts after the initial coding step. The analysis memos describe the early phase of analysis after completing the coding process and creating data extracts.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Tuberculosis; Point of Care; Urine LAM; Lipoarabinomannan; FujiLAM; Malawi; Zambia; Qualitative; User Preferences+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]' Description:'This data set supports the findings of the FujiLAM qualitative study published in PLOS Global Public Health (Titel:'User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia').The repository contains our de-identified data extracts of our study transcripts after the initial coding step. The analysis memos describe the early phase of analysis after completing the coding process and creating data extracts.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set supports the findings of the FujiLAM qualitative study published in PLOS Global Public Health (Titel:'User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia').The repository contains our de-identified data extracts of our study transcripts after the initial coding step. The analysis memos describe the early phase of analysis after completing the coding process and creating data extracts.","Subject":"Medicine, Health and Life Sciences","Keywords":"Tuberculosis; Point of Care; Urine LAM; Lipoarabinomannan; FujiLAM; Malawi; Zambia; Qualitative; User Preferences"},{"pid":"doi:10.11588/data/QAHWSF","Title":"Synthetic renal ASL MRI [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Synthetic renal ASL MRI [data]' Description:'Synthetic renal ASL data sets simulating in-vivo acquisitions were generated using body models from the XCAT phantom, the general kinetic model and literature values for tissue properties. Sequence and ASL parameters were set in accordance with the current renal ASL consensus. Five PASL and five PCASL data sets with healthy perfusion and one PCASL data set with abnormal perfusion are available.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ASL, Perfusion, Kidney+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Synthetic renal ASL MRI [data]' Description:'Synthetic renal ASL data sets simulating in-vivo acquisitions were generated using body models from the XCAT phantom, the general kinetic model and literature values for tissue properties. Sequence and ASL parameters were set in accordance with the current renal ASL consensus. Five PASL and five PCASL data sets with healthy perfusion and one PCASL data set with abnormal perfusion are available.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Synthetic renal ASL data sets simulating in-vivo acquisitions were generated using body models from the XCAT phantom, the general kinetic model and literature values for tissue properties. Sequence and ASL parameters were set in accordance with the current renal ASL consensus. Five PASL and five PCASL data sets with healthy perfusion and one PCASL data set with abnormal perfusion are available.","Subject":"Medicine, Health and Life Sciences","Keywords":"ASL, Perfusion, Kidney"},{"pid":"doi:10.11588/data/RDISCE","Title":"Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]' Description:'The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTCF; extended ladder model; zinc finger+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]' Description:'The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.","Subject":" Medicine, Health and Life Sciences","Keywords":"CTCF; extended ladder model; zinc finger"},{"pid":"doi:10.11588/data/RGM2AW","Title":"Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]' Description:'This repository contains data, figures and tables created for the paper 'Mapping physical access to healthcare for older adults in sub-Saharan Africa: A cross-sectional analysis with implications for the COVID-19 response', which is currently under review and available as preprint on medRxiv.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19 Access healthcare OpenStreetMap AccessMod+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]' Description:'This repository contains data, figures and tables created for the paper 'Mapping physical access to healthcare for older adults in sub-Saharan Africa: A cross-sectional analysis with implications for the COVID-19 response', which is currently under review and available as preprint on medRxiv.' Subject:'Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This repository contains data, figures and tables created for the paper 'Mapping physical access to healthcare for older adults in sub-Saharan Africa: A cross-sectional analysis with implications for the COVID-19 response', which is currently under review and available as preprint on medRxiv.","Subject":" Medicine, Health and Life Sciences","Keywords":"COVID-19 Access healthcare OpenStreetMap AccessMod"},{"pid":"doi:10.11588/data/RR5BMF","Title":"Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]' Description:'43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra resulting in 44 measurements.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Automated quality assurance; MRI; Multicenter study; Phantom measurement+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]' Description:'43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra resulting in 44 measurements.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra resulting in 44 measurements.","Subject":"Medicine, Health and Life Sciences","Keywords":"Automated quality assurance; MRI; Multicenter study; Phantom measurement"},{"pid":"doi:10.11588/data/SYVQMM","Title":"Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality [Research Data]' Description:'These data accompany the manuscript 'Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality'.Abstract: Loneliness and social isolation have become increasing concerns during COVID-19 lockdown through neuroendocrine stress-reactions, physical and mental health problems. We investigated living situation, relationship status and quality as potential moderators for trait and state loneliness and salivary cortisol levels (hormonal stress-responses) in healthy adults during the first lockdown in Germany. N = 1242 participants (mean age = 36.32, 78% female) filled out an online questionnaire on demographics, trait loneliness and relationship quality. Next, N = 247 (mean age = 32.6, 70% female) completed ecological momentary assessment (EMA), collecting twelve saliva samples on two days and simultaneously reporting their momentary loneliness levels. Divorced/widowed showed highest trait loneliness, followed by singles and partnerships. The latter displayed lower momentary loneliness and cortisol levels compared to singles. Relationship satisfaction significantly reduced loneliness levels in participants with a partner and those who were living apart from their partner reported loneliness levels similar to singles living alone. Living alone was associated with higher loneliness levels. Hierarchical linear models revealed a significant cross-level interaction between relationship status and momentary loneliness in predicting cortisol. The results imply that widowhood, being single, living alone and low relationship quality represent risk factors for loneliness and having a partner buffers neuroendocrine stress responses during lockdown.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cortisol; COVID-19; ecological momentary assessment; living situation; loneliness; romantic relationships+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality [Research Data]' Description:'These data accompany the manuscript 'Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality'.Abstract: Loneliness and social isolation have become increasing concerns during COVID-19 lockdown through neuroendocrine stress-reactions, physical and mental health problems. We investigated living situation, relationship status and quality as potential moderators for trait and state loneliness and salivary cortisol levels (hormonal stress-responses) in healthy adults during the first lockdown in Germany. N = 1242 participants (mean age = 36.32, 78% female) filled out an online questionnaire on demographics, trait loneliness and relationship quality. Next, N = 247 (mean age = 32.6, 70% female) completed ecological momentary assessment (EMA), collecting twelve saliva samples on two days and simultaneously reporting their momentary loneliness levels. Divorced/widowed showed highest trait loneliness, followed by singles and partnerships. The latter displayed lower momentary loneliness and cortisol levels compared to singles. Relationship satisfaction significantly reduced loneliness levels in participants with a partner and those who were living apart from their partner reported loneliness levels similar to singles living alone. Living alone was associated with higher loneliness levels. Hierarchical linear models revealed a significant cross-level interaction between relationship status and momentary loneliness in predicting cortisol. The results imply that widowhood, being single, living alone and low relationship quality represent risk factors for loneliness and having a partner buffers neuroendocrine stress responses during lockdown.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These data accompany the manuscript 'Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality'.Abstract: Loneliness and social isolation have become increasing concerns during COVID-19 lockdown through neuroendocrine stress-reactions, physical and mental health problems. We investigated living situation, relationship status and quality as potential moderators for trait and state loneliness and salivary cortisol levels (hormonal stress-responses) in healthy adults during the first lockdown in Germany. N = 1242 participants (mean age = 36.32, 78% female) filled out an online questionnaire on demographics, trait loneliness and relationship quality. Next, N = 247 (mean age = 32.6, 70% female) completed ecological momentary assessment (EMA), collecting twelve saliva samples on two days and simultaneously reporting their momentary loneliness levels. Divorced/widowed showed highest trait loneliness, followed by singles and partnerships. The latter displayed lower momentary loneliness and cortisol levels compared to singles. Relationship satisfaction significantly reduced loneliness levels in participants with a partner and those who were living apart from their partner reported loneliness levels similar to singles living alone. Living alone was associated with higher loneliness levels. Hierarchical linear models revealed a significant cross-level interaction between relationship status and momentary loneliness in predicting cortisol. The results imply that widowhood, being single, living alone and low relationship quality represent risk factors for loneliness and having a partner buffers neuroendocrine stress responses during lockdown.","Subject":"Medicine, Health and Life Sciences","Keywords":"cortisol; COVID-19; ecological momentary assessment; living situation; loneliness; romantic relationships"},{"pid":"doi:10.11588/data/TT4VM3","Title":"Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]' Description:'The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombination patterns in the study population. By contrast, a maximization of genetic diversity in the reference panel has been recently proposed. We investigate here a novel strategy to select individuals for sequencing that relies on the characterization of the ancestral kernel of the study population. The simulated study scenarios consisted of several combinations of subpopulations from HapMap. HapMap individuals who did not belong to the study population constituted an external reference panel which was complemented with the sequences of study individuals selected according to different strategies. In addition to a random choice, individuals with the largest statistical depth according to the first genetic principal components were selected. In all simulated scenarios the integration of sequences from own‐study individuals increased imputation accuracy. The selection of individuals based on the statistical depth resulted in the highest imputation accuracy for European and Asian study scenarios, whereas random selection performed best for an African‐study scenario. Present findings indicate that there is no universal ‘best strategy’ to select individuals for sequencing. We propose to use the methodology described in the manuscript to assess the advantage of focusing on the ancestral kernel under own study characteristics (study size, genetic diversity, availability and properties of external reference panels, frequency of imputed variants…).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {genotype imputation; HapMap; reference panel; sequencing; statistical depth+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]' Description:'The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombination patterns in the study population. By contrast, a maximization of genetic diversity in the reference panel has been recently proposed. We investigate here a novel strategy to select individuals for sequencing that relies on the characterization of the ancestral kernel of the study population. The simulated study scenarios consisted of several combinations of subpopulations from HapMap. HapMap individuals who did not belong to the study population constituted an external reference panel which was complemented with the sequences of study individuals selected according to different strategies. In addition to a random choice, individuals with the largest statistical depth according to the first genetic principal components were selected. In all simulated scenarios the integration of sequences from own‐study individuals increased imputation accuracy. The selection of individuals based on the statistical depth resulted in the highest imputation accuracy for European and Asian study scenarios, whereas random selection performed best for an African‐study scenario. Present findings indicate that there is no universal ‘best strategy’ to select individuals for sequencing. We propose to use the methodology described in the manuscript to assess the advantage of focusing on the ancestral kernel under own study characteristics (study size, genetic diversity, availability and properties of external reference panels, frequency of imputed variants…).' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombination patterns in the study population. By contrast, a maximization of genetic diversity in the reference panel has been recently proposed. We investigate here a novel strategy to select individuals for sequencing that relies on the characterization of the ancestral kernel of the study population. The simulated study scenarios consisted of several combinations of subpopulations from HapMap. HapMap individuals who did not belong to the study population constituted an external reference panel which was complemented with the sequences of study individuals selected according to different strategies. In addition to a random choice, individuals with the largest statistical depth according to the first genetic principal components were selected. In all simulated scenarios the integration of sequences from own‐study individuals increased imputation accuracy. The selection of individuals based on the statistical depth resulted in the highest imputation accuracy for European and Asian study scenarios, whereas random selection performed best for an African‐study scenario. Present findings indicate that there is no universal ‘best strategy’ to select individuals for sequencing. We propose to use the methodology described in the manuscript to assess the advantage of focusing on the ancestral kernel under own study characteristics (study size, genetic diversity, availability and properties of external reference panels, frequency of imputed variants…).","Subject":"Medicine, Health and Life Sciences","Keywords":"genotype imputation; HapMap; reference panel; sequencing; statistical depth"},{"pid":"doi:10.11588/data/TT4VM3","Title":"Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]' Description:'The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombination patterns in the study population. By contrast, a maximization of genetic diversity in the reference panel has been recently proposed. We investigate here a novel strategy to select individuals for sequencing that relies on the characterization of the ancestral kernel of the study population. The simulated study scenarios consisted of several combinations of subpopulations from HapMap. HapMap individuals who did not belong to the study population constituted an external reference panel which was complemented with the sequences of study individuals selected according to different strategies. In addition to a random choice, individuals with the largest statistical depth according to the first genetic principal components were selected. In all simulated scenarios the integration of sequences from own‐study individuals increased imputation accuracy. The selection of individuals based on the statistical depth resulted in the highest imputation accuracy for European and Asian study scenarios, whereas random selection performed best for an African‐study scenario. Present findings indicate that there is no universal ‘best strategy’ to select individuals for sequencing. We propose to use the methodology described in the manuscript to assess the advantage of focusing on the ancestral kernel under own study characteristics (study size, genetic diversity, availability and properties of external reference panels, frequency of imputed variants…).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {genotype imputation; HapMap; reference panel; sequencing; statistical depth+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]' Description:'The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombination patterns in the study population. By contrast, a maximization of genetic diversity in the reference panel has been recently proposed. We investigate here a novel strategy to select individuals for sequencing that relies on the characterization of the ancestral kernel of the study population. The simulated study scenarios consisted of several combinations of subpopulations from HapMap. HapMap individuals who did not belong to the study population constituted an external reference panel which was complemented with the sequences of study individuals selected according to different strategies. In addition to a random choice, individuals with the largest statistical depth according to the first genetic principal components were selected. In all simulated scenarios the integration of sequences from own‐study individuals increased imputation accuracy. The selection of individuals based on the statistical depth resulted in the highest imputation accuracy for European and Asian study scenarios, whereas random selection performed best for an African‐study scenario. Present findings indicate that there is no universal ‘best strategy’ to select individuals for sequencing. We propose to use the methodology described in the manuscript to assess the advantage of focusing on the ancestral kernel under own study characteristics (study size, genetic diversity, availability and properties of external reference panels, frequency of imputed variants…).' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombination patterns in the study population. By contrast, a maximization of genetic diversity in the reference panel has been recently proposed. We investigate here a novel strategy to select individuals for sequencing that relies on the characterization of the ancestral kernel of the study population. The simulated study scenarios consisted of several combinations of subpopulations from HapMap. HapMap individuals who did not belong to the study population constituted an external reference panel which was complemented with the sequences of study individuals selected according to different strategies. In addition to a random choice, individuals with the largest statistical depth according to the first genetic principal components were selected. In all simulated scenarios the integration of sequences from own‐study individuals increased imputation accuracy. The selection of individuals based on the statistical depth resulted in the highest imputation accuracy for European and Asian study scenarios, whereas random selection performed best for an African‐study scenario. Present findings indicate that there is no universal ‘best strategy’ to select individuals for sequencing. We propose to use the methodology described in the manuscript to assess the advantage of focusing on the ancestral kernel under own study characteristics (study size, genetic diversity, availability and properties of external reference panels, frequency of imputed variants…).","Subject":"Medicine, Health and Life Sciences","Keywords":"genotype imputation; HapMap; reference panel; sequencing; statistical depth"},{"pid":"doi:10.11588/data/W63LJJ","Title":"Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients [Analysis]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients [Analysis]' Description:'This dataset contains the code for the analysis in R which was used to calculate the results for the study 'Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients'.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Adverse and Protective Childhood Memories; Anxiety Disorders; OPD-2; Psychotherapy Reasearch+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients [Analysis]' Description:'This dataset contains the code for the analysis in R which was used to calculate the results for the study 'Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients'.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the code for the analysis in R which was used to calculate the results for the study 'Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients'.","Subject":"Medicine, Health and Life Sciences","Keywords":"Adverse and Protective Childhood Memories; Anxiety Disorders; OPD-2; Psychotherapy Reasearch"},{"pid":"doi:10.11588/data/X9UEHB","Title":"Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]' Description:'Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study and reference populations. Here we develop a novel approach for genotype imputation in low-recombination regions that relies on the coalescent and permits to explicitly account for population demographic factors.To test the new method, study and reference haplotypes were simulated and gene trees were inferred under the basic coalescent and also considering population growth and structure. The reference haplotypes that first coalesced with study haplotypes were used as templates for genotype imputation. Computer simulations were complemented with the analysis of real data. Genotype concordance rates were used to compare the accuracies of coalescent-based and standard (IMPUTE2) imputation.ResultsSimulations revealed that, in LD-blocks, imputation accuracy relying on the basic coalescent was higher and less variable than with IMPUTE2. Explicit consideration of population growth and structure, even if present, did not practically improve accuracy. The advantage of coalescent-based over standard imputation increased with the minor allele frequency and it decreased with population stratification. Results based on real data indicated that, even in low-recombination regions, further research is needed to incorporate recombination in coalescence inference, in particular for studies with genetically diverse and admixed individuals.ConclusionsTo exploit the full potential of coalescent-based methods for the imputation of missing genotypes in genetic studies, further methodological research is needed to reduce computer time, to take into account recombination, and to implement these methods in user-friendly computer programs. Here we provide reproducible code which takes advantage of publicly available software to facilitate further developments in the field.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Coalescent theory; Genotype imputation; Imputation accuracy; Linkage disequilibrium; Population growth; Population structure+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]' Description:'Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study and reference populations. Here we develop a novel approach for genotype imputation in low-recombination regions that relies on the coalescent and permits to explicitly account for population demographic factors.To test the new method, study and reference haplotypes were simulated and gene trees were inferred under the basic coalescent and also considering population growth and structure. The reference haplotypes that first coalesced with study haplotypes were used as templates for genotype imputation. Computer simulations were complemented with the analysis of real data. Genotype concordance rates were used to compare the accuracies of coalescent-based and standard (IMPUTE2) imputation.ResultsSimulations revealed that, in LD-blocks, imputation accuracy relying on the basic coalescent was higher and less variable than with IMPUTE2. Explicit consideration of population growth and structure, even if present, did not practically improve accuracy. The advantage of coalescent-based over standard imputation increased with the minor allele frequency and it decreased with population stratification. Results based on real data indicated that, even in low-recombination regions, further research is needed to incorporate recombination in coalescence inference, in particular for studies with genetically diverse and admixed individuals.ConclusionsTo exploit the full potential of coalescent-based methods for the imputation of missing genotypes in genetic studies, further methodological research is needed to reduce computer time, to take into account recombination, and to implement these methods in user-friendly computer programs. Here we provide reproducible code which takes advantage of publicly available software to facilitate further developments in the field.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study and reference populations. Here we develop a novel approach for genotype imputation in low-recombination regions that relies on the coalescent and permits to explicitly account for population demographic factors.To test the new method, study and reference haplotypes were simulated and gene trees were inferred under the basic coalescent and also considering population growth and structure. The reference haplotypes that first coalesced with study haplotypes were used as templates for genotype imputation. Computer simulations were complemented with the analysis of real data. Genotype concordance rates were used to compare the accuracies of coalescent-based and standard (IMPUTE2) imputation.ResultsSimulations revealed that, in LD-blocks, imputation accuracy relying on the basic coalescent was higher and less variable than with IMPUTE2. Explicit consideration of population growth and structure, even if present, did not practically improve accuracy. The advantage of coalescent-based over standard imputation increased with the minor allele frequency and it decreased with population stratification. Results based on real data indicated that, even in low-recombination regions, further research is needed to incorporate recombination in coalescence inference, in particular for studies with genetically diverse and admixed individuals.ConclusionsTo exploit the full potential of coalescent-based methods for the imputation of missing genotypes in genetic studies, further methodological research is needed to reduce computer time, to take into account recombination, and to implement these methods in user-friendly computer programs. Here we provide reproducible code which takes advantage of publicly available software to facilitate further developments in the field.","Subject":"Medicine, Health and Life Sciences","Keywords":"Coalescent theory; Genotype imputation; Imputation accuracy; Linkage disequilibrium; Population growth; Population structure"},{"pid":"doi:10.11588/data/X9UEHB","Title":"Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]' Description:'Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study and reference populations. Here we develop a novel approach for genotype imputation in low-recombination regions that relies on the coalescent and permits to explicitly account for population demographic factors.To test the new method, study and reference haplotypes were simulated and gene trees were inferred under the basic coalescent and also considering population growth and structure. The reference haplotypes that first coalesced with study haplotypes were used as templates for genotype imputation. Computer simulations were complemented with the analysis of real data. Genotype concordance rates were used to compare the accuracies of coalescent-based and standard (IMPUTE2) imputation.ResultsSimulations revealed that, in LD-blocks, imputation accuracy relying on the basic coalescent was higher and less variable than with IMPUTE2. Explicit consideration of population growth and structure, even if present, did not practically improve accuracy. The advantage of coalescent-based over standard imputation increased with the minor allele frequency and it decreased with population stratification. Results based on real data indicated that, even in low-recombination regions, further research is needed to incorporate recombination in coalescence inference, in particular for studies with genetically diverse and admixed individuals.ConclusionsTo exploit the full potential of coalescent-based methods for the imputation of missing genotypes in genetic studies, further methodological research is needed to reduce computer time, to take into account recombination, and to implement these methods in user-friendly computer programs. Here we provide reproducible code which takes advantage of publicly available software to facilitate further developments in the field.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Coalescent theory; Genotype imputation; Imputation accuracy; Linkage disequilibrium; Population growth; Population structure+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]' Description:'Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study and reference populations. Here we develop a novel approach for genotype imputation in low-recombination regions that relies on the coalescent and permits to explicitly account for population demographic factors.To test the new method, study and reference haplotypes were simulated and gene trees were inferred under the basic coalescent and also considering population growth and structure. The reference haplotypes that first coalesced with study haplotypes were used as templates for genotype imputation. Computer simulations were complemented with the analysis of real data. Genotype concordance rates were used to compare the accuracies of coalescent-based and standard (IMPUTE2) imputation.ResultsSimulations revealed that, in LD-blocks, imputation accuracy relying on the basic coalescent was higher and less variable than with IMPUTE2. Explicit consideration of population growth and structure, even if present, did not practically improve accuracy. The advantage of coalescent-based over standard imputation increased with the minor allele frequency and it decreased with population stratification. Results based on real data indicated that, even in low-recombination regions, further research is needed to incorporate recombination in coalescence inference, in particular for studies with genetically diverse and admixed individuals.ConclusionsTo exploit the full potential of coalescent-based methods for the imputation of missing genotypes in genetic studies, further methodological research is needed to reduce computer time, to take into account recombination, and to implement these methods in user-friendly computer programs. Here we provide reproducible code which takes advantage of publicly available software to facilitate further developments in the field.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study and reference populations. Here we develop a novel approach for genotype imputation in low-recombination regions that relies on the coalescent and permits to explicitly account for population demographic factors.To test the new method, study and reference haplotypes were simulated and gene trees were inferred under the basic coalescent and also considering population growth and structure. The reference haplotypes that first coalesced with study haplotypes were used as templates for genotype imputation. Computer simulations were complemented with the analysis of real data. Genotype concordance rates were used to compare the accuracies of coalescent-based and standard (IMPUTE2) imputation.ResultsSimulations revealed that, in LD-blocks, imputation accuracy relying on the basic coalescent was higher and less variable than with IMPUTE2. Explicit consideration of population growth and structure, even if present, did not practically improve accuracy. The advantage of coalescent-based over standard imputation increased with the minor allele frequency and it decreased with population stratification. Results based on real data indicated that, even in low-recombination regions, further research is needed to incorporate recombination in coalescence inference, in particular for studies with genetically diverse and admixed individuals.ConclusionsTo exploit the full potential of coalescent-based methods for the imputation of missing genotypes in genetic studies, further methodological research is needed to reduce computer time, to take into account recombination, and to implement these methods in user-friendly computer programs. Here we provide reproducible code which takes advantage of publicly available software to facilitate further developments in the field.","Subject":"Medicine, Health and Life Sciences","Keywords":"Coalescent theory; Genotype imputation; Imputation accuracy; Linkage disequilibrium; Population growth; Population structure"},{"pid":"doi:10.11588/data/Y8UEOY","Title":"Auditory cortex activity related to perceptual awareness versus masking of tone sequences [research data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Auditory cortex activity related to perceptual awareness versus masking of tone sequences [research data]' Description:'ABSTRACT: Sequences of repeating tones can be masked by other tones of different frequency. When these tone sequences are perceived, nevertheless, a prominent neural response in the auditory cortex is evoked by each tone of the sequence. When the targets are detected based on their isochrony, participants know that they are listening to the target once they detected it. To explore if the neural activity is more closely related to this detection task or to perceptual awareness, this magnetoencephalography (MEG) study used targets that could only be identified with cues provided after or before the masked target. In experiment 1, multiple mono-tone streams with jittered inter-stimulus interval were used, and the tone frequency of the target was indicated by a cue. Results showed no differential auditory cortex activity between hit and miss trials with post-stimulus cues. A late negative response for hit trials was only observed for pre-stimulus cues, suggesting a task-related component. Since experiment 1 provided no evidence for a link of a difference response with tone awareness, experiment 2 was planned to probe if detection of tone streams was linked to a difference response in auditory cortex. Random-tone sequences were presented in the presence of a multi-tone masker, and the sequence was repeated without masker thereafter. Results showed a prominent difference wave for hit compared to miss trials in experiment 2 evoked by targets in the presence of the masker. These results suggest that perceptual awareness of tone streams is linked to neural activity in auditory cortex.COMMENT: The data set comprises the single-subject source waveforms derived with dipole source analysis. The ascii files were written with BESA (.swf = source waveform file). The matlab code reads in the data for further analysis and to calculate the grand average source waveforms shown in the paper. The .html files represent the output of the statistical analysis of the average amplitudes in the source waveforms (SAS).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {attention; auditory scene analysis; conscious perception; informational masking; magnetoencephalography; perceptual awareness+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Auditory cortex activity related to perceptual awareness versus masking of tone sequences [research data]' Description:'ABSTRACT: Sequences of repeating tones can be masked by other tones of different frequency. When these tone sequences are perceived, nevertheless, a prominent neural response in the auditory cortex is evoked by each tone of the sequence. When the targets are detected based on their isochrony, participants know that they are listening to the target once they detected it. To explore if the neural activity is more closely related to this detection task or to perceptual awareness, this magnetoencephalography (MEG) study used targets that could only be identified with cues provided after or before the masked target. In experiment 1, multiple mono-tone streams with jittered inter-stimulus interval were used, and the tone frequency of the target was indicated by a cue. Results showed no differential auditory cortex activity between hit and miss trials with post-stimulus cues. A late negative response for hit trials was only observed for pre-stimulus cues, suggesting a task-related component. Since experiment 1 provided no evidence for a link of a difference response with tone awareness, experiment 2 was planned to probe if detection of tone streams was linked to a difference response in auditory cortex. Random-tone sequences were presented in the presence of a multi-tone masker, and the sequence was repeated without masker thereafter. Results showed a prominent difference wave for hit compared to miss trials in experiment 2 evoked by targets in the presence of the masker. These results suggest that perceptual awareness of tone streams is linked to neural activity in auditory cortex.COMMENT: The data set comprises the single-subject source waveforms derived with dipole source analysis. The ascii files were written with BESA (.swf = source waveform file). The matlab code reads in the data for further analysis and to calculate the grand average source waveforms shown in the paper. The .html files represent the output of the statistical analysis of the average amplitudes in the source waveforms (SAS).' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ABSTRACT: Sequences of repeating tones can be masked by other tones of different frequency. When these tone sequences are perceived, nevertheless, a prominent neural response in the auditory cortex is evoked by each tone of the sequence. When the targets are detected based on their isochrony, participants know that they are listening to the target once they detected it. To explore if the neural activity is more closely related to this detection task or to perceptual awareness, this magnetoencephalography (MEG) study used targets that could only be identified with cues provided after or before the masked target. In experiment 1, multiple mono-tone streams with jittered inter-stimulus interval were used, and the tone frequency of the target was indicated by a cue. Results showed no differential auditory cortex activity between hit and miss trials with post-stimulus cues. A late negative response for hit trials was only observed for pre-stimulus cues, suggesting a task-related component. Since experiment 1 provided no evidence for a link of a difference response with tone awareness, experiment 2 was planned to probe if detection of tone streams was linked to a difference response in auditory cortex. Random-tone sequences were presented in the presence of a multi-tone masker, and the sequence was repeated without masker thereafter. Results showed a prominent difference wave for hit compared to miss trials in experiment 2 evoked by targets in the presence of the masker. These results suggest that perceptual awareness of tone streams is linked to neural activity in auditory cortex.COMMENT: The data set comprises the single-subject source waveforms derived with dipole source analysis. The ascii files were written with BESA (.swf = source waveform file). The matlab code reads in the data for further analysis and to calculate the grand average source waveforms shown in the paper. The .html files represent the output of the statistical analysis of the average amplitudes in the source waveforms (SAS).","Subject":"Medicine, Health and Life Sciences","Keywords":"attention; auditory scene analysis; conscious perception; informational masking; magnetoencephalography; perceptual awareness"},{"pid":"doi:10.15139/S3/0P513I","Title":"The Real-U Follow-Up Study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Real-U Follow-Up Study' Description:'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {alcohol use; anxiety; COVID-19 coping; COVID-19 stressors; depression; drug use; mental health disorders; young adults+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Real-U Follow-Up Study' Description:'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.","Subject":"Medicine, Health and Life Sciences","Keywords":"alcohol use; anxiety; COVID-19 coping; COVID-19 stressors; depression; drug use; mental health disorders; young adults"},{"pid":"doi:10.15139/S3/2LU36F","Title":"PLACE Uganda 2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'PLACE Uganda 2018' Description:'These are data from the PLACE study in Uganda. Dataset B includes information about each venue in the study. Dataset C includes information about people interviewed for the study. Uganda GPS locations includes GPS locations for the venues.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {PLACE; Uganda+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'PLACE Uganda 2018' Description:'These are data from the PLACE study in Uganda. Dataset B includes information about each venue in the study. Dataset C includes information about people interviewed for the study. Uganda GPS locations includes GPS locations for the venues.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are data from the PLACE study in Uganda. Dataset B includes information about each venue in the study. Dataset C includes information about people interviewed for the study. Uganda GPS locations includes GPS locations for the venues.","Subject":"Medicine, Health and Life Sciences","Keywords":"PLACE; Uganda"},{"pid":"doi:10.15139/S3/3FIOZJ","Title":"Alternative Approaches to MDA Coverage Surveys in Burkina Faso","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Alternative Approaches to MDA Coverage Surveys in Burkina Faso' Description:'Coverage surveys are an important tool for programs to evaluate their reporting systems and to determine whether effective MDA coverage has been achieved. However, for various reasons coverage surveys are seldom implemented. Some key challenges are: perceived technical difficulty, lack of resources, and lack of standardized guidance on how to conduct coverage surveys. This protocol seeks to address the 1st and 3rd points by comparing the feasibility of three different coverage survey methods (EPI approach, LQAS, and segmentation). This study was completed in 3 districts in Burkina Faso. All 3 districts found that their survey coverage was above the WHO target threshold (65% for LF). Furthermore, in all 3 cases the survey coverage validated (or nearly validated) the reported coverage. Taken together this suggests that the Burkina Faso program is working well. The feasibility results found all 3 methods to be very similar with regards to time, cost and perceived difficulty. Because only the segmentation approach results in a probability sample, this method was recommended by the M&E Working Group and ultimately approved by the WHO's Strategic Technical Advisory Group to NTDs. Since the approval, significant work has been underway to create guidelines for conducting coverage surveys for preventive chemotherapy. An Excel tool was created to improve the usability of the tool and online learning modules are currently in the works. This particular Dataverse entry focuses on the study data from three districts selected in Burkina Faso.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Coverage Survey; Lymphatic Filariasis; Mass Drug Administration (MDA)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Alternative Approaches to MDA Coverage Surveys in Burkina Faso' Description:'Coverage surveys are an important tool for programs to evaluate their reporting systems and to determine whether effective MDA coverage has been achieved. However, for various reasons coverage surveys are seldom implemented. Some key challenges are: perceived technical difficulty, lack of resources, and lack of standardized guidance on how to conduct coverage surveys. This protocol seeks to address the 1st and 3rd points by comparing the feasibility of three different coverage survey methods (EPI approach, LQAS, and segmentation). This study was completed in 3 districts in Burkina Faso. All 3 districts found that their survey coverage was above the WHO target threshold (65% for LF). Furthermore, in all 3 cases the survey coverage validated (or nearly validated) the reported coverage. Taken together this suggests that the Burkina Faso program is working well. The feasibility results found all 3 methods to be very similar with regards to time, cost and perceived difficulty. Because only the segmentation approach results in a probability sample, this method was recommended by the M&E Working Group and ultimately approved by the WHO's Strategic Technical Advisory Group to NTDs. Since the approval, significant work has been underway to create guidelines for conducting coverage surveys for preventive chemotherapy. An Excel tool was created to improve the usability of the tool and online learning modules are currently in the works. This particular Dataverse entry focuses on the study data from three districts selected in Burkina Faso.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Coverage surveys are an important tool for programs to evaluate their reporting systems and to determine whether effective MDA coverage has been achieved. However, for various reasons coverage surveys are seldom implemented. Some key challenges are: perceived technical difficulty, lack of resources, and lack of standardized guidance on how to conduct coverage surveys. This protocol seeks to address the 1st and 3rd points by comparing the feasibility of three different coverage survey methods (EPI approach, LQAS, and segmentation). This study was completed in 3 districts in Burkina Faso. All 3 districts found that their survey coverage was above the WHO target threshold (65% for LF). Furthermore, in all 3 cases the survey coverage validated (or nearly validated) the reported coverage. Taken together this suggests that the Burkina Faso program is working well. The feasibility results found all 3 methods to be very similar with regards to time, cost and perceived difficulty. Because only the segmentation approach results in a probability sample, this method was recommended by the M&E Working Group and ultimately approved by the WHO's Strategic Technical Advisory Group to NTDs. Since the approval, significant work has been underway to create guidelines for conducting coverage surveys for preventive chemotherapy. An Excel tool was created to improve the usability of the tool and online learning modules are currently in the works. This particular Dataverse entry focuses on the study data from three districts selected in Burkina Faso.","Subject":"Medicine, Health and Life Sciences","Keywords":"Coverage Survey; Lymphatic Filariasis; Mass Drug Administration (MDA)"},{"pid":"doi:10.15139/S3/3KW1DB","Title":"Listening to Mothers in California Survey, 2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Listening to Mothers in California Survey, 2018' Description:'Listening to Mothers™ surveys (2002 - to present) investigate women's childbearing experiences from pregnancy (and sometimes earlier) through the postpartum period, and their views about these matters. National Listening to Mothers surveys to date were led by Childbirth Connection, which became a core program of the National Partnership for Women & Families in 2014.Listening to Mothers in California, led by the National Partnership for Women & Families, is the first state-level Listening to Mothers survey. This population-based survey of women who gave birth in California hospitals in 2016 was carried out by core Listening to Mothers investigators at the National Partnership for Women & Families and at Boston University School of Public Health, joined by investigators at what is now known as the University of California San Francisco Center for Health Equity, in collaboration with the survey research firm Quantum Market Research. California Health Care Foundation and Yellow Chair Foundation funded the survey. As investigators had access to selected birth certificate items for sampling, contacting sampled women, data weighting and data analyses, the methodology of this survey differs from the methodology used in national Listening to Mothers surveys. Other differences between past national surveys and this state-level survey include the ability to participate in the state survey in either English or Spanish and to participate on any device, as well as with a trained interviewer. Eligible women could participate in past national surveys in English only and either on their own with a laptop or desktop computer or by telephone with a trained interviewer.The Listening to Mothers in California survey questionnaire retained some core items that had been included in previous surveys, adapted others (including for mobile-first display), and included new items developed to explore the evolving U.S. health and maternity care environment and topics relevant to the California context. Topics included care arrangements, maternity care (and especially care during the hospital stay for giving birth), mode of birth, respectful and disrespectful treatment, postpartum experiences, and perinatal mental health (especially anxiety and depression). The public dataset is limited to items provided by survey participants while completing the survey, exclusive of personally identifiable information. For their analyses, the survey investigators have access to two additional sources of information about survey participants that cannot be made public: selected items on participants’ birth certificates and selected items abstracted from the California Department of Health Care Services Management Information System/Decision Support System Warehouse.Much information about the California survey is available at either www.nationalpartnership.org/LTMCA or www.chcf.org/listening-to-mothers-CA. Information about national surveys (including a bibliography of analyses carried out to date and other reports) is available at www.nationalpartnership.org/listeningtomothers/.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Intrapartum; Maternal mental health; Maternity care; Maternity experiences; Postpartum; Pregnancy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Listening to Mothers in California Survey, 2018' Description:'Listening to Mothers™ surveys (2002 - to present) investigate women's childbearing experiences from pregnancy (and sometimes earlier) through the postpartum period, and their views about these matters. National Listening to Mothers surveys to date were led by Childbirth Connection, which became a core program of the National Partnership for Women & Families in 2014.Listening to Mothers in California, led by the National Partnership for Women & Families, is the first state-level Listening to Mothers survey. This population-based survey of women who gave birth in California hospitals in 2016 was carried out by core Listening to Mothers investigators at the National Partnership for Women & Families and at Boston University School of Public Health, joined by investigators at what is now known as the University of California San Francisco Center for Health Equity, in collaboration with the survey research firm Quantum Market Research. California Health Care Foundation and Yellow Chair Foundation funded the survey. As investigators had access to selected birth certificate items for sampling, contacting sampled women, data weighting and data analyses, the methodology of this survey differs from the methodology used in national Listening to Mothers surveys. Other differences between past national surveys and this state-level survey include the ability to participate in the state survey in either English or Spanish and to participate on any device, as well as with a trained interviewer. Eligible women could participate in past national surveys in English only and either on their own with a laptop or desktop computer or by telephone with a trained interviewer.The Listening to Mothers in California survey questionnaire retained some core items that had been included in previous surveys, adapted others (including for mobile-first display), and included new items developed to explore the evolving U.S. health and maternity care environment and topics relevant to the California context. Topics included care arrangements, maternity care (and especially care during the hospital stay for giving birth), mode of birth, respectful and disrespectful treatment, postpartum experiences, and perinatal mental health (especially anxiety and depression). The public dataset is limited to items provided by survey participants while completing the survey, exclusive of personally identifiable information. For their analyses, the survey investigators have access to two additional sources of information about survey participants that cannot be made public: selected items on participants’ birth certificates and selected items abstracted from the California Department of Health Care Services Management Information System/Decision Support System Warehouse.Much information about the California survey is available at either www.nationalpartnership.org/LTMCA or www.chcf.org/listening-to-mothers-CA. Information about national surveys (including a bibliography of analyses carried out to date and other reports) is available at www.nationalpartnership.org/listeningtomothers/.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Listening to Mothers™ surveys (2002 - to present) investigate women's childbearing experiences from pregnancy (and sometimes earlier) through the postpartum period, and their views about these matters. National Listening to Mothers surveys to date were led by Childbirth Connection, which became a core program of the National Partnership for Women & Families in 2014.Listening to Mothers in California, led by the National Partnership for Women & Families, is the first state-level Listening to Mothers survey. This population-based survey of women who gave birth in California hospitals in 2016 was carried out by core Listening to Mothers investigators at the National Partnership for Women & Families and at Boston University School of Public Health, joined by investigators at what is now known as the University of California San Francisco Center for Health Equity, in collaboration with the survey research firm Quantum Market Research. California Health Care Foundation and Yellow Chair Foundation funded the survey. As investigators had access to selected birth certificate items for sampling, contacting sampled women, data weighting and data analyses, the methodology of this survey differs from the methodology used in national Listening to Mothers surveys. Other differences between past national surveys and this state-level survey include the ability to participate in the state survey in either English or Spanish and to participate on any device, as well as with a trained interviewer. Eligible women could participate in past national surveys in English only and either on their own with a laptop or desktop computer or by telephone with a trained interviewer.The Listening to Mothers in California survey questionnaire retained some core items that had been included in previous surveys, adapted others (including for mobile-first display), and included new items developed to explore the evolving U.S. health and maternity care environment and topics relevant to the California context. Topics included care arrangements, maternity care (and especially care during the hospital stay for giving birth), mode of birth, respectful and disrespectful treatment, postpartum experiences, and perinatal mental health (especially anxiety and depression). The public dataset is limited to items provided by survey participants while completing the survey, exclusive of personally identifiable information. For their analyses, the survey investigators have access to two additional sources of information about survey participants that cannot be made public: selected items on participants’ birth certificates and selected items abstracted from the California Department of Health Care Services Management Information System/Decision Support System Warehouse.Much information about the California survey is available at either www.nationalpartnership.org/LTMCA or www.chcf.org/listening-to-mothers-CA. Information about national surveys (including a bibliography of analyses carried out to date and other reports) is available at www.nationalpartnership.org/listeningtomothers/.","Subject":"Medicine, Health and Life Sciences","Keywords":"Intrapartum; Maternal mental health; Maternity care; Maternity experiences; Postpartum; Pregnancy"},{"pid":"doi:10.15139/S3/3YCPWA","Title":"Establishing Mental Health","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Establishing Mental Health' Description:'The Establishing Mental Health study was conducted from 2013-12-16 to 2015-07-10 in Tanzania. Data were collected on participants' HIV status and various mental health measures, including the PHQ9, SDQ, and UCLA PTSD assessment. The study population comprised adolescents and youth attending the Kilimanjaro Christian Medical Centre and later the Mawenzi Regional Referral Hospital Care and Treatment Clinic adolescent HIV clinics. These clinics are referred to as 'Teen Club' or 'Klubu ya Vijana'. Participants were between 11 and 24 years of age and disclosed their HIV status. Not all youth were receiving antiretroviral therapy at the time of the study as the National Guidelines at the time did not offer ART to everyone; only those with CD4 All data within the AMANI collection is restricted to protect confidentiality. You may request access to a dataset by contacting the data depositor at the email address provided under the Terms of Service.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {PHQ9; PTSD Reaction Index for Children/Adolescents; SDQ+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Establishing Mental Health' Description:'The Establishing Mental Health study was conducted from 2013-12-16 to 2015-07-10 in Tanzania. Data were collected on participants' HIV status and various mental health measures, including the PHQ9, SDQ, and UCLA PTSD assessment. The study population comprised adolescents and youth attending the Kilimanjaro Christian Medical Centre and later the Mawenzi Regional Referral Hospital Care and Treatment Clinic adolescent HIV clinics. These clinics are referred to as 'Teen Club' or 'Klubu ya Vijana'. Participants were between 11 and 24 years of age and disclosed their HIV status. Not all youth were receiving antiretroviral therapy at the time of the study as the National Guidelines at the time did not offer ART to everyone; only those with CD4 All data within the AMANI collection is restricted to protect confidentiality. You may request access to a dataset by contacting the data depositor at the email address provided under the Terms of Service.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Establishing Mental Health study was conducted from 2013-12-16 to 2015-07-10 in Tanzania. Data were collected on participants' HIV status and various mental health measures, including the PHQ9, SDQ, and UCLA PTSD assessment. The study population comprised adolescents and youth attending the Kilimanjaro Christian Medical Centre and later the Mawenzi Regional Referral Hospital Care and Treatment Clinic adolescent HIV clinics. These clinics are referred to as 'Teen Club' or 'Klubu ya Vijana'. Participants were between 11 and 24 years of age and disclosed their HIV status. Not all youth were receiving antiretroviral therapy at the time of the study as the National Guidelines at the time did not offer ART to everyone; only those with CD4 All data within the AMANI collection is restricted to protect confidentiality. You may request access to a dataset by contacting the data depositor at the email address provided under the Terms of Service.","Subject":"Medicine, Health and Life Sciences","Keywords":"PHQ9; PTSD Reaction Index for Children/Adolescents; SDQ"},{"pid":"doi:10.15139/S3/4QUN5B","Title":"Replication Data for: The Politics of Pandemics: The Effect of Stay-At-Home Orders on COVID-19 Mitigation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The Politics of Pandemics: The Effect of Stay-At-Home Orders on COVID-19 Mitigation' Description:'The COVID-19 pandemic has upended every aspect of American life. State governments responded quickly to protect public health and stabilize overwhelmed hospital systems. The most restrictive policy, the stay-at-home order, was seen by public health officials as a cornerstone of successful state mitigation strategies. But like many aspects of contemporary politics, support for these efforts took on a distinctly partisan hue. In this paper, I argue that party politics significantly affected state policy responses to COVID-19, which in turn limited mitigation efforts. To this point, I first demonstrate that Democratic governors were faster and more likely to adopt stay-at-home orders than Republicans. Next, using a synthetic control approach, I show that these orders caused residents to practice greater social distancing. Finally, I find that greater social distancing worked to 'flattened the curve' by limiting the growth of COVID-19 cases. Together these findings show how party politics affected state pandemic responses and have important long-term implications as states begin lifting restrictions.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19; Pandemic response; Partisanship; Party politics; Policy diffusion; Social distancing; State policy; Stay-at-home order+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The Politics of Pandemics: The Effect of Stay-At-Home Orders on COVID-19 Mitigation' Description:'The COVID-19 pandemic has upended every aspect of American life. State governments responded quickly to protect public health and stabilize overwhelmed hospital systems. The most restrictive policy, the stay-at-home order, was seen by public health officials as a cornerstone of successful state mitigation strategies. But like many aspects of contemporary politics, support for these efforts took on a distinctly partisan hue. In this paper, I argue that party politics significantly affected state policy responses to COVID-19, which in turn limited mitigation efforts. To this point, I first demonstrate that Democratic governors were faster and more likely to adopt stay-at-home orders than Republicans. Next, using a synthetic control approach, I show that these orders caused residents to practice greater social distancing. Finally, I find that greater social distancing worked to 'flattened the curve' by limiting the growth of COVID-19 cases. Together these findings show how party politics affected state pandemic responses and have important long-term implications as states begin lifting restrictions.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The COVID-19 pandemic has upended every aspect of American life. State governments responded quickly to protect public health and stabilize overwhelmed hospital systems. The most restrictive policy, the stay-at-home order, was seen by public health officials as a cornerstone of successful state mitigation strategies. But like many aspects of contemporary politics, support for these efforts took on a distinctly partisan hue. In this paper, I argue that party politics significantly affected state policy responses to COVID-19, which in turn limited mitigation efforts. To this point, I first demonstrate that Democratic governors were faster and more likely to adopt stay-at-home orders than Republicans. Next, using a synthetic control approach, I show that these orders caused residents to practice greater social distancing. Finally, I find that greater social distancing worked to 'flattened the curve' by limiting the growth of COVID-19 cases. Together these findings show how party politics affected state pandemic responses and have important long-term implications as states begin lifting restrictions.","Subject":"Medicine, Health and Life Sciences","Keywords":"COVID-19; Pandemic response; Partisanship; Party politics; Policy diffusion; Social distancing; State policy; Stay-at-home order"},{"pid":"doi:10.15139/S3/5QZXJY","Title":"Carryover Survey - IQOS, Organic, LGBT Experiment","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Carryover Survey - IQOS, Organic, LGBT Experiment' Description:'Carryover study experiment documentation and data' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {IQOS; tobacco products+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Carryover Survey - IQOS, Organic, LGBT Experiment' Description:'Carryover study experiment documentation and data' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Carryover study experiment documentation and data","Subject":"Medicine, Health and Life Sciences","Keywords":"IQOS; tobacco products"},{"pid":"doi:10.15139/S3/6175L7","Title":"Associations of Tobacco Retailer Density and Proximity with Adult Tobacco Use and Health Outcomes: A Meta-Analysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Associations of Tobacco Retailer Density and Proximity with Adult Tobacco Use and Health Outcomes: A Meta-Analysis' Description:'Tobacco use is a leading cause of preventable death in high income countries. The tobacco industry markets its products in ways to increase their availability, accessibility, and ubiquity in the retail environment. This marketing is targeted at communities in ways that can increase social inequities.Prior systematic reviews have identified and described the literature on the role of tobacco marketing on behavior (Robertson, Cameron, McGee, Marsh, & Hoek, 2016; Robertson, McGee, Marsh, & Hoek, 2015), on inequities in the availability of tobacco marketing (Lee, Henriksen, Rose, Moreland-Russell, & Ribisl, 2015), and on the role of tobacco retailer density on adolescent health behaviors (Gwon, DeGuzman, Kulbok, & Jeong, 2017). One systematic review and meta-analysis has looked at adolescent smoking behaviors in relation to tobacco retailer density (Finan et al., 2018) and one at volume of marketing in neighborhoods (Primack, Bost, Land, & Fine, 2007).Understanding the impact of tobacco retailer density and proximity on adult tobacco use behaviors as well as on the scale of social inequities is important given that there are available policy mechanisms for reducing the density and proximity of tobacco retailers (Ackerman, Etow, Bartel, & Ribisl, 2017; Myers, Hall, Isgett, & Ribisl, 2015) and these have potential to influence social inequities (Ribisl et al., 2017).This Dataset provides supplemental files and data. The systematic review is registered in PROSPERO #CRD42019124984' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {density; point of sale; proximity; residence characteristics; smoking+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Associations of Tobacco Retailer Density and Proximity with Adult Tobacco Use and Health Outcomes: A Meta-Analysis' Description:'Tobacco use is a leading cause of preventable death in high income countries. The tobacco industry markets its products in ways to increase their availability, accessibility, and ubiquity in the retail environment. This marketing is targeted at communities in ways that can increase social inequities.Prior systematic reviews have identified and described the literature on the role of tobacco marketing on behavior (Robertson, Cameron, McGee, Marsh, & Hoek, 2016; Robertson, McGee, Marsh, & Hoek, 2015), on inequities in the availability of tobacco marketing (Lee, Henriksen, Rose, Moreland-Russell, & Ribisl, 2015), and on the role of tobacco retailer density on adolescent health behaviors (Gwon, DeGuzman, Kulbok, & Jeong, 2017). One systematic review and meta-analysis has looked at adolescent smoking behaviors in relation to tobacco retailer density (Finan et al., 2018) and one at volume of marketing in neighborhoods (Primack, Bost, Land, & Fine, 2007).Understanding the impact of tobacco retailer density and proximity on adult tobacco use behaviors as well as on the scale of social inequities is important given that there are available policy mechanisms for reducing the density and proximity of tobacco retailers (Ackerman, Etow, Bartel, & Ribisl, 2017; Myers, Hall, Isgett, & Ribisl, 2015) and these have potential to influence social inequities (Ribisl et al., 2017).This Dataset provides supplemental files and data. The systematic review is registered in PROSPERO #CRD42019124984' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Tobacco use is a leading cause of preventable death in high income countries. The tobacco industry markets its products in ways to increase their availability, accessibility, and ubiquity in the retail environment. This marketing is targeted at communities in ways that can increase social inequities.Prior systematic reviews have identified and described the literature on the role of tobacco marketing on behavior (Robertson, Cameron, McGee, Marsh, & Hoek, 2016; Robertson, McGee, Marsh, & Hoek, 2015), on inequities in the availability of tobacco marketing (Lee, Henriksen, Rose, Moreland-Russell, & Ribisl, 2015), and on the role of tobacco retailer density on adolescent health behaviors (Gwon, DeGuzman, Kulbok, & Jeong, 2017). One systematic review and meta-analysis has looked at adolescent smoking behaviors in relation to tobacco retailer density (Finan et al., 2018) and one at volume of marketing in neighborhoods (Primack, Bost, Land, & Fine, 2007).Understanding the impact of tobacco retailer density and proximity on adult tobacco use behaviors as well as on the scale of social inequities is important given that there are available policy mechanisms for reducing the density and proximity of tobacco retailers (Ackerman, Etow, Bartel, & Ribisl, 2017; Myers, Hall, Isgett, & Ribisl, 2015) and these have potential to influence social inequities (Ribisl et al., 2017).This Dataset provides supplemental files and data. The systematic review is registered in PROSPERO #CRD42019124984","Subject":"Medicine, Health and Life Sciences","Keywords":"density; point of sale; proximity; residence characteristics; smoking"},{"pid":"doi:10.15139/S3/6UBBYP","Title":"Bangladesh Marketing Innovation for Health (MIH) Project Endline Survey 2015/2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Bangladesh Marketing Innovation for Health (MIH) Project Endline Survey 2015/2016' Description:'The Marketing Innovation for Health (MIH) Endline Survey 2015/2016 provides endline data for the evaluation of USAID/Bangladesh’s MIH project, a social marketing activity designed to provide comprehensive health and family planning education, products and services in 19 priority districts of rural Bangladesh. The endline survey collected data from a representative sample of target households and ever-married women of reproductive age in MIH project areas and from comparable non-project adjacent areas. The endline survey complements the MIH Baseline Survey conducted in 2013/2014 and it allows to track changes in key outcome indicators. Data from both surveys supports conducting an impact evaluation of the MIH using a quasi-experimental difference-in-differences design.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bangladesh; Family planning; Reproductive health services; Social marketing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Bangladesh Marketing Innovation for Health (MIH) Project Endline Survey 2015/2016' Description:'The Marketing Innovation for Health (MIH) Endline Survey 2015/2016 provides endline data for the evaluation of USAID/Bangladesh’s MIH project, a social marketing activity designed to provide comprehensive health and family planning education, products and services in 19 priority districts of rural Bangladesh. The endline survey collected data from a representative sample of target households and ever-married women of reproductive age in MIH project areas and from comparable non-project adjacent areas. The endline survey complements the MIH Baseline Survey conducted in 2013/2014 and it allows to track changes in key outcome indicators. Data from both surveys supports conducting an impact evaluation of the MIH using a quasi-experimental difference-in-differences design.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Marketing Innovation for Health (MIH) Endline Survey 2015/2016 provides endline data for the evaluation of USAID/Bangladesh’s MIH project, a social marketing activity designed to provide comprehensive health and family planning education, products and services in 19 priority districts of rural Bangladesh. The endline survey collected data from a representative sample of target households and ever-married women of reproductive age in MIH project areas and from comparable non-project adjacent areas. The endline survey complements the MIH Baseline Survey conducted in 2013/2014 and it allows to track changes in key outcome indicators. Data from both surveys supports conducting an impact evaluation of the MIH using a quasi-experimental difference-in-differences design.","Subject":"Medicine, Health and Life Sciences","Keywords":"Bangladesh; Family planning; Reproductive health services; Social marketing"},{"pid":"doi:10.15139/S3/6WA1FD","Title":"Minutes of the Eugenics Board of North Carolina, 1958-1964","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Minutes of the Eugenics Board of North Carolina, 1958-1964' Description:'This collection contains scans of the redacted, typed minutes of the Eugenics Board meetings between 1958 to 1964, held at the State Archives of North Carolina (SANC). Redactions were carried out by staff of the SANC. These records are publicly available and may be examined in the Reading Room of the SANC. The original order of the data was chronological, by meeting date. The board was established in 1933 and operated until 1977. Its role, documented in the board minutes, was to act on county-level petitions recommending sterilization. More than 90% were approved. Between 1933 and 1974 more than 7,600 persons were sterilized. Most were poor and a majority were African American. The minutes include the name (redacted) and county of residence of the individual under consideration, social and medical history, results of IQ tests, diagnosis, name of doctor performing the procedure (redacted), and where the procedure was to be performed. African Americans are indicated by “(N)”.The data set includes digitized meeting minutes in .pdf format.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Eugenics; Eugenics--Law and legislation; Involuntary sterilization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Minutes of the Eugenics Board of North Carolina, 1958-1964' Description:'This collection contains scans of the redacted, typed minutes of the Eugenics Board meetings between 1958 to 1964, held at the State Archives of North Carolina (SANC). Redactions were carried out by staff of the SANC. These records are publicly available and may be examined in the Reading Room of the SANC. The original order of the data was chronological, by meeting date. The board was established in 1933 and operated until 1977. Its role, documented in the board minutes, was to act on county-level petitions recommending sterilization. More than 90% were approved. Between 1933 and 1974 more than 7,600 persons were sterilized. Most were poor and a majority were African American. The minutes include the name (redacted) and county of residence of the individual under consideration, social and medical history, results of IQ tests, diagnosis, name of doctor performing the procedure (redacted), and where the procedure was to be performed. African Americans are indicated by “(N)”.The data set includes digitized meeting minutes in .pdf format.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This collection contains scans of the redacted, typed minutes of the Eugenics Board meetings between 1958 to 1964, held at the State Archives of North Carolina (SANC). Redactions were carried out by staff of the SANC. These records are publicly available and may be examined in the Reading Room of the SANC. The original order of the data was chronological, by meeting date. The board was established in 1933 and operated until 1977. Its role, documented in the board minutes, was to act on county-level petitions recommending sterilization. More than 90% were approved. Between 1933 and 1974 more than 7,600 persons were sterilized. Most were poor and a majority were African American. The minutes include the name (redacted) and county of residence of the individual under consideration, social and medical history, results of IQ tests, diagnosis, name of doctor performing the procedure (redacted), and where the procedure was to be performed. African Americans are indicated by “(N)”.The data set includes digitized meeting minutes in .pdf format.","Subject":" Medicine, Health and Life Sciences","Keywords":"Eugenics; Eugenics--Law and legislation; Involuntary sterilization"},{"pid":"doi:10.15139/S3/84SGKO","Title":"Amyotrophic Lateral Sclerosis (ALS) Microbiome Pilot Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Amyotrophic Lateral Sclerosis (ALS) Microbiome Pilot Data' Description:'This study was to examine differential composition of the gut microbial communities between ALS patients and their partner/caregiver controls. Rectal swabs were self-collected by 10 patient – control pairs in the summer of 2016. After DNA isolation, the V4 region of the 16S rRNA gene was sequenced. These files can be found at NCBI as BioProject NNNNN and at the NCBI SRA as accession IDIDs: nnnnn-nnnnn. (NB: Accession IDs will be given once assigned by NCBI)' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Amyotrophic lateral sclerosis; differential composition; gut microbiome+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Amyotrophic Lateral Sclerosis (ALS) Microbiome Pilot Data' Description:'This study was to examine differential composition of the gut microbial communities between ALS patients and their partner/caregiver controls. Rectal swabs were self-collected by 10 patient – control pairs in the summer of 2016. After DNA isolation, the V4 region of the 16S rRNA gene was sequenced. These files can be found at NCBI as BioProject NNNNN and at the NCBI SRA as accession IDIDs: nnnnn-nnnnn. (NB: Accession IDs will be given once assigned by NCBI)' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study was to examine differential composition of the gut microbial communities between ALS patients and their partner/caregiver controls. Rectal swabs were self-collected by 10 patient – control pairs in the summer of 2016. After DNA isolation, the V4 region of the 16S rRNA gene was sequenced. These files can be found at NCBI as BioProject NNNNN and at the NCBI SRA as accession IDIDs: nnnnn-nnnnn. (NB: Accession IDs will be given once assigned by NCBI)","Subject":"Medicine, Health and Life Sciences","Keywords":"Amyotrophic lateral sclerosis; differential composition; gut microbiome"},{"pid":"doi:10.15139/S3/ALLOPV","Title":"District Mapping Onchocerciasis and Lymphatic Filariasis in Kenya: Assessing Sampling Strategies for Onchocerciasis Elimination Mapping (OEM)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'District Mapping Onchocerciasis and Lymphatic Filariasis in Kenya: Assessing Sampling Strategies for Onchocerciasis Elimination Mapping (OEM)' Description:'As onchocerciasis programs in Africa shift from a paradigm of control to one of elimination, there is a need to determine whether transmission is ongoing in previously-untreated areas. To do so, there is a need to develop a mapping strategy that is rigorous enough to detect low levels of ongoing transmission while also using resources efficiently. A multi-country operational research study was conducted comparing sampling in purposively-selected communities, random sampling in randomly-selected communities, and random sampling in the schools in which the majority of children from the randomly-selected villages attended. In Kenya, random sampling was also used in purposively-selected communities. Six sub-countries in Kenya were included in the study: Bonchari, Bureti, Hamisi, Kasipul, Lunga Lunga, and Mt Elgon. All of these sub-counties are located in Western Kenya near the Ugandan border, with the exception of Lunga Lunga, which is located in coastal Kenya on the Tanzanian border. Seroprevalence by Ov16 rapid diagnostic test (RDT) was very low in all sub-counties. In randomly-selected villages, prevalence was 0.1% in Bureti, 0.2% in Hamisi, and 0.1% in Mt. Elgon. No positive RDT results were found in Bonchari, Kasipul, or Lunga Lunga. The only positive results found in purposively-selected communities were in Bonchari (0.1%). Interpretation of results in this context is still ongoing.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Lymphatic Filariasis; Onchocerciasis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'District Mapping Onchocerciasis and Lymphatic Filariasis in Kenya: Assessing Sampling Strategies for Onchocerciasis Elimination Mapping (OEM)' Description:'As onchocerciasis programs in Africa shift from a paradigm of control to one of elimination, there is a need to determine whether transmission is ongoing in previously-untreated areas. To do so, there is a need to develop a mapping strategy that is rigorous enough to detect low levels of ongoing transmission while also using resources efficiently. A multi-country operational research study was conducted comparing sampling in purposively-selected communities, random sampling in randomly-selected communities, and random sampling in the schools in which the majority of children from the randomly-selected villages attended. In Kenya, random sampling was also used in purposively-selected communities. Six sub-countries in Kenya were included in the study: Bonchari, Bureti, Hamisi, Kasipul, Lunga Lunga, and Mt Elgon. All of these sub-counties are located in Western Kenya near the Ugandan border, with the exception of Lunga Lunga, which is located in coastal Kenya on the Tanzanian border. Seroprevalence by Ov16 rapid diagnostic test (RDT) was very low in all sub-counties. In randomly-selected villages, prevalence was 0.1% in Bureti, 0.2% in Hamisi, and 0.1% in Mt. Elgon. No positive RDT results were found in Bonchari, Kasipul, or Lunga Lunga. The only positive results found in purposively-selected communities were in Bonchari (0.1%). Interpretation of results in this context is still ongoing.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As onchocerciasis programs in Africa shift from a paradigm of control to one of elimination, there is a need to determine whether transmission is ongoing in previously-untreated areas. To do so, there is a need to develop a mapping strategy that is rigorous enough to detect low levels of ongoing transmission while also using resources efficiently. A multi-country operational research study was conducted comparing sampling in purposively-selected communities, random sampling in randomly-selected communities, and random sampling in the schools in which the majority of children from the randomly-selected villages attended. In Kenya, random sampling was also used in purposively-selected communities. Six sub-countries in Kenya were included in the study: Bonchari, Bureti, Hamisi, Kasipul, Lunga Lunga, and Mt Elgon. All of these sub-counties are located in Western Kenya near the Ugandan border, with the exception of Lunga Lunga, which is located in coastal Kenya on the Tanzanian border. Seroprevalence by Ov16 rapid diagnostic test (RDT) was very low in all sub-counties. In randomly-selected villages, prevalence was 0.1% in Bureti, 0.2% in Hamisi, and 0.1% in Mt. Elgon. No positive RDT results were found in Bonchari, Kasipul, or Lunga Lunga. The only positive results found in purposively-selected communities were in Bonchari (0.1%). Interpretation of results in this context is still ongoing.","Subject":"Medicine, Health and Life Sciences","Keywords":"Lymphatic Filariasis; Onchocerciasis"},{"pid":"doi:10.15139/S3/AURUGS","Title":"COVID-19 Resource Sheets for Outreach and Community Health Workers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'COVID-19 Resource Sheets for Outreach and Community Health Workers' Description:'Two helpsheets for farmworker health about COVID-19 and vaccines.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID; Farmworkers; Migrant workers+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'COVID-19 Resource Sheets for Outreach and Community Health Workers' Description:'Two helpsheets for farmworker health about COVID-19 and vaccines.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Two helpsheets for farmworker health about COVID-19 and vaccines.","Subject":"Medicine, Health and Life Sciences","Keywords":"COVID; Farmworkers; Migrant workers"},{"pid":"doi:10.15139/S3/AWWL46","Title":"Alternative Approaches to MDA Coverage Surveys in Malawi","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Alternative Approaches to MDA Coverage Surveys in Malawi' Description:'Research Objectives: 1)To compare the feasibility of 3 different coverage survey methodologies. 2) To assess drug coverage, relative to WHO thresholds, and validate the reporting system.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Lymphatic Filariasis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Alternative Approaches to MDA Coverage Surveys in Malawi' Description:'Research Objectives: 1)To compare the feasibility of 3 different coverage survey methodologies. 2) To assess drug coverage, relative to WHO thresholds, and validate the reporting system.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Objectives: 1)To compare the feasibility of 3 different coverage survey methodologies. 2) To assess drug coverage, relative to WHO thresholds, and validate the reporting system.","Subject":"Medicine, Health and Life Sciences","Keywords":"Lymphatic Filariasis"},{"pid":"doi:10.15139/S3/CKYMUM","Title":"Deidentified data set for 'Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Deidentified data set for 'Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool'' Description:'Deidentified data set for 'Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool'' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {risk covid covid19 outpatient telemedicine+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Deidentified data set for 'Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool'' Description:'Deidentified data set for 'Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool'' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Deidentified data set for 'Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool'","Subject":"Medicine, Health and Life Sciences","Keywords":"risk covid covid19 outpatient telemedicine"},{"pid":"doi:10.15139/S3/CO9SFM","Title":"Deidentified Data Set for Symptom Duration Study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Deidentified Data Set for Symptom Duration Study' Description:'Data set for symptom duration study 1) data to recreate heat maps for all patients and by provider assessed severity and 2) symptom duration for all patients and by provider assessed severity' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {covid symptom duration prevalence+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Deidentified Data Set for Symptom Duration Study' Description:'Data set for symptom duration study 1) data to recreate heat maps for all patients and by provider assessed severity and 2) symptom duration for all patients and by provider assessed severity' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data set for symptom duration study 1) data to recreate heat maps for all patients and by provider assessed severity and 2) symptom duration for all patients and by provider assessed severity","Subject":"Medicine, Health and Life Sciences","Keywords":"covid symptom duration prevalence"},{"pid":"doi:10.15139/S3/CYH7X7","Title":"Opioids at the Health and Transportation Safety Nexus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Opioids at the Health and Transportation Safety Nexus' Description:'Background: Drug overdoses and motor vehicle (MV) crashes are leading causes of unintentional injury death in the US, resulting in over 100,000 fatalities in 2017. Research has established that opioids affect driving ability and that crash-related injuries often result in opioid prescribing. Despite known associations, current approaches for studying these intertwined public health problems typically involve separate analyses using discrete databases. Purpose: To assess collection of relevant data elements and evaluate the linkage potential of prescription drug monitoring programs (PDMP) with crash databases, and to determine knowledge gaps that can be addressed through effective linkage.Methods: Standardized templates were used to abstract specific data elements and attributes of MV crash and PDMP databases for all 50 states and DC. Abstracted PDMP elements included accessibility of PDMP data and schedules of controlled substances monitored in each state, while crash-related elements included whether crash reports document the type of drug test administered at the scene and the granularity of test results recorded.Results: A majority of PDMPs (94%) are authorized to release data for research purposes. Schedules II-V controlled substances are tracked in 76% of PDMPs, with the remaining tracking II-IV. Drug-related elements captured in crash reports varied considerably by state. Eighty-six percent of states document the type of drug test administered; however, 54% of states only record whether a drug test was positive or negative, with less than a third of states citing specific drugs. Collection of personal identifiers is required in all crash and PDMP databases, suggesting high potential for effective linkage.Conclusions: Lack of integration between crash and PDMP databases hinders advancement of the evidence base on the interconnected causes of unintentional injury death. While crash reports and PDMPs possess their own sets of strengths andweaknesses, linkage of these two data sources could fill critical research gaps' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Impairment; Opioid; PDMP; Police crash data; Road safety+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Opioids at the Health and Transportation Safety Nexus' Description:'Background: Drug overdoses and motor vehicle (MV) crashes are leading causes of unintentional injury death in the US, resulting in over 100,000 fatalities in 2017. Research has established that opioids affect driving ability and that crash-related injuries often result in opioid prescribing. Despite known associations, current approaches for studying these intertwined public health problems typically involve separate analyses using discrete databases. Purpose: To assess collection of relevant data elements and evaluate the linkage potential of prescription drug monitoring programs (PDMP) with crash databases, and to determine knowledge gaps that can be addressed through effective linkage.Methods: Standardized templates were used to abstract specific data elements and attributes of MV crash and PDMP databases for all 50 states and DC. Abstracted PDMP elements included accessibility of PDMP data and schedules of controlled substances monitored in each state, while crash-related elements included whether crash reports document the type of drug test administered at the scene and the granularity of test results recorded.Results: A majority of PDMPs (94%) are authorized to release data for research purposes. Schedules II-V controlled substances are tracked in 76% of PDMPs, with the remaining tracking II-IV. Drug-related elements captured in crash reports varied considerably by state. Eighty-six percent of states document the type of drug test administered; however, 54% of states only record whether a drug test was positive or negative, with less than a third of states citing specific drugs. Collection of personal identifiers is required in all crash and PDMP databases, suggesting high potential for effective linkage.Conclusions: Lack of integration between crash and PDMP databases hinders advancement of the evidence base on the interconnected causes of unintentional injury death. While crash reports and PDMPs possess their own sets of strengths andweaknesses, linkage of these two data sources could fill critical research gaps' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background: Drug overdoses and motor vehicle (MV) crashes are leading causes of unintentional injury death in the US, resulting in over 100,000 fatalities in 2017. Research has established that opioids affect driving ability and that crash-related injuries often result in opioid prescribing. Despite known associations, current approaches for studying these intertwined public health problems typically involve separate analyses using discrete databases. Purpose: To assess collection of relevant data elements and evaluate the linkage potential of prescription drug monitoring programs (PDMP) with crash databases, and to determine knowledge gaps that can be addressed through effective linkage.Methods: Standardized templates were used to abstract specific data elements and attributes of MV crash and PDMP databases for all 50 states and DC. Abstracted PDMP elements included accessibility of PDMP data and schedules of controlled substances monitored in each state, while crash-related elements included whether crash reports document the type of drug test administered at the scene and the granularity of test results recorded.Results: A majority of PDMPs (94%) are authorized to release data for research purposes. Schedules II-V controlled substances are tracked in 76% of PDMPs, with the remaining tracking II-IV. Drug-related elements captured in crash reports varied considerably by state. Eighty-six percent of states document the type of drug test administered; however, 54% of states only record whether a drug test was positive or negative, with less than a third of states citing specific drugs. Collection of personal identifiers is required in all crash and PDMP databases, suggesting high potential for effective linkage.Conclusions: Lack of integration between crash and PDMP databases hinders advancement of the evidence base on the interconnected causes of unintentional injury death. While crash reports and PDMPs possess their own sets of strengths andweaknesses, linkage of these two data sources could fill critical research gaps","Subject":"Medicine, Health and Life Sciences","Keywords":"Impairment; Opioid; PDMP; Police crash data; Road safety"},{"pid":"doi:10.15139/S3/DMZK61","Title":"A Study of the Local Capacity Initiative in Uganda: Longitudinal Survey of Civil Society Organizations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Study of the Local Capacity Initiative in Uganda: Longitudinal Survey of Civil Society Organizations' Description:'The primary purpose of the Local Capacity Initiative (LCI) evaluation, including the Uganda case study, was to foster learning about how policy advocacy activities can contribute to increased access to quality HIV services for key populations and vulnerable groups. Baseline and endline surveys were conducted with staff from 15 participating civil society organizations (CSOs). The survey measured skill transfer as a result of various trainings (strategic planning, legal and policy audit, use of community score cards) including knowledge in these areas, self-efficacy to conduct related activities, and actual participation in policy advocacy activities.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Civil society organizations; CSOs; HIV; Key populations; Uganda; Vulnerable groups+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Study of the Local Capacity Initiative in Uganda: Longitudinal Survey of Civil Society Organizations' Description:'The primary purpose of the Local Capacity Initiative (LCI) evaluation, including the Uganda case study, was to foster learning about how policy advocacy activities can contribute to increased access to quality HIV services for key populations and vulnerable groups. Baseline and endline surveys were conducted with staff from 15 participating civil society organizations (CSOs). The survey measured skill transfer as a result of various trainings (strategic planning, legal and policy audit, use of community score cards) including knowledge in these areas, self-efficacy to conduct related activities, and actual participation in policy advocacy activities.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The primary purpose of the Local Capacity Initiative (LCI) evaluation, including the Uganda case study, was to foster learning about how policy advocacy activities can contribute to increased access to quality HIV services for key populations and vulnerable groups. Baseline and endline surveys were conducted with staff from 15 participating civil society organizations (CSOs). The survey measured skill transfer as a result of various trainings (strategic planning, legal and policy audit, use of community score cards) including knowledge in these areas, self-efficacy to conduct related activities, and actual participation in policy advocacy activities.","Subject":"Medicine, Health and Life Sciences","Keywords":"Civil society organizations; CSOs; HIV; Key populations; Uganda; Vulnerable groups"},{"pid":"doi:10.15139/S3/DVEI9A","Title":"Bangladesh Adolescent Health and Welfare Survey (BAHWS) 2019-2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Bangladesh Adolescent Health and Welfare Survey (BAHWS) 2019-2020' Description:'The primary objective of the Bangladesh Adolescent Health and Wellbeing Survey (BAHWS) 2019-20 was to examine and better understand the state of health and wellbeing of male and female adolescents ages 15-19 years in the country.The survey was conducted with a nationally representative sample of 72,800 households, and 67,093 households (98%) were successfully interviewed. A total of 4,926 ever-married female (97% response rate), 7,800 unmarriedfemale (94% response rate), and 5,523 unmarried male (85% response rate) adolescents ages 15-19 were successfully interviewed from the selected households using three types of individual questionnaires (ever-married female adolescents, unmarried female adolescents, and unmarried male adolescents) that were piloted before data collection began. Data collection occurred in five phases, with each phase taking approximately four weeks to complete. Data collection started on July 25, 2019 and was completed on January 10, 2020.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {adolescent health+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Bangladesh Adolescent Health and Welfare Survey (BAHWS) 2019-2020' Description:'The primary objective of the Bangladesh Adolescent Health and Wellbeing Survey (BAHWS) 2019-20 was to examine and better understand the state of health and wellbeing of male and female adolescents ages 15-19 years in the country.The survey was conducted with a nationally representative sample of 72,800 households, and 67,093 households (98%) were successfully interviewed. A total of 4,926 ever-married female (97% response rate), 7,800 unmarriedfemale (94% response rate), and 5,523 unmarried male (85% response rate) adolescents ages 15-19 were successfully interviewed from the selected households using three types of individual questionnaires (ever-married female adolescents, unmarried female adolescents, and unmarried male adolescents) that were piloted before data collection began. Data collection occurred in five phases, with each phase taking approximately four weeks to complete. Data collection started on July 25, 2019 and was completed on January 10, 2020.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The primary objective of the Bangladesh Adolescent Health and Wellbeing Survey (BAHWS) 2019-20 was to examine and better understand the state of health and wellbeing of male and female adolescents ages 15-19 years in the country.The survey was conducted with a nationally representative sample of 72,800 households, and 67,093 households (98%) were successfully interviewed. A total of 4,926 ever-married female (97% response rate), 7,800 unmarriedfemale (94% response rate), and 5,523 unmarried male (85% response rate) adolescents ages 15-19 were successfully interviewed from the selected households using three types of individual questionnaires (ever-married female adolescents, unmarried female adolescents, and unmarried male adolescents) that were piloted before data collection began. Data collection occurred in five phases, with each phase taking approximately four weeks to complete. Data collection started on July 25, 2019 and was completed on January 10, 2020.","Subject":"Medicine, Health and Life Sciences","Keywords":"adolescent health"},{"pid":"doi:10.15139/S3/EAAIVU","Title":"TAS Strengthening in Tanzania","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TAS Strengthening in Tanzania' Description:'Research Objectives: 1)To test the sensitivity of the Transmission Assessment Survey (TAS) for detecting evidence of recent lymphatic filariasis transmission in an evaluation unit (EU). 2) To determine if the TAS can be used to identify micro-foci of transmission at the census enumeration area.3) To use the TAS platform to detect a change in the prevalence of LF antibodies over time.4) To estimate the EU prevalence of Onchocerca volvulus Ov16 antibodies.'' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Filariasis Test Strip (FTS); Lymphatic Filariasis; Onchocerciasis; Ov16 ELISA; Ov16 RDT; Wb123 ELISA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TAS Strengthening in Tanzania' Description:'Research Objectives: 1)To test the sensitivity of the Transmission Assessment Survey (TAS) for detecting evidence of recent lymphatic filariasis transmission in an evaluation unit (EU). 2) To determine if the TAS can be used to identify micro-foci of transmission at the census enumeration area.3) To use the TAS platform to detect a change in the prevalence of LF antibodies over time.4) To estimate the EU prevalence of Onchocerca volvulus Ov16 antibodies.'' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Objectives: 1)To test the sensitivity of the Transmission Assessment Survey (TAS) for detecting evidence of recent lymphatic filariasis transmission in an evaluation unit (EU). 2) To determine if the TAS can be used to identify micro-foci of transmission at the census enumeration area.3) To use the TAS platform to detect a change in the prevalence of LF antibodies over time.4) To estimate the EU prevalence of Onchocerca volvulus Ov16 antibodies.'","Subject":"Medicine, Health and Life Sciences","Keywords":"Filariasis Test Strip (FTS); Lymphatic Filariasis; Onchocerciasis; Ov16 ELISA; Ov16 RDT; Wb123 ELISA"},{"pid":"doi:10.15139/S3/EKDFDL","Title":"Data for: Caregiver social support and child toilet training in rural Odisha, India: what types of support facilitate training and how?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for: Caregiver social support and child toilet training in rural Odisha, India: what types of support facilitate training and how?' Description:'De-identified data for 'Sclar, G.D. & Mosler, H-J. Caregiver social support and child toilet training in rural Odisha, India: what types of support facilitate training and how? Applied Psychology: Health and Well-being.' This cross-sectional study examined the role of social support in child toilet training using mediation and conditional process analyses. The dataset includes survey responses from caregivers of children assistant Answer : {perceived stress; self-efficacy; social support; toilet training+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for: Caregiver social support and child toilet training in rural Odisha, India: what types of support facilitate training and how?' Description:'De-identified data for 'Sclar, G.D. & Mosler, H-J. Caregiver social support and child toilet training in rural Odisha, India: what types of support facilitate training and how? Applied Psychology: Health and Well-being.' This cross-sectional study examined the role of social support in child toilet training using mediation and conditional process analyses. The dataset includes survey responses from caregivers of children <5 years old living in Ganjam and Gajapati districts in Odisha, India. Data was collected between December 2019 - February 2020.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"De-identified data for 'Sclar, G.D. & Mosler, H-J. Caregiver social support and child toilet training in rural Odisha, India: what types of support facilitate training and how? Applied Psychology: Health and Well-being.' This cross-sectional study examined the role of social support in child toilet training using mediation and conditional process analyses. The dataset includes survey responses from caregivers of children <5 years old living in Ganjam and Gajapati districts in Odisha, India. Data was collected between December 2019 - February 2020.","Subject":"Medicine, Health and Life Sciences","Keywords":"perceived stress; self-efficacy; social support; toilet training"},{"pid":"doi:10.15139/S3/FIKOH4","Title":"Data for RICHS Placental lncRNA expression associated with placental cadmium concentrations and birth weight","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for RICHS Placental lncRNA expression associated with placental cadmium concentrations and birth weight' Description:'Background: Prenatal heavy metal exposures, such as cadmium, can have negative effects on infant birth weight – among other developmental outcomes – with placental dysfunction potentially playing a role in these effects. In this study, we examined how differential placental expression of long non-coding RNAs (lncRNAs) may be associated with cadmium exposure and whether differences in the expression of those lncRNAs was associated with fetal growth.Methods: In the Rhode Island Child Health Study (RICHS) we used data from whole transcriptome RNA sequencing (n=199) to examine the association between lncRNA expression and measures of infant birth weight as well as placental cadmium concentrations.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {birth weight; cadmium; RNA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for RICHS Placental lncRNA expression associated with placental cadmium concentrations and birth weight' Description:'Background: Prenatal heavy metal exposures, such as cadmium, can have negative effects on infant birth weight – among other developmental outcomes – with placental dysfunction potentially playing a role in these effects. In this study, we examined how differential placental expression of long non-coding RNAs (lncRNAs) may be associated with cadmium exposure and whether differences in the expression of those lncRNAs was associated with fetal growth.Methods: In the Rhode Island Child Health Study (RICHS) we used data from whole transcriptome RNA sequencing (n=199) to examine the association between lncRNA expression and measures of infant birth weight as well as placental cadmium concentrations.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background: Prenatal heavy metal exposures, such as cadmium, can have negative effects on infant birth weight – among other developmental outcomes – with placental dysfunction potentially playing a role in these effects. In this study, we examined how differential placental expression of long non-coding RNAs (lncRNAs) may be associated with cadmium exposure and whether differences in the expression of those lncRNAs was associated with fetal growth.Methods: In the Rhode Island Child Health Study (RICHS) we used data from whole transcriptome RNA sequencing (n=199) to examine the association between lncRNA expression and measures of infant birth weight as well as placental cadmium concentrations.","Subject":"Medicine, Health and Life Sciences","Keywords":"birth weight; cadmium; RNA"},{"pid":"doi:10.15139/S3/FUC5EW","Title":"Data for Placental microRNA Expression Associates with Birthweight through Control of Adipokines: Results from Two Independent Cohorts","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for Placental microRNA Expression Associates with Birthweight through Control of Adipokines: Results from Two Independent Cohorts' Description:'MicroRNAs are non-coding RNAs that regulate gene expression post-transcriptionally. In the placenta, the master regulator of fetal growth and development, microRNAs shape the basic processes of trophoblast biology and specific microRNA have been associated with fetal growth. To comprehensively assess the role of microRNAs in placental function and fetal development, we have performed small RNA sequencing to profile placental microRNAs from two independent mother-infant cohorts: the Rhode Island Child Health Study (n=225) and the New Hampshire Birth Cohort Study (n=317). We modeled microRNA counts on infant birthweight percentile (BWP) in each cohort, while accounting for race, sex, parity and technical factors, using negative binomial generalized linear models.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {birthweight; microRNA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for Placental microRNA Expression Associates with Birthweight through Control of Adipokines: Results from Two Independent Cohorts' Description:'MicroRNAs are non-coding RNAs that regulate gene expression post-transcriptionally. In the placenta, the master regulator of fetal growth and development, microRNAs shape the basic processes of trophoblast biology and specific microRNA have been associated with fetal growth. To comprehensively assess the role of microRNAs in placental function and fetal development, we have performed small RNA sequencing to profile placental microRNAs from two independent mother-infant cohorts: the Rhode Island Child Health Study (n=225) and the New Hampshire Birth Cohort Study (n=317). We modeled microRNA counts on infant birthweight percentile (BWP) in each cohort, while accounting for race, sex, parity and technical factors, using negative binomial generalized linear models.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"MicroRNAs are non-coding RNAs that regulate gene expression post-transcriptionally. In the placenta, the master regulator of fetal growth and development, microRNAs shape the basic processes of trophoblast biology and specific microRNA have been associated with fetal growth. To comprehensively assess the role of microRNAs in placental function and fetal development, we have performed small RNA sequencing to profile placental microRNAs from two independent mother-infant cohorts: the Rhode Island Child Health Study (n=225) and the New Hampshire Birth Cohort Study (n=317). We modeled microRNA counts on infant birthweight percentile (BWP) in each cohort, while accounting for race, sex, parity and technical factors, using negative binomial generalized linear models.","Subject":"Medicine, Health and Life Sciences","Keywords":"birthweight; microRNA"},{"pid":"doi:10.15139/S3/GKH2QD","Title":"CHAMPS De-identified Dataset, v4.2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CHAMPS De-identified Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, de-identified CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. One new column (site_iso_code) was added to this dataset to the file CHAMPS_deid_basic_demographics.csv. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Diseases; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CHAMPS De-identified Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, de-identified CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. One new column (site_iso_code) was added to this dataset to the file CHAMPS_deid_basic_demographics.csv. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, de-identified CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. One new column (site_iso_code) was added to this dataset to the file CHAMPS_deid_basic_demographics.csv. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.","Subject":"Medicine, Health and Life Sciences","Keywords":"Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Diseases; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries"},{"pid":"doi:10.15139/S3/GTCNT3","Title":"Dorothea Dix Hospital Records Collection, 1856-1919","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dorothea Dix Hospital Records Collection, 1856-1919' Description:'This collection contains photos of the original, handwritten admissions ledgers (1856-1920--), general case histories (1887-1920--), and typescripts of medical staff meetings (1916-1917) held at the State Archives of North Carolina. All these records are publicly available under the North Carolina Public Records Act, which provides that state records created at least 100 years ago may be accessed and copied by the public. The admissions ledgers (Vols 1, 2, and 3), General Case Books (Vols 13-32), and Medical Meeting Minutes (Vol 9) were originally the property of Dorothea Dix Hospital (1959), also known as the North Carolina Asylum for the Insane (1856), the North Carolina Insane Asylum (1879), the Central Hospital for the Insane (1897), and the State Hospital at Raleigh (1899). As per historical finding aid at the State Archives of North Carolina (1977), an admissions log (aka admissions ledger) was maintained from the opening of the hospital in 1856 to 1937 (Vol. 1: 1856-1911; Vol. 2: 1911-1929; Vol. 3: 1929-1937). For the period relevant here (1856-1920), this was a hand-written ledger recording both the admission (with identifying admissions number) and disposition (discharged, transferred, escaped [eloped], death) of each patient—more than 7200 admissions. The ledgers are organized as a 19th century version of a modern spreadsheet: each row is a patient, and each column an attribute. Information about each patient includes gender, age, marital status, county of residence, “supposed cause” of admission, form (diagnosis), and condition at discharge. A “free text” field provides cause of death and, in some cases, purported hereditary links.In 2017-18, these records were photographed by the Community Histories Workshop and transcribed by undergraduate research fellows of the CHW, under the supervision of Sarah Almond, Assistant Director of the CHW (2018-20). A database was created from the records, providing the first alphabetical index for patients admitted at least 100 years ago. For further information on the dataset created from these records, see Dix Hospital Admissions Ledger Dataset, Patients 0000-7827 (https://doi.org/10.15139/S3/LNTB9R). As per the historical finding aid at the State Archives of North Carolina (1977): General Case Books (1887-1920, Vols 13-32) are large format (11”x14”) printed intake forms created upon admission of a patient to the hospital. They contain information about patients unavailable in any other record collection: family history, personal and and medical history, results of a physical examination, and symptomatic expressions (manifestations) of the “supposed cause” of admission. For the first years these records were kept, there are also treatment notes, some of them quite extensive. However, such notes were kept only sporadically after the early 1890s. Staff Clinical Notes (1916-1917, Vol 9) are typed minutes of regular (sometimes daily) meetings of the hospital’s medical staff photographed from the original typescript held by the State Archives of North Carolina. Meetings begin with discussion of operational matters, including staffing, deaths and sicknesses, escapes (elopements), and contagious diseases present in the hospital. They also reveal journal articles being read by the staff from the hospital’s library, many of the from the American Journal of Insanity. They conclude with unredacted transcripts of brief interviews with recently admitted patients, intended to confirm or (much less frequently) contest provisional diagnoses made at the time of admission. In some cases, interviews were used to determine suitability for outright or provisional discharge. The General Case Books have not been transcribed, nor have redacted versions been prepared. The typescript Clinical Staff Notes were scanned as PDFs by SANC. They are unredacted and contain both patient names and admission numbers.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {History of Medicine; Mental illness; Mental illness-diagnosis; Mentally ill--Care--North Carolina; Psychiatric hospital patients; Psychiatric hospitals; Psychiatric hospitals--North Carolina--Raleigh; Psychiatric hospitals--Records+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dorothea Dix Hospital Records Collection, 1856-1919' Description:'This collection contains photos of the original, handwritten admissions ledgers (1856-1920--), general case histories (1887-1920--), and typescripts of medical staff meetings (1916-1917) held at the State Archives of North Carolina. All these records are publicly available under the North Carolina Public Records Act, which provides that state records created at least 100 years ago may be accessed and copied by the public. The admissions ledgers (Vols 1, 2, and 3), General Case Books (Vols 13-32), and Medical Meeting Minutes (Vol 9) were originally the property of Dorothea Dix Hospital (1959), also known as the North Carolina Asylum for the Insane (1856), the North Carolina Insane Asylum (1879), the Central Hospital for the Insane (1897), and the State Hospital at Raleigh (1899). As per historical finding aid at the State Archives of North Carolina (1977), an admissions log (aka admissions ledger) was maintained from the opening of the hospital in 1856 to 1937 (Vol. 1: 1856-1911; Vol. 2: 1911-1929; Vol. 3: 1929-1937). For the period relevant here (1856-1920), this was a hand-written ledger recording both the admission (with identifying admissions number) and disposition (discharged, transferred, escaped [eloped], death) of each patient—more than 7200 admissions. The ledgers are organized as a 19th century version of a modern spreadsheet: each row is a patient, and each column an attribute. Information about each patient includes gender, age, marital status, county of residence, “supposed cause” of admission, form (diagnosis), and condition at discharge. A “free text” field provides cause of death and, in some cases, purported hereditary links.In 2017-18, these records were photographed by the Community Histories Workshop and transcribed by undergraduate research fellows of the CHW, under the supervision of Sarah Almond, Assistant Director of the CHW (2018-20). A database was created from the records, providing the first alphabetical index for patients admitted at least 100 years ago. For further information on the dataset created from these records, see Dix Hospital Admissions Ledger Dataset, Patients 0000-7827 (https://doi.org/10.15139/S3/LNTB9R). As per the historical finding aid at the State Archives of North Carolina (1977): General Case Books (1887-1920, Vols 13-32) are large format (11”x14”) printed intake forms created upon admission of a patient to the hospital. They contain information about patients unavailable in any other record collection: family history, personal and and medical history, results of a physical examination, and symptomatic expressions (manifestations) of the “supposed cause” of admission. For the first years these records were kept, there are also treatment notes, some of them quite extensive. However, such notes were kept only sporadically after the early 1890s. Staff Clinical Notes (1916-1917, Vol 9) are typed minutes of regular (sometimes daily) meetings of the hospital’s medical staff photographed from the original typescript held by the State Archives of North Carolina. Meetings begin with discussion of operational matters, including staffing, deaths and sicknesses, escapes (elopements), and contagious diseases present in the hospital. They also reveal journal articles being read by the staff from the hospital’s library, many of the from the American Journal of Insanity. They conclude with unredacted transcripts of brief interviews with recently admitted patients, intended to confirm or (much less frequently) contest provisional diagnoses made at the time of admission. In some cases, interviews were used to determine suitability for outright or provisional discharge. The General Case Books have not been transcribed, nor have redacted versions been prepared. The typescript Clinical Staff Notes were scanned as PDFs by SANC. They are unredacted and contain both patient names and admission numbers.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This collection contains photos of the original, handwritten admissions ledgers (1856-1920--), general case histories (1887-1920--), and typescripts of medical staff meetings (1916-1917) held at the State Archives of North Carolina. All these records are publicly available under the North Carolina Public Records Act, which provides that state records created at least 100 years ago may be accessed and copied by the public. The admissions ledgers (Vols 1, 2, and 3), General Case Books (Vols 13-32), and Medical Meeting Minutes (Vol 9) were originally the property of Dorothea Dix Hospital (1959), also known as the North Carolina Asylum for the Insane (1856), the North Carolina Insane Asylum (1879), the Central Hospital for the Insane (1897), and the State Hospital at Raleigh (1899). As per historical finding aid at the State Archives of North Carolina (1977), an admissions log (aka admissions ledger) was maintained from the opening of the hospital in 1856 to 1937 (Vol. 1: 1856-1911; Vol. 2: 1911-1929; Vol. 3: 1929-1937). For the period relevant here (1856-1920), this was a hand-written ledger recording both the admission (with identifying admissions number) and disposition (discharged, transferred, escaped [eloped], death) of each patient—more than 7200 admissions. The ledgers are organized as a 19th century version of a modern spreadsheet: each row is a patient, and each column an attribute. Information about each patient includes gender, age, marital status, county of residence, “supposed cause” of admission, form (diagnosis), and condition at discharge. A “free text” field provides cause of death and, in some cases, purported hereditary links.In 2017-18, these records were photographed by the Community Histories Workshop and transcribed by undergraduate research fellows of the CHW, under the supervision of Sarah Almond, Assistant Director of the CHW (2018-20). A database was created from the records, providing the first alphabetical index for patients admitted at least 100 years ago. For further information on the dataset created from these records, see Dix Hospital Admissions Ledger Dataset, Patients 0000-7827 (https://doi.org/10.15139/S3/LNTB9R). As per the historical finding aid at the State Archives of North Carolina (1977): General Case Books (1887-1920, Vols 13-32) are large format (11”x14”) printed intake forms created upon admission of a patient to the hospital. They contain information about patients unavailable in any other record collection: family history, personal and and medical history, results of a physical examination, and symptomatic expressions (manifestations) of the “supposed cause” of admission. For the first years these records were kept, there are also treatment notes, some of them quite extensive. However, such notes were kept only sporadically after the early 1890s. Staff Clinical Notes (1916-1917, Vol 9) are typed minutes of regular (sometimes daily) meetings of the hospital’s medical staff photographed from the original typescript held by the State Archives of North Carolina. Meetings begin with discussion of operational matters, including staffing, deaths and sicknesses, escapes (elopements), and contagious diseases present in the hospital. They also reveal journal articles being read by the staff from the hospital’s library, many of the from the American Journal of Insanity. They conclude with unredacted transcripts of brief interviews with recently admitted patients, intended to confirm or (much less frequently) contest provisional diagnoses made at the time of admission. In some cases, interviews were used to determine suitability for outright or provisional discharge. The General Case Books have not been transcribed, nor have redacted versions been prepared. The typescript Clinical Staff Notes were scanned as PDFs by SANC. They are unredacted and contain both patient names and admission numbers.","Subject":" Medicine, Health and Life Sciences","Keywords":"History of Medicine; Mental illness; Mental illness-diagnosis; Mentally ill--Care--North Carolina; Psychiatric hospital patients; Psychiatric hospitals; Psychiatric hospitals--North Carolina--Raleigh; Psychiatric hospitals--Records"},{"pid":"doi:10.15139/S3/HEDVDZ","Title":"Main Effects","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Main Effects' Description:'This dataset covers our main experiment from Aim 2 and Aim 3 of the project.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cigarette; marketing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Main Effects' Description:'This dataset covers our main experiment from Aim 2 and Aim 3 of the project.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset covers our main experiment from Aim 2 and Aim 3 of the project.","Subject":"Medicine, Health and Life Sciences","Keywords":"cigarette; marketing"},{"pid":"doi:10.15139/S3/IAKUQN","Title":"Advancing cancer prevention: Optimizing messages","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Advancing cancer prevention: Optimizing messages' Description:'This is a multi-site study funded by Cancer Research UK through a Cancer Research UK/National Cancer Institute Knowledge Integration Sandpit. Half of the qualitative interviews will be conducted by ECU. The main quantitative survey will be conducted by ECU. Qualitative analysis will be conducted by University of Glasgow. The qualitative study will inform the design of the quantitative study. Quantitative analysis will be conducted by Florida International University. University College London will conduct a small pilot experiment also using Qualtrics Panels. BACKGROUNDTobacco, alcohol, and sugar consumption contribute to cancer burden. An evidence-based population-level intervention to reduce intake of tobacco, alcohol, and sugar-added products is the implementation of policies that increase their price. This can be done through excise taxes, mitigation fees, bans on discounts, and minimum prices. Yet, the adoption of these evidence-based policies has received only limited traction, and public support is undermined by industry-led efforts to oppose policy interventions. This proposal is guided by a working hypothesis that public acceptance of different tax and non-tax pricing interventions for cancer risk behaviors varies by: (a) policy type, (b) the way the message is framed, and (c) the cancer-causing product it addresses.AIMSWe examine this working hypothesis through specific aims to: (1) identify and optimize ways to communicate price policy options for cancer-causing products to the public and (2) explore the effects of policy type, frames, and behavioural domain on public policy support.PARTICIPANTSParticipants in the interview stage (qualitative) will be: 6 members of the public, 6 cancer survivors, and 6 cancer policy advocates – half of each stakeholder group will be in each country. Participants in the quantitative study will be solicited by Qualtrics's Survey Panels service (n=1800).METHODSThis project will use a mixed-methods approach to understand the framing of tax and non- tax pricing policy interventions to reduce consumption of cancer-causing products. We will conduct formative qualitative research with stakeholders, identify frames to test, and pilot the frames in a quantitative study. We will then implement a 3x3x4 factorial experiment to assess the impact of the frames, cancer-causing products discussed, and pricing policy options on support for policies among UK and US adults.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cancer; communications; message framing; price promotions+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Advancing cancer prevention: Optimizing messages' Description:'This is a multi-site study funded by Cancer Research UK through a Cancer Research UK/National Cancer Institute Knowledge Integration Sandpit. Half of the qualitative interviews will be conducted by ECU. The main quantitative survey will be conducted by ECU. Qualitative analysis will be conducted by University of Glasgow. The qualitative study will inform the design of the quantitative study. Quantitative analysis will be conducted by Florida International University. University College London will conduct a small pilot experiment also using Qualtrics Panels. BACKGROUNDTobacco, alcohol, and sugar consumption contribute to cancer burden. An evidence-based population-level intervention to reduce intake of tobacco, alcohol, and sugar-added products is the implementation of policies that increase their price. This can be done through excise taxes, mitigation fees, bans on discounts, and minimum prices. Yet, the adoption of these evidence-based policies has received only limited traction, and public support is undermined by industry-led efforts to oppose policy interventions. This proposal is guided by a working hypothesis that public acceptance of different tax and non-tax pricing interventions for cancer risk behaviors varies by: (a) policy type, (b) the way the message is framed, and (c) the cancer-causing product it addresses.AIMSWe examine this working hypothesis through specific aims to: (1) identify and optimize ways to communicate price policy options for cancer-causing products to the public and (2) explore the effects of policy type, frames, and behavioural domain on public policy support.PARTICIPANTSParticipants in the interview stage (qualitative) will be: 6 members of the public, 6 cancer survivors, and 6 cancer policy advocates – half of each stakeholder group will be in each country. Participants in the quantitative study will be solicited by Qualtrics's Survey Panels service (n=1800).METHODSThis project will use a mixed-methods approach to understand the framing of tax and non- tax pricing policy interventions to reduce consumption of cancer-causing products. We will conduct formative qualitative research with stakeholders, identify frames to test, and pilot the frames in a quantitative study. We will then implement a 3x3x4 factorial experiment to assess the impact of the frames, cancer-causing products discussed, and pricing policy options on support for policies among UK and US adults.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a multi-site study funded by Cancer Research UK through a Cancer Research UK/National Cancer Institute Knowledge Integration Sandpit. Half of the qualitative interviews will be conducted by ECU. The main quantitative survey will be conducted by ECU. Qualitative analysis will be conducted by University of Glasgow. The qualitative study will inform the design of the quantitative study. Quantitative analysis will be conducted by Florida International University. University College London will conduct a small pilot experiment also using Qualtrics Panels. BACKGROUNDTobacco, alcohol, and sugar consumption contribute to cancer burden. An evidence-based population-level intervention to reduce intake of tobacco, alcohol, and sugar-added products is the implementation of policies that increase their price. This can be done through excise taxes, mitigation fees, bans on discounts, and minimum prices. Yet, the adoption of these evidence-based policies has received only limited traction, and public support is undermined by industry-led efforts to oppose policy interventions. This proposal is guided by a working hypothesis that public acceptance of different tax and non-tax pricing interventions for cancer risk behaviors varies by: (a) policy type, (b) the way the message is framed, and (c) the cancer-causing product it addresses.AIMSWe examine this working hypothesis through specific aims to: (1) identify and optimize ways to communicate price policy options for cancer-causing products to the public and (2) explore the effects of policy type, frames, and behavioural domain on public policy support.PARTICIPANTSParticipants in the interview stage (qualitative) will be: 6 members of the public, 6 cancer survivors, and 6 cancer policy advocates – half of each stakeholder group will be in each country. Participants in the quantitative study will be solicited by Qualtrics's Survey Panels service (n=1800).METHODSThis project will use a mixed-methods approach to understand the framing of tax and non- tax pricing policy interventions to reduce consumption of cancer-causing products. We will conduct formative qualitative research with stakeholders, identify frames to test, and pilot the frames in a quantitative study. We will then implement a 3x3x4 factorial experiment to assess the impact of the frames, cancer-causing products discussed, and pricing policy options on support for policies among UK and US adults.","Subject":"Medicine, Health and Life Sciences","Keywords":"cancer; communications; message framing; price promotions"},{"pid":"doi:10.15139/S3/IGSF54","Title":"Continuous quality improvement of safe water storage containers: a cluster randomized trial in rural Burkina Faso","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Continuous quality improvement of safe water storage containers: a cluster randomized trial in rural Burkina Faso' Description:'Safe storage protects household drinking water from contamination, maintaining water quality and preventing diarrheal and other water-borne diseases. However, achieving high adoption and sustained used of safe storage is challenging. We developed a safe water storage container (SWSC) intervention using the Lean Six Sigma continuous quality improvement framework in rural Ghana to optimize adoption and water quality, and subsequently adapted the SWSC for implementation in Burkina Faso. This study reports the impacts of the adapted Burkinabe SWSC on Escherichia coli contamination in household stored water in a cluster randomized trial with 49 intervention villages (274 households) and 50 no-intervention control (290 households).Metadata is included as the first sheet of the Excel file. This trial was funded by WaterAid and the Conrad N. Hilton Foundation.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {water quality, safe storage, WaSH, continuous quality improvement, CQI, adaptation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Continuous quality improvement of safe water storage containers: a cluster randomized trial in rural Burkina Faso' Description:'Safe storage protects household drinking water from contamination, maintaining water quality and preventing diarrheal and other water-borne diseases. However, achieving high adoption and sustained used of safe storage is challenging. We developed a safe water storage container (SWSC) intervention using the Lean Six Sigma continuous quality improvement framework in rural Ghana to optimize adoption and water quality, and subsequently adapted the SWSC for implementation in Burkina Faso. This study reports the impacts of the adapted Burkinabe SWSC on Escherichia coli contamination in household stored water in a cluster randomized trial with 49 intervention villages (274 households) and 50 no-intervention control (290 households).Metadata is included as the first sheet of the Excel file. This trial was funded by WaterAid and the Conrad N. Hilton Foundation.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Safe storage protects household drinking water from contamination, maintaining water quality and preventing diarrheal and other water-borne diseases. However, achieving high adoption and sustained used of safe storage is challenging. We developed a safe water storage container (SWSC) intervention using the Lean Six Sigma continuous quality improvement framework in rural Ghana to optimize adoption and water quality, and subsequently adapted the SWSC for implementation in Burkina Faso. This study reports the impacts of the adapted Burkinabe SWSC on Escherichia coli contamination in household stored water in a cluster randomized trial with 49 intervention villages (274 households) and 50 no-intervention control (290 households).Metadata is included as the first sheet of the Excel file. This trial was funded by WaterAid and the Conrad N. Hilton Foundation.","Subject":"Medicine, Health and Life Sciences","Keywords":"water quality, safe storage, WaSH, continuous quality improvement, CQI, adaptation"},{"pid":"doi:10.15139/S3/IGWLMU","Title":"Patient Education Materials","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Patient Education Materials' Description:'Patient Education Materials collected and stored (with permission) as part of the 'Addressing migrant and seasonal farmworker health disparities with information resources' project.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {farmworkers; patient education materials+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Patient Education Materials' Description:'Patient Education Materials collected and stored (with permission) as part of the 'Addressing migrant and seasonal farmworker health disparities with information resources' project.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Patient Education Materials collected and stored (with permission) as part of the 'Addressing migrant and seasonal farmworker health disparities with information resources' project.","Subject":"Medicine, Health and Life Sciences","Keywords":"farmworkers; patient education materials"},{"pid":"doi:10.15139/S3/IURHL6","Title":"TB/HIV-Mobility Study in East Africa","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TB/HIV-Mobility Study in East Africa' Description:'These data were collected for a 2019 study to understand mobility patterns, treatment outcomes, and the feasibility of regional tracing strategies among patients in care for HIV and/or TB in the Lake Victoria region. The study was funded by the United States Agency for International Development and the United States President’s Emergency Plan for AIDS Relief and was led by MEASURE Evaluation in collaboration with local partners from the Lake Victoria Consortium for Health Research: Uganda Virus Research Institute and the International AIDS Vaccine Initiative; Kenya Medical Research Institute; Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene and Tropical Medicine; and the Mwanza Intervention Trials Unit.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {East Africa; Facility-based survey; Facility data; HIV; Morbility; TB+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TB/HIV-Mobility Study in East Africa' Description:'These data were collected for a 2019 study to understand mobility patterns, treatment outcomes, and the feasibility of regional tracing strategies among patients in care for HIV and/or TB in the Lake Victoria region. The study was funded by the United States Agency for International Development and the United States President’s Emergency Plan for AIDS Relief and was led by MEASURE Evaluation in collaboration with local partners from the Lake Victoria Consortium for Health Research: Uganda Virus Research Institute and the International AIDS Vaccine Initiative; Kenya Medical Research Institute; Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene and Tropical Medicine; and the Mwanza Intervention Trials Unit.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These data were collected for a 2019 study to understand mobility patterns, treatment outcomes, and the feasibility of regional tracing strategies among patients in care for HIV and/or TB in the Lake Victoria region. The study was funded by the United States Agency for International Development and the United States President’s Emergency Plan for AIDS Relief and was led by MEASURE Evaluation in collaboration with local partners from the Lake Victoria Consortium for Health Research: Uganda Virus Research Institute and the International AIDS Vaccine Initiative; Kenya Medical Research Institute; Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene and Tropical Medicine; and the Mwanza Intervention Trials Unit.","Subject":"Medicine, Health and Life Sciences","Keywords":"East Africa; Facility-based survey; Facility data; HIV; Morbility; TB"},{"pid":"doi:10.15139/S3/J6BOUB","Title":"Digital Health Literacy Community Workshop Materials","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Digital Health Literacy Community Workshop Materials' Description:'Materials inclusive of a powerpoint, handouts, and scripts in English and Spanish. Can be reused with acknowledgement of the creators and grant numbers. Use the materials to hold your own online or in person digital health literacy workshop. Original materials were generated by a partnership with NNLM All of Us and the Wisconsin Health Literacy programs.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {digital divide; health literacy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Digital Health Literacy Community Workshop Materials' Description:'Materials inclusive of a powerpoint, handouts, and scripts in English and Spanish. Can be reused with acknowledgement of the creators and grant numbers. Use the materials to hold your own online or in person digital health literacy workshop. Original materials were generated by a partnership with NNLM All of Us and the Wisconsin Health Literacy programs.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Materials inclusive of a powerpoint, handouts, and scripts in English and Spanish. Can be reused with acknowledgement of the creators and grant numbers. Use the materials to hold your own online or in person digital health literacy workshop. Original materials were generated by a partnership with NNLM All of Us and the Wisconsin Health Literacy programs.","Subject":" Medicine, Health and Life Sciences","Keywords":"digital divide; health literacy"},{"pid":"doi:10.15139/S3/JE7INQ","Title":"Development of novel survey methodology for remapping LF in low-prevalence areas","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Development of novel survey methodology for remapping LF in low-prevalence areas' Description:'Research Objectives: 1)Demonstrate the utility of a new mapping strategy based on school cluster random sampling Using PPES. 2)Assess the value of laboratory-based antibody assays as confirmatory tests and additional diagnostic tools for measuring LF transmission.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Immunochromatographic Test (ICT); Lymphatic Filariasis; Wb123 ELISA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Development of novel survey methodology for remapping LF in low-prevalence areas' Description:'Research Objectives: 1)Demonstrate the utility of a new mapping strategy based on school cluster random sampling Using PPES. 2)Assess the value of laboratory-based antibody assays as confirmatory tests and additional diagnostic tools for measuring LF transmission.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Objectives: 1)Demonstrate the utility of a new mapping strategy based on school cluster random sampling Using PPES. 2)Assess the value of laboratory-based antibody assays as confirmatory tests and additional diagnostic tools for measuring LF transmission.","Subject":"Medicine, Health and Life Sciences","Keywords":"Immunochromatographic Test (ICT); Lymphatic Filariasis; Wb123 ELISA"},{"pid":"doi:10.15139/S3/JLTQDI","Title":"North Carolina Vital Statistics -- Deaths 2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'North Carolina Vital Statistics -- Deaths 2018' Description:'The North Carolina State Center for Health Services (SCHS) collects yearly vital statistics. The Odum Institute holds vital statistics beginning in 1968 for deaths, marriages and divorce. Public marriage and divorce data are available through 1999 only. Vital statistics for births, fetal deaths, and birth/infant deaths may be obtained directly from SCHS by submitting a request to SCHS.Info@dhhs.nc.govThis study focuses on deaths in North Carolina in 2018. Death is defined as the permanent disappearance of any evidence of life at any time after live birth. This definition excludes fetal deaths. The data kept for deaths includes the age, race, marital status, and sex of the individual; date, time, cause and location of death; and mode of burial.Minor changes to the files beginning in 2014 reflect the release of an updated NC Death Certificate form in that year.The data are strictly numerical; there is no identifying information given about the individuals.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Death; Vital statistics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'North Carolina Vital Statistics -- Deaths 2018' Description:'The North Carolina State Center for Health Services (SCHS) collects yearly vital statistics. The Odum Institute holds vital statistics beginning in 1968 for deaths, marriages and divorce. Public marriage and divorce data are available through 1999 only. Vital statistics for births, fetal deaths, and birth/infant deaths may be obtained directly from SCHS by submitting a request to SCHS.Info@dhhs.nc.govThis study focuses on deaths in North Carolina in 2018. Death is defined as the permanent disappearance of any evidence of life at any time after live birth. This definition excludes fetal deaths. The data kept for deaths includes the age, race, marital status, and sex of the individual; date, time, cause and location of death; and mode of burial.Minor changes to the files beginning in 2014 reflect the release of an updated NC Death Certificate form in that year.The data are strictly numerical; there is no identifying information given about the individuals.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The North Carolina State Center for Health Services (SCHS) collects yearly vital statistics. The Odum Institute holds vital statistics beginning in 1968 for deaths, marriages and divorce. Public marriage and divorce data are available through 1999 only. Vital statistics for births, fetal deaths, and birth/infant deaths may be obtained directly from SCHS by submitting a request to SCHS.Info@dhhs.nc.govThis study focuses on deaths in North Carolina in 2018. Death is defined as the permanent disappearance of any evidence of life at any time after live birth. This definition excludes fetal deaths. The data kept for deaths includes the age, race, marital status, and sex of the individual; date, time, cause and location of death; and mode of burial.Minor changes to the files beginning in 2014 reflect the release of an updated NC Death Certificate form in that year.The data are strictly numerical; there is no identifying information given about the individuals.","Subject":"Medicine, Health and Life Sciences","Keywords":"Death; Vital statistics"},{"pid":"doi:10.15139/S3/JNW5XE","Title":"Migrant and Seasonal Farmworker Health Research Mapping Review Bibliographies","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Migrant and Seasonal Farmworker Health Research Mapping Review Bibliographies' Description:'Bibliographies from mapping review project.Research reported in this publication was supported by the National Library of Medicine of the National Institutes of Health under Award Number G08LM013198. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {farmworker; farmworkers; research+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Migrant and Seasonal Farmworker Health Research Mapping Review Bibliographies' Description:'Bibliographies from mapping review project.Research reported in this publication was supported by the National Library of Medicine of the National Institutes of Health under Award Number G08LM013198. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Bibliographies from mapping review project.Research reported in this publication was supported by the National Library of Medicine of the National Institutes of Health under Award Number G08LM013198. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.","Subject":"Medicine, Health and Life Sciences","Keywords":"farmworker; farmworkers; research"},{"pid":"doi:10.15139/S3/JUUSHC","Title":"Simulating the effect of evaluation unit size on eligibility to stop mass drug administration for lymphatic filariasis in Haiti","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Simulating the effect of evaluation unit size on eligibility to stop mass drug administration for lymphatic filariasis in Haiti' Description:'Existing guidelines for delimiting the geographic areas to conduct transmission assessment surveys (TAS) permit large evaluation units. In 2015, TASs were conducted in Haiti using more stringent criteria for forming evaluation units, resulting in much smaller geographic areas for evaluation. Using simulations, the authors found that, had Haiti followed the existing guidelines and assessed larger geographic areas, many of the areas might have been misclassified and mass drug administration would have been stopped prematurely in some settings. Simulations of mini-TAS, a strategy with smaller power and hence smaller sample size than TAS, resulted in more conservative “passing” and “failing” when implemented in original evaluation units. This research suggests that caution is needed when forming evaluation units for TAS, especially if the prevalence of lymphatic filariasis is not uniform.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Evaluation Unit; Lymphatic Filariasis; Transmission Assessment Survey+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Simulating the effect of evaluation unit size on eligibility to stop mass drug administration for lymphatic filariasis in Haiti' Description:'Existing guidelines for delimiting the geographic areas to conduct transmission assessment surveys (TAS) permit large evaluation units. In 2015, TASs were conducted in Haiti using more stringent criteria for forming evaluation units, resulting in much smaller geographic areas for evaluation. Using simulations, the authors found that, had Haiti followed the existing guidelines and assessed larger geographic areas, many of the areas might have been misclassified and mass drug administration would have been stopped prematurely in some settings. Simulations of mini-TAS, a strategy with smaller power and hence smaller sample size than TAS, resulted in more conservative “passing” and “failing” when implemented in original evaluation units. This research suggests that caution is needed when forming evaluation units for TAS, especially if the prevalence of lymphatic filariasis is not uniform.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Existing guidelines for delimiting the geographic areas to conduct transmission assessment surveys (TAS) permit large evaluation units. In 2015, TASs were conducted in Haiti using more stringent criteria for forming evaluation units, resulting in much smaller geographic areas for evaluation. Using simulations, the authors found that, had Haiti followed the existing guidelines and assessed larger geographic areas, many of the areas might have been misclassified and mass drug administration would have been stopped prematurely in some settings. Simulations of mini-TAS, a strategy with smaller power and hence smaller sample size than TAS, resulted in more conservative “passing” and “failing” when implemented in original evaluation units. This research suggests that caution is needed when forming evaluation units for TAS, especially if the prevalence of lymphatic filariasis is not uniform.","Subject":"Medicine, Health and Life Sciences","Keywords":"Evaluation Unit; Lymphatic Filariasis; Transmission Assessment Survey"},{"pid":"doi:10.15139/S3/KKQ9NE","Title":"Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke' Description:'This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Air Pollution; Biomass burns; Mixtures; Mixtures Toxicology; Pulmonary biology; Toxicity; Wildfire+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke' Description:'This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.' Subject:'Chemistry; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.","Subject":" Medicine, Health and Life Sciences","Keywords":"Air Pollution; Biomass burns; Mixtures; Mixtures Toxicology; Pulmonary biology; Toxicity; Wildfire"},{"pid":"doi:10.15139/S3/LG7N0Z","Title":"District Mapping of Onchocerciasis and Lymphatic Filariasis in Malawi: Assessing Sampling Strategies for Onchocerciasis Elimination Mapping (OEM)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'District Mapping of Onchocerciasis and Lymphatic Filariasis in Malawi: Assessing Sampling Strategies for Onchocerciasis Elimination Mapping (OEM)' Description:'As onchocerciasis programs in Africa shift from a paradigm of control to one of elimination, there is a need to determine whether transmission is ongoing in previously-untreated areas. To do so, there is a need to develop a mapping strategy that is rigorous enough to detect low levels of ongoing transmission while also using resources efficiently. A multi-country operational research study was conducted comparing sampling in purposively-selected communities, random sampling in randomly-selected communities, and random sampling in the schools in which the majority of children from the randomly-selected villages attended. In Malawi, quota sampling was used in purposively selected communities. Three districts were included in the study: Chitipa, Dedza, and Karonga. Chitipa had never previously undergone treatment with ivermectin, whereas Dedza and Karonga had previously undergone ivermectin/albendazole treatment for lymphatic filariasis. In Chitipa, the highest prevalence in a purposively-selected community was 0% by Ov16 rapid diagnostic test (RDT) and 2% by SD Bioline Ov16 ELISA, whereas the mean prevalence from random sampling was 0.1% by RDT and 5% by ELISA. In Dedza, the highest prevalence in a purposively-selected community was 2% by RDT and 36% by ELISA, whereas the mean prevalence from random sampling was 0.6% by RDT and 7% by ELISA. In Karonga, the highest prevalence in a purposively-selected community was 0% by RDT and 8% by ELISA, whereas the mean prevalence from random sampling was 0.1% by RDT and 9% by ELISA. Interpretation of results in this context is still ongoing.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Lymphatic Filariasis; Onchocerciasis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'District Mapping of Onchocerciasis and Lymphatic Filariasis in Malawi: Assessing Sampling Strategies for Onchocerciasis Elimination Mapping (OEM)' Description:'As onchocerciasis programs in Africa shift from a paradigm of control to one of elimination, there is a need to determine whether transmission is ongoing in previously-untreated areas. To do so, there is a need to develop a mapping strategy that is rigorous enough to detect low levels of ongoing transmission while also using resources efficiently. A multi-country operational research study was conducted comparing sampling in purposively-selected communities, random sampling in randomly-selected communities, and random sampling in the schools in which the majority of children from the randomly-selected villages attended. In Malawi, quota sampling was used in purposively selected communities. Three districts were included in the study: Chitipa, Dedza, and Karonga. Chitipa had never previously undergone treatment with ivermectin, whereas Dedza and Karonga had previously undergone ivermectin/albendazole treatment for lymphatic filariasis. In Chitipa, the highest prevalence in a purposively-selected community was 0% by Ov16 rapid diagnostic test (RDT) and 2% by SD Bioline Ov16 ELISA, whereas the mean prevalence from random sampling was 0.1% by RDT and 5% by ELISA. In Dedza, the highest prevalence in a purposively-selected community was 2% by RDT and 36% by ELISA, whereas the mean prevalence from random sampling was 0.6% by RDT and 7% by ELISA. In Karonga, the highest prevalence in a purposively-selected community was 0% by RDT and 8% by ELISA, whereas the mean prevalence from random sampling was 0.1% by RDT and 9% by ELISA. Interpretation of results in this context is still ongoing.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As onchocerciasis programs in Africa shift from a paradigm of control to one of elimination, there is a need to determine whether transmission is ongoing in previously-untreated areas. To do so, there is a need to develop a mapping strategy that is rigorous enough to detect low levels of ongoing transmission while also using resources efficiently. A multi-country operational research study was conducted comparing sampling in purposively-selected communities, random sampling in randomly-selected communities, and random sampling in the schools in which the majority of children from the randomly-selected villages attended. In Malawi, quota sampling was used in purposively selected communities. Three districts were included in the study: Chitipa, Dedza, and Karonga. Chitipa had never previously undergone treatment with ivermectin, whereas Dedza and Karonga had previously undergone ivermectin/albendazole treatment for lymphatic filariasis. In Chitipa, the highest prevalence in a purposively-selected community was 0% by Ov16 rapid diagnostic test (RDT) and 2% by SD Bioline Ov16 ELISA, whereas the mean prevalence from random sampling was 0.1% by RDT and 5% by ELISA. In Dedza, the highest prevalence in a purposively-selected community was 2% by RDT and 36% by ELISA, whereas the mean prevalence from random sampling was 0.6% by RDT and 7% by ELISA. In Karonga, the highest prevalence in a purposively-selected community was 0% by RDT and 8% by ELISA, whereas the mean prevalence from random sampling was 0.1% by RDT and 9% by ELISA. Interpretation of results in this context is still ongoing.","Subject":"Medicine, Health and Life Sciences","Keywords":"Lymphatic Filariasis; Onchocerciasis"},{"pid":"doi:10.15139/S3/LNTB9R","Title":"Dorothea Dix Hospital Admissions Ledger Dataset, Patients 0000-7827","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dorothea Dix Hospital Admissions Ledger Dataset, Patients 0000-7827' Description:'This dataset was transcribed from photos of the original, handwritten admissions ledgers for the North Carolina Asylum for the Insane (later known as Dorothea Dix Hospital) held at the State Archives of North Carolina. The original records are publicly available under the North Carolina Public Records Act, which indicates that records created by state government entities more than 100 years ago are publicly accessible through the State Archives of North Carolina. Historical finding aid at the State Archives of North Carolina (1977) notes that admissions ledger was maintained from the opening of the hospital in 1856 to 1937 (Vol. 1: 1856-1911; Vol. 2: 1911-1929; Vol. 3: 1929-1937). For the period relevant here (1856-1920), this was a hand-written ledger recording both the admission (with identifying admissions number) and disposition (discharged, transferred, escaped [eloped], death) of each patient—more than 7,200 admissions. The original order of the data as recorded in the admissions ledgers (Vols 1 & 2) was chronological, by admittance date. Each patient was issued a unique patient identifier upon admission to the hospital, and each admission resulted in a new patient number. As a result, repeat patients are not specifically indicated in this dataset. These admissions ledgers record personal health information such as name, county of origin, age, sex, civil condition, occupation, apparent form of mental illness, supposed cause, duration when admitted, time in the asylum, condition, and release. Race is occasionally indicated, although fewer than 50 African Americans were admitted to the hospital during the period in question. More than 100 different supposed causes were noted for patients admitted between 1856 and 1920. A controlled vocabulary was implemented in the following data fields, to aid in data visualization: Occupation, Occupation Category, Supposed Cause, Supposed Cause Category, and Form. This vocabulary was designed using historical sources such as, but not limited to, Kirchhoff's Handbook of Insanity for Practitioners and Students (1893), The Statistical Manual for the Use of Institutions for the Insane (1918), and Wines' Report on the Defective, Dependent, and Delinquent Classes of the Population of the United States as Returned at the Tenth Census (June 1, 1880). A version retaining the original entries for these fields is also available. This is as of the time of writing (May 2021) the only searchable dataset for this collection and the only alphabetic index to the collection. Additional records will be transcribed and added to the dataset as they become available. At present, the following versions of the dataset have been produced: 1. Unredacted transcription and digitization of original ledger records in spreadsheet form including patient name, admission identifier, and controlled vocabulary applied to some fields (see above).2. De-identified ledger records in spreadsheet form, first and last names omitted, numerical admission identifier preserved with controlled vocabulary imposed for some fields.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Mental illness; Mental illness--diagnosis; Psychiatric hospital patients; Psychiatric hospitals; Psychiatric hospitals--North Carolina--Raleigh; Psychiatric hospitals--Records+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dorothea Dix Hospital Admissions Ledger Dataset, Patients 0000-7827' Description:'This dataset was transcribed from photos of the original, handwritten admissions ledgers for the North Carolina Asylum for the Insane (later known as Dorothea Dix Hospital) held at the State Archives of North Carolina. The original records are publicly available under the North Carolina Public Records Act, which indicates that records created by state government entities more than 100 years ago are publicly accessible through the State Archives of North Carolina. Historical finding aid at the State Archives of North Carolina (1977) notes that admissions ledger was maintained from the opening of the hospital in 1856 to 1937 (Vol. 1: 1856-1911; Vol. 2: 1911-1929; Vol. 3: 1929-1937). For the period relevant here (1856-1920), this was a hand-written ledger recording both the admission (with identifying admissions number) and disposition (discharged, transferred, escaped [eloped], death) of each patient—more than 7,200 admissions. The original order of the data as recorded in the admissions ledgers (Vols 1 & 2) was chronological, by admittance date. Each patient was issued a unique patient identifier upon admission to the hospital, and each admission resulted in a new patient number. As a result, repeat patients are not specifically indicated in this dataset. These admissions ledgers record personal health information such as name, county of origin, age, sex, civil condition, occupation, apparent form of mental illness, supposed cause, duration when admitted, time in the asylum, condition, and release. Race is occasionally indicated, although fewer than 50 African Americans were admitted to the hospital during the period in question. More than 100 different supposed causes were noted for patients admitted between 1856 and 1920. A controlled vocabulary was implemented in the following data fields, to aid in data visualization: Occupation, Occupation Category, Supposed Cause, Supposed Cause Category, and Form. This vocabulary was designed using historical sources such as, but not limited to, Kirchhoff's Handbook of Insanity for Practitioners and Students (1893), The Statistical Manual for the Use of Institutions for the Insane (1918), and Wines' Report on the Defective, Dependent, and Delinquent Classes of the Population of the United States as Returned at the Tenth Census (June 1, 1880). A version retaining the original entries for these fields is also available. This is as of the time of writing (May 2021) the only searchable dataset for this collection and the only alphabetic index to the collection. Additional records will be transcribed and added to the dataset as they become available. At present, the following versions of the dataset have been produced: 1. Unredacted transcription and digitization of original ledger records in spreadsheet form including patient name, admission identifier, and controlled vocabulary applied to some fields (see above).2. De-identified ledger records in spreadsheet form, first and last names omitted, numerical admission identifier preserved with controlled vocabulary imposed for some fields.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset was transcribed from photos of the original, handwritten admissions ledgers for the North Carolina Asylum for the Insane (later known as Dorothea Dix Hospital) held at the State Archives of North Carolina. The original records are publicly available under the North Carolina Public Records Act, which indicates that records created by state government entities more than 100 years ago are publicly accessible through the State Archives of North Carolina. Historical finding aid at the State Archives of North Carolina (1977) notes that admissions ledger was maintained from the opening of the hospital in 1856 to 1937 (Vol. 1: 1856-1911; Vol. 2: 1911-1929; Vol. 3: 1929-1937). For the period relevant here (1856-1920), this was a hand-written ledger recording both the admission (with identifying admissions number) and disposition (discharged, transferred, escaped [eloped], death) of each patient—more than 7,200 admissions. The original order of the data as recorded in the admissions ledgers (Vols 1 & 2) was chronological, by admittance date. Each patient was issued a unique patient identifier upon admission to the hospital, and each admission resulted in a new patient number. As a result, repeat patients are not specifically indicated in this dataset. These admissions ledgers record personal health information such as name, county of origin, age, sex, civil condition, occupation, apparent form of mental illness, supposed cause, duration when admitted, time in the asylum, condition, and release. Race is occasionally indicated, although fewer than 50 African Americans were admitted to the hospital during the period in question. More than 100 different supposed causes were noted for patients admitted between 1856 and 1920. A controlled vocabulary was implemented in the following data fields, to aid in data visualization: Occupation, Occupation Category, Supposed Cause, Supposed Cause Category, and Form. This vocabulary was designed using historical sources such as, but not limited to, Kirchhoff's Handbook of Insanity for Practitioners and Students (1893), The Statistical Manual for the Use of Institutions for the Insane (1918), and Wines' Report on the Defective, Dependent, and Delinquent Classes of the Population of the United States as Returned at the Tenth Census (June 1, 1880). A version retaining the original entries for these fields is also available. This is as of the time of writing (May 2021) the only searchable dataset for this collection and the only alphabetic index to the collection. Additional records will be transcribed and added to the dataset as they become available. At present, the following versions of the dataset have been produced: 1. Unredacted transcription and digitization of original ledger records in spreadsheet form including patient name, admission identifier, and controlled vocabulary applied to some fields (see above).2. De-identified ledger records in spreadsheet form, first and last names omitted, numerical admission identifier preserved with controlled vocabulary imposed for some fields.","Subject":" Medicine, Health and Life Sciences","Keywords":"Mental illness; Mental illness--diagnosis; Psychiatric hospital patients; Psychiatric hospitals; Psychiatric hospitals--North Carolina--Raleigh; Psychiatric hospitals--Records"},{"pid":"doi:10.15139/S3/M2BCRN","Title":"Organizational Network Analysis of AGYW Referrals in Botswana","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Organizational Network Analysis of AGYW Referrals in Botswana' Description:'The Determined, Resilient, Empowered, AIDS-free, Mentored, and Safe (DREAMS) program, a public-private partnership, is being implemented by the United States Agency for International Development (USAID) in two districts of Botswana to address the structural drivers that increase Adolescent Girls and Young Women's (AGYW) HIV risk, including poverty, gender inequality, GBV, and a lack of education. To support the implementation of DREAMS activities in Gaborone and Kweneng East, USAID contracted Data for Impact (D4I), which is funded by USAID and the United States President’s Emergency Plan for AIDS Relief, to conduct a mixed-methods study in these districts to learn more about referral networks that provide AGYW with DREAMS-related services. D4I conducted an organizational network analysis (ONA) to map the referral network in use by DREAMS partners that provide the following services: HIV and GBV prevention, HIV testing, condom distribution and other family planning (FP) services, pre-exposure prophylaxis (PrEP), contraceptive services, post-GBV care services, and socioeconomic interventions.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Dreams, ONA, Organizational Network Analysis, HIV, adolescents, girls, women, gender based violence, GBV+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Organizational Network Analysis of AGYW Referrals in Botswana' Description:'The Determined, Resilient, Empowered, AIDS-free, Mentored, and Safe (DREAMS) program, a public-private partnership, is being implemented by the United States Agency for International Development (USAID) in two districts of Botswana to address the structural drivers that increase Adolescent Girls and Young Women's (AGYW) HIV risk, including poverty, gender inequality, GBV, and a lack of education. To support the implementation of DREAMS activities in Gaborone and Kweneng East, USAID contracted Data for Impact (D4I), which is funded by USAID and the United States President’s Emergency Plan for AIDS Relief, to conduct a mixed-methods study in these districts to learn more about referral networks that provide AGYW with DREAMS-related services. D4I conducted an organizational network analysis (ONA) to map the referral network in use by DREAMS partners that provide the following services: HIV and GBV prevention, HIV testing, condom distribution and other family planning (FP) services, pre-exposure prophylaxis (PrEP), contraceptive services, post-GBV care services, and socioeconomic interventions.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Determined, Resilient, Empowered, AIDS-free, Mentored, and Safe (DREAMS) program, a public-private partnership, is being implemented by the United States Agency for International Development (USAID) in two districts of Botswana to address the structural drivers that increase Adolescent Girls and Young Women's (AGYW) HIV risk, including poverty, gender inequality, GBV, and a lack of education. To support the implementation of DREAMS activities in Gaborone and Kweneng East, USAID contracted Data for Impact (D4I), which is funded by USAID and the United States President’s Emergency Plan for AIDS Relief, to conduct a mixed-methods study in these districts to learn more about referral networks that provide AGYW with DREAMS-related services. D4I conducted an organizational network analysis (ONA) to map the referral network in use by DREAMS partners that provide the following services: HIV and GBV prevention, HIV testing, condom distribution and other family planning (FP) services, pre-exposure prophylaxis (PrEP), contraceptive services, post-GBV care services, and socioeconomic interventions.","Subject":"Medicine, Health and Life Sciences","Keywords":"Dreams, ONA, Organizational Network Analysis, HIV, adolescents, girls, women, gender based violence, GBV"},{"pid":"doi:10.15139/S3/MLFVKJ","Title":"Anna Cameron Kirkland Papers, 1832-1890, and undated","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Anna Cameron Kirkland Papers, 1832-1890, and undated' Description:'This artificial collection contains scans and transcriptions of letters by, to, and about Anna Cameron Kirkland (1817-1890) of Hillsborough, North Carolina, who was the first female patient of Dorothea Dix Hospital. More than one hundred relevant letters have been drawn from several different family papers held by the Southern Historical Collection at the University of North Carolina at Chapel Hill Libraries. Although her father died at a relatively young age and was not a wealthy man, Anna was born into one of North Carolina’s most affluent and socially prominent families. Her uncle, Duncan Cameron, owned several plantations in central North Carolina, including Stagville, near Durham, and some 900 slaves. In 1835, she married Alexander Kirkland (1807-1843), son of prominent merchant William Kirkland, who did not inherit his father’s business acumen. Anna gave birth to two sons, William Alexander Kirkland (1836-1898) and Robert Strange Kirkland (1838-1899). Alexander Kirkland died of unspecified medical causes in May 1843. More than 100 pieces of relevant correspondence were unearthed among the 33,000 items in the Cameron Family Papers by UNC History PHD student Lucas Kelley in 2018. Most come from the period between Alexander’s death in 1843 and Anna’s admission to Dix in 1856. Anna’s letters, many of them to uncle Duncan Cameron and first cousin Margaret (Mag) Cameron Mordecai, reveal her deep sense of spiritual wretchedness and doom. Letters from family members about Anna express concern for her condition and need for care that cannot be provided within the family. Anna also recognized that she was unwell. Between 1846 and 1856 she would twice seek help from relatives to fund extended stays at the Western Insane Asylum in Staunton, Virginia, where she could be treated by its superintendent Francis Stribling. She was a patient there for some two years. The North Carolina Hospital for the Insane opened in February 1856. It was eventually named (1959) Dix Hospital in honor of social activist Dorothea Dix, who had lobbied legislators for the establishment of the state’s first insane asylum. Admission ledgers of Dix Hospital from 1856 to 1918, digitized and transcribed by the Community Histories Workshop and available to researchers through the Odum Institute, reveal that Anna was admitted on March 1, 1856, the asylum’s first female patient. Her admission might have been facilitated by Margaret Mordecai’s husband, George Mordecai, who had been appointed one of the first governors of the asylum. She remained there until her death thirty-three years later in 1890. The data set contains an inventory of the letters in spreadsheet form and the transcribed and digitized letters in .docx and .pdf formats, as available. These materials are arranged according to the original collections they are drawn from, then chronologically. The reproductions and transcriptions were created by Community Histories Workshop project staff.' Subject:' Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Depression in women; Mental illness; Mental illness--Religious aspects; Mentally ill--Care--North Carolina; Mentally ill women--Care--United States; Psychiatric hospital patients; Psychiatric hospitals--North Carolina--Raleigh; Psychiatric hospitals--Virginia--Staunton; Pyschiatric hospitals; Widowhood--United States--Psychological aspects; Widows+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Anna Cameron Kirkland Papers, 1832-1890, and undated' Description:'This artificial collection contains scans and transcriptions of letters by, to, and about Anna Cameron Kirkland (1817-1890) of Hillsborough, North Carolina, who was the first female patient of Dorothea Dix Hospital. More than one hundred relevant letters have been drawn from several different family papers held by the Southern Historical Collection at the University of North Carolina at Chapel Hill Libraries. Although her father died at a relatively young age and was not a wealthy man, Anna was born into one of North Carolina’s most affluent and socially prominent families. Her uncle, Duncan Cameron, owned several plantations in central North Carolina, including Stagville, near Durham, and some 900 slaves. In 1835, she married Alexander Kirkland (1807-1843), son of prominent merchant William Kirkland, who did not inherit his father’s business acumen. Anna gave birth to two sons, William Alexander Kirkland (1836-1898) and Robert Strange Kirkland (1838-1899). Alexander Kirkland died of unspecified medical causes in May 1843. More than 100 pieces of relevant correspondence were unearthed among the 33,000 items in the Cameron Family Papers by UNC History PHD student Lucas Kelley in 2018. Most come from the period between Alexander’s death in 1843 and Anna’s admission to Dix in 1856. Anna’s letters, many of them to uncle Duncan Cameron and first cousin Margaret (Mag) Cameron Mordecai, reveal her deep sense of spiritual wretchedness and doom. Letters from family members about Anna express concern for her condition and need for care that cannot be provided within the family. Anna also recognized that she was unwell. Between 1846 and 1856 she would twice seek help from relatives to fund extended stays at the Western Insane Asylum in Staunton, Virginia, where she could be treated by its superintendent Francis Stribling. She was a patient there for some two years. The North Carolina Hospital for the Insane opened in February 1856. It was eventually named (1959) Dix Hospital in honor of social activist Dorothea Dix, who had lobbied legislators for the establishment of the state’s first insane asylum. Admission ledgers of Dix Hospital from 1856 to 1918, digitized and transcribed by the Community Histories Workshop and available to researchers through the Odum Institute, reveal that Anna was admitted on March 1, 1856, the asylum’s first female patient. Her admission might have been facilitated by Margaret Mordecai’s husband, George Mordecai, who had been appointed one of the first governors of the asylum. She remained there until her death thirty-three years later in 1890. The data set contains an inventory of the letters in spreadsheet form and the transcribed and digitized letters in .docx and .pdf formats, as available. These materials are arranged according to the original collections they are drawn from, then chronologically. The reproductions and transcriptions were created by Community Histories Workshop project staff.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This artificial collection contains scans and transcriptions of letters by, to, and about Anna Cameron Kirkland (1817-1890) of Hillsborough, North Carolina, who was the first female patient of Dorothea Dix Hospital. More than one hundred relevant letters have been drawn from several different family papers held by the Southern Historical Collection at the University of North Carolina at Chapel Hill Libraries. Although her father died at a relatively young age and was not a wealthy man, Anna was born into one of North Carolina’s most affluent and socially prominent families. Her uncle, Duncan Cameron, owned several plantations in central North Carolina, including Stagville, near Durham, and some 900 slaves. In 1835, she married Alexander Kirkland (1807-1843), son of prominent merchant William Kirkland, who did not inherit his father’s business acumen. Anna gave birth to two sons, William Alexander Kirkland (1836-1898) and Robert Strange Kirkland (1838-1899). Alexander Kirkland died of unspecified medical causes in May 1843. More than 100 pieces of relevant correspondence were unearthed among the 33,000 items in the Cameron Family Papers by UNC History PHD student Lucas Kelley in 2018. Most come from the period between Alexander’s death in 1843 and Anna’s admission to Dix in 1856. Anna’s letters, many of them to uncle Duncan Cameron and first cousin Margaret (Mag) Cameron Mordecai, reveal her deep sense of spiritual wretchedness and doom. Letters from family members about Anna express concern for her condition and need for care that cannot be provided within the family. Anna also recognized that she was unwell. Between 1846 and 1856 she would twice seek help from relatives to fund extended stays at the Western Insane Asylum in Staunton, Virginia, where she could be treated by its superintendent Francis Stribling. She was a patient there for some two years. The North Carolina Hospital for the Insane opened in February 1856. It was eventually named (1959) Dix Hospital in honor of social activist Dorothea Dix, who had lobbied legislators for the establishment of the state’s first insane asylum. Admission ledgers of Dix Hospital from 1856 to 1918, digitized and transcribed by the Community Histories Workshop and available to researchers through the Odum Institute, reveal that Anna was admitted on March 1, 1856, the asylum’s first female patient. Her admission might have been facilitated by Margaret Mordecai’s husband, George Mordecai, who had been appointed one of the first governors of the asylum. She remained there until her death thirty-three years later in 1890. The data set contains an inventory of the letters in spreadsheet form and the transcribed and digitized letters in .docx and .pdf formats, as available. These materials are arranged according to the original collections they are drawn from, then chronologically. The reproductions and transcriptions were created by Community Histories Workshop project staff.","Subject":" Medicine, Health and Life Sciences","Keywords":"Depression in women; Mental illness; Mental illness--Religious aspects; Mentally ill--Care--North Carolina; Mentally ill women--Care--United States; Psychiatric hospital patients; Psychiatric hospitals--North Carolina--Raleigh; Psychiatric hospitals--Virginia--Staunton; Pyschiatric hospitals; Widowhood--United States--Psychological aspects; Widows"},{"pid":"doi:10.15139/S3/NP3UW7","Title":"District Mapping Onchocerciasis, Lymphatic Filariasis, and Loiasis in Cameroon","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'District Mapping Onchocerciasis, Lymphatic Filariasis, and Loiasis in Cameroon' Description:'The goals of the study were to pilot a strategy for mapping and treating onchocerciasis and lymphatic flilariasis (LF) in Loa loa co-endemic areas; to validate the use of the LoaScope in community assessments; and to validate a statistical model calibrated to determine whether community-level prevalence of Loa infection of >20,000 mf/mL is less than 1% in a community by comparing results of the model to results of a community-level random sample prevalence assessment. A community-based cross sectional cluster survey was organized in the Garoua Boulai health district (East Region, Cameroon) where no ivermectin mass administration was ever performed. The prevalence of loiasis was 8.0% (95% CI: 7.2 – 9.0) and was quite different from one cluster to another (Minimum: 0.0%; Maximum: 43.5%). Onchocerciasis was found to be hypo-endemic (rate of exposure: 4.9%; 95% CI: 4.2 – 5.7), and the endemicity of LF was quite low (prevalence: 0.4%; 95% CI: 0.2 – 0.7). The likelihood of finding more than 1% of individuals harboring Loa mf densities higher than 20,000 mf/mL in a cluster was positively associated with the prevalence of loiasis, although a clear prevalence cut off is yet to be computed.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Filariasis Test Strip; LoaScope; Loiasis; Lymphatic Filariasis; Onchocerciasis; Ov16 RDT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'District Mapping Onchocerciasis, Lymphatic Filariasis, and Loiasis in Cameroon' Description:'The goals of the study were to pilot a strategy for mapping and treating onchocerciasis and lymphatic flilariasis (LF) in Loa loa co-endemic areas; to validate the use of the LoaScope in community assessments; and to validate a statistical model calibrated to determine whether community-level prevalence of Loa infection of >20,000 mf/mL is less than 1% in a community by comparing results of the model to results of a community-level random sample prevalence assessment. A community-based cross sectional cluster survey was organized in the Garoua Boulai health district (East Region, Cameroon) where no ivermectin mass administration was ever performed. The prevalence of loiasis was 8.0% (95% CI: 7.2 – 9.0) and was quite different from one cluster to another (Minimum: 0.0%; Maximum: 43.5%). Onchocerciasis was found to be hypo-endemic (rate of exposure: 4.9%; 95% CI: 4.2 – 5.7), and the endemicity of LF was quite low (prevalence: 0.4%; 95% CI: 0.2 – 0.7). The likelihood of finding more than 1% of individuals harboring Loa mf densities higher than 20,000 mf/mL in a cluster was positively associated with the prevalence of loiasis, although a clear prevalence cut off is yet to be computed.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The goals of the study were to pilot a strategy for mapping and treating onchocerciasis and lymphatic flilariasis (LF) in Loa loa co-endemic areas; to validate the use of the LoaScope in community assessments; and to validate a statistical model calibrated to determine whether community-level prevalence of Loa infection of >20,000 mf/mL is less than 1% in a community by comparing results of the model to results of a community-level random sample prevalence assessment. A community-based cross sectional cluster survey was organized in the Garoua Boulai health district (East Region, Cameroon) where no ivermectin mass administration was ever performed. The prevalence of loiasis was 8.0% (95% CI: 7.2 – 9.0) and was quite different from one cluster to another (Minimum: 0.0%; Maximum: 43.5%). Onchocerciasis was found to be hypo-endemic (rate of exposure: 4.9%; 95% CI: 4.2 – 5.7), and the endemicity of LF was quite low (prevalence: 0.4%; 95% CI: 0.2 – 0.7). The likelihood of finding more than 1% of individuals harboring Loa mf densities higher than 20,000 mf/mL in a cluster was positively associated with the prevalence of loiasis, although a clear prevalence cut off is yet to be computed.","Subject":"Medicine, Health and Life Sciences","Keywords":"Filariasis Test Strip; LoaScope; Loiasis; Lymphatic Filariasis; Onchocerciasis; Ov16 RDT"},{"pid":"doi:10.15139/S3/O9FFDU","Title":"ECU LGBTQ Health Promotion Team 2016 North Carolina Pride Festival Survey","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ECU LGBTQ Health Promotion Team 2016 North Carolina Pride Festival Survey' Description:'BACKGROUND/PURPOSEThis survey gathers data to inform our understanding of workplace discrimination, substance abuse, and health, in relation to lesbian, gay, bisexual, and transgender identity.DESCRIPTION OF PARTICIPANTSAdults attending NC Pride 2016 (a lesbian, gay, bisexual, and transgender community festival open to the public on Duke University's campus on September 24, 2016) in Durham, NC.RESEARCH METHODSWe used iPads to conduct an anonymous survey using convenience sampling with participants at the NC Pride Parade and Festival. The survey took place at the festival portion, which has a sound stage, food vendors, and booths from corporations, businesses, and community organizations. The surveyors requested participation from adults who were walking by the survey team tent, which was rented from NC Pride. Surveyors stayed by the tent and were always in the presence of a faculty member and other surveyors while conducting surveys at the tent. Training with the survey team was conducted about protocols, informed consent, and how to handle refusals the week prior to survey implementation.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {gay; lesbian; sexual minority+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ECU LGBTQ Health Promotion Team 2016 North Carolina Pride Festival Survey' Description:'BACKGROUND/PURPOSEThis survey gathers data to inform our understanding of workplace discrimination, substance abuse, and health, in relation to lesbian, gay, bisexual, and transgender identity.DESCRIPTION OF PARTICIPANTSAdults attending NC Pride 2016 (a lesbian, gay, bisexual, and transgender community festival open to the public on Duke University's campus on September 24, 2016) in Durham, NC.RESEARCH METHODSWe used iPads to conduct an anonymous survey using convenience sampling with participants at the NC Pride Parade and Festival. The survey took place at the festival portion, which has a sound stage, food vendors, and booths from corporations, businesses, and community organizations. The surveyors requested participation from adults who were walking by the survey team tent, which was rented from NC Pride. Surveyors stayed by the tent and were always in the presence of a faculty member and other surveyors while conducting surveys at the tent. Training with the survey team was conducted about protocols, informed consent, and how to handle refusals the week prior to survey implementation.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"BACKGROUND/PURPOSEThis survey gathers data to inform our understanding of workplace discrimination, substance abuse, and health, in relation to lesbian, gay, bisexual, and transgender identity.DESCRIPTION OF PARTICIPANTSAdults attending NC Pride 2016 (a lesbian, gay, bisexual, and transgender community festival open to the public on Duke University's campus on September 24, 2016) in Durham, NC.RESEARCH METHODSWe used iPads to conduct an anonymous survey using convenience sampling with participants at the NC Pride Parade and Festival. The survey took place at the festival portion, which has a sound stage, food vendors, and booths from corporations, businesses, and community organizations. The surveyors requested participation from adults who were walking by the survey team tent, which was rented from NC Pride. Surveyors stayed by the tent and were always in the presence of a faculty member and other surveyors while conducting surveys at the tent. Training with the survey team was conducted about protocols, informed consent, and how to handle refusals the week prior to survey implementation.","Subject":"Medicine, Health and Life Sciences","Keywords":"gay; lesbian; sexual minority"},{"pid":"doi:10.15139/S3/OGPEJT","Title":"Muhuru Bay","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Muhuru Bay' Description:'The 'Multi-Level HIV Prevention in Rural Kenya: Addressing the Individual and Setting-Level Factors Contributing to HIV Among Youth' study was conducted in 2008 in Muhuru Bay, Kenya. Data were collected on HIV risk factors and various mental health measures, including the SDQ, CDI, RBG, PTSD Reaction Index for Children/Adolescents, and an adaptation of the Things I Have Seen and Heard Scale. The study population is comprised of 325 adolescents and their legal guardians. Adolescents were randomly selected from among students enrolled in Standards 5-8 in the 14 schools (9 public, 5 private) in the Muhuru Division of Nyanza, Kenya. Adolescent participants were between the ages of 9 and 18. A caregiver for each enrolled adolescent participant also participated in the study. Both adolescent and caregiver participants completed a one-time, 90-min structured interview administered by research assistants, conducted in the local language Dholuo. All data within the AMANI collection is restricted to protect confidentiality. You may request access to a dataset by contacting the data author at the email address provided under the Terms of Service.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CDI; PTSD Reaction Index for Children/Adolescents; RBG; SDQ; Things I Have Seen and Heard Scale+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Muhuru Bay' Description:'The 'Multi-Level HIV Prevention in Rural Kenya: Addressing the Individual and Setting-Level Factors Contributing to HIV Among Youth' study was conducted in 2008 in Muhuru Bay, Kenya. Data were collected on HIV risk factors and various mental health measures, including the SDQ, CDI, RBG, PTSD Reaction Index for Children/Adolescents, and an adaptation of the Things I Have Seen and Heard Scale. The study population is comprised of 325 adolescents and their legal guardians. Adolescents were randomly selected from among students enrolled in Standards 5-8 in the 14 schools (9 public, 5 private) in the Muhuru Division of Nyanza, Kenya. Adolescent participants were between the ages of 9 and 18. A caregiver for each enrolled adolescent participant also participated in the study. Both adolescent and caregiver participants completed a one-time, 90-min structured interview administered by research assistants, conducted in the local language Dholuo. All data within the AMANI collection is restricted to protect confidentiality. You may request access to a dataset by contacting the data author at the email address provided under the Terms of Service.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The 'Multi-Level HIV Prevention in Rural Kenya: Addressing the Individual and Setting-Level Factors Contributing to HIV Among Youth' study was conducted in 2008 in Muhuru Bay, Kenya. Data were collected on HIV risk factors and various mental health measures, including the SDQ, CDI, RBG, PTSD Reaction Index for Children/Adolescents, and an adaptation of the Things I Have Seen and Heard Scale. The study population is comprised of 325 adolescents and their legal guardians. Adolescents were randomly selected from among students enrolled in Standards 5-8 in the 14 schools (9 public, 5 private) in the Muhuru Division of Nyanza, Kenya. Adolescent participants were between the ages of 9 and 18. A caregiver for each enrolled adolescent participant also participated in the study. Both adolescent and caregiver participants completed a one-time, 90-min structured interview administered by research assistants, conducted in the local language Dholuo. All data within the AMANI collection is restricted to protect confidentiality. You may request access to a dataset by contacting the data author at the email address provided under the Terms of Service.","Subject":"Medicine, Health and Life Sciences","Keywords":"CDI; PTSD Reaction Index for Children/Adolescents; RBG; SDQ; Things I Have Seen and Heard Scale"},{"pid":"doi:10.15139/S3/P8RKKG","Title":"Improving Nutrition through Community-based Approaches (INCA) Activity Baseline Survey 2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Improving Nutrition through Community-based Approaches (INCA) Activity Baseline Survey 2017' Description:'The 2017 INCA Baseline Evaluation Survey provides household- and individual-level data for the evaluation of the USAID/Bangladesh’ Improving Nutrition through Community-based Approaches (INCA) activity. The survey collected information on nutritional status, knowledge and practices related to nutrition, and on utilization of nutrition and health services from a representative sample of target households and women and children under age 2 in INCA project areas. The survey also included a group of households from adjacent non-project areas.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bangladesh; Maternal and child health service; Nutritional status; Nutrition knowledge and practice+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Improving Nutrition through Community-based Approaches (INCA) Activity Baseline Survey 2017' Description:'The 2017 INCA Baseline Evaluation Survey provides household- and individual-level data for the evaluation of the USAID/Bangladesh’ Improving Nutrition through Community-based Approaches (INCA) activity. The survey collected information on nutritional status, knowledge and practices related to nutrition, and on utilization of nutrition and health services from a representative sample of target households and women and children under age 2 in INCA project areas. The survey also included a group of households from adjacent non-project areas.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The 2017 INCA Baseline Evaluation Survey provides household- and individual-level data for the evaluation of the USAID/Bangladesh’ Improving Nutrition through Community-based Approaches (INCA) activity. The survey collected information on nutritional status, knowledge and practices related to nutrition, and on utilization of nutrition and health services from a representative sample of target households and women and children under age 2 in INCA project areas. The survey also included a group of households from adjacent non-project areas.","Subject":"Medicine, Health and Life Sciences","Keywords":"Bangladesh; Maternal and child health service; Nutritional status; Nutrition knowledge and practice"},{"pid":"doi:10.15139/S3/PIJJGC","Title":"A Study of the Local Capacity Initiative in Uganda: Longitudinal Survey of Civil Society Organizations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Study of the Local Capacity Initiative in Uganda: Longitudinal Survey of Civil Society Organizations' Description:'The primary purpose of the Local Capacity Initiative (LCI) evaluation, including the Uganda case study, was to foster learning about how policy advocacy activities can contribute to increased access to quality HIV services for key populations and vulnerable groups. Baseline and endline surveys were conducted with staff from 15 participating civil society organizations (CSOs). The survey measured skill transfer as a result of various trainings (strategic planning, legal and policy audit, use of community score cards) including knowledge in these areas, self-efficacy to conduct related activities, and actual participation in policy advocacy activities.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Civil society organizations; CSOs; HIV; Key populations; Uganda; Vulnerable groups+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Study of the Local Capacity Initiative in Uganda: Longitudinal Survey of Civil Society Organizations' Description:'The primary purpose of the Local Capacity Initiative (LCI) evaluation, including the Uganda case study, was to foster learning about how policy advocacy activities can contribute to increased access to quality HIV services for key populations and vulnerable groups. Baseline and endline surveys were conducted with staff from 15 participating civil society organizations (CSOs). The survey measured skill transfer as a result of various trainings (strategic planning, legal and policy audit, use of community score cards) including knowledge in these areas, self-efficacy to conduct related activities, and actual participation in policy advocacy activities.' Subject:'Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The primary purpose of the Local Capacity Initiative (LCI) evaluation, including the Uganda case study, was to foster learning about how policy advocacy activities can contribute to increased access to quality HIV services for key populations and vulnerable groups. Baseline and endline surveys were conducted with staff from 15 participating civil society organizations (CSOs). The survey measured skill transfer as a result of various trainings (strategic planning, legal and policy audit, use of community score cards) including knowledge in these areas, self-efficacy to conduct related activities, and actual participation in policy advocacy activities.","Subject":"Medicine, Health and Life Sciences","Keywords":"Civil society organizations; CSOs; HIV; Key populations; Uganda; Vulnerable groups"},{"pid":"doi:10.15139/S3/PMAAWG","Title":"CHAMPS Limited Dataset, v4.2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CHAMPS Limited Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, limited CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. Sixteen new columns were added to this dataset; one column was renamed. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Disease; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CHAMPS Limited Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, limited CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. Sixteen new columns were added to this dataset; one column was renamed. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, limited CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. Sixteen new columns were added to this dataset; one column was renamed. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.","Subject":"Medicine, Health and Life Sciences","Keywords":"Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Disease; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries"},{"pid":"doi:10.15139/S3/BQ2DRT","Title":"Prosecutor Lobbying in the States, 2015-2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Prosecutor Lobbying in the States, 2015-2018' Description:'This dataset represents the results of a nationwide study of lobbying by prosecutors in state legislatures during the years 2015 through 2018. The dataset contains two types of data for each state: 1) a spreadsheet identifying and coding every criminal-justice-related bill introduced in the state legislature during those years, and 2) a spreadsheet identifying and coding news stories discussing the political activities of state prosecutor associations. Taken together, these two sets of data provide a glimpse into the lobbying activities of prosecutors before state legislatures, as well as the legislative trajectory of criminal-justice-related bills.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {criminal justice, criminal law, legislation, prosecutors, lobbying+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Prosecutor Lobbying in the States, 2015-2018' Description:'This dataset represents the results of a nationwide study of lobbying by prosecutors in state legislatures during the years 2015 through 2018. The dataset contains two types of data for each state: 1) a spreadsheet identifying and coding every criminal-justice-related bill introduced in the state legislature during those years, and 2) a spreadsheet identifying and coding news stories discussing the political activities of state prosecutor associations. Taken together, these two sets of data provide a glimpse into the lobbying activities of prosecutors before state legislatures, as well as the legislative trajectory of criminal-justice-related bills.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset represents the results of a nationwide study of lobbying by prosecutors in state legislatures during the years 2015 through 2018. The dataset contains two types of data for each state: 1) a spreadsheet identifying and coding every criminal-justice-related bill introduced in the state legislature during those years, and 2) a spreadsheet identifying and coding news stories discussing the political activities of state prosecutor associations. Taken together, these two sets of data provide a glimpse into the lobbying activities of prosecutors before state legislatures, as well as the legislative trajectory of criminal-justice-related bills.","Subject":"Law","Keywords":"criminal justice, criminal law, legislation, prosecutors, lobbying"},{"pid":"doi:10.15139/S3/CJXTLK","Title":"Replication Data for: State Coalitions, Informational Signals, and Success as Amicus Curiae at the United States Supreme Court","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State Coalitions, Informational Signals, and Success as Amicus Curiae at the United States Supreme Court' Description:'States are uniquely situated as both individual governments in the federal system and entities that represent the interests of their citizens. So, what makes groups of states successful when they lobby the Supreme Court as amicus curiae filers? I argue that it is not just the number of states included in a coalition that matters, but rather which states are included. In this paper I offer a theory that implies certain types of coalitions will be more influential than others, as these coalitions can vary in how representative they are of public preferences. I use a dataset on state amicus curiae filings from 1960 to 2013 to test the implications of my theory. I find that the regional diversity of coalitions increases the odds of state amicus curiae filers obtaining their preferred outcome, but the ideological heterogeneity of the group of states does not. This latter result is interesting given that it is contrary to the theoretical expectations of the existing scholarship on state amicus filings.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Federalism; Judicial politics; Representation; State attorneys general+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State Coalitions, Informational Signals, and Success as Amicus Curiae at the United States Supreme Court' Description:'States are uniquely situated as both individual governments in the federal system and entities that represent the interests of their citizens. So, what makes groups of states successful when they lobby the Supreme Court as amicus curiae filers? I argue that it is not just the number of states included in a coalition that matters, but rather which states are included. In this paper I offer a theory that implies certain types of coalitions will be more influential than others, as these coalitions can vary in how representative they are of public preferences. I use a dataset on state amicus curiae filings from 1960 to 2013 to test the implications of my theory. I find that the regional diversity of coalitions increases the odds of state amicus curiae filers obtaining their preferred outcome, but the ideological heterogeneity of the group of states does not. This latter result is interesting given that it is contrary to the theoretical expectations of the existing scholarship on state amicus filings.' Subject:'Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"States are uniquely situated as both individual governments in the federal system and entities that represent the interests of their citizens. So, what makes groups of states successful when they lobby the Supreme Court as amicus curiae filers? I argue that it is not just the number of states included in a coalition that matters, but rather which states are included. In this paper I offer a theory that implies certain types of coalitions will be more influential than others, as these coalitions can vary in how representative they are of public preferences. I use a dataset on state amicus curiae filings from 1960 to 2013 to test the implications of my theory. I find that the regional diversity of coalitions increases the odds of state amicus curiae filers obtaining their preferred outcome, but the ideological heterogeneity of the group of states does not. This latter result is interesting given that it is contrary to the theoretical expectations of the existing scholarship on state amicus filings.","Subject":"Law","Keywords":"Federalism; Judicial politics; Representation; State attorneys general"},{"pid":"doi:10.15139/S3/GLEM1K","Title":"Campaign Contributions by Law Enforcement in Prosecutorial Elections, 2014-2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Campaign Contributions by Law Enforcement in Prosecutorial Elections, 2014-2017' Description:'This dataset record contains each campaign contribution from law enforcement affiliated organizations and individuals that were made in local prosecutor elections from a single election cycle for each jurisdiction that elects its local prosecutor. Most of the data comes from the 2014 or 2016 election cycle. But, for some jurisdictions, the data comes from the as far back as 2012 and as recent as 2017. These contributions are part of a larger database of campaign contributions in prosecutor elections that was created by the Prosecutors and Politics Project at the University of North Carolina School of Law. The Politics and Prosecutors Project is a non-partisan initiative that studies the democratic accountability of elected prosecutors and seeks to increase understanding of the relationship between prosecutors and politics through empirical study and careful analysis in the United States.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Law, Social Sciences, law enforcement, public prosecutors, criminal justice, campaign finance, elections+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Campaign Contributions by Law Enforcement in Prosecutorial Elections, 2014-2017' Description:'This dataset record contains each campaign contribution from law enforcement affiliated organizations and individuals that were made in local prosecutor elections from a single election cycle for each jurisdiction that elects its local prosecutor. Most of the data comes from the 2014 or 2016 election cycle. But, for some jurisdictions, the data comes from the as far back as 2012 and as recent as 2017. These contributions are part of a larger database of campaign contributions in prosecutor elections that was created by the Prosecutors and Politics Project at the University of North Carolina School of Law. The Politics and Prosecutors Project is a non-partisan initiative that studies the democratic accountability of elected prosecutors and seeks to increase understanding of the relationship between prosecutors and politics through empirical study and careful analysis in the United States.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset record contains each campaign contribution from law enforcement affiliated organizations and individuals that were made in local prosecutor elections from a single election cycle for each jurisdiction that elects its local prosecutor. Most of the data comes from the 2014 or 2016 election cycle. But, for some jurisdictions, the data comes from the as far back as 2012 and as recent as 2017. These contributions are part of a larger database of campaign contributions in prosecutor elections that was created by the Prosecutors and Politics Project at the University of North Carolina School of Law. The Politics and Prosecutors Project is a non-partisan initiative that studies the democratic accountability of elected prosecutors and seeks to increase understanding of the relationship between prosecutors and politics through empirical study and careful analysis in the United States.","Subject":"Law","Keywords":"Law, Social Sciences, law enforcement, public prosecutors, criminal justice, campaign finance, elections"},{"pid":"doi:10.15139/S3/ILI4LC","Title":"Local Prosecutor Elections, 2012-2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Local Prosecutor Elections, 2012-2017' Description:'This dataset record contains the results of a national study of local prosecutor elections. It includes the results of one election cycle for each jurisdiction that elects its local prosecutor. Most of the data comes from the 2014 or 2016 election cycle. But, for some jurisdictions, the data comes from the as far back as 2012 and as recent as 2017.The database was created by the Prosecutors and Politics Project at the University of North Carolina School of Law. The Politics and Prosecutors Project is a non-partisan initiative that studies the the democratic accountability of elected prosecutors and seeks to increase understanding of the relationship between prosecutors and politics through empirical study and careful analysis in the United States.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {public prosecutors, criminal justice, elections+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Local Prosecutor Elections, 2012-2017' Description:'This dataset record contains the results of a national study of local prosecutor elections. It includes the results of one election cycle for each jurisdiction that elects its local prosecutor. Most of the data comes from the 2014 or 2016 election cycle. But, for some jurisdictions, the data comes from the as far back as 2012 and as recent as 2017.The database was created by the Prosecutors and Politics Project at the University of North Carolina School of Law. The Politics and Prosecutors Project is a non-partisan initiative that studies the the democratic accountability of elected prosecutors and seeks to increase understanding of the relationship between prosecutors and politics through empirical study and careful analysis in the United States.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset record contains the results of a national study of local prosecutor elections. It includes the results of one election cycle for each jurisdiction that elects its local prosecutor. Most of the data comes from the 2014 or 2016 election cycle. But, for some jurisdictions, the data comes from the as far back as 2012 and as recent as 2017.The database was created by the Prosecutors and Politics Project at the University of North Carolina School of Law. The Politics and Prosecutors Project is a non-partisan initiative that studies the the democratic accountability of elected prosecutors and seeks to increase understanding of the relationship between prosecutors and politics through empirical study and careful analysis in the United States.","Subject":"Law","Keywords":"public prosecutors, criminal justice, elections"},{"pid":"doi:10.15139/S3/SVMGNK","Title":"China Internet Laws and Policies (1994-2017)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'China Internet Laws and Policies (1994-2017)' Description:'This archive includes one dataset and three tables. Users can navigate the archive by selecting 'Dataset', 'Table 1', 'Table 2' and 'Table 3' from the bottom left corner of the spreadsheet. First, the 'Dataset' provides, in Chinese, the first comprehensive collection of 358 national-level policy documents of Chinese Internet laws and policies issued between 1994 and 2017. It includes four data fields (or variables) assorted by year: 1) a numerical number assigned to each policy document from 1 to 358; 2) the year the law or policy was issued; 3) the government agency or agencies that issued the law or policy; and 4) the title of the law or policy issued. Second, 'Table 1' lists the 44 sources from which these 358 policy documents were culled. Third, 'Table 2' is the codebook according to which the 358 policy documents were coded including the issuing time, issuing agency, policy type and policy area. Fourth, 'Table 3' lists the specific Chinese Internet policymaking bodies and the numbers of policies issued by each.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chinese, Internet Law, Internet Policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'China Internet Laws and Policies (1994-2017)' Description:'This archive includes one dataset and three tables. Users can navigate the archive by selecting 'Dataset', 'Table 1', 'Table 2' and 'Table 3' from the bottom left corner of the spreadsheet. First, the 'Dataset' provides, in Chinese, the first comprehensive collection of 358 national-level policy documents of Chinese Internet laws and policies issued between 1994 and 2017. It includes four data fields (or variables) assorted by year: 1) a numerical number assigned to each policy document from 1 to 358; 2) the year the law or policy was issued; 3) the government agency or agencies that issued the law or policy; and 4) the title of the law or policy issued. Second, 'Table 1' lists the 44 sources from which these 358 policy documents were culled. Third, 'Table 2' is the codebook according to which the 358 policy documents were coded including the issuing time, issuing agency, policy type and policy area. Fourth, 'Table 3' lists the specific Chinese Internet policymaking bodies and the numbers of policies issued by each.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This archive includes one dataset and three tables. Users can navigate the archive by selecting 'Dataset', 'Table 1', 'Table 2' and 'Table 3' from the bottom left corner of the spreadsheet. First, the 'Dataset' provides, in Chinese, the first comprehensive collection of 358 national-level policy documents of Chinese Internet laws and policies issued between 1994 and 2017. It includes four data fields (or variables) assorted by year: 1) a numerical number assigned to each policy document from 1 to 358; 2) the year the law or policy was issued; 3) the government agency or agencies that issued the law or policy; and 4) the title of the law or policy issued. Second, 'Table 1' lists the 44 sources from which these 358 policy documents were culled. Third, 'Table 2' is the codebook according to which the 358 policy documents were coded including the issuing time, issuing agency, policy type and policy area. Fourth, 'Table 3' lists the specific Chinese Internet policymaking bodies and the numbers of policies issued by each.","Subject":"Law","Keywords":"Chinese, Internet Law, Internet Policy"},{"pid":"doi:10.15139/S3/VXW3KR","Title":"Replication Data for: Selecting Chief Justices by Peer Vote","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Selecting Chief Justices by Peer Vote' Description:'What characteristics do state supreme court justices prioritize when choosing chiefs? At the federal level, collegial court chiefs are appointed or rotated. A plurality of states permit selection by peer vote, but the institutional consequences of this selection mechanism are not well known. We develop a theory of chief justice selection emphasizing experience, bias, and politics. Leveraging within-contest variation and more than a half century's worth of original data, we find that peer votes often default to a seniority rotation norm. Justices who dissent more relative to their peers, however, are disadvantaged. We find little evidence that political dynamics otherwise drive these decisions and no evidence of discrimination against women or people of color. The results have implications for our understanding of institutional performance and broader debates about political leader selection.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Judicial behavior; Judicial-executive interaction; Judicial politics; Judicial selection; State constitutions+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Selecting Chief Justices by Peer Vote' Description:'What characteristics do state supreme court justices prioritize when choosing chiefs? At the federal level, collegial court chiefs are appointed or rotated. A plurality of states permit selection by peer vote, but the institutional consequences of this selection mechanism are not well known. We develop a theory of chief justice selection emphasizing experience, bias, and politics. Leveraging within-contest variation and more than a half century's worth of original data, we find that peer votes often default to a seniority rotation norm. Justices who dissent more relative to their peers, however, are disadvantaged. We find little evidence that political dynamics otherwise drive these decisions and no evidence of discrimination against women or people of color. The results have implications for our understanding of institutional performance and broader debates about political leader selection.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"What characteristics do state supreme court justices prioritize when choosing chiefs? At the federal level, collegial court chiefs are appointed or rotated. A plurality of states permit selection by peer vote, but the institutional consequences of this selection mechanism are not well known. We develop a theory of chief justice selection emphasizing experience, bias, and politics. Leveraging within-contest variation and more than a half century's worth of original data, we find that peer votes often default to a seniority rotation norm. Justices who dissent more relative to their peers, however, are disadvantaged. We find little evidence that political dynamics otherwise drive these decisions and no evidence of discrimination against women or people of color. The results have implications for our understanding of institutional performance and broader debates about political leader selection.","Subject":"Law","Keywords":"Judicial behavior; Judicial-executive interaction; Judicial politics; Judicial selection; State constitutions"},{"pid":"doi:10.18130/V3/WR4RF9","Title":"High Cost, Little Compensation, No Harm to Deter","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'High Cost, Little Compensation, No Harm to Deter' Description:'Working from a sample of all consumer class actions filed in the Northern District of Illinois over the period 2010-2012 (totaling 510), this project reports and analyzes data on class actions under four federal consumer protection statutes, the Electronic Funds Transfer Act (EFTA) the Fair Credit Reporting Act (FCRA), the Fair Debt Collection Practices Act (FDCPA), and the Telephone Consumer Protection Act (TCPA).' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Northern District of Illinois Class Action Settlement Project+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'High Cost, Little Compensation, No Harm to Deter' Description:'Working from a sample of all consumer class actions filed in the Northern District of Illinois over the period 2010-2012 (totaling 510), this project reports and analyzes data on class actions under four federal consumer protection statutes, the Electronic Funds Transfer Act (EFTA) the Fair Credit Reporting Act (FCRA), the Fair Debt Collection Practices Act (FDCPA), and the Telephone Consumer Protection Act (TCPA).' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Working from a sample of all consumer class actions filed in the Northern District of Illinois over the period 2010-2012 (totaling 510), this project reports and analyzes data on class actions under four federal consumer protection statutes, the Electronic Funds Transfer Act (EFTA) the Fair Credit Reporting Act (FCRA), the Fair Debt Collection Practices Act (FDCPA), and the Telephone Consumer Protection Act (TCPA).","Subject":"Law","Keywords":"Northern District of Illinois Class Action Settlement Project"},{"pid":"doi:10.18710/6ECTTE","Title":"Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.' Description:'. . . [ABOUT THE DATA FILES]The two data files (Stata dta-files) contain the necessary variables and observations to replicate the two sets of analysis in the paper, one concerning the allocation of civil and criminal cases equally among the justices and the other concerning the allocation of justices to the decisional panels.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.' Description:'. . . [ABOUT THE DATA FILES]The two data files (Stata dta-files) contain the necessary variables and observations to replicate the two sets of analysis in the paper, one concerning the allocation of civil and criminal cases equally among the justices and the other concerning the allocation of justices to the decisional panels.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":". . . [ABOUT THE DATA FILES]The two data files (Stata dta-files) contain the necessary variables and observations to replicate the two sets of analysis in the paper, one concerning the allocation of civil and criminal cases equally among the justices and the other concerning the allocation of justices to the decisional panels.","Subject":"Law","Keywords":"Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,"},{"pid":"doi:10.18710/6ECTTE","Title":"Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.' Description:'. . . [ENGLISH SUMMARY]To what extent does the Norwegian Supreme Court comply with its own “principle of randomness”? A principle of randomness is an important procedure which ensures that the allocation of cases to justices and the allocation of justices to decisional panels is not carried out with a view to the potential outcome of the case. We fail to find any published rules for the implementation of the principle of randomness that would make the procedure transparent and replicable for the panels. In this analysis we take the Court’s stated internal procedure as our point of departure. We test two aspects of the Court’s principle of randomness. First, the extent to which civil and criminal cases are allocated equally among the justices over time. Second, the extent to which the composition of the two parallel five- justice decisional panels follows the principle of randomness by allocating the ten justices to the two panels according to decreasing and alternating seniority. We analyze cases that were decided in the panels from 2008 to 2019. First, we find a fairly even allocation of civil and criminal cases to the justices, with a few exceptions that probably can be explained by considerations related to justices’ conflicts of interest. Second, we find that only 22.5 per cent of the same-day panels were composed in accordance with the Court’s internal procedure. As many as 77.5 per cent of the panels were not composed according to this procedure. We find no reasonable explanation for why the proportion of panels that deviates from the stated procedure should be so large. The Supreme Court should strive for clarification and greater transparency as to how it practices its stated principle of randomness.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.' Description:'. . . [ENGLISH SUMMARY]To what extent does the Norwegian Supreme Court comply with its own “principle of randomness”? A principle of randomness is an important procedure which ensures that the allocation of cases to justices and the allocation of justices to decisional panels is not carried out with a view to the potential outcome of the case. We fail to find any published rules for the implementation of the principle of randomness that would make the procedure transparent and replicable for the panels. In this analysis we take the Court’s stated internal procedure as our point of departure. We test two aspects of the Court’s principle of randomness. First, the extent to which civil and criminal cases are allocated equally among the justices over time. Second, the extent to which the composition of the two parallel five- justice decisional panels follows the principle of randomness by allocating the ten justices to the two panels according to decreasing and alternating seniority. We analyze cases that were decided in the panels from 2008 to 2019. First, we find a fairly even allocation of civil and criminal cases to the justices, with a few exceptions that probably can be explained by considerations related to justices’ conflicts of interest. Second, we find that only 22.5 per cent of the same-day panels were composed in accordance with the Court’s internal procedure. As many as 77.5 per cent of the panels were not composed according to this procedure. We find no reasonable explanation for why the proportion of panels that deviates from the stated procedure should be so large. The Supreme Court should strive for clarification and greater transparency as to how it practices its stated principle of randomness.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":". . . [ENGLISH SUMMARY]To what extent does the Norwegian Supreme Court comply with its own “principle of randomness”? A principle of randomness is an important procedure which ensures that the allocation of cases to justices and the allocation of justices to decisional panels is not carried out with a view to the potential outcome of the case. We fail to find any published rules for the implementation of the principle of randomness that would make the procedure transparent and replicable for the panels. In this analysis we take the Court’s stated internal procedure as our point of departure. We test two aspects of the Court’s principle of randomness. First, the extent to which civil and criminal cases are allocated equally among the justices over time. Second, the extent to which the composition of the two parallel five- justice decisional panels follows the principle of randomness by allocating the ten justices to the two panels according to decreasing and alternating seniority. We analyze cases that were decided in the panels from 2008 to 2019. First, we find a fairly even allocation of civil and criminal cases to the justices, with a few exceptions that probably can be explained by considerations related to justices’ conflicts of interest. Second, we find that only 22.5 per cent of the same-day panels were composed in accordance with the Court’s internal procedure. As many as 77.5 per cent of the panels were not composed according to this procedure. We find no reasonable explanation for why the proportion of panels that deviates from the stated procedure should be so large. The Supreme Court should strive for clarification and greater transparency as to how it practices its stated principle of randomness.","Subject":"Law","Keywords":"Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,"},{"pid":"doi:10.18710/6ECTTE","Title":"Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.' Description:'. . . [NORSK SAMMENDRAG] I hvilken grad etterlever Norges Høyesterett sitt eget «tilfeldighetsprinsipp»? Et tilfeldighetsprinsipp er en viktig prosedyre som skal sikre at tildelingen av saker til dommere og fordelingen av dommere til avdeling ikke skjeler til sakens utfall. Vi finner ingen forretningsorden på tilfeldighetsprinsippet som gjør prosedyren gjennomsiktig og etterprøvbar for avdelingene, men vi legger til grunn prosedyren Høyesterett sier den følger. Vi tester to sider ved Høyesteretts tilfeldighetsprinsipp. For det første i hvor stor grad sivile saker og straffesaker over tid fordeles likt på dommerne. For det andre i hvor stor grad sammensetningen av de to avdelingene følger «tilfeldighetsprinsippet» om å ha avdelingenes ti dommerne fordelt i avtagende og alternerende ansiennitet. Vi analyserer sakene som er avgjort i avdeling i perioden 2008-2019. For den første testen finner vi en jevn fordeling av sivile saker og straffesaker til dommerne, med noen unntak som sannsynligvis kan forklares av habilitetsvurderinger. For den andre testen finner vi at bare 22.5 prosent av avdelingene som har forhandlinger samme dag er i samsvar med Høyesteretts egne interne prosedyrer for tilfeldighetsprinsippet. Hele 77.5 prosent av avdelingene er ikke i samsvar med domstolens erklærte prosedyre. Vi finner ingen åpenbare årsaker til at andelen avdelinger som avviker fra «tilfeldighetsprinsippet» skal være så stor. Resultatene bør oppmuntre til en avklaring og større gjennomsiktighet om hvordan Høyesterett praktiserer sitt erklærte tilfeldighetsprinsipp.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.' Description:'. . . [NORSK SAMMENDRAG] I hvilken grad etterlever Norges Høyesterett sitt eget «tilfeldighetsprinsipp»? Et tilfeldighetsprinsipp er en viktig prosedyre som skal sikre at tildelingen av saker til dommere og fordelingen av dommere til avdeling ikke skjeler til sakens utfall. Vi finner ingen forretningsorden på tilfeldighetsprinsippet som gjør prosedyren gjennomsiktig og etterprøvbar for avdelingene, men vi legger til grunn prosedyren Høyesterett sier den følger. Vi tester to sider ved Høyesteretts tilfeldighetsprinsipp. For det første i hvor stor grad sivile saker og straffesaker over tid fordeles likt på dommerne. For det andre i hvor stor grad sammensetningen av de to avdelingene følger «tilfeldighetsprinsippet» om å ha avdelingenes ti dommerne fordelt i avtagende og alternerende ansiennitet. Vi analyserer sakene som er avgjort i avdeling i perioden 2008-2019. For den første testen finner vi en jevn fordeling av sivile saker og straffesaker til dommerne, med noen unntak som sannsynligvis kan forklares av habilitetsvurderinger. For den andre testen finner vi at bare 22.5 prosent av avdelingene som har forhandlinger samme dag er i samsvar med Høyesteretts egne interne prosedyrer for tilfeldighetsprinsippet. Hele 77.5 prosent av avdelingene er ikke i samsvar med domstolens erklærte prosedyre. Vi finner ingen åpenbare årsaker til at andelen avdelinger som avviker fra «tilfeldighetsprinsippet» skal være så stor. Resultatene bør oppmuntre til en avklaring og større gjennomsiktighet om hvordan Høyesterett praktiserer sitt erklærte tilfeldighetsprinsipp.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":". . . [NORSK SAMMENDRAG] I hvilken grad etterlever Norges Høyesterett sitt eget «tilfeldighetsprinsipp»? Et tilfeldighetsprinsipp er en viktig prosedyre som skal sikre at tildelingen av saker til dommere og fordelingen av dommere til avdeling ikke skjeler til sakens utfall. Vi finner ingen forretningsorden på tilfeldighetsprinsippet som gjør prosedyren gjennomsiktig og etterprøvbar for avdelingene, men vi legger til grunn prosedyren Høyesterett sier den følger. Vi tester to sider ved Høyesteretts tilfeldighetsprinsipp. For det første i hvor stor grad sivile saker og straffesaker over tid fordeles likt på dommerne. For det andre i hvor stor grad sammensetningen av de to avdelingene følger «tilfeldighetsprinsippet» om å ha avdelingenes ti dommerne fordelt i avtagende og alternerende ansiennitet. Vi analyserer sakene som er avgjort i avdeling i perioden 2008-2019. For den første testen finner vi en jevn fordeling av sivile saker og straffesaker til dommerne, med noen unntak som sannsynligvis kan forklares av habilitetsvurderinger. For den andre testen finner vi at bare 22.5 prosent av avdelingene som har forhandlinger samme dag er i samsvar med Høyesteretts egne interne prosedyrer for tilfeldighetsprinsippet. Hele 77.5 prosent av avdelingene er ikke i samsvar med domstolens erklærte prosedyre. Vi finner ingen åpenbare årsaker til at andelen avdelinger som avviker fra «tilfeldighetsprinsippet» skal være så stor. Resultatene bør oppmuntre til en avklaring og større gjennomsiktighet om hvordan Høyesterett praktiserer sitt erklærte tilfeldighetsprinsipp.","Subject":"Law","Keywords":"Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,"},{"pid":"doi:10.18710/DWIX6Y","Title":"Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.","Subject":"Law","Keywords":"case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases"},{"pid":"doi:10.18710/DWIX6Y","Title":"Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.","Subject":"Law","Keywords":"case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases"},{"pid":"doi:10.18710/LWYU9M","Title":"Survey data for: Environmental Crimes and Illegal Waste Trade.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:'Earth and Environmental Sciences; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.","Subject":" Law","Keywords":"Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade"},{"pid":"doi:10.18738/T8/79VXCU","Title":"Texas Crime Investigating Committee - Item Level Metadata","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Crime; Texas+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505","Subject":" Law","Keywords":"Crime; Texas"},{"pid":"doi:10.18738/T8/79VXCU","Title":"Texas Crime Investigating Committee - Item Level Metadata","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Crime; Texas+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.","Subject":" Law","Keywords":"Crime; Texas"},{"pid":"doi:10.18738/T8/E6QVXJ","Title":"Replication Data for 'Endogenous & Dangerous'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Endogenous & Dangerous'' Description:'This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {argumentation; case use; citation; defeasible; fair use; trial court+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Endogenous & Dangerous'' Description:'This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.","Subject":" Law","Keywords":"argumentation; case use; citation; defeasible; fair use; trial court"},{"pid":"doi:10.18738/T8/M2PJIH","Title":"American Ex-Prisoners of War (Texas Department) - Item Level Metadata","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Military; Prisoner of War; Texas+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465","Subject":" Law","Keywords":"Military; Prisoner of War; Texas"},{"pid":"doi:10.18738/T8/M2PJIH","Title":"American Ex-Prisoners of War (Texas Department) - Item Level Metadata","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Military; Prisoner of War; Texas+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.","Subject":" Law","Keywords":"Military; Prisoner of War; Texas"},{"pid":"doi:10.18738/T8/SXNR02","Title":"Coding guide & replication data for 'Precedent as Rational Persuasion'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Coding guide & replication data for 'Precedent as Rational Persuasion'' Description:'This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {jurisprudence; legal argumentation; legal reasoning; legal theory; legal topoi+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Coding guide & replication data for 'Precedent as Rational Persuasion'' Description:'This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.","Subject":" Law","Keywords":"jurisprudence; legal argumentation; legal reasoning; legal theory; legal topoi"},{"pid":"doi:10.18738/T8/Z3QBIQ","Title":"Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)' Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Hispanic Periodicals, Latino Periodicals, Editorials+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)' Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' Subject:'Arts and Humanities; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.","Subject":" Law","Keywords":"Hispanic Periodicals, Latino Periodicals, Editorials"},{"pid":"doi:10.21950/02JO85","Title":"Escuelas de imperio. La formación de una elite en los Colegios Mayores (siglos XVI-XVII)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Escuelas de imperio. La formación de una elite en los Colegios Mayores (siglos XVI-XVII)' Description:'Colegios mayores y colegiales en Europa durante la Edad Moderna.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Burocracia moderna; Colegios Mayores; Colegios seculares; Educación; Education; Mecenazgo; Poder; Universidades; Universities+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Escuelas de imperio. La formación de una elite en los Colegios Mayores (siglos XVI-XVII)' Description:'Colegios mayores y colegiales en Europa durante la Edad Moderna.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Colegios mayores y colegiales en Europa durante la Edad Moderna.","Subject":"Law","Keywords":"Burocracia moderna; Colegios Mayores; Colegios seculares; Educación; Education; Mecenazgo; Poder; Universidades; Universities"},{"pid":"doi:10.21950/1YOPT9","Title":"Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) - Colegiales excluidos","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) - Colegiales excluidos' Description:'Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Colegios Mayores; Colegios seculares; Educación; Education; Secular Colleges; Universidades; Universities+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) - Colegiales excluidos' Description:'Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales","Subject":"Law","Keywords":"Colegios Mayores; Colegios seculares; Educación; Education; Secular Colleges; Universidades; Universities"},{"pid":"doi:10.21950/4VNPCN","Title":"La libertad de enseñanza. Un debate del Ochocientos europeo","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'La libertad de enseñanza. Un debate del Ochocientos europeo' Description:'Gráficos y tablas que permiten visualizar la importancia de la enseñanza libre en la Universidad de Madrid y la Universidad de Salamanca en el siglo XIX.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Enseñanza libre; Facultad de Derecho; Universidad liberal+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'La libertad de enseñanza. Un debate del Ochocientos europeo' Description:'Gráficos y tablas que permiten visualizar la importancia de la enseñanza libre en la Universidad de Madrid y la Universidad de Salamanca en el siglo XIX.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Gráficos y tablas que permiten visualizar la importancia de la enseñanza libre en la Universidad de Madrid y la Universidad de Salamanca en el siglo XIX.","Subject":"Law","Keywords":"Enseñanza libre; Facultad de Derecho; Universidad liberal"},{"pid":"doi:10.21950/5II6LN","Title":"El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo' Description:'Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ética de la Inteligencia Artificial; Filosofía de las Tecnologías; Inteligencia Artificial; Reconocimiento Facial; Regulación; Unión Europea+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo' Description:'Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010","Subject":"Law","Keywords":"Ética de la Inteligencia Artificial; Filosofía de las Tecnologías; Inteligencia Artificial; Reconocimiento Facial; Regulación; Unión Europea"},{"pid":"doi:10.21950/8O4OJM","Title":"Revistas jurídicas españolas. Base de datos para un repertorio (1834-1936)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Revistas jurídicas españolas. Base de datos para un repertorio (1834-1936)' Description:'Conjunto de datos que incluye informaciones bibliográficas relativas a las revistas jurídicas publicadas en España entre 1834 y 1936. El proyecto se encuentra abierto a la contribución de terceros que deseen agregar títulos, rectificar o precisar las informaciones registradas, dejando expresa constancia del aporte de cualquier colaborador.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {19th Century; 20th Century; Bibliographical Studies; España; Estudios de bibliografía; Estudios jurídicos; Juristas; Jurists; Legal Journals; Legal Publishing; Periodicals; Publicaciones periódicas; Revistas jurídicas; Siglo XIX; Siglo XX; Spain+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Revistas jurídicas españolas. Base de datos para un repertorio (1834-1936)' Description:'Conjunto de datos que incluye informaciones bibliográficas relativas a las revistas jurídicas publicadas en España entre 1834 y 1936. El proyecto se encuentra abierto a la contribución de terceros que deseen agregar títulos, rectificar o precisar las informaciones registradas, dejando expresa constancia del aporte de cualquier colaborador.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Conjunto de datos que incluye informaciones bibliográficas relativas a las revistas jurídicas publicadas en España entre 1834 y 1936. El proyecto se encuentra abierto a la contribución de terceros que deseen agregar títulos, rectificar o precisar las informaciones registradas, dejando expresa constancia del aporte de cualquier colaborador.","Subject":"Law","Keywords":"19th Century; 20th Century; Bibliographical Studies; España; Estudios de bibliografía; Estudios jurídicos; Juristas; Jurists; Legal Journals; Legal Publishing; Periodicals; Publicaciones periódicas; Revistas jurídicas; Siglo XIX; Siglo XX; Spain"},{"pid":"doi:10.21950/B71ZEZ","Title":"Posesión, dominio y Registro. Constitución de la propiedad contemporánea en España (1861-1944)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Posesión, dominio y Registro. Constitución de la propiedad contemporánea en España (1861-1944)' Description:'Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Historia del Derecho; Historia de los registros de la propiedad; Land Registration History; Legal History+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Posesión, dominio y Registro. Constitución de la propiedad contemporánea en España (1861-1944)' Description:'Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)","Subject":"Law","Keywords":"Historia del Derecho; Historia de los registros de la propiedad; Land Registration History; Legal History"},{"pid":"doi:10.21950/PUCK8P","Title":"Enseñar Derecho en la República: la Facultad de Madrid (1931-1939)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Enseñar Derecho en la República: la Facultad de Madrid (1931-1939)' Description:'Profesores de las diferentes cátedras de la Universidad Central (Madrid) durante la Segunda República Española (1931-1939)' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Enseñanza del derecho; Exilio republicano; Facultad de derecho; Guerra civil española; Segunda República Española; Universidad Central; Universidad de Madrid+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Enseñar Derecho en la República: la Facultad de Madrid (1931-1939)' Description:'Profesores de las diferentes cátedras de la Universidad Central (Madrid) durante la Segunda República Española (1931-1939)' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Profesores de las diferentes cátedras de la Universidad Central (Madrid) durante la Segunda República Española (1931-1939)","Subject":"Law","Keywords":"Enseñanza del derecho; Exilio republicano; Facultad de derecho; Guerra civil española; Segunda República Española; Universidad Central; Universidad de Madrid"},{"pid":"doi:10.21950/RHVJDX","Title":"Table of cases from law reports. Criminal conspiracy cases 1574-1872","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Table of cases from law reports. Criminal conspiracy cases 1574-1872' Description:'Tabulated cases of criminal conspiracy in England from 1574 to 1872. There are three parameters: Date, Case Name, and Nominative Citation.This table of cases is based on that provided by Wright, Robert Samuel. The Law of Criminal Conspiracies and Agreements. London : Butterworths, 1873, pp. 103-107' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {criminal conspiracy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Table of cases from law reports. Criminal conspiracy cases 1574-1872' Description:'Tabulated cases of criminal conspiracy in England from 1574 to 1872. There are three parameters: Date, Case Name, and Nominative Citation.This table of cases is based on that provided by Wright, Robert Samuel. The Law of Criminal Conspiracies and Agreements. London : Butterworths, 1873, pp. 103-107' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Tabulated cases of criminal conspiracy in England from 1574 to 1872. There are three parameters: Date, Case Name, and Nominative Citation.This table of cases is based on that provided by Wright, Robert Samuel. The Law of Criminal Conspiracies and Agreements. London : Butterworths, 1873, pp. 103-107","Subject":"Law","Keywords":"criminal conspiracy"},{"pid":"doi:10.21950/SGQPCN","Title":"Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes' Description:'Conjuntos de datos a los que se hace referencia en la monografía: Vilella Llop, Pilar (2021). Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes, Madrid, Dykinson/UC3M, Colección Resolución de conflictos, n. 12. ISBN: 978-84-1377-534-0' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {coordinación de parentalidad; Derecho de familia; divorcios; mediación familiar; nulidades matrimoniales; separaciones+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes' Description:'Conjuntos de datos a los que se hace referencia en la monografía: Vilella Llop, Pilar (2021). Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes, Madrid, Dykinson/UC3M, Colección Resolución de conflictos, n. 12. ISBN: 978-84-1377-534-0' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Conjuntos de datos a los que se hace referencia en la monografía: Vilella Llop, Pilar (2021). Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes, Madrid, Dykinson/UC3M, Colección Resolución de conflictos, n. 12. ISBN: 978-84-1377-534-0","Subject":"Law","Keywords":"coordinación de parentalidad; Derecho de familia; divorcios; mediación familiar; nulidades matrimoniales; separaciones"},{"pid":"doi:10.21950/V9FCP3","Title":"El instituto femenino Isabel la Católica: un centro modélico del CSIC","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'El instituto femenino Isabel la Católica: un centro modélico del CSIC' Description:'Datos sobre el instituto femenino Isabel la Católica (Madrid) a los que se hace referencia en la monografía: Araque Hontagas, Natividad (2019). El instituto femenino Isabel la Católica: un centro modélico del CSIC. Madrid: Universidad Carlos III de Madrid - Dykinson. Historia de las Universidades, 49. ISSN: 1886-0710. ISBN: 978-84-1324-426-6. URI: http://hdl.handle.net/10016/29046' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Alumnas; Asignaturas; Instituto de Enseñanza Media; Mujeres; Profesorado; Sección Femenina+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'El instituto femenino Isabel la Católica: un centro modélico del CSIC' Description:'Datos sobre el instituto femenino Isabel la Católica (Madrid) a los que se hace referencia en la monografía: Araque Hontagas, Natividad (2019). El instituto femenino Isabel la Católica: un centro modélico del CSIC. Madrid: Universidad Carlos III de Madrid - Dykinson. Historia de las Universidades, 49. ISSN: 1886-0710. ISBN: 978-84-1324-426-6. URI: http://hdl.handle.net/10016/29046' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Datos sobre el instituto femenino Isabel la Católica (Madrid) a los que se hace referencia en la monografía: Araque Hontagas, Natividad (2019). El instituto femenino Isabel la Católica: un centro modélico del CSIC. Madrid: Universidad Carlos III de Madrid - Dykinson. Historia de las Universidades, 49. ISSN: 1886-0710. ISBN: 978-84-1324-426-6. URI: http://hdl.handle.net/10016/29046","Subject":"Law","Keywords":"Alumnas; Asignaturas; Instituto de Enseñanza Media; Mujeres; Profesorado; Sección Femenina"},{"pid":"doi:10.21950/VGZHYT","Title":"Doctores en Derecho por la Universidad de Salamanca en el Sexenio Revolucionario (1868-1874)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Doctores en Derecho por la Universidad de Salamanca en el Sexenio Revolucionario (1868-1874)' Description:'Tabla gráfica en la que se da cuenta de los doctores en derecho en las especialidades de Civil y Canónico y Administrativo por la Universidad de Salamanca durante el Sexenio Revolucionario, así como la fecha del examen de licenciatura, el título de cada tesis, su nota, su fecha de presentación, fecha de expedición del título.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Historia; Salamanca; Sexenio Revolucionario; Universidades+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Doctores en Derecho por la Universidad de Salamanca en el Sexenio Revolucionario (1868-1874)' Description:'Tabla gráfica en la que se da cuenta de los doctores en derecho en las especialidades de Civil y Canónico y Administrativo por la Universidad de Salamanca durante el Sexenio Revolucionario, así como la fecha del examen de licenciatura, el título de cada tesis, su nota, su fecha de presentación, fecha de expedición del título.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Tabla gráfica en la que se da cuenta de los doctores en derecho en las especialidades de Civil y Canónico y Administrativo por la Universidad de Salamanca durante el Sexenio Revolucionario, así como la fecha del examen de licenciatura, el título de cada tesis, su nota, su fecha de presentación, fecha de expedición del título.","Subject":"Law","Keywords":"Historia; Salamanca; Sexenio Revolucionario; Universidades"},{"pid":"doi:10.21950/WUFYII","Title":"Normativa de los pretendientes a oficios","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Normativa de los pretendientes a oficios' Description:'Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Administración; Corte; Derecho; Edad Contemporánea; Pretendientes+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Normativa de los pretendientes a oficios' Description:'Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.","Subject":"Law","Keywords":"Administración; Corte; Derecho; Edad Contemporánea; Pretendientes"},{"pid":"doi:10.34725/DVN/VQXGPV","Title":"Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.","Subject":" Law","Keywords":"Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism"},{"pid":"doi:10.34725/DVN/ZW5I9V","Title":"Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural extension; Gender; Rural advisory services; Voluntarism+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.","Subject":" Law","Keywords":"Agricultural extension; Gender; Rural advisory services; Voluntarism"},{"pid":"doi:10.34894/8NA9UV","Title":"ACURIA project","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ACURIA project' Description:'ACURIA was an empirical comparative research project aimed at identifying legal and procedural strategies, blockages and best practices that can be replicated or prevented in different legal and judicial systems regarding business failure and insolvency, therefore enabling courts to provide a more accurate and fair response in that context. The participating jurisdictions were Portugal, Italy, Poland, and the Netherlands. This project has been completed.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Insolvency Courts; Insolvency Judges; Insolvency Law+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ACURIA project' Description:'ACURIA was an empirical comparative research project aimed at identifying legal and procedural strategies, blockages and best practices that can be replicated or prevented in different legal and judicial systems regarding business failure and insolvency, therefore enabling courts to provide a more accurate and fair response in that context. The participating jurisdictions were Portugal, Italy, Poland, and the Netherlands. This project has been completed.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ACURIA was an empirical comparative research project aimed at identifying legal and procedural strategies, blockages and best practices that can be replicated or prevented in different legal and judicial systems regarding business failure and insolvency, therefore enabling courts to provide a more accurate and fair response in that context. The participating jurisdictions were Portugal, Italy, Poland, and the Netherlands. This project has been completed.","Subject":"Law","Keywords":"Insolvency Courts; Insolvency Judges; Insolvency Law"},{"pid":"doi:10.34894/AP3IRR","Title":"Results of exploratory study for doctoral research on consumer and digital content","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Results of exploratory study for doctoral research on consumer and digital content' Description:'For the purpose of problem exploration (how appropriate the current remedies in the BW (Burgerlijk wetboek) are for digital content agreements), first-year students were asked questions about four specific cases.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Consumer Law; Law; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Results of exploratory study for doctoral research on consumer and digital content' Description:'For the purpose of problem exploration (how appropriate the current remedies in the BW (Burgerlijk wetboek) are for digital content agreements), first-year students were asked questions about four specific cases.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"For the purpose of problem exploration (how appropriate the current remedies in the BW (Burgerlijk wetboek) are for digital content agreements), first-year students were asked questions about four specific cases.","Subject":"Law","Keywords":"Consumer Law; Law; Tilburg University"},{"pid":"doi:10.34894/B3DRL8","Title":"Replication Data for: Onderzoek archivering websites gemeentes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Onderzoek archivering websites gemeentes' Description:'Data behorend bij onderzoek naar wijze van archiveren van gemeentelijke websites.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archiving; Municipality; Website+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Onderzoek archivering websites gemeentes' Description:'Data behorend bij onderzoek naar wijze van archiveren van gemeentelijke websites.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data behorend bij onderzoek naar wijze van archiveren van gemeentelijke websites.","Subject":"Law","Keywords":"Archiving; Municipality; Website"},{"pid":"doi:10.34894/BCKFZ0","Title":"Indonesian Cybercrime Verdicts of Electronic Information and Transaction Act (EITA)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Indonesian Cybercrime Verdicts of Electronic Information and Transaction Act (EITA)' Description:'The datasets present the list and summary of 26 Indonesian cybercrime verdicts under Electronic Information and Transaction Act, as of 15 June 2016. The summary contains: (1) case number; (2) indictment; (3) evidence; (4) evidential materials. The evidence only restricted on witness and expert.The indictment refers to EITA, Indonesian Criminal Law, or other Act. The evidence part emphasizes on witness and expert. It describes how many witnesses and experts that a team of prosecutor presented in a cybercrime case, and how many of them that defendant presented. The evidential material underscores those that could produce electronic evidence.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Act 11 of 2008 on Electronic Information and Transaction Act (EITA); Act 19 of 2016 on Amendment of Act 11 of 2008; cybercrime and cyberlaw; expert evidence+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Indonesian Cybercrime Verdicts of Electronic Information and Transaction Act (EITA)' Description:'The datasets present the list and summary of 26 Indonesian cybercrime verdicts under Electronic Information and Transaction Act, as of 15 June 2016. The summary contains: (1) case number; (2) indictment; (3) evidence; (4) evidential materials. The evidence only restricted on witness and expert.The indictment refers to EITA, Indonesian Criminal Law, or other Act. The evidence part emphasizes on witness and expert. It describes how many witnesses and experts that a team of prosecutor presented in a cybercrime case, and how many of them that defendant presented. The evidential material underscores those that could produce electronic evidence.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The datasets present the list and summary of 26 Indonesian cybercrime verdicts under Electronic Information and Transaction Act, as of 15 June 2016. The summary contains: (1) case number; (2) indictment; (3) evidence; (4) evidential materials. The evidence only restricted on witness and expert.The indictment refers to EITA, Indonesian Criminal Law, or other Act. The evidence part emphasizes on witness and expert. It describes how many witnesses and experts that a team of prosecutor presented in a cybercrime case, and how many of them that defendant presented. The evidential material underscores those that could produce electronic evidence.","Subject":"Law","Keywords":"Act 11 of 2008 on Electronic Information and Transaction Act (EITA); Act 19 of 2016 on Amendment of Act 11 of 2008; cybercrime and cyberlaw; expert evidence"},{"pid":"doi:10.34894/BFDG99","Title":"CRC General Comments 'Tobacco Control'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CRC General Comments 'Tobacco Control'' Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all General Comments of the Committee on the Rights of the Child up until April 2019. Search terms used include *tobacco, *smoking/smoke, *health, *well-being, *lifestyle/life. All reports are referenced by date of publication and hyperlinked. Main results are published in MEC Gispen and BCA Toebes, 'The Human Rights of Children in Tobacco Control' (2019) 41 Human Rights Quarterly 340. Contributors: M.E.C. Gispen and N. Rusli. All rights reserved. For further information, contact m.e.c.gispen@rug.nl' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Children; Health; Lifestyle; Smoking; Tobacco; Well-being+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CRC General Comments 'Tobacco Control'' Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all General Comments of the Committee on the Rights of the Child up until April 2019. Search terms used include *tobacco, *smoking/smoke, *health, *well-being, *lifestyle/life. All reports are referenced by date of publication and hyperlinked. Main results are published in MEC Gispen and BCA Toebes, 'The Human Rights of Children in Tobacco Control' (2019) 41 Human Rights Quarterly 340. Contributors: M.E.C. Gispen and N. Rusli. All rights reserved. For further information, contact m.e.c.gispen@rug.nl' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all General Comments of the Committee on the Rights of the Child up until April 2019. Search terms used include *tobacco, *smoking/smoke, *health, *well-being, *lifestyle/life. All reports are referenced by date of publication and hyperlinked. Main results are published in MEC Gispen and BCA Toebes, 'The Human Rights of Children in Tobacco Control' (2019) 41 Human Rights Quarterly 340. Contributors: M.E.C. Gispen and N. Rusli. All rights reserved. For further information, contact m.e.c.gispen@rug.nl","Subject":"Law","Keywords":"Children; Health; Lifestyle; Smoking; Tobacco; Well-being"},{"pid":"doi:10.34894/DQXHTJ","Title":"CRC State reports 'Tobacco control'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CRC State reports 'Tobacco control'' Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all state reports submitted to the Committee on the Rights of the Child up until March 2018. Search terms used include *tobacco, *smoking. All reports are referenced by date of publication and hyperlinked. Main results are published in M.E.C. Gispen and B.C.A. Toebes, 'The Human Rights of Children in Tobacco Control' (2019) Human Rights Quarterly (accepted, appears in May 2019 issue). Contibutors: M.E.C. Gispen, M.A. Beyer, J.V. Veraldi, N. Rusli, and B.C.A. Toebes. All rights reserved.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Convention on the Rights of the Child; Rights of the Child; Smoking; State Reports; Tobacco+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CRC State reports 'Tobacco control'' Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all state reports submitted to the Committee on the Rights of the Child up until March 2018. Search terms used include *tobacco, *smoking. All reports are referenced by date of publication and hyperlinked. Main results are published in M.E.C. Gispen and B.C.A. Toebes, 'The Human Rights of Children in Tobacco Control' (2019) Human Rights Quarterly (accepted, appears in May 2019 issue). Contibutors: M.E.C. Gispen, M.A. Beyer, J.V. Veraldi, N. Rusli, and B.C.A. Toebes. All rights reserved.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all state reports submitted to the Committee on the Rights of the Child up until March 2018. Search terms used include *tobacco, *smoking. All reports are referenced by date of publication and hyperlinked. Main results are published in M.E.C. Gispen and B.C.A. Toebes, 'The Human Rights of Children in Tobacco Control' (2019) Human Rights Quarterly (accepted, appears in May 2019 issue). Contibutors: M.E.C. Gispen, M.A. Beyer, J.V. Veraldi, N. Rusli, and B.C.A. Toebes. All rights reserved.","Subject":"Law","Keywords":"Convention on the Rights of the Child; Rights of the Child; Smoking; State Reports; Tobacco"},{"pid":"doi:10.34894/FK8YKR","Title":"Dataset: Novel Smoke Free Zones","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset: Novel Smoke Free Zones' Description:'As part of a tobacco endgame strategy, existing smoke-free regulations in enclosed public places are now being expanded in various places across the globe to also cover outdoor and private spaces, henceforth referred to as novel smoke-free policies. The dataset constitutes a mapping of examples of novel smoke-free policies from around the globe on the basis of different types of smoke-free spaces. The aspiration of the database is not to exhaustively list all the novel smoke-free policies around the globe but to demonstrate the significant, versatile and growing implementation of novel smoke-free policies worldwide.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {health; smoke-free zones; smoking.; tobacco control+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset: Novel Smoke Free Zones' Description:'As part of a tobacco endgame strategy, existing smoke-free regulations in enclosed public places are now being expanded in various places across the globe to also cover outdoor and private spaces, henceforth referred to as novel smoke-free policies. The dataset constitutes a mapping of examples of novel smoke-free policies from around the globe on the basis of different types of smoke-free spaces. The aspiration of the database is not to exhaustively list all the novel smoke-free policies around the globe but to demonstrate the significant, versatile and growing implementation of novel smoke-free policies worldwide.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As part of a tobacco endgame strategy, existing smoke-free regulations in enclosed public places are now being expanded in various places across the globe to also cover outdoor and private spaces, henceforth referred to as novel smoke-free policies. The dataset constitutes a mapping of examples of novel smoke-free policies from around the globe on the basis of different types of smoke-free spaces. The aspiration of the database is not to exhaustively list all the novel smoke-free policies around the globe but to demonstrate the significant, versatile and growing implementation of novel smoke-free policies worldwide.","Subject":"Law","Keywords":"health; smoke-free zones; smoking.; tobacco control"},{"pid":"doi:10.34894/I4ZX4G","Title":"Replication Data for: supervision orders, civil and penal, per year per district court in the Netherlands","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: supervision orders, civil and penal, per year per district court in the Netherlands' Description:'Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Child protection measure; Council for Child Protection; Family supervision order; Guardianship Board; Juvenile judge+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: supervision orders, civil and penal, per year per district court in the Netherlands' Description:'Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level","Subject":"Law","Keywords":"Child protection measure; Council for Child Protection; Family supervision order; Guardianship Board; Juvenile judge"},{"pid":"doi:10.34894/JSS5TU","Title":"Replication Data for: State of Emergency Mapping Database (STEM)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State of Emergency Mapping Database (STEM)' Description:'The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {State of Emergency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State of Emergency Mapping Database (STEM)' Description:'The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.","Subject":"Law","Keywords":"State of Emergency"},{"pid":"doi:10.34894/M2O6D9","Title":"Dataset: Tobacco Control in the Conclusions of the CoE European Committee of Social Rights","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset: Tobacco Control in the Conclusions of the CoE European Committee of Social Rights' Description:'The present dataset presents the Conclusions of the European Committee of Social Rights of the Council of Europe in the context of the reporting system of the European Social Charter on the issue of tobacco control. To our knowledge, this is the first mapping on the matter and it aspires to demonstrate the extent to which tobacco control connects to the implementation of human rights’ obligations and in particular to the monitoring of the rights enshrined in the European Social Charter.The dataset has been developed as part the study into novel smoke-free policies carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Heart Foundation, the Lung Foundation Netherlands, the Dutch CancerSociety, the Dutch Diabetes Research Foundation & the Netherlands Thrombosis Foundation.Methods include systematic searches of the ECSR’ Conclusions that are publicly available on HUDOC-ESC until December 2020.The relevant sources are hyperlinked. Search terms used include *tobacco, *smoking, *cigarette, *smoke (excl *black smoke, *industrial smoke etc).The funders have not been involved in any of the study design, data collection and analysis.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {health; smoke-free zones; smoking.; tobacco control+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset: Tobacco Control in the Conclusions of the CoE European Committee of Social Rights' Description:'The present dataset presents the Conclusions of the European Committee of Social Rights of the Council of Europe in the context of the reporting system of the European Social Charter on the issue of tobacco control. To our knowledge, this is the first mapping on the matter and it aspires to demonstrate the extent to which tobacco control connects to the implementation of human rights’ obligations and in particular to the monitoring of the rights enshrined in the European Social Charter.The dataset has been developed as part the study into novel smoke-free policies carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Heart Foundation, the Lung Foundation Netherlands, the Dutch CancerSociety, the Dutch Diabetes Research Foundation & the Netherlands Thrombosis Foundation.Methods include systematic searches of the ECSR’ Conclusions that are publicly available on HUDOC-ESC until December 2020.The relevant sources are hyperlinked. Search terms used include *tobacco, *smoking, *cigarette, *smoke (excl *black smoke, *industrial smoke etc).The funders have not been involved in any of the study design, data collection and analysis.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The present dataset presents the Conclusions of the European Committee of Social Rights of the Council of Europe in the context of the reporting system of the European Social Charter on the issue of tobacco control. To our knowledge, this is the first mapping on the matter and it aspires to demonstrate the extent to which tobacco control connects to the implementation of human rights’ obligations and in particular to the monitoring of the rights enshrined in the European Social Charter.The dataset has been developed as part the study into novel smoke-free policies carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Heart Foundation, the Lung Foundation Netherlands, the Dutch CancerSociety, the Dutch Diabetes Research Foundation & the Netherlands Thrombosis Foundation.Methods include systematic searches of the ECSR’ Conclusions that are publicly available on HUDOC-ESC until December 2020.The relevant sources are hyperlinked. Search terms used include *tobacco, *smoking, *cigarette, *smoke (excl *black smoke, *industrial smoke etc).The funders have not been involved in any of the study design, data collection and analysis.","Subject":"Law","Keywords":"health; smoke-free zones; smoking.; tobacco control"},{"pid":"doi:10.34894/NFECFD","Title":"Datasets Judicial Review Cases of KUHAP Provisions Year 2006 to 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Datasets Judicial Review Cases of KUHAP Provisions Year 2006 to 2016' Description:'The dataset presents the list and excerpt of 49 judicial review cases in Constitutional Court of Republic of Indonesia from 2006 to 28 September 2016 that challenge the constitutionality of Indonesian Criminal Procedural Law (Act 8/1981 or KUHAP). The excerpt consists of:(1) Case Number;(2) Status of Applicant;(3) Articles of KUHAP (that were reviewed by Constitutional Court);(4) Court's verdict (Overruled, Declared Inadmissible, Granted, and Partially Granted);(5) Court's Main Consideration.It also lists the articles of KUHAP (and their frequency of attempts) that the Applicants brought to Indonesian Constitutional Court. The articles are divided into four categories (Investigation, Prosecution, Trial, and Mix).' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Indonesian Constitutional Court (Mahkamah Konstitusi); Indonesian Criminal Procedural Law (KUHAP)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Datasets Judicial Review Cases of KUHAP Provisions Year 2006 to 2016' Description:'The dataset presents the list and excerpt of 49 judicial review cases in Constitutional Court of Republic of Indonesia from 2006 to 28 September 2016 that challenge the constitutionality of Indonesian Criminal Procedural Law (Act 8/1981 or KUHAP). The excerpt consists of:(1) Case Number;(2) Status of Applicant;(3) Articles of KUHAP (that were reviewed by Constitutional Court);(4) Court's verdict (Overruled, Declared Inadmissible, Granted, and Partially Granted);(5) Court's Main Consideration.It also lists the articles of KUHAP (and their frequency of attempts) that the Applicants brought to Indonesian Constitutional Court. The articles are divided into four categories (Investigation, Prosecution, Trial, and Mix).' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset presents the list and excerpt of 49 judicial review cases in Constitutional Court of Republic of Indonesia from 2006 to 28 September 2016 that challenge the constitutionality of Indonesian Criminal Procedural Law (Act 8/1981 or KUHAP). The excerpt consists of:(1) Case Number;(2) Status of Applicant;(3) Articles of KUHAP (that were reviewed by Constitutional Court);(4) Court's verdict (Overruled, Declared Inadmissible, Granted, and Partially Granted);(5) Court's Main Consideration.It also lists the articles of KUHAP (and their frequency of attempts) that the Applicants brought to Indonesian Constitutional Court. The articles are divided into four categories (Investigation, Prosecution, Trial, and Mix).","Subject":"Law","Keywords":"Indonesian Constitutional Court (Mahkamah Konstitusi); Indonesian Criminal Procedural Law (KUHAP)"},{"pid":"doi:10.34894/NNRX8P","Title":"Consequences of different addiction perspectives on the assessment of criminal responsibility","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Consequences of different addiction perspectives on the assessment of criminal responsibility' Description:'Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Addiction debate; Criminal responsibility; Neurolaw+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Consequences of different addiction perspectives on the assessment of criminal responsibility' Description:'Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.","Subject":"Law","Keywords":"Addiction debate; Criminal responsibility; Neurolaw"},{"pid":"doi:10.34894/SHPLTP","Title":"The Information Paradigm in EU Consumer Law in Numbers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Information Paradigm in EU Consumer Law in Numbers' Description:'The information paradigm resulting from EU consumer law has multiple flaws when it comes to consumer protection. Academics have suggested numerous solutions to these shortcomings, including the abandonment of mandated disclosure. A part of the literature claims or implies that the information paradigm needs to be revised or replaced in order to sufficiently address its shortcomings. Nevertheless, both the EU and the stakeholders seem interested in keeping pre-contractual information duties as a regulatory mechanism. Considering this, the departure point of any discussion on the improvement of the EU law-based information paradigm is the existing information duties. This step is, however, often disregarded in the literature. When it is not disregarded, the description of the information paradigm is based on examples of specific provisions in specific Directives in specific areas. This paints a partial picture of the information paradigm. This study intends to characterize the information paradigm from a broader, more comprehensive perspective. In that sense, this dataset includes approximately 1500 observations (pre-contractual duties to inform) that were coded according to 8 variables. The goal of the study was to identify the main traits and conceptual limits of the information paradigm in EU consumer law. This dataset is the result of a study of pre-contractual duties to inform in EU consumer law, in the context of my PhD research.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Consumer law; European Union Law; Information duties+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Information Paradigm in EU Consumer Law in Numbers' Description:'The information paradigm resulting from EU consumer law has multiple flaws when it comes to consumer protection. Academics have suggested numerous solutions to these shortcomings, including the abandonment of mandated disclosure. A part of the literature claims or implies that the information paradigm needs to be revised or replaced in order to sufficiently address its shortcomings. Nevertheless, both the EU and the stakeholders seem interested in keeping pre-contractual information duties as a regulatory mechanism. Considering this, the departure point of any discussion on the improvement of the EU law-based information paradigm is the existing information duties. This step is, however, often disregarded in the literature. When it is not disregarded, the description of the information paradigm is based on examples of specific provisions in specific Directives in specific areas. This paints a partial picture of the information paradigm. This study intends to characterize the information paradigm from a broader, more comprehensive perspective. In that sense, this dataset includes approximately 1500 observations (pre-contractual duties to inform) that were coded according to 8 variables. The goal of the study was to identify the main traits and conceptual limits of the information paradigm in EU consumer law. This dataset is the result of a study of pre-contractual duties to inform in EU consumer law, in the context of my PhD research.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The information paradigm resulting from EU consumer law has multiple flaws when it comes to consumer protection. Academics have suggested numerous solutions to these shortcomings, including the abandonment of mandated disclosure. A part of the literature claims or implies that the information paradigm needs to be revised or replaced in order to sufficiently address its shortcomings. Nevertheless, both the EU and the stakeholders seem interested in keeping pre-contractual information duties as a regulatory mechanism. Considering this, the departure point of any discussion on the improvement of the EU law-based information paradigm is the existing information duties. This step is, however, often disregarded in the literature. When it is not disregarded, the description of the information paradigm is based on examples of specific provisions in specific Directives in specific areas. This paints a partial picture of the information paradigm. This study intends to characterize the information paradigm from a broader, more comprehensive perspective. In that sense, this dataset includes approximately 1500 observations (pre-contractual duties to inform) that were coded according to 8 variables. The goal of the study was to identify the main traits and conceptual limits of the information paradigm in EU consumer law. This dataset is the result of a study of pre-contractual duties to inform in EU consumer law, in the context of my PhD research.","Subject":"Law","Keywords":"Consumer law; European Union Law; Information duties"},{"pid":"doi:10.34894/SRSB8I","Title":"Addiction in Dutch criminal cases","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Addiction in Dutch criminal cases' Description:'During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Addiction; Criminal law; Criminal responsibility+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Addiction in Dutch criminal cases' Description:'During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.","Subject":"Law","Keywords":"Addiction; Criminal law; Criminal responsibility"},{"pid":"doi:10.34894/ULCIFO","Title":"Survey experiment multi-option ballot question structures","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Survey experiment multi-option ballot question structures' Description:'This survey experiments analyses the effects of different ballot question structures on voting behaviour. Two types of questions are posed on the topic of reducing the maximum speed limit: one with ordinal alternatives (various speed limits) and one with categorical alternatives (alternative scenarios for applying speed limits). Respondents are questioned on these alternatives using two question structures: a single multi-option question and multiple binary questions. The experimental data can be used to analyse to which extent the question type, ballot question structure and order in which alternatives are offered affect voting behaviour.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ballot structure; Referendum; Social Sciences; Tilburg University; Voting behaviour+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Survey experiment multi-option ballot question structures' Description:'This survey experiments analyses the effects of different ballot question structures on voting behaviour. Two types of questions are posed on the topic of reducing the maximum speed limit: one with ordinal alternatives (various speed limits) and one with categorical alternatives (alternative scenarios for applying speed limits). Respondents are questioned on these alternatives using two question structures: a single multi-option question and multiple binary questions. The experimental data can be used to analyse to which extent the question type, ballot question structure and order in which alternatives are offered affect voting behaviour.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey experiments analyses the effects of different ballot question structures on voting behaviour. Two types of questions are posed on the topic of reducing the maximum speed limit: one with ordinal alternatives (various speed limits) and one with categorical alternatives (alternative scenarios for applying speed limits). Respondents are questioned on these alternatives using two question structures: a single multi-option question and multiple binary questions. The experimental data can be used to analyse to which extent the question type, ballot question structure and order in which alternatives are offered affect voting behaviour.","Subject":"Law","Keywords":"Ballot structure; Referendum; Social Sciences; Tilburg University; Voting behaviour"},{"pid":"doi:10.34894/VUE37U","Title":"De toepassing van gebiedsverboden op grond van de gewijzigde Wet MBVEO in de praktijk.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'De toepassing van gebiedsverboden op grond van de gewijzigde Wet MBVEO in de praktijk.' Description:'Onderzoek tijdens de Masterstudie, door Mirjam Tuk en Laura van den Bor. De data betreft resultaten van een enquête en interviews.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Gebiedsverbod, Area Ban,+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'De toepassing van gebiedsverboden op grond van de gewijzigde Wet MBVEO in de praktijk.' Description:'Onderzoek tijdens de Masterstudie, door Mirjam Tuk en Laura van den Bor. De data betreft resultaten van een enquête en interviews.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Onderzoek tijdens de Masterstudie, door Mirjam Tuk en Laura van den Bor. De data betreft resultaten van een enquête en interviews.","Subject":"Law","Keywords":"Gebiedsverbod, Area Ban,"},{"pid":"doi:10.34894/Y2SHRZ","Title":"Phylogeny of the Unpaid Seller’s Right to Vindicate Goods / Een fylogenetische analyse van de prijsbetalingsregel","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Phylogeny of the Unpaid Seller’s Right to Vindicate Goods / Een fylogenetische analyse van de prijsbetalingsregel' Description:'This contribution applies computational phylogenetics, the quantitative study of the evolutionary history of organisms, to the vexed history of the price payment-rule. This rule makes the transfer of movable property dependent on the buyer’s payment of the price. The study provides a dataset of 56 variations of the price payment-rule from 41 different jurisdictions drafted between the years 150 and 2006. Using Mesquite, these variations are quantified as phylogenetic trees and subsequently analysed to draw conclusions about their common history. The study is set up as a test study to explore the potential of computational phylogenetics in law. / Deze bijdrage tracht om nieuw licht te werpen op de omstreden geschiedenis van de prijsbetalingsregel. Hiertoe wordt een nieuwe methode beproefd . Deze methode is gebaseerd op kwantitatieve fylogenetica, de computationele studie van de evolutie van organismen. De studie identificeert 56 varianten van de prijsbetalingsregel uit 41 verschillende jurisdicties uit de periode tussen 150 en 2006. Met gebruikmaking van Mesquite worden vier fylogenetische stambomen gepresenteerd op basis waarvan conclusies worden getrokken over hun mate van verwantschap. De studie is opgezet als een experiment om het potentieel van de computationele fylogenetica te testen.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Phylogeny; Unpaid seller; fylogenie; onbetaalde verkoper+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Phylogeny of the Unpaid Seller’s Right to Vindicate Goods / Een fylogenetische analyse van de prijsbetalingsregel' Description:'This contribution applies computational phylogenetics, the quantitative study of the evolutionary history of organisms, to the vexed history of the price payment-rule. This rule makes the transfer of movable property dependent on the buyer’s payment of the price. The study provides a dataset of 56 variations of the price payment-rule from 41 different jurisdictions drafted between the years 150 and 2006. Using Mesquite, these variations are quantified as phylogenetic trees and subsequently analysed to draw conclusions about their common history. The study is set up as a test study to explore the potential of computational phylogenetics in law. / Deze bijdrage tracht om nieuw licht te werpen op de omstreden geschiedenis van de prijsbetalingsregel. Hiertoe wordt een nieuwe methode beproefd . Deze methode is gebaseerd op kwantitatieve fylogenetica, de computationele studie van de evolutie van organismen. De studie identificeert 56 varianten van de prijsbetalingsregel uit 41 verschillende jurisdicties uit de periode tussen 150 en 2006. Met gebruikmaking van Mesquite worden vier fylogenetische stambomen gepresenteerd op basis waarvan conclusies worden getrokken over hun mate van verwantschap. De studie is opgezet als een experiment om het potentieel van de computationele fylogenetica te testen.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This contribution applies computational phylogenetics, the quantitative study of the evolutionary history of organisms, to the vexed history of the price payment-rule. This rule makes the transfer of movable property dependent on the buyer’s payment of the price. The study provides a dataset of 56 variations of the price payment-rule from 41 different jurisdictions drafted between the years 150 and 2006. Using Mesquite, these variations are quantified as phylogenetic trees and subsequently analysed to draw conclusions about their common history. The study is set up as a test study to explore the potential of computational phylogenetics in law. / Deze bijdrage tracht om nieuw licht te werpen op de omstreden geschiedenis van de prijsbetalingsregel. Hiertoe wordt een nieuwe methode beproefd . Deze methode is gebaseerd op kwantitatieve fylogenetica, de computationele studie van de evolutie van organismen. De studie identificeert 56 varianten van de prijsbetalingsregel uit 41 verschillende jurisdicties uit de periode tussen 150 en 2006. Met gebruikmaking van Mesquite worden vier fylogenetische stambomen gepresenteerd op basis waarvan conclusies worden getrokken over hun mate van verwantschap. De studie is opgezet als een experiment om het potentieel van de computationele fylogenetica te testen.","Subject":"Law","Keywords":"Phylogeny; Unpaid seller; fylogenie; onbetaalde verkoper"},{"pid":"doi:10.34894/ZUWAPS","Title":"EXCEPTIUS Corpus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'EXCEPTIUS Corpus' Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'EXCEPTIUS Corpus' Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.","Subject":" Law","Keywords":"Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2"},{"pid":"doi:10.5064/F6JOQXNF","Title":"Data for: Debating Algorithmic Fairness","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for: Debating Algorithmic Fairness' Description:'This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {criminality prediction; racism; recidivism; risk assessment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for: Debating Algorithmic Fairness' Description:'This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.","Subject":"Law","Keywords":"criminality prediction; racism; recidivism; risk assessment"},{"pid":"doi:10.5064/F6PHDAOA","Title":"Data for: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America' Description:'Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {human rights; law; politics; transitional justice+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America' Description:'Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename","Subject":"Law","Keywords":"human rights; law; politics; transitional justice"},{"pid":"doi:10.5064/F6TD9V7G","Title":"Constitute: Constitutional text for scholars and drafters","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Constitute: Constitutional text for scholars and drafters' Description:'Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet). ' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {civil rights; comparative institutions; constitutions; law; political systems; text data+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Constitute: Constitutional text for scholars and drafters' Description:'Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet). ' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet). ","Subject":"Law","Keywords":"civil rights; comparative institutions; constitutions; law; political systems; text data"},{"pid":"doi:10.5064/F6UMRNAC","Title":"Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences'' Description:'Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {bilateral investment treaties; economic agreements; foreign investment; ICSID; investor-state arbitration; ISDS; treaties; World Bank+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences'' Description:'Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.","Subject":"Law","Keywords":"bilateral investment treaties; economic agreements; foreign investment; ICSID; investor-state arbitration; ISDS; treaties; World Bank"},{"pid":"doi:10.7910/DVN/02UDNL","Title":"Executive Agreements Database, Background Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of March 31, 1989, As Amended, Concerning the Acquisition and Production In Japan of the Sh-60j and Uh-60j Aircraft Effected By Exchange Of Notes Act Tokyo March 29, 1996","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of March 31, 1989, As Amended, Concerning the Acquisition and Production In Japan of the Sh-60j and Uh-60j Aircraft Effected By Exchange Of Notes Act Tokyo March 29, 1996' Description:'KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Arms Export Control Act, 22 USC 2751 et seq; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution (commander in chief clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of March 31, 1989, As Amended, Concerning the Acquisition and Production In Japan of the Sh-60j and Uh-60j Aircraft Effected By Exchange Of Notes Act Tokyo March 29, 1996' Description:'KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo","Subject":"Law","Keywords":"Arms Export Control Act, 22 USC 2751 et seq; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution (commander in chief clause)"},{"pid":"doi:10.7910/DVN/02ZEEN","Title":"Executive Agreements Database, Statement Regarding the International Express Mail Agreement Between The United States Postal Service and The Postal Administration of Ethiopia. Agreement Signed At Addis Ababa, Ethiopia, On August 3, 1989, and Act Washington, D.C., On September 1, 1989.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the International Express Mail Agreement Between The United States Postal Service and The Postal Administration of Ethiopia. Agreement Signed At Addis Ababa, Ethiopia, On August 3, 1989, and Act Washington, D.C., On September 1, 1989.' Description:'TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {39 USC 407; Article 6 of the Universal Postal Convention, TIAS 10972; Highest Rating 1 (authorization to conclude agreements)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the International Express Mail Agreement Between The United States Postal Service and The Postal Administration of Ethiopia. Agreement Signed At Addis Ababa, Ethiopia, On August 3, 1989, and Act Washington, D.C., On September 1, 1989.' Description:'TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo","Subject":"Law","Keywords":"39 USC 407; Article 6 of the Universal Postal Convention, TIAS 10972; Highest Rating 1 (authorization to conclude agreements)"},{"pid":"doi:10.7910/DVN/03U6SL","Title":"Executive Agreements Database, Statement Concerning the Agreement with Indonesia Amending The Strategic Objective Grant Agreement Of August 30, 2004, As Amended, For Improved Quality Of Decentralized Basic Education In Indonesia, with Attachment. Signed At Jakarta August 22, 2008. Entered Into Force August 22, 2008","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Indonesia Amending The Strategic Objective Grant Agreement Of August 30, 2004, As Amended, For Improved Quality Of Decentralized Basic Education In Indonesia, with Attachment. Signed At Jakarta August 22, 2008. Entered Into Force August 22, 2008' Description:'KAV 8490 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Foreign Assistance Act of 1961, as amended; Highest Rating 1 ( authorization to conclude agreements); U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Indonesia Amending The Strategic Objective Grant Agreement Of August 30, 2004, As Amended, For Improved Quality Of Decentralized Basic Education In Indonesia, with Attachment. Signed At Jakarta August 22, 2008. Entered Into Force August 22, 2008' Description:'KAV 8490 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 8490 cover memo","Subject":"Law","Keywords":"Foreign Assistance Act of 1961, as amended; Highest Rating 1 ( authorization to conclude agreements); U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/06P7WR","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States and Slovenia For Scientific And Technological Cooperation Signed At Ljubljana June 21, 1999","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Slovenia For Scientific And Technological Cooperation Signed At Ljubljana June 21, 1999' Description:'TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {22 USC 2656d; Highest Rating 2 (authorization to negotiate agreements)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Slovenia For Scientific And Technological Cooperation Signed At Ljubljana June 21, 1999' Description:'TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo","Subject":"Law","Keywords":"22 USC 2656d; Highest Rating 2 (authorization to negotiate agreements)"},{"pid":"doi:10.7910/DVN/0MLXNU","Title":"Executive Agreements Database, Background Statement Regarding Memorandum of Understanding Between The United States and The United Kingdom Concerning the Measures To Be Taken For The Transfer To and Security and Safeguarding Of MK-IV Radar Instrumentation System Technical Information, Software and Equipment In The United Kingdom Signed At Washington February 6, 1991","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Memorandum of Understanding Between The United States and The United Kingdom Concerning the Measures To Be Taken For The Transfer To and Security and Safeguarding Of MK-IV Radar Instrumentation System Technical Information, Software and Equipment In The United Kingdom Signed At Washington February 6, 1991' Description:'TIAS 11834cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {50 USC 401, note 1; Arms Export Control Act; Executive Order 12356 of April 2, 1982; Highest Rating 1 (authorization to conclude agreements)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Memorandum of Understanding Between The United States and The United Kingdom Concerning the Measures To Be Taken For The Transfer To and Security and Safeguarding Of MK-IV Radar Instrumentation System Technical Information, Software and Equipment In The United Kingdom Signed At Washington February 6, 1991' Description:'TIAS 11834cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 11834cover memo","Subject":"Law","Keywords":"50 USC 401, note 1; Arms Export Control Act; Executive Order 12356 of April 2, 1982; Highest Rating 1 (authorization to conclude agreements)"},{"pid":"doi:10.7910/DVN/07EZMT","Title":"Statement Concerning the Agreement with Sri Lanka Amending the Air Transport Agreement of June 11, 2002. Effected by exchange of notes Act Colombo September 6 and 12, 2006. Entered into Force September 12, 2006","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Statement Concerning the Agreement with Sri Lanka Amending the Air Transport Agreement of June 11, 2002. Effected by exchange of notes Act Colombo September 6 and 12, 2006. Entered into Force September 12, 2006' Description:'TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {49 USC 40105a; Highest Rating 5 (none of the above); U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Statement Concerning the Agreement with Sri Lanka Amending the Air Transport Agreement of June 11, 2002. Effected by exchange of notes Act Colombo September 6 and 12, 2006. Entered into Force September 12, 2006' Description:'TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo","Subject":"Law","Keywords":"49 USC 40105a; Highest Rating 5 (none of the above); U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0MNHLL","Title":"Executive Agreements Database, Statement Regarding the Air Transport Agreement Between The United States and Ghana, with Annexes Signed At Washington October 11, 2000 Entered Into Force August 17, 2001","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Air Transport Agreement Between The United States and Ghana, with Annexes Signed At Washington October 11, 2000 Entered Into Force August 17, 2001' Description:'TIAS 13119cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {49 USC 40105 (a); Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (executive power clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Air Transport Agreement Between The United States and Ghana, with Annexes Signed At Washington October 11, 2000 Entered Into Force August 17, 2001' Description:'TIAS 13119cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 13119cover memo","Subject":"Law","Keywords":"49 USC 40105 (a); Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (executive power clause)"},{"pid":"doi:10.7910/DVN/07MZOG","Title":"Statement Regarding Agreement Between The United States and Senegal Concerning the Status Of United States Military and Civilian Personnel of the U.S. Department Of Defense Temporarily Present In Senegal In Connection with Training, Humanitarian Relief Operations, Exercises and Other Agreed Activities Effected By Exchange Of Notes Act Dakar December 21, 2000 and January 11, 2001","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Statement Regarding Agreement Between The United States and Senegal Concerning the Status Of United States Military and Civilian Personnel of the U.S. Department Of Defense Temporarily Present In Senegal In Connection with Training, Humanitarian Relief Operations, Exercises and Other Agreed Activities Effected By Exchange Of Notes Act Dakar December 21, 2000 and January 11, 2001' Description:'KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating (Constitution only); U.S. Constitution, Article II (foreign relations clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Statement Regarding Agreement Between The United States and Senegal Concerning the Status Of United States Military and Civilian Personnel of the U.S. Department Of Defense Temporarily Present In Senegal In Connection with Training, Humanitarian Relief Operations, Exercises and Other Agreed Activities Effected By Exchange Of Notes Act Dakar December 21, 2000 and January 11, 2001' Description:'KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo","Subject":"Law","Keywords":"Highest Rating (Constitution only); U.S. Constitution, Article II (foreign relations clause)"},{"pid":"doi:10.7910/DVN/07OGEY","Title":"Executive Agreements Database, Statement Regarding the arrangement Between The United States and Finland For The Exchange Of Technical information and Cooperation In Nuclear Safety Matters, with addenda, Signed At Rockville and Helsinki Nov 19 & Dec. 31, 2001, entered into force Dec. 31, 2001","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the arrangement Between The United States and Finland For The Exchange Of Technical information and Cooperation In Nuclear Safety Matters, with addenda, Signed At Rockville and Helsinki Nov 19 & Dec. 31, 2001, entered into force Dec. 31, 2001' Description:'KAV 6662 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Atomic Energy Act of 1954, as amended, 68 Stat 919, 42 USC 2011 et seq; Energy Reorganization Act of 1974, as amended, 88 Stat 1233, 42 USC 5801; Highest Rating 1 (authorization to conclude agreements)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the arrangement Between The United States and Finland For The Exchange Of Technical information and Cooperation In Nuclear Safety Matters, with addenda, Signed At Rockville and Helsinki Nov 19 & Dec. 31, 2001, entered into force Dec. 31, 2001' Description:'KAV 6662 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 6662 cover memo","Subject":"Law","Keywords":"Atomic Energy Act of 1954, as amended, 68 Stat 919, 42 USC 2011 et seq; Energy Reorganization Act of 1974, as amended, 88 Stat 1233, 42 USC 5801; Highest Rating 1 (authorization to conclude agreements)"},{"pid":"doi:10.7910/DVN/08EYHF","Title":"Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America And The Royal Government Of Cambodia Regarding the Non Surrender Of Persons to the International Criminal Court Signed At Phnomh Penh June 27, 2003 Entered Into Force On June 29, 2005","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America And The Royal Government Of Cambodia Regarding the Non Surrender Of Persons to the International Criminal Court Signed At Phnomh Penh June 27, 2003 Entered Into Force On June 29, 2005' Description:'TIAS 05-629 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (foreign relations clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America And The Royal Government Of Cambodia Regarding the Non Surrender Of Persons to the International Criminal Court Signed At Phnomh Penh June 27, 2003 Entered Into Force On June 29, 2005' Description:'TIAS 05-629 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 05-629 cover memo","Subject":"Law","Keywords":"22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (foreign relations clause)"},{"pid":"doi:10.7910/DVN/08L2RJ","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States of America And Cameroon Regarding the Consolidation And Rescheduling Or Refinancing Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government And Its Agencies Signed At Yaounde September 12, 1994","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States of America And Cameroon Regarding the Consolidation And Rescheduling Or Refinancing Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government And Its Agencies Signed At Yaounde September 12, 1994' Description:'KAV 4069cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States of America And Cameroon Regarding the Consolidation And Rescheduling Or Refinancing Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government And Its Agencies Signed At Yaounde September 12, 1994' Description:'KAV 4069cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 4069cover memo","Subject":"Law","Keywords":"22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)"},{"pid":"doi:10.7910/DVN/0AIAGD","Title":"Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Philippines Amending The Agreement Of September 16, 1982, As Amended, Concerning Air Transport Services. Effected By Exchange Of Notes Act Washington April 24, 1989","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Philippines Amending The Agreement Of September 16, 1982, As Amended, Concerning Air Transport Services. Effected By Exchange Of Notes Act Washington April 24, 1989' Description:'TIAS 11988 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {40 Op. AG 451 (1946); Federal Aviation Act, Section 802, 49 USC 1462; Highest Rating 5 (none of the above)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Philippines Amending The Agreement Of September 16, 1982, As Amended, Concerning Air Transport Services. Effected By Exchange Of Notes Act Washington April 24, 1989' Description:'TIAS 11988 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 11988 cover memo","Subject":"Law","Keywords":"40 Op. AG 451 (1946); Federal Aviation Act, Section 802, 49 USC 1462; Highest Rating 5 (none of the above)"},{"pid":"doi:10.7910/DVN/0APHL7","Title":"Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Federal Republic Of Germany For Cooperative Research In The Field Of Helicopter Aeromechanics, with Annex Signed At Alexandria and Bonn Sept 2 and 16, 1994","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Federal Republic Of Germany For Cooperative Research In The Field Of Helicopter Aeromechanics, with Annex Signed At Alexandria and Bonn Sept 2 and 16, 1994' Description:'TIAS 12311 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {10 USC 3013(b)(4); Highest Rating 5 (none of the above)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Federal Republic Of Germany For Cooperative Research In The Field Of Helicopter Aeromechanics, with Annex Signed At Alexandria and Bonn Sept 2 and 16, 1994' Description:'TIAS 12311 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 12311 cover memo","Subject":"Law","Keywords":"10 USC 3013(b)(4); Highest Rating 5 (none of the above)"},{"pid":"doi:10.7910/DVN/0AS9ZV","Title":"Executive Agreements Database, Statement Concerning the Agreement with Liberia On Guaranty Of Private Investments Effected By Exchange Of Notes Act Monrovia December 15, 2006 Entered Into Force December 15, 2006","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia On Guaranty Of Private Investments Effected By Exchange Of Notes Act Monrovia December 15, 2006 Entered Into Force December 15, 2006' Description:'KAV 7934cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating 5 (none of the above); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, PL 95-424, 22 USC 2395a; U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia On Guaranty Of Private Investments Effected By Exchange Of Notes Act Monrovia December 15, 2006 Entered Into Force December 15, 2006' Description:'KAV 7934cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 7934cover memo","Subject":"Law","Keywords":"Highest Rating 5 (none of the above); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, PL 95-424, 22 USC 2395a; U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0B45WH","Title":"Executive Agreements Database, Background Statement Concerning Minute No. 290 of the International Boundary and Water Commission Replacement of the International Cordova Bridge of the Americas Over The Rio Grande Act El Paso, Texas Ciudad Juarez, Chihuahua Signed At Ciudad Juarez, September 21, 1993 Entered Into Force September 24, 1993","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning Minute No. 290 of the International Boundary and Water Commission Replacement of the International Cordova Bridge of the Americas Over The Rio Grande Act El Paso, Texas Ciudad Juarez, Chihuahua Signed At Ciudad Juarez, September 21, 1993 Entered Into Force September 24, 1993' Description:'KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {America-Mexican Chamizal Convention Act of 1964, (74 Stat 184); Convention between the United States and Mexico for the Solution of the Problem of the Chamizal of August 29, 1963 (TIAS 5515, 15 UST 21); Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1 (executive power clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning Minute No. 290 of the International Boundary and Water Commission Replacement of the International Cordova Bridge of the Americas Over The Rio Grande Act El Paso, Texas Ciudad Juarez, Chihuahua Signed At Ciudad Juarez, September 21, 1993 Entered Into Force September 24, 1993' Description:'KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo","Subject":"Law","Keywords":"America-Mexican Chamizal Convention Act of 1964, (74 Stat 184); Convention between the United States and Mexico for the Solution of the Problem of the Chamizal of August 29, 1963 (TIAS 5515, 15 UST 21); Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1 (executive power clause)"},{"pid":"doi:10.7910/DVN/0BA2YI","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt Amending The Grant Agreement Of June 22, 2003 For Private Sector Commodity Import Program Signed At Cairo September 28, 2004","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt Amending The Grant Agreement Of June 22, 2003 For Private Sector Commodity Import Program Signed At Cairo September 28, 2004' Description:'KAV 6990 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt Amending The Grant Agreement Of June 22, 2003 For Private Sector Commodity Import Program Signed At Cairo September 28, 2004' Description:'KAV 6990 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 6990 cover memo","Subject":"Law","Keywords":"Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)"},{"pid":"doi:10.7910/DVN/0BF3IF","Title":"Executive Agreements Database, Statement Regarding the Agreement Between The United States and Indonesia Amending The Agreement of May 8, 1992, Concerning trade In Textiles and Textile Products Effected by Exchange of Notes Act Jakarta June 16 and July 21, 1993","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Indonesia Amending The Agreement of May 8, 1992, Concerning trade In Textiles and Textile Products Effected by Exchange of Notes Act Jakarta June 16 and July 21, 1993' Description:'KAV 3639 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating 2 (authorization to negotiate agreements); Section 204 of the Agricultural Act of 1956, as amended, 7 USC 1854+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Indonesia Amending The Agreement of May 8, 1992, Concerning trade In Textiles and Textile Products Effected by Exchange of Notes Act Jakarta June 16 and July 21, 1993' Description:'KAV 3639 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 3639 cover memo","Subject":"Law","Keywords":"Highest Rating 2 (authorization to negotiate agreements); Section 204 of the Agricultural Act of 1956, as amended, 7 USC 1854"},{"pid":"doi:10.7910/DVN/0BIA6C","Title":"Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Ireland. Signed At Dublin February 5, 1997.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Ireland. Signed At Dublin February 5, 1997.' Description:'TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {49 USC App 1301 et seq; Federal Aviation Administration Act of 1958, as amended; Highest Rating 3 (authorization to furnish assistance)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Ireland. Signed At Dublin February 5, 1997.' Description:'TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo","Subject":"Law","Keywords":"49 USC App 1301 et seq; Federal Aviation Administration Act of 1958, as amended; Highest Rating 3 (authorization to furnish assistance)"},{"pid":"doi:10.7910/DVN/0BIGDK","Title":"Executive Agreements Database, Statement Regarding Acquisition And Cross-Servicing Agreement, with Annexes Between The United States and Ecuador Signed At Manaus (federal Republic Of Brazil) October 18, 2000","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Acquisition And Cross-Servicing Agreement, with Annexes Between The United States and Ecuador Signed At Manaus (federal Republic Of Brazil) October 18, 2000' Description:'KAV 5823cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating 1 (authorization to conclude agreements); NATO Mutual Support Act of 1979, as amended, 10 USC 2342(a)-(b); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Acquisition And Cross-Servicing Agreement, with Annexes Between The United States and Ecuador Signed At Manaus (federal Republic Of Brazil) October 18, 2000' Description:'KAV 5823cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 5823cover memo","Subject":"Law","Keywords":"Highest Rating 1 (authorization to conclude agreements); NATO Mutual Support Act of 1979, as amended, 10 USC 2342(a)-(b); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)"},{"pid":"doi:10.7910/DVN/0MTRL5","Title":"Executive Agreements Database, Statement Regarding the Money Order Agreement Between The United States Postal Service And The Postala Administration Of Burkina Faso","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Money Order Agreement Between The United States Postal Service And The Postala Administration Of Burkina Faso' Description:'KAV 3985cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Article 1 of the Universal Postal Union Money Orders Agreement Signed At Washington, DC on December 14, 1989; Highest Rating 1 (authorization to conclude agreements)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Money Order Agreement Between The United States Postal Service And The Postala Administration Of Burkina Faso' Description:'KAV 3985cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 3985cover memo","Subject":"Law","Keywords":"Article 1 of the Universal Postal Union Money Orders Agreement Signed At Washington, DC on December 14, 1989; Highest Rating 1 (authorization to conclude agreements)"},{"pid":"doi:10.7910/DVN/0CINXZ","Title":"Executive Agreements Database, Statement Regarding Memorandum of Understanding Between The United States and Canada For The Test And Evaluation Program (tep) Cooperation, with Annexes. Signed At Las Vegas, Nevada, On September 10, 2002. Entered Into Force On September 10, 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Memorandum of Understanding Between The United States and Canada For The Test And Evaluation Program (tep) Cooperation, with Annexes. Signed At Las Vegas, Nevada, On September 10, 2002. Entered Into Force On September 10, 2002' Description:'TIAS 02-910 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {10 USC 2350a-b; 10 USC 2350i; 10 USC 2350(l); Arms Export Control Act; Highest Rating 1 (authorization to conclude agreements); Section 27 (22 USC 2767); U.S. Constitution, Article II (commander in chief clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Memorandum of Understanding Between The United States and Canada For The Test And Evaluation Program (tep) Cooperation, with Annexes. Signed At Las Vegas, Nevada, On September 10, 2002. Entered Into Force On September 10, 2002' Description:'TIAS 02-910 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 02-910 cover memo","Subject":"Law","Keywords":"10 USC 2350a-b; 10 USC 2350i; 10 USC 2350(l); Arms Export Control Act; Highest Rating 1 (authorization to conclude agreements); Section 27 (22 USC 2767); U.S. Constitution, Article II (commander in chief clause)"},{"pid":"doi:10.7910/DVN/0COUBY","Title":"Executive Agreements Database, Background Statement Concerning the Agreement Between The United States and Perú Extending The Air Transport Services Agreement of December 16, 1986, As Extended. effected By Exchange Of Notes Act Lima may 24 & June 8, 1994. entered Into Force June 8, 1994.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement Between The United States and Perú Extending The Air Transport Services Agreement of December 16, 1986, As Extended. effected By Exchange Of Notes Act Lima may 24 & June 8, 1994. entered Into Force June 8, 1994.' Description:'KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating 5 (none of the above); Section 802 of the Federal Aviation Act of 1958, as amended (49 USC 1462; U.S. Constitution, Article II, Sec. 1 (executive power clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement Between The United States and Perú Extending The Air Transport Services Agreement of December 16, 1986, As Extended. effected By Exchange Of Notes Act Lima may 24 & June 8, 1994. entered Into Force June 8, 1994.' Description:'KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo","Subject":"Law","Keywords":"Highest Rating 5 (none of the above); Section 802 of the Federal Aviation Act of 1958, as amended (49 USC 1462; U.S. Constitution, Article II, Sec. 1 (executive power clause)"},{"pid":"doi:10.7910/DVN/0D8TOF","Title":"Executive Agreements Database, Statement Regarding the Agreement Between The United States and Japan Concerning Cooperation On The X-Ray Astronomy Satellite (ASTRO-E) Program Effected By Exchange Of Notes Act Washington November 30, 1998 Entered Into Force November 30, 1998","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Japan Concerning Cooperation On The X-Ray Astronomy Satellite (ASTRO-E) Program Effected By Exchange Of Notes Act Washington November 30, 1998 Entered Into Force November 30, 1998' Description:'KAV 6148cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {42 USC 2451(d)(7); 42 USC 2475; Highest Rating 4 (authorization to engage in international cooperation or establish a program); National Aeronautics and Space Act of 1958, as amended, 42 USC 2451 et seq+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Japan Concerning Cooperation On The X-Ray Astronomy Satellite (ASTRO-E) Program Effected By Exchange Of Notes Act Washington November 30, 1998 Entered Into Force November 30, 1998' Description:'KAV 6148cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 6148cover memo","Subject":"Law","Keywords":"42 USC 2451(d)(7); 42 USC 2475; Highest Rating 4 (authorization to engage in international cooperation or establish a program); National Aeronautics and Space Act of 1958, as amended, 42 USC 2451 et seq"},{"pid":"doi:10.7910/DVN/0DQOIR","Title":"Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Amending The Strategic Objective Grant Agreement Of September 19, 2005, As Amended, To Provide Support For Programs To Archive Strategic Development Objectives, with Attachments. Signed At Kabul April 10, 2008. Entered Into Force April 10, 2008.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Amending The Strategic Objective Grant Agreement Of September 19, 2005, As Amended, To Provide Support For Programs To Archive Strategic Development Objectives, with Attachments. Signed At Kabul April 10, 2008. Entered Into Force April 10, 2008.' Description:'KAV 8408 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Amending The Strategic Objective Grant Agreement Of September 19, 2005, As Amended, To Provide Support For Programs To Archive Strategic Development Objectives, with Attachments. Signed At Kabul April 10, 2008. Entered Into Force April 10, 2008.' Description:'KAV 8408 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 8408 cover memo","Subject":"Law","Keywords":"Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0EBUUJ","Title":"Executive Agreements Database, Statement Concerning the Agreement with Liberia Regarding the Provision Of Articles and Services Pursuant To Section 1206 of the National Defense Authorization Act For Fiscal Year 2007, As Modified and Extended, Or Successor Legislation. Effected By Exchange Of Notes Act Monrovia July 30 and August 1, 2007. Entered Into Force August 1, 2007.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia Regarding the Provision Of Articles and Services Pursuant To Section 1206 of the National Defense Authorization Act For Fiscal Year 2007, As Modified and Extended, Or Successor Legislation. Effected By Exchange Of Notes Act Monrovia July 30 and August 1, 2007. Entered Into Force August 1, 2007.' Description:'KAV 8203cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating 4 (authorization to engage in international cooperation or establish a program); Section 1206 of the National Defense Authorization Act for FY 2007 (PL 109- 364); U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia Regarding the Provision Of Articles and Services Pursuant To Section 1206 of the National Defense Authorization Act For Fiscal Year 2007, As Modified and Extended, Or Successor Legislation. Effected By Exchange Of Notes Act Monrovia July 30 and August 1, 2007. Entered Into Force August 1, 2007.' Description:'KAV 8203cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 8203cover memo","Subject":"Law","Keywords":"Highest Rating 4 (authorization to engage in international cooperation or establish a program); Section 1206 of the National Defense Authorization Act for FY 2007 (PL 109- 364); U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0EGYWY","Title":"The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables' Description:'The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' Subject:' Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {European Union; Law; Text Analysis; Text-As-Data+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables' Description:'The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' Subject:'Computer and Information Science; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735","Subject":" Law","Keywords":"European Union; Law; Text Analysis; Text-As-Data"},{"pid":"doi:10.7910/DVN/0EU7FO","Title":"Executive Agreements Database, Statement Regarding the Agreement with Mexico Concerning Health Care For Military Members and Their Dependents Signed March 10 and 27, 2008 Entered Into Force March 27, 2008","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement with Mexico Concerning Health Care For Military Members and Their Dependents Signed March 10 and 27, 2008 Entered Into Force March 27, 2008' Description:'KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {10 USC 2559; Highest Rating 3 (authorization to furnish assistance; U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement with Mexico Concerning Health Care For Military Members and Their Dependents Signed March 10 and 27, 2008 Entered Into Force March 27, 2008' Description:'KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo","Subject":"Law","Keywords":"10 USC 2559; Highest Rating 3 (authorization to furnish assistance; U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0EVFGN","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States, The United Kingdom and The Turks and Caicos Islands Amending The Memorandum of Understanding To Establish In The Turks and Caicos Islands A Processing Facility To Determine The Refugee Status Of Boat People From Haiti Signed At Grand Turk June 18, 1994 Effected By Exchange Of Letters Act Grand Turk and London July 13, 1994","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States, The United Kingdom and The Turks and Caicos Islands Amending The Memorandum of Understanding To Establish In The Turks and Caicos Islands A Processing Facility To Determine The Refugee Status Of Boat People From Haiti Signed At Grand Turk June 18, 1994 Effected By Exchange Of Letters Act Grand Turk and London July 13, 1994' Description:'KAV 3949cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {14 USC 141; 14 USC 88-89; 22 USC 2601; 8 USC 1103; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II (foreign relations clause) (commander in chief clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States, The United Kingdom and The Turks and Caicos Islands Amending The Memorandum of Understanding To Establish In The Turks and Caicos Islands A Processing Facility To Determine The Refugee Status Of Boat People From Haiti Signed At Grand Turk June 18, 1994 Effected By Exchange Of Letters Act Grand Turk and London July 13, 1994' Description:'KAV 3949cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 3949cover memo","Subject":"Law","Keywords":"14 USC 141; 14 USC 88-89; 22 USC 2601; 8 USC 1103; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II (foreign relations clause) (commander in chief clause)"},{"pid":"doi:10.7910/DVN/0F2YS0","Title":"Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States Army and The Australian Defence Force Regarding Liaison Officers Signed Arlington February 15, 2002 Entered Into Force February 15, 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States Army and The Australian Defence Force Regarding Liaison Officers Signed Arlington February 15, 2002 Entered Into Force February 15, 2002' Description:'KAV 6977 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {10 USC 3013; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States Army and The Australian Defence Force Regarding Liaison Officers Signed Arlington February 15, 2002 Entered Into Force February 15, 2002' Description:'KAV 6977 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 6977 cover memo","Subject":"Law","Keywords":"10 USC 3013; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)"},{"pid":"doi:10.7910/DVN/0FBUTI","Title":"Executive Agreements Database, Statement Concerning the Agreement with Burundi Regarding Grants Under The Foreign Assistance Act Of 1961 As Amended Or Successor Legislation, And The Furnishing Of Defense Articles, Defense Services And Related Training, Including Pursuant to the United States International Military And Education Training Program (imet) Program. Effected By Exchange Of Notes Act Bujumbura June 13, 2006 And August 8, 2007. Entered Into Force August 8, 2007.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Burundi Regarding Grants Under The Foreign Assistance Act Of 1961 As Amended Or Successor Legislation, And The Furnishing Of Defense Articles, Defense Services And Related Training, Including Pursuant to the United States International Military And Education Training Program (imet) Program. Effected By Exchange Of Notes Act Bujumbura June 13, 2006 And August 8, 2007. Entered Into Force August 8, 2007.' Description:'KAV 8133cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Foreign Assistance Act of 1961, as amended, Sections 503, 505, 541; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Burundi Regarding Grants Under The Foreign Assistance Act Of 1961 As Amended Or Successor Legislation, And The Furnishing Of Defense Articles, Defense Services And Related Training, Including Pursuant to the United States International Military And Education Training Program (imet) Program. Effected By Exchange Of Notes Act Bujumbura June 13, 2006 And August 8, 2007. Entered Into Force August 8, 2007.' Description:'KAV 8133cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 8133cover memo","Subject":"Law","Keywords":"Foreign Assistance Act of 1961, as amended, Sections 503, 505, 541; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0G6YZL","Title":"Executive Agreements Database, Background Statement Concerning the Wildfire Protection Agreement For The Common Border Between The United States and Mexico Signed At Mexico City June 4, 1999","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Wildfire Protection Agreement For The Common Border Between The United States and Mexico Signed At Mexico City June 4, 1999' Description:'TIAS 13039 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating 1 (authorization to conclude agreements); Section 3(a)(1) of the 1989 Wildfire Suppression Assistance Act (42 USC 1856n(a)(1)); U.S. Constitution, Article II, Sec. 1 (executive power clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Wildfire Protection Agreement For The Common Border Between The United States and Mexico Signed At Mexico City June 4, 1999' Description:'TIAS 13039 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 13039 cover memo","Subject":"Law","Keywords":"Highest Rating 1 (authorization to conclude agreements); Section 3(a)(1) of the 1989 Wildfire Suppression Assistance Act (42 USC 1856n(a)(1)); U.S. Constitution, Article II, Sec. 1 (executive power clause)"},{"pid":"doi:10.7910/DVN/0GJDH6","Title":"Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America and The Government Of Jamaica Regarding the Sharing Of Forfeited Assets Or The Proceeds Of Disposition Of Such Assets Signed At Kingston August 22, 2001 Entered Into Force August 22, 2001","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America and The Government Of Jamaica Regarding the Sharing Of Forfeited Assets Or The Proceeds Of Disposition Of Such Assets Signed At Kingston August 22, 2001 Entered Into Force August 22, 2001' Description:'TIAS 01-822 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {18 USC 981(i)(1); 19 USC 1616a(c)(2); 21 USC 881(e)(1)(E); 31 USC 9703(h)(2); Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 2, Sec. 3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America and The Government Of Jamaica Regarding the Sharing Of Forfeited Assets Or The Proceeds Of Disposition Of Such Assets Signed At Kingston August 22, 2001 Entered Into Force August 22, 2001' Description:'TIAS 01-822 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 01-822 cover memo","Subject":"Law","Keywords":"18 USC 981(i)(1); 19 USC 1616a(c)(2); 21 USC 881(e)(1)(E); 31 USC 9703(h)(2); Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 2, Sec. 3"},{"pid":"doi:10.7910/DVN/0GNEIT","Title":"Executive Agreements Database, Statement Regarding Agreement Concerning the Status Of United States Personnel Who May Be Present In Guatemala. Effected By Exchange Of Notes Act Guatemala September 8 and 19, 2005. Entered Into Force November 2, 2005","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Concerning the Status Of United States Personnel Who May Be Present In Guatemala. Effected By Exchange Of Notes Act Guatemala September 8 and 19, 2005. Entered Into Force November 2, 2005' Description:'KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {10 USC 168; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1, Sec. 2 (foreign relations clause) (commander in chief clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Concerning the Status Of United States Personnel Who May Be Present In Guatemala. Effected By Exchange Of Notes Act Guatemala September 8 and 19, 2005. Entered Into Force November 2, 2005' Description:'KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo","Subject":"Law","Keywords":"10 USC 168; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1, Sec. 2 (foreign relations clause) (commander in chief clause)"},{"pid":"doi:10.7910/DVN/0GNJNH","Title":"Executive Agreements Database, Statement Concerning Amendment Two to the Agreement Regarding Cooperative System Development and Demonstration of the Rolling Airframe Missile Block 2 Upgrade to the Mk 31 Guided Missile Weapon System Of May 11, 2007 Klobenz and Washington November 18 and 26, 2014 Entered Into Force November 26, 2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning Amendment Two to the Agreement Regarding Cooperative System Development and Demonstration of the Rolling Airframe Missile Block 2 Upgrade to the Mk 31 Guided Missile Weapon System Of May 11, 2007 Klobenz and Washington November 18 and 26, 2014 Entered Into Force November 26, 2014' Description:'First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Arms Export Control Act, Section 27; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning Amendment Two to the Agreement Regarding Cooperative System Development and Demonstration of the Rolling Airframe Missile Block 2 Upgrade to the Mk 31 Guided Missile Weapon System Of May 11, 2007 Klobenz and Washington November 18 and 26, 2014 Entered Into Force November 26, 2014' Description:'First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo","Subject":"Law","Keywords":"Arms Export Control Act, Section 27; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0GXJYN","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of Nov 8, 1983, As Amended,for The Transfer Of Defense Related Technologies Effected By Exchange Of Notes Act Tokyo Feb 6, 1998","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of Nov 8, 1983, As Amended,for The Transfer Of Defense Related Technologies Effected By Exchange Of Notes Act Tokyo Feb 6, 1998' Description:'KAV 5122cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Article II of the US Japan Mutual Defense Assistance Agreement, Signed At Tokyo March 8, 1954 (TIAS 2957; 5 UST 661); Highest Rating 4 (authorization to engage in international cooperation or establish a program)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of Nov 8, 1983, As Amended,for The Transfer Of Defense Related Technologies Effected By Exchange Of Notes Act Tokyo Feb 6, 1998' Description:'KAV 5122cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 5122cover memo","Subject":"Law","Keywords":"Article II of the US Japan Mutual Defense Assistance Agreement, Signed At Tokyo March 8, 1954 (TIAS 2957; 5 UST 661); Highest Rating 4 (authorization to engage in international cooperation or establish a program)"},{"pid":"doi:10.7910/DVN/0GXR3H","Title":"Executive Agreements Database, Statement Regarding United States-France Agreement Relating to the Employment of Dependents Of Government Employees, Effected by Exchange of Notes Act Paris, December 30, 1988","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding United States-France Agreement Relating to the Employment of Dependents Of Government Employees, Effected by Exchange of Notes Act Paris, December 30, 1988' Description:'KAV 641 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highest Rating 1 (authorization to conclude agreements); Section 401(a) of PL 95-426 (92 Stat 977); Section 4 of the Diplomatic Relations Act of 1978 (22 USCA, 1254c); Section 706(b)(1) of PL 96-465 (94 Stat 2071); U.S. Constitution, Article II, Sec. 1, Sec. 3 (foreign relations clause) (receiving ambassadors clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding United States-France Agreement Relating to the Employment of Dependents Of Government Employees, Effected by Exchange of Notes Act Paris, December 30, 1988' Description:'KAV 641 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 641 cover memo","Subject":"Law","Keywords":"Highest Rating 1 (authorization to conclude agreements); Section 401(a) of PL 95-426 (92 Stat 977); Section 4 of the Diplomatic Relations Act of 1978 (22 USCA, 1254c); Section 706(b)(1) of PL 96-465 (94 Stat 2071); U.S. Constitution, Article II, Sec. 1, Sec. 3 (foreign relations clause) (receiving ambassadors clause)"},{"pid":"doi:10.7910/DVN/0H8IIP","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt On Science and Technology Cooperation Signed At Cairo March 20, 1995","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt On Science and Technology Cooperation Signed At Cairo March 20, 1995' Description:'TIAS 12617 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt On Science and Technology Cooperation Signed At Cairo March 20, 1995' Description:'TIAS 12617 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 12617 cover memo","Subject":"Law","Keywords":"22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)"},{"pid":"doi:10.7910/DVN/0HFBE9","Title":"Executive Agreements Database, Statement Concerning the Agreement with Gambia Concerning Operational Cooperation To Suppress Illicit Transnational Maritime Activity Signed At Banjul October 10, 2011 Entered Into Force October 10, 2011","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Gambia Concerning Operational Cooperation To Suppress Illicit Transnational Maritime Activity Signed At Banjul October 10, 2011 Entered Into Force October 10, 2011' Description:'TIAS 11-1010cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {22 USC 2291(a)(2); 22 USC 2656; Highest 1 (authorization to conclude agreements); U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Gambia Concerning Operational Cooperation To Suppress Illicit Transnational Maritime Activity Signed At Banjul October 10, 2011 Entered Into Force October 10, 2011' Description:'TIAS 11-1010cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 11-1010cover memo","Subject":"Law","Keywords":"22 USC 2291(a)(2); 22 USC 2656; Highest 1 (authorization to conclude agreements); U.S. Constitution, Article II"},{"pid":"doi:10.7910/DVN/0HJJQ9","Title":"Executive Agreements Database, Statement Regarding Supplemental Agreement Between The United States and The European Police Office To Exchange Personal Data and Related Information Signed At Copenhagen December 20, 2002 Entered Into Force December 21, 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Supplemental Agreement Between The United States and The European Police Office To Exchange Personal Data and Related Information Signed At Copenhagen December 20, 2002 Entered Into Force December 21, 2002' Description:'TIAS 01-1207First signed 12/20/2002Last signed 12/20/2002Entry into force (supplemented by last signed) 12/21/2002stamped 03-146C06542983cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Supplemental Agreement Between The United States and The European Police Office To Exchange Personal Data and Related Information Signed At Copenhagen December 20, 2002 Entered Into Force December 21, 2002' Description:'TIAS 01-1207First signed 12/20/2002Last signed 12/20/2002Entry into force (supplemented by last signed) 12/21/2002stamped 03-146C06542983cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 01-1207First signed 12/20/2002Last signed 12/20/2002Entry into force (supplemented by last signed) 12/21/2002stamped 03-146C06542983cover memo","Subject":"Law","Keywords":"22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)"},{"pid":"doi:10.7910/DVN/0HSTHD","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States and Pakistan Regarding the Consolidation and Rescheduling Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government and Its Agencies Signed At Islamabad November 26, 1999","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Pakistan Regarding the Consolidation and Rescheduling Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government and Its Agencies Signed At Islamabad November 26, 1999' Description:'KAV 5690 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {12 USC 635(a)(1); 42 Op Att'y Gen 421 (1970); Arms Export Control Act, 22 USC 2763; Highest Rating 1 (authorization to conclude agreements); Section 4 of the Commodity Credit Corporation Charter Act, 15 USC 714b(l) and (m); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, 22 USC 2395a; Section 635(g) of Foreign Assistance Act of 1961, as amended, 22 USC 2395(g)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Pakistan Regarding the Consolidation and Rescheduling Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government and Its Agencies Signed At Islamabad November 26, 1999' Description:'KAV 5690 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 5690 cover memo","Subject":"Law","Keywords":"12 USC 635(a)(1); 42 Op Att'y Gen 421 (1970); Arms Export Control Act, 22 USC 2763; Highest Rating 1 (authorization to conclude agreements); Section 4 of the Commodity Credit Corporation Charter Act, 15 USC 714b(l) and (m); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, 22 USC 2395a; Section 635(g) of Foreign Assistance Act of 1961, as amended, 22 USC 2395(g)"},{"pid":"doi:10.7910/DVN/0ICPL8","Title":"Executive Agreements Database, Statement Regarding Amendment No. 2 to the Strategic Objective Grant Agreement Between The United States and Bolivia For Reducing Environmental Degradation and Protecting Biodiversity Signed At La Paz July 28, 1998.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Amendment No. 2 to the Strategic Objective Grant Agreement Between The United States and Bolivia For Reducing Environmental Degradation and Protecting Biodiversity Signed At La Paz July 28, 1998.' Description:'KAV 6882cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Amendment No. 2 to the Strategic Objective Grant Agreement Between The United States and Bolivia For Reducing Environmental Degradation and Protecting Biodiversity Signed At La Paz July 28, 1998.' Description:'KAV 6882cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 6882cover memo","Subject":"Law","Keywords":"Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)"},{"pid":"doi:10.7910/DVN/0IMMSU","Title":"Executive Agreements Database, Statement Regarding Agreement Between The United States and Uzbekistan Concerning Cooperation In The Area Of Demilitarization Of Biological Weapons Associated Facilities and The Prevention Of Proliferation Of Biological Weapons Technology Signed At Tashkent Oct 22, 2001 Entered Into Force Oct 22 2001","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Uzbekistan Concerning Cooperation In The Area Of Demilitarization Of Biological Weapons Associated Facilities and The Prevention Of Proliferation Of Biological Weapons Technology Signed At Tashkent Oct 22, 2001 Entered Into Force Oct 22 2001' Description:'KAV 5957 cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cooperative Threat Reduction Act of 1993, as amended, 22 USC 5951-5958; Highest Rating 4 (authorization to engage in international cooperation or establish a program)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Uzbekistan Concerning Cooperation In The Area Of Demilitarization Of Biological Weapons Associated Facilities and The Prevention Of Proliferation Of Biological Weapons Technology Signed At Tashkent Oct 22, 2001 Entered Into Force Oct 22 2001' Description:'KAV 5957 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 5957 cover memo","Subject":"Law","Keywords":"Cooperative Threat Reduction Act of 1993, as amended, 22 USC 5951-5958; Highest Rating 4 (authorization to engage in international cooperation or establish a program)"},{"pid":"doi:10.7910/DVN/0KDIPM","Title":"Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Spain. Signed At Washington September 23, 1999","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Spain. Signed At Washington September 23, 1999' Description:'TIAS 13064cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Federal Aviation Act of 1958, as amended, Sections 40104 and 40113; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 1 (executive power clause)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Spain. Signed At Washington September 23, 1999' Description:'TIAS 13064cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"TIAS 13064cover memo","Subject":"Law","Keywords":"Federal Aviation Act of 1958, as amended, Sections 40104 and 40113; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 1 (executive power clause)"},{"pid":"doi:10.7910/DVN/0KZSIW","Title":"Executive Agreements Database, Statement Concerning the Agreement with Perú Concerning the Millennium Challenge Account Threshold Program To Combat Corruption and Increase Immunization Rates, with Annexes Signed At Lima June 9, 2008 Entered Into Force June 9, 2008","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Perú Concerning the Millennium Challenge Account Threshold Program To Combat Corruption and Increase Immunization Rates, with Annexes Signed At Lima June 9, 2008 Entered Into Force June 9, 2008' Description:'KAV 8431First signed 06/09/2008Last signed 06/09/2008Entry into force (supplemented by last signed) 06/09/2008CAR 2008-119stamped 08-119C06572694cover memo' Subject:'Law'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); Section 616 of the Millennium Challenge Act of 2003; U.S. Constitution, Article II+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Perú Concerning the Millennium Challenge Account Threshold Program To Combat Corruption and Increase Immunization Rates, with Annexes Signed At Lima June 9, 2008 Entered Into Force June 9, 2008' Description:'KAV 8431First signed 06/09/2008Last signed 06/09/2008Entry into force (supplemented by last signed) 06/09/2008CAR 2008-119stamped 08-119C06572694cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"KAV 8431First signed 06/09/2008Last signed 06/09/2008Entry into force (supplemented by last signed) 06/09/2008CAR 2008-119stamped 08-119C06572694cover memo","Subject":"Law","Keywords":"Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); Section 616 of the Millennium Challenge Act of 2003; U.S. Constitution, Article II"},{"pid":"doi:10.21421/D2/DOYRML","Title":"Phenotypic evaluation data of short duration Pigeonpea varieties trial for year 2016-17","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Phenotypic evaluation data of short duration Pigeonpea varieties trial for year 2016-17' Description:'This database contains phenotypic evaluation data of short duration Pigeon pea varietal trials for year 2016-17. The research work carried out at ICRISAT Center, Patancheru. Pigeonpea is a very important grain legume crop for food other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated in years 2015 were presented herewith. The trial details and plot sizes were given. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones. Experiment location on Google Map ' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Days to 50% flowering; Entry number; Grain weight per plot; Pigeonpea; Plant height; Plant stand; Replication number; Seeds per pod; Weight of 100 seeds+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Phenotypic evaluation data of short duration Pigeonpea varieties trial for year 2016-17' Description:'This database contains phenotypic evaluation data of short duration Pigeon pea varietal trials for year 2016-17. The research work carried out at ICRISAT Center, Patancheru. Pigeonpea is a very important grain legume crop for food other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated in years 2015 were presented herewith. The trial details and plot sizes were given. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones. Experiment location on Google Map ' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This database contains phenotypic evaluation data of short duration Pigeon pea varietal trials for year 2016-17. The research work carried out at ICRISAT Center, Patancheru. Pigeonpea is a very important grain legume crop for food other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated in years 2015 were presented herewith. The trial details and plot sizes were given. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones. Experiment location on Google Map ","Subject":"Agricultural Sciences","Keywords":"Days to 50% flowering; Entry number; Grain weight per plot; Pigeonpea; Plant height; Plant stand; Replication number; Seeds per pod; Weight of 100 seeds"},{"pid":"doi:10.17528/CIFOR/DATA.00086","Title":"Replication Data for: Impacts of drought and responses of rural populations in West Africa: a systematic review","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impacts of drought and responses of rural populations in West Africa: a systematic review' Description:'LIst of selected articles use to conducted a systematic review of the subject.The queries is described in the supporting information documents.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {climate change; Climate Change, Energy and low carbon development (CCE); drought; systematic reviews+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impacts of drought and responses of rural populations in West Africa: a systematic review' Description:'LIst of selected articles use to conducted a systematic review of the subject.The queries is described in the supporting information documents.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"LIst of selected articles use to conducted a systematic review of the subject.The queries is described in the supporting information documents.","Subject":"Agricultural Sciences","Keywords":"climate change; Climate Change, Energy and low carbon development (CCE); drought; systematic reviews"},{"pid":"doi:10.18710/2LXWNW","Title":"Replication Data for 'Different protein sources in concentrate feed to dairy cows affects cheese making properties and yield'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Different protein sources in concentrate feed to dairy cows affects cheese making properties and yield'' Description:'Norwegian Red dairy cows (n = 48) in early/mid lactation were divided in three groups and fed a ration consisting of grass silage and concentrate, where the concentrates were barley based but with different additional protein sources. These were: completely barley-based with no additional protein source (BAR), additional protein from soybean meal (SMB) or additional protein from yeast (Cyberlindnera jadinii) (YEA). The SBM and YEA concentrates had a higher protein content than the barley concentrate. Four batches of cheese were made from pooled milk from each of the three groups of dairy cows and individual milk samples were collected five times during the experiment and were analysed.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cheese making efficiency; Cheese yield; Effect on feed on cheese+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Different protein sources in concentrate feed to dairy cows affects cheese making properties and yield'' Description:'Norwegian Red dairy cows (n = 48) in early/mid lactation were divided in three groups and fed a ration consisting of grass silage and concentrate, where the concentrates were barley based but with different additional protein sources. These were: completely barley-based with no additional protein source (BAR), additional protein from soybean meal (SMB) or additional protein from yeast (Cyberlindnera jadinii) (YEA). The SBM and YEA concentrates had a higher protein content than the barley concentrate. Four batches of cheese were made from pooled milk from each of the three groups of dairy cows and individual milk samples were collected five times during the experiment and were analysed.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Norwegian Red dairy cows (n = 48) in early/mid lactation were divided in three groups and fed a ration consisting of grass silage and concentrate, where the concentrates were barley based but with different additional protein sources. These were: completely barley-based with no additional protein source (BAR), additional protein from soybean meal (SMB) or additional protein from yeast (Cyberlindnera jadinii) (YEA). The SBM and YEA concentrates had a higher protein content than the barley concentrate. Four batches of cheese were made from pooled milk from each of the three groups of dairy cows and individual milk samples were collected five times during the experiment and were analysed.","Subject":"Agricultural Sciences","Keywords":"Cheese making efficiency; Cheese yield; Effect on feed on cheese"},{"pid":"doi:10.18710/3JGCCO","Title":"Replicate data on: Roots and other residues from leys with or without red clover; quality and effects on N2O Emission Factor after ploughing","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replicate data on: Roots and other residues from leys with or without red clover; quality and effects on N2O Emission Factor after ploughing' Description:'Detailed data of the soil characteristics, field management, amount and N content of below (roots +crown) and above (stubble and herbage) ground grass mixture, red clover and red clover grass swards at the end of the 3rd production year, together with fluxes of greenhouse gas emissions (N2O, CO2, CH4) and soil air composition (CO2, N2O, CH4, N2 and O2) of a field experiment in Norway.These data supplement the findings presented in the corresponding research article “Roots and other residues from ley with or without red clover: quality and effects on N2O Emission Factor after ploughing”. For understanding of the effects of incorporating ley above and below ground residues on cumulative greenhouse emissions refer to article from this research.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CH4; Crop residue; Denitrification; Freezing; GHG; Low temperature; Snow; Thawing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replicate data on: Roots and other residues from leys with or without red clover; quality and effects on N2O Emission Factor after ploughing' Description:'Detailed data of the soil characteristics, field management, amount and N content of below (roots +crown) and above (stubble and herbage) ground grass mixture, red clover and red clover grass swards at the end of the 3rd production year, together with fluxes of greenhouse gas emissions (N2O, CO2, CH4) and soil air composition (CO2, N2O, CH4, N2 and O2) of a field experiment in Norway.These data supplement the findings presented in the corresponding research article “Roots and other residues from ley with or without red clover: quality and effects on N2O Emission Factor after ploughing”. For understanding of the effects of incorporating ley above and below ground residues on cumulative greenhouse emissions refer to article from this research.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Detailed data of the soil characteristics, field management, amount and N content of below (roots +crown) and above (stubble and herbage) ground grass mixture, red clover and red clover grass swards at the end of the 3rd production year, together with fluxes of greenhouse gas emissions (N2O, CO2, CH4) and soil air composition (CO2, N2O, CH4, N2 and O2) of a field experiment in Norway.These data supplement the findings presented in the corresponding research article “Roots and other residues from ley with or without red clover: quality and effects on N2O Emission Factor after ploughing”. For understanding of the effects of incorporating ley above and below ground residues on cumulative greenhouse emissions refer to article from this research.","Subject":"Agricultural Sciences","Keywords":"CH4; Crop residue; Denitrification; Freezing; GHG; Low temperature; Snow; Thawing"},{"pid":"doi:10.18738/T8/SZU18S","Title":"Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {1972-1990; 20th century; Cuban Revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.","Subject":"Agricultural Sciences","Keywords":"1972-1990; 20th century; Cuban Revolution"},{"pid":"doi:10.18710/DSAPAP","Title":"Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p assistant Answer : {corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.","Subject":"Agricultural Sciences","Keywords":"corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops"},{"pid":"doi:10.18710/DSAPAP","Title":"Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.","Subject":"Agricultural Sciences","Keywords":"corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops"},{"pid":"doi:10.18710/H5G3K5","Title":"NorFisk Dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'NorFisk Dataset' Description:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'NorFisk Dataset' Description:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' Subject:'Agricultural Sciences; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.","Subject":"Agricultural Sciences","Keywords":"Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition"},{"pid":"doi:10.18738/T8/BJ0MRQ","Title":"Inventory of feed prices and quality across major feed market places in southern Ethiopia","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Inventory of feed prices and quality across major feed market places in southern Ethiopia' Description:'The data set presents feed types, prices and quality of feed resources traded in major market places in southern Ethiopia' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Fodder market, prices, feed quality+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Inventory of feed prices and quality across major feed market places in southern Ethiopia' Description:'The data set presents feed types, prices and quality of feed resources traded in major market places in southern Ethiopia' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data set presents feed types, prices and quality of feed resources traded in major market places in southern Ethiopia","Subject":"Agricultural Sciences","Keywords":"Fodder market, prices, feed quality"},{"pid":"doi:10.18710/HN1J3E","Title":"Replicate Data for: Soil pH-increase strongly mitigated N2O emissions following ploughing of grass and clover swards in autumn: a winter field study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replicate Data for: Soil pH-increase strongly mitigated N2O emissions following ploughing of grass and clover swards in autumn: a winter field study' Description:'These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Crop residue; Denitrification; Emission reduction; Freeze-Thaw; GHG;; Grass; Leguminous; Litter; Low temperature; Nitrification; Nitrous oxide; Red clover; Snow melting; Soil pH; Winter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replicate Data for: Soil pH-increase strongly mitigated N2O emissions following ploughing of grass and clover swards in autumn: a winter field study' Description:'These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.","Subject":"Agricultural Sciences","Keywords":"Crop residue; Denitrification; Emission reduction; Freeze-Thaw; GHG;; Grass; Leguminous; Litter; Low temperature; Nitrification; Nitrous oxide; Red clover; Snow melting; Soil pH; Winter"},{"pid":"doi:10.18710/HTCXRN","Title":"An RNA-seq time series of the medaka pituitary gland during sexual maturation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'An RNA-seq time series of the medaka pituitary gland during sexual maturation' Description:'Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Histology; Medaka; Pituitary gland; Teleost fish; Transcriptomics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'An RNA-seq time series of the medaka pituitary gland during sexual maturation' Description:'Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.' Subject:'Agricultural Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.","Subject":"Agricultural Sciences","Keywords":"Histology; Medaka; Pituitary gland; Teleost fish; Transcriptomics"},{"pid":"doi:10.18710/I6BD3R","Title":"Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia' Description:'The data report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Crotalaria (C. juncea) into nitrogen (N) and phosphorous (P) fertilized maize 3 and 6 weeks after sowing of maize. The forage legumes were harvested at flowering and half of the biomass was returned to the same plots as mulch in the first season. In the second season, N fertilization was halved in mulched plots. Intercropping effects are evaluated against fully and non-fertilized maize treatments. The results are published in Raji SG and Dörsch P, Biogesciences, https://doi.org/10.5194/bg-2019-303' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {agriculture; climate smart agriculture; greenhouse gas emissions; subsaharan Africa+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia' Description:'The data report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Crotalaria (C. juncea) into nitrogen (N) and phosphorous (P) fertilized maize 3 and 6 weeks after sowing of maize. The forage legumes were harvested at flowering and half of the biomass was returned to the same plots as mulch in the first season. In the second season, N fertilization was halved in mulched plots. Intercropping effects are evaluated against fully and non-fertilized maize treatments. The results are published in Raji SG and Dörsch P, Biogesciences, https://doi.org/10.5194/bg-2019-303' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Crotalaria (C. juncea) into nitrogen (N) and phosphorous (P) fertilized maize 3 and 6 weeks after sowing of maize. The forage legumes were harvested at flowering and half of the biomass was returned to the same plots as mulch in the first season. In the second season, N fertilization was halved in mulched plots. Intercropping effects are evaluated against fully and non-fertilized maize treatments. The results are published in Raji SG and Dörsch P, Biogesciences, https://doi.org/10.5194/bg-2019-303","Subject":"Agricultural Sciences","Keywords":"agriculture; climate smart agriculture; greenhouse gas emissions; subsaharan Africa"},{"pid":"doi:10.21223/P3/CYD0PI","Title":"Replication Data for: ‘NASPOT 12 O’ and ‘NASPOT 13 O’ Sweetpotato","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ‘NASPOT 12 O’ and ‘NASPOT 13 O’ Sweetpotato' Description:'The data set has on-station advanced yied trials for 2011 to 2012 for Kachwekano, Ngetta, Serere, and Namulonge, and 2012 on-farm trials for Isingiro, Buyende, Rakai, Oyam, and Kabale districts in in Uganda. The data is in CloneSelector format or Excel and format for Sweetpotato Breeding Protocol (manual) (http://www.sweetpotatoknowledge.org/). The on-station and on-farm data on disease resistance, beta-carotene content, dry matter content, taste test and root weght from plots used to compute root yield, and biomass yield was the basis for official cultivar release in Uganda.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Alternaria blight resistance; Breeding; Dry matter content; Orange-fleshed; Sweetpotato; Sweetpotato virus disease resistance; Varieties; Vitamin A+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ‘NASPOT 12 O’ and ‘NASPOT 13 O’ Sweetpotato' Description:'The data set has on-station advanced yied trials for 2011 to 2012 for Kachwekano, Ngetta, Serere, and Namulonge, and 2012 on-farm trials for Isingiro, Buyende, Rakai, Oyam, and Kabale districts in in Uganda. The data is in CloneSelector format or Excel and format for Sweetpotato Breeding Protocol (manual) (http://www.sweetpotatoknowledge.org/). The on-station and on-farm data on disease resistance, beta-carotene content, dry matter content, taste test and root weght from plots used to compute root yield, and biomass yield was the basis for official cultivar release in Uganda.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data set has on-station advanced yied trials for 2011 to 2012 for Kachwekano, Ngetta, Serere, and Namulonge, and 2012 on-farm trials for Isingiro, Buyende, Rakai, Oyam, and Kabale districts in in Uganda. The data is in CloneSelector format or Excel and format for Sweetpotato Breeding Protocol (manual) (http://www.sweetpotatoknowledge.org/). The on-station and on-farm data on disease resistance, beta-carotene content, dry matter content, taste test and root weght from plots used to compute root yield, and biomass yield was the basis for official cultivar release in Uganda.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Alternaria blight resistance; Breeding; Dry matter content; Orange-fleshed; Sweetpotato; Sweetpotato virus disease resistance; Varieties; Vitamin A"},{"pid":"doi:10.21223/P3/CZV6P9","Title":"Replication data for: A sweetpotato gene index established by de novo assembly of pyrosequencing and Sanger sequences and mining for gene-based microsatellite markers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: A sweetpotato gene index established by de novo assembly of pyrosequencing and Sanger sequences and mining for gene-based microsatellite markers' Description:'Here we present the de novo assembly of 454 sequencing reads from two normalized sweetpotato libraries, together with publically available (expressed sequence tag) ESTs, which resulted in a gene index for hexaploid sweetpotato. This gene index facilitates the access to sweetpotato gene sequences and has allowed for the design of gene-based microsatellite markers.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Gene index; Pyrosequencing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: A sweetpotato gene index established by de novo assembly of pyrosequencing and Sanger sequences and mining for gene-based microsatellite markers' Description:'Here we present the de novo assembly of 454 sequencing reads from two normalized sweetpotato libraries, together with publically available (expressed sequence tag) ESTs, which resulted in a gene index for hexaploid sweetpotato. This gene index facilitates the access to sweetpotato gene sequences and has allowed for the design of gene-based microsatellite markers.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Here we present the de novo assembly of 454 sequencing reads from two normalized sweetpotato libraries, together with publically available (expressed sequence tag) ESTs, which resulted in a gene index for hexaploid sweetpotato. This gene index facilitates the access to sweetpotato gene sequences and has allowed for the design of gene-based microsatellite markers.","Subject":"Agricultural Sciences","Keywords":"Gene index; Pyrosequencing"},{"pid":"doi:10.18710/L7GO8T","Title":"Replication data for: Primitive duplicate Hox clusters in the European eel's genome","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Primitive duplicate Hox clusters in the European eel's genome' Description:'This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {European eel; genome; genome assembly+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Primitive duplicate Hox clusters in the European eel's genome' Description:'This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.","Subject":"Agricultural Sciences","Keywords":"European eel; genome; genome assembly"},{"pid":"doi:10.18738/T8/SHYF4J","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Adami Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Adami Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Adami Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18710/ND4CLL","Title":"Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars' Description:'This dataset includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare. ' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accelerometry; animal behavior; behavioral classification; free-ranging cattle; virtual fence collars+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars' Description:'This dataset includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare. ' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare. ","Subject":"Agricultural Sciences","Keywords":"Accelerometry; animal behavior; behavioral classification; free-ranging cattle; virtual fence collars"},{"pid":"doi:10.18710/NMTGUN","Title":"Replication data for: Rapid de novo assembly of the European eel genome from nanopore sequencing reads","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Rapid de novo assembly of the European eel genome from nanopore sequencing reads' Description:'This is the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {European eel; genome; genome assembly; nanopore sequencing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Rapid de novo assembly of the European eel genome from nanopore sequencing reads' Description:'This is the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.","Subject":"Agricultural Sciences","Keywords":"European eel; genome; genome assembly; nanopore sequencing"},{"pid":"doi:10.18710/T9SXVF","Title":"Metadata and Rcode for: Objective carcass grading for bovine animals based on carcass length","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Metadata and Rcode for: Objective carcass grading for bovine animals based on carcass length' Description:'R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS (animalia@animalia.no).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {beef; bovine animals; carcass grading; conformation; EUROP; fat; prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Metadata and Rcode for: Objective carcass grading for bovine animals based on carcass length' Description:'R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS (animalia@animalia.no).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS (animalia@animalia.no).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers.","Subject":"Agricultural Sciences","Keywords":"beef; bovine animals; carcass grading; conformation; EUROP; fat; prediction"},{"pid":"doi:10.18710/TMSSJP","Title":"Metadata and Rcode for: Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase traits","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Metadata and Rcode for: Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase traits' Description:'R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase trait'. The aim of study is to evaluate and describe how changes in conformation, fat cover, weight and category contribute to change in multivariate yield. In addition, the effect of breed was studied, in order to estimate the degree to which breed accounts for variance in the multivariate yield as aconfounding factor. The files availably here is the metadata as a description of the rawdata, together with the R-code used for analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {beef; breed; classification; EUROP; multi response; yield+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Metadata and Rcode for: Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase traits' Description:'R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase trait'. The aim of study is to evaluate and describe how changes in conformation, fat cover, weight and category contribute to change in multivariate yield. In addition, the effect of breed was studied, in order to estimate the degree to which breed accounts for variance in the multivariate yield as aconfounding factor. The files availably here is the metadata as a description of the rawdata, together with the R-code used for analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase trait'. The aim of study is to evaluate and describe how changes in conformation, fat cover, weight and category contribute to change in multivariate yield. In addition, the effect of breed was studied, in order to estimate the degree to which breed accounts for variance in the multivariate yield as aconfounding factor. The files availably here is the metadata as a description of the rawdata, together with the R-code used for analysis.","Subject":"Agricultural Sciences","Keywords":"beef; breed; classification; EUROP; multi response; yield"},{"pid":"doi:10.18738/T8/SU8RF3","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18710/WF1AGU","Title":"Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin' Description:'Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {freezing tolerance; GWAS; linkage disequilibrium; red clover; Trifolium pratense+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin' Description:'Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.' Subject:'Agricultural Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.","Subject":"Agricultural Sciences","Keywords":"freezing tolerance; GWAS; linkage disequilibrium; red clover; Trifolium pratense"},{"pid":"doi:10.21421/D2/DSYLHB","Title":"DArTSeq data on within accessions diversity of sorghum germplasm","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'DArTSeq data on within accessions diversity of sorghum germplasm' Description:'This data set contains DArTSeq data of sorghum landraces (31) and wild (5) accessions, and 15 individuals within each accession were genotyped. The main objectives of this experiment were (i) to investigate the extent of diversity within and among accessions using DArTSeq derived SNPs, and (ii) to assess the minimum sample (population) size required to capture 95% of the alleles with an expected probability of 95%, from the least frequent allele or the frequency of the rarest allele for each accession. Data is in the DArT format as provided by Diversity Arrays Technology (DArT), Australia. The scope of this study aims to benefit genebank curators in understanding the dynamics of the population within and among accessions and devising proper sampling strategies (sample size) while regeneration, for effective genebank management and their utilization in crop improvement.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Genetic markers; SNP; Sorghum+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'DArTSeq data on within accessions diversity of sorghum germplasm' Description:'This data set contains DArTSeq data of sorghum landraces (31) and wild (5) accessions, and 15 individuals within each accession were genotyped. The main objectives of this experiment were (i) to investigate the extent of diversity within and among accessions using DArTSeq derived SNPs, and (ii) to assess the minimum sample (population) size required to capture 95% of the alleles with an expected probability of 95%, from the least frequent allele or the frequency of the rarest allele for each accession. Data is in the DArT format as provided by Diversity Arrays Technology (DArT), Australia. The scope of this study aims to benefit genebank curators in understanding the dynamics of the population within and among accessions and devising proper sampling strategies (sample size) while regeneration, for effective genebank management and their utilization in crop improvement.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains DArTSeq data of sorghum landraces (31) and wild (5) accessions, and 15 individuals within each accession were genotyped. The main objectives of this experiment were (i) to investigate the extent of diversity within and among accessions using DArTSeq derived SNPs, and (ii) to assess the minimum sample (population) size required to capture 95% of the alleles with an expected probability of 95%, from the least frequent allele or the frequency of the rarest allele for each accession. Data is in the DArT format as provided by Diversity Arrays Technology (DArT), Australia. The scope of this study aims to benefit genebank curators in understanding the dynamics of the population within and among accessions and devising proper sampling strategies (sample size) while regeneration, for effective genebank management and their utilization in crop improvement.","Subject":"Agricultural Sciences","Keywords":"Genetic markers; SNP; Sorghum"},{"pid":"doi:10.21421/D2/DVPP9L","Title":"Phenotypic and micronutrients data of Sorghum RIL populations trial during 2013-14 postrainy season at ICRISAT, Patancheru","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Phenotypic and micronutrients data of Sorghum RIL populations trial during 2013-14 postrainy season at ICRISAT, Patancheru' Description:'The low grain iron and zinc densities are well documented problems in food crops, affecting crop nutritional quality especially in cereals. Sorghum is a major source of energy and micronutrients for majority of population in Africa and central India. The database includes the investigation was carried out principally to study the variation for grain iron (Fe) and zinc (Zn) concentration, G × E interaction and association between these two traits and agronomic traits in RIL (Recombinant Inbred Line) population consisting of 334 individuals of generation developed using two contrasting parents 296 B and PVK 801 along with parents (296 B and PVK 801). The experiment was conducted during postrainy 2012-2013 season in International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) located at an altitude of 545 m above mean sea level with latitude of 17.53◦N and longitude of 78.27◦E to obtain best quality grain for assessing grain Fe and Zn concentration. The trial was conducted using Alpha Lattice design with three replications. Seeds of each entry were distributed equally to seed packets, representing number of rows of each plot size; and then randomized plot numbers were assigned to each plot seed packets and arranged according to planned field layout. Each entry was planted in two rows of 2 m length with a spacing of 75 cm between rows and 15 cm between plants in a row. The data on parameters like days to 50% flowering, plant height (cm), 100 seed weight (g), Fe (mg kg-1), Zn (mg kg-1), grain weight per meter square were recorded. The RIL population study showed good variability and high heritabilities for Fe and Zn and other traits studied indicating its suitability to map QTL for iron and zinc.Experiment location on Google Map ' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Grain yield; Hundred grain weight; Iron; Plant height; Replication number; Sorghum; Zinc+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Phenotypic and micronutrients data of Sorghum RIL populations trial during 2013-14 postrainy season at ICRISAT, Patancheru' Description:'The low grain iron and zinc densities are well documented problems in food crops, affecting crop nutritional quality especially in cereals. Sorghum is a major source of energy and micronutrients for majority of population in Africa and central India. The database includes the investigation was carried out principally to study the variation for grain iron (Fe) and zinc (Zn) concentration, G × E interaction and association between these two traits and agronomic traits in RIL (Recombinant Inbred Line) population consisting of 334 individuals of generation developed using two contrasting parents 296 B and PVK 801 along with parents (296 B and PVK 801). The experiment was conducted during postrainy 2012-2013 season in International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) located at an altitude of 545 m above mean sea level with latitude of 17.53◦N and longitude of 78.27◦E to obtain best quality grain for assessing grain Fe and Zn concentration. The trial was conducted using Alpha Lattice design with three replications. Seeds of each entry were distributed equally to seed packets, representing number of rows of each plot size; and then randomized plot numbers were assigned to each plot seed packets and arranged according to planned field layout. Each entry was planted in two rows of 2 m length with a spacing of 75 cm between rows and 15 cm between plants in a row. The data on parameters like days to 50% flowering, plant height (cm), 100 seed weight (g), Fe (mg kg-1), Zn (mg kg-1), grain weight per meter square were recorded. The RIL population study showed good variability and high heritabilities for Fe and Zn and other traits studied indicating its suitability to map QTL for iron and zinc.Experiment location on Google Map ' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The low grain iron and zinc densities are well documented problems in food crops, affecting crop nutritional quality especially in cereals. Sorghum is a major source of energy and micronutrients for majority of population in Africa and central India. The database includes the investigation was carried out principally to study the variation for grain iron (Fe) and zinc (Zn) concentration, G × E interaction and association between these two traits and agronomic traits in RIL (Recombinant Inbred Line) population consisting of 334 individuals of generation developed using two contrasting parents 296 B and PVK 801 along with parents (296 B and PVK 801). The experiment was conducted during postrainy 2012-2013 season in International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) located at an altitude of 545 m above mean sea level with latitude of 17.53◦N and longitude of 78.27◦E to obtain best quality grain for assessing grain Fe and Zn concentration. The trial was conducted using Alpha Lattice design with three replications. Seeds of each entry were distributed equally to seed packets, representing number of rows of each plot size; and then randomized plot numbers were assigned to each plot seed packets and arranged according to planned field layout. Each entry was planted in two rows of 2 m length with a spacing of 75 cm between rows and 15 cm between plants in a row. The data on parameters like days to 50% flowering, plant height (cm), 100 seed weight (g), Fe (mg kg-1), Zn (mg kg-1), grain weight per meter square were recorded. The RIL population study showed good variability and high heritabilities for Fe and Zn and other traits studied indicating its suitability to map QTL for iron and zinc.Experiment location on Google Map ","Subject":"Agricultural Sciences","Keywords":"Grain yield; Hundred grain weight; Iron; Plant height; Replication number; Sorghum; Zinc"},{"pid":"doi:10.18738/T8/0H1MWK","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Bihinaayili Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Bihinaayili Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Bihinaayili Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/0IVKGG","Title":"Survey of Stakeholder Organizations regarding potential use of gene drive for managing agricultural pests in Texas","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Survey of Stakeholder Organizations regarding potential use of gene drive for managing agricultural pests in Texas' Description:'The team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {agricultural pests; gene drive; pest management; stakeholder survey+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Survey of Stakeholder Organizations regarding potential use of gene drive for managing agricultural pests in Texas' Description:'The team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.' Subject:'Agricultural Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.","Subject":"Agricultural Sciences","Keywords":"agricultural pests; gene drive; pest management; stakeholder survey"},{"pid":"doi:10.18738/T8/0O7EQJ","Title":"Ex-ante Farm Simulation Model Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economic; FARMSIM; IDSS; Nutrition; Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Economic; FARMSIM; IDSS; Nutrition; Risk"},{"pid":"doi:10.18738/T8/0WCHIX","Title":"Ex-ante Farm Simulation Model Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economic; FARMSIM; IDSS; Nutrition; Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Economic; FARMSIM; IDSS; Nutrition; Risk"},{"pid":"doi:10.18738/T8/1HXBCV","Title":"Ex-ante Farm Simulation Model Data for Dangesheta Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data for Dangesheta Watershed' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economic; FARMSIM; IDSS; Nutrition; Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data for Dangesheta Watershed' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Economic; FARMSIM; IDSS; Nutrition; Risk"},{"pid":"doi:10.18738/T8/33NF9Y","Title":"Ex-ante Soil and Water Assessment Tool Data for the Zanlerigu Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Zanlerigu Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Zanlerigu Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/3GPWGF","Title":"Chemical And Sensory Data For GOX White Wine project","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Chemical And Sensory Data For GOX White Wine project' Description:'Chemical, sensory and statistical analyses of data for GOX white wine trial' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {wine, enzyme, ph+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Chemical And Sensory Data For GOX White Wine project' Description:'Chemical, sensory and statistical analyses of data for GOX white wine trial' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Chemical, sensory and statistical analyses of data for GOX white wine trial","Subject":"Agricultural Sciences","Keywords":"wine, enzyme, ph"},{"pid":"doi:10.18738/T8/4OJIGI","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/5ADNAM","Title":"Upscaling Soil and Water Assessment Tool Data for Ethiopia","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Upscaling Soil and Water Assessment Tool Data for Ethiopia' Description:'Soil and Water Assessment Tool (SWAT) data for Upscaling analysis for Ethiopia.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Upscaling Soil and Water Assessment Tool Data for Ethiopia' Description:'Soil and Water Assessment Tool (SWAT) data for Upscaling analysis for Ethiopia.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Upscaling analysis for Ethiopia.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/5NBGEW","Title":"Upscaling Soil and Water Assessment Tool Data for fodder simulation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Upscaling Soil and Water Assessment Tool Data for fodder simulation' Description:'Soil and Water Assessment Tool (SWAT) data for Upscaling analysis to fodder simulation.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Upscaling Soil and Water Assessment Tool Data for fodder simulation' Description:'Soil and Water Assessment Tool (SWAT) data for Upscaling analysis to fodder simulation.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Upscaling analysis to fodder simulation.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/5O59LD","Title":"Ex-ante Soil and Water Assessment Tool Data for the Dangesheta Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Dangesheta Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Dangesheta Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/6U348P","Title":"Ex-ante Farm Simulation Model Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economic; FARMSIM; IDSS; Nutrition; Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Economic; FARMSIM; IDSS; Nutrition; Risk"},{"pid":"doi:10.18738/T8/6XBRCK","Title":"Steroids Regulate SLC2A1 and SLC2A3 to Deliver Glucose into Trophectoderm for Metabolism via Glycolysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Steroids Regulate SLC2A1 and SLC2A3 to Deliver Glucose into Trophectoderm for Metabolism via Glycolysis' Description:'The conceptuses (embryo/fetus and placental membranes) of pigs require energy to support elongation and implantation, and amounts of glucose and fructose increase in the uterine lumen during the peri-implantation period. Conceptuses from Day 16 of pregnancy were incubated with either 14C-glucose or 14C-fructose and amounts of radiolabeled CO2 released from the conceptuses measured to determine rates of oxidation of glucose and fructose. Both glucose and fructose transport into conceptuses, and glucose is preferentially metabolized in the presence of fructose, while fructose is actively metabolized in the absence of glucose and to a lesser extent in the presence of glucose. Endometrial and placental expression of glucose transporters SLC2A1, SLC2A2, SCL2A3 and SLC2A4 were determined. SLC2A1 mRNA and protein, and SLC2A4 mRNA were abundant in the uterine luminal epithelium of pregnant compared to cycling gilts, and increased in response to progesterone and conceptus-secreted estrogen. SLC2A2 mRNA was expressed weakly by conceptus trophectoderm on Day 15 of pregnancy, while SLC2A3 mRNA was abundant in trophectoderm/chorion throughout pregnancy. Therefore, glucose can be transported into the uterine lumen by SLC2A1, and then into conceptuses by SLC2A3. On Day 60 of gestation, the cell-specific expression of these transporters was more complex, suggesting that glucose and fructose transporters are precisely regulated in a spatial-temporal pattern along the uterine-placental interface of pigs to maximize hexose sugar transport to the pig conceptus/placenta.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {fructose; glucose; pig; SLC2A; uterus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Steroids Regulate SLC2A1 and SLC2A3 to Deliver Glucose into Trophectoderm for Metabolism via Glycolysis' Description:'The conceptuses (embryo/fetus and placental membranes) of pigs require energy to support elongation and implantation, and amounts of glucose and fructose increase in the uterine lumen during the peri-implantation period. Conceptuses from Day 16 of pregnancy were incubated with either 14C-glucose or 14C-fructose and amounts of radiolabeled CO2 released from the conceptuses measured to determine rates of oxidation of glucose and fructose. Both glucose and fructose transport into conceptuses, and glucose is preferentially metabolized in the presence of fructose, while fructose is actively metabolized in the absence of glucose and to a lesser extent in the presence of glucose. Endometrial and placental expression of glucose transporters SLC2A1, SLC2A2, SCL2A3 and SLC2A4 were determined. SLC2A1 mRNA and protein, and SLC2A4 mRNA were abundant in the uterine luminal epithelium of pregnant compared to cycling gilts, and increased in response to progesterone and conceptus-secreted estrogen. SLC2A2 mRNA was expressed weakly by conceptus trophectoderm on Day 15 of pregnancy, while SLC2A3 mRNA was abundant in trophectoderm/chorion throughout pregnancy. Therefore, glucose can be transported into the uterine lumen by SLC2A1, and then into conceptuses by SLC2A3. On Day 60 of gestation, the cell-specific expression of these transporters was more complex, suggesting that glucose and fructose transporters are precisely regulated in a spatial-temporal pattern along the uterine-placental interface of pigs to maximize hexose sugar transport to the pig conceptus/placenta.' Subject:'Agricultural Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The conceptuses (embryo/fetus and placental membranes) of pigs require energy to support elongation and implantation, and amounts of glucose and fructose increase in the uterine lumen during the peri-implantation period. Conceptuses from Day 16 of pregnancy were incubated with either 14C-glucose or 14C-fructose and amounts of radiolabeled CO2 released from the conceptuses measured to determine rates of oxidation of glucose and fructose. Both glucose and fructose transport into conceptuses, and glucose is preferentially metabolized in the presence of fructose, while fructose is actively metabolized in the absence of glucose and to a lesser extent in the presence of glucose. Endometrial and placental expression of glucose transporters SLC2A1, SLC2A2, SCL2A3 and SLC2A4 were determined. SLC2A1 mRNA and protein, and SLC2A4 mRNA were abundant in the uterine luminal epithelium of pregnant compared to cycling gilts, and increased in response to progesterone and conceptus-secreted estrogen. SLC2A2 mRNA was expressed weakly by conceptus trophectoderm on Day 15 of pregnancy, while SLC2A3 mRNA was abundant in trophectoderm/chorion throughout pregnancy. Therefore, glucose can be transported into the uterine lumen by SLC2A1, and then into conceptuses by SLC2A3. On Day 60 of gestation, the cell-specific expression of these transporters was more complex, suggesting that glucose and fructose transporters are precisely regulated in a spatial-temporal pattern along the uterine-placental interface of pigs to maximize hexose sugar transport to the pig conceptus/placenta.","Subject":"Agricultural Sciences","Keywords":"fructose; glucose; pig; SLC2A; uterus"},{"pid":"doi:10.18738/T8/74EAGP","Title":"Complete results for Agricultural automation study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Complete results for Agricultural automation study' Description:'The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural Automation, Robotic Machine Scheduling, Mixed Integer Programming, Multitasking, Multiskilling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Complete results for Agricultural automation study' Description:'The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'' Subject:'Agricultural Sciences; Business and Management; Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'","Subject":"Agricultural Sciences","Keywords":"Agricultural Automation, Robotic Machine Scheduling, Mixed Integer Programming, Multitasking, Multiskilling"},{"pid":"doi:10.18738/T8/8RUKOV","Title":"Ex-ante Soil and Water Assessment Tool Data for the Kilosa Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Kilosa Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Kilosa Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/8VSKDX","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/9VYDE0","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Dimbasinia Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Dimbasinia Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Dimbasinia Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/A604BU","Title":"Replication Data for: Switchgrass Phenology Paper","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Switchgrass Phenology Paper' Description:'SNP data used for genome-wide association in the switchgrass phenology paper. SNP data includes three sets of three SNP files (with the same filename, and .bed, .bim, and .fam file extensions): genetic data for the Midwest genetic subpopulation, the Gulf genetic subpopulation, and Both genetic subpopulations.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {genomics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Switchgrass Phenology Paper' Description:'SNP data used for genome-wide association in the switchgrass phenology paper. SNP data includes three sets of three SNP files (with the same filename, and .bed, .bim, and .fam file extensions): genetic data for the Midwest genetic subpopulation, the Gulf genetic subpopulation, and Both genetic subpopulations.' Subject:'Agricultural Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"SNP data used for genome-wide association in the switchgrass phenology paper. SNP data includes three sets of three SNP files (with the same filename, and .bed, .bim, and .fam file extensions): genetic data for the Midwest genetic subpopulation, the Gulf genetic subpopulation, and Both genetic subpopulations.","Subject":"Agricultural Sciences","Keywords":"genomics"},{"pid":"doi:10.18738/T8/ACWIR0","Title":"Ex-ante Soil and Water Assessment Tool Data for the Adami Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Adami Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Adami Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/AF3COF","Title":"Ex-ante Farm Simulation Model Data for the Lemo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data for the Lemo Watershed' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economic; FARMSIM; IDSS; Nutrition; Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data for the Lemo Watershed' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Economic; FARMSIM; IDSS; Nutrition; Risk"},{"pid":"doi:10.18738/T8/AQ00EI","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/BXLC1P","Title":"NM_QUAY_1936","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'NM_QUAY_1936' Description:'Digitized index sheets and 101 photogrammetric scans of original aerial reel film from an aerial survey of Quay County, New Mexico taken November 17 & 20, 1936, and January 26, 1937. Scale is 1:20,000.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {historical aerial photographs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'NM_QUAY_1936' Description:'Digitized index sheets and 101 photogrammetric scans of original aerial reel film from an aerial survey of Quay County, New Mexico taken November 17 & 20, 1936, and January 26, 1937. Scale is 1:20,000.' Subject:'Agricultural Sciences; Earth and Environmental Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Digitized index sheets and 101 photogrammetric scans of original aerial reel film from an aerial survey of Quay County, New Mexico taken November 17 & 20, 1936, and January 26, 1937. Scale is 1:20,000.","Subject":"Agricultural Sciences","Keywords":"historical aerial photographs"},{"pid":"doi:10.34725/DVN/KPSWEV","Title":"Analyse de la chaine de valeur des produits agroforestiers: cas du miel dans la region du bas Congo et de Kinshasa en RDC","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Analyse de la chaine de valeur des produits agroforestiers: cas du miel dans la region du bas Congo et de Kinshasa en RDC' Description:'Cette étude de la chaîne de valeur du Miel a été menée pour corriger les écarts existants entre les acteurs de la filière miel dans la province du Bas-Congo et de Kinshasa. Nous avons recueillis les données primaires en 2010 à l’aide des questionnaires adressés à 102 producteurs, 79 commerçants et 51 consommateurs, et les données secondaires ont été obtenus à partir des observations personnelles dans la zone d’étude. Au niveau des producteurs, les marges bénéficiaires nettes sont respectivement de 1301,9 FC soit 1,45$ US et 349,9 FC soit 0,39$ US en période de rareté et d’abondance si la vente est individuelle ; par contre s’ils procèdent à la vente groupées leurs marges grimpent à 1471,8 FC soit 1,64$ US et 471,8 FC soit 0,52$ US. Pour les commerçants, les marges bénéficiaires nettes sont estimés à 1088,5 FC soit 1,2$ US et 85,7 FC soit 0,10$ US si les produit est vendu dans la zone d’étude.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Produits agroforestiers, Chaîne de valeurs, Miel, Rentabilité, Bas-Congo et Kinshasa.+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Analyse de la chaine de valeur des produits agroforestiers: cas du miel dans la region du bas Congo et de Kinshasa en RDC' Description:'Cette étude de la chaîne de valeur du Miel a été menée pour corriger les écarts existants entre les acteurs de la filière miel dans la province du Bas-Congo et de Kinshasa. Nous avons recueillis les données primaires en 2010 à l’aide des questionnaires adressés à 102 producteurs, 79 commerçants et 51 consommateurs, et les données secondaires ont été obtenus à partir des observations personnelles dans la zone d’étude. Au niveau des producteurs, les marges bénéficiaires nettes sont respectivement de 1301,9 FC soit 1,45$ US et 349,9 FC soit 0,39$ US en période de rareté et d’abondance si la vente est individuelle ; par contre s’ils procèdent à la vente groupées leurs marges grimpent à 1471,8 FC soit 1,64$ US et 471,8 FC soit 0,52$ US. Pour les commerçants, les marges bénéficiaires nettes sont estimés à 1088,5 FC soit 1,2$ US et 85,7 FC soit 0,10$ US si les produit est vendu dans la zone d’étude.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Cette étude de la chaîne de valeur du Miel a été menée pour corriger les écarts existants entre les acteurs de la filière miel dans la province du Bas-Congo et de Kinshasa. Nous avons recueillis les données primaires en 2010 à l’aide des questionnaires adressés à 102 producteurs, 79 commerçants et 51 consommateurs, et les données secondaires ont été obtenus à partir des observations personnelles dans la zone d’étude. Au niveau des producteurs, les marges bénéficiaires nettes sont respectivement de 1301,9 FC soit 1,45$ US et 349,9 FC soit 0,39$ US en période de rareté et d’abondance si la vente est individuelle ; par contre s’ils procèdent à la vente groupées leurs marges grimpent à 1471,8 FC soit 1,64$ US et 471,8 FC soit 0,52$ US. Pour les commerçants, les marges bénéficiaires nettes sont estimés à 1088,5 FC soit 1,2$ US et 85,7 FC soit 0,10$ US si les produit est vendu dans la zone d’étude.","Subject":"Agricultural Sciences","Keywords":"Produits agroforestiers, Chaîne de valeurs, Miel, Rentabilité, Bas-Congo et Kinshasa."},{"pid":"doi:10.18738/T8/CXFO4Y","Title":"Ex-ante Soil and Water Assessment Tool Data for the Lemo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Lemo Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Lemo Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.34725/DVN/KQ1IK4","Title":"Somaliland Food Trees Project Farm Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Somaliland Food Trees Project Farm Data' Description:'Farm Data' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {food trees; somaliland; tree portfolios+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Somaliland Food Trees Project Farm Data' Description:'Farm Data' Subject:'Agricultural Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Data","Subject":"Agricultural Sciences","Keywords":"food trees; somaliland; tree portfolios"},{"pid":"doi:10.18738/T8/DVICYP","Title":"Potential Land Suitability for Agriculture","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Potential Land Suitability for Agriculture' Description:'Irrigation land area suitability data for Upscaling analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Analytical Hierarchy; Multi-criteria Evaluation; Suitability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Potential Land Suitability for Agriculture' Description:'Irrigation land area suitability data for Upscaling analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Irrigation land area suitability data for Upscaling analysis.","Subject":"Agricultural Sciences","Keywords":"Analytical Hierarchy; Multi-criteria Evaluation; Suitability"},{"pid":"doi:10.18738/T8/FKQVUG","Title":"Airborne environmental DNA metabarcoding detects more diversity, with less sampling effort, than a traditional plant community survey","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Airborne environmental DNA metabarcoding detects more diversity, with less sampling effort, than a traditional plant community survey' Description:'Raw sequencing data used for the manuscript titled 'Airborne environmental DNA metabarcoding detects more diversity, with less sampling effort, than a traditional plant community survey'. This data focused on the ITS2 region of the nucleus. The data was run on an Illumina MiSeq' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ITS2 Illumina MiSeq+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Airborne environmental DNA metabarcoding detects more diversity, with less sampling effort, than a traditional plant community survey' Description:'Raw sequencing data used for the manuscript titled 'Airborne environmental DNA metabarcoding detects more diversity, with less sampling effort, than a traditional plant community survey'. This data focused on the ITS2 region of the nucleus. The data was run on an Illumina MiSeq' Subject:'Agricultural Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Raw sequencing data used for the manuscript titled 'Airborne environmental DNA metabarcoding detects more diversity, with less sampling effort, than a traditional plant community survey'. This data focused on the ITS2 region of the nucleus. The data was run on an Illumina MiSeq","Subject":"Agricultural Sciences","Keywords":"ITS2 Illumina MiSeq"},{"pid":"doi:10.18738/T8/GLALNE","Title":"Fidel Castro Industrial Building Inauguration Speeches, 1968-1994, from the Fidel Castro Speech Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Industrial Building Inauguration Speeches, 1968-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 28 buildings related to the speeches given by Fidel Castro that range from July 1968 to December 1994. These buildings include farms, printing plants, sugar mills, and oil refineries, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only nine weren’t able to be located and thus, eight of them were given a general location of a city or province, and one of them was provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {1968-1994; 20th century; Cuban Revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Industrial Building Inauguration Speeches, 1968-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 28 buildings related to the speeches given by Fidel Castro that range from July 1968 to December 1994. These buildings include farms, printing plants, sugar mills, and oil refineries, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only nine weren’t able to be located and thus, eight of them were given a general location of a city or province, and one of them was provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 28 buildings related to the speeches given by Fidel Castro that range from July 1968 to December 1994. These buildings include farms, printing plants, sugar mills, and oil refineries, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only nine weren’t able to be located and thus, eight of them were given a general location of a city or province, and one of them was provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.","Subject":"Agricultural Sciences","Keywords":"1968-1994; 20th century; Cuban Revolution"},{"pid":"doi:10.18738/T8/GNNZMS","Title":"NE_McPHERSON_1939","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'NE_McPHERSON_1939' Description:'Digitized index sheets and 100 photogrammetric scans of original aerial reel film from an aerial survey of McPherson County, Nebraska taken June 22, 1939, July 9 & 16, 1939, August 12, 17 & 21, 1939, and October 31, 1939. Scale is 1:20,000.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {historical aerial photographs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'NE_McPHERSON_1939' Description:'Digitized index sheets and 100 photogrammetric scans of original aerial reel film from an aerial survey of McPherson County, Nebraska taken June 22, 1939, July 9 & 16, 1939, August 12, 17 & 21, 1939, and October 31, 1939. Scale is 1:20,000.' Subject:'Agricultural Sciences; Earth and Environmental Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Digitized index sheets and 100 photogrammetric scans of original aerial reel film from an aerial survey of McPherson County, Nebraska taken June 22, 1939, July 9 & 16, 1939, August 12, 17 & 21, 1939, and October 31, 1939. Scale is 1:20,000.","Subject":"Agricultural Sciences","Keywords":"historical aerial photographs"},{"pid":"doi:10.18738/T8/GVMYYG","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Ghana Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Ghana Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Ghana Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/H2RTCA","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Dangesheta Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Dangesheta Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Dangesheta Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/IKPIFV","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Mkindo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/IOT40K","Title":"Community Engagement Survey Questionnaire","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Community Engagement Survey Questionnaire' Description:'Given the particular importance of agriculture in Texas, the project team held community engagement sessions throughout the state. They presented information on what gene drive is and how it works, how and why it might be used to manage agricultural pests, and the potential downsides of using it. The presentations included hypothetical case studies on potential gene drive applications based on one to two of four pest species of particular importance in Texas. After the presentations, participants completed short evaluation surveys that collected participants’ thoughts about the potential use of gene drive technology.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {community engagement; gene drive; pest management; Texas A&M University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Community Engagement Survey Questionnaire' Description:'Given the particular importance of agriculture in Texas, the project team held community engagement sessions throughout the state. They presented information on what gene drive is and how it works, how and why it might be used to manage agricultural pests, and the potential downsides of using it. The presentations included hypothetical case studies on potential gene drive applications based on one to two of four pest species of particular importance in Texas. After the presentations, participants completed short evaluation surveys that collected participants’ thoughts about the potential use of gene drive technology.' Subject:'Agricultural Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Given the particular importance of agriculture in Texas, the project team held community engagement sessions throughout the state. They presented information on what gene drive is and how it works, how and why it might be used to manage agricultural pests, and the potential downsides of using it. The presentations included hypothetical case studies on potential gene drive applications based on one to two of four pest species of particular importance in Texas. After the presentations, participants completed short evaluation surveys that collected participants’ thoughts about the potential use of gene drive technology.","Subject":"Agricultural Sciences","Keywords":"community engagement; gene drive; pest management; Texas A&M University"},{"pid":"doi:10.18738/T8/JESJRV","Title":"Fidel Castro Educational Building Inauguration Speeches, 1960-1993, from the Fidel Castro Speech Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Educational Building Inauguration Speeches, 1960-1993, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 33 buildings that were inaugurated by Castro from February 1960 to July 1993. These buildings include schools, universities, and medical centers that focus on training or pedagogy, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only thirteen weren’t able to be located, and thus, ten of them were given a general location of a city or province, while the other three were provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {1960-1993; 20th century; Cuban Revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Educational Building Inauguration Speeches, 1960-1993, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 33 buildings that were inaugurated by Castro from February 1960 to July 1993. These buildings include schools, universities, and medical centers that focus on training or pedagogy, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only thirteen weren’t able to be located, and thus, ten of them were given a general location of a city or province, while the other three were provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 33 buildings that were inaugurated by Castro from February 1960 to July 1993. These buildings include schools, universities, and medical centers that focus on training or pedagogy, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only thirteen weren’t able to be located, and thus, ten of them were given a general location of a city or province, while the other three were provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.","Subject":"Agricultural Sciences","Keywords":"1960-1993; 20th century; Cuban Revolution"},{"pid":"doi:10.18738/T8/JJ113R","Title":"Ex-post Agricultural Policy/Environmental eXtender Data: Conventional tillage (CT)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-post Agricultural Policy/Environmental eXtender Data: Conventional tillage (CT)' Description:'Conventional tillage (CT), no mulch application with irrigation scheduling based on crop water requirement (CWR) computed with the Penman-Monteith equation using historical climate data from Dangila weather station (CT-CWR);' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Conventional tillage; IDSS; Irrigation; Water Use Efficiency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-post Agricultural Policy/Environmental eXtender Data: Conventional tillage (CT)' Description:'Conventional tillage (CT), no mulch application with irrigation scheduling based on crop water requirement (CWR) computed with the Penman-Monteith equation using historical climate data from Dangila weather station (CT-CWR);' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Conventional tillage (CT), no mulch application with irrigation scheduling based on crop water requirement (CWR) computed with the Penman-Monteith equation using historical climate data from Dangila weather station (CT-CWR);","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Conventional tillage; IDSS; Irrigation; Water Use Efficiency"},{"pid":"doi:10.18738/T8/JJQYLX","Title":"Fidel Castro Recreational Building Inauguration Speeches, 1961-1994, from the Fidel Castro Speech Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Recreational Building Inauguration Speeches, 1961-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of five buildings that were inaugurated by Castro from July 1961 to December 1994. The recreational buildings include two hotels, two training centers and a park. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only one wasn’t able to be located and thus was provided a general location of a city or province to provide accurate representation of the entirety of the dataset.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {1961-1994; 20th century; Cuban Revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Recreational Building Inauguration Speeches, 1961-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of five buildings that were inaugurated by Castro from July 1961 to December 1994. The recreational buildings include two hotels, two training centers and a park. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only one wasn’t able to be located and thus was provided a general location of a city or province to provide accurate representation of the entirety of the dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of five buildings that were inaugurated by Castro from July 1961 to December 1994. The recreational buildings include two hotels, two training centers and a park. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only one wasn’t able to be located and thus was provided a general location of a city or province to provide accurate representation of the entirety of the dataset.","Subject":"Agricultural Sciences","Keywords":"1961-1994; 20th century; Cuban Revolution"},{"pid":"doi:10.18738/T8/JQ1PBY","Title":"ND_WARD_1938","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ND_WARD_1938' Description:'Digitized index sheets and 95 photogrammetric scans of original aerial reel film from an aerial survey of Ward County, North Dakota taken August 4, & 5, 1938, September 22, 1938, and October 19, 1938. Scale is 1:20,000.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {historical aerial photographs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ND_WARD_1938' Description:'Digitized index sheets and 95 photogrammetric scans of original aerial reel film from an aerial survey of Ward County, North Dakota taken August 4, & 5, 1938, September 22, 1938, and October 19, 1938. Scale is 1:20,000.' Subject:'Agricultural Sciences; Earth and Environmental Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Digitized index sheets and 95 photogrammetric scans of original aerial reel film from an aerial survey of Ward County, North Dakota taken August 4, & 5, 1938, September 22, 1938, and October 19, 1938. Scale is 1:20,000.","Subject":"Agricultural Sciences","Keywords":"historical aerial photographs"},{"pid":"doi:10.18738/T8/JWRFDU","Title":"Upscaling Suitability Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Upscaling Suitability Data' Description:'The land that is potentially suitable for sustainable fodder production in Ethiopia was identified using a Global Information Systems (GIS)-based Multi-Criteria Evaluation technique. The data attached shows the potential suitable area for irrigated alfalfa production in Ethiopia.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Fodder; Multi-criteria Evaluation; Suitability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Upscaling Suitability Data' Description:'The land that is potentially suitable for sustainable fodder production in Ethiopia was identified using a Global Information Systems (GIS)-based Multi-Criteria Evaluation technique. The data attached shows the potential suitable area for irrigated alfalfa production in Ethiopia.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The land that is potentially suitable for sustainable fodder production in Ethiopia was identified using a Global Information Systems (GIS)-based Multi-Criteria Evaluation technique. The data attached shows the potential suitable area for irrigated alfalfa production in Ethiopia.","Subject":"Agricultural Sciences","Keywords":"Fodder; Multi-criteria Evaluation; Suitability"},{"pid":"doi:10.18738/T8/JXAXZY","Title":"Replication Data for Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds' Description:'This file contains the data used in the paper listed above. The sample data used in the paper was collected by the Office of the Texas State Chemist in the state of Texas from various manufacturers and distributors.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Animal feed, hazard, risk assessment, copper, molybdenum, contaminants, minerals, essential minerals, feed ingredients, finished feeds+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds' Description:'This file contains the data used in the paper listed above. The sample data used in the paper was collected by the Office of the Texas State Chemist in the state of Texas from various manufacturers and distributors.' Subject:'Agricultural Sciences; Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This file contains the data used in the paper listed above. The sample data used in the paper was collected by the Office of the Texas State Chemist in the state of Texas from various manufacturers and distributors.","Subject":"Agricultural Sciences","Keywords":"Animal feed, hazard, risk assessment, copper, molybdenum, contaminants, minerals, essential minerals, feed ingredients, finished feeds"},{"pid":"doi:10.18738/T8/KHXKF8","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/KKA6E1","Title":"TX_LAMAR_1940","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TX_LAMAR_1940' Description:'Digitized index sheets and 69 photogrammetric scans of original aerial reel film from an aerial survey of Lamar County, Texas, taken November 15,1940. Scale is 1:20,000.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {historical aerial photographs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TX_LAMAR_1940' Description:'Digitized index sheets and 69 photogrammetric scans of original aerial reel film from an aerial survey of Lamar County, Texas, taken November 15,1940. Scale is 1:20,000.' Subject:'Agricultural Sciences; Earth and Environmental Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Digitized index sheets and 69 photogrammetric scans of original aerial reel film from an aerial survey of Lamar County, Texas, taken November 15,1940. Scale is 1:20,000.","Subject":"Agricultural Sciences","Keywords":"historical aerial photographs"},{"pid":"doi:10.18738/T8/SVAGLL","Title":"TX_WICHITA_1937","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TX_WICHITA_1937' Description:'Digitized index sheets and 26 photogrammetric scans of original aerial reel film from an aerial survey of Wichita County, Texas taken March 20, 1937. Scale is 1:63,360. These photographs overlap with photographs from Tillman County, Oklahoma and Wilbarger County, Texas.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {historical aerial photographs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TX_WICHITA_1937' Description:'Digitized index sheets and 26 photogrammetric scans of original aerial reel film from an aerial survey of Wichita County, Texas taken March 20, 1937. Scale is 1:63,360. These photographs overlap with photographs from Tillman County, Oklahoma and Wilbarger County, Texas.' Subject:'Agricultural Sciences; Earth and Environmental Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Digitized index sheets and 26 photogrammetric scans of original aerial reel film from an aerial survey of Wichita County, Texas taken March 20, 1937. Scale is 1:63,360. These photographs overlap with photographs from Tillman County, Oklahoma and Wilbarger County, Texas.","Subject":"Agricultural Sciences","Keywords":"historical aerial photographs"},{"pid":"doi:10.18738/T8/KMGGRR","Title":"Tropical Livestock Unit (TLU)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tropical Livestock Unit (TLU)' Description:'Livestock population data of the country was obtained from the Central Statistical Agency (CSA) of Ethiopia. The data includes a zonal level population of cattle, sheep, goats, horses, donkeys, and camels for the year 2000 - 2007. The data was aggregated to Tropical Livestock Unit (TLU) which is a standard unit of relative feed requirement.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Analytical Hierarchy; fodder suitability; Multi-criteria Evaluation; Suitability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tropical Livestock Unit (TLU)' Description:'Livestock population data of the country was obtained from the Central Statistical Agency (CSA) of Ethiopia. The data includes a zonal level population of cattle, sheep, goats, horses, donkeys, and camels for the year 2000 - 2007. The data was aggregated to Tropical Livestock Unit (TLU) which is a standard unit of relative feed requirement.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Livestock population data of the country was obtained from the Central Statistical Agency (CSA) of Ethiopia. The data includes a zonal level population of cattle, sheep, goats, horses, donkeys, and camels for the year 2000 - 2007. The data was aggregated to Tropical Livestock Unit (TLU) which is a standard unit of relative feed requirement.","Subject":"Agricultural Sciences","Keywords":"Analytical Hierarchy; fodder suitability; Multi-criteria Evaluation; Suitability"},{"pid":"doi:10.18738/T8/L1RG0K","Title":"Ex-ante Soil and Water Assessment Tool Data for the Bihinaayili Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Bihinaayili Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Bihinaayili Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/LHK7DY","Title":"Ex-ante Soil and Water Assessment Tool Data for the Robit Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Robit Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Robit Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/LQEMZF","Title":"Nutritional quality and price of irrigated fodder and other feed resources in Lemo","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Nutritional quality and price of irrigated fodder and other feed resources in Lemo' Description:'The dataset describes the nutritional quality of irrigated oat-vetch forage and Desho grass as well as average market prices of the forages. The data also contains price and quality information for other feed resources marketed in the Lemo and surrounding districts to provide information that can be used as input in cost-benefit analysis of irrigated fodder cultivation practices.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Irrigated fodder; oat-vetch, desho grass; nutritional quality; price+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Nutritional quality and price of irrigated fodder and other feed resources in Lemo' Description:'The dataset describes the nutritional quality of irrigated oat-vetch forage and Desho grass as well as average market prices of the forages. The data also contains price and quality information for other feed resources marketed in the Lemo and surrounding districts to provide information that can be used as input in cost-benefit analysis of irrigated fodder cultivation practices.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset describes the nutritional quality of irrigated oat-vetch forage and Desho grass as well as average market prices of the forages. The data also contains price and quality information for other feed resources marketed in the Lemo and surrounding districts to provide information that can be used as input in cost-benefit analysis of irrigated fodder cultivation practices.","Subject":"Agricultural Sciences","Keywords":"Irrigated fodder; oat-vetch, desho grass; nutritional quality; price"},{"pid":"doi:10.18738/T8/LXRZZ2","Title":"Ex-ante Soil and Water Assessment Tool Data for the Babati Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Babati Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Babati Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/MCNOWH","Title":"Winter is coming","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Winter is coming' Description:'Journal: Frontiers in Ecology and Evolution, section Behavioral and Evolutionary EcologyManuscript title: Winter is coming: conserving body protein in female reindeer, caribou, and muskoxen Manuscript ID: 535331Authors: Perry S Barboza, Rachel D Shively, Dave Gustine, J A Addison' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {wildlife, nutrition, arctic, ungulate, nitrogen, stable isotopes+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Winter is coming' Description:'Journal: Frontiers in Ecology and Evolution, section Behavioral and Evolutionary EcologyManuscript title: Winter is coming: conserving body protein in female reindeer, caribou, and muskoxen Manuscript ID: 535331Authors: Perry S Barboza, Rachel D Shively, Dave Gustine, J A Addison' Subject:'Agricultural Sciences; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Journal: Frontiers in Ecology and Evolution, section Behavioral and Evolutionary EcologyManuscript title: Winter is coming: conserving body protein in female reindeer, caribou, and muskoxen Manuscript ID: 535331Authors: Perry S Barboza, Rachel D Shively, Dave Gustine, J A Addison","Subject":"Agricultural Sciences","Keywords":"wildlife, nutrition, arctic, ungulate, nitrogen, stable isotopes"},{"pid":"doi:10.18738/T8/N6QYGV","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/NBFBQT","Title":"Ex-ante Soil and Water Assessment Tool Data for the Dimbasinia Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Dimbasinia Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Dimbasinia Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/NJID5V","Title":"Ex Post, Gap and Constraint Farm simulation model data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex Post, Gap and Constraint Farm simulation model data' Description:'Farm Simulation Model (FARMSIM) data for Ex-post, Gap and Constraint analysis' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Nutrition, Economic, FARMSIM, Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex Post, Gap and Constraint Farm simulation model data' Description:'Farm Simulation Model (FARMSIM) data for Ex-post, Gap and Constraint analysis' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-post, Gap and Constraint analysis","Subject":"Agricultural Sciences","Keywords":"Nutrition, Economic, FARMSIM, Risk"},{"pid":"doi:10.18738/T8/NNP9HH","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Babati Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Babati Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Babati Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/NXSFKB","Title":"Microbiological Data: Pathogen-Inoculated and Non-Inoculated Tomatoes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Microbiological Data: Pathogen-Inoculated and Non-Inoculated Tomatoes' Description:'Data file contains raw and log-transformed microbiological data for tomato skin samples prepared and inoculated with bacterial pathogens or left untreated. Data are presented in log CFU/cm^2 in a column format suitable for importing into JMP or other statistics analysis software. Data were generated by research experiments supported by USDA-NIFA.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Food Safety+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Microbiological Data: Pathogen-Inoculated and Non-Inoculated Tomatoes' Description:'Data file contains raw and log-transformed microbiological data for tomato skin samples prepared and inoculated with bacterial pathogens or left untreated. Data are presented in log CFU/cm^2 in a column format suitable for importing into JMP or other statistics analysis software. Data were generated by research experiments supported by USDA-NIFA.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data file contains raw and log-transformed microbiological data for tomato skin samples prepared and inoculated with bacterial pathogens or left untreated. Data are presented in log CFU/cm^2 in a column format suitable for importing into JMP or other statistics analysis software. Data were generated by research experiments supported by USDA-NIFA.","Subject":"Agricultural Sciences","Keywords":"Food Safety"},{"pid":"doi:10.18738/T8/OJX6UE","Title":"Ex-ante Soil and Water Assessment Tool Data for the Mkindo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Mkindo Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Mkindo Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT"},{"pid":"doi:10.18738/T8/OW0NAH","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Ethiopia Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Ethiopia Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Ethiopia Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/OYMD1W","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/P7U2O2","Title":"Video - 'Gene Drive: would it be a good or bad idea for managing agricultural pests?'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Video - 'Gene Drive: would it be a good or bad idea for managing agricultural pests?'' Description:'This video provides information about gene drive, a new genetic-based technology in the early stages of research. Among other potential applications, gene drive is being considered for managing agricultural pests. Why might gene drive be used for this? What are some of the downsides? This video was included in a survey of stakeholder organizations associated with agriculture and pest management in Texas and in a public opinion survey that was representative of both the U.S. national population and the population of Texas.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {agricultural pests; gene drive; gene editing; pest management+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Video - 'Gene Drive: would it be a good or bad idea for managing agricultural pests?'' Description:'This video provides information about gene drive, a new genetic-based technology in the early stages of research. Among other potential applications, gene drive is being considered for managing agricultural pests. Why might gene drive be used for this? What are some of the downsides? This video was included in a survey of stakeholder organizations associated with agriculture and pest management in Texas and in a public opinion survey that was representative of both the U.S. national population and the population of Texas.' Subject:'Agricultural Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This video provides information about gene drive, a new genetic-based technology in the early stages of research. Among other potential applications, gene drive is being considered for managing agricultural pests. Why might gene drive be used for this? What are some of the downsides? This video was included in a survey of stakeholder organizations associated with agriculture and pest management in Texas and in a public opinion survey that was representative of both the U.S. national population and the population of Texas.","Subject":"Agricultural Sciences","Keywords":"agricultural pests; gene drive; gene editing; pest management"},{"pid":"doi:10.18738/T8/PJYL8P","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; crop yield; Environmental; IDSS; Irrigation; water use efficiency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; crop yield; Environmental; IDSS; Irrigation; water use efficiency"},{"pid":"doi:10.18738/T8/PQ8UMS","Title":"Irrigation Area Suitability Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Irrigation Area Suitability Data' Description:'Potential land suitable for agriculture in Ethiopia and reclassified maps of factors affecting irrigation.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Analytical Hierarchy; Multi-criteria Evaluation; Suitability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Irrigation Area Suitability Data' Description:'Potential land suitable for agriculture in Ethiopia and reclassified maps of factors affecting irrigation.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Potential land suitable for agriculture in Ethiopia and reclassified maps of factors affecting irrigation.","Subject":"Agricultural Sciences","Keywords":"Analytical Hierarchy; Multi-criteria Evaluation; Suitability"},{"pid":"doi:10.18738/T8/PZQ0SM","Title":"Mutualism Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mutualism Data' Description:'Data Supporting Ant-Aphid Mutualism between Fire Ants and Sorghum Aphids' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ant; Aphid; Mutualism+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mutualism Data' Description:'Data Supporting Ant-Aphid Mutualism between Fire Ants and Sorghum Aphids' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data Supporting Ant-Aphid Mutualism between Fire Ants and Sorghum Aphids","Subject":"Agricultural Sciences","Keywords":"Ant; Aphid; Mutualism"},{"pid":"doi:10.18738/T8/QG7ZNI","Title":"Fidel Castro Building Inauguration Speeches, 1960-1994, from the Fidel Castro Speech Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Building Inauguration Speeches, 1960-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 78 buildings related to the speeches given by Fidel Castro. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the 52 that were located, only 34 of them have an exact location; the other 18 are an approximation based on additional research and given the location of a city. Out of the 26 unidentified locations, 22 of them were given the location of the city or province, and 4 of them were given a coordinate south of Cuba in the ocean to provide accurate representation of the entirety of the dataset. The speeches date February 1960-December 1994.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {1960-1994; 20th Century; Cuban Revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Building Inauguration Speeches, 1960-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 78 buildings related to the speeches given by Fidel Castro. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the 52 that were located, only 34 of them have an exact location; the other 18 are an approximation based on additional research and given the location of a city. Out of the 26 unidentified locations, 22 of them were given the location of the city or province, and 4 of them were given a coordinate south of Cuba in the ocean to provide accurate representation of the entirety of the dataset. The speeches date February 1960-December 1994.' Subject:'Agricultural Sciences; Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 78 buildings related to the speeches given by Fidel Castro. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the 52 that were located, only 34 of them have an exact location; the other 18 are an approximation based on additional research and given the location of a city. Out of the 26 unidentified locations, 22 of them were given the location of the city or province, and 4 of them were given a coordinate south of Cuba in the ocean to provide accurate representation of the entirety of the dataset. The speeches date February 1960-December 1994.","Subject":"Agricultural Sciences","Keywords":"1960-1994; 20th Century; Cuban Revolution"},{"pid":"doi:10.18738/T8/QM2TSS","Title":"Ex Post, Gap and Constraint Farm simulation model (FARMSIM) data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex Post, Gap and Constraint Farm simulation model (FARMSIM) data' Description:'Farm Simulation Model (FARMSIM) data for Ex-post, Gap and Constraint analysis' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Nutrition, IDSS, Economic, Farmsim, Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex Post, Gap and Constraint Farm simulation model (FARMSIM) data' Description:'Farm Simulation Model (FARMSIM) data for Ex-post, Gap and Constraint analysis' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-post, Gap and Constraint analysis","Subject":"Agricultural Sciences","Keywords":"Nutrition, IDSS, Economic, Farmsim, Risk"},{"pid":"doi:10.18738/T8/RQSBM0","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Ghana Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Ghana Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Ghana Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/RTBTIR","Title":"Aligned SNP Data for CDBN Genomics in Hapmap and Numeric Format","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Aligned SNP Data for CDBN Genomics in Hapmap and Numeric Format' Description:'This dataset contains SNP data for replication of the genome-wide association results in the paper “Genetic Associations in Four Decades of Multi-Environment Trials Reveal Agronomic Trait Evolution in Common Bean”. It contains SNP data for 348 genotypes of common bean (Phaseolus vulgaris), grown as part of the Cooperative Dry Bean Nursery. It contains this data in both hapmap and numeric format. To create the hapmap data, aligned SNP data was created from raw sequence data using the pipeline at https://github.com/Alice-MacQueen/SNP-calling-pipeline-GBS-ApeKI . It was then imputed using FILLIN and filtered to contain only SNPs with a minor allele frequency of 5% or higher, and with missing data of 120 individuals or fewer. The hapmap file was used to create single chromosome files in numerical format, which GAPIT accepts, using GAPIT.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {common bean; genome-wide association; multi-environment trial+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Aligned SNP Data for CDBN Genomics in Hapmap and Numeric Format' Description:'This dataset contains SNP data for replication of the genome-wide association results in the paper “Genetic Associations in Four Decades of Multi-Environment Trials Reveal Agronomic Trait Evolution in Common Bean”. It contains SNP data for 348 genotypes of common bean (Phaseolus vulgaris), grown as part of the Cooperative Dry Bean Nursery. It contains this data in both hapmap and numeric format. To create the hapmap data, aligned SNP data was created from raw sequence data using the pipeline at https://github.com/Alice-MacQueen/SNP-calling-pipeline-GBS-ApeKI . It was then imputed using FILLIN and filtered to contain only SNPs with a minor allele frequency of 5% or higher, and with missing data of 120 individuals or fewer. The hapmap file was used to create single chromosome files in numerical format, which GAPIT accepts, using GAPIT.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains SNP data for replication of the genome-wide association results in the paper “Genetic Associations in Four Decades of Multi-Environment Trials Reveal Agronomic Trait Evolution in Common Bean”. It contains SNP data for 348 genotypes of common bean (Phaseolus vulgaris), grown as part of the Cooperative Dry Bean Nursery. It contains this data in both hapmap and numeric format. To create the hapmap data, aligned SNP data was created from raw sequence data using the pipeline at https://github.com/Alice-MacQueen/SNP-calling-pipeline-GBS-ApeKI . It was then imputed using FILLIN and filtered to contain only SNPs with a minor allele frequency of 5% or higher, and with missing data of 120 individuals or fewer. The hapmap file was used to create single chromosome files in numerical format, which GAPIT accepts, using GAPIT.","Subject":"Agricultural Sciences","Keywords":"common bean; genome-wide association; multi-environment trial"},{"pid":"doi:10.18738/T8/RTGE49","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/RTPYCW","Title":"Fecundity Compensation Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fecundity Compensation Data' Description:'Raw Data with Preliminary Analyses' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Parasitoid, Fecundity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fecundity Compensation Data' Description:'Raw Data with Preliminary Analyses' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Raw Data with Preliminary Analyses","Subject":"Agricultural Sciences","Keywords":"Parasitoid, Fecundity"},{"pid":"doi:10.18738/T8/TGY7TC","Title":"Methane emissions from rice field experiments","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Methane emissions from rice field experiments' Description:'This dataset contains measurements of methane emissions from 22 field experiments from China, United States, and Denmark. It also includes general information on the conditions under which the experiments were performed.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {methane emissions; rice cultivations+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Methane emissions from rice field experiments' Description:'This dataset contains measurements of methane emissions from 22 field experiments from China, United States, and Denmark. It also includes general information on the conditions under which the experiments were performed.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains measurements of methane emissions from 22 field experiments from China, United States, and Denmark. It also includes general information on the conditions under which the experiments were performed.","Subject":"Agricultural Sciences","Keywords":"methane emissions; rice cultivations"},{"pid":"doi:10.18738/T8/TIRODJ","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Kilosa Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Kilosa Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Kilosa Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/U6S7B9","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/U9977H","Title":"Yield and fodder quality of irrigated Napier grass inter-cropped with either Sesbania, Desmodium or Pigeon pea","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Yield and fodder quality of irrigated Napier grass inter-cropped with either Sesbania, Desmodium or Pigeon pea' Description:'The data presents the effect of inter-cropping irrigated Napier grass with perennial legume forages including Sesbania, Desmodium and Pigeon pea on the overall biomass yield, nutritional quality and compatibility.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Irrigated fodder; inter-cropping; Napier; Sesbania; Desmodium; Pigeon pea; yield; fodder quality+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Yield and fodder quality of irrigated Napier grass inter-cropped with either Sesbania, Desmodium or Pigeon pea' Description:'The data presents the effect of inter-cropping irrigated Napier grass with perennial legume forages including Sesbania, Desmodium and Pigeon pea on the overall biomass yield, nutritional quality and compatibility.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data presents the effect of inter-cropping irrigated Napier grass with perennial legume forages including Sesbania, Desmodium and Pigeon pea on the overall biomass yield, nutritional quality and compatibility.","Subject":"Agricultural Sciences","Keywords":"Irrigated fodder; inter-cropping; Napier; Sesbania; Desmodium; Pigeon pea; yield; fodder quality"},{"pid":"doi:10.18738/T8/UBEOIB","Title":"Conservation agriculture (CA) practice","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Conservation agriculture (CA) practice' Description:'Agricultural Policy/Environmental eXtender (APEX) data. Conservation agriculture (CA), where the field plots were covered with a continuous organic mulch throughout the crop-growing period. Irrigation scheduling was based on crop water requirement (CWR) computed with the Penman-Monteith equation using historical climate data from Dangila weather station (CA-CWR);' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Conservation agriculture; Fertilizer Use Efficiency; IDSS; Irrigation; Water Use Efficiency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Conservation agriculture (CA) practice' Description:'Agricultural Policy/Environmental eXtender (APEX) data. Conservation agriculture (CA), where the field plots were covered with a continuous organic mulch throughout the crop-growing period. Irrigation scheduling was based on crop water requirement (CWR) computed with the Penman-Monteith equation using historical climate data from Dangila weather station (CA-CWR);' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data. Conservation agriculture (CA), where the field plots were covered with a continuous organic mulch throughout the crop-growing period. Irrigation scheduling was based on crop water requirement (CWR) computed with the Penman-Monteith equation using historical climate data from Dangila weather station (CA-CWR);","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Conservation agriculture; Fertilizer Use Efficiency; IDSS; Irrigation; Water Use Efficiency"},{"pid":"doi:10.18738/T8/UCGXTX","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for the Lemo Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Lemo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Lemo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/UIUANA","Title":"Assessment of feed utilization practices and drivers of adoption of cultivated forages in southern Ethiopia","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Assessment of feed utilization practices and drivers of adoption of cultivated forages in southern Ethiopia' Description:'Indigenous feed resource management practices and coping mechanisms during the times of scarcity have been assessed. Data were generated from smallholder farmers who are adopters and non-adopters of cultivated forages to explore key drivers of adoption.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Feed, livestock, crop+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Assessment of feed utilization practices and drivers of adoption of cultivated forages in southern Ethiopia' Description:'Indigenous feed resource management practices and coping mechanisms during the times of scarcity have been assessed. Data were generated from smallholder farmers who are adopters and non-adopters of cultivated forages to explore key drivers of adoption.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Indigenous feed resource management practices and coping mechanisms during the times of scarcity have been assessed. Data were generated from smallholder farmers who are adopters and non-adopters of cultivated forages to explore key drivers of adoption.","Subject":"Agricultural Sciences","Keywords":"Feed, livestock, crop"},{"pid":"doi:10.18738/T8/ULLYCX","Title":"Ex-ante Farm Simulation Model Data for Adami Watershed","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data for Adami Watershed' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economic; FARMSIM; IDSS; Nutrition; Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data for Adami Watershed' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Economic; FARMSIM; IDSS; Nutrition; Risk"},{"pid":"doi:10.18738/T8/V6B9VA","Title":"Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Dangishita' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation"},{"pid":"doi:10.18738/T8/VG1RIC","Title":"Ex-ante Farm Simulation Model Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economic; FARMSIM; IDSS; Nutrition; Risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Farm Simulation Model (FARMSIM) data for Ex-ante analysis.","Subject":"Agricultural Sciences","Keywords":"Economic; FARMSIM; IDSS; Nutrition; Risk"},{"pid":"doi:10.11588/data/7NFYJ0","Title":"Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]' Description:'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {biobased polymers, digital light processing, sustainable 3D printing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]' Description:'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject:'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.","Subject":" Engineering","Keywords":"biobased polymers, digital light processing, sustainable 3D printing"},{"pid":"doi:10.11588/data/HV4MJW","Title":"Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description:'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {pH-switch; protein engineering; receptor; WW domain; zinc switch+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description:'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject:'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.","Subject":" Engineering","Keywords":"pH-switch; protein engineering; receptor; WW domain; zinc switch"},{"pid":"doi:10.11588/data/LMMXAI","Title":"Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]' Description:'Research Data and Source Code associated with the related publication.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {electron beam lithography; hydrogen storage; in situ TEM; magnesium hydride; metastable phases; plasmonics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]' Description:'Research Data and Source Code associated with the related publication.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data and Source Code associated with the related publication.","Subject":" Engineering","Keywords":"electron beam lithography; hydrogen storage; in situ TEM; magnesium hydride; metastable phases; plasmonics"},{"pid":"doi:10.11588/data/ZW8JL9","Title":"Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]' Description:'Research Data associated with the related publication.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {analytical TEM; EELS; morphology characterization; non fullerene acceptors; organic photovoltaic+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]' Description:'Research Data associated with the related publication.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data associated with the related publication.","Subject":" Engineering","Keywords":"analytical TEM; EELS; morphology characterization; non fullerene acceptors; organic photovoltaic"},{"pid":"doi:10.15139/S3/31GENM","Title":"Advancing crash investigation with connected and automated vehicle data [R25]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Advancing crash investigation with connected and automated vehicle data [R25]' Description:'This study seeks to leverage newly available Connected and Automated Vehicle (CAV) data to improve crash investigation procedures and obtain input from stakeholders, specifically law enforcement. In particular, law enforcement use of existing Event Data Recorders (EDRs), which store vehicle kinematics during a crash, is explored. Crash investigations are currently aided by EDRs, but this aid could be expanded to include the information gathered by Automated Driving System (ADS) technologies such as radar, cameras, LIDAR, infrared, and ultrasonic. This detailed data could improve the fidelity of future crash investigations, with potential new information such as driver/operator state, vehicle automation capabilities, location, objects and people in the immediate area, performance and diagnostic data, and environmental factors. Through text mining analysis of CAV and sensor-related literature and interviews with law enforcement, this study contributes by gathering evidence about crash investigations to pinpoint the contributing factors of a crash. Further we explore law enforcement involvement in the design of the current EDR retrieval process and their knowledge about using ADS data. Broadly, the project applies the safe systems approach by suggesting a framework that integrates CAV data in the new crash investigation procedures.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ADAS; Advanced vehicle control systems; automated motor vehicles; autonomous vehicles; crash data; crash investigation; event data recorders+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Advancing crash investigation with connected and automated vehicle data [R25]' Description:'This study seeks to leverage newly available Connected and Automated Vehicle (CAV) data to improve crash investigation procedures and obtain input from stakeholders, specifically law enforcement. In particular, law enforcement use of existing Event Data Recorders (EDRs), which store vehicle kinematics during a crash, is explored. Crash investigations are currently aided by EDRs, but this aid could be expanded to include the information gathered by Automated Driving System (ADS) technologies such as radar, cameras, LIDAR, infrared, and ultrasonic. This detailed data could improve the fidelity of future crash investigations, with potential new information such as driver/operator state, vehicle automation capabilities, location, objects and people in the immediate area, performance and diagnostic data, and environmental factors. Through text mining analysis of CAV and sensor-related literature and interviews with law enforcement, this study contributes by gathering evidence about crash investigations to pinpoint the contributing factors of a crash. Further we explore law enforcement involvement in the design of the current EDR retrieval process and their knowledge about using ADS data. Broadly, the project applies the safe systems approach by suggesting a framework that integrates CAV data in the new crash investigation procedures.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study seeks to leverage newly available Connected and Automated Vehicle (CAV) data to improve crash investigation procedures and obtain input from stakeholders, specifically law enforcement. In particular, law enforcement use of existing Event Data Recorders (EDRs), which store vehicle kinematics during a crash, is explored. Crash investigations are currently aided by EDRs, but this aid could be expanded to include the information gathered by Automated Driving System (ADS) technologies such as radar, cameras, LIDAR, infrared, and ultrasonic. This detailed data could improve the fidelity of future crash investigations, with potential new information such as driver/operator state, vehicle automation capabilities, location, objects and people in the immediate area, performance and diagnostic data, and environmental factors. Through text mining analysis of CAV and sensor-related literature and interviews with law enforcement, this study contributes by gathering evidence about crash investigations to pinpoint the contributing factors of a crash. Further we explore law enforcement involvement in the design of the current EDR retrieval process and their knowledge about using ADS data. Broadly, the project applies the safe systems approach by suggesting a framework that integrates CAV data in the new crash investigation procedures.","Subject":"Engineering","Keywords":"ADAS; Advanced vehicle control systems; automated motor vehicles; autonomous vehicles; crash data; crash investigation; event data recorders"},{"pid":"doi:10.15139/S3/LIOP2V","Title":"Safety testing for connected and automated vehicles through physical and digital iterative deployment [R27]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Safety testing for connected and automated vehicles through physical and digital iterative deployment [R27]' Description:'Currently, many manufacturers are selling vehicles with SAE Level 2 or 3 automation and testing with more advanced vehicles on public roads (level 4). However, recent crashes have raised critical questions about their safety. Are these vehicles with lower or higher automation safe enough to drive on public roads, and more fundamentally, how do we assess their safety envelope? Currently, there is no consensus about whether testing should exist at the state or federal level, what functions should be tested, and how independent testing should occur, and what constitutes safe thresholds.In this CSCRS project, we seek to address this gap by developing a comprehensive testing protocol specifically for Level 2 and 3 connected and automated vehicles by using a novel software and physical deployment platform which allows rapid iterative development. With such a testing protocol, automated vehicles can be systematically tested and certified to be generally safe before being tested on public roads. The key objectives of this research are to:1) Conduct a thorough review of ongoing efforts by standards organizations such as SAE, ISO and others including the UL 4600 standard under development.2) Develop a testing protocol that will standardize how to systematically and safely test Level 2 and 3 automated vehicles regarding their functions and capabilities with considerations of the driver and environment settings. The protocol will be designed to allow accelerated testing and identification of fringe cases and stress points where automated systems will be prone to failure.3) Provide safety certification standard recommendations that regulatory agencies at the state and federal levels and the private sector can use, if they so choose.4) Involve stakeholders, i.e., government agencies and private sector companies, in the CAV testing and enable discussion on safety and certification processes.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Autonomous vehicles; Computer vision; Connected vehicles; Hardware in the loop simulation; Level 2 driving automation; Level 3 driving automation; Recommendations; Stakeholders; Standards; Test procedures; Vehicle Safety+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Safety testing for connected and automated vehicles through physical and digital iterative deployment [R27]' Description:'Currently, many manufacturers are selling vehicles with SAE Level 2 or 3 automation and testing with more advanced vehicles on public roads (level 4). However, recent crashes have raised critical questions about their safety. Are these vehicles with lower or higher automation safe enough to drive on public roads, and more fundamentally, how do we assess their safety envelope? Currently, there is no consensus about whether testing should exist at the state or federal level, what functions should be tested, and how independent testing should occur, and what constitutes safe thresholds.In this CSCRS project, we seek to address this gap by developing a comprehensive testing protocol specifically for Level 2 and 3 connected and automated vehicles by using a novel software and physical deployment platform which allows rapid iterative development. With such a testing protocol, automated vehicles can be systematically tested and certified to be generally safe before being tested on public roads. The key objectives of this research are to:1) Conduct a thorough review of ongoing efforts by standards organizations such as SAE, ISO and others including the UL 4600 standard under development.2) Develop a testing protocol that will standardize how to systematically and safely test Level 2 and 3 automated vehicles regarding their functions and capabilities with considerations of the driver and environment settings. The protocol will be designed to allow accelerated testing and identification of fringe cases and stress points where automated systems will be prone to failure.3) Provide safety certification standard recommendations that regulatory agencies at the state and federal levels and the private sector can use, if they so choose.4) Involve stakeholders, i.e., government agencies and private sector companies, in the CAV testing and enable discussion on safety and certification processes.' Subject:'Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Currently, many manufacturers are selling vehicles with SAE Level 2 or 3 automation and testing with more advanced vehicles on public roads (level 4). However, recent crashes have raised critical questions about their safety. Are these vehicles with lower or higher automation safe enough to drive on public roads, and more fundamentally, how do we assess their safety envelope? Currently, there is no consensus about whether testing should exist at the state or federal level, what functions should be tested, and how independent testing should occur, and what constitutes safe thresholds.In this CSCRS project, we seek to address this gap by developing a comprehensive testing protocol specifically for Level 2 and 3 connected and automated vehicles by using a novel software and physical deployment platform which allows rapid iterative development. With such a testing protocol, automated vehicles can be systematically tested and certified to be generally safe before being tested on public roads. The key objectives of this research are to:1) Conduct a thorough review of ongoing efforts by standards organizations such as SAE, ISO and others including the UL 4600 standard under development.2) Develop a testing protocol that will standardize how to systematically and safely test Level 2 and 3 automated vehicles regarding their functions and capabilities with considerations of the driver and environment settings. The protocol will be designed to allow accelerated testing and identification of fringe cases and stress points where automated systems will be prone to failure.3) Provide safety certification standard recommendations that regulatory agencies at the state and federal levels and the private sector can use, if they so choose.4) Involve stakeholders, i.e., government agencies and private sector companies, in the CAV testing and enable discussion on safety and certification processes.","Subject":"Engineering","Keywords":"Autonomous vehicles; Computer vision; Connected vehicles; Hardware in the loop simulation; Level 2 driving automation; Level 3 driving automation; Recommendations; Stakeholders; Standards; Test procedures; Vehicle Safety"},{"pid":"doi:10.18130/V3/1UOVKO","Title":"Data for: Interlaboratory study of digital volume correlation error due to X-ray computed tomography equipment and scan parameters","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for: Interlaboratory study of digital volume correlation error due to X-ray computed tomography equipment and scan parameters' Description:'The methods describing the acquisition of the dataset are described in the corresponding paper (submitted to Experimental Mechanics with the same title). In brief, six participating laboratories were asked to acquire a set of high-quality X-ray Computed Tomography (XCT) scans to test the repeatability and accuracy of image-based Digital Volume Correlation (DVC) displacement measurements. All participants independently developed their scan recipes and used different XCT equipment.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Digital Volume Correlation; Interlaboratory Study; X-ray Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for: Interlaboratory study of digital volume correlation error due to X-ray computed tomography equipment and scan parameters' Description:'The methods describing the acquisition of the dataset are described in the corresponding paper (submitted to Experimental Mechanics with the same title). In brief, six participating laboratories were asked to acquire a set of high-quality X-ray Computed Tomography (XCT) scans to test the repeatability and accuracy of image-based Digital Volume Correlation (DVC) displacement measurements. All participants independently developed their scan recipes and used different XCT equipment.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The methods describing the acquisition of the dataset are described in the corresponding paper (submitted to Experimental Mechanics with the same title). In brief, six participating laboratories were asked to acquire a set of high-quality X-ray Computed Tomography (XCT) scans to test the repeatability and accuracy of image-based Digital Volume Correlation (DVC) displacement measurements. All participants independently developed their scan recipes and used different XCT equipment.","Subject":"Engineering","Keywords":"Digital Volume Correlation; Interlaboratory Study; X-ray Computed Tomography"},{"pid":"doi:10.18130/V3/M9CP9C","Title":"Thermal Energy Harvesting Profiles in Residential Settings","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Thermal Energy Harvesting Profiles in Residential Settings' Description:'This repository contains the raw dataset, computed parameters and supporting material for the paper 'Dataset: Thermal Energy Harvesting Profiles in Residential Settings', accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal.We recommend users to navigate this dataset using the Tree view option since files are organized by folders. The 'README.md' file in the root directory provides a brief explanation of this repository contents.This material is based upon work supported in part by the National Science Foundation under grant CRISP-1735587.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Energy harvesting; IoT; Residential Settings; TEG+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Thermal Energy Harvesting Profiles in Residential Settings' Description:'This repository contains the raw dataset, computed parameters and supporting material for the paper 'Dataset: Thermal Energy Harvesting Profiles in Residential Settings', accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal.We recommend users to navigate this dataset using the Tree view option since files are organized by folders. The 'README.md' file in the root directory provides a brief explanation of this repository contents.This material is based upon work supported in part by the National Science Foundation under grant CRISP-1735587.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This repository contains the raw dataset, computed parameters and supporting material for the paper 'Dataset: Thermal Energy Harvesting Profiles in Residential Settings', accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal.We recommend users to navigate this dataset using the Tree view option since files are organized by folders. The 'README.md' file in the root directory provides a brief explanation of this repository contents.This material is based upon work supported in part by the National Science Foundation under grant CRISP-1735587.","Subject":" Engineering","Keywords":"Energy harvesting; IoT; Residential Settings; TEG"},{"pid":"doi:10.18130/V3/UVTOHO","Title":"Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness' Description:'Figures for 'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness'' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Superlattice; Scanning Transmission Electron Microscopy; Electron Energy-Loss Spectroscopy; Integrated Differential Phase Contrast SrTiO3; CaTiO3; Electronic Structure; Vibrational Structure; Phonon+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness' Description:'Figures for 'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness'' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Figures for 'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness'","Subject":"Engineering","Keywords":"Superlattice; Scanning Transmission Electron Microscopy; Electron Energy-Loss Spectroscopy; Integrated Differential Phase Contrast SrTiO3; CaTiO3; Electronic Structure; Vibrational Structure; Phonon"},{"pid":"doi:10.18710/06HSDA","Title":"Replication Data for: Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system' Description:'This dataset contains complete Balmorel energy system model framework, input datasets, and the modelling results for 'Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system.' The objective of the study was to analyze the impact of full heating decarbonization in the northern Europe by 2050.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Balmorel; Decarbonization; Decentralized heat; Energy system+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system' Description:'This dataset contains complete Balmorel energy system model framework, input datasets, and the modelling results for 'Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system.' The objective of the study was to analyze the impact of full heating decarbonization in the northern Europe by 2050.' Subject:'Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains complete Balmorel energy system model framework, input datasets, and the modelling results for 'Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system.' The objective of the study was to analyze the impact of full heating decarbonization in the northern Europe by 2050.","Subject":"Engineering","Keywords":"Balmorel; Decarbonization; Decentralized heat; Energy system"},{"pid":"doi:10.18710/0UMYZ9","Title":"Replication data for:MultiPACK Project: Dynamic modelling and validation of an air-to-water reversible R744 heat pump for high energy demand buildings","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for:MultiPACK Project: Dynamic modelling and validation of an air-to-water reversible R744 heat pump for high energy demand buildings' Description:'In this dataset, data from the pre-commissioning tests of the MultiPACK unit for hotels that were carried out at the factory’s facilities were shared.The scheme of the refrigerating system is provided in Figure 1, while the characteristics of the main components are listed in Table 1. The unit has two semi-hermetic compressors (compressor(1) and compressor(2)), two brazed-plate gas-coolers (gas-cooler(1) and gas-cooler(2)), a finned-coil heat exchanger (gas-cooler/evaporator(3)), an internal heat exchanger (IHX) between the compressor suction line and gas-cooler outlet line, a back-pressure valve (BPV), a multi-ejector rack, a low-pressure receiver (LPR) and an electronic expansion valves (EEV(1)). The operation of the system can be switched between two main configurations, i.e. heat pump and chiller, by means of circulation valves located in the circuit.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Air conditioning; Carbon dioxide; Heat pump; integrated refrigeration system; numerical simulation; Reversible heat pump+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for:MultiPACK Project: Dynamic modelling and validation of an air-to-water reversible R744 heat pump for high energy demand buildings' Description:'In this dataset, data from the pre-commissioning tests of the MultiPACK unit for hotels that were carried out at the factory’s facilities were shared.The scheme of the refrigerating system is provided in Figure 1, while the characteristics of the main components are listed in Table 1. The unit has two semi-hermetic compressors (compressor(1) and compressor(2)), two brazed-plate gas-coolers (gas-cooler(1) and gas-cooler(2)), a finned-coil heat exchanger (gas-cooler/evaporator(3)), an internal heat exchanger (IHX) between the compressor suction line and gas-cooler outlet line, a back-pressure valve (BPV), a multi-ejector rack, a low-pressure receiver (LPR) and an electronic expansion valves (EEV(1)). The operation of the system can be switched between two main configurations, i.e. heat pump and chiller, by means of circulation valves located in the circuit.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In this dataset, data from the pre-commissioning tests of the MultiPACK unit for hotels that were carried out at the factory’s facilities were shared.The scheme of the refrigerating system is provided in Figure 1, while the characteristics of the main components are listed in Table 1. The unit has two semi-hermetic compressors (compressor(1) and compressor(2)), two brazed-plate gas-coolers (gas-cooler(1) and gas-cooler(2)), a finned-coil heat exchanger (gas-cooler/evaporator(3)), an internal heat exchanger (IHX) between the compressor suction line and gas-cooler outlet line, a back-pressure valve (BPV), a multi-ejector rack, a low-pressure receiver (LPR) and an electronic expansion valves (EEV(1)). The operation of the system can be switched between two main configurations, i.e. heat pump and chiller, by means of circulation valves located in the circuit.","Subject":"Engineering","Keywords":"Air conditioning; Carbon dioxide; Heat pump; integrated refrigeration system; numerical simulation; Reversible heat pump"},{"pid":"doi:10.18710/20VIVT","Title":"The typelog from the Geosteering World Cup 2020 semi-finals","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The typelog from the Geosteering World Cup 2020 semi-finals' Description:'This dataset contains the offset-well gamma-ray log (typelog) from the Geosteering World Cup 2020 semi-finals organized by Rogii Inc., the unconventional well described in Tadjer et al. 2021. The data is in gr.csv. This synthetic log is built based on observation in the Middle Woodford formation, located in the South Central Oklahoma Oil Province (SCOOP) in the United States. The log is discretized every half a foot and we normalize the values of the log to 0-1 interval.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {gamma-ray log; geophysical log; geosteering; geosteering world cup; South Central Oklahoma Oil Province+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The typelog from the Geosteering World Cup 2020 semi-finals' Description:'This dataset contains the offset-well gamma-ray log (typelog) from the Geosteering World Cup 2020 semi-finals organized by Rogii Inc., the unconventional well described in Tadjer et al. 2021. The data is in gr.csv. This synthetic log is built based on observation in the Middle Woodford formation, located in the South Central Oklahoma Oil Province (SCOOP) in the United States. The log is discretized every half a foot and we normalize the values of the log to 0-1 interval.' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the offset-well gamma-ray log (typelog) from the Geosteering World Cup 2020 semi-finals organized by Rogii Inc., the unconventional well described in Tadjer et al. 2021. The data is in gr.csv. This synthetic log is built based on observation in the Middle Woodford formation, located in the South Central Oklahoma Oil Province (SCOOP) in the United States. The log is discretized every half a foot and we normalize the values of the log to 0-1 interval.","Subject":" Engineering","Keywords":"gamma-ray log; geophysical log; geosteering; geosteering world cup; South Central Oklahoma Oil Province"},{"pid":"doi:10.18710/3OJHDN","Title":"Replication Data for: Closure Law Model Uncertainty Quantification","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Closure Law Model Uncertainty Quantification' Description:'The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {closure laws; ledaflow; multiphase flow; prediction; uncertainty propagation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Closure Law Model Uncertainty Quantification' Description:'The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.","Subject":"Engineering","Keywords":"closure laws; ledaflow; multiphase flow; prediction; uncertainty propagation"},{"pid":"doi:10.18710/5DGE7C","Title":"GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters' Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters' Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' Subject:'Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.","Subject":" Engineering","Keywords":"humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS"},{"pid":"doi:10.18710/5XYALW","Title":"Icing Validation Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Icing Validation Database' Description:'This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental datasets in the literature. For each entry, a series of parameters have been identified, including the investigated geometries, Reynolds numbers, Mach numbers, icing envelopes.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {icing, ice protection system, IPS, UAV, UAS, unmanned aerial vehicle, unmanned aerial system, drone+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Icing Validation Database' Description:'This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental datasets in the literature. For each entry, a series of parameters have been identified, including the investigated geometries, Reynolds numbers, Mach numbers, icing envelopes.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental datasets in the literature. For each entry, a series of parameters have been identified, including the investigated geometries, Reynolds numbers, Mach numbers, icing envelopes.","Subject":"Engineering","Keywords":"icing, ice protection system, IPS, UAV, UAS, unmanned aerial vehicle, unmanned aerial system, drone"},{"pid":"doi:10.18738/T8/SZU18S","Title":"Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {1972-1990; 20th century; Cuban Revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.","Subject":" Engineering","Keywords":"1972-1990; 20th century; Cuban Revolution"},{"pid":"doi:10.18710/8O9ZV0","Title":"Replication data for : MultiPACK project_An integrated CO2 unit for heating, cooling and DHW installed in a hotel-Data from the field.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for : MultiPACK project_An integrated CO2 unit for heating, cooling and DHW installed in a hotel-Data from the field.' Description:'This dataset provides data for a new heat pump unit intended to provide heating, cooling and hot water to a hotel and using CO2 as the working fluid. The heat pump was installed in mid-2018 in a hotel located in a touristic area in North Italy and open nearly all over the year. The unit can benefit from groundwater as a heat source or heat sink. The heat pump features a two-phase multi-ejector as an expansion device. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven. It is fully equipped with measurement instruments, data acquisition system and cloud data storage developed and tailored for the unit.The unit was developed, instrumented, installed and monitored within the H2020 MultiPACKthe project, which aims at building confidence in integrated heating, ventilation, air conditioning and refrigeration packages based on CO2 technology in high energy-demanding buildings.In this dataset, operational parameters and performance data will be presented, related to winterseason, thus to heating and domestic hot water service.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cooling; heating; heat pump; integrated CO2; multi-ejector; refrigeration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for : MultiPACK project_An integrated CO2 unit for heating, cooling and DHW installed in a hotel-Data from the field.' Description:'This dataset provides data for a new heat pump unit intended to provide heating, cooling and hot water to a hotel and using CO2 as the working fluid. The heat pump was installed in mid-2018 in a hotel located in a touristic area in North Italy and open nearly all over the year. The unit can benefit from groundwater as a heat source or heat sink. The heat pump features a two-phase multi-ejector as an expansion device. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven. It is fully equipped with measurement instruments, data acquisition system and cloud data storage developed and tailored for the unit.The unit was developed, instrumented, installed and monitored within the H2020 MultiPACKthe project, which aims at building confidence in integrated heating, ventilation, air conditioning and refrigeration packages based on CO2 technology in high energy-demanding buildings.In this dataset, operational parameters and performance data will be presented, related to winterseason, thus to heating and domestic hot water service.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset provides data for a new heat pump unit intended to provide heating, cooling and hot water to a hotel and using CO2 as the working fluid. The heat pump was installed in mid-2018 in a hotel located in a touristic area in North Italy and open nearly all over the year. The unit can benefit from groundwater as a heat source or heat sink. The heat pump features a two-phase multi-ejector as an expansion device. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven. It is fully equipped with measurement instruments, data acquisition system and cloud data storage developed and tailored for the unit.The unit was developed, instrumented, installed and monitored within the H2020 MultiPACKthe project, which aims at building confidence in integrated heating, ventilation, air conditioning and refrigeration packages based on CO2 technology in high energy-demanding buildings.In this dataset, operational parameters and performance data will be presented, related to winterseason, thus to heating and domestic hot water service.","Subject":"Engineering","Keywords":"cooling; heating; heat pump; integrated CO2; multi-ejector; refrigeration"},{"pid":"doi:10.18738/T8/T1XCT5","Title":"crude_low_ca_matrix_M1","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'crude_low_ca_matrix_M1' Description:'Fluid in place: crude oilCapillary number: lowFracture status: none, M1' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'crude_low_ca_matrix_M1' Description:'Fluid in place: crude oilCapillary number: lowFracture status: none, M1' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid in place: crude oilCapillary number: lowFracture status: none, M1","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18710/BG1QNG","Title":"UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.","Subject":" Engineering","Keywords":"Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement"},{"pid":"doi:10.18710/SAIANK","Title":"Carbon Dioxide Transportation Energy Model","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Carbon Dioxide Transportation Energy Model' Description:'This dataset comprises a model for the calculation of the energy consumption associated with the transportation of CO2, the basis data for the model, validation data and a set of sample results. The model is intended for use as part of the study of Carbon Capture and Storage (CCS) chain alternatives. A description of the method used to develop the model will be published separately. Instructions for use of the model are contained in the file 'Main'.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CCS; CO2; Energy; Liquefaction; Pipeline; Transportation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Carbon Dioxide Transportation Energy Model' Description:'This dataset comprises a model for the calculation of the energy consumption associated with the transportation of CO2, the basis data for the model, validation data and a set of sample results. The model is intended for use as part of the study of Carbon Capture and Storage (CCS) chain alternatives. A description of the method used to develop the model will be published separately. Instructions for use of the model are contained in the file 'Main'.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset comprises a model for the calculation of the energy consumption associated with the transportation of CO2, the basis data for the model, validation data and a set of sample results. The model is intended for use as part of the study of Carbon Capture and Storage (CCS) chain alternatives. A description of the method used to develop the model will be published separately. Instructions for use of the model are contained in the file 'Main'.","Subject":"Engineering","Keywords":"CCS; CO2; Energy; Liquefaction; Pipeline; Transportation"},{"pid":"doi:10.21950/DM47HJ","Title":"Matlab Figures of the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Matlab Figures of the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM'' Description:'The dataset contains all the figures present in the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM' in .fig format, so they can be opened and used for comparison purposes.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Channel estimation; Differential modulation; High-mobility; Massive SIMO; Non-coherent+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Matlab Figures of the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM'' Description:'The dataset contains all the figures present in the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM' in .fig format, so they can be opened and used for comparison purposes.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset contains all the figures present in the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM' in .fig format, so they can be opened and used for comparison purposes.","Subject":"Engineering","Keywords":"Channel estimation; Differential modulation; High-mobility; Massive SIMO; Non-coherent"},{"pid":"doi:10.18710/CHYUQX","Title":"Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'' Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Corrosion; Iron; Materials Science; Photocorrosion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'' Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.","Subject":" Engineering","Keywords":"Corrosion; Iron; Materials Science; Photocorrosion"},{"pid":"doi:10.18710/DHACHZ","Title":"Data on dimensional and geometric accuracy for laser-based powder bed fusion of PA12 (PA2200)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data on dimensional and geometric accuracy for laser-based powder bed fusion of PA12 (PA2200)' Description:'This dataset contains measurements of dimensional- and geometric accuracy in laser-based powder bed fusion, with relevant background data. The experiment was conducted to investigate the effect of part build orientation on the dimensional- and geometric accuracy. The experiment was conducted at NTNU in Gjøvik where 135 specimens were produced over 3 builds alongside 372 additional parts not included in the main study. An elaborate build layout was designed to enable analysis of part position as well as orientation in the build chamber. An EOSINT P395 machine was used with a 50/50 blend of virgin and recycled PA12 polymer powder (PA2200 provided by EOS). The specimens were measured in a Zeiss Duramax coordinate measuring machine for minimum measurement error.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accuracy; Additive Manufacturing; Laser-based powder bed fusion; PA12; Selective Laser Sintering; Tolerance engineering+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data on dimensional and geometric accuracy for laser-based powder bed fusion of PA12 (PA2200)' Description:'This dataset contains measurements of dimensional- and geometric accuracy in laser-based powder bed fusion, with relevant background data. The experiment was conducted to investigate the effect of part build orientation on the dimensional- and geometric accuracy. The experiment was conducted at NTNU in Gjøvik where 135 specimens were produced over 3 builds alongside 372 additional parts not included in the main study. An elaborate build layout was designed to enable analysis of part position as well as orientation in the build chamber. An EOSINT P395 machine was used with a 50/50 blend of virgin and recycled PA12 polymer powder (PA2200 provided by EOS). The specimens were measured in a Zeiss Duramax coordinate measuring machine for minimum measurement error.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains measurements of dimensional- and geometric accuracy in laser-based powder bed fusion, with relevant background data. The experiment was conducted to investigate the effect of part build orientation on the dimensional- and geometric accuracy. The experiment was conducted at NTNU in Gjøvik where 135 specimens were produced over 3 builds alongside 372 additional parts not included in the main study. An elaborate build layout was designed to enable analysis of part position as well as orientation in the build chamber. An EOSINT P395 machine was used with a 50/50 blend of virgin and recycled PA12 polymer powder (PA2200 provided by EOS). The specimens were measured in a Zeiss Duramax coordinate measuring machine for minimum measurement error.","Subject":"Engineering","Keywords":"Accuracy; Additive Manufacturing; Laser-based powder bed fusion; PA12; Selective Laser Sintering; Tolerance engineering"},{"pid":"doi:10.18738/T8/BCKNMU","Title":"Phantom Data - Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Phantom Data - Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Description:'Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {phantoms, SFDI, sd-SFDI+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Phantom Data - Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Description:'Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging","Subject":"Engineering","Keywords":"phantoms, SFDI, sd-SFDI"},{"pid":"doi:10.18710/GDGHZR","Title":"Pigs: A stepwise RGB-D novel pig carcass cutting dataset.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Pigs: A stepwise RGB-D novel pig carcass cutting dataset.' Description:'A pig carcass cutting dataset, captured from a bespoke frame structure with 6 intel realsense D415 cameras attached. The data is composed of bags files recorded from the intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, five additional JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure, are also provided.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cut; Pig Carcass; RGB-D+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Pigs: A stepwise RGB-D novel pig carcass cutting dataset.' Description:'A pig carcass cutting dataset, captured from a bespoke frame structure with 6 intel realsense D415 cameras attached. The data is composed of bags files recorded from the intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, five additional JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure, are also provided.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A pig carcass cutting dataset, captured from a bespoke frame structure with 6 intel realsense D415 cameras attached. The data is composed of bags files recorded from the intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, five additional JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure, are also provided.","Subject":"Engineering","Keywords":"Cut; Pig Carcass; RGB-D"},{"pid":"doi:10.18710/GYVNEL","Title":"Replication data for: ENOUGH Project: Performance evaluation of high-temperature heat pump systems for hot water and steam generation in food processing","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: ENOUGH Project: Performance evaluation of high-temperature heat pump systems for hot water and steam generation in food processing' Description:'In this dataset, data from the ENOUGH project for the evaluation of the applicability of different high-temperature heat pumps in food processing are shared.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Energy savings; GHG-emissions reduction; High-temperature heat pump; Steam generation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: ENOUGH Project: Performance evaluation of high-temperature heat pump systems for hot water and steam generation in food processing' Description:'In this dataset, data from the ENOUGH project for the evaluation of the applicability of different high-temperature heat pumps in food processing are shared.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In this dataset, data from the ENOUGH project for the evaluation of the applicability of different high-temperature heat pumps in food processing are shared.","Subject":"Engineering","Keywords":"Energy savings; GHG-emissions reduction; High-temperature heat pump; Steam generation"},{"pid":"doi:10.18710/HMJVFM","Title":"Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening' Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Classification; Detection; Human; Point Cloud; RGB-D; Vision+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening' Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.","Subject":" Engineering","Keywords":"Classification; Detection; Human; Point Cloud; RGB-D; Vision"},{"pid":"doi:10.18710/HS8QAH","Title":"Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement' Description:'The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, 'Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement' was published at a conference (Compressors Conferences).' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement' Description:'The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, 'Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement' was published at a conference (Compressors Conferences).' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, 'Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement' was published at a conference (Compressors Conferences).","Subject":"Engineering","Keywords":"Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration"},{"pid":"doi:10.18710/HTYHJP","Title":"Replication Data for: MultiPACK_Projecet_Modeling of a CO2-based integrated refrigeration system for supermarkets","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK_Projecet_Modeling of a CO2-based integrated refrigeration system for supermarkets' Description:'This dataset provides the field and numerical data of a study that focuses on the fully integrated CO2 refrigeration system configuration for a supermarket in Porto de Mos, Portugal, which was equipped and fully monitored through the EU funded project MultiPACK. A dynamic system model was developed in Modelica and validated against measurement data from the site recorded for one week. The model is used to provide additional ejector performance data supporting the obtained measurement data and to evaluate system configuration 18 at equivalent boundary conditions.The integrated CO2 refrigeration units installed in the frame of the MultiPACK project meet refrigeration (freezing and cooling), space heating, space cooling and hot water production loads. The layout of the unit introduced in this dataset is detailed in Figure 1. The system includes the main state-of-the-art technologies for CO2 refrigeration units such as ejector supported parallel compression, with ejectors for expansion work recovery and liquid ejectors for evaporator operation with minimized (or even zero) superheating, space heating and air conditioning through CO2-air rooftop units (RTUs), heat pump mode evaporator, etcThe compressor pack is an ejector-supported booster system with parallel compression. Three semi-hermetic compressors are installed at medium temperature (MT) level, three compressors at low temperature (LT) level, and there are four parallel compressors implemented mostly for air conditioning (AC), as detailed in Table 1. Smooth capacity modulation is achieved by inverter drives for one compressor per compressor level (30 to 60 Hz). The total installed electrical power for all compressors and auxiliary equipment (gas cooler/desuperheater fans, etc.) corresponds to 177 kW, excluding the fans for the RTUs. High-pressure CO2 can be applied for heating domestic hot water (DHW) up to 60 °C before the remaining heat may be utilized in the RTUs. Excess heat of the CO2 is then rejected to the ambient air by the gas cooler (GC), which can be partially or completely bypassed if needed. Depending on the operation mode of the package, the expansion from the high-pressure level into the liquid receiver tank at an intermediate pressure level in the range of 35 – 45 bar is done by either ejectors (high-pressure ejector or AC ejector) or by a high-pressure control valve (HPV). The ejectors implemented in the system are of fixed geometry and different sizes, arranged in blocks and each ejector enabled or disabled in a coordinated manner depending on the capacity requested (Multi Ejector concept by Danfoss [9]).The liquid receiver separates the flash gas and liquid phase and accumulates the liquid to manage charge variations in the circuit and to provide a sufficient liquid head. The liquid CO2 is subcooled and distributed to the LT, MT and AC evaporators. The flash gas is either compressed by the AUX compressors or throttled by the flash gas bypass valve (FGBV) to the suction of the MT compressors, depending on the operating conditions.The LT loads of the supermarket comprise cabinets, freezing rooms and an ice machine. The liquid CO2 mass flow supplied to the LT load is measured by a Coriolis mass flow meter, marked as M4 in Figure 1. The expansion to LT evaporation pressure is realized with electronic expansion valves separately controlled for each load. The low-pressure gas from the LT evaporators is heated due to subcooling of the liquid CO2 before it is compressed by the LT compressors to the MT separator pressure level.The MT loads consist of open and closed cabinets and cold rooms, which are equipped with separate controlled electronic expansion valves. The supplied liquid CO2 mass flow to the MT loads is measured by Coriolis mass flow meter M3. A separator tank prevents liquid suction by the MT compressors. In case of excess liquid accumulation in the separator tank, a liquid ejector block is activated to return liquid to the receiver. The high-pressure ejector block recovers expansion work to suck part of the gaseous CO2 from the separator tank back to the liquid receiver. This unloads the MT compressors in favour of the AUX (parallel) compressors, which operate with a lower pressure ratio.The space heating and cooling demand of the supermarket is supplied by means of two rooftop units (RTUs). In the rooftop units, CO2 directly flows into the heating and cooling coils. The arrangement of the rooftop units enables the usage of dehumidification. AC in the rooftop unit can be either provided by an ejector-supported AC operation or by utilizing direct expansion (DX) from downstream the GC:•For the ejector-supported AC operation mode, an ejector block with low pressure (LP) lift but a high entrainment ratio is utilized. In this case, the entire vapour of the AC evaporators is being sucked by the LP ejector and lifted to the receiver pressure level. Coriolis mass flow meter M1 measures the CO2 mass flow rate for this AC operation mode.•In the case of a DX AC mode, Coriolis mass flow meter M5 is utilized to determine the CO2 mass flow rate through the RTUs. The direct evaporation in the heat exchanger can be operated with ultra-low superheat. The increased flash gas amount during AC operation is handled by dedicated AC compressors.The AC compressors can also be utilized for additional heat rejection mode (i.e., heat pump mode). This mode can be activated when the heat that is available during standard cooling mode is insufficient to completely cover the heating demand requested by the RTUs. The heat pump mode utilizes ambient air as a heat source for the separate set of coils in the gas cooler that operate as an evaporator with liquid CO2 supplied by the liquid receiver. A solenoid valve is installed allowing an independent heat pump functionality for some AC compressors, while others still can remove flash gas.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CO2 commercial refrigeration; dynamic modeling; energy efficient; Heat recovery; integrated refrigeration system; Modelica; R744+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK_Projecet_Modeling of a CO2-based integrated refrigeration system for supermarkets' Description:'This dataset provides the field and numerical data of a study that focuses on the fully integrated CO2 refrigeration system configuration for a supermarket in Porto de Mos, Portugal, which was equipped and fully monitored through the EU funded project MultiPACK. A dynamic system model was developed in Modelica and validated against measurement data from the site recorded for one week. The model is used to provide additional ejector performance data supporting the obtained measurement data and to evaluate system configuration 18 at equivalent boundary conditions.The integrated CO2 refrigeration units installed in the frame of the MultiPACK project meet refrigeration (freezing and cooling), space heating, space cooling and hot water production loads. The layout of the unit introduced in this dataset is detailed in Figure 1. The system includes the main state-of-the-art technologies for CO2 refrigeration units such as ejector supported parallel compression, with ejectors for expansion work recovery and liquid ejectors for evaporator operation with minimized (or even zero) superheating, space heating and air conditioning through CO2-air rooftop units (RTUs), heat pump mode evaporator, etcThe compressor pack is an ejector-supported booster system with parallel compression. Three semi-hermetic compressors are installed at medium temperature (MT) level, three compressors at low temperature (LT) level, and there are four parallel compressors implemented mostly for air conditioning (AC), as detailed in Table 1. Smooth capacity modulation is achieved by inverter drives for one compressor per compressor level (30 to 60 Hz). The total installed electrical power for all compressors and auxiliary equipment (gas cooler/desuperheater fans, etc.) corresponds to 177 kW, excluding the fans for the RTUs. High-pressure CO2 can be applied for heating domestic hot water (DHW) up to 60 °C before the remaining heat may be utilized in the RTUs. Excess heat of the CO2 is then rejected to the ambient air by the gas cooler (GC), which can be partially or completely bypassed if needed. Depending on the operation mode of the package, the expansion from the high-pressure level into the liquid receiver tank at an intermediate pressure level in the range of 35 – 45 bar is done by either ejectors (high-pressure ejector or AC ejector) or by a high-pressure control valve (HPV). The ejectors implemented in the system are of fixed geometry and different sizes, arranged in blocks and each ejector enabled or disabled in a coordinated manner depending on the capacity requested (Multi Ejector concept by Danfoss [9]).The liquid receiver separates the flash gas and liquid phase and accumulates the liquid to manage charge variations in the circuit and to provide a sufficient liquid head. The liquid CO2 is subcooled and distributed to the LT, MT and AC evaporators. The flash gas is either compressed by the AUX compressors or throttled by the flash gas bypass valve (FGBV) to the suction of the MT compressors, depending on the operating conditions.The LT loads of the supermarket comprise cabinets, freezing rooms and an ice machine. The liquid CO2 mass flow supplied to the LT load is measured by a Coriolis mass flow meter, marked as M4 in Figure 1. The expansion to LT evaporation pressure is realized with electronic expansion valves separately controlled for each load. The low-pressure gas from the LT evaporators is heated due to subcooling of the liquid CO2 before it is compressed by the LT compressors to the MT separator pressure level.The MT loads consist of open and closed cabinets and cold rooms, which are equipped with separate controlled electronic expansion valves. The supplied liquid CO2 mass flow to the MT loads is measured by Coriolis mass flow meter M3. A separator tank prevents liquid suction by the MT compressors. In case of excess liquid accumulation in the separator tank, a liquid ejector block is activated to return liquid to the receiver. The high-pressure ejector block recovers expansion work to suck part of the gaseous CO2 from the separator tank back to the liquid receiver. This unloads the MT compressors in favour of the AUX (parallel) compressors, which operate with a lower pressure ratio.The space heating and cooling demand of the supermarket is supplied by means of two rooftop units (RTUs). In the rooftop units, CO2 directly flows into the heating and cooling coils. The arrangement of the rooftop units enables the usage of dehumidification. AC in the rooftop unit can be either provided by an ejector-supported AC operation or by utilizing direct expansion (DX) from downstream the GC:•For the ejector-supported AC operation mode, an ejector block with low pressure (LP) lift but a high entrainment ratio is utilized. In this case, the entire vapour of the AC evaporators is being sucked by the LP ejector and lifted to the receiver pressure level. Coriolis mass flow meter M1 measures the CO2 mass flow rate for this AC operation mode.•In the case of a DX AC mode, Coriolis mass flow meter M5 is utilized to determine the CO2 mass flow rate through the RTUs. The direct evaporation in the heat exchanger can be operated with ultra-low superheat. The increased flash gas amount during AC operation is handled by dedicated AC compressors.The AC compressors can also be utilized for additional heat rejection mode (i.e., heat pump mode). This mode can be activated when the heat that is available during standard cooling mode is insufficient to completely cover the heating demand requested by the RTUs. The heat pump mode utilizes ambient air as a heat source for the separate set of coils in the gas cooler that operate as an evaporator with liquid CO2 supplied by the liquid receiver. A solenoid valve is installed allowing an independent heat pump functionality for some AC compressors, while others still can remove flash gas.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset provides the field and numerical data of a study that focuses on the fully integrated CO2 refrigeration system configuration for a supermarket in Porto de Mos, Portugal, which was equipped and fully monitored through the EU funded project MultiPACK. A dynamic system model was developed in Modelica and validated against measurement data from the site recorded for one week. The model is used to provide additional ejector performance data supporting the obtained measurement data and to evaluate system configuration 18 at equivalent boundary conditions.The integrated CO2 refrigeration units installed in the frame of the MultiPACK project meet refrigeration (freezing and cooling), space heating, space cooling and hot water production loads. The layout of the unit introduced in this dataset is detailed in Figure 1. The system includes the main state-of-the-art technologies for CO2 refrigeration units such as ejector supported parallel compression, with ejectors for expansion work recovery and liquid ejectors for evaporator operation with minimized (or even zero) superheating, space heating and air conditioning through CO2-air rooftop units (RTUs), heat pump mode evaporator, etcThe compressor pack is an ejector-supported booster system with parallel compression. Three semi-hermetic compressors are installed at medium temperature (MT) level, three compressors at low temperature (LT) level, and there are four parallel compressors implemented mostly for air conditioning (AC), as detailed in Table 1. Smooth capacity modulation is achieved by inverter drives for one compressor per compressor level (30 to 60 Hz). The total installed electrical power for all compressors and auxiliary equipment (gas cooler/desuperheater fans, etc.) corresponds to 177 kW, excluding the fans for the RTUs. High-pressure CO2 can be applied for heating domestic hot water (DHW) up to 60 °C before the remaining heat may be utilized in the RTUs. Excess heat of the CO2 is then rejected to the ambient air by the gas cooler (GC), which can be partially or completely bypassed if needed. Depending on the operation mode of the package, the expansion from the high-pressure level into the liquid receiver tank at an intermediate pressure level in the range of 35 – 45 bar is done by either ejectors (high-pressure ejector or AC ejector) or by a high-pressure control valve (HPV). The ejectors implemented in the system are of fixed geometry and different sizes, arranged in blocks and each ejector enabled or disabled in a coordinated manner depending on the capacity requested (Multi Ejector concept by Danfoss [9]).The liquid receiver separates the flash gas and liquid phase and accumulates the liquid to manage charge variations in the circuit and to provide a sufficient liquid head. The liquid CO2 is subcooled and distributed to the LT, MT and AC evaporators. The flash gas is either compressed by the AUX compressors or throttled by the flash gas bypass valve (FGBV) to the suction of the MT compressors, depending on the operating conditions.The LT loads of the supermarket comprise cabinets, freezing rooms and an ice machine. The liquid CO2 mass flow supplied to the LT load is measured by a Coriolis mass flow meter, marked as M4 in Figure 1. The expansion to LT evaporation pressure is realized with electronic expansion valves separately controlled for each load. The low-pressure gas from the LT evaporators is heated due to subcooling of the liquid CO2 before it is compressed by the LT compressors to the MT separator pressure level.The MT loads consist of open and closed cabinets and cold rooms, which are equipped with separate controlled electronic expansion valves. The supplied liquid CO2 mass flow to the MT loads is measured by Coriolis mass flow meter M3. A separator tank prevents liquid suction by the MT compressors. In case of excess liquid accumulation in the separator tank, a liquid ejector block is activated to return liquid to the receiver. The high-pressure ejector block recovers expansion work to suck part of the gaseous CO2 from the separator tank back to the liquid receiver. This unloads the MT compressors in favour of the AUX (parallel) compressors, which operate with a lower pressure ratio.The space heating and cooling demand of the supermarket is supplied by means of two rooftop units (RTUs). In the rooftop units, CO2 directly flows into the heating and cooling coils. The arrangement of the rooftop units enables the usage of dehumidification. AC in the rooftop unit can be either provided by an ejector-supported AC operation or by utilizing direct expansion (DX) from downstream the GC:•For the ejector-supported AC operation mode, an ejector block with low pressure (LP) lift but a high entrainment ratio is utilized. In this case, the entire vapour of the AC evaporators is being sucked by the LP ejector and lifted to the receiver pressure level. Coriolis mass flow meter M1 measures the CO2 mass flow rate for this AC operation mode.•In the case of a DX AC mode, Coriolis mass flow meter M5 is utilized to determine the CO2 mass flow rate through the RTUs. The direct evaporation in the heat exchanger can be operated with ultra-low superheat. The increased flash gas amount during AC operation is handled by dedicated AC compressors.The AC compressors can also be utilized for additional heat rejection mode (i.e., heat pump mode). This mode can be activated when the heat that is available during standard cooling mode is insufficient to completely cover the heating demand requested by the RTUs. The heat pump mode utilizes ambient air as a heat source for the separate set of coils in the gas cooler that operate as an evaporator with liquid CO2 supplied by the liquid receiver. A solenoid valve is installed allowing an independent heat pump functionality for some AC compressors, while others still can remove flash gas.","Subject":"Engineering","Keywords":"CO2 commercial refrigeration; dynamic modeling; energy efficient; Heat recovery; integrated refrigeration system; Modelica; R744"},{"pid":"doi:10.18710/IZ63JH","Title":"Replication data for 'Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy'' Description:'The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Absorption spectroscopy; NIR spectroscopy; Supercontinuum laser+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy'' Description:'The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.","Subject":"Engineering","Keywords":"Absorption spectroscopy; NIR spectroscopy; Supercontinuum laser"},{"pid":"doi:10.18710/JVZ547","Title":"Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' Description:'The dataset presents, the estimation of the Multi-ejector performance in a supermarket, based on the compressor mass flow rates from a trained data-driven method, (refer to https://doi.org/10.18710/HS8QAH) and the comparison with the existing performance function based on operational conditions. The pilot installation used the dataset is in the frame of MultiPack, an EU funded project.The Multipack is an integrated R744 parallel compression system with expansion work recovery through Multi Ejector SolutionTM, providing: refrigeration, space heating and cooling, and hot water production as shown in Figure 1. The space cooling and heating are by two direct CO2 rooftop air handling units. Three compression groups were installed in the pilot. Three compressors for medium temperature level (MT comp), three compressors at Low-Temperature level (LT comp), and four units are dedicated for Air-Conditioning (AC comp) total installed electrical power for compressors and fans is 177 kW (Excluding air handling fans). A paper, based on this dataset, 'Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' was published at a conference (Compressors Conferences).' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' Description:'The dataset presents, the estimation of the Multi-ejector performance in a supermarket, based on the compressor mass flow rates from a trained data-driven method, (refer to https://doi.org/10.18710/HS8QAH) and the comparison with the existing performance function based on operational conditions. The pilot installation used the dataset is in the frame of MultiPack, an EU funded project.The Multipack is an integrated R744 parallel compression system with expansion work recovery through Multi Ejector SolutionTM, providing: refrigeration, space heating and cooling, and hot water production as shown in Figure 1. The space cooling and heating are by two direct CO2 rooftop air handling units. Three compression groups were installed in the pilot. Three compressors for medium temperature level (MT comp), three compressors at Low-Temperature level (LT comp), and four units are dedicated for Air-Conditioning (AC comp) total installed electrical power for compressors and fans is 177 kW (Excluding air handling fans). A paper, based on this dataset, 'Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' was published at a conference (Compressors Conferences).' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset presents, the estimation of the Multi-ejector performance in a supermarket, based on the compressor mass flow rates from a trained data-driven method, (refer to https://doi.org/10.18710/HS8QAH) and the comparison with the existing performance function based on operational conditions. The pilot installation used the dataset is in the frame of MultiPack, an EU funded project.The Multipack is an integrated R744 parallel compression system with expansion work recovery through Multi Ejector SolutionTM, providing: refrigeration, space heating and cooling, and hot water production as shown in Figure 1. The space cooling and heating are by two direct CO2 rooftop air handling units. Three compression groups were installed in the pilot. Three compressors for medium temperature level (MT comp), three compressors at Low-Temperature level (LT comp), and four units are dedicated for Air-Conditioning (AC comp) total installed electrical power for compressors and fans is 177 kW (Excluding air handling fans). A paper, based on this dataset, 'Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' was published at a conference (Compressors Conferences).","Subject":"Engineering","Keywords":"Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration"},{"pid":"doi:10.18710/KNUO9U","Title":"Roskrepp field measurements 19.09.2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Roskrepp field measurements 19.09.2017' Description:'Pressure measurements in Roskrepp hydropower plant at different operating points.The data about the generated power and generator parameters are provided by the power plant operator. Data about the water levels in the upper and lower reservoir presented in Water level at Oyarvatn.csv and Water level at Roskreppfjorden.csv, respectively are collected at 1h intervals. The pressure measurements are measured in the turbine inlet pipe and in the draft tube using pressure transducers with characteristics presented in the metadata. The guide vane opening is measured as stroke using position sensors installed on the guide vane moving mechanism. The rotation is determined using a tachometer directly on the turbine shaft.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {hydropower; mass oscillations; pressure measurements; water hammer+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Roskrepp field measurements 19.09.2017' Description:'Pressure measurements in Roskrepp hydropower plant at different operating points.The data about the generated power and generator parameters are provided by the power plant operator. Data about the water levels in the upper and lower reservoir presented in Water level at Oyarvatn.csv and Water level at Roskreppfjorden.csv, respectively are collected at 1h intervals. The pressure measurements are measured in the turbine inlet pipe and in the draft tube using pressure transducers with characteristics presented in the metadata. The guide vane opening is measured as stroke using position sensors installed on the guide vane moving mechanism. The rotation is determined using a tachometer directly on the turbine shaft.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Pressure measurements in Roskrepp hydropower plant at different operating points.The data about the generated power and generator parameters are provided by the power plant operator. Data about the water levels in the upper and lower reservoir presented in Water level at Oyarvatn.csv and Water level at Roskreppfjorden.csv, respectively are collected at 1h intervals. The pressure measurements are measured in the turbine inlet pipe and in the draft tube using pressure transducers with characteristics presented in the metadata. The guide vane opening is measured as stroke using position sensors installed on the guide vane moving mechanism. The rotation is determined using a tachometer directly on the turbine shaft.","Subject":"Engineering","Keywords":"hydropower; mass oscillations; pressure measurements; water hammer"},{"pid":"doi:10.18710/KUWENG","Title":"Replication Data for: The MultiPACK project: installation and monitoring of integrated heat pump systems for high energy consumption buildings.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The MultiPACK project: installation and monitoring of integrated heat pump systems for high energy consumption buildings.' Description:'his dataset includes the data for two heat pump systems installed in the hotels in Italy within the project MultiPACK. The heat pump is installed in a hotel located in a tourist area in North Italy. It is intended to provide heating, cooling and hot water to a hotel, which is open nearly all over the year.The unit can benefit from groundwater as the heat source or heat sink. The heat pump features a two-phase multi ejector as an expansion device, able to utilise expansion work. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Carbon Dioxide; Domestic hot water; Energy Efficiency; Heat Recovery; Italy; Refrigeration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The MultiPACK project: installation and monitoring of integrated heat pump systems for high energy consumption buildings.' Description:'his dataset includes the data for two heat pump systems installed in the hotels in Italy within the project MultiPACK. The heat pump is installed in a hotel located in a tourist area in North Italy. It is intended to provide heating, cooling and hot water to a hotel, which is open nearly all over the year.The unit can benefit from groundwater as the heat source or heat sink. The heat pump features a two-phase multi ejector as an expansion device, able to utilise expansion work. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"his dataset includes the data for two heat pump systems installed in the hotels in Italy within the project MultiPACK. The heat pump is installed in a hotel located in a tourist area in North Italy. It is intended to provide heating, cooling and hot water to a hotel, which is open nearly all over the year.The unit can benefit from groundwater as the heat source or heat sink. The heat pump features a two-phase multi ejector as an expansion device, able to utilise expansion work. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven.","Subject":"Engineering","Keywords":"Carbon Dioxide; Domestic hot water; Energy Efficiency; Heat Recovery; Italy; Refrigeration"},{"pid":"doi:10.18710/L41IGQ","Title":"UAV Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'UAV Database' Description:'This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {drone; RPAS; UAS; UAV; unmanned aerial system; unmanned aerial vehicle+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'UAV Database' Description:'This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type","Subject":"Engineering","Keywords":"drone; RPAS; UAS; UAV; unmanned aerial system; unmanned aerial vehicle"},{"pid":"doi:10.18738/T8/SGWSNZ","Title":"RV Mechanical Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'RV Mechanical Data' Description:'Mechanical testing data for the RV.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {mechanics, histology, right ventricle+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'RV Mechanical Data' Description:'Mechanical testing data for the RV.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mechanical testing data for the RV.","Subject":"Engineering","Keywords":"mechanics, histology, right ventricle"},{"pid":"doi:10.18710/NZJOIS","Title":"UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.","Subject":" Engineering","Keywords":"Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement"},{"pid":"doi:10.18710/OCMXVP","Title":"Replication Data for: Perception by Palpation: Development and Testing of a Haptic Ferrogranular Jamming Surface","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Perception by Palpation: Development and Testing of a Haptic Ferrogranular Jamming Surface' Description:'Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ferromagnetic Granule; Granular Jamming; Haptic Interface; Palpation; Simulation; Tactile Perception; Tactile Surface+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Perception by Palpation: Development and Testing of a Haptic Ferrogranular Jamming Surface' Description:'Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.","Subject":"Engineering","Keywords":"Ferromagnetic Granule; Granular Jamming; Haptic Interface; Palpation; Simulation; Tactile Perception; Tactile Surface"},{"pid":"doi:10.18710/OOSLIF","Title":"Replication Data for: MultiPACK Project_Field assessment of the performance of a state-of-the-art CO2 integrated system for supermarket with distributed HVAC terminals in the shopping area","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_Field assessment of the performance of a state-of-the-art CO2 integrated system for supermarket with distributed HVAC terminals in the shopping area' Description:'This dataset includes the field data from the unit installed in a supermarket in Italy. There are sensors in the system to make necessary measurements. The measured data is collected, stored and then converted into usable data. The system layout includes all the characteristics of a MultiPACK unit, i.e. integration of all functions, refrigeration, space heating and cooling and hot water production, in the same appliance, while adopting the state-of-the-art technology for CO2 refrigeration, i.e. parallel compression, ejectors for expansion work recovery, minimized superheat for evaporators with suction pressure receiver and liquid ejectors for possible liquid recirculation.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Evaporators; Heat Recovery+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_Field assessment of the performance of a state-of-the-art CO2 integrated system for supermarket with distributed HVAC terminals in the shopping area' Description:'This dataset includes the field data from the unit installed in a supermarket in Italy. There are sensors in the system to make necessary measurements. The measured data is collected, stored and then converted into usable data. The system layout includes all the characteristics of a MultiPACK unit, i.e. integration of all functions, refrigeration, space heating and cooling and hot water production, in the same appliance, while adopting the state-of-the-art technology for CO2 refrigeration, i.e. parallel compression, ejectors for expansion work recovery, minimized superheat for evaporators with suction pressure receiver and liquid ejectors for possible liquid recirculation.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes the field data from the unit installed in a supermarket in Italy. There are sensors in the system to make necessary measurements. The measured data is collected, stored and then converted into usable data. The system layout includes all the characteristics of a MultiPACK unit, i.e. integration of all functions, refrigeration, space heating and cooling and hot water production, in the same appliance, while adopting the state-of-the-art technology for CO2 refrigeration, i.e. parallel compression, ejectors for expansion work recovery, minimized superheat for evaporators with suction pressure receiver and liquid ejectors for possible liquid recirculation.","Subject":"Engineering","Keywords":"Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Evaporators; Heat Recovery"},{"pid":"doi:10.18710/OWKABR","Title":"Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow' Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow' Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.","Subject":"Engineering","Keywords":"monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell"},{"pid":"doi:10.18710/PZQC4A","Title":"Dataset for Design Ideation Study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset for Design Ideation Study' Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Analogical reasoning; Design ideation; Eye tracking+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset for Design Ideation Study' Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' Subject:'Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ","Subject":"Engineering","Keywords":"Analogical reasoning; Design ideation; Eye tracking"},{"pid":"doi:10.18710/QAYI4O","Title":"Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class","Subject":" Engineering","Keywords":"Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar"},{"pid":"doi:10.18738/T8/SLYTC9","Title":"Panel Report on Veteran, Race, and Gender Bias in Tech Hiring","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Civilian transition; Technology support; Veterans+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:'Arts and Humanities; Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.","Subject":" Engineering","Keywords":"Civilian transition; Technology support; Veterans"},{"pid":"doi:10.18710/RVLSDM","Title":"Replication data for: MultiPACK Project_Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production' Description:'This dataset, in the context of the MultiPACK Project, describes the development of a CO2 air/water reversible heat pump, specifically investigating the domestic hot water (DHW) production operating mode. A dynamic model of the heat pump is developed with the software Simcenter Amesim. After validation against experimental data, the numerical model is utilized to predict the performance of the heat pump to varying hot water demand, evaporator air inlet conditions and high-pressure value, leading to the discussion of the optimal control strategy.A paper, based on this dataset, 'Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production (14th Gustav Lorentzen Conference, Kyoto, Japan, 6th- 9th December 2020, DOI:10.18462/iir.gl.2020.1160).' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Carbon Dioxide; COP; Domestic hot water; Energy Efficiency; Numerical model; Transcritical heat pump+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production' Description:'This dataset, in the context of the MultiPACK Project, describes the development of a CO2 air/water reversible heat pump, specifically investigating the domestic hot water (DHW) production operating mode. A dynamic model of the heat pump is developed with the software Simcenter Amesim. After validation against experimental data, the numerical model is utilized to predict the performance of the heat pump to varying hot water demand, evaporator air inlet conditions and high-pressure value, leading to the discussion of the optimal control strategy.A paper, based on this dataset, 'Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production (14th Gustav Lorentzen Conference, Kyoto, Japan, 6th- 9th December 2020, DOI:10.18462/iir.gl.2020.1160).' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset, in the context of the MultiPACK Project, describes the development of a CO2 air/water reversible heat pump, specifically investigating the domestic hot water (DHW) production operating mode. A dynamic model of the heat pump is developed with the software Simcenter Amesim. After validation against experimental data, the numerical model is utilized to predict the performance of the heat pump to varying hot water demand, evaporator air inlet conditions and high-pressure value, leading to the discussion of the optimal control strategy.A paper, based on this dataset, 'Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production (14th Gustav Lorentzen Conference, Kyoto, Japan, 6th- 9th December 2020, DOI:10.18462/iir.gl.2020.1160).","Subject":"Engineering","Keywords":"Carbon Dioxide; COP; Domestic hot water; Energy Efficiency; Numerical model; Transcritical heat pump"},{"pid":"doi:10.18710/T5OHPR","Title":"Replication Data for: MultiPACK Project_Field data of CO2 integrated refrigeration, heating and cooling systems for supermarkets.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_Field data of CO2 integrated refrigeration, heating and cooling systems for supermarkets.' Description:'This dataset includes the data for two systems installed in the supermarkets in Italy within the project MultiPACK. The units are located in the cities of Rome and Trento and are called: Rome unit and Trento-Maccani unit. Daily operations are shown in typical winter, mid-season and summer operations, while one-year energy results are disclosed.The EU H2020 project MultiPACK has given the opportunity of installing three state-of-the-art CO2 systems for supermarkets in South Europe, able to supply all the required thermal energy needs of the site, i.e. refrigeration, heating, cooling and hot water production. The MultiPACK units include parallel compression, ejectors for expansion work recovery and liquid recirculation and evaporator overfeeding, together with full monitoring of operation and performances. After more than one year of operations, field data of two supermarkets installed in Italy are presented and operating conditions and performance are illustrated; KPI indicators are evaluated to prepare for comparison with traditional solutions. A maximum monthly average COP of 4.2 was measured in central Italy in March 2020. The average specific energy consumption, due to Refrigeration, AC and heating, referred to the shopping area, was found to be 111 and 146 kWh m-2year-1 for the two sites.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_Field data of CO2 integrated refrigeration, heating and cooling systems for supermarkets.' Description:'This dataset includes the data for two systems installed in the supermarkets in Italy within the project MultiPACK. The units are located in the cities of Rome and Trento and are called: Rome unit and Trento-Maccani unit. Daily operations are shown in typical winter, mid-season and summer operations, while one-year energy results are disclosed.The EU H2020 project MultiPACK has given the opportunity of installing three state-of-the-art CO2 systems for supermarkets in South Europe, able to supply all the required thermal energy needs of the site, i.e. refrigeration, heating, cooling and hot water production. The MultiPACK units include parallel compression, ejectors for expansion work recovery and liquid recirculation and evaporator overfeeding, together with full monitoring of operation and performances. After more than one year of operations, field data of two supermarkets installed in Italy are presented and operating conditions and performance are illustrated; KPI indicators are evaluated to prepare for comparison with traditional solutions. A maximum monthly average COP of 4.2 was measured in central Italy in March 2020. The average specific energy consumption, due to Refrigeration, AC and heating, referred to the shopping area, was found to be 111 and 146 kWh m-2year-1 for the two sites.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes the data for two systems installed in the supermarkets in Italy within the project MultiPACK. The units are located in the cities of Rome and Trento and are called: Rome unit and Trento-Maccani unit. Daily operations are shown in typical winter, mid-season and summer operations, while one-year energy results are disclosed.The EU H2020 project MultiPACK has given the opportunity of installing three state-of-the-art CO2 systems for supermarkets in South Europe, able to supply all the required thermal energy needs of the site, i.e. refrigeration, heating, cooling and hot water production. The MultiPACK units include parallel compression, ejectors for expansion work recovery and liquid recirculation and evaporator overfeeding, together with full monitoring of operation and performances. After more than one year of operations, field data of two supermarkets installed in Italy are presented and operating conditions and performance are illustrated; KPI indicators are evaluated to prepare for comparison with traditional solutions. A maximum monthly average COP of 4.2 was measured in central Italy in March 2020. The average specific energy consumption, due to Refrigeration, AC and heating, referred to the shopping area, was found to be 111 and 146 kWh m-2year-1 for the two sites.","Subject":"Engineering","Keywords":"Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery"},{"pid":"doi:10.18710/TKS7SI","Title":"Experimental data for force reconstruction using impact hammer and deflectometry","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Experimental data for force reconstruction using impact hammer and deflectometry' Description:'This dataset contains experimental data acquired during a hammer impact onto a 300 mm x 300 mm x 5 mm steel plate. The dataset contains images captured by a high-speed camera suitable for deflectometry, allowing for slope measurements for the purpose of reconstruction of the force applied to the plate.The force applied from the impact hammer onto the steel plate was measured by a calibrated load cell on the tip of the impact hammer.The dataset is intended for load reconstruction using the virtual fields method.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Deflectometry; Experimental mechanics; Load reconstruction; Virtual Fields Method+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Experimental data for force reconstruction using impact hammer and deflectometry' Description:'This dataset contains experimental data acquired during a hammer impact onto a 300 mm x 300 mm x 5 mm steel plate. The dataset contains images captured by a high-speed camera suitable for deflectometry, allowing for slope measurements for the purpose of reconstruction of the force applied to the plate.The force applied from the impact hammer onto the steel plate was measured by a calibrated load cell on the tip of the impact hammer.The dataset is intended for load reconstruction using the virtual fields method.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains experimental data acquired during a hammer impact onto a 300 mm x 300 mm x 5 mm steel plate. The dataset contains images captured by a high-speed camera suitable for deflectometry, allowing for slope measurements for the purpose of reconstruction of the force applied to the plate.The force applied from the impact hammer onto the steel plate was measured by a calibrated load cell on the tip of the impact hammer.The dataset is intended for load reconstruction using the virtual fields method.","Subject":"Engineering","Keywords":"Deflectometry; Experimental mechanics; Load reconstruction; Virtual Fields Method"},{"pid":"doi:10.18710/UNIYBZ","Title":"Replication Data for: MultiPACK Project: Field data of integrated CO2 heat pump systems for Italian hotels in the MultiPACK project","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project: Field data of integrated CO2 heat pump systems for Italian hotels in the MultiPACK project' Description:'The EU project MultiPACK supports the design, construction, installation and monitoring of reversible heat pump units using CO2 as the refrigerant, providing air conditioning, heating and domestic hot water. The design includes the use of two-phase ejectors and natural circulation evaporators to improve efficiency and can use both external air and water as heat source/sink.Two units were installed in Italian hotels to provide full energy services in a water/water configuration, or to provide cooling and domestic hot water in an air/water lay-out.After an extensive test campaign, data from the field is collected. This dataset includes necessary field data.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project: Field data of integrated CO2 heat pump systems for Italian hotels in the MultiPACK project' Description:'The EU project MultiPACK supports the design, construction, installation and monitoring of reversible heat pump units using CO2 as the refrigerant, providing air conditioning, heating and domestic hot water. The design includes the use of two-phase ejectors and natural circulation evaporators to improve efficiency and can use both external air and water as heat source/sink.Two units were installed in Italian hotels to provide full energy services in a water/water configuration, or to provide cooling and domestic hot water in an air/water lay-out.After an extensive test campaign, data from the field is collected. This dataset includes necessary field data.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The EU project MultiPACK supports the design, construction, installation and monitoring of reversible heat pump units using CO2 as the refrigerant, providing air conditioning, heating and domestic hot water. The design includes the use of two-phase ejectors and natural circulation evaporators to improve efficiency and can use both external air and water as heat source/sink.Two units were installed in Italian hotels to provide full energy services in a water/water configuration, or to provide cooling and domestic hot water in an air/water lay-out.After an extensive test campaign, data from the field is collected. This dataset includes necessary field data.","Subject":"Engineering","Keywords":"Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery"},{"pid":"doi:10.18710/USMPRX","Title":"Replication Data for: MultiPACK Project_The MultiPACK project: installation and monitoring of integrated commercial refrigeration systems in South Europe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_The MultiPACK project: installation and monitoring of integrated commercial refrigeration systems in South Europe' Description:'This dataset includes the data for two transcritical CO2 refrigeration systems installed in Italy and Portugal within the project MultiPACK. The real performance of the units providing refrigeration and space air condition is measured.the data was collected from two different sites/units:The unit in Central ItalyThe unit is based on a booster concept with parallel compression and expansion work recovery by means of ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for each suction pressure level. For each suction group, one out of the three compressors is inverter-driven to allow a smoother capacity modulation. The unit delivers the heating demand and the cooling loads of the supermarket by means of an Air Handling Unit AHU. The CO2 directly flows through the heating and cooling coils of the AHU. The unit in PortugalThe MultiPACK system is based on a booster concept with parallel compression and expansion work recovery by ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for both MT and LT suction groups and four compressors for the Auxiliary compression suction group. For each suction group, one compressor is inverter-driven to allow a smoother capacity modulation. The unit also delivers the entire heating and cooling loads of the supermarket by means of two air handling units AHU.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Europe; Evaporators; Heat Recovery+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_The MultiPACK project: installation and monitoring of integrated commercial refrigeration systems in South Europe' Description:'This dataset includes the data for two transcritical CO2 refrigeration systems installed in Italy and Portugal within the project MultiPACK. The real performance of the units providing refrigeration and space air condition is measured.the data was collected from two different sites/units:The unit in Central ItalyThe unit is based on a booster concept with parallel compression and expansion work recovery by means of ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for each suction pressure level. For each suction group, one out of the three compressors is inverter-driven to allow a smoother capacity modulation. The unit delivers the heating demand and the cooling loads of the supermarket by means of an Air Handling Unit AHU. The CO2 directly flows through the heating and cooling coils of the AHU. The unit in PortugalThe MultiPACK system is based on a booster concept with parallel compression and expansion work recovery by ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for both MT and LT suction groups and four compressors for the Auxiliary compression suction group. For each suction group, one compressor is inverter-driven to allow a smoother capacity modulation. The unit also delivers the entire heating and cooling loads of the supermarket by means of two air handling units AHU.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes the data for two transcritical CO2 refrigeration systems installed in Italy and Portugal within the project MultiPACK. The real performance of the units providing refrigeration and space air condition is measured.the data was collected from two different sites/units:The unit in Central ItalyThe unit is based on a booster concept with parallel compression and expansion work recovery by means of ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for each suction pressure level. For each suction group, one out of the three compressors is inverter-driven to allow a smoother capacity modulation. The unit delivers the heating demand and the cooling loads of the supermarket by means of an Air Handling Unit AHU. The CO2 directly flows through the heating and cooling coils of the AHU. The unit in PortugalThe MultiPACK system is based on a booster concept with parallel compression and expansion work recovery by ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for both MT and LT suction groups and four compressors for the Auxiliary compression suction group. For each suction group, one compressor is inverter-driven to allow a smoother capacity modulation. The unit also delivers the entire heating and cooling loads of the supermarket by means of two air handling units AHU.","Subject":"Engineering","Keywords":"Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Europe; Evaporators; Heat Recovery"},{"pid":"doi:10.18710/VIJXTL","Title":"Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Calibration; Point cloud; Registration; RGB-D; Vision+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.","Subject":" Engineering","Keywords":"Calibration; Point cloud; Registration; RGB-D; Vision"},{"pid":"doi:10.18710/WNKSVX","Title":"Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables' Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables' Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway","Subject":" Engineering","Keywords":"bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro"},{"pid":"doi:10.18710/Z33Q8X","Title":"Replication data for:MultiPACK Project: Two years of data monitoring of all-CO2 retail stores within the MultiPACK project","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for:MultiPACK Project: Two years of data monitoring of all-CO2 retail stores within the MultiPACK project' Description:'This dataset includes the data for two different integrated units installed in typical Italian neighbourhood supermarkets are considered. The two supermarkets are respectively located in the north-east area of Italy (Trento, Figure 1a), characterized by a relatively mild climate during summer and an harsh winter, and in the central area of Italy (Rome, Figure 1b) which is characterized by warmer winter and hot summer instead. This difference in the type of climates where the installations are located, gives the opportunity to analyse and compare the performance of the MultiPACK CO2 integrated units at different external environment conditions. According to EN ISO 13926-6:2008, the Heating Degree Days of Rome and Trento are equal to 1415 and 3001 days respectively. As for the external ambient conditions (dry bulb temperature and relative humidity), they are taken from an official meteo station close to the supermarkets (http://storico.meteotrentino.it for Trento and http://meteoeplus.pd.cnr.it/stations/summary-rm01e.php for Rome)' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Carbon Dioxide; Commercial Refrigeration; Ejector; energy efficient; Heat pump; Integrated unit+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for:MultiPACK Project: Two years of data monitoring of all-CO2 retail stores within the MultiPACK project' Description:'This dataset includes the data for two different integrated units installed in typical Italian neighbourhood supermarkets are considered. The two supermarkets are respectively located in the north-east area of Italy (Trento, Figure 1a), characterized by a relatively mild climate during summer and an harsh winter, and in the central area of Italy (Rome, Figure 1b) which is characterized by warmer winter and hot summer instead. This difference in the type of climates where the installations are located, gives the opportunity to analyse and compare the performance of the MultiPACK CO2 integrated units at different external environment conditions. According to EN ISO 13926-6:2008, the Heating Degree Days of Rome and Trento are equal to 1415 and 3001 days respectively. As for the external ambient conditions (dry bulb temperature and relative humidity), they are taken from an official meteo station close to the supermarkets (http://storico.meteotrentino.it for Trento and http://meteoeplus.pd.cnr.it/stations/summary-rm01e.php for Rome)' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes the data for two different integrated units installed in typical Italian neighbourhood supermarkets are considered. The two supermarkets are respectively located in the north-east area of Italy (Trento, Figure 1a), characterized by a relatively mild climate during summer and an harsh winter, and in the central area of Italy (Rome, Figure 1b) which is characterized by warmer winter and hot summer instead. This difference in the type of climates where the installations are located, gives the opportunity to analyse and compare the performance of the MultiPACK CO2 integrated units at different external environment conditions. According to EN ISO 13926-6:2008, the Heating Degree Days of Rome and Trento are equal to 1415 and 3001 days respectively. As for the external ambient conditions (dry bulb temperature and relative humidity), they are taken from an official meteo station close to the supermarkets (http://storico.meteotrentino.it for Trento and http://meteoeplus.pd.cnr.it/stations/summary-rm01e.php for Rome)","Subject":"Engineering","Keywords":"Carbon Dioxide; Commercial Refrigeration; Ejector; energy efficient; Heat pump; Integrated unit"},{"pid":"doi:10.18710/ZOJHGJ","Title":"Replication Data for: Vortex imprints on a free surface as proxy for surface divergence","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Free-Surface; Turbulence; Vortex; Wavelet Analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.","Subject":" Engineering","Keywords":"Free-Surface; Turbulence; Vortex; Wavelet Analysis"},{"pid":"doi:10.18738/T8/1XMHZD","Title":"Ideal Baseband HE-SU 802.11 ax Downlink WiFi Signals with 20 MHz Bandwidth","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ideal Baseband HE-SU 802.11 ax Downlink WiFi Signals with 20 MHz Bandwidth' Description:'This dataset consists IQ samples of ideal, single-user (HE-SU), 20 MHz bandwidth, downlink 802.11ax WiFi signals. The signals are generated using the WLAN toolbox in MATLAB (version R2021b). The sampling rate used for data generation is 20 MHz. The payload consists of random bits and each signal (data file) consists of five packets with no idle time between each packet. The IQ samples from each signal are stored as complex column vector in file WLAN802-11ax_data_#, where # is an integer used to index the file name. The corresponding file WLAN802-11ax_parameters_# consists of the unique configuration parameters used to generate the data file. If multiple transmit antennas (multiple data streams) are present, then each data stream is entered as a column vector in the data file. Details on the configuration settings are listed in the Readme available with this dataset.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Microwave receivers; Training data; WiFi 802.11 ax; Wireless signals+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ideal Baseband HE-SU 802.11 ax Downlink WiFi Signals with 20 MHz Bandwidth' Description:'This dataset consists IQ samples of ideal, single-user (HE-SU), 20 MHz bandwidth, downlink 802.11ax WiFi signals. The signals are generated using the WLAN toolbox in MATLAB (version R2021b). The sampling rate used for data generation is 20 MHz. The payload consists of random bits and each signal (data file) consists of five packets with no idle time between each packet. The IQ samples from each signal are stored as complex column vector in file WLAN802-11ax_data_#, where # is an integer used to index the file name. The corresponding file WLAN802-11ax_parameters_# consists of the unique configuration parameters used to generate the data file. If multiple transmit antennas (multiple data streams) are present, then each data stream is entered as a column vector in the data file. Details on the configuration settings are listed in the Readme available with this dataset.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset consists IQ samples of ideal, single-user (HE-SU), 20 MHz bandwidth, downlink 802.11ax WiFi signals. The signals are generated using the WLAN toolbox in MATLAB (version R2021b). The sampling rate used for data generation is 20 MHz. The payload consists of random bits and each signal (data file) consists of five packets with no idle time between each packet. The IQ samples from each signal are stored as complex column vector in file WLAN802-11ax_data_#, where # is an integer used to index the file name. The corresponding file WLAN802-11ax_parameters_# consists of the unique configuration parameters used to generate the data file. If multiple transmit antennas (multiple data streams) are present, then each data stream is entered as a column vector in the data file. Details on the configuration settings are listed in the Readme available with this dataset.","Subject":"Engineering","Keywords":"Microwave receivers; Training data; WiFi 802.11 ax; Wireless signals"},{"pid":"doi:10.18738/T8/3FCFBX","Title":"mineral_low_ca_connected_M3","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'mineral_low_ca_connected_M3' Description:'Fluid displaced: mineral oilCapillary number: lowFracture status: connected, M3' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'mineral_low_ca_connected_M3' Description:'Fluid displaced: mineral oilCapillary number: lowFracture status: connected, M3' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid displaced: mineral oilCapillary number: lowFracture status: connected, M3","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/3MLRLO","Title":"Barnett Shale in Texas: Promise and Problems","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Barnett Shale in Texas: Promise and Problems' Description:'Estimates of Production from Barnett Shale by Tadeusz Patzek' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Shale gas production; Barnett Shale+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Barnett Shale in Texas: Promise and Problems' Description:'Estimates of Production from Barnett Shale by Tadeusz Patzek' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Estimates of Production from Barnett Shale by Tadeusz Patzek","Subject":"Engineering","Keywords":"Shale gas production; Barnett Shale"},{"pid":"doi:10.18738/T8/3RJNCI","Title":"Description of the dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Description of the dataset' Description:'Description of all files in the dataset.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {mechanics, histology, right ventricle+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Description of the dataset' Description:'Description of all files in the dataset.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Description of all files in the dataset.","Subject":"Engineering","Keywords":"mechanics, histology, right ventricle"},{"pid":"doi:10.18738/T8/5GJ6ST","Title":"PipeAC code and supporting data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'PipeAC code and supporting data' Description:'PipeAC code and supporting data for PipeAC model for the manuscript 'An artificial compressibility method for 1D simulation of open-channel and pressurized-pipe flow'.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {numerical model+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'PipeAC code and supporting data' Description:'PipeAC code and supporting data for PipeAC model for the manuscript 'An artificial compressibility method for 1D simulation of open-channel and pressurized-pipe flow'.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"PipeAC code and supporting data for PipeAC model for the manuscript 'An artificial compressibility method for 1D simulation of open-channel and pressurized-pipe flow'.","Subject":"Engineering","Keywords":"numerical model"},{"pid":"doi:10.18738/T8/6JSNPF","Title":"crude_low_ca_deadend_M2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'crude_low_ca_deadend_M2' Description:'Fluid in place: crude oilCapillary number: lowFracture status: disconnected' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'crude_low_ca_deadend_M2' Description:'Fluid in place: crude oilCapillary number: lowFracture status: disconnected' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid in place: crude oilCapillary number: lowFracture status: disconnected","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/700QAK","Title":"Chemjac 1.0","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Chemjac 1.0' Description:'Version 1.0 of the Chemjac software' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Software+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Chemjac 1.0' Description:'Version 1.0 of the Chemjac software' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Version 1.0 of the Chemjac software","Subject":" Engineering","Keywords":"Software"},{"pid":"doi:10.18738/T8/74EAGP","Title":"Complete results for Agricultural automation study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Complete results for Agricultural automation study' Description:'The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural Automation, Robotic Machine Scheduling, Mixed Integer Programming, Multitasking, Multiskilling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Complete results for Agricultural automation study' Description:'The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'' Subject:'Agricultural Sciences; Business and Management; Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'","Subject":" Engineering","Keywords":"Agricultural Automation, Robotic Machine Scheduling, Mixed Integer Programming, Multitasking, Multiskilling"},{"pid":"doi:10.18738/T8/8ROEDT","Title":"Replication Data for Figures 3 through 7","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Figures 3 through 7' Description:'The enclosed data can be used to plot the results in Figures 3through 7 from the article 'On the far-zone electromagnetic fieldof a vertical Hertzian dipole over an imperfectly conductinghalf-space with extensions to plasmonics' by Krzysztof A. Michalskiand Hung-I Lin, to be published in Radio Science, 2017.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Hertzian dipole+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Figures 3 through 7' Description:'The enclosed data can be used to plot the results in Figures 3through 7 from the article 'On the far-zone electromagnetic fieldof a vertical Hertzian dipole over an imperfectly conductinghalf-space with extensions to plasmonics' by Krzysztof A. Michalskiand Hung-I Lin, to be published in Radio Science, 2017.' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The enclosed data can be used to plot the results in Figures 3through 7 from the article 'On the far-zone electromagnetic fieldof a vertical Hertzian dipole over an imperfectly conductinghalf-space with extensions to plasmonics' by Krzysztof A. Michalskiand Hung-I Lin, to be published in Radio Science, 2017.","Subject":"Engineering","Keywords":"Hertzian dipole"},{"pid":"doi:10.18738/T8/90X6VM","Title":"Replication Data for: Thermal conductivity of binary sand mixtures evaluated through full water content range","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Thermal conductivity of binary sand mixtures evaluated through full water content range' Description:'Replication Data for: Thermal conductivity of binary sand mixtures evaluated through full water content range' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Thermal Conductivity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Thermal conductivity of binary sand mixtures evaluated through full water content range' Description:'Replication Data for: Thermal conductivity of binary sand mixtures evaluated through full water content range' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for: Thermal conductivity of binary sand mixtures evaluated through full water content range","Subject":" Engineering","Keywords":"Thermal Conductivity"},{"pid":"doi:10.18738/T8/920BS9","Title":"TSP with flexible coloring","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TSP with flexible coloring' Description:'Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {TSP+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TSP with flexible coloring' Description:'Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing' Subject:'Business and Management; Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing","Subject":" Engineering","Keywords":"TSP"},{"pid":"doi:10.18738/T8/95ITIK","Title":"CSR RL05 GRACE Daily Swath Mass Anomaly Estimates over the Ocean","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CSR RL05 GRACE Daily Swath Mass Anomaly Estimates over the Ocean' Description:'CSR GRACE Daily Swath Mass Anomaly Estimates over the Ocean' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {GRACE, Mascons, Geodesy, Time Variable Gravity, Global Mass Change, Spherical Harmonics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CSR RL05 GRACE Daily Swath Mass Anomaly Estimates over the Ocean' Description:'CSR GRACE Daily Swath Mass Anomaly Estimates over the Ocean' Subject:'Earth and Environmental Sciences; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"CSR GRACE Daily Swath Mass Anomaly Estimates over the Ocean","Subject":" Engineering","Keywords":"GRACE, Mascons, Geodesy, Time Variable Gravity, Global Mass Change, Spherical Harmonics"},{"pid":"doi:10.18738/T8/A4JFTJ","Title":"Replication Data for Enhanced X-Ray Visibility of Shape Memory Polymer Foam Using Iodine Motifs and Tantalum Microparticles","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Enhanced X-Ray Visibility of Shape Memory Polymer Foam Using Iodine Motifs and Tantalum Microparticles' Description:'Data for publication Citation: Jang, L.K.; Nash, L.D.; Fletcher, G.K.; Cheung, T.; Soewito, A.; Maitland, D.J. Enhanced X-ray Visi-bility of Shape Memory Polymer Foam Using Iodine Motifs and Tantalum Microparticles. J. Compos. Sci. 2021, 5, x. https://doi.org/10.3390/xxxxx' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {shape memory polymer+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Enhanced X-Ray Visibility of Shape Memory Polymer Foam Using Iodine Motifs and Tantalum Microparticles' Description:'Data for publication Citation: Jang, L.K.; Nash, L.D.; Fletcher, G.K.; Cheung, T.; Soewito, A.; Maitland, D.J. Enhanced X-ray Visi-bility of Shape Memory Polymer Foam Using Iodine Motifs and Tantalum Microparticles. J. Compos. Sci. 2021, 5, x. https://doi.org/10.3390/xxxxx' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data for publication Citation: Jang, L.K.; Nash, L.D.; Fletcher, G.K.; Cheung, T.; Soewito, A.; Maitland, D.J. Enhanced X-ray Visi-bility of Shape Memory Polymer Foam Using Iodine Motifs and Tantalum Microparticles. J. Compos. Sci. 2021, 5, x. https://doi.org/10.3390/xxxxx","Subject":"Engineering","Keywords":"shape memory polymer"},{"pid":"doi:10.18738/T8/AVDBOJ","Title":"Sentinel-1 InSAR Surface Deformation Data over the Permian Basin","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sentinel-1 InSAR Surface Deformation Data over the Permian Basin' Description:'This Sentinel-1 InSAR dataset contains surface deformation that occurred between Nov. 2014 and Jan. 2019 associated with the Permian Basin oil and gas production. For further details of the processing method and uncertainty analysis, please see the associated paper of Staniewicz et al., 2020. Note: click the 'tree' viewing option to see proper organizational layout of files, not the 'table' layout.When using this data for research, please cite:Staniewicz, S., Chen, J., Lee, H., Olson, J., Savvaidis, A., Reedy, R., et al. (2020). InSAR reveals complex surface deformation patterns over an 80,000 square kilometer oil-producing region in the Permian Basin. Geophysical Research Letters, 47, e2020GL090151.Details of generation and data attributesTwo paths of Sentinel 1 data were used in the analysis: the ascending path 78 and the descending path 85. For each path, the cumulative radar line-of-sight (LOS) deformation between (1) Nov. 2014 and Jan. 2017; (2) Nov. 2014 and Jan. 2018; and (3) Nov. 2014 and Jan. 2019 are included. Here the pixel spacing for all InSAR grids is 120 meters. All deformation data units are in centimeters. Each of the maps' cumulative results have an uncertainty of ~ 1 cm or less. All the maps using ascending (or descending) Sentinel data are coregistered the same latitude/longitude grid as the digital elevation model (DEM) covering the ascending (or descending) path.Note: We used the SRTM DEM data to generate the interferograms. These DEM data can be found in geotiffs/ascending_path78/dem.tif and geotiffs/descending_path85/dem.tif.The units of the DEMs are in meters.For each path, we provided the names and locations of the GPS stations with continuous coverage between Nov. 2014 and Jan. 2019 as CSV files. The GPS east, north, and vertical daily time series are available through the Nevada Geodetic Laboratory (http://geodesy.unr.edu/ ). For this example, the NMHB station's NA plate-fixed solutions are available at http://geodesy.unr.edu/NGLStationPages/stations/NMHB.sta The file geotiffs/ascending_path78/gps_locations.csv contains the name, latitude, and longitude of the stations within the ascending path, as well as the row and column of that location within the ascending latitude/longitude grid. The GPS stations TXKM was used as the spatial reference point to calibrate all LOS InSAR maps, the rest of GPS stations were used as independent validations for the InSAR results.In addition to providing the data in GeoTIFF format, we have also loaded the data into MATLAB provded .mat files (located in the matlab_version/ folder). We have divided the .mat files into data coregistered on the ascending grid, the descending grid, and the vertical/east deformation solutions in the region where the ascending and descending paths overlap.The definition of the radar LOS directionWe note that InSAR measures surface deformation along the radar LOS direction. In the region where the ascending and descending paths overlap, we decomposed the the two LOS deformation solutions (Nov. 2014 to Jan. 2019) using the ascending and descending LOS maps (unitless, as in geotiffs/ascending_path78/los_enu.tif and geotiffs/descending_path85/los_enu.tif) into their horizontal and vertical components. These vertical/horizontal solutions are contained in geotiffs/vertical_horizontal_decomposition/.Further details of the LOS decomposition can be found in the associated paper and supplement of Staniewicz et al., 2020.Converting GPS ENU data to the radar LOS Here we show an example of how you would convert GPS east, north, up (ENU) time series data into measurements comparable to the ascending LOS InSAR measurements using the LOS unit vector coefficients. We use station NMHB as an example, whose metadata is contained in the geotiffs/ascending_path78/gps_locations.csv file. The LOS vector coefficients are in the geotiffs/ascending_path78/los_enu.tif image (or path78_data.mat), which is a 3 band GeoTIFF containing the look vector coefficients. To extract the 3 LOS coefficients from the matrix los_enu we could do the following in MATLAB:load path78_data.matr = gps_locations.row(1);c = gps_locations.col(1);enu_coeffs = los_enu(r, c, :);alpha_east = enu_coeffs(1); alpha_north = enu_coeffs(2); alpha_up = enu_coeffs(3); Calling the east, north, up time series ts_east, ts_north, ts_up respectively, we can convert this to ts_LOS as follows:ts_LOS = alpha_east * ts_east + alpha_north * ts_north + alpha_up * ts_up' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Induced Seismicity; InSAR; Surface deformation; West Texas+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sentinel-1 InSAR Surface Deformation Data over the Permian Basin' Description:'This Sentinel-1 InSAR dataset contains surface deformation that occurred between Nov. 2014 and Jan. 2019 associated with the Permian Basin oil and gas production. For further details of the processing method and uncertainty analysis, please see the associated paper of Staniewicz et al., 2020. Note: click the 'tree' viewing option to see proper organizational layout of files, not the 'table' layout.When using this data for research, please cite:Staniewicz, S., Chen, J., Lee, H., Olson, J., Savvaidis, A., Reedy, R., et al. (2020). InSAR reveals complex surface deformation patterns over an 80,000 square kilometer oil-producing region in the Permian Basin. Geophysical Research Letters, 47, e2020GL090151.Details of generation and data attributesTwo paths of Sentinel 1 data were used in the analysis: the ascending path 78 and the descending path 85. For each path, the cumulative radar line-of-sight (LOS) deformation between (1) Nov. 2014 and Jan. 2017; (2) Nov. 2014 and Jan. 2018; and (3) Nov. 2014 and Jan. 2019 are included. Here the pixel spacing for all InSAR grids is 120 meters. All deformation data units are in centimeters. Each of the maps' cumulative results have an uncertainty of ~ 1 cm or less. All the maps using ascending (or descending) Sentinel data are coregistered the same latitude/longitude grid as the digital elevation model (DEM) covering the ascending (or descending) path.Note: We used the SRTM DEM data to generate the interferograms. These DEM data can be found in geotiffs/ascending_path78/dem.tif and geotiffs/descending_path85/dem.tif.The units of the DEMs are in meters.For each path, we provided the names and locations of the GPS stations with continuous coverage between Nov. 2014 and Jan. 2019 as CSV files. The GPS east, north, and vertical daily time series are available through the Nevada Geodetic Laboratory (http://geodesy.unr.edu/ ). For this example, the NMHB station's NA plate-fixed solutions are available at http://geodesy.unr.edu/NGLStationPages/stations/NMHB.sta The file geotiffs/ascending_path78/gps_locations.csv contains the name, latitude, and longitude of the stations within the ascending path, as well as the row and column of that location within the ascending latitude/longitude grid. The GPS stations TXKM was used as the spatial reference point to calibrate all LOS InSAR maps, the rest of GPS stations were used as independent validations for the InSAR results.In addition to providing the data in GeoTIFF format, we have also loaded the data into MATLAB provded .mat files (located in the matlab_version/ folder). We have divided the .mat files into data coregistered on the ascending grid, the descending grid, and the vertical/east deformation solutions in the region where the ascending and descending paths overlap.The definition of the radar LOS directionWe note that InSAR measures surface deformation along the radar LOS direction. In the region where the ascending and descending paths overlap, we decomposed the the two LOS deformation solutions (Nov. 2014 to Jan. 2019) using the ascending and descending LOS maps (unitless, as in geotiffs/ascending_path78/los_enu.tif and geotiffs/descending_path85/los_enu.tif) into their horizontal and vertical components. These vertical/horizontal solutions are contained in geotiffs/vertical_horizontal_decomposition/.Further details of the LOS decomposition can be found in the associated paper and supplement of Staniewicz et al., 2020.Converting GPS ENU data to the radar LOS Here we show an example of how you would convert GPS east, north, up (ENU) time series data into measurements comparable to the ascending LOS InSAR measurements using the LOS unit vector coefficients. We use station NMHB as an example, whose metadata is contained in the geotiffs/ascending_path78/gps_locations.csv file. The LOS vector coefficients are in the geotiffs/ascending_path78/los_enu.tif image (or path78_data.mat), which is a 3 band GeoTIFF containing the look vector coefficients. To extract the 3 LOS coefficients from the matrix los_enu we could do the following in MATLAB:load path78_data.matr = gps_locations.row(1);c = gps_locations.col(1);enu_coeffs = los_enu(r, c, :);alpha_east = enu_coeffs(1); alpha_north = enu_coeffs(2); alpha_up = enu_coeffs(3); Calling the east, north, up time series ts_east, ts_north, ts_up respectively, we can convert this to ts_LOS as follows:ts_LOS = alpha_east * ts_east + alpha_north * ts_north + alpha_up * ts_up' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This Sentinel-1 InSAR dataset contains surface deformation that occurred between Nov. 2014 and Jan. 2019 associated with the Permian Basin oil and gas production. For further details of the processing method and uncertainty analysis, please see the associated paper of Staniewicz et al., 2020. Note: click the 'tree' viewing option to see proper organizational layout of files, not the 'table' layout.When using this data for research, please cite:Staniewicz, S., Chen, J., Lee, H., Olson, J., Savvaidis, A., Reedy, R., et al. (2020). InSAR reveals complex surface deformation patterns over an 80,000 square kilometer oil-producing region in the Permian Basin. Geophysical Research Letters, 47, e2020GL090151.Details of generation and data attributesTwo paths of Sentinel 1 data were used in the analysis: the ascending path 78 and the descending path 85. For each path, the cumulative radar line-of-sight (LOS) deformation between (1) Nov. 2014 and Jan. 2017; (2) Nov. 2014 and Jan. 2018; and (3) Nov. 2014 and Jan. 2019 are included. Here the pixel spacing for all InSAR grids is 120 meters. All deformation data units are in centimeters. Each of the maps' cumulative results have an uncertainty of ~ 1 cm or less. All the maps using ascending (or descending) Sentinel data are coregistered the same latitude/longitude grid as the digital elevation model (DEM) covering the ascending (or descending) path.Note: We used the SRTM DEM data to generate the interferograms. These DEM data can be found in geotiffs/ascending_path78/dem.tif and geotiffs/descending_path85/dem.tif.The units of the DEMs are in meters.For each path, we provided the names and locations of the GPS stations with continuous coverage between Nov. 2014 and Jan. 2019 as CSV files. The GPS east, north, and vertical daily time series are available through the Nevada Geodetic Laboratory (http://geodesy.unr.edu/ ). For this example, the NMHB station's NA plate-fixed solutions are available at http://geodesy.unr.edu/NGLStationPages/stations/NMHB.sta The file geotiffs/ascending_path78/gps_locations.csv contains the name, latitude, and longitude of the stations within the ascending path, as well as the row and column of that location within the ascending latitude/longitude grid. The GPS stations TXKM was used as the spatial reference point to calibrate all LOS InSAR maps, the rest of GPS stations were used as independent validations for the InSAR results.In addition to providing the data in GeoTIFF format, we have also loaded the data into MATLAB provded .mat files (located in the matlab_version/ folder). We have divided the .mat files into data coregistered on the ascending grid, the descending grid, and the vertical/east deformation solutions in the region where the ascending and descending paths overlap.The definition of the radar LOS directionWe note that InSAR measures surface deformation along the radar LOS direction. In the region where the ascending and descending paths overlap, we decomposed the the two LOS deformation solutions (Nov. 2014 to Jan. 2019) using the ascending and descending LOS maps (unitless, as in geotiffs/ascending_path78/los_enu.tif and geotiffs/descending_path85/los_enu.tif) into their horizontal and vertical components. These vertical/horizontal solutions are contained in geotiffs/vertical_horizontal_decomposition/.Further details of the LOS decomposition can be found in the associated paper and supplement of Staniewicz et al., 2020.Converting GPS ENU data to the radar LOS Here we show an example of how you would convert GPS east, north, up (ENU) time series data into measurements comparable to the ascending LOS InSAR measurements using the LOS unit vector coefficients. We use station NMHB as an example, whose metadata is contained in the geotiffs/ascending_path78/gps_locations.csv file. The LOS vector coefficients are in the geotiffs/ascending_path78/los_enu.tif image (or path78_data.mat), which is a 3 band GeoTIFF containing the look vector coefficients. To extract the 3 LOS coefficients from the matrix los_enu we could do the following in MATLAB:load path78_data.matr = gps_locations.row(1);c = gps_locations.col(1);enu_coeffs = los_enu(r, c, :);alpha_east = enu_coeffs(1); alpha_north = enu_coeffs(2); alpha_up = enu_coeffs(3); Calling the east, north, up time series ts_east, ts_north, ts_up respectively, we can convert this to ts_LOS as follows:ts_LOS = alpha_east * ts_east + alpha_north * ts_north + alpha_up * ts_up","Subject":" Engineering","Keywords":"Induced Seismicity; InSAR; Surface deformation; West Texas"},{"pid":"doi:10.18738/T8/CCOAO2","Title":"mineral_low_ca_matrix_M1","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'mineral_low_ca_matrix_M1' Description:'Fluid displaced: mineral oilCapillary number: lowFracture status: none, M1' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'mineral_low_ca_matrix_M1' Description:'Fluid displaced: mineral oilCapillary number: lowFracture status: none, M1' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid displaced: mineral oilCapillary number: lowFracture status: none, M1","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/DFBE1M","Title":"Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning' Description:'Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered “unsuitable” due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Stabilized Organic Soils+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning' Description:'Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered “unsuitable” due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.' Subject:'Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered “unsuitable” due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.","Subject":" Engineering","Keywords":"Stabilized Organic Soils"},{"pid":"doi:10.18738/T8/DFIUPJ","Title":"Mahakali Watershed - SWAT simulated scenarios","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mahakali Watershed - SWAT simulated scenarios' Description:'Baseline scenario,Fully irrigated rice-wheat scenario,Rainfed rice-wheat scenario, andRice-vegetable- spring rice scenario year of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data) (2022-03-23)' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {SWAT Scenarios+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mahakali Watershed - SWAT simulated scenarios' Description:'Baseline scenario,Fully irrigated rice-wheat scenario,Rainfed rice-wheat scenario, andRice-vegetable- spring rice scenario year of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data) (2022-03-23)' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Baseline scenario,Fully irrigated rice-wheat scenario,Rainfed rice-wheat scenario, andRice-vegetable- spring rice scenario year of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data) (2022-03-23)","Subject":" Engineering","Keywords":"SWAT Scenarios"},{"pid":"doi:10.18738/T8/DH1UDZ","Title":"West Rapti Watershed - SWAT simulated scenarios","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'West Rapti Watershed - SWAT simulated scenarios' Description:'Baseline scenario,Fully irrigated rice-wheat scenario,Rainfed rice-wheat and rice-lentil scenario,Rice-irrigated maize scenario,Rice-wheat-mungbean scenario, andRice-horticultural crop scenario year of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data) (2022-03-23) (2022-03-23)' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {SWAT scenarios+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'West Rapti Watershed - SWAT simulated scenarios' Description:'Baseline scenario,Fully irrigated rice-wheat scenario,Rainfed rice-wheat and rice-lentil scenario,Rice-irrigated maize scenario,Rice-wheat-mungbean scenario, andRice-horticultural crop scenario year of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data) (2022-03-23) (2022-03-23)' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Baseline scenario,Fully irrigated rice-wheat scenario,Rainfed rice-wheat and rice-lentil scenario,Rice-irrigated maize scenario,Rice-wheat-mungbean scenario, andRice-horticultural crop scenario year of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data) (2022-03-23) (2022-03-23)","Subject":" Engineering","Keywords":"SWAT scenarios"},{"pid":"doi:10.18738/T8/E2ZPNB","Title":"mineral_medium_ca_deadend_M2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'mineral_medium_ca_deadend_M2' Description:'Fluid displaced: mineral oil Capillary number: medium Fracture status: unconnected' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'mineral_medium_ca_deadend_M2' Description:'Fluid displaced: mineral oil Capillary number: medium Fracture status: unconnected' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid displaced: mineral oil Capillary number: medium Fracture status: unconnected","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/ECKBMK","Title":"Replication Data for: 'Effect of Strain History and Mixture Proportions on Early Age Cement Paste and Mortar Stress Relaxation'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Effect of Strain History and Mixture Proportions on Early Age Cement Paste and Mortar Stress Relaxation'' Description:'This study focuses on measurements of the relaxation modulus of cement paste and mortars at early ages (1-28 days). The influence of sand particles, aging, and w/c ratio on the viscoelastic behavior were investigated. A sensitivity analysis is used to compare the relaxation modulus obtained approximating the strain state as constant versus one obtained considering the real strain history observed during testing;' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cement paste; Creep; Mortar; Stress relaxation; Viscoelasticity; Young's Modulus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Effect of Strain History and Mixture Proportions on Early Age Cement Paste and Mortar Stress Relaxation'' Description:'This study focuses on measurements of the relaxation modulus of cement paste and mortars at early ages (1-28 days). The influence of sand particles, aging, and w/c ratio on the viscoelastic behavior were investigated. A sensitivity analysis is used to compare the relaxation modulus obtained approximating the strain state as constant versus one obtained considering the real strain history observed during testing;' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study focuses on measurements of the relaxation modulus of cement paste and mortars at early ages (1-28 days). The influence of sand particles, aging, and w/c ratio on the viscoelastic behavior were investigated. A sensitivity analysis is used to compare the relaxation modulus obtained approximating the strain state as constant versus one obtained considering the real strain history observed during testing;","Subject":"Engineering","Keywords":"Cement paste; Creep; Mortar; Stress relaxation; Viscoelasticity; Young's Modulus"},{"pid":"doi:10.18738/T8/EEVLBU","Title":"crude_high_ca_matrix_M1","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'crude_high_ca_matrix_M1' Description:'Fluid in place: crude oilCapillary number: highFracture status: none, M1' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'crude_high_ca_matrix_M1' Description:'Fluid in place: crude oilCapillary number: highFracture status: none, M1' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid in place: crude oilCapillary number: highFracture status: none, M1","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/ENHWPR","Title":"Particulate Matter Measurements for test beacon","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Particulate Matter Measurements for test beacon' Description:'Particulate matter measurements from test beacon' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {particulate matter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Particulate Matter Measurements for test beacon' Description:'Particulate matter measurements from test beacon' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Particulate matter measurements from test beacon","Subject":" Engineering","Keywords":"particulate matter"},{"pid":"doi:10.18738/T8/EQFUBV","Title":"mineral_high_ca_deadend_M2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'mineral_high_ca_deadend_M2' Description:'Fluid displaced: mineral oilCapillary number: highFracture status: not connected, M2' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'mineral_high_ca_deadend_M2' Description:'Fluid displaced: mineral oilCapillary number: highFracture status: not connected, M2' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid displaced: mineral oilCapillary number: highFracture status: not connected, M2","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/FPSIAI","Title":"mineral_medium_ca_connected_M3","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'mineral_medium_ca_connected_M3' Description:'Fluid displaced: mineral oilCapillary number: mediumFracture status: connected, M3' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'mineral_medium_ca_connected_M3' Description:'Fluid displaced: mineral oilCapillary number: mediumFracture status: connected, M3' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid displaced: mineral oilCapillary number: mediumFracture status: connected, M3","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/GLALNE","Title":"Fidel Castro Industrial Building Inauguration Speeches, 1968-1994, from the Fidel Castro Speech Database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Industrial Building Inauguration Speeches, 1968-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 28 buildings related to the speeches given by Fidel Castro that range from July 1968 to December 1994. These buildings include farms, printing plants, sugar mills, and oil refineries, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only nine weren’t able to be located and thus, eight of them were given a general location of a city or province, and one of them was provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {1968-1994; 20th century; Cuban Revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Industrial Building Inauguration Speeches, 1968-1994, from the Fidel Castro Speech Database' Description:'The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 28 buildings related to the speeches given by Fidel Castro that range from July 1968 to December 1994. These buildings include farms, printing plants, sugar mills, and oil refineries, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only nine weren’t able to be located and thus, eight of them were given a general location of a city or province, and one of them was provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The map was created as part of the online exhibition “Inauguration Speeches by Fidel Castro 1960-1994”, based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC) by the LLILAS Benson Latin American Studies and Collections. The map includes a subset of 28 buildings related to the speeches given by Fidel Castro that range from July 1968 to December 1994. These buildings include farms, printing plants, sugar mills, and oil refineries, among others. The buildings were identified by the building names found in the speeches and georeferenced to their location. Out of the buildings identified, only nine weren’t able to be located and thus, eight of them were given a general location of a city or province, and one of them was provided a location south of Cuba, visible on the sea to provide accurate representation of the entirety of the dataset.","Subject":" Engineering","Keywords":"1968-1994; 20th century; Cuban Revolution"},{"pid":"doi:10.18738/T8/GV0ASD","Title":"ASTRIANet Data for: Python Computational Inference from Structure (PyCIS)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ASTRIANet Data for: Python Computational Inference from Structure (PyCIS)' Description:' Usage and Overview This data set contains FITS-formatted files of annotated image data collected by the ASTRIANet telescope network, along with a technical specification document on the telescope sensor and an Excel-formatted table of example image annotations. Two full passes of data are provided as packaged tar.gz files containing contiguous observations of one LEO (Starlink-1422) and one GEO (Navstar-48) satellite over a 5-minute and 11-minute period respectively, and GIF-format video visualizations of each observation are provided. Individual zipped FITS files of single-frame data are also provided for the Starlink satellite. This data is provided as an example of typical ASTRIANet sensor capabilities, and may be used to run demonstrations of the related PyCIS object detection software. For more details on this software, the ASTRIANet telescope network, and the provided data and documents, please see the descriptions provided below. ASTRIANet ASTRIANet is a robotic telescope network operated by ASTRIA, designed to record time-series of optical observations of Anthropogenic Space Objects (ASOs) from all orbital regimes LEO-to-GEO. The network supports the Space Domain Awareness (SDA) mission of ASTRIAGraph by closing the information lifecycle from raw observation to trajectory data fusion. Per its operational strategy, the network collects electro-optical observations with significant imaging and tracking noise, and does not collect traditional calibration frames. Accurate ASO detection and tracking algorithms are required to enable Orbit Determination (OD) and bridge the ASTRIANet telescope network with the ASTRIAGraph database by delivering actionable trajectory information. PyCIS Algorithm Details: A-Contrario Detection and Tracking Under the so-called 'a-contrario' paradigm, structures in data are considered 'meaningful' if they are unlikely to occur by chance according to a background noise model. This 'Helmholtz Principle' is formalized by a 'Number of False Alarms' (or NFA) function which probabilistically defines a structure's “meaningfulness” given both a noise model assumption and some measurement function [2]. We use this dataset to demonstrate the feasibility of detecting ASOs from 16-Megapixel visual imagery observations under the “a-contrario” paradigm. Our motivation in implementing an “a-contrario” detection scheme is two-fold. Firstly, we seek to avoid traditional CCD sensor reductions (e.g. background subtraction, flat-fielding) which can reduce precision as well as operational observation time. Secondly, we seek to avoid making discrete point detections on each image fame, in contrast to many implementations of so-called “track-before-detect” schemes and other three-dimensional “a-contrario” algorithms. Our 'Python Computation Inference from Structure' (PyCIS) algorithm [1] builds upon existing low-level implementations of the “a-contrario” principle, which detect edge features in 2D image data by probabilistically detecting meaningful regions of gradient vector field alignments [3, 4]. We have extended these implementations to extract centerline trajectories of of stars and other space objects moving over time. Maintaining the “a-contrario” framework, we then classify meaningful trajectory populations such as stars and sensor noise and identify potential anthropogenic space objects by rejection. For further details, please reference the related software. Data The curated set of data included in this submission is as follows: 20201220_45696_starlink-1422/*.zip: The raw optical image data from the ASTRIANet02 telescope (New Mexico Skies Observatory), stored as separate Flexible Image Transport System (FITS)-format files containing single Header/Data Units (HDUs) of single-exposure image frames and associated metadata. This header and image data can be processed using the Astropy module for Python (see the PyCIS GitHub for details). The ASTRIANet02 system follows a target track from publicly available two-line elements (TLEs) and collects unfiltered and uncorrected optical CCD data (see attached documents). Upon data collection, locally stored data is curated for quality and uploaded to the Corral storage system of the Texas Advanced Computing Center (TACC). This observation set includes 66 frames of data for a Starlink satellite collected on December 20, 2020 over a 5-minute observation, chosen for use in PyCIS demonstrations due to ASO visibility and motion patterns in the image plane. FULLPASS_20201220_45696_starlink-1422.tar.gz: A packaged collection of optical data of the Starlink-1422 LEO satellite collected on December 20, 2020 from the ASTRIANet02 telescope containing 66 individual FITS files over a 5-minute observation. While individual frames of FITS data may be downloaded for analysis (see above), this package is provided for users interested in the full time-series data. FULLPASS_20201224_26407_navstar-48.tar.gz: A packaged collection of optical data of the Navstar-48 GEO satellite collected on December 24, 2020 from the ASTRIANet02 telescope containing 93 individual FITS files over an 11-minute observation. This package is provided for users interested in full time-series data, and inspection of individual frames will require downloading the full pass. VISUAL_*.gif: Video visualizations of each FULLPASS data set. For visual comprehension, the videos use 4-pixel binning to reduced 1024x1024 resolution, are clipped and normalized to 5 standard deviations from the mean for improved contrast, and are animated at 5 frames per second. Documentation Documentation on the sensor technical specifications and tracking information used to produce the dataset is included as follows: example_header.xlsx: Extracted header data from the 20201220013535730_45696.zip data file. Standard sensor information is provided, along with details on the object being tracked and the celestial environment, auto-populated by the telescope software during collection. The TLEs are sourced from Space Track or CelesTrak (for Starlink satellites). The RA_OBJ/ DEC_OBJ coordinates are predictions from the associated TLE using SGP4, for use in validating detections. The header design complies with the Electro-Optical Space Situational Awareness (EOSSA) data product format [5]. Questionnaire_sensor_NMSkies.docx: Technical specifications of the ASTRIANet telescope used to collect the observational data, including sensor details and station information. Usage These datasets can be reused by policymakers, by industry, by researchers and by the public interested in compliance with international regulations for ASOs. The PyCIS algorithm and demonstrations which utilize this data set can be found at https://github.com/ut-astria/PyCIS [1].' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anthropogenic Space Objects; Detection Algorithm; Optical Data; Space Domain Awareness; Target Tracking+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ASTRIANet Data for: Python Computational Inference from Structure (PyCIS)' Description:' Usage and Overview This data set contains FITS-formatted files of annotated image data collected by the ASTRIANet telescope network, along with a technical specification document on the telescope sensor and an Excel-formatted table of example image annotations. Two full passes of data are provided as packaged tar.gz files containing contiguous observations of one LEO (Starlink-1422) and one GEO (Navstar-48) satellite over a 5-minute and 11-minute period respectively, and GIF-format video visualizations of each observation are provided. Individual zipped FITS files of single-frame data are also provided for the Starlink satellite. This data is provided as an example of typical ASTRIANet sensor capabilities, and may be used to run demonstrations of the related PyCIS object detection software. For more details on this software, the ASTRIANet telescope network, and the provided data and documents, please see the descriptions provided below. ASTRIANet ASTRIANet is a robotic telescope network operated by ASTRIA, designed to record time-series of optical observations of Anthropogenic Space Objects (ASOs) from all orbital regimes LEO-to-GEO. The network supports the Space Domain Awareness (SDA) mission of ASTRIAGraph by closing the information lifecycle from raw observation to trajectory data fusion. Per its operational strategy, the network collects electro-optical observations with significant imaging and tracking noise, and does not collect traditional calibration frames. Accurate ASO detection and tracking algorithms are required to enable Orbit Determination (OD) and bridge the ASTRIANet telescope network with the ASTRIAGraph database by delivering actionable trajectory information. PyCIS Algorithm Details: A-Contrario Detection and Tracking Under the so-called 'a-contrario' paradigm, structures in data are considered 'meaningful' if they are unlikely to occur by chance according to a background noise model. This 'Helmholtz Principle' is formalized by a 'Number of False Alarms' (or NFA) function which probabilistically defines a structure's “meaningfulness” given both a noise model assumption and some measurement function [2]. We use this dataset to demonstrate the feasibility of detecting ASOs from 16-Megapixel visual imagery observations under the “a-contrario” paradigm. Our motivation in implementing an “a-contrario” detection scheme is two-fold. Firstly, we seek to avoid traditional CCD sensor reductions (e.g. background subtraction, flat-fielding) which can reduce precision as well as operational observation time. Secondly, we seek to avoid making discrete point detections on each image fame, in contrast to many implementations of so-called “track-before-detect” schemes and other three-dimensional “a-contrario” algorithms. Our 'Python Computation Inference from Structure' (PyCIS) algorithm [1] builds upon existing low-level implementations of the “a-contrario” principle, which detect edge features in 2D image data by probabilistically detecting meaningful regions of gradient vector field alignments [3, 4]. We have extended these implementations to extract centerline trajectories of of stars and other space objects moving over time. Maintaining the “a-contrario” framework, we then classify meaningful trajectory populations such as stars and sensor noise and identify potential anthropogenic space objects by rejection. For further details, please reference the related software. Data The curated set of data included in this submission is as follows: 20201220_45696_starlink-1422/*.zip: The raw optical image data from the ASTRIANet02 telescope (New Mexico Skies Observatory), stored as separate Flexible Image Transport System (FITS)-format files containing single Header/Data Units (HDUs) of single-exposure image frames and associated metadata. This header and image data can be processed using the Astropy module for Python (see the PyCIS GitHub for details). The ASTRIANet02 system follows a target track from publicly available two-line elements (TLEs) and collects unfiltered and uncorrected optical CCD data (see attached documents). Upon data collection, locally stored data is curated for quality and uploaded to the Corral storage system of the Texas Advanced Computing Center (TACC). This observation set includes 66 frames of data for a Starlink satellite collected on December 20, 2020 over a 5-minute observation, chosen for use in PyCIS demonstrations due to ASO visibility and motion patterns in the image plane. FULLPASS_20201220_45696_starlink-1422.tar.gz: A packaged collection of optical data of the Starlink-1422 LEO satellite collected on December 20, 2020 from the ASTRIANet02 telescope containing 66 individual FITS files over a 5-minute observation. While individual frames of FITS data may be downloaded for analysis (see above), this package is provided for users interested in the full time-series data. FULLPASS_20201224_26407_navstar-48.tar.gz: A packaged collection of optical data of the Navstar-48 GEO satellite collected on December 24, 2020 from the ASTRIANet02 telescope containing 93 individual FITS files over an 11-minute observation. This package is provided for users interested in full time-series data, and inspection of individual frames will require downloading the full pass. VISUAL_*.gif: Video visualizations of each FULLPASS data set. For visual comprehension, the videos use 4-pixel binning to reduced 1024x1024 resolution, are clipped and normalized to 5 standard deviations from the mean for improved contrast, and are animated at 5 frames per second. Documentation Documentation on the sensor technical specifications and tracking information used to produce the dataset is included as follows: example_header.xlsx: Extracted header data from the 20201220013535730_45696.zip data file. Standard sensor information is provided, along with details on the object being tracked and the celestial environment, auto-populated by the telescope software during collection. The TLEs are sourced from Space Track or CelesTrak (for Starlink satellites). The RA_OBJ/ DEC_OBJ coordinates are predictions from the associated TLE using SGP4, for use in validating detections. The header design complies with the Electro-Optical Space Situational Awareness (EOSSA) data product format [5]. Questionnaire_sensor_NMSkies.docx: Technical specifications of the ASTRIANet telescope used to collect the observational data, including sensor details and station information. Usage These datasets can be reused by policymakers, by industry, by researchers and by the public interested in compliance with international regulations for ASOs. The PyCIS algorithm and demonstrations which utilize this data set can be found at https://github.com/ut-astria/PyCIS [1].' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":" Usage and Overview This data set contains FITS-formatted files of annotated image data collected by the ASTRIANet telescope network, along with a technical specification document on the telescope sensor and an Excel-formatted table of example image annotations. Two full passes of data are provided as packaged tar.gz files containing contiguous observations of one LEO (Starlink-1422) and one GEO (Navstar-48) satellite over a 5-minute and 11-minute period respectively, and GIF-format video visualizations of each observation are provided. Individual zipped FITS files of single-frame data are also provided for the Starlink satellite. This data is provided as an example of typical ASTRIANet sensor capabilities, and may be used to run demonstrations of the related PyCIS object detection software. For more details on this software, the ASTRIANet telescope network, and the provided data and documents, please see the descriptions provided below. ASTRIANet ASTRIANet is a robotic telescope network operated by ASTRIA, designed to record time-series of optical observations of Anthropogenic Space Objects (ASOs) from all orbital regimes LEO-to-GEO. The network supports the Space Domain Awareness (SDA) mission of ASTRIAGraph by closing the information lifecycle from raw observation to trajectory data fusion. Per its operational strategy, the network collects electro-optical observations with significant imaging and tracking noise, and does not collect traditional calibration frames. Accurate ASO detection and tracking algorithms are required to enable Orbit Determination (OD) and bridge the ASTRIANet telescope network with the ASTRIAGraph database by delivering actionable trajectory information. PyCIS Algorithm Details: A-Contrario Detection and Tracking Under the so-called 'a-contrario' paradigm, structures in data are considered 'meaningful' if they are unlikely to occur by chance according to a background noise model. This 'Helmholtz Principle' is formalized by a 'Number of False Alarms' (or NFA) function which probabilistically defines a structure's “meaningfulness” given both a noise model assumption and some measurement function [2]. We use this dataset to demonstrate the feasibility of detecting ASOs from 16-Megapixel visual imagery observations under the “a-contrario” paradigm. Our motivation in implementing an “a-contrario” detection scheme is two-fold. Firstly, we seek to avoid traditional CCD sensor reductions (e.g. background subtraction, flat-fielding) which can reduce precision as well as operational observation time. Secondly, we seek to avoid making discrete point detections on each image fame, in contrast to many implementations of so-called “track-before-detect” schemes and other three-dimensional “a-contrario” algorithms. Our 'Python Computation Inference from Structure' (PyCIS) algorithm [1] builds upon existing low-level implementations of the “a-contrario” principle, which detect edge features in 2D image data by probabilistically detecting meaningful regions of gradient vector field alignments [3, 4]. We have extended these implementations to extract centerline trajectories of of stars and other space objects moving over time. Maintaining the “a-contrario” framework, we then classify meaningful trajectory populations such as stars and sensor noise and identify potential anthropogenic space objects by rejection. For further details, please reference the related software. Data The curated set of data included in this submission is as follows: 20201220_45696_starlink-1422/*.zip: The raw optical image data from the ASTRIANet02 telescope (New Mexico Skies Observatory), stored as separate Flexible Image Transport System (FITS)-format files containing single Header/Data Units (HDUs) of single-exposure image frames and associated metadata. This header and image data can be processed using the Astropy module for Python (see the PyCIS GitHub for details). The ASTRIANet02 system follows a target track from publicly available two-line elements (TLEs) and collects unfiltered and uncorrected optical CCD data (see attached documents). Upon data collection, locally stored data is curated for quality and uploaded to the Corral storage system of the Texas Advanced Computing Center (TACC). This observation set includes 66 frames of data for a Starlink satellite collected on December 20, 2020 over a 5-minute observation, chosen for use in PyCIS demonstrations due to ASO visibility and motion patterns in the image plane. FULLPASS_20201220_45696_starlink-1422.tar.gz: A packaged collection of optical data of the Starlink-1422 LEO satellite collected on December 20, 2020 from the ASTRIANet02 telescope containing 66 individual FITS files over a 5-minute observation. While individual frames of FITS data may be downloaded for analysis (see above), this package is provided for users interested in the full time-series data. FULLPASS_20201224_26407_navstar-48.tar.gz: A packaged collection of optical data of the Navstar-48 GEO satellite collected on December 24, 2020 from the ASTRIANet02 telescope containing 93 individual FITS files over an 11-minute observation. This package is provided for users interested in full time-series data, and inspection of individual frames will require downloading the full pass. VISUAL_*.gif: Video visualizations of each FULLPASS data set. For visual comprehension, the videos use 4-pixel binning to reduced 1024x1024 resolution, are clipped and normalized to 5 standard deviations from the mean for improved contrast, and are animated at 5 frames per second. Documentation Documentation on the sensor technical specifications and tracking information used to produce the dataset is included as follows: example_header.xlsx: Extracted header data from the 20201220013535730_45696.zip data file. Standard sensor information is provided, along with details on the object being tracked and the celestial environment, auto-populated by the telescope software during collection. The TLEs are sourced from Space Track or CelesTrak (for Starlink satellites). The RA_OBJ/ DEC_OBJ coordinates are predictions from the associated TLE using SGP4, for use in validating detections. The header design complies with the Electro-Optical Space Situational Awareness (EOSSA) data product format [5]. Questionnaire_sensor_NMSkies.docx: Technical specifications of the ASTRIANet telescope used to collect the observational data, including sensor details and station information. Usage These datasets can be reused by policymakers, by industry, by researchers and by the public interested in compliance with international regulations for ASOs. The PyCIS algorithm and demonstrations which utilize this data set can be found at https://github.com/ut-astria/PyCIS [1].","Subject":" Engineering","Keywords":"Anthropogenic Space Objects; Detection Algorithm; Optical Data; Space Domain Awareness; Target Tracking"},{"pid":"doi:10.18738/T8/HUBMDM","Title":"Graph Network Simulator PyTorch training dataset for water drop sample","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Graph Network Simulator PyTorch training dataset for water drop sample' Description:'DataSet for training the PyTorch Graph Network Simulator. https://github.com/geoelements/gns. The repository contains the data sets for water drop sample' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {gns, PyTorch, ML, Water+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Graph Network Simulator PyTorch training dataset for water drop sample' Description:'DataSet for training the PyTorch Graph Network Simulator. https://github.com/geoelements/gns. The repository contains the data sets for water drop sample' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"DataSet for training the PyTorch Graph Network Simulator. https://github.com/geoelements/gns. The repository contains the data sets for water drop sample","Subject":" Engineering","Keywords":"gns, PyTorch, ML, Water"},{"pid":"doi:10.18738/T8/IOB1G7","Title":"RV Histology, high resolution images","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'RV Histology, high resolution images' Description:'High resolution (approx 30-60 MB per image) version of the histology dataset.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {mechanics, histology, right ventricle+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'RV Histology, high resolution images' Description:'High resolution (approx 30-60 MB per image) version of the histology dataset.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"High resolution (approx 30-60 MB per image) version of the histology dataset.","Subject":"Engineering","Keywords":"mechanics, histology, right ventricle"},{"pid":"doi:10.18738/T8/IPHYKM","Title":"Supporting Data for Automated detection of instability-inducing channel geometry transitions in Saint-Venant simulation of large-scale river networks","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supporting Data for Automated detection of instability-inducing channel geometry transitions in Saint-Venant simulation of large-scale river networks' Description:'Code and supporting data for Automated detection of instability-inducing channel geometry transitions in Saint-Venant simulation of large-scale river networks. Manuscript in preparation for peer review.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {numerical model+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supporting Data for Automated detection of instability-inducing channel geometry transitions in Saint-Venant simulation of large-scale river networks' Description:'Code and supporting data for Automated detection of instability-inducing channel geometry transitions in Saint-Venant simulation of large-scale river networks. Manuscript in preparation for peer review.' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Code and supporting data for Automated detection of instability-inducing channel geometry transitions in Saint-Venant simulation of large-scale river networks. Manuscript in preparation for peer review.","Subject":" Engineering","Keywords":"numerical model"},{"pid":"doi:10.18738/T8/J9L2HP","Title":"crude_high_ca_connected_M3","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'crude_high_ca_connected_M3' Description:'Fluid in place: crude oilCapillary number: highFracture status: connected, M3' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'crude_high_ca_connected_M3' Description:'Fluid in place: crude oilCapillary number: highFracture status: connected, M3' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid in place: crude oilCapillary number: highFracture status: connected, M3","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/JJ1WR9","Title":"Influences of Dead‐End Pores in Porous Media on Viscous Fingering Instabilities and Cleanup of NAPLs in Miscible Displacements","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Influences of Dead‐End Pores in Porous Media on Viscous Fingering Instabilities and Cleanup of NAPLs in Miscible Displacements' Description:'Data related to the manuscript titled: 'Influences of Dead‐End Pores in Porous Media on Viscous Fingering Instabilities and Cleanup of NAPLs in Miscible Displacements' by Yuan et al (2021), published on Water Resources Research.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Fingering instabilities+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Influences of Dead‐End Pores in Porous Media on Viscous Fingering Instabilities and Cleanup of NAPLs in Miscible Displacements' Description:'Data related to the manuscript titled: 'Influences of Dead‐End Pores in Porous Media on Viscous Fingering Instabilities and Cleanup of NAPLs in Miscible Displacements' by Yuan et al (2021), published on Water Resources Research.' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data related to the manuscript titled: 'Influences of Dead‐End Pores in Porous Media on Viscous Fingering Instabilities and Cleanup of NAPLs in Miscible Displacements' by Yuan et al (2021), published on Water Resources Research.","Subject":" Engineering","Keywords":"Fingering instabilities"},{"pid":"doi:10.18738/T8/KDBJH1","Title":"crude_medium_ca_matrix_M1","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'crude_medium_ca_matrix_M1' Description:'Fluid in place: crude oilCapillary number: mediumFracture status: none, M1' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'crude_medium_ca_matrix_M1' Description:'Fluid in place: crude oilCapillary number: mediumFracture status: none, M1' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid in place: crude oilCapillary number: mediumFracture status: none, M1","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/KIZFLK","Title":"Interview Data: Implications of Social Distancing Policies on Drinking Water Infrastructure","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Interview Data: Implications of Social Distancing Policies on Drinking Water Infrastructure' Description:'Anonymized interview data to understand US water utilities challenges and responses to the COVID-19 pandemic. This material is based upon work supported by the National Science Foundation under Grant No. 2032434/2032429.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {drinking water; pandemic+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Interview Data: Implications of Social Distancing Policies on Drinking Water Infrastructure' Description:'Anonymized interview data to understand US water utilities challenges and responses to the COVID-19 pandemic. This material is based upon work supported by the National Science Foundation under Grant No. 2032434/2032429.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Anonymized interview data to understand US water utilities challenges and responses to the COVID-19 pandemic. This material is based upon work supported by the National Science Foundation under Grant No. 2032434/2032429.","Subject":"Engineering","Keywords":"drinking water; pandemic"},{"pid":"doi:10.18738/T8/KN3K9S","Title":"LV Mechanical Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'LV Mechanical Data' Description:'Mechanical testing data for the LV.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {mechanics, histology, left ventricle+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'LV Mechanical Data' Description:'Mechanical testing data for the LV.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mechanical testing data for the LV.","Subject":"Engineering","Keywords":"mechanics, histology, left ventricle"},{"pid":"doi:10.18738/T8/KTCNVK","Title":"Parts and Sample Preparation Guide for the Poker Chip or Asphalt Ductility Test","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Parts and Sample Preparation Guide for the Poker Chip or Asphalt Ductility Test' Description:'This document contains the parts, engineering drawings, and sample preparation method to conduct the poker chip or asphalt ductility test.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Asphalt Binder; Bitumen; Ductility; Poker Chip Test+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Parts and Sample Preparation Guide for the Poker Chip or Asphalt Ductility Test' Description:'This document contains the parts, engineering drawings, and sample preparation method to conduct the poker chip or asphalt ductility test.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This document contains the parts, engineering drawings, and sample preparation method to conduct the poker chip or asphalt ductility test.","Subject":"Engineering","Keywords":"Asphalt Binder; Bitumen; Ductility; Poker Chip Test"},{"pid":"doi:10.18738/T8/KWYPQE","Title":"Replication Data for: Figures in Michalski and Lin, On the far-zone electromagnetic field of a horizontal electric dipole over an imperectly-conductiong half-space with extensions to plasmonics","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Figures in Michalski and Lin, On the far-zone electromagnetic field of a horizontal electric dipole over an imperectly-conductiong half-space with extensions to plasmonics' Description:'Data files' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Hertzian dipole+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Figures in Michalski and Lin, On the far-zone electromagnetic field of a horizontal electric dipole over an imperectly-conductiong half-space with extensions to plasmonics' Description:'Data files' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data files","Subject":"Engineering","Keywords":"Hertzian dipole"},{"pid":"doi:10.18738/T8/SVLCOQ","Title":"texas-skew-update-2021","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'texas-skew-update-2021' Description:'A permanent copy of a data repository resulting from project 0-6977 Update Texas Skew Coefficients, including interim reports and the final report (as pdf and source)When the data are final this sentence will be deleted' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {regional skew coefficients, Texas, New Mexico, and Oklahoma+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'texas-skew-update-2021' Description:'A permanent copy of a data repository resulting from project 0-6977 Update Texas Skew Coefficients, including interim reports and the final report (as pdf and source)When the data are final this sentence will be deleted' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A permanent copy of a data repository resulting from project 0-6977 Update Texas Skew Coefficients, including interim reports and the final report (as pdf and source)When the data are final this sentence will be deleted","Subject":" Engineering","Keywords":"regional skew coefficients, Texas, New Mexico, and Oklahoma"},{"pid":"doi:10.18738/T8/LHC3VZ","Title":"GRACE-FO Accelerometer Electrode Voltages: 2018-06-18 to 2018-06-29","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GRACE-FO Accelerometer Electrode Voltages: 2018-06-18 to 2018-06-29' Description:'This dataset provides derived plate voltages from the GRACE-FO science data stream. Nominal GRACE-FO science data contains acceleration measurements derived from the raw accelerometer science voltages. This dataset estimates the contributions to the raw telemetry stream science voltages from each individual plate.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {GRACE-FO, accelerometer, science voltages, plate voltages+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GRACE-FO Accelerometer Electrode Voltages: 2018-06-18 to 2018-06-29' Description:'This dataset provides derived plate voltages from the GRACE-FO science data stream. Nominal GRACE-FO science data contains acceleration measurements derived from the raw accelerometer science voltages. This dataset estimates the contributions to the raw telemetry stream science voltages from each individual plate.' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset provides derived plate voltages from the GRACE-FO science data stream. Nominal GRACE-FO science data contains acceleration measurements derived from the raw accelerometer science voltages. This dataset estimates the contributions to the raw telemetry stream science voltages from each individual plate.","Subject":" Engineering","Keywords":"GRACE-FO, accelerometer, science voltages, plate voltages"},{"pid":"doi:10.18738/T8/LHX5KM","Title":"Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space' Description:' Motivation Our motivation for this analysis is to create an efficient and transparent system to categorize anthropogenic space objects (ASO's) based on orbital behavior, namely angular momentum. Doing so, we hope to lay the groundwork for future studies that involve trackability, detection, and identification. Through the creation of 'orbital zip-codes', and characterization of these clusters of ASOs in angular momentum space, we can better understand their orbital behavior to a greater extent and identify migration patterns. Objects that moved from one cluster to another were considered to be 'nomadic' objects. In theory, ASOs should have a constant or near-constant angular momentum value. Objects that exhibit significant movement between clusters require keen investigation as to why they exhibit erratic orbital migration patterns.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space' Description:' Motivation Our motivation for this analysis is to create an efficient and transparent system to categorize anthropogenic space objects (ASO's) based on orbital behavior, namely angular momentum. Doing so, we hope to lay the groundwork for future studies that involve trackability, detection, and identification. Through the creation of 'orbital zip-codes', and characterization of these clusters of ASOs in angular momentum space, we can better understand their orbital behavior to a greater extent and identify migration patterns. Objects that moved from one cluster to another were considered to be 'nomadic' objects. In theory, ASOs should have a constant or near-constant angular momentum value. Objects that exhibit significant movement between clusters require keen investigation as to why they exhibit erratic orbital migration patterns.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":" Motivation Our motivation for this analysis is to create an efficient and transparent system to categorize anthropogenic space objects (ASO's) based on orbital behavior, namely angular momentum. Doing so, we hope to lay the groundwork for future studies that involve trackability, detection, and identification. Through the creation of 'orbital zip-codes', and characterization of these clusters of ASOs in angular momentum space, we can better understand their orbital behavior to a greater extent and identify migration patterns. Objects that moved from one cluster to another were considered to be 'nomadic' objects. In theory, ASOs should have a constant or near-constant angular momentum value. Objects that exhibit significant movement between clusters require keen investigation as to why they exhibit erratic orbital migration patterns.","Subject":" Engineering","Keywords":"Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management"},{"pid":"doi:10.18738/T8/LHX5KM","Title":"Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space' Description:' The Data The 12 datasets included in this submission are JSON files that contain orbital information regarding ASOs over a 12-month period in 2019. Each dataset is a snapshot of the objects on the first day of each month. The orbital information includes angular momentum, semi-major axis, eccentricity, mean anomaly, longitude of the ascending node, equinoctial elements, and inclination. The data was acquired from ASTRIAGraph. Python scripts were written to convert the data from JSON format to a clean, manipulatable Pandas data frame. The angular momentum vectors in the x, y, and z axes were isolated and fed into K-means and spectral clustering models were implemented after conversion to polar coordinates. From here, plotting can be done if one wishes to observe the created clusters. The elbow method was used to determine the optimal number of clusters for the month of January. This number was kept constant for each run of the model on a different dataset to maintain consistency. One issue encountered was the redundant naming of the ASO objects inherent in the dataset. To discover and track nomadic objects over the one-year period, it may be helpful to handle these redundancies through renaming. Additionally, the month of January was instantiated as a reference point. The data in other months was compared to that of January to identify nomadic objects. The clusters can be characterized through object density or population. The 3-dimensional volume of a cluster could be roughly calculated by using 3D shape formulas. The object density of a cluster can be obtained by sampling points iteratively from one cluster in a constrained volume and dividing by said volume.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space' Description:' The Data The 12 datasets included in this submission are JSON files that contain orbital information regarding ASOs over a 12-month period in 2019. Each dataset is a snapshot of the objects on the first day of each month. The orbital information includes angular momentum, semi-major axis, eccentricity, mean anomaly, longitude of the ascending node, equinoctial elements, and inclination. The data was acquired from ASTRIAGraph. Python scripts were written to convert the data from JSON format to a clean, manipulatable Pandas data frame. The angular momentum vectors in the x, y, and z axes were isolated and fed into K-means and spectral clustering models were implemented after conversion to polar coordinates. From here, plotting can be done if one wishes to observe the created clusters. The elbow method was used to determine the optimal number of clusters for the month of January. This number was kept constant for each run of the model on a different dataset to maintain consistency. One issue encountered was the redundant naming of the ASO objects inherent in the dataset. To discover and track nomadic objects over the one-year period, it may be helpful to handle these redundancies through renaming. Additionally, the month of January was instantiated as a reference point. The data in other months was compared to that of January to identify nomadic objects. The clusters can be characterized through object density or population. The 3-dimensional volume of a cluster could be roughly calculated by using 3D shape formulas. The object density of a cluster can be obtained by sampling points iteratively from one cluster in a constrained volume and dividing by said volume.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":" The Data The 12 datasets included in this submission are JSON files that contain orbital information regarding ASOs over a 12-month period in 2019. Each dataset is a snapshot of the objects on the first day of each month. The orbital information includes angular momentum, semi-major axis, eccentricity, mean anomaly, longitude of the ascending node, equinoctial elements, and inclination. The data was acquired from ASTRIAGraph. Python scripts were written to convert the data from JSON format to a clean, manipulatable Pandas data frame. The angular momentum vectors in the x, y, and z axes were isolated and fed into K-means and spectral clustering models were implemented after conversion to polar coordinates. From here, plotting can be done if one wishes to observe the created clusters. The elbow method was used to determine the optimal number of clusters for the month of January. This number was kept constant for each run of the model on a different dataset to maintain consistency. One issue encountered was the redundant naming of the ASO objects inherent in the dataset. To discover and track nomadic objects over the one-year period, it may be helpful to handle these redundancies through renaming. Additionally, the month of January was instantiated as a reference point. The data in other months was compared to that of January to identify nomadic objects. The clusters can be characterized through object density or population. The 3-dimensional volume of a cluster could be roughly calculated by using 3D shape formulas. The object density of a cluster can be obtained by sampling points iteratively from one cluster in a constrained volume and dividing by said volume.","Subject":" Engineering","Keywords":"Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management"},{"pid":"doi:10.18738/T8/LHX5KM","Title":"Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space' Description:' Usage These datasets can be reused by policymakers, by industry, by researchers and by the public interested in clustering of ASOs' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space' Description:' Usage These datasets can be reused by policymakers, by industry, by researchers and by the public interested in clustering of ASOs' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":" Usage These datasets can be reused by policymakers, by industry, by researchers and by the public interested in clustering of ASOs","Subject":" Engineering","Keywords":"Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management"},{"pid":"doi:10.18738/T8/LNASZH","Title":"crude_medium_ca_connected_M3","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'crude_medium_ca_connected_M3' Description:'Fluid in place: crude oilCapillary number: mediumFracture status: connected, M3' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'crude_medium_ca_connected_M3' Description:'Fluid in place: crude oilCapillary number: mediumFracture status: connected, M3' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid in place: crude oilCapillary number: mediumFracture status: connected, M3","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/LRWTYJ","Title":"Data for: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data for: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells' Description:'Training and test datasets for the deep learning model created in: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells. Contains 300, 3 channel training images (red: F-actin, green: a-SMA, blue: DAPI), rgb composite images, and segmentation labels (label 3 classes: background, a-SMA SF-, and a-SMA SF+)' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cell Culture, Machine Learning, Myofibroblast+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data for: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells' Description:'Training and test datasets for the deep learning model created in: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells. Contains 300, 3 channel training images (red: F-actin, green: a-SMA, blue: DAPI), rgb composite images, and segmentation labels (label 3 classes: background, a-SMA SF-, and a-SMA SF+)' Subject:'Computer and Information Science; Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Training and test datasets for the deep learning model created in: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells. Contains 300, 3 channel training images (red: F-actin, green: a-SMA, blue: DAPI), rgb composite images, and segmentation labels (label 3 classes: background, a-SMA SF-, and a-SMA SF+)","Subject":" Engineering","Keywords":"Cell Culture, Machine Learning, Myofibroblast"},{"pid":"doi:10.18738/T8/LRZBLS","Title":"BIPquick code and supporting data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'BIPquick code and supporting data' Description:'This dataset is provides the python code and supporting data for the BIPquick network partitioning algorithm.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {network partition+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'BIPquick code and supporting data' Description:'This dataset is provides the python code and supporting data for the BIPquick network partitioning algorithm.' Subject:'Earth and Environmental Sciences; Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset is provides the python code and supporting data for the BIPquick network partitioning algorithm.","Subject":" Engineering","Keywords":"network partition"},{"pid":"doi:10.18738/T8/LZNHUX","Title":"Analog Conversion of Digital Data to Integrate Total Organic Carbon as an Online Detection Mode in Chromatographic Applications","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Analog Conversion of Digital Data to Integrate Total Organic Carbon as an Online Detection Mode in Chromatographic Applications' Description:'This data repository includes documentation for a device to convert the digital data output of a commercial total organic carbon detector to an analog voltage signal that can be read by a high performance liquid chromatography system, enabling direct integration with other chromatographic data, such as UV-Vis or other detectors coupled with size exclusion chromatography and field - flow fractionation. The repository includes a description of the application of the device, the hardware and software, a device schematic, and a Python script.' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chromatography; Signal Conversion; Total Organic Carbon+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Analog Conversion of Digital Data to Integrate Total Organic Carbon as an Online Detection Mode in Chromatographic Applications' Description:'This data repository includes documentation for a device to convert the digital data output of a commercial total organic carbon detector to an analog voltage signal that can be read by a high performance liquid chromatography system, enabling direct integration with other chromatographic data, such as UV-Vis or other detectors coupled with size exclusion chromatography and field - flow fractionation. The repository includes a description of the application of the device, the hardware and software, a device schematic, and a Python script.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data repository includes documentation for a device to convert the digital data output of a commercial total organic carbon detector to an analog voltage signal that can be read by a high performance liquid chromatography system, enabling direct integration with other chromatographic data, such as UV-Vis or other detectors coupled with size exclusion chromatography and field - flow fractionation. The repository includes a description of the application of the device, the hardware and software, a device schematic, and a Python script.","Subject":"Engineering","Keywords":"Chromatography; Signal Conversion; Total Organic Carbon"},{"pid":"doi:10.18738/T8/MAPELB","Title":"mineral_high_ca_connected_M3","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'mineral_high_ca_connected_M3' Description:'Fluid displaced: mineral oilCapillary number highFracture status: connected, M3' Subject:'Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {microfluidics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'mineral_high_ca_connected_M3' Description:'Fluid displaced: mineral oilCapillary number highFracture status: connected, M3' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fluid displaced: mineral oilCapillary number highFracture status: connected, M3","Subject":"Engineering","Keywords":"microfluidics"},{"pid":"doi:10.18738/T8/MOC3L9","Title":"Replication Data for: Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak' Description:'Data for manuscript entitled 'Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak'' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Methane+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak' Description:'Data for manuscript entitled 'Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak'' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data for manuscript entitled 'Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak'","Subject":" Engineering","Keywords":"Methane"},{"pid":"doi:10.18738/T8/N3XJPB","Title":"Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling' Description:'This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Stabilized Organic Soils+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling' Description:'This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.' Subject:'Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.","Subject":" Engineering","Keywords":"Stabilized Organic Soils"},{"pid":"doi:10.18738/T8/N6LQSH","Title":"Babai Watershed - SWAT simulated scenarios","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Babai Watershed - SWAT simulated scenarios' Description:'Baseline scenario Fully irrigated rice-wheat scenario Rainfed rice-wheat and rice-lentil scenarioRice-vegetable- spring rice scenario & Rice-irrigated maize scenarioyear of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data)' Subject:' Engineering'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {SWAT Scenarios+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Babai Watershed - SWAT simulated scenarios' Description:'Baseline scenario Fully irrigated rice-wheat scenario Rainfed rice-wheat and rice-lentil scenarioRice-vegetable- spring rice scenario & Rice-irrigated maize scenarioyear of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data)' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Baseline scenario Fully irrigated rice-wheat scenario Rainfed rice-wheat and rice-lentil scenarioRice-vegetable- spring rice scenario & Rice-irrigated maize scenarioyear of simulation : 1985-2020 (using meteorologic data), 2021- 2050 (climate data)","Subject":" Engineering","Keywords":"SWAT Scenarios"},{"pid":"doi:10.11588/data/PAMQ0B","Title":"Copy Trading [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Copy Trading [Dataset]' Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {copy trading; experiment; financial markets; imitation; social networks+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Copy Trading [Dataset]' Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.","Subject":"Business and Management","Keywords":"copy trading; experiment; financial markets; imitation; social networks"},{"pid":"doi:10.15139/S3/0YBZVL","Title":"Paycheck Protection Program (PPP) loans","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Paycheck Protection Program (PPP) loans' Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Paycheck Protection Program (PPP) loans' Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.","Subject":"Business and Management","Keywords":"paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA"},{"pid":"doi:10.15139/S3/HB2FH2","Title":"Small businesses open","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Small businesses open' Description:'This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {operations, hours, business, local, small, closure, pandemic, coronavirus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Small businesses open' Description:'This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.","Subject":"Business and Management","Keywords":"operations, hours, business, local, small, closure, pandemic, coronavirus"},{"pid":"doi:10.15139/S3/VMCS6Y","Title":"Mass layoffs/closures","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mass layoffs/closures' Description:'These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {layoff, closure, permanent, temporary, workforce, work, employment, employee, employer, establishment, business, commerce+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mass layoffs/closures' Description:'These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.","Subject":"Business and Management","Keywords":"layoff, closure, permanent, temporary, workforce, work, employment, employee, employer, establishment, business, commerce"},{"pid":"doi:10.18710/5MS1JK","Title":"Using an algorithmic approach for grouping roles and sub-units","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Using an algorithmic approach for grouping roles and sub-units' Description:'Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input and used a clustering algorithm to group the elements in a more optimal manner. The data are related to two pilot projects where the tool was used, and include both the current organization and the clustered (optimized) solution.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design Structure Matrix; Evolutionary algorithm; Organization design+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Using an algorithmic approach for grouping roles and sub-units' Description:'Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input and used a clustering algorithm to group the elements in a more optimal manner. The data are related to two pilot projects where the tool was used, and include both the current organization and the clustered (optimized) solution.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input and used a clustering algorithm to group the elements in a more optimal manner. The data are related to two pilot projects where the tool was used, and include both the current organization and the clustered (optimized) solution.","Subject":"Business and Management","Keywords":"Design Structure Matrix; Evolutionary algorithm; Organization design"},{"pid":"doi:10.18710/CZRKNZ","Title":"Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {circular economy; discourse analysis; environmental politics; Norway+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?","Subject":"Business and Management","Keywords":"circular economy; discourse analysis; environmental politics; Norway"},{"pid":"doi:10.18710/CZRKNZ","Title":"Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {circular economy; discourse analysis; environmental politics; Norway+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.","Subject":"Business and Management","Keywords":"circular economy; discourse analysis; environmental politics; Norway"},{"pid":"doi:10.18710/EBBMHF","Title":"Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.","Subject":" Business and Management","Keywords":"action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education"},{"pid":"doi:10.18710/EBBMHF","Title":"Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.","Subject":" Business and Management","Keywords":"action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education"},{"pid":"doi:10.18710/HK2TXA","Title":"Replication Data for: Integrating problem-based learning with international internships in business education","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Integrating problem-based learning with international internships in business education' Description:'This is a dataset for the article 'Integrating problem-based learning with international internships in business education'. The dataset includes information for replication purposes of the action-research initiative, namely the course program. The purpose is to allow interested researchers to adapt these materials. (2022-01-25)Abstract: The literature on international business teaching has contributed to the development of international internships as a learning pedagogy through three key areas: making sense of the students’ developed competences and prospective added employment value following their participation in international internships, the role of support structures in the organization of internships abroad, and more recently the pedagogical design of internships abroad. Thus, more recent research has taken a critical stance toward internships as a learning form, as serious gaps exist in the pedagogical elements required to connect internships with the broader theoretical elements of international business programs. The present study addresses these gaps through two research questions: i) How can educators design and implement problem-based international internships in business education? ii) What adjustments does the combination of these two active learning experiences in business education demand for small business schools, partner universities, and hosting organizations? The paper presents pedagogical action research that was conducted over two courses for international business internships in a Norwegian-Brazilian context for bachelor’s and master’s students. It contributes to the international business teaching literature in the following ways: First, the validated teaching framework argues for international internships that are linked to loosely defined problems at the host organization, which the student self-scopes and connects based on their theoretical knowledge from other courses. Second, by providing an in-depth discussion of problem-based learning and its applicability in international business practicums, we address the existing gap in the field regarding the pedagogical foundations of how students connect theory to practice during international internships. Third, the framework serves as a practical guideline for teaching and administrative staff who wish to develop international internship programs at home universities, supporting their ability to connect the practical aspects established in the literature with the additional organizational requirements arising from working with hosting organizations overseas.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {higher education; International business; internationalization; internships abroad; problem-based learning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Integrating problem-based learning with international internships in business education' Description:'This is a dataset for the article 'Integrating problem-based learning with international internships in business education'. The dataset includes information for replication purposes of the action-research initiative, namely the course program. The purpose is to allow interested researchers to adapt these materials. (2022-01-25)Abstract: The literature on international business teaching has contributed to the development of international internships as a learning pedagogy through three key areas: making sense of the students’ developed competences and prospective added employment value following their participation in international internships, the role of support structures in the organization of internships abroad, and more recently the pedagogical design of internships abroad. Thus, more recent research has taken a critical stance toward internships as a learning form, as serious gaps exist in the pedagogical elements required to connect internships with the broader theoretical elements of international business programs. The present study addresses these gaps through two research questions: i) How can educators design and implement problem-based international internships in business education? ii) What adjustments does the combination of these two active learning experiences in business education demand for small business schools, partner universities, and hosting organizations? The paper presents pedagogical action research that was conducted over two courses for international business internships in a Norwegian-Brazilian context for bachelor’s and master’s students. It contributes to the international business teaching literature in the following ways: First, the validated teaching framework argues for international internships that are linked to loosely defined problems at the host organization, which the student self-scopes and connects based on their theoretical knowledge from other courses. Second, by providing an in-depth discussion of problem-based learning and its applicability in international business practicums, we address the existing gap in the field regarding the pedagogical foundations of how students connect theory to practice during international internships. Third, the framework serves as a practical guideline for teaching and administrative staff who wish to develop international internship programs at home universities, supporting their ability to connect the practical aspects established in the literature with the additional organizational requirements arising from working with hosting organizations overseas.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a dataset for the article 'Integrating problem-based learning with international internships in business education'. The dataset includes information for replication purposes of the action-research initiative, namely the course program. The purpose is to allow interested researchers to adapt these materials. (2022-01-25)Abstract: The literature on international business teaching has contributed to the development of international internships as a learning pedagogy through three key areas: making sense of the students’ developed competences and prospective added employment value following their participation in international internships, the role of support structures in the organization of internships abroad, and more recently the pedagogical design of internships abroad. Thus, more recent research has taken a critical stance toward internships as a learning form, as serious gaps exist in the pedagogical elements required to connect internships with the broader theoretical elements of international business programs. The present study addresses these gaps through two research questions: i) How can educators design and implement problem-based international internships in business education? ii) What adjustments does the combination of these two active learning experiences in business education demand for small business schools, partner universities, and hosting organizations? The paper presents pedagogical action research that was conducted over two courses for international business internships in a Norwegian-Brazilian context for bachelor’s and master’s students. It contributes to the international business teaching literature in the following ways: First, the validated teaching framework argues for international internships that are linked to loosely defined problems at the host organization, which the student self-scopes and connects based on their theoretical knowledge from other courses. Second, by providing an in-depth discussion of problem-based learning and its applicability in international business practicums, we address the existing gap in the field regarding the pedagogical foundations of how students connect theory to practice during international internships. Third, the framework serves as a practical guideline for teaching and administrative staff who wish to develop international internship programs at home universities, supporting their ability to connect the practical aspects established in the literature with the additional organizational requirements arising from working with hosting organizations overseas.","Subject":"Business and Management","Keywords":"higher education; International business; internationalization; internships abroad; problem-based learning"},{"pid":"doi:10.18710/MCGMQO","Title":"Replication Data for: Does practice makes perfect? Assessing the formation of expertise among new venture founders","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Does practice makes perfect? Assessing the formation of expertise among new venture founders' Description:'Prior research has theorized that entrepreneurs engage in deliberate practice—intense, prolonged, focused efforts to improve their entrepreneurial skills and abilities—in order to enhance their cognitive resources to form entrepreneurial expertise (Baron and Henry 2010). Examining this work empirically, our research asks the question: what is the role of deliberate practice in the formation of entrepreneurial expertise among business founders? Our results show that deliberate practice is, indeed, a predictor of entrepreneurial expertise. As such, this study sheds light on how deliberate practice, by transforming entrepreneurs’ experiences into expertise, may contribute to the successful development of a new venture.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Deliberate Practice; Entrepreneurial Expertise; Entrepreneurship; New Venture; Start-up Experience+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Does practice makes perfect? Assessing the formation of expertise among new venture founders' Description:'Prior research has theorized that entrepreneurs engage in deliberate practice—intense, prolonged, focused efforts to improve their entrepreneurial skills and abilities—in order to enhance their cognitive resources to form entrepreneurial expertise (Baron and Henry 2010). Examining this work empirically, our research asks the question: what is the role of deliberate practice in the formation of entrepreneurial expertise among business founders? Our results show that deliberate practice is, indeed, a predictor of entrepreneurial expertise. As such, this study sheds light on how deliberate practice, by transforming entrepreneurs’ experiences into expertise, may contribute to the successful development of a new venture.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Prior research has theorized that entrepreneurs engage in deliberate practice—intense, prolonged, focused efforts to improve their entrepreneurial skills and abilities—in order to enhance their cognitive resources to form entrepreneurial expertise (Baron and Henry 2010). Examining this work empirically, our research asks the question: what is the role of deliberate practice in the formation of entrepreneurial expertise among business founders? Our results show that deliberate practice is, indeed, a predictor of entrepreneurial expertise. As such, this study sheds light on how deliberate practice, by transforming entrepreneurs’ experiences into expertise, may contribute to the successful development of a new venture.","Subject":"Business and Management","Keywords":"Deliberate Practice; Entrepreneurial Expertise; Entrepreneurship; New Venture; Start-up Experience"},{"pid":"doi:10.18738/T8/BNLLTF","Title":"Competencies of OD Professionals","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Competencies of OD Professionals' Description:'This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Competencies; Organization Development+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Competencies of OD Professionals' Description:'This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.","Subject":"Business and Management","Keywords":"Competencies; Organization Development"},{"pid":"doi:10.18710/Q1T63B","Title":"Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab' Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab' Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' Subject:'Business and Management; Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.","Subject":"Business and Management","Keywords":"Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions"},{"pid":"doi:10.18710/ROZ2QY","Title":"Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015' Description:'This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {External knowledge sourcing; Innovation; Minerals industry; Stakeholder+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015' Description:'This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.","Subject":"Business and Management","Keywords":"External knowledge sourcing; Innovation; Minerals industry; Stakeholder"},{"pid":"doi:10.34894/DXIZWM","Title":"Under His Thumb. The Effect of President Donald Trump's Twitter Messages on the US Stock Market","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Under His Thumb. The Effect of President Donald Trump's Twitter Messages on the US Stock Market' Description:'Does president Trump’s use of Twitter affect financial markets? The president frequently mentions companies in his tweets and, as such, tries to gain leverage over their behavior. We analyze the effect of president Trump’s Twitter messages that specifically mention a company name on its stock market returns. We find that tweets from the president which reveal strong negative sentiment are followed by reduced market value of the company mentioned, whereas supportive tweets do not render a significant effect. Our methodology does not allow us to conclude about the exact mechanism behind these findings and can only be used to investigate short-term effects.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {event study; sentiment; stock market; Trump; Twitter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Under His Thumb. The Effect of President Donald Trump's Twitter Messages on the US Stock Market' Description:'Does president Trump’s use of Twitter affect financial markets? The president frequently mentions companies in his tweets and, as such, tries to gain leverage over their behavior. We analyze the effect of president Trump’s Twitter messages that specifically mention a company name on its stock market returns. We find that tweets from the president which reveal strong negative sentiment are followed by reduced market value of the company mentioned, whereas supportive tweets do not render a significant effect. Our methodology does not allow us to conclude about the exact mechanism behind these findings and can only be used to investigate short-term effects.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Does president Trump’s use of Twitter affect financial markets? The president frequently mentions companies in his tweets and, as such, tries to gain leverage over their behavior. We analyze the effect of president Trump’s Twitter messages that specifically mention a company name on its stock market returns. We find that tweets from the president which reveal strong negative sentiment are followed by reduced market value of the company mentioned, whereas supportive tweets do not render a significant effect. Our methodology does not allow us to conclude about the exact mechanism behind these findings and can only be used to investigate short-term effects.","Subject":"Business and Management","Keywords":"event study; sentiment; stock market; Trump; Twitter"},{"pid":"doi:10.18710/WNRIXH","Title":"Organization design practitioner study data set","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Organization design practitioner study data set' Description:'This data set is the result of a study of consultants who specialize in organization design. The data set contains the results of three surveys, one conducted with members of the Organization Design Forum, one with members of the European Organisation Design Forum, and one with employees of a global consulting firm.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Management consultants; Organization design; Survey+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Organization design practitioner study data set' Description:'This data set is the result of a study of consultants who specialize in organization design. The data set contains the results of three surveys, one conducted with members of the Organization Design Forum, one with members of the European Organisation Design Forum, and one with employees of a global consulting firm.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set is the result of a study of consultants who specialize in organization design. The data set contains the results of three surveys, one conducted with members of the Organization Design Forum, one with members of the European Organisation Design Forum, and one with employees of a global consulting firm.","Subject":"Business and Management","Keywords":"Management consultants; Organization design; Survey"},{"pid":"doi:10.18738/T8/55MZ8F","Title":"Mexican Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mexican Data' Description:'Mexican Data.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Border crossing; Border security; Border security--United States; Mexican-American Border Region+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mexican Data' Description:'Mexican Data.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mexican Data.","Subject":"Business and Management","Keywords":"Border crossing; Border security; Border security--United States; Mexican-American Border Region"},{"pid":"doi:10.18738/T8/74EAGP","Title":"Complete results for Agricultural automation study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Complete results for Agricultural automation study' Description:'The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural Automation, Robotic Machine Scheduling, Mixed Integer Programming, Multitasking, Multiskilling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Complete results for Agricultural automation study' Description:'The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'' Subject:'Agricultural Sciences; Business and Management; Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The complete results for a study on 'Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments'","Subject":" Business and Management","Keywords":"Agricultural Automation, Robotic Machine Scheduling, Mixed Integer Programming, Multitasking, Multiskilling"},{"pid":"doi:10.18738/T8/920BS9","Title":"TSP with flexible coloring","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TSP with flexible coloring' Description:'Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {TSP+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TSP with flexible coloring' Description:'Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing' Subject:'Business and Management; Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing","Subject":"Business and Management","Keywords":"TSP"},{"pid":"doi:10.18738/T8/AYR4NS","Title":"Data-To-XML-Scripts","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data-To-XML-Scripts' Description:'Data-To-XML-Scripts.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Border crossing; Border security; Border security--United States; Mexican-American Border Region+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data-To-XML-Scripts' Description:'Data-To-XML-Scripts.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data-To-XML-Scripts.","Subject":"Business and Management","Keywords":"Border crossing; Border security; Border security--United States; Mexican-American Border Region"},{"pid":"doi:10.18738/T8/K6YJII","Title":"Border Crossing Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Border Crossing Data' Description:'Border Crossing Data.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Border crossing; Border security; Border security--United States; Mexican-American Border Region+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Border Crossing Data' Description:'Border Crossing Data.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Border Crossing Data.","Subject":"Business and Management","Keywords":"Border crossing; Border security; Border security--United States; Mexican-American Border Region"},{"pid":"doi:10.18738/T8/KEE0OC","Title":"Replication Data for Remote Work Project","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Remote Work Project' Description:'Remote working matched dyads during COVID.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Remote Work+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Remote Work Project' Description:'Remote working matched dyads during COVID.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Remote working matched dyads during COVID.","Subject":"Business and Management","Keywords":"Remote Work"},{"pid":"doi:10.18738/T8/LXOUVX","Title":"Greatest Entrepreneurs and Businesspeople in American History (2011 Expert Poll)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Greatest Entrepreneurs and Businesspeople in American History (2011 Expert Poll)' Description:'This is the data set associated with the 2011 expert polling to determine the greatest entrepreneurs and businesspeople in American history. It includes a Excel file with complete results from 41 experts included in the poll. The names and 2011 affiliations are included in a separate file. The Excel file records summary results from all 41 ballots and does not reflect individual level nominations.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Henry Ford; Oprah Winfrey; Steve Jobs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Greatest Entrepreneurs and Businesspeople in American History (2011 Expert Poll)' Description:'This is the data set associated with the 2011 expert polling to determine the greatest entrepreneurs and businesspeople in American history. It includes a Excel file with complete results from 41 experts included in the poll. The names and 2011 affiliations are included in a separate file. The Excel file records summary results from all 41 ballots and does not reflect individual level nominations.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the data set associated with the 2011 expert polling to determine the greatest entrepreneurs and businesspeople in American history. It includes a Excel file with complete results from 41 experts included in the poll. The names and 2011 affiliations are included in a separate file. The Excel file records summary results from all 41 ballots and does not reflect individual level nominations.","Subject":"Business and Management","Keywords":"Henry Ford; Oprah Winfrey; Steve Jobs"},{"pid":"doi:10.18738/T8/MEJSVW","Title":"Wang_Scripts","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Wang_Scripts' Description:'Wang_Scripts' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Border crossing; Border security; Border security--United States; Mexican-American Border Region+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Wang_Scripts' Description:'Wang_Scripts' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Wang_Scripts","Subject":"Business and Management","Keywords":"Border crossing; Border security; Border security--United States; Mexican-American Border Region"},{"pid":"doi:10.18738/T8/MGWNSN","Title":"multiple level warehouse layout problem","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'multiple level warehouse layout problem' Description:'Large data set for multiple level warehouse layout problem' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {multiple level warehouse layout problem+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'multiple level warehouse layout problem' Description:'Large data set for multiple level warehouse layout problem' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Large data set for multiple level warehouse layout problem","Subject":"Business and Management","Keywords":"multiple level warehouse layout problem"},{"pid":"doi:10.18738/T8/OMUBK8","Title":"GIS Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GIS Data' Description:'GIS Data.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Border crossing; Border security; Border security--United States; Geospatial data; Mexican-American Border Region+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GIS Data' Description:'GIS Data.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"GIS Data.","Subject":"Business and Management","Keywords":"Border crossing; Border security; Border security--United States; Geospatial data; Mexican-American Border Region"},{"pid":"doi:10.18738/T8/RSXR1T","Title":"Multi-skilled Multi-period WorkForce Management","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Multi-skilled Multi-period WorkForce Management' Description:'computational results for multi-skilled multi-period workforce management. 'The multi-skilled multi-period workforce assignment problem'. International Journal of Production Research, 1-18. 2020, doi: 10.1080/00207543.2020.1783009' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Scheduling; Multi-period; Mixed-Integer Programming; Multitasking; Multi-skilled; K-Opt Strategy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Multi-skilled Multi-period WorkForce Management' Description:'computational results for multi-skilled multi-period workforce management. 'The multi-skilled multi-period workforce assignment problem'. International Journal of Production Research, 1-18. 2020, doi: 10.1080/00207543.2020.1783009' Subject:'Business and Management; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"computational results for multi-skilled multi-period workforce management. 'The multi-skilled multi-period workforce assignment problem'. International Journal of Production Research, 1-18. 2020, doi: 10.1080/00207543.2020.1783009","Subject":"Business and Management","Keywords":"Scheduling; Multi-period; Mixed-Integer Programming; Multitasking; Multi-skilled; K-Opt Strategy"},{"pid":"doi:10.18738/T8/WDFBR5","Title":"r-flip and MST2 algorithms: data files and results","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'r-flip and MST2 algorithms: data files and results' Description:'The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {QUBO+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'r-flip and MST2 algorithms: data files and results' Description:'The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000' Subject:'Business and Management; Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000","Subject":"Business and Management","Keywords":"QUBO"},{"pid":"doi:10.18738/T8/XPQPUI","Title":"Aguero, Bidal, Papers, 1949-1988 and undated - Item Level Metadata","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Aguero, Bidal, Papers, 1949-1988 and undated - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/89757' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {El Editor; Temple, TX; Tyler, TX+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Aguero, Bidal, Papers, 1949-1988 and undated - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/89757' Subject:'Arts and Humanities; Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/89757","Subject":" Business and Management","Keywords":"El Editor; Temple, TX; Tyler, TX"},{"pid":"doi:10.18738/T8/XPQPUI","Title":"Aguero, Bidal, Papers, 1949-1988 and undated - Item Level Metadata","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Aguero, Bidal, Papers, 1949-1988 and undated - Item Level Metadata' Description:'This is the item level metadata for the Aguero, Bidal, Papers, 1949-1988 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {El Editor; Temple, TX; Tyler, TX+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Aguero, Bidal, Papers, 1949-1988 and undated - Item Level Metadata' Description:'This is the item level metadata for the Aguero, Bidal, Papers, 1949-1988 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the item level metadata for the Aguero, Bidal, Papers, 1949-1988 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.","Subject":" Business and Management","Keywords":"El Editor; Temple, TX; Tyler, TX"},{"pid":"doi:10.18738/T8/XRHVYM","Title":"The study of Stock options, innovation, retention and performance","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The study of Stock options, innovation, retention and performance' Description:'This is a study to analyze the relationship between stock options, innovation, employee retention, company financial performance.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {stock options+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The study of Stock options, innovation, retention and performance' Description:'This is a study to analyze the relationship between stock options, innovation, employee retention, company financial performance.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a study to analyze the relationship between stock options, innovation, employee retention, company financial performance.","Subject":"Business and Management","Keywords":"stock options"},{"pid":"doi:10.18738/T8/YQ9PSJ","Title":"City Sustainable Development Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'City Sustainable Development Data' Description:'The data for 284 Chinese cities and results of Random Block Analysis.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Data Envolopment Analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'City Sustainable Development Data' Description:'The data for 284 Chinese cities and results of Random Block Analysis.' Subject:'Business and Management; Earth and Environmental Sciences; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data for 284 Chinese cities and results of Random Block Analysis.","Subject":"Business and Management","Keywords":"Data Envolopment Analysis"},{"pid":"doi:10.21223/HWC5DA","Title":"Dataset for: Consolidated data on CapDev activities 2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset for: Consolidated data on CapDev activities 2017' Description:'Consolidated data set with information on capacity development activities and trainees reported under RTB in 2017' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {activities; capacity development; climate action; data; decent work and growth economic; gender equality; good health and well-being; no poverty; partnerships for the goals; zero hunger+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset for: Consolidated data on CapDev activities 2017' Description:'Consolidated data set with information on capacity development activities and trainees reported under RTB in 2017' Subject:'Agricultural Sciences; Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Consolidated data set with information on capacity development activities and trainees reported under RTB in 2017","Subject":" Business and Management","Keywords":"activities; capacity development; climate action; data; decent work and growth economic; gender equality; good health and well-being; no poverty; partnerships for the goals; zero hunger"},{"pid":"doi:10.34725/DVN/5IQUMH","Title":"Assessing the capacity of smallholder collective enterprises: Insights from certified cocoa cooperatives in Peru","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Assessing the capacity of smallholder collective enterprises: Insights from certified cocoa cooperatives in Peru' Description:'This data set is in Spanish and includes research conducted from January through February in the San Martín department in Peru. It includes socio economic, production, and marketing gender disaggregated data for around 120 households that are members of four emerging cacao cooperatives.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agroforestry; Emerging; Gender; Theobroma cacao+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Assessing the capacity of smallholder collective enterprises: Insights from certified cocoa cooperatives in Peru' Description:'This data set is in Spanish and includes research conducted from January through February in the San Martín department in Peru. It includes socio economic, production, and marketing gender disaggregated data for around 120 households that are members of four emerging cacao cooperatives.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set is in Spanish and includes research conducted from January through February in the San Martín department in Peru. It includes socio economic, production, and marketing gender disaggregated data for around 120 households that are members of four emerging cacao cooperatives.","Subject":"Business and Management","Keywords":"Agroforestry; Emerging; Gender; Theobroma cacao"},{"pid":"doi:10.34725/DVN/8WEKKV","Title":"Encuesta de Preferencia de Productos Locales de Consumidores en un Mercado de Abastos Cusco, Peru/Survey Results of Consumer Preference for Local Goods in a Wet Market in Cusco, Peru","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Encuesta de Preferencia de Productos Locales de Consumidores en un Mercado de Abastos Cusco, Peru/Survey Results of Consumer Preference for Local Goods in a Wet Market in Cusco, Peru' Description:'Resultados de 300 entrevistas de consumidores en el mercado Wanchaq, Cusco, Perú para entender sus preferencias para productos locales. La encuesta incluye un experimento de escoger para determina el valor que consumidores ponen en productos locales (manzanas, aguacates, y peras). Results form 300 interviews with consumers in the Wanchaq market in Cusco, Peru to understand consumers' preferences for local products. The survey includes a choice experiment to determine value that consumers place on local products (apples, avocados, and pears).' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Apple; Avocado; Choice experiment; Food System; Organic; Organic Agriculture; Pears+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Encuesta de Preferencia de Productos Locales de Consumidores en un Mercado de Abastos Cusco, Peru/Survey Results of Consumer Preference for Local Goods in a Wet Market in Cusco, Peru' Description:'Resultados de 300 entrevistas de consumidores en el mercado Wanchaq, Cusco, Perú para entender sus preferencias para productos locales. La encuesta incluye un experimento de escoger para determina el valor que consumidores ponen en productos locales (manzanas, aguacates, y peras). Results form 300 interviews with consumers in the Wanchaq market in Cusco, Peru to understand consumers' preferences for local products. The survey includes a choice experiment to determine value that consumers place on local products (apples, avocados, and pears).' Subject:'Agricultural Sciences; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Resultados de 300 entrevistas de consumidores en el mercado Wanchaq, Cusco, Perú para entender sus preferencias para productos locales. La encuesta incluye un experimento de escoger para determina el valor que consumidores ponen en productos locales (manzanas, aguacates, y peras). Results form 300 interviews with consumers in the Wanchaq market in Cusco, Peru to understand consumers' preferences for local products. The survey includes a choice experiment to determine value that consumers place on local products (apples, avocados, and pears).","Subject":" Business and Management","Keywords":"Apple; Avocado; Choice experiment; Food System; Organic; Organic Agriculture; Pears"},{"pid":"doi:10.34725/DVN/A07QFA","Title":"Replication data for: Preparing the ground for better landscape governance: gendered realities in southern Sulawesi","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Preparing the ground for better landscape governance: gendered realities in southern Sulawesi' Description:'In recognition of the importance of effective and equitable governance at the landscape scale in enhancing human and environmental well-being, we use a recently developed framework for assessing men’s and women’s involvement in local governance. These results set the stage for an ongoing examination of the success of the AgFor project in southern Sulawesi in achieving this goal. Our findings establish a baseline on gender and governance in five communities with landscapes that include forestry, agroforestry, and agriculture: Bonto Tappalang and Tana Toa in South Sulawesi, and Tawanga, Ladongi, and Wonua Hua in Southeast Sulawesi. These indicators, which we complement with ethnographic insights, fall into two categories: (1) level of public involvement and (2) skills relevant for political action, each of which is assessed for both women and men. Our findings reflect what we believe to be a comparatively equitable gender situation in Sulawesi, with hopeful prospects for enhancing women’s (and men’s) public involvement in governance. We conclude with some practical and ethnographically informed suggestions for enhancing collaboration with women and men in these (and similar) communities.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agroforestry; Bugis; Forestry; Governance skill; Makassar; Public involvement; Tolaki+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Preparing the ground for better landscape governance: gendered realities in southern Sulawesi' Description:'In recognition of the importance of effective and equitable governance at the landscape scale in enhancing human and environmental well-being, we use a recently developed framework for assessing men’s and women’s involvement in local governance. These results set the stage for an ongoing examination of the success of the AgFor project in southern Sulawesi in achieving this goal. Our findings establish a baseline on gender and governance in five communities with landscapes that include forestry, agroforestry, and agriculture: Bonto Tappalang and Tana Toa in South Sulawesi, and Tawanga, Ladongi, and Wonua Hua in Southeast Sulawesi. These indicators, which we complement with ethnographic insights, fall into two categories: (1) level of public involvement and (2) skills relevant for political action, each of which is assessed for both women and men. Our findings reflect what we believe to be a comparatively equitable gender situation in Sulawesi, with hopeful prospects for enhancing women’s (and men’s) public involvement in governance. We conclude with some practical and ethnographically informed suggestions for enhancing collaboration with women and men in these (and similar) communities.' Subject:'Agricultural Sciences; Business and Management; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In recognition of the importance of effective and equitable governance at the landscape scale in enhancing human and environmental well-being, we use a recently developed framework for assessing men’s and women’s involvement in local governance. These results set the stage for an ongoing examination of the success of the AgFor project in southern Sulawesi in achieving this goal. Our findings establish a baseline on gender and governance in five communities with landscapes that include forestry, agroforestry, and agriculture: Bonto Tappalang and Tana Toa in South Sulawesi, and Tawanga, Ladongi, and Wonua Hua in Southeast Sulawesi. These indicators, which we complement with ethnographic insights, fall into two categories: (1) level of public involvement and (2) skills relevant for political action, each of which is assessed for both women and men. Our findings reflect what we believe to be a comparatively equitable gender situation in Sulawesi, with hopeful prospects for enhancing women’s (and men’s) public involvement in governance. We conclude with some practical and ethnographically informed suggestions for enhancing collaboration with women and men in these (and similar) communities.","Subject":" Business and Management","Keywords":"Agroforestry; Bugis; Forestry; Governance skill; Makassar; Public involvement; Tolaki"},{"pid":"doi:10.34725/DVN/IHGMCO","Title":"Replication Data for: Mbosso C Degrande A van Damme P Tsafack S Nimino G Tchoundjeu Z 2015 Gender differences in knowledge, perception and use of the Ricinodendron heudelotii kernel extraction machine","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Mbosso C Degrande A van Damme P Tsafack S Nimino G Tchoundjeu Z 2015 Gender differences in knowledge, perception and use of the Ricinodendron heudelotii kernel extraction machine' Description:'This paper explores differences in knowledge, perception and use of a Ricinodendron heudelotii (njansang) extraction machine by women and men in Cameroon. With the view of designing a new technology that appropriately addresses the needs, concerns and interventions likely particularly to benefit women (the principal actors in processing of non-timber forest products), a survey was conducted with 81 households in five villages using a questionnaire. Results indicated that njansang processing is a main activity for women, but men earned more income from its sales. Women use the machine more often than men but are not as knowledgeable about the mechanical aspects. The familiarity of men with other machines makes them assess the price of the njansang extraction machine more accurately than women, leading to a greater willingness to adopt the technology. Men using the machine are less demanding and easier to satisfy. For further research on the dissemination of the machine, women should be encouraged and trained not only on the proper pre-treatment of the nuts before extraction, but also on the functioning of the machine.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Adoption; Cameroon; Group-members; Njansang; Potential users+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Mbosso C Degrande A van Damme P Tsafack S Nimino G Tchoundjeu Z 2015 Gender differences in knowledge, perception and use of the Ricinodendron heudelotii kernel extraction machine' Description:'This paper explores differences in knowledge, perception and use of a Ricinodendron heudelotii (njansang) extraction machine by women and men in Cameroon. With the view of designing a new technology that appropriately addresses the needs, concerns and interventions likely particularly to benefit women (the principal actors in processing of non-timber forest products), a survey was conducted with 81 households in five villages using a questionnaire. Results indicated that njansang processing is a main activity for women, but men earned more income from its sales. Women use the machine more often than men but are not as knowledgeable about the mechanical aspects. The familiarity of men with other machines makes them assess the price of the njansang extraction machine more accurately than women, leading to a greater willingness to adopt the technology. Men using the machine are less demanding and easier to satisfy. For further research on the dissemination of the machine, women should be encouraged and trained not only on the proper pre-treatment of the nuts before extraction, but also on the functioning of the machine.' Subject:'Agricultural Sciences; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This paper explores differences in knowledge, perception and use of a Ricinodendron heudelotii (njansang) extraction machine by women and men in Cameroon. With the view of designing a new technology that appropriately addresses the needs, concerns and interventions likely particularly to benefit women (the principal actors in processing of non-timber forest products), a survey was conducted with 81 households in five villages using a questionnaire. Results indicated that njansang processing is a main activity for women, but men earned more income from its sales. Women use the machine more often than men but are not as knowledgeable about the mechanical aspects. The familiarity of men with other machines makes them assess the price of the njansang extraction machine more accurately than women, leading to a greater willingness to adopt the technology. Men using the machine are less demanding and easier to satisfy. For further research on the dissemination of the machine, women should be encouraged and trained not only on the proper pre-treatment of the nuts before extraction, but also on the functioning of the machine.","Subject":" Business and Management","Keywords":"Adoption; Cameroon; Group-members; Njansang; Potential users"},{"pid":"doi:10.34725/DVN/PBSKRS","Title":"Replication Data for: Improving commercialization of Cola spp. in Cameroon – applying lessons from NTFPs in a context of domestication","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Improving commercialization of Cola spp. in Cameroon – applying lessons from NTFPs in a context of domestication' Description:'Development organizations and research institutes worldwide have implemented numerous projects that target improved production, use and commercialization of Non-Timber Forest Products (NTFPs) and Agroforestry Tree Products (AFTPs) for livelihoods, markets and biodiversity purposes. These projects aim to contribute towards the Millennium Development Goals of eradicating poverty and hunger andpromoting social equity and environmental sustainability. Given the current lack of impact studies, this review paper attempts to summarize the bottlenecks, potentials and impacts of improved NTFP commercialization, and apply the lessons learnt in a context of emerging domestication efforts on cola nut (Cola spp.) in Cameroon. Several limitations to increased cola commercialisation are listed. There are biologicalconstraints, as well as those related to market organization. Projects aiming to improve NTFP/AFTP commercialization have the potential to improve farmers’ livelihoods and to contribute to the conservation of the natural resources. However, no consensus on the real impact could be deduced from evaluation studies, since some of these projects failed to deliver the expected benefits in terms of poverty alleviation, led to resource overexploitation and put pressure on traditional tenure systems. On the other hand, collective action at producer level was found to result in improved market information, increased product quality and quantity, reduced transaction costs, enhanced negotiating abilities and strengthened social bonds. Benefitting also traders, group sales comprised a win-win situation. Finally, this article looks at the position of women who are important NTFP/AFTP value chain actors and finds that improved commercialization can have both positive and negative effects on women’s livelihoods.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agroforestry tree products; Non-timber forest products; Transaction costs; Value chains; Women+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Improving commercialization of Cola spp. in Cameroon – applying lessons from NTFPs in a context of domestication' Description:'Development organizations and research institutes worldwide have implemented numerous projects that target improved production, use and commercialization of Non-Timber Forest Products (NTFPs) and Agroforestry Tree Products (AFTPs) for livelihoods, markets and biodiversity purposes. These projects aim to contribute towards the Millennium Development Goals of eradicating poverty and hunger andpromoting social equity and environmental sustainability. Given the current lack of impact studies, this review paper attempts to summarize the bottlenecks, potentials and impacts of improved NTFP commercialization, and apply the lessons learnt in a context of emerging domestication efforts on cola nut (Cola spp.) in Cameroon. Several limitations to increased cola commercialisation are listed. There are biologicalconstraints, as well as those related to market organization. Projects aiming to improve NTFP/AFTP commercialization have the potential to improve farmers’ livelihoods and to contribute to the conservation of the natural resources. However, no consensus on the real impact could be deduced from evaluation studies, since some of these projects failed to deliver the expected benefits in terms of poverty alleviation, led to resource overexploitation and put pressure on traditional tenure systems. On the other hand, collective action at producer level was found to result in improved market information, increased product quality and quantity, reduced transaction costs, enhanced negotiating abilities and strengthened social bonds. Benefitting also traders, group sales comprised a win-win situation. Finally, this article looks at the position of women who are important NTFP/AFTP value chain actors and finds that improved commercialization can have both positive and negative effects on women’s livelihoods.' Subject:'Agricultural Sciences; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Development organizations and research institutes worldwide have implemented numerous projects that target improved production, use and commercialization of Non-Timber Forest Products (NTFPs) and Agroforestry Tree Products (AFTPs) for livelihoods, markets and biodiversity purposes. These projects aim to contribute towards the Millennium Development Goals of eradicating poverty and hunger andpromoting social equity and environmental sustainability. Given the current lack of impact studies, this review paper attempts to summarize the bottlenecks, potentials and impacts of improved NTFP commercialization, and apply the lessons learnt in a context of emerging domestication efforts on cola nut (Cola spp.) in Cameroon. Several limitations to increased cola commercialisation are listed. There are biologicalconstraints, as well as those related to market organization. Projects aiming to improve NTFP/AFTP commercialization have the potential to improve farmers’ livelihoods and to contribute to the conservation of the natural resources. However, no consensus on the real impact could be deduced from evaluation studies, since some of these projects failed to deliver the expected benefits in terms of poverty alleviation, led to resource overexploitation and put pressure on traditional tenure systems. On the other hand, collective action at producer level was found to result in improved market information, increased product quality and quantity, reduced transaction costs, enhanced negotiating abilities and strengthened social bonds. Benefitting also traders, group sales comprised a win-win situation. Finally, this article looks at the position of women who are important NTFP/AFTP value chain actors and finds that improved commercialization can have both positive and negative effects on women’s livelihoods.","Subject":" Business and Management","Keywords":"Agroforestry tree products; Non-timber forest products; Transaction costs; Value chains; Women"},{"pid":"doi:10.34725/DVN/RSH60O","Title":"Entrevistas con administradores de hoteles y restarauntes en Cusco in 2015/Interviews with hotel and restaurant administrators in Cusco in 2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Entrevistas con administradores de hoteles y restarauntes en Cusco in 2015/Interviews with hotel and restaurant administrators in Cusco in 2015' Description:'Data on 46 interviews conducted with hotel and restaurant administrators in Cusco on their preference for locally produced foods and access to and efforts to obtain locally sourced food.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Andes; Latin America; Local Food System; Smallholders+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Entrevistas con administradores de hoteles y restarauntes en Cusco in 2015/Interviews with hotel and restaurant administrators in Cusco in 2015' Description:'Data on 46 interviews conducted with hotel and restaurant administrators in Cusco on their preference for locally produced foods and access to and efforts to obtain locally sourced food.' Subject:'Agricultural Sciences; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data on 46 interviews conducted with hotel and restaurant administrators in Cusco on their preference for locally produced foods and access to and efforts to obtain locally sourced food.","Subject":" Business and Management","Keywords":"Andes; Latin America; Local Food System; Smallholders"},{"pid":"doi:10.34725/DVN/VQXGPV","Title":"Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.","Subject":" Business and Management","Keywords":"Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism"},{"pid":"doi:10.34725/DVN/Z1XF0S","Title":"Sygnola Tsafack and Ann Degrande (2015) The Value of Printed Sources of Information in Agricultural Extension Case Study on “The Farmer’s Voice” in Cameroon, MEAS Evaluative Case Study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sygnola Tsafack and Ann Degrande (2015) The Value of Printed Sources of Information in Agricultural Extension Case Study on “The Farmer’s Voice” in Cameroon, MEAS Evaluative Case Study' Description:'Various methods are used to provide extension workers and farmers with agricultural information. Printed materials remain a major source of information, despite digitalization of information networks, but few studies have looked at their effectiveness. The present work characterizes and assesses the effectiveness of The Farmer’s Voice (TFV), an agricultural newspaper in Cameroon. Data were collected using a semi-structured questionnaire from 107 randomly sampled readers (mainly farmers, lead farmers and extension workers) in three regions.Most respondents subscribed to TFV and paid fees themselves. The time readers took to read completely the magazine varied with gender, reader category, and education level. Respondents recalled topics such as technical tips and health/nutrition much more than others. For 94 percent of users, the motivation to read TFV was to learn appropriate practices on production, consumption, and marketing.Though TFV was a complementary source of agricultural knowledge for most respondents, 97.2 percent were using information from this magazine on a day-to-day basis. Most respondents kept copies of TFV, mainly for future reference. More women than men and more subscribers than occasional buyers preserved copies.All respondents agreed that TFV had significantly contributed to changes in their farming practices. For farmer trainers, TFV was very useful in their extension and advisory activities. Though more than four-fifths of readers had learned about new farming practices through TFV, 27.2 percent were not able to master some of the techniques described in TFV. The difference can be explained by their low education level. Around one-third of respondents said they were willing to share information with others through TFV; very few (11.5 percent) had written to the journal.The majority of users found TFV easy to read and understand. The current price was just about right for 52.8 percent of readers, and 76.8 percent said the quality of the journal was good. Less than one-fourth of respondents (23.4 percent) were able to specify a journal that could substitute for or complement TFV. Most users of TFV (83.5 percent) confirmed that the content of the journal is relevant to all types of farmers. The average score of the general effectiveness of the TFV was 8 out of 10 (min = 5, max = 10, median = 8).The majority of subscribers complained about not receiving their monthly issue on time. Distribution coverage was also low, especially in the rural areas and in towns where there is no official distributor. Some respondents criticized TFV for not sufficiently dealing with topics such as fund-raising, agroforestry and processing of agricultural products.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural magazine; Effectiveness; Extension material; Relevance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sygnola Tsafack and Ann Degrande (2015) The Value of Printed Sources of Information in Agricultural Extension Case Study on “The Farmer’s Voice” in Cameroon, MEAS Evaluative Case Study' Description:'Various methods are used to provide extension workers and farmers with agricultural information. Printed materials remain a major source of information, despite digitalization of information networks, but few studies have looked at their effectiveness. The present work characterizes and assesses the effectiveness of The Farmer’s Voice (TFV), an agricultural newspaper in Cameroon. Data were collected using a semi-structured questionnaire from 107 randomly sampled readers (mainly farmers, lead farmers and extension workers) in three regions.Most respondents subscribed to TFV and paid fees themselves. The time readers took to read completely the magazine varied with gender, reader category, and education level. Respondents recalled topics such as technical tips and health/nutrition much more than others. For 94 percent of users, the motivation to read TFV was to learn appropriate practices on production, consumption, and marketing.Though TFV was a complementary source of agricultural knowledge for most respondents, 97.2 percent were using information from this magazine on a day-to-day basis. Most respondents kept copies of TFV, mainly for future reference. More women than men and more subscribers than occasional buyers preserved copies.All respondents agreed that TFV had significantly contributed to changes in their farming practices. For farmer trainers, TFV was very useful in their extension and advisory activities. Though more than four-fifths of readers had learned about new farming practices through TFV, 27.2 percent were not able to master some of the techniques described in TFV. The difference can be explained by their low education level. Around one-third of respondents said they were willing to share information with others through TFV; very few (11.5 percent) had written to the journal.The majority of users found TFV easy to read and understand. The current price was just about right for 52.8 percent of readers, and 76.8 percent said the quality of the journal was good. Less than one-fourth of respondents (23.4 percent) were able to specify a journal that could substitute for or complement TFV. Most users of TFV (83.5 percent) confirmed that the content of the journal is relevant to all types of farmers. The average score of the general effectiveness of the TFV was 8 out of 10 (min = 5, max = 10, median = 8).The majority of subscribers complained about not receiving their monthly issue on time. Distribution coverage was also low, especially in the rural areas and in towns where there is no official distributor. Some respondents criticized TFV for not sufficiently dealing with topics such as fund-raising, agroforestry and processing of agricultural products.' Subject:'Agricultural Sciences; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Various methods are used to provide extension workers and farmers with agricultural information. Printed materials remain a major source of information, despite digitalization of information networks, but few studies have looked at their effectiveness. The present work characterizes and assesses the effectiveness of The Farmer’s Voice (TFV), an agricultural newspaper in Cameroon. Data were collected using a semi-structured questionnaire from 107 randomly sampled readers (mainly farmers, lead farmers and extension workers) in three regions.Most respondents subscribed to TFV and paid fees themselves. The time readers took to read completely the magazine varied with gender, reader category, and education level. Respondents recalled topics such as technical tips and health/nutrition much more than others. For 94 percent of users, the motivation to read TFV was to learn appropriate practices on production, consumption, and marketing.Though TFV was a complementary source of agricultural knowledge for most respondents, 97.2 percent were using information from this magazine on a day-to-day basis. Most respondents kept copies of TFV, mainly for future reference. More women than men and more subscribers than occasional buyers preserved copies.All respondents agreed that TFV had significantly contributed to changes in their farming practices. For farmer trainers, TFV was very useful in their extension and advisory activities. Though more than four-fifths of readers had learned about new farming practices through TFV, 27.2 percent were not able to master some of the techniques described in TFV. The difference can be explained by their low education level. Around one-third of respondents said they were willing to share information with others through TFV; very few (11.5 percent) had written to the journal.The majority of users found TFV easy to read and understand. The current price was just about right for 52.8 percent of readers, and 76.8 percent said the quality of the journal was good. Less than one-fourth of respondents (23.4 percent) were able to specify a journal that could substitute for or complement TFV. Most users of TFV (83.5 percent) confirmed that the content of the journal is relevant to all types of farmers. The average score of the general effectiveness of the TFV was 8 out of 10 (min = 5, max = 10, median = 8).The majority of subscribers complained about not receiving their monthly issue on time. Distribution coverage was also low, especially in the rural areas and in towns where there is no official distributor. Some respondents criticized TFV for not sufficiently dealing with topics such as fund-raising, agroforestry and processing of agricultural products.","Subject":" Business and Management","Keywords":"Agricultural magazine; Effectiveness; Extension material; Relevance"},{"pid":"doi:10.34725/DVN/ZW5I9V","Title":"Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agricultural extension; Gender; Rural advisory services; Voluntarism+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.","Subject":" Business and Management","Keywords":"Agricultural extension; Gender; Rural advisory services; Voluntarism"},{"pid":"doi:10.34725/DVN/ZZDMXA","Title":"Replication Data for: Mbosso C Degrande A Villamor G van Damme P Tchoundjeu Z Tsafack S 2015 Factors affecting the adoption of agricultural innovation: the case of a Ricinodendron heudelotii kernel extraction machine in southern Cameroo","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Mbosso C Degrande A Villamor G van Damme P Tchoundjeu Z Tsafack S 2015 Factors affecting the adoption of agricultural innovation: the case of a Ricinodendron heudelotii kernel extraction machine in southern Cameroo' Description:'Agroforestry is now accepted as a sustainable way of improving existing cropping systems. As with other agricultural innovations, the adoption of agroforestry practices depends on farmers’ perceptions of the benefits that would arise from the use of these practices. Ricinodendron heudelotii (Baill. Pierre ex Pax.) or njansang (in Bassa local language) is a tropical tree, the kernels of which are in high demand in Cameroon as a thickening ingredient. Njansang is suitable for integration in agroforestry systems in the area, but its expansion is constrained by difficulties inkernel extraction, which has been exclusively manual so far. This paper investigates the factors that determine producers’ attitudes towards the introduction and use ofa kernel extraction machine. Among the issues investigated were characterization of users, comparison of mechanical and manual extraction, users’ appreciation of the machine and willingness to continue to use the machine. Using a structured questionnaire, 81 njansang producers from three categories were randomly selected from five villages in southern Cameroon. We further investigate howattributes of an innovation influence the adoption of the machine. Results from a principal component analysis and logistic regression suggest that the age and education of producers, annual income from njansang, the number of njansang trees exploited and the purchase price of the machine are important variables in determining its adoption. The use of the machine allows producers to spend less time on njansang kernel extraction, thereby increasing returns in labour and offering opportunities to increase the number of trees a household can exploit.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Innovation-decision process; Knowledge; Njansang; Perception; Post-harvest; Technological innovation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Mbosso C Degrande A Villamor G van Damme P Tchoundjeu Z Tsafack S 2015 Factors affecting the adoption of agricultural innovation: the case of a Ricinodendron heudelotii kernel extraction machine in southern Cameroo' Description:'Agroforestry is now accepted as a sustainable way of improving existing cropping systems. As with other agricultural innovations, the adoption of agroforestry practices depends on farmers’ perceptions of the benefits that would arise from the use of these practices. Ricinodendron heudelotii (Baill. Pierre ex Pax.) or njansang (in Bassa local language) is a tropical tree, the kernels of which are in high demand in Cameroon as a thickening ingredient. Njansang is suitable for integration in agroforestry systems in the area, but its expansion is constrained by difficulties inkernel extraction, which has been exclusively manual so far. This paper investigates the factors that determine producers’ attitudes towards the introduction and use ofa kernel extraction machine. Among the issues investigated were characterization of users, comparison of mechanical and manual extraction, users’ appreciation of the machine and willingness to continue to use the machine. Using a structured questionnaire, 81 njansang producers from three categories were randomly selected from five villages in southern Cameroon. We further investigate howattributes of an innovation influence the adoption of the machine. Results from a principal component analysis and logistic regression suggest that the age and education of producers, annual income from njansang, the number of njansang trees exploited and the purchase price of the machine are important variables in determining its adoption. The use of the machine allows producers to spend less time on njansang kernel extraction, thereby increasing returns in labour and offering opportunities to increase the number of trees a household can exploit.' Subject:'Agricultural Sciences; Business and Management; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Agroforestry is now accepted as a sustainable way of improving existing cropping systems. As with other agricultural innovations, the adoption of agroforestry practices depends on farmers’ perceptions of the benefits that would arise from the use of these practices. Ricinodendron heudelotii (Baill. Pierre ex Pax.) or njansang (in Bassa local language) is a tropical tree, the kernels of which are in high demand in Cameroon as a thickening ingredient. Njansang is suitable for integration in agroforestry systems in the area, but its expansion is constrained by difficulties inkernel extraction, which has been exclusively manual so far. This paper investigates the factors that determine producers’ attitudes towards the introduction and use ofa kernel extraction machine. Among the issues investigated were characterization of users, comparison of mechanical and manual extraction, users’ appreciation of the machine and willingness to continue to use the machine. Using a structured questionnaire, 81 njansang producers from three categories were randomly selected from five villages in southern Cameroon. We further investigate howattributes of an innovation influence the adoption of the machine. Results from a principal component analysis and logistic regression suggest that the age and education of producers, annual income from njansang, the number of njansang trees exploited and the purchase price of the machine are important variables in determining its adoption. The use of the machine allows producers to spend less time on njansang kernel extraction, thereby increasing returns in labour and offering opportunities to increase the number of trees a household can exploit.","Subject":" Business and Management","Keywords":"Innovation-decision process; Knowledge; Njansang; Perception; Post-harvest; Technological innovation"},{"pid":"doi:10.34894/0A5XQH","Title":"Replication Data for: EGKW Audit Committee Strength and Auditors' Risk Assessments: The Moderating Role of CEO Narcissism","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: EGKW Audit Committee Strength and Auditors' Risk Assessments: The Moderating Role of CEO Narcissism' Description:'Data used for paper 'Audit Committee Strength and Auditors' Risk Assessments: The Moderating Role of CEO Narcissism'' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {audit committee strength; CEO narcissism; auditor risk assessments+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: EGKW Audit Committee Strength and Auditors' Risk Assessments: The Moderating Role of CEO Narcissism' Description:'Data used for paper 'Audit Committee Strength and Auditors' Risk Assessments: The Moderating Role of CEO Narcissism'' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data used for paper 'Audit Committee Strength and Auditors' Risk Assessments: The Moderating Role of CEO Narcissism'","Subject":"Business and Management","Keywords":"audit committee strength; CEO narcissism; auditor risk assessments"},{"pid":"doi:10.34894/1UBP0L","Title":"Advertising and sales data for CPG brands, consumer panel data, The Netherlands, 2011-2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Advertising and sales data for CPG brands, consumer panel data, The Netherlands, 2011-2015' Description:'Consumer panel data on long-enough time series for brand purchases across different retail product categories.To examine the short-term and the long-term sales-to-advertising effectiveness of offline and online media for a broad set of brands in the CPG industry and derive empirical generalizations. In addition, we will assess the existence of cross-media effects among the offline and online media, thereby accounting for carryover effects. Based on the results of our analyses we will make recommendations on how CPG brands should optimally allocate their advertising budget and in which media they should either increase or decrease their spending.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CPG; Economics; Online advertising; Tilburg University; Universiteit van Amsterdam+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Advertising and sales data for CPG brands, consumer panel data, The Netherlands, 2011-2015' Description:'Consumer panel data on long-enough time series for brand purchases across different retail product categories.To examine the short-term and the long-term sales-to-advertising effectiveness of offline and online media for a broad set of brands in the CPG industry and derive empirical generalizations. In addition, we will assess the existence of cross-media effects among the offline and online media, thereby accounting for carryover effects. Based on the results of our analyses we will make recommendations on how CPG brands should optimally allocate their advertising budget and in which media they should either increase or decrease their spending.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Consumer panel data on long-enough time series for brand purchases across different retail product categories.To examine the short-term and the long-term sales-to-advertising effectiveness of offline and online media for a broad set of brands in the CPG industry and derive empirical generalizations. In addition, we will assess the existence of cross-media effects among the offline and online media, thereby accounting for carryover effects. Based on the results of our analyses we will make recommendations on how CPG brands should optimally allocate their advertising budget and in which media they should either increase or decrease their spending.","Subject":"Business and Management","Keywords":"CPG; Economics; Online advertising; Tilburg University; Universiteit van Amsterdam"},{"pid":"doi:10.34894/7XVJMT","Title":"CPG Chinese Household Panel Data 2011-2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CPG Chinese Household Panel Data 2011-2016' Description:'Chinese household panel data 2011-2016 covering all CPG purchases, including support files barcode, shopcode, panelist (incl info on age, household size, income, city (tier)).Research questions:How do brand sales in the Chinese market change as the fraction of groceries sold online goes up? What category- and brand related factors influence this change, and what is the direction of the effect? How can managers use these insights to preserve and improve their brand performance in an increasingly electronic grocery market?' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Business; China; Groceries; Online shopping; Tilburg University; UNC Kenan-Flagler Economics; Universiteit van Amsterdam+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CPG Chinese Household Panel Data 2011-2016' Description:'Chinese household panel data 2011-2016 covering all CPG purchases, including support files barcode, shopcode, panelist (incl info on age, household size, income, city (tier)).Research questions:How do brand sales in the Chinese market change as the fraction of groceries sold online goes up? What category- and brand related factors influence this change, and what is the direction of the effect? How can managers use these insights to preserve and improve their brand performance in an increasingly electronic grocery market?' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Chinese household panel data 2011-2016 covering all CPG purchases, including support files barcode, shopcode, panelist (incl info on age, household size, income, city (tier)).Research questions:How do brand sales in the Chinese market change as the fraction of groceries sold online goes up? What category- and brand related factors influence this change, and what is the direction of the effect? How can managers use these insights to preserve and improve their brand performance in an increasingly electronic grocery market?","Subject":"Business and Management","Keywords":"Business; China; Groceries; Online shopping; Tilburg University; UNC Kenan-Flagler Economics; Universiteit van Amsterdam"},{"pid":"doi:10.34894/8MMIDQ","Title":"Replication Data for 'Is de kwaliteit van de accountantscontrole gestegen?'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Is de kwaliteit van de accountantscontrole gestegen?'' Description:'The dataset is downloaded from the 'Compustat Global - Annual Fundamentals' database. The dataset contains all Dutch listed firms in the period 1998-2020. The variables are mainly financial statement line items related to firm fundamentals and financial reporting / audit quality.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accountantscontrole; Controlekwaliteit; Discretionaire accruals+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Is de kwaliteit van de accountantscontrole gestegen?'' Description:'The dataset is downloaded from the 'Compustat Global - Annual Fundamentals' database. The dataset contains all Dutch listed firms in the period 1998-2020. The variables are mainly financial statement line items related to firm fundamentals and financial reporting / audit quality.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset is downloaded from the 'Compustat Global - Annual Fundamentals' database. The dataset contains all Dutch listed firms in the period 1998-2020. The variables are mainly financial statement line items related to firm fundamentals and financial reporting / audit quality.","Subject":"Business and Management","Keywords":"Accountantscontrole; Controlekwaliteit; Discretionaire accruals"},{"pid":"doi:10.34894/AHDHGZ","Title":"Inclusive HRM in Freelancers’ Employment Relationships","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Inclusive HRM in Freelancers’ Employment Relationships' Description:'This study aimed to advance our understanding of inclusive HRM in freelance employment. The following research question was studied: What does inclusive HRM in freelancers’ employment relationships entail, taking into account the organizational needs and freelancers’ psychological contracts? In a qualitative research design, consisting of semi-structured interviews with eight dyads of HR managers and freelancers we explore three themes: (1) organizational needs in freelance employment, (2) how inclusive HRM activities can fulfill the psychological contracts of freelancers, and (3) HR managers’ and freelancers’ perceptions of employment relationships.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Dyad study; Employment relationship; Freelancers; Inclusive HRM; Organizational needs; Psychological contract+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Inclusive HRM in Freelancers’ Employment Relationships' Description:'This study aimed to advance our understanding of inclusive HRM in freelance employment. The following research question was studied: What does inclusive HRM in freelancers’ employment relationships entail, taking into account the organizational needs and freelancers’ psychological contracts? In a qualitative research design, consisting of semi-structured interviews with eight dyads of HR managers and freelancers we explore three themes: (1) organizational needs in freelance employment, (2) how inclusive HRM activities can fulfill the psychological contracts of freelancers, and (3) HR managers’ and freelancers’ perceptions of employment relationships.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study aimed to advance our understanding of inclusive HRM in freelance employment. The following research question was studied: What does inclusive HRM in freelancers’ employment relationships entail, taking into account the organizational needs and freelancers’ psychological contracts? In a qualitative research design, consisting of semi-structured interviews with eight dyads of HR managers and freelancers we explore three themes: (1) organizational needs in freelance employment, (2) how inclusive HRM activities can fulfill the psychological contracts of freelancers, and (3) HR managers’ and freelancers’ perceptions of employment relationships.","Subject":"Business and Management","Keywords":"Dyad study; Employment relationship; Freelancers; Inclusive HRM; Organizational needs; Psychological contract"},{"pid":"doi:10.34894/BYI4JB","Title":"Replication Data for: Modular interfaces, collaboration Turku University - Tilburg University","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Modular interfaces, collaboration Turku University - Tilburg University' Description:'This is the dataset for the qualitative study 'Elaborating on modular interfaces in multi-provider contexts' as published in International Journal of Operations & Production Management.This research investigates modular service provision in a network of multiple dissimilar service providers (DS care provision). The focus is on the interfaces between the service providers that supply the service components from which modular service packages are assembled. The term ‘service provider’ refers to professionals and/or the organizations where these professionals are employed. This is of utmost importance, because coordination is often undermined by fragmentation of care among multiple service providers: each provider requires a “handoff” of patient information, which creates opportunity for failure of communication between professionals, organizations, and patients. A tight fit between the complimentary components and providers involved will prevent those failures; it could discard gaps as well as duplications in care provision. This tight fit can be achieved through interfaces, because they provide standardized linkages between components and service providers that allow interaction and communication between them. Research question: How can interfaces in modular services facilitate coordination between service components and between service providers (i.c. professionals and/or organizations)?' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economics; Health service research; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Modular interfaces, collaboration Turku University - Tilburg University' Description:'This is the dataset for the qualitative study 'Elaborating on modular interfaces in multi-provider contexts' as published in International Journal of Operations & Production Management.This research investigates modular service provision in a network of multiple dissimilar service providers (DS care provision). The focus is on the interfaces between the service providers that supply the service components from which modular service packages are assembled. The term ‘service provider’ refers to professionals and/or the organizations where these professionals are employed. This is of utmost importance, because coordination is often undermined by fragmentation of care among multiple service providers: each provider requires a “handoff” of patient information, which creates opportunity for failure of communication between professionals, organizations, and patients. A tight fit between the complimentary components and providers involved will prevent those failures; it could discard gaps as well as duplications in care provision. This tight fit can be achieved through interfaces, because they provide standardized linkages between components and service providers that allow interaction and communication between them. Research question: How can interfaces in modular services facilitate coordination between service components and between service providers (i.c. professionals and/or organizations)?' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the dataset for the qualitative study 'Elaborating on modular interfaces in multi-provider contexts' as published in International Journal of Operations & Production Management.This research investigates modular service provision in a network of multiple dissimilar service providers (DS care provision). The focus is on the interfaces between the service providers that supply the service components from which modular service packages are assembled. The term ‘service provider’ refers to professionals and/or the organizations where these professionals are employed. This is of utmost importance, because coordination is often undermined by fragmentation of care among multiple service providers: each provider requires a “handoff” of patient information, which creates opportunity for failure of communication between professionals, organizations, and patients. A tight fit between the complimentary components and providers involved will prevent those failures; it could discard gaps as well as duplications in care provision. This tight fit can be achieved through interfaces, because they provide standardized linkages between components and service providers that allow interaction and communication between them. Research question: How can interfaces in modular services facilitate coordination between service components and between service providers (i.c. professionals and/or organizations)?","Subject":"Business and Management","Keywords":"Economics; Health service research; Tilburg University"},{"pid":"doi:10.34894/CQGMTU","Title":"The Empirical Effects of Government Spending","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'Chapter 2: The role of the anticipation horizon in government spending news;' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {E62 Fiscal Policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'Chapter 2: The role of the anticipation horizon in government spending news;' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Chapter 2: The role of the anticipation horizon in government spending news;","Subject":"Business and Management","Keywords":"E62 Fiscal Policy"},{"pid":"doi:10.34894/CQGMTU","Title":"The Empirical Effects of Government Spending","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'Chapter 3: Local fiscal multipliers of different government spending categories;' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {E62 Fiscal Policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'Chapter 3: Local fiscal multipliers of different government spending categories;' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Chapter 3: Local fiscal multipliers of different government spending categories;","Subject":"Business and Management","Keywords":"E62 Fiscal Policy"},{"pid":"doi:10.34894/CQGMTU","Title":"The Empirical Effects of Government Spending","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'Chapter 4: Sectoral and regional spillover effects of government spending.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {E62 Fiscal Policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'Chapter 4: Sectoral and regional spillover effects of government spending.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Chapter 4: Sectoral and regional spillover effects of government spending.","Subject":"Business and Management","Keywords":"E62 Fiscal Policy"},{"pid":"doi:10.34894/CQGMTU","Title":"The Empirical Effects of Government Spending","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'PhD project about the empirical effects of government spending. Thesis defended on June 22, 2021 by Thomas van Gemert, containing the following main chapters:' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {E62 Fiscal Policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Empirical Effects of Government Spending' Description:'PhD project about the empirical effects of government spending. Thesis defended on June 22, 2021 by Thomas van Gemert, containing the following main chapters:' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"PhD project about the empirical effects of government spending. Thesis defended on June 22, 2021 by Thomas van Gemert, containing the following main chapters:","Subject":"Business and Management","Keywords":"E62 Fiscal Policy"},{"pid":"doi:10.34894/D25FN9","Title":"Automation and taxation:An empirical assessment in Europe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Automation and taxation:An empirical assessment in Europe' Description:'Decomposing taxes by source (labor, capital, sales), we analyze the impact of automation (1) on tax revenues, (2) the structure of taxation, and (3) identify channels of impact in 19 EU countries during 1995-2016. Robots and Information and Communication Technologies (ICT) are different technologies designed to automate manual (robots) or cognitive tasks (ICT). Until 2007, robot diffusion was associated with decreasing factor and tax income, and a shift from taxes on capital to goods. ICTs coincided with changes in the structure of taxation from capital to labor. We find decreasing employment, but increasing wages and labor income. After 2008, we do not find an effect for robots but observe an ICT-induced increase in capital income, a rise of services, but no effect on taxation. Automation goes through different phases with different economic impacts which affect the amount and structure of taxes. Whether automation is negatively related to taxation depends (a) on the technology type, (b) the stage of diffusion and (c) local conditions.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {tax+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Automation and taxation:An empirical assessment in Europe' Description:'Decomposing taxes by source (labor, capital, sales), we analyze the impact of automation (1) on tax revenues, (2) the structure of taxation, and (3) identify channels of impact in 19 EU countries during 1995-2016. Robots and Information and Communication Technologies (ICT) are different technologies designed to automate manual (robots) or cognitive tasks (ICT). Until 2007, robot diffusion was associated with decreasing factor and tax income, and a shift from taxes on capital to goods. ICTs coincided with changes in the structure of taxation from capital to labor. We find decreasing employment, but increasing wages and labor income. After 2008, we do not find an effect for robots but observe an ICT-induced increase in capital income, a rise of services, but no effect on taxation. Automation goes through different phases with different economic impacts which affect the amount and structure of taxes. Whether automation is negatively related to taxation depends (a) on the technology type, (b) the stage of diffusion and (c) local conditions.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Decomposing taxes by source (labor, capital, sales), we analyze the impact of automation (1) on tax revenues, (2) the structure of taxation, and (3) identify channels of impact in 19 EU countries during 1995-2016. Robots and Information and Communication Technologies (ICT) are different technologies designed to automate manual (robots) or cognitive tasks (ICT). Until 2007, robot diffusion was associated with decreasing factor and tax income, and a shift from taxes on capital to goods. ICTs coincided with changes in the structure of taxation from capital to labor. We find decreasing employment, but increasing wages and labor income. After 2008, we do not find an effect for robots but observe an ICT-induced increase in capital income, a rise of services, but no effect on taxation. Automation goes through different phases with different economic impacts which affect the amount and structure of taxes. Whether automation is negatively related to taxation depends (a) on the technology type, (b) the stage of diffusion and (c) local conditions.","Subject":"Business and Management","Keywords":"tax"},{"pid":"doi:10.34894/DLWX22","Title":"Replication Data for: Instrumental reciprocity as an error","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Instrumental reciprocity as an error' Description:'We study the strategies used by experimental subjects in repeated sequential prisoners’ dilemma games to identify the underlying motivations behind instrumental reciprocity, that is, reciprocation of cooperation only if there is future interaction. Importantly, we designed the games so that instrumental reciprocity is a mistake for payoff-maximizing individuals irrespective of their beliefs. We find that, despite the fact that instrumental reciprocity is suboptimal, it is one of the most frequently used cooperative strategies. Moreover, although the use of instrumental reciprocity is sensitive to the costs of deviating from the payoff-maximizing strategy, these costs alone cannot explain the high frequency with which subjects choose to reciprocate instrumentally.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Instrumental reciprocity as an error' Description:'We study the strategies used by experimental subjects in repeated sequential prisoners’ dilemma games to identify the underlying motivations behind instrumental reciprocity, that is, reciprocation of cooperation only if there is future interaction. Importantly, we designed the games so that instrumental reciprocity is a mistake for payoff-maximizing individuals irrespective of their beliefs. We find that, despite the fact that instrumental reciprocity is suboptimal, it is one of the most frequently used cooperative strategies. Moreover, although the use of instrumental reciprocity is sensitive to the costs of deviating from the payoff-maximizing strategy, these costs alone cannot explain the high frequency with which subjects choose to reciprocate instrumentally.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study the strategies used by experimental subjects in repeated sequential prisoners’ dilemma games to identify the underlying motivations behind instrumental reciprocity, that is, reciprocation of cooperation only if there is future interaction. Importantly, we designed the games so that instrumental reciprocity is a mistake for payoff-maximizing individuals irrespective of their beliefs. We find that, despite the fact that instrumental reciprocity is suboptimal, it is one of the most frequently used cooperative strategies. Moreover, although the use of instrumental reciprocity is sensitive to the costs of deviating from the payoff-maximizing strategy, these costs alone cannot explain the high frequency with which subjects choose to reciprocate instrumentally.","Subject":"Business and Management","Keywords":"Tilburg University"},{"pid":"doi:10.34894/ELVF0J","Title":"Category characteristics for IRI Marketing Science Dataset used in: How well does consumer-based brand equity align with sales-based brand equity and marketing-mix response?, Journal of Marketing (2017)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Category characteristics for IRI Marketing Science Dataset used in: How well does consumer-based brand equity align with sales-based brand equity and marketing-mix response?, Journal of Marketing (2017)' Description:'Category characteristics survey for the IRI Marketing Science dataset (Bronnenberg, Kruger, and Mela 2008), collected by Datta, Ailawadi, and Van Heerde (2017) on Amazon Mechanical Turk (May 2016) to measure the following category characteristics: (1) Hedonic nature of category, (2) Functional / performance risk of category, (3) Social value / social demonstrance of category, (4) Category involvement, (5) Utilitarian nature of category.For details on data collection and constructs, see codebook (PDF/docx).' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Category characteristics; Grocery; IRI Marketing Science; Retailing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Category characteristics for IRI Marketing Science Dataset used in: How well does consumer-based brand equity align with sales-based brand equity and marketing-mix response?, Journal of Marketing (2017)' Description:'Category characteristics survey for the IRI Marketing Science dataset (Bronnenberg, Kruger, and Mela 2008), collected by Datta, Ailawadi, and Van Heerde (2017) on Amazon Mechanical Turk (May 2016) to measure the following category characteristics: (1) Hedonic nature of category, (2) Functional / performance risk of category, (3) Social value / social demonstrance of category, (4) Category involvement, (5) Utilitarian nature of category.For details on data collection and constructs, see codebook (PDF/docx).' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Category characteristics survey for the IRI Marketing Science dataset (Bronnenberg, Kruger, and Mela 2008), collected by Datta, Ailawadi, and Van Heerde (2017) on Amazon Mechanical Turk (May 2016) to measure the following category characteristics: (1) Hedonic nature of category, (2) Functional / performance risk of category, (3) Social value / social demonstrance of category, (4) Category involvement, (5) Utilitarian nature of category.For details on data collection and constructs, see codebook (PDF/docx).","Subject":"Business and Management","Keywords":"Category characteristics; Grocery; IRI Marketing Science; Retailing"},{"pid":"doi:10.34894/EVPJTY","Title":"Replication Package for: Cross-National Differences in Market Response: Line-Length, Price, and Distribution Elasticities in Fourteen Indo-Pacific Rim Economies","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Package for: Cross-National Differences in Market Response: Line-Length, Price, and Distribution Elasticities in Fourteen Indo-Pacific Rim Economies' Description:'Replication Package for 'Cross-National Differences in Market Response: Line-Length, Price, and Distribution Elasticities in Fourteen Indo-Pacific Rim Economies' (available at https://doi.org/10.1177/00222437211058102). For more information about the replication package see also the following Github repository: https://github.com/hannesdatta/marketingmix-journal-of-marketing-research.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Business; Culture; Distribution; Emerging economies; Emerging markets; Emperical generalizations; Marketing-mix elasticities; Pricing; Product; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Package for: Cross-National Differences in Market Response: Line-Length, Price, and Distribution Elasticities in Fourteen Indo-Pacific Rim Economies' Description:'Replication Package for 'Cross-National Differences in Market Response: Line-Length, Price, and Distribution Elasticities in Fourteen Indo-Pacific Rim Economies' (available at https://doi.org/10.1177/00222437211058102). For more information about the replication package see also the following Github repository: https://github.com/hannesdatta/marketingmix-journal-of-marketing-research.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Package for 'Cross-National Differences in Market Response: Line-Length, Price, and Distribution Elasticities in Fourteen Indo-Pacific Rim Economies' (available at https://doi.org/10.1177/00222437211058102). For more information about the replication package see also the following Github repository: https://github.com/hannesdatta/marketingmix-journal-of-marketing-research.","Subject":"Business and Management","Keywords":"Business; Culture; Distribution; Emerging economies; Emerging markets; Emperical generalizations; Marketing-mix elasticities; Pricing; Product; Tilburg University"},{"pid":"doi:10.34894/EZHL5N","Title":"Modular healthcare provision for people with a complex condition","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Modular healthcare provision for people with a complex condition' Description:'This is the dataset for the qualitative study 'Providing person-centered care for patients with complex healthcare needs: A qualitative study' as published in PLoS ONE.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economics; Health service research; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Modular healthcare provision for people with a complex condition' Description:'This is the dataset for the qualitative study 'Providing person-centered care for patients with complex healthcare needs: A qualitative study' as published in PLoS ONE.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the dataset for the qualitative study 'Providing person-centered care for patients with complex healthcare needs: A qualitative study' as published in PLoS ONE.","Subject":"Business and Management","Keywords":"Economics; Health service research; Tilburg University"},{"pid":"doi:10.34894/GYCFQH","Title":"Replication Data for: Ordering Behavior and the Impact of Allocation Mechanisms in an Integrated Distribution System","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Ordering Behavior and the Impact of Allocation Mechanisms in an Integrated Distribution System' Description:'Data from experiments regarding ordering behavior under different allocation mechanisms. The data files are non-accessible, as the data was collected with the permission of the subjects to be used for this study only. The files 'Data Report.pdf' and 'Metadata and data collection.pdf' are openly available.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Allocation rules; Behavioral Operations; Experiment; Supply Chain Management; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Ordering Behavior and the Impact of Allocation Mechanisms in an Integrated Distribution System' Description:'Data from experiments regarding ordering behavior under different allocation mechanisms. The data files are non-accessible, as the data was collected with the permission of the subjects to be used for this study only. The files 'Data Report.pdf' and 'Metadata and data collection.pdf' are openly available.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data from experiments regarding ordering behavior under different allocation mechanisms. The data files are non-accessible, as the data was collected with the permission of the subjects to be used for this study only. The files 'Data Report.pdf' and 'Metadata and data collection.pdf' are openly available.","Subject":"Business and Management","Keywords":"Allocation rules; Behavioral Operations; Experiment; Supply Chain Management; Tilburg University"},{"pid":"doi:10.34894/HCCJ8J","Title":"The moderating effects of age and gender on the relationship between culture and uncertainty avoidance","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The moderating effects of age and gender on the relationship between culture and uncertainty avoidance' Description:'This study investigates uncertainty avoidance of ethnic groups differentiated by age and gender. A total of 5,126 respondents, including 11 different ethnic groups (from Europe and Asia), participated in an online survey. The findings support that women were more uncertainty avoidant than men in five ethnic groups, namely, Bulgarian, French, Dutch, Japanese, and Chinese. The opposite was seen for the Spanish and Vietnamese ethnic groups in which the women were more uncertainty tolerant. These gender differences were independent of age. The study points out the importance of self-categorization as an indicator of ethnic groups. This type of ethnic identification is related to the commonly used cultural dimension of uncertainty avoidance.' Subject:' Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cross-cultural; Culture; Ethnic Group; Hofstede; Humanities; Tilburg University; Uncertainty Avoidance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The moderating effects of age and gender on the relationship between culture and uncertainty avoidance' Description:'This study investigates uncertainty avoidance of ethnic groups differentiated by age and gender. A total of 5,126 respondents, including 11 different ethnic groups (from Europe and Asia), participated in an online survey. The findings support that women were more uncertainty avoidant than men in five ethnic groups, namely, Bulgarian, French, Dutch, Japanese, and Chinese. The opposite was seen for the Spanish and Vietnamese ethnic groups in which the women were more uncertainty tolerant. These gender differences were independent of age. The study points out the importance of self-categorization as an indicator of ethnic groups. This type of ethnic identification is related to the commonly used cultural dimension of uncertainty avoidance.' Subject:'Arts and Humanities; Business and Management; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study investigates uncertainty avoidance of ethnic groups differentiated by age and gender. A total of 5,126 respondents, including 11 different ethnic groups (from Europe and Asia), participated in an online survey. The findings support that women were more uncertainty avoidant than men in five ethnic groups, namely, Bulgarian, French, Dutch, Japanese, and Chinese. The opposite was seen for the Spanish and Vietnamese ethnic groups in which the women were more uncertainty tolerant. These gender differences were independent of age. The study points out the importance of self-categorization as an indicator of ethnic groups. This type of ethnic identification is related to the commonly used cultural dimension of uncertainty avoidance.","Subject":" Business and Management","Keywords":"Cross-cultural; Culture; Ethnic Group; Hofstede; Humanities; Tilburg University; Uncertainty Avoidance"},{"pid":"doi:10.34894/HFU7R4","Title":"COVID-19 impact well-being hospital staff","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'COVID-19 impact well-being hospital staff' Description:'Datasets related to the ZonMW funded research project 'COVID-19 impact well-being hospital staff'.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Covid-19; Hospital staff; Well-being+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'COVID-19 impact well-being hospital staff' Description:'Datasets related to the ZonMW funded research project 'COVID-19 impact well-being hospital staff'.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Datasets related to the ZonMW funded research project 'COVID-19 impact well-being hospital staff'.","Subject":"Business and Management","Keywords":"Covid-19; Hospital staff; Well-being"},{"pid":"doi:10.34894/HUXBF1","Title":"Replication Data for: A note on testing guilt aversion","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A note on testing guilt aversion' Description:'We compare three approaches to test for guilt aversion in two economic experiments. The first approach elicits second-order beliefs using self-reports. The second approach discloses first-order beliefs of matched players to decision makers, which are taken as exogenous second-order beliefs of decision makers. The third approach lets decision makers make choices conditional on a sequence of possible first-order beliefs of matched players. We find that the first and third approach generate similar results, both qualitatively and quantitatively. The second approach, however, generates significantly higher levels of `kindness' for low levels of beliefs: at a second-order belief of zero, the probability of choosing the `kind' action is between 43 and 65 percentage points higher than with the other approaches.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economics; Elicitation method; Guilt aversion; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A note on testing guilt aversion' Description:'We compare three approaches to test for guilt aversion in two economic experiments. The first approach elicits second-order beliefs using self-reports. The second approach discloses first-order beliefs of matched players to decision makers, which are taken as exogenous second-order beliefs of decision makers. The third approach lets decision makers make choices conditional on a sequence of possible first-order beliefs of matched players. We find that the first and third approach generate similar results, both qualitatively and quantitatively. The second approach, however, generates significantly higher levels of `kindness' for low levels of beliefs: at a second-order belief of zero, the probability of choosing the `kind' action is between 43 and 65 percentage points higher than with the other approaches.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We compare three approaches to test for guilt aversion in two economic experiments. The first approach elicits second-order beliefs using self-reports. The second approach discloses first-order beliefs of matched players to decision makers, which are taken as exogenous second-order beliefs of decision makers. The third approach lets decision makers make choices conditional on a sequence of possible first-order beliefs of matched players. We find that the first and third approach generate similar results, both qualitatively and quantitatively. The second approach, however, generates significantly higher levels of `kindness' for low levels of beliefs: at a second-order belief of zero, the probability of choosing the `kind' action is between 43 and 65 percentage points higher than with the other approaches.","Subject":"Business and Management","Keywords":"Economics; Elicitation method; Guilt aversion; Tilburg University"},{"pid":"doi:10.34894/LEPSB9","Title":"Data from Experiment on Self-Control and Overpricing","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data from Experiment on Self-Control and Overpricing' Description:'Data and replication files for experiment that investigates how a lack of self-control influences asset market prices.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economics; Experiment; Self-Control; Tilburg School of Economics and Management; Tilburg University; Trading Behavior+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data from Experiment on Self-Control and Overpricing' Description:'Data and replication files for experiment that investigates how a lack of self-control influences asset market prices.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data and replication files for experiment that investigates how a lack of self-control influences asset market prices.","Subject":"Business and Management","Keywords":"Economics; Experiment; Self-Control; Tilburg School of Economics and Management; Tilburg University; Trading Behavior"},{"pid":"doi:10.34894/LMLXOC","Title":"Simulation for Relationship Spirals","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Simulation for Relationship Spirals' Description:'A computational model is devised to simulate the vicious and virtuous cycles of IT outsourcing relationship spirals.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Action research; Collaborative service design (CSD); Combined-method approach; Inter-organisational collaboration; IT outsourcing (ITO); Relationship dynamics; System dynamics; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Simulation for Relationship Spirals' Description:'A computational model is devised to simulate the vicious and virtuous cycles of IT outsourcing relationship spirals.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A computational model is devised to simulate the vicious and virtuous cycles of IT outsourcing relationship spirals.","Subject":"Business and Management","Keywords":"Action research; Collaborative service design (CSD); Combined-method approach; Inter-organisational collaboration; IT outsourcing (ITO); Relationship dynamics; System dynamics; Tilburg University"},{"pid":"doi:10.34894/MPPWLR","Title":"Evidence-based Management Decision-Making Process in Hospital Settings","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Evidence-based Management Decision-Making Process in Hospital Settings' Description:'Evidence-based Management (EBMgt) refers to using the bestavailable evidence when making managerial decisions. There islimited knowledge about the EBMgt process in different contexts.As such, the aim of the study is to build a grounded model that canhelp us better understand the evidence-based decision-makingprocess and its contextual nuances within hospital settings. Weexplored the following three research questions among managersin hospital settings: (1) How is the EBMgt process manifested inpractice? (2) What are the sources of evidence in EBMgt? (3) Whatcontextual factors influence the process of EBMgt? To answerthese questions, we collected qualitative data from executivemanagers working in multiple hospitals across Lebanon and used itto develop a grounded model of the EBMgt process. We collecteddata through interviews and the critical incident technique.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Evidence-based management; Organizational decision-making; Organizational psychology; Social Science; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Evidence-based Management Decision-Making Process in Hospital Settings' Description:'Evidence-based Management (EBMgt) refers to using the bestavailable evidence when making managerial decisions. There islimited knowledge about the EBMgt process in different contexts.As such, the aim of the study is to build a grounded model that canhelp us better understand the evidence-based decision-makingprocess and its contextual nuances within hospital settings. Weexplored the following three research questions among managersin hospital settings: (1) How is the EBMgt process manifested inpractice? (2) What are the sources of evidence in EBMgt? (3) Whatcontextual factors influence the process of EBMgt? To answerthese questions, we collected qualitative data from executivemanagers working in multiple hospitals across Lebanon and used itto develop a grounded model of the EBMgt process. We collecteddata through interviews and the critical incident technique.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Evidence-based Management (EBMgt) refers to using the bestavailable evidence when making managerial decisions. There islimited knowledge about the EBMgt process in different contexts.As such, the aim of the study is to build a grounded model that canhelp us better understand the evidence-based decision-makingprocess and its contextual nuances within hospital settings. Weexplored the following three research questions among managersin hospital settings: (1) How is the EBMgt process manifested inpractice? (2) What are the sources of evidence in EBMgt? (3) Whatcontextual factors influence the process of EBMgt? To answerthese questions, we collected qualitative data from executivemanagers working in multiple hospitals across Lebanon and used itto develop a grounded model of the EBMgt process. We collecteddata through interviews and the critical incident technique.","Subject":"Business and Management","Keywords":"Evidence-based management; Organizational decision-making; Organizational psychology; Social Science; Tilburg University"},{"pid":"doi:10.34894/N9J1WE","Title":"Estimating and imputing missing tax loss carryforward data to reduce measurement error","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Estimating and imputing missing tax loss carryforward data to reduce measurement error' Description:'On this page, you find the imputed tax loss carryforward (TLCF) values based on the algorithm presented in Max, Wielhouwer & Wiersma (in press). Estimating and imputing missing tax loss carryforward data to reduce measurement error. European Accounting Review. Note that the dataset contains only the imputations for the missing values on Compustat. If the Compustat TLCF is available, we have not included it in the dataset here.We download all observations from Compustat from the period 1982 up until the most recent year (~420,000 observations). Missing values on the input variables for the Shevlin (1990) taxable income measure are replaced by zero. We drop firms from the sample if years are missing in their time series (~2,500 observations).Note: We seek to update the dataset each year with the latest imputations, so pay attention to the 'Versions' tab of this dataset. Each update will be posted in a new version.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Compustat; imputation; tax loss carryforward; TLCF+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Estimating and imputing missing tax loss carryforward data to reduce measurement error' Description:'On this page, you find the imputed tax loss carryforward (TLCF) values based on the algorithm presented in Max, Wielhouwer & Wiersma (in press). Estimating and imputing missing tax loss carryforward data to reduce measurement error. European Accounting Review. Note that the dataset contains only the imputations for the missing values on Compustat. If the Compustat TLCF is available, we have not included it in the dataset here.We download all observations from Compustat from the period 1982 up until the most recent year (~420,000 observations). Missing values on the input variables for the Shevlin (1990) taxable income measure are replaced by zero. We drop firms from the sample if years are missing in their time series (~2,500 observations).Note: We seek to update the dataset each year with the latest imputations, so pay attention to the 'Versions' tab of this dataset. Each update will be posted in a new version.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"On this page, you find the imputed tax loss carryforward (TLCF) values based on the algorithm presented in Max, Wielhouwer & Wiersma (in press). Estimating and imputing missing tax loss carryforward data to reduce measurement error. European Accounting Review. Note that the dataset contains only the imputations for the missing values on Compustat. If the Compustat TLCF is available, we have not included it in the dataset here.We download all observations from Compustat from the period 1982 up until the most recent year (~420,000 observations). Missing values on the input variables for the Shevlin (1990) taxable income measure are replaced by zero. We drop firms from the sample if years are missing in their time series (~2,500 observations).Note: We seek to update the dataset each year with the latest imputations, so pay attention to the 'Versions' tab of this dataset. Each update will be posted in a new version.","Subject":"Business and Management","Keywords":"Compustat; imputation; tax loss carryforward; TLCF"},{"pid":"doi:10.34894/NBQSAF","Title":"Value co-creation through actors engagement for the implementation of circular economy solutions in the chemical sector","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Value co-creation through actors engagement for the implementation of circular economy solutions in the chemical sector' Description:'Conference paper published in the 6th International Conference on New Business Models. Proceedings available at: http://hh.diva-portal.org/smash/get/diva2:1569643/FULLTEXT02.pdf (urn:nbn:se:hh:diva-44872)' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Circular Economy Business Modelling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Value co-creation through actors engagement for the implementation of circular economy solutions in the chemical sector' Description:'Conference paper published in the 6th International Conference on New Business Models. Proceedings available at: http://hh.diva-portal.org/smash/get/diva2:1569643/FULLTEXT02.pdf (urn:nbn:se:hh:diva-44872)' Subject:'Business and Management; Engineering; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Conference paper published in the 6th International Conference on New Business Models. Proceedings available at: http://hh.diva-portal.org/smash/get/diva2:1569643/FULLTEXT02.pdf (urn:nbn:se:hh:diva-44872)","Subject":"Business and Management","Keywords":"Circular Economy Business Modelling"},{"pid":"doi:10.34894/NEKK2K","Title":"Replication Data for: Heterogeneous guilt sensitivities and incentive effects","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Heterogeneous guilt sensitivities and incentive effects' Description:'Psychological games of guilt aversion assume that preferences depend on (beliefs about) beliefs and on the guilt sensitivity of the decision-maker. We present an experiment designed to measure guilt sensitivities at the individual level for various stake sizes. We use the data to estimate a structural choice model that allows for heterogeneity, and permits that guilt sensitivities depend on stake size. We find substantial heterogeneity of guilt sensitivities in our population, with 60% of decision makers displaying stake-dependent guilt sensitivity. For these decision makers, we find that average guilt sensitivities are significantly different from zero for all stakes considered, while significantly decreasing with the level of stakes.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economics; Guilt sensitivity; Heterogeneity; Psychological game theory; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Heterogeneous guilt sensitivities and incentive effects' Description:'Psychological games of guilt aversion assume that preferences depend on (beliefs about) beliefs and on the guilt sensitivity of the decision-maker. We present an experiment designed to measure guilt sensitivities at the individual level for various stake sizes. We use the data to estimate a structural choice model that allows for heterogeneity, and permits that guilt sensitivities depend on stake size. We find substantial heterogeneity of guilt sensitivities in our population, with 60% of decision makers displaying stake-dependent guilt sensitivity. For these decision makers, we find that average guilt sensitivities are significantly different from zero for all stakes considered, while significantly decreasing with the level of stakes.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Psychological games of guilt aversion assume that preferences depend on (beliefs about) beliefs and on the guilt sensitivity of the decision-maker. We present an experiment designed to measure guilt sensitivities at the individual level for various stake sizes. We use the data to estimate a structural choice model that allows for heterogeneity, and permits that guilt sensitivities depend on stake size. We find substantial heterogeneity of guilt sensitivities in our population, with 60% of decision makers displaying stake-dependent guilt sensitivity. For these decision makers, we find that average guilt sensitivities are significantly different from zero for all stakes considered, while significantly decreasing with the level of stakes.","Subject":"Business and Management","Keywords":"Economics; Guilt sensitivity; Heterogeneity; Psychological game theory; Tilburg University"},{"pid":"doi:10.34894/NODI0Q","Title":"Catalogue of Hospitals’ adaptations during the Covid-pandemic (ENG-NED)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Catalogue of Hospitals’ adaptations during the Covid-pandemic (ENG-NED)' Description:'This dataset contains a catalogue of the adaptations made by hospitals in the Netherlands during the first and second wave of the COVID-19 pandemic.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19 [C01.748.214]; COVID-19 [C08.730.214]+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Catalogue of Hospitals’ adaptations during the Covid-pandemic (ENG-NED)' Description:'This dataset contains a catalogue of the adaptations made by hospitals in the Netherlands during the first and second wave of the COVID-19 pandemic.' Subject:'Business and Management; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains a catalogue of the adaptations made by hospitals in the Netherlands during the first and second wave of the COVID-19 pandemic.","Subject":"Business and Management","Keywords":"COVID-19 [C01.748.214]; COVID-19 [C08.730.214]"},{"pid":"doi:10.34894/QCVO04","Title":"Replication Data for: What Drives Brands’ Price Response Metrics? An Empirical Examination of the Chinese Packaged Goods Industry","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: What Drives Brands’ Price Response Metrics? An Empirical Examination of the Chinese Packaged Goods Industry' Description:'Chinese household panel data 2011-2015 covering all CPG purchases, including support files barcode, shopcode, panelist (including information on age, household size, income, city (tier)).In the current study, we want to shed light on the role of brand price as a marketing mix instrument for consumer packaged goods (CPG) in a dynamic emerging market like China. Specifically, we intend to answer the following research questions: What is the relationship between a brand’s price and market share over time: How price sensitive are Chinese consumers for CPG products, and how do CPG sellers change price in response to a change in market share? Do these relations differ for the short versus long term? What brand and category contexts moderate these relations? To empirically address these issues, we aim to conduct a comprehensive study on the link between prices and market shares across hundreds of brands in a large set of packaged goods over a five-year period.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Business; China; Clout; CPG; Economics; Emerging Markets; Pricing; Tilburg University; UNC Kenan-Flagler; Universiteit van Amsterdam; Vulnerability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: What Drives Brands’ Price Response Metrics? An Empirical Examination of the Chinese Packaged Goods Industry' Description:'Chinese household panel data 2011-2015 covering all CPG purchases, including support files barcode, shopcode, panelist (including information on age, household size, income, city (tier)).In the current study, we want to shed light on the role of brand price as a marketing mix instrument for consumer packaged goods (CPG) in a dynamic emerging market like China. Specifically, we intend to answer the following research questions: What is the relationship between a brand’s price and market share over time: How price sensitive are Chinese consumers for CPG products, and how do CPG sellers change price in response to a change in market share? Do these relations differ for the short versus long term? What brand and category contexts moderate these relations? To empirically address these issues, we aim to conduct a comprehensive study on the link between prices and market shares across hundreds of brands in a large set of packaged goods over a five-year period.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Chinese household panel data 2011-2015 covering all CPG purchases, including support files barcode, shopcode, panelist (including information on age, household size, income, city (tier)).In the current study, we want to shed light on the role of brand price as a marketing mix instrument for consumer packaged goods (CPG) in a dynamic emerging market like China. Specifically, we intend to answer the following research questions: What is the relationship between a brand’s price and market share over time: How price sensitive are Chinese consumers for CPG products, and how do CPG sellers change price in response to a change in market share? Do these relations differ for the short versus long term? What brand and category contexts moderate these relations? To empirically address these issues, we aim to conduct a comprehensive study on the link between prices and market shares across hundreds of brands in a large set of packaged goods over a five-year period.","Subject":"Business and Management","Keywords":"Business; China; Clout; CPG; Economics; Emerging Markets; Pricing; Tilburg University; UNC Kenan-Flagler; Universiteit van Amsterdam; Vulnerability"},{"pid":"doi:10.34894/QZTTU5","Title":"Hierarchy, Before action reviews, and Information sharing","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hierarchy, Before action reviews, and Information sharing' Description:'Data gathered from an experiment in which auditors of a Dutch Big4 firm performed a hidden profile task. Respondents were randomly assigned to teams of five in which they performed a task related to their current function level within the firm. Each rank was provided several information items of varying importance. The teams had to combine the different information items to formulate a well-supported decision. The experimental task was similar for all conditions. Manipulations were made across two dimensions, creating three separate dimensions. in the control setting, no manipulations were performed. in the BAR condition, respondent teams were subjugated to a before action review before starting the experimental task. In the Disruption condition, respondents were subjugated to a BAR before their task, and in addition to the BAR condition, received new updated information right before completing the task. In addition to the outcomes of the experimental task, the dataset also contains data on Team learning ability, psychological safety, team adaptability, team reflexivity, confidence, auditing experience, and audit specialization.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Hierarchy; Information Sharing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hierarchy, Before action reviews, and Information sharing' Description:'Data gathered from an experiment in which auditors of a Dutch Big4 firm performed a hidden profile task. Respondents were randomly assigned to teams of five in which they performed a task related to their current function level within the firm. Each rank was provided several information items of varying importance. The teams had to combine the different information items to formulate a well-supported decision. The experimental task was similar for all conditions. Manipulations were made across two dimensions, creating three separate dimensions. in the control setting, no manipulations were performed. in the BAR condition, respondent teams were subjugated to a before action review before starting the experimental task. In the Disruption condition, respondents were subjugated to a BAR before their task, and in addition to the BAR condition, received new updated information right before completing the task. In addition to the outcomes of the experimental task, the dataset also contains data on Team learning ability, psychological safety, team adaptability, team reflexivity, confidence, auditing experience, and audit specialization.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data gathered from an experiment in which auditors of a Dutch Big4 firm performed a hidden profile task. Respondents were randomly assigned to teams of five in which they performed a task related to their current function level within the firm. Each rank was provided several information items of varying importance. The teams had to combine the different information items to formulate a well-supported decision. The experimental task was similar for all conditions. Manipulations were made across two dimensions, creating three separate dimensions. in the control setting, no manipulations were performed. in the BAR condition, respondent teams were subjugated to a before action review before starting the experimental task. In the Disruption condition, respondents were subjugated to a BAR before their task, and in addition to the BAR condition, received new updated information right before completing the task. In addition to the outcomes of the experimental task, the dataset also contains data on Team learning ability, psychological safety, team adaptability, team reflexivity, confidence, auditing experience, and audit specialization.","Subject":"Business and Management","Keywords":"Hierarchy; Information Sharing"},{"pid":"doi:10.34894/R7R4FS","Title":"Replication Data for: From Tiny Seeds Grow Mighty Trees: Dynamics Of Collaborative Problem-Solving Through Crowdsourcing For Tackling Grand Challenges","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: From Tiny Seeds Grow Mighty Trees: Dynamics Of Collaborative Problem-Solving Through Crowdsourcing For Tackling Grand Challenges' Description:'Replication Data for: From Tiny Seeds Grow Mighty Trees: Dynamics Of Collaborative Problem-Solving Through Crowdsourcing For Tackling Grand Challenges' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {grand challenges; collaborative crowdsourcing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: From Tiny Seeds Grow Mighty Trees: Dynamics Of Collaborative Problem-Solving Through Crowdsourcing For Tackling Grand Challenges' Description:'Replication Data for: From Tiny Seeds Grow Mighty Trees: Dynamics Of Collaborative Problem-Solving Through Crowdsourcing For Tackling Grand Challenges' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for: From Tiny Seeds Grow Mighty Trees: Dynamics Of Collaborative Problem-Solving Through Crowdsourcing For Tackling Grand Challenges","Subject":"Business and Management","Keywords":"grand challenges; collaborative crowdsourcing"},{"pid":"doi:10.34894/RGZNFE","Title":"Database with measurements of national and regional automation in Europe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Database with measurements of national and regional automation in Europe' Description:'This dataset contains demographic, economic and automation data for Denmark, Finland, Spain, Sweden and the United KingdomThe description of the data sources for country specific data and metrics is found for each country in the tabs with the country namesThe data are found in the tabs with the name 'COUNTRY - Panel'The description of the data that are COMMON for all countries and relate to Economic and Automation inputs are included in the tab with the name 'IFR - EUKLEMS'The data for robot adoption matched to country-industry level (EU KLEMS - IFR) is in the tab EUKLEMS_ROBOTS' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {automation; economic data+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Database with measurements of national and regional automation in Europe' Description:'This dataset contains demographic, economic and automation data for Denmark, Finland, Spain, Sweden and the United KingdomThe description of the data sources for country specific data and metrics is found for each country in the tabs with the country namesThe data are found in the tabs with the name 'COUNTRY - Panel'The description of the data that are COMMON for all countries and relate to Economic and Automation inputs are included in the tab with the name 'IFR - EUKLEMS'The data for robot adoption matched to country-industry level (EU KLEMS - IFR) is in the tab EUKLEMS_ROBOTS' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains demographic, economic and automation data for Denmark, Finland, Spain, Sweden and the United KingdomThe description of the data sources for country specific data and metrics is found for each country in the tabs with the country namesThe data are found in the tabs with the name 'COUNTRY - Panel'The description of the data that are COMMON for all countries and relate to Economic and Automation inputs are included in the tab with the name 'IFR - EUKLEMS'The data for robot adoption matched to country-industry level (EU KLEMS - IFR) is in the tab EUKLEMS_ROBOTS","Subject":"Business and Management","Keywords":"automation; economic data"},{"pid":"doi:10.34894/RTFVYH","Title":"Replication Package for: ESG did not immunize stocks during the COVID-19 crisis, but investments in intangible assets did","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Package for: ESG did not immunize stocks during the COVID-19 crisis, but investments in intangible assets did' Description:'This replication package contains all code, documentation and metadata for the study 'ESG did not immunize stocks during the COVID-19 crisis, but investments in intangible assets did', as published in the Journal of Business Finance & Accounting. Due to contractual limitations, the data are stored in a secure location at Tilburg University and cannot be shared.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Corporate Social Responsibility; COVID-19; Economic crisis; ESG; Greenwashing; Intangible assets; Share price resilience; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Package for: ESG did not immunize stocks during the COVID-19 crisis, but investments in intangible assets did' Description:'This replication package contains all code, documentation and metadata for the study 'ESG did not immunize stocks during the COVID-19 crisis, but investments in intangible assets did', as published in the Journal of Business Finance & Accounting. Due to contractual limitations, the data are stored in a secure location at Tilburg University and cannot be shared.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This replication package contains all code, documentation and metadata for the study 'ESG did not immunize stocks during the COVID-19 crisis, but investments in intangible assets did', as published in the Journal of Business Finance & Accounting. Due to contractual limitations, the data are stored in a secure location at Tilburg University and cannot be shared.","Subject":"Business and Management","Keywords":"Corporate Social Responsibility; COVID-19; Economic crisis; ESG; Greenwashing; Intangible assets; Share price resilience; Tilburg University"},{"pid":"doi:10.34894/RY1MOO","Title":"Are Architecture Principles Effective?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Are Architecture Principles Effective?' Description:'PhD Research related to the use of architecture principles and the contribution to IS project success.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Information System, IS project success, Architecture Principle,+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Are Architecture Principles Effective?' Description:'PhD Research related to the use of architecture principles and the contribution to IS project success.' Subject:'Business and Management; Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"PhD Research related to the use of architecture principles and the contribution to IS project success.","Subject":"Business and Management","Keywords":"Information System, IS project success, Architecture Principle,"},{"pid":"doi:10.34894/TBLFYZ","Title":"Data on logistics and consumer behavior Sao Paulo City 2019","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data on logistics and consumer behavior Sao Paulo City 2019' Description:'This research aims to answer the following questions:a)What are BOP (Base of the Pyramid) and HIC (High Income Consumers) buying habits when they buy products at a local store?b)What are the characteristics of receiving FMCG goods at small retailers in both regions?c)What are the main problems that make it difficult for carriers to deliver goods in the BOP district?' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Developing countries; Economics; Federal University of São Carlos; Last-mile distribution; Megacities; Tilburg University; Urban logistics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data on logistics and consumer behavior Sao Paulo City 2019' Description:'This research aims to answer the following questions:a)What are BOP (Base of the Pyramid) and HIC (High Income Consumers) buying habits when they buy products at a local store?b)What are the characteristics of receiving FMCG goods at small retailers in both regions?c)What are the main problems that make it difficult for carriers to deliver goods in the BOP district?' Subject:'Business and Management; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This research aims to answer the following questions:a)What are BOP (Base of the Pyramid) and HIC (High Income Consumers) buying habits when they buy products at a local store?b)What are the characteristics of receiving FMCG goods at small retailers in both regions?c)What are the main problems that make it difficult for carriers to deliver goods in the BOP district?","Subject":"Business and Management","Keywords":"Developing countries; Economics; Federal University of São Carlos; Last-mile distribution; Megacities; Tilburg University; Urban logistics"},{"pid":"doi:10.34894/TJE0D0","Title":"Stock Values and Earnings Call Transcripts: a Sentiment Analysis Dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stock Values and Earnings Call Transcripts: a Sentiment Analysis Dataset' Description:'The dataset reports a collection of earnings call transcripts, the related stock prices, and the sector index In terms of volume, there is a total of 188 transcripts, 11970 stock prices, and 1196 sector index values. Furthermore, all of these data originated in the period 2016-2020 and are related to the NASDAQ stock market. Furthermore, the data collection was made possible by Yahoo Finance and Thomson Reuters Eikon. Specifically, Yahoo Finance enabled the search for stock values and Thomson Reuters Eikon provided the earnings call transcripts. Lastly, the dataset can be used as a benchmark for the evaluation of several NLP techniques to understand their potential for financial applications. Moreover, it is also possible to expand the dataset by extending the period in which the data originated following a similar procedure.Contact at Tilburg University: Francesco Lelli ' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Dataset; Earning calls; Financial data; NLP; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stock Values and Earnings Call Transcripts: a Sentiment Analysis Dataset' Description:'The dataset reports a collection of earnings call transcripts, the related stock prices, and the sector index In terms of volume, there is a total of 188 transcripts, 11970 stock prices, and 1196 sector index values. Furthermore, all of these data originated in the period 2016-2020 and are related to the NASDAQ stock market. Furthermore, the data collection was made possible by Yahoo Finance and Thomson Reuters Eikon. Specifically, Yahoo Finance enabled the search for stock values and Thomson Reuters Eikon provided the earnings call transcripts. Lastly, the dataset can be used as a benchmark for the evaluation of several NLP techniques to understand their potential for financial applications. Moreover, it is also possible to expand the dataset by extending the period in which the data originated following a similar procedure.Contact at Tilburg University: Francesco Lelli ' Subject:'Business and Management; Computer and Information Science; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset reports a collection of earnings call transcripts, the related stock prices, and the sector index In terms of volume, there is a total of 188 transcripts, 11970 stock prices, and 1196 sector index values. Furthermore, all of these data originated in the period 2016-2020 and are related to the NASDAQ stock market. Furthermore, the data collection was made possible by Yahoo Finance and Thomson Reuters Eikon. Specifically, Yahoo Finance enabled the search for stock values and Thomson Reuters Eikon provided the earnings call transcripts. Lastly, the dataset can be used as a benchmark for the evaluation of several NLP techniques to understand their potential for financial applications. Moreover, it is also possible to expand the dataset by extending the period in which the data originated following a similar procedure.Contact at Tilburg University: Francesco Lelli ","Subject":"Business and Management","Keywords":"Dataset; Earning calls; Financial data; NLP; Tilburg University"},{"pid":"doi:10.34894/TTY2Y3","Title":"Greed and adolescent financial behavior [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Greed and adolescent financial behavior [Dataset]' Description:'Dataset on Greed and adolescent financial behavior' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Economics; Social Sciences; Tilburg University+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Greed and adolescent financial behavior [Dataset]' Description:'Dataset on Greed and adolescent financial behavior' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset on Greed and adolescent financial behavior","Subject":"Business and Management","Keywords":"Economics; Social Sciences; Tilburg University"},{"pid":"doi:10.34894/USREMD","Title":"Replication package for “Performance analysis of a drop-swap terminal to mitigate truck congestion at chemical sites”","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication package for “Performance analysis of a drop-swap terminal to mitigate truck congestion at chemical sites”' Description:'Code and dataset to determine an alternative solution to improve the flexibility of chemical sites by creating a drop-swap terminal adjacent to the site location.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chemical site; Containers; Drop-swap; Economics; Logistics; Semi-open queuing network; Tilburg University; Truck congestion; Universitas Gadjah Mada+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication package for “Performance analysis of a drop-swap terminal to mitigate truck congestion at chemical sites”' Description:'Code and dataset to determine an alternative solution to improve the flexibility of chemical sites by creating a drop-swap terminal adjacent to the site location.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Code and dataset to determine an alternative solution to improve the flexibility of chemical sites by creating a drop-swap terminal adjacent to the site location.","Subject":"Business and Management","Keywords":"Chemical site; Containers; Drop-swap; Economics; Logistics; Semi-open queuing network; Tilburg University; Truck congestion; Universitas Gadjah Mada"},{"pid":"doi:10.34894/VMQ6IG","Title":"Perceived over- and under-qualification and Organisational Citizenship behaviour and Counterproductive work behaviour","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Perceived over- and under-qualification and Organisational Citizenship behaviour and Counterproductive work behaviour' Description:'This dataset contains anonymized data on 296 participants in an online response panel. The dataset contains a range of background demographics and responses on multiple scales assessing over- and under-qualification, organizational citizenship behaviour, counterproductive work behaviour, organisational justice, psychological contract breach, and cynism.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Counterproductive work behaviour; Organisational citizenship behaviour; Perceived over- and under-qualification+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Perceived over- and under-qualification and Organisational Citizenship behaviour and Counterproductive work behaviour' Description:'This dataset contains anonymized data on 296 participants in an online response panel. The dataset contains a range of background demographics and responses on multiple scales assessing over- and under-qualification, organizational citizenship behaviour, counterproductive work behaviour, organisational justice, psychological contract breach, and cynism.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains anonymized data on 296 participants in an online response panel. The dataset contains a range of background demographics and responses on multiple scales assessing over- and under-qualification, organizational citizenship behaviour, counterproductive work behaviour, organisational justice, psychological contract breach, and cynism.","Subject":"Business and Management","Keywords":"Counterproductive work behaviour; Organisational citizenship behaviour; Perceived over- and under-qualification"},{"pid":"doi:10.34894/XBYD80","Title":"Inventory of the patents and publications of FP7 projects in the field of ICT","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Inventory of the patents and publications of FP7 projects in the field of ICT' Description:'The inventory includes data on 295 patents and 18,158 publications resulting from FP7 funded projects in the field of ICT (ICT theme within Cooperation Programme, and e-Infrastructures within Capacities Programme).The period covered is 2007 - 2013. Patents and publications have been reported by project coordinators responding to annual surveys carried out by the European Commission - DG CONNECT.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Innovation and Invention: Processes and Incentives; Management of Technological Innovation and R&D+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Inventory of the patents and publications of FP7 projects in the field of ICT' Description:'The inventory includes data on 295 patents and 18,158 publications resulting from FP7 funded projects in the field of ICT (ICT theme within Cooperation Programme, and e-Infrastructures within Capacities Programme).The period covered is 2007 - 2013. Patents and publications have been reported by project coordinators responding to annual surveys carried out by the European Commission - DG CONNECT.' Subject:'Business and Management; Computer and Information Science; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The inventory includes data on 295 patents and 18,158 publications resulting from FP7 funded projects in the field of ICT (ICT theme within Cooperation Programme, and e-Infrastructures within Capacities Programme).The period covered is 2007 - 2013. Patents and publications have been reported by project coordinators responding to annual surveys carried out by the European Commission - DG CONNECT.","Subject":"Business and Management","Keywords":"Innovation and Invention: Processes and Incentives; Management of Technological Innovation and R&D"},{"pid":"doi:10.34894/ZDCD5X","Title":"Replication Data for: ACCOMPLISSH","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ACCOMPLISSH' Description:'Accelerate co-creation by setting up a multi-actor platform for impact from Social Sciences and Humanities. The project will accomplish the challenge of creating an innovative valorisation concept that will strengthen the position and impact generation of SSH research and contribute to innovation for a variety of lead-users and end-users. Traditional valorisation approaches focus on linear processes: from academia to society. In order to bring valorisation to a higher level, all relevant actors need to cooperate in an equal setting: co-creation. Co-creation transcends boundaries, but it does not happen naturally. Therefore, the ACCOMPLISSH consortium, consisting of 14 universities from 12 countries, will actively involve the other partners from the so called Quadruple Helix (industry, governments and societal partners) within the project.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Co-creation; Innovation; Valorisation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ACCOMPLISSH' Description:'Accelerate co-creation by setting up a multi-actor platform for impact from Social Sciences and Humanities. The project will accomplish the challenge of creating an innovative valorisation concept that will strengthen the position and impact generation of SSH research and contribute to innovation for a variety of lead-users and end-users. Traditional valorisation approaches focus on linear processes: from academia to society. In order to bring valorisation to a higher level, all relevant actors need to cooperate in an equal setting: co-creation. Co-creation transcends boundaries, but it does not happen naturally. Therefore, the ACCOMPLISSH consortium, consisting of 14 universities from 12 countries, will actively involve the other partners from the so called Quadruple Helix (industry, governments and societal partners) within the project.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Accelerate co-creation by setting up a multi-actor platform for impact from Social Sciences and Humanities. The project will accomplish the challenge of creating an innovative valorisation concept that will strengthen the position and impact generation of SSH research and contribute to innovation for a variety of lead-users and end-users. Traditional valorisation approaches focus on linear processes: from academia to society. In order to bring valorisation to a higher level, all relevant actors need to cooperate in an equal setting: co-creation. Co-creation transcends boundaries, but it does not happen naturally. Therefore, the ACCOMPLISSH consortium, consisting of 14 universities from 12 countries, will actively involve the other partners from the so called Quadruple Helix (industry, governments and societal partners) within the project.","Subject":"Business and Management","Keywords":"Co-creation; Innovation; Valorisation"},{"pid":"doi:10.34894/ZXNEQ7","Title":"Replication Data for: 'Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia', Journal of International Economics","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia', Journal of International Economics' Description:'Replication Data for: 'Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia', Journal of International Economics, 2021' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Dutch disease, traded sector, natural resources, mining, labor intensity, Indonesia+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia', Journal of International Economics' Description:'Replication Data for: 'Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia', Journal of International Economics, 2021' Subject:'Business and Management; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for: 'Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia', Journal of International Economics, 2021","Subject":"Business and Management","Keywords":"Dutch disease, traded sector, natural resources, mining, labor intensity, Indonesia"},{"pid":"doi:10.7910/DVN/025MCQ","Title":"Internet Appendix B in Developing Emotional Intelligence Skills for E-Negotiations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Internet Appendix B in Developing Emotional Intelligence Skills for E-Negotiations' Description:'This is Internet Appendix B cited in the paper Developing Emotional Intelligence Skills for E-Negotiations' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {emotional intelligence, e-negotiation, electronic communication, soft skills+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Internet Appendix B in Developing Emotional Intelligence Skills for E-Negotiations' Description:'This is Internet Appendix B cited in the paper Developing Emotional Intelligence Skills for E-Negotiations' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is Internet Appendix B cited in the paper Developing Emotional Intelligence Skills for E-Negotiations","Subject":"Business and Management","Keywords":"emotional intelligence, e-negotiation, electronic communication, soft skills"},{"pid":"doi:10.7910/DVN/0MHXJL","Title":"Replication Data for: 'Building a state capacity index for municipal governments of Minas Gerais' published by RAC-Revista de Administração Contemporânea","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Building a state capacity index for municipal governments of Minas Gerais' published by RAC-Revista de Administração Contemporânea' Description:'Data from state capacity index (municipalities of State of Minas Gerais, Brazil) . Paper 'Building a state capacity index for municipal governments of Minas Gerais' published by RAC-Revista de Administração Contemporânea. Data are in SPSS (.sav) format.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Minas Gerais administrative structures; performance measures; state capacity; State Capacity Index+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Building a state capacity index for municipal governments of Minas Gerais' published by RAC-Revista de Administração Contemporânea' Description:'Data from state capacity index (municipalities of State of Minas Gerais, Brazil) . Paper 'Building a state capacity index for municipal governments of Minas Gerais' published by RAC-Revista de Administração Contemporânea. Data are in SPSS (.sav) format.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data from state capacity index (municipalities of State of Minas Gerais, Brazil) . Paper 'Building a state capacity index for municipal governments of Minas Gerais' published by RAC-Revista de Administração Contemporânea. Data are in SPSS (.sav) format.","Subject":"Business and Management","Keywords":"Minas Gerais administrative structures; performance measures; state capacity; State Capacity Index"},{"pid":"doi:10.7910/DVN/08HJGI","Title":"Negotiation Behaviors in 22 Cultures","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Negotiation Behaviors in 22 Cultures' Description:'The data represents negotiation behaviors and outcomes for 22 cultural groups. It is based on laboratory simulations involving more than 1000 businesspeople. The numbers in the database are all cultural group averages. The data were collected using Kelley's three-product buyer-seller negotiation simulation. Questionnaires were completed and 6 negotiators in each cultural group were videotaped.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {international business negotiations culture+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Negotiation Behaviors in 22 Cultures' Description:'The data represents negotiation behaviors and outcomes for 22 cultural groups. It is based on laboratory simulations involving more than 1000 businesspeople. The numbers in the database are all cultural group averages. The data were collected using Kelley's three-product buyer-seller negotiation simulation. Questionnaires were completed and 6 negotiators in each cultural group were videotaped.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data represents negotiation behaviors and outcomes for 22 cultural groups. It is based on laboratory simulations involving more than 1000 businesspeople. The numbers in the database are all cultural group averages. The data were collected using Kelley's three-product buyer-seller negotiation simulation. Questionnaires were completed and 6 negotiators in each cultural group were videotaped.","Subject":"Business and Management","Keywords":"international business negotiations culture"},{"pid":"doi:10.7910/DVN/0E7QSW","Title":"BMW Oslo Marathon 2016 Survey - Response Time Dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'BMW Oslo Marathon 2016 Survey - Response Time Dataset' Description:'Data on response time for the BMW Oslo Marathon 2016 Survey. The dataset contains 93 variables on 4146 responses to the survey. The variables include socio-demographic data, dummies for whether a question in the survey was answered or not, and the response time.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {response time latency survey web+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'BMW Oslo Marathon 2016 Survey - Response Time Dataset' Description:'Data on response time for the BMW Oslo Marathon 2016 Survey. The dataset contains 93 variables on 4146 responses to the survey. The variables include socio-demographic data, dummies for whether a question in the survey was answered or not, and the response time.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data on response time for the BMW Oslo Marathon 2016 Survey. The dataset contains 93 variables on 4146 responses to the survey. The variables include socio-demographic data, dummies for whether a question in the survey was answered or not, and the response time.","Subject":"Business and Management","Keywords":"response time latency survey web"},{"pid":"doi:10.7910/DVN/0IRS7Z","Title":"Replication Data for: The Finance Uncertainty Multiplier","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The Finance Uncertainty Multiplier' Description:'This is the replication package for 'The Finance Uncertainty Multiplier,' accepted in 2023 by the Journal of Political Economy.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cash Holdings; Employment; Equity Payout; Financial Frictions; Investment; Uncertainty+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The Finance Uncertainty Multiplier' Description:'This is the replication package for 'The Finance Uncertainty Multiplier,' accepted in 2023 by the Journal of Political Economy.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the replication package for 'The Finance Uncertainty Multiplier,' accepted in 2023 by the Journal of Political Economy.","Subject":"Business and Management","Keywords":"Cash Holdings; Employment; Equity Payout; Financial Frictions; Investment; Uncertainty"},{"pid":"doi:10.7910/DVN/0OZ1AW","Title":"Geographical Indication Portfolio Analysis for Enhancing Income of Makhana Growers in Bihar","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Geographical Indication Portfolio Analysis for Enhancing Income of Makhana Growers in Bihar' Description:'Makhana i.e. Euryale ferox is a potential Geographical Indication of Bihar State in India. Its grown by the community mostly in community owned ponds. Protection as Intellectual Property will enahance their income. The project was done in 2011 covering nine districts in Bihar.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Geographical indication, Makhana, Euryale ferox, India, Bihar, IPR+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Geographical Indication Portfolio Analysis for Enhancing Income of Makhana Growers in Bihar' Description:'Makhana i.e. Euryale ferox is a potential Geographical Indication of Bihar State in India. Its grown by the community mostly in community owned ponds. Protection as Intellectual Property will enahance their income. The project was done in 2011 covering nine districts in Bihar.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Makhana i.e. Euryale ferox is a potential Geographical Indication of Bihar State in India. Its grown by the community mostly in community owned ponds. Protection as Intellectual Property will enahance their income. The project was done in 2011 covering nine districts in Bihar.","Subject":"Business and Management","Keywords":"Geographical indication, Makhana, Euryale ferox, India, Bihar, IPR"},{"pid":"doi:10.7910/DVN/0S2ITH","Title":"Dataset: Essential Environmental Impact Variables for improved corporate sustainability reporting","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset: Essential Environmental Impact Variables for improved corporate sustainability reporting' Description:'The paper 'Essential Environmental Impact Variables for improved corporate sustainability reporting' proposes a set of reporting variables needed to capture corporate impacts on ten environmental dimensions (including the nine planetary boundaries). The first step in deriving the Essential Environmental Impact Variables (EEIVs) was a combination of scientific review and expert elicitation that summarize how corporate activities in seven primary sector industries impact the environment. This dataset contains the records of the expert elicitation workshop and a post-workshop summary of environmental impacts for each of the following industries: Aquaculture, Crops, Fisheries, Forestry, Livestock, Mining, Oil and Gas.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {environmental impact, planetary boundaries, essential variables, sustainable accounting+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset: Essential Environmental Impact Variables for improved corporate sustainability reporting' Description:'The paper 'Essential Environmental Impact Variables for improved corporate sustainability reporting' proposes a set of reporting variables needed to capture corporate impacts on ten environmental dimensions (including the nine planetary boundaries). The first step in deriving the Essential Environmental Impact Variables (EEIVs) was a combination of scientific review and expert elicitation that summarize how corporate activities in seven primary sector industries impact the environment. This dataset contains the records of the expert elicitation workshop and a post-workshop summary of environmental impacts for each of the following industries: Aquaculture, Crops, Fisheries, Forestry, Livestock, Mining, Oil and Gas.' Subject:'Business and Management; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The paper 'Essential Environmental Impact Variables for improved corporate sustainability reporting' proposes a set of reporting variables needed to capture corporate impacts on ten environmental dimensions (including the nine planetary boundaries). The first step in deriving the Essential Environmental Impact Variables (EEIVs) was a combination of scientific review and expert elicitation that summarize how corporate activities in seven primary sector industries impact the environment. This dataset contains the records of the expert elicitation workshop and a post-workshop summary of environmental impacts for each of the following industries: Aquaculture, Crops, Fisheries, Forestry, Livestock, Mining, Oil and Gas.","Subject":"Business and Management","Keywords":"environmental impact, planetary boundaries, essential variables, sustainable accounting"},{"pid":"doi:10.7910/DVN/0VXZA2","Title":"Replication Data for: Beck K, Stanek P (2019) Globalization or regionalization of stock markets? The case of Central and Eastern European Countries. Eastern European Economics, 57(4), 317-330. doi: https://doi.org/10.1080/00128775.2019.1610895","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Beck K, Stanek P (2019) Globalization or regionalization of stock markets? The case of Central and Eastern European Countries. Eastern European Economics, 57(4), 317-330. doi: https://doi.org/10.1080/00128775.2019.1610895' Description:'The data set contains material to replicate: Beck K, Stanek P (2019) Globalization or regionalization of stock markets? The case of Central and Eastern European Countries. Eastern European Economics, 57(4), 317-330. doi: https://doi.org/10.1080/00128775.2019.1610895The data comprises stock market returns time series at weekly frequency between January 2000 and December 2018 on 44 stock price indices grouped into 11 sets corresponding to (1) East Asian and Australian developed markets, (2) “Chinese” markets (including Taiwan and Hong Kong), (3) “core” euro area, (4) “peripheral” euro area, (5) developed European markets outside the euro area, (6) V-4 countries, (7) “frontier” European markets (Russia, Turkey, Ukraine), (8) Baltic countries, (9) Latin American markets, (10) North American markets and (11) emerging South-East Asian countries. Data were retrieved from stooq.com and in case of some missing points, for example, due to Chinese New Year celebrations, log-linear interpolation was applied.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {dynamic factor models; stock markets+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Beck K, Stanek P (2019) Globalization or regionalization of stock markets? The case of Central and Eastern European Countries. Eastern European Economics, 57(4), 317-330. doi: https://doi.org/10.1080/00128775.2019.1610895' Description:'The data set contains material to replicate: Beck K, Stanek P (2019) Globalization or regionalization of stock markets? The case of Central and Eastern European Countries. Eastern European Economics, 57(4), 317-330. doi: https://doi.org/10.1080/00128775.2019.1610895The data comprises stock market returns time series at weekly frequency between January 2000 and December 2018 on 44 stock price indices grouped into 11 sets corresponding to (1) East Asian and Australian developed markets, (2) “Chinese” markets (including Taiwan and Hong Kong), (3) “core” euro area, (4) “peripheral” euro area, (5) developed European markets outside the euro area, (6) V-4 countries, (7) “frontier” European markets (Russia, Turkey, Ukraine), (8) Baltic countries, (9) Latin American markets, (10) North American markets and (11) emerging South-East Asian countries. Data were retrieved from stooq.com and in case of some missing points, for example, due to Chinese New Year celebrations, log-linear interpolation was applied.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data set contains material to replicate: Beck K, Stanek P (2019) Globalization or regionalization of stock markets? The case of Central and Eastern European Countries. Eastern European Economics, 57(4), 317-330. doi: https://doi.org/10.1080/00128775.2019.1610895The data comprises stock market returns time series at weekly frequency between January 2000 and December 2018 on 44 stock price indices grouped into 11 sets corresponding to (1) East Asian and Australian developed markets, (2) “Chinese” markets (including Taiwan and Hong Kong), (3) “core” euro area, (4) “peripheral” euro area, (5) developed European markets outside the euro area, (6) V-4 countries, (7) “frontier” European markets (Russia, Turkey, Ukraine), (8) Baltic countries, (9) Latin American markets, (10) North American markets and (11) emerging South-East Asian countries. Data were retrieved from stooq.com and in case of some missing points, for example, due to Chinese New Year celebrations, log-linear interpolation was applied.","Subject":"Business and Management","Keywords":"dynamic factor models; stock markets"},{"pid":"doi:10.7910/DVN/0WLG3F","Title":"The ingredients of the online donation success. A data driven study of Leetchi projects and it's twitter campaigns","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The ingredients of the online donation success. A data driven study of Leetchi projects and it's twitter campaigns' Description:'The ingredients of the online donation success. A data driven study of Leetchi projects and it's twitter campaigns.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Crowdfunding; Leetchi; Twitter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The ingredients of the online donation success. A data driven study of Leetchi projects and it's twitter campaigns' Description:'The ingredients of the online donation success. A data driven study of Leetchi projects and it's twitter campaigns.' Subject:'Business and Management; Computer and Information Science; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The ingredients of the online donation success. A data driven study of Leetchi projects and it's twitter campaigns.","Subject":"Business and Management","Keywords":"Crowdfunding; Leetchi; Twitter"},{"pid":"doi:10.7910/DVN1/22665","Title":"HBS Survey on U.S. Competitiveness","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'HBS Survey on U.S. Competitiveness' Description:'As part of the U.S. Competitiveness Project, Harvard Business School asked its alumni to complete an in-depth survey on U.S. competitiveness. Nearly 10,000 business leaders responded worldwide, resulting in a first-of-its-kind analysis of data from a broad group of central actors in the global economy. The survey results provide strong evidence that America faces a deepening competitiveness problem and help pinpoint where the roots of the problem lie. The survey findings inform the March 2012 issue of Harvard Business Review, which presents analyses of critical areas that drive U.S. competitiveness as well as action agendas for restoring America's economic vitality.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Competitiveness; HBS Alumni; United States+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'HBS Survey on U.S. Competitiveness' Description:'As part of the U.S. Competitiveness Project, Harvard Business School asked its alumni to complete an in-depth survey on U.S. competitiveness. Nearly 10,000 business leaders responded worldwide, resulting in a first-of-its-kind analysis of data from a broad group of central actors in the global economy. The survey results provide strong evidence that America faces a deepening competitiveness problem and help pinpoint where the roots of the problem lie. The survey findings inform the March 2012 issue of Harvard Business Review, which presents analyses of critical areas that drive U.S. competitiveness as well as action agendas for restoring America's economic vitality.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As part of the U.S. Competitiveness Project, Harvard Business School asked its alumni to complete an in-depth survey on U.S. competitiveness. Nearly 10,000 business leaders responded worldwide, resulting in a first-of-its-kind analysis of data from a broad group of central actors in the global economy. The survey results provide strong evidence that America faces a deepening competitiveness problem and help pinpoint where the roots of the problem lie. The survey findings inform the March 2012 issue of Harvard Business Review, which presents analyses of critical areas that drive U.S. competitiveness as well as action agendas for restoring America's economic vitality.","Subject":"Business and Management","Keywords":"Competitiveness; HBS Alumni; United States"},{"pid":"doi:10.7910/DVN/1BCRXO","Title":"Replication Data for: 'Social Capital and Health: A Meta-Analysis'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Social Capital and Health: A Meta-Analysis'' Description:'The files in this collection will allow one to reproduce the results in the paper, 'Social Capital and Health: A Meta-analysis' once the dataset is added. We will post the data after the paper is published. In the meantime, the programs and output files will allow interested readers to understand the details of our analysis. The ReadMe file provides more details.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Health; Mental health; Meta-analysis; Meta-regression; Partial correlation coefficient; Physical health; Research synthesis; Self-reported health; Social capital+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Social Capital and Health: A Meta-Analysis'' Description:'The files in this collection will allow one to reproduce the results in the paper, 'Social Capital and Health: A Meta-analysis' once the dataset is added. We will post the data after the paper is published. In the meantime, the programs and output files will allow interested readers to understand the details of our analysis. The ReadMe file provides more details.' Subject:'Business and Management; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The files in this collection will allow one to reproduce the results in the paper, 'Social Capital and Health: A Meta-analysis' once the dataset is added. We will post the data after the paper is published. In the meantime, the programs and output files will allow interested readers to understand the details of our analysis. The ReadMe file provides more details.","Subject":"Business and Management","Keywords":"Health; Mental health; Meta-analysis; Meta-regression; Partial correlation coefficient; Physical health; Research synthesis; Self-reported health; Social capital"},{"pid":"doi:10.7910/DVN/1BZASG","Title":"Replication Data for 'Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion'' Description:'REPLICATION DATA & CODE; MANUSCRIPT TITLE: Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion; JOURNAL: Research Policy; AUTHORS: Paige Clayton, Lauren Lanahan, Andrew Nelson; AUTHOR LEAD FOR GATHERING RAW DATA: Andrew Nelson; AUTHOR LEAD FOR WRITING STATA CODE: Lauren Lanahan; COMMENT: Code for primary Tables and Figures reported in .do file. Given the various units of analysis (refer to Table 2 in manuscript), we include a series of data files in various structures (i.e., individual-level, organization-level, output-level, etc.). The .do file reflects the order of material as presented in the manuscript. Data and code for material presented in Appendix are available upon request. Reach out to Lauren Lanahan for more information.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Knowledge diffusion; biotechnology; organizational origin; technology licensing; complementary assets; social networks+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion'' Description:'REPLICATION DATA & CODE; MANUSCRIPT TITLE: Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion; JOURNAL: Research Policy; AUTHORS: Paige Clayton, Lauren Lanahan, Andrew Nelson; AUTHOR LEAD FOR GATHERING RAW DATA: Andrew Nelson; AUTHOR LEAD FOR WRITING STATA CODE: Lauren Lanahan; COMMENT: Code for primary Tables and Figures reported in .do file. Given the various units of analysis (refer to Table 2 in manuscript), we include a series of data files in various structures (i.e., individual-level, organization-level, output-level, etc.). The .do file reflects the order of material as presented in the manuscript. Data and code for material presented in Appendix are available upon request. Reach out to Lauren Lanahan for more information.' Subject:'Business and Management; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"REPLICATION DATA & CODE; MANUSCRIPT TITLE: Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion; JOURNAL: Research Policy; AUTHORS: Paige Clayton, Lauren Lanahan, Andrew Nelson; AUTHOR LEAD FOR GATHERING RAW DATA: Andrew Nelson; AUTHOR LEAD FOR WRITING STATA CODE: Lauren Lanahan; COMMENT: Code for primary Tables and Figures reported in .do file. Given the various units of analysis (refer to Table 2 in manuscript), we include a series of data files in various structures (i.e., individual-level, organization-level, output-level, etc.). The .do file reflects the order of material as presented in the manuscript. Data and code for material presented in Appendix are available upon request. Reach out to Lauren Lanahan for more information.","Subject":"Business and Management","Keywords":"Knowledge diffusion; biotechnology; organizational origin; technology licensing; complementary assets; social networks"},{"pid":"doi:10.7910/DVN/1FG47W","Title":"Replication Data for: 'A Tutorial on the GMM Method' published by RAC-Revista de Administração Contemporânea","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'A Tutorial on the GMM Method' published by RAC-Revista de Administração Contemporânea' Description:'Our paper can be used as a guide for those interested in learning about the GMM method with applications in Finance. These files can be used by readers who wish to follow the tutorial using the same data as the authors. 1) Before using the files with the datasets and the code, have a look at the readme file for further instructions.2) file GMM_CKLS.R is based on the paper by Chan, Karolyi, Longstaff and Sanders (1992) and applies the GMM method to estimate the parameters of the SDE that describes the behavior of short-term continuous interest rates.3) file GMM_CCAPM.R applies the GMM method on data comprised of 10 portfolios built according to the market value of shares traded on NYSE4) files Data_CCAPM and Data_CKLS contain the dataset that needs to be uploaded with the code.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {asset pricing; GMM; interest rate+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'A Tutorial on the GMM Method' published by RAC-Revista de Administração Contemporânea' Description:'Our paper can be used as a guide for those interested in learning about the GMM method with applications in Finance. These files can be used by readers who wish to follow the tutorial using the same data as the authors. 1) Before using the files with the datasets and the code, have a look at the readme file for further instructions.2) file GMM_CKLS.R is based on the paper by Chan, Karolyi, Longstaff and Sanders (1992) and applies the GMM method to estimate the parameters of the SDE that describes the behavior of short-term continuous interest rates.3) file GMM_CCAPM.R applies the GMM method on data comprised of 10 portfolios built according to the market value of shares traded on NYSE4) files Data_CCAPM and Data_CKLS contain the dataset that needs to be uploaded with the code.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Our paper can be used as a guide for those interested in learning about the GMM method with applications in Finance. These files can be used by readers who wish to follow the tutorial using the same data as the authors. 1) Before using the files with the datasets and the code, have a look at the readme file for further instructions.2) file GMM_CKLS.R is based on the paper by Chan, Karolyi, Longstaff and Sanders (1992) and applies the GMM method to estimate the parameters of the SDE that describes the behavior of short-term continuous interest rates.3) file GMM_CCAPM.R applies the GMM method on data comprised of 10 portfolios built according to the market value of shares traded on NYSE4) files Data_CCAPM and Data_CKLS contain the dataset that needs to be uploaded with the code.","Subject":"Business and Management","Keywords":"asset pricing; GMM; interest rate"},{"pid":"doi:10.7910/DVN/1ILIGD","Title":"Replication Data for: 'Customer Churn and Intangible Capital'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Customer Churn and Intangible Capital'' Description:'This is the replication package for 'Customer Churn and Intangible Capital,' accepted in 2023 by the Journal of Political Economy Macroeconomics.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highly recommended to include keywords for discoverability of your dataset, use the '+' sign to enter each new word+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Customer Churn and Intangible Capital'' Description:'This is the replication package for 'Customer Churn and Intangible Capital,' accepted in 2023 by the Journal of Political Economy Macroeconomics.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the replication package for 'Customer Churn and Intangible Capital,' accepted in 2023 by the Journal of Political Economy Macroeconomics.","Subject":"Business and Management","Keywords":"Highly recommended to include keywords for discoverability of your dataset, use the '+' sign to enter each new word"},{"pid":"doi:10.7910/DVN/1MVMN6","Title":"Replication Data for: Supportive Management Practice and Intrinsic Motivation Go Together in the Public Service (PNAS 2021)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Supportive Management Practice and Intrinsic Motivation Go Together in the Public Service (PNAS 2021)' Description:'This archive contains the supplementary materials for this article, published in PNAS 2021, including the appendix, replication data, replication code, and codebook.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Management; Motivation; Public Sector+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Supportive Management Practice and Intrinsic Motivation Go Together in the Public Service (PNAS 2021)' Description:'This archive contains the supplementary materials for this article, published in PNAS 2021, including the appendix, replication data, replication code, and codebook.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This archive contains the supplementary materials for this article, published in PNAS 2021, including the appendix, replication data, replication code, and codebook.","Subject":"Business and Management","Keywords":"Management; Motivation; Public Sector"},{"pid":"doi:10.7910/DVN/1RBK63","Title":"Scholarly literature of software Startups in web of science (WOS) database","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Scholarly literature of software Startups in web of science (WOS) database' Description:'The dataset houses the scholarly research in web of science (WOS) database about software startups.' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Software Startups+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Scholarly literature of software Startups in web of science (WOS) database' Description:'The dataset houses the scholarly research in web of science (WOS) database about software startups.' Subject:'Business and Management; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset houses the scholarly research in web of science (WOS) database about software startups.","Subject":"Business and Management","Keywords":"Software Startups"},{"pid":"doi:10.7910/DVN/25VIFD","Title":"Replication Data for: 'Memes as shortcut to consumer culture: a methodological approach undercovered collective ideologies' published by RAC. Revista de Administração Contemporânea","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Memes as shortcut to consumer culture: a methodological approach undercovered collective ideologies' published by RAC. Revista de Administração Contemporânea' Description:'Codes table to analyze the memes. Memes analyzed Figures to explain the method' Subject:'Business and Management'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {consumer ideology; cultural text; culture and consumption; memes; qualitative research+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Memes as shortcut to consumer culture: a methodological approach undercovered collective ideologies' published by RAC. Revista de Administração Contemporânea' Description:'Codes table to analyze the memes. Memes analyzed Figures to explain the method' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Codes table to analyze the memes. Memes analyzed Figures to explain the method","Subject":"Business and Management","Keywords":"consumer ideology; cultural text; culture and consumption; memes; qualitative research"},{"pid":"doi:10.11588/data/10098","Title":"A European-wide 222Radon and 222Radon progeny comparison study [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A European-wide 222Radon and 222Radon progeny comparison study [Dataset]' Description:'Although atmospheric 222Radon (222Rn) activity concentration measurements are currently performed world-wide, they are being made by many different laboratories and with fundamentally different measurement principles, so compatibility issues can limit their utility for regional-to-global applications. Consequently, we conducted a European‐wide 222Rn/222Rn progeny comparison study in order to evaluate the different measurement systems in use, determine potential systematic biases between them, and estimate correction factors that could be applied to harmonize data for their use as a tracer in atmospheric applications. Two compact portable Heidelberg Radon Monitors (HRM) were moved around to run for at least one month at each of the nine European measurement stations included in this comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two‐filter radon monitors and the HRM of ANSTO/HRM = 1.11±0.05 was found. Moreover, for the continental stations using one‐filter systems that derive atmospheric 222Rn activity concentrations from measured atmospheric progeny activity concentrations, preliminary 214Po/222Rn disequilibrium values were also estimated. Mean station-specific disequilibrium values between 0.8 at mountain sites (e.g. Schauinsland) and 0.9 at non‐mountain sites for sampling heights around 20 to 30 m above ground level were determined. The respective corrections for calibration biases and disequilibrium derived in this study need to be applied to obtain a compatible European atmospheric 222Rn data set for use in quantitative applications, such as regional model intercomparison and validation, or trace gas flux estimates with the Radon‐Tracer‐Method.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {atmospheric radon activity concentrations+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A European-wide 222Radon and 222Radon progeny comparison study [Dataset]' Description:'Although atmospheric 222Radon (222Rn) activity concentration measurements are currently performed world-wide, they are being made by many different laboratories and with fundamentally different measurement principles, so compatibility issues can limit their utility for regional-to-global applications. Consequently, we conducted a European‐wide 222Rn/222Rn progeny comparison study in order to evaluate the different measurement systems in use, determine potential systematic biases between them, and estimate correction factors that could be applied to harmonize data for their use as a tracer in atmospheric applications. Two compact portable Heidelberg Radon Monitors (HRM) were moved around to run for at least one month at each of the nine European measurement stations included in this comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two‐filter radon monitors and the HRM of ANSTO/HRM = 1.11±0.05 was found. Moreover, for the continental stations using one‐filter systems that derive atmospheric 222Rn activity concentrations from measured atmospheric progeny activity concentrations, preliminary 214Po/222Rn disequilibrium values were also estimated. Mean station-specific disequilibrium values between 0.8 at mountain sites (e.g. Schauinsland) and 0.9 at non‐mountain sites for sampling heights around 20 to 30 m above ground level were determined. The respective corrections for calibration biases and disequilibrium derived in this study need to be applied to obtain a compatible European atmospheric 222Rn data set for use in quantitative applications, such as regional model intercomparison and validation, or trace gas flux estimates with the Radon‐Tracer‐Method.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Although atmospheric 222Radon (222Rn) activity concentration measurements are currently performed world-wide, they are being made by many different laboratories and with fundamentally different measurement principles, so compatibility issues can limit their utility for regional-to-global applications. Consequently, we conducted a European‐wide 222Rn/222Rn progeny comparison study in order to evaluate the different measurement systems in use, determine potential systematic biases between them, and estimate correction factors that could be applied to harmonize data for their use as a tracer in atmospheric applications. Two compact portable Heidelberg Radon Monitors (HRM) were moved around to run for at least one month at each of the nine European measurement stations included in this comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two‐filter radon monitors and the HRM of ANSTO/HRM = 1.11±0.05 was found. Moreover, for the continental stations using one‐filter systems that derive atmospheric 222Rn activity concentrations from measured atmospheric progeny activity concentrations, preliminary 214Po/222Rn disequilibrium values were also estimated. Mean station-specific disequilibrium values between 0.8 at mountain sites (e.g. Schauinsland) and 0.9 at non‐mountain sites for sampling heights around 20 to 30 m above ground level were determined. The respective corrections for calibration biases and disequilibrium derived in this study need to be applied to obtain a compatible European atmospheric 222Rn data set for use in quantitative applications, such as regional model intercomparison and validation, or trace gas flux estimates with the Radon‐Tracer‐Method.","Subject":"Earth and Environmental Sciences","Keywords":"atmospheric radon activity concentrations"},{"pid":"doi:10.11588/data/10100","Title":"Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016' Description:'14CO2 observations at Jungfraujoch high altitude research station in the Swiss Alps (3450m a.s.l.) and at Schauinsland observatory (1205 m a.s.l.) in the German Black Forest are conducted to monitor the background 14CO2 level over Europe and define the reference for regional estimates of fossil fuel CO2. The record is also used for post-bomb dating of organic material (e.g. forensic studies).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {carbon dioxide; continental background air; post bomb dating; Radiocarbon+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016' Description:'14CO2 observations at Jungfraujoch high altitude research station in the Swiss Alps (3450m a.s.l.) and at Schauinsland observatory (1205 m a.s.l.) in the German Black Forest are conducted to monitor the background 14CO2 level over Europe and define the reference for regional estimates of fossil fuel CO2. The record is also used for post-bomb dating of organic material (e.g. forensic studies).' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"14CO2 observations at Jungfraujoch high altitude research station in the Swiss Alps (3450m a.s.l.) and at Schauinsland observatory (1205 m a.s.l.) in the German Black Forest are conducted to monitor the background 14CO2 level over Europe and define the reference for regional estimates of fossil fuel CO2. The record is also used for post-bomb dating of organic material (e.g. forensic studies).","Subject":"Earth and Environmental Sciences","Keywords":"carbon dioxide; continental background air; post bomb dating; Radiocarbon"},{"pid":"doi:10.11588/data/10101","Title":"HELIOS full-waveform laser scanning simulation framework. Source code, precompiled version, example files for study of understory tree height scanning and respective output.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'HELIOS full-waveform laser scanning simulation framework. Source code, precompiled version, example files for study of understory tree height scanning and respective output.' Description:'This data collection enables any user to reproduce the study Hämmerle et al. (2017). It provides the source code to compile the applied simulation framework. Furthermore, a precompiled version of the software including the necessary files are provided so that a direct start of the simulation without compilation is possible. The output of the simulation (ASCII point clouds) is also provided. For details see the provided README.txt file. The main aim of the study was to examine different laser scanning campaing setups with respect to understory tree height representation which is important, for example, for forestry or climate research.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {3D point cloud analysis; field campaign planning; forest structure; full waveform; HELIOS; laser scanning simulation; understory+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'HELIOS full-waveform laser scanning simulation framework. Source code, precompiled version, example files for study of understory tree height scanning and respective output.' Description:'This data collection enables any user to reproduce the study Hämmerle et al. (2017). It provides the source code to compile the applied simulation framework. Furthermore, a precompiled version of the software including the necessary files are provided so that a direct start of the simulation without compilation is possible. The output of the simulation (ASCII point clouds) is also provided. For details see the provided README.txt file. The main aim of the study was to examine different laser scanning campaing setups with respect to understory tree height representation which is important, for example, for forestry or climate research.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data collection enables any user to reproduce the study Hämmerle et al. (2017). It provides the source code to compile the applied simulation framework. Furthermore, a precompiled version of the software including the necessary files are provided so that a direct start of the simulation without compilation is possible. The output of the simulation (ASCII point clouds) is also provided. For details see the provided README.txt file. The main aim of the study was to examine different laser scanning campaing setups with respect to understory tree height representation which is important, for example, for forestry or climate research.","Subject":"Earth and Environmental Sciences","Keywords":"3D point cloud analysis; field campaign planning; forest structure; full waveform; HELIOS; laser scanning simulation; understory"},{"pid":"doi:10.11588/data/3GYJUG","Title":"MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets' Description:'MapSwipe is a mobile crowdsourcing application designed for smartphones and tablets to generate geographic information from satellite imagery. Data from 55 projects containing more than nine million tasks and more than 30 million individual classification results contributed by about 7,500 users are covered by this dataset. Furthermore, reference datasets obtained manually and derived from OpenStreetMap are provided.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Crowdsourcing; Validation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets' Description:'MapSwipe is a mobile crowdsourcing application designed for smartphones and tablets to generate geographic information from satellite imagery. Data from 55 projects containing more than nine million tasks and more than 30 million individual classification results contributed by about 7,500 users are covered by this dataset. Furthermore, reference datasets obtained manually and derived from OpenStreetMap are provided.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"MapSwipe is a mobile crowdsourcing application designed for smartphones and tablets to generate geographic information from satellite imagery. Data from 55 projects containing more than nine million tasks and more than 30 million individual classification results contributed by about 7,500 users are covered by this dataset. Furthermore, reference datasets obtained manually and derived from OpenStreetMap are provided.","Subject":"Earth and Environmental Sciences","Keywords":"Crowdsourcing; Validation"},{"pid":"doi:10.11588/data/9N1LSR","Title":"Methane production by three widespread marine phytoplankton species: release rates, precursor compounds, and potential relevance for the environment [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Methane production by three widespread marine phytoplankton species: release rates, precursor compounds, and potential relevance for the environment [Dataset]' Description:'We investigated marine algae as a source of methane (CH4) in oxic surface waters of oceans. The widespread haptophytes Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp. were investigated. We performed CH4 production and stable carbon isotope measurements and provide unambiguous evidence that all three investigated marine algae are involved in the production of CH4 under oxic conditions. In cultures that were treated with 13C-labeled hydrogen carbonate, 13C values of CH4 increased with incubation time, resulting from the conversion of 13C–hydrogen carbonate to 13CH4. The addition of 13C-labeled dimethyl sulfide, dimethyl sulfoxide, and methionine sulfoxide – known algal metabolites that are ubiquitous in marine surface layers – resulted in the occurrence of 13C-enriched CH4 in cultures of E. huxleyi, clearly indicating that methylated sulfur compounds are also precursors of CH4. We propose that haptophyte mediated CH4 production could be a common and important process in marine surface waters.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Methane; Phytoplankton+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Methane production by three widespread marine phytoplankton species: release rates, precursor compounds, and potential relevance for the environment [Dataset]' Description:'We investigated marine algae as a source of methane (CH4) in oxic surface waters of oceans. The widespread haptophytes Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp. were investigated. We performed CH4 production and stable carbon isotope measurements and provide unambiguous evidence that all three investigated marine algae are involved in the production of CH4 under oxic conditions. In cultures that were treated with 13C-labeled hydrogen carbonate, 13C values of CH4 increased with incubation time, resulting from the conversion of 13C–hydrogen carbonate to 13CH4. The addition of 13C-labeled dimethyl sulfide, dimethyl sulfoxide, and methionine sulfoxide – known algal metabolites that are ubiquitous in marine surface layers – resulted in the occurrence of 13C-enriched CH4 in cultures of E. huxleyi, clearly indicating that methylated sulfur compounds are also precursors of CH4. We propose that haptophyte mediated CH4 production could be a common and important process in marine surface waters.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We investigated marine algae as a source of methane (CH4) in oxic surface waters of oceans. The widespread haptophytes Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp. were investigated. We performed CH4 production and stable carbon isotope measurements and provide unambiguous evidence that all three investigated marine algae are involved in the production of CH4 under oxic conditions. In cultures that were treated with 13C-labeled hydrogen carbonate, 13C values of CH4 increased with incubation time, resulting from the conversion of 13C–hydrogen carbonate to 13CH4. The addition of 13C-labeled dimethyl sulfide, dimethyl sulfoxide, and methionine sulfoxide – known algal metabolites that are ubiquitous in marine surface layers – resulted in the occurrence of 13C-enriched CH4 in cultures of E. huxleyi, clearly indicating that methylated sulfur compounds are also precursors of CH4. We propose that haptophyte mediated CH4 production could be a common and important process in marine surface waters.","Subject":"Earth and Environmental Sciences","Keywords":"Methane; Phytoplankton"},{"pid":"doi:10.11588/data/AAKAF9","Title":"Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]' Description:'DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and natural disaster mitigation as well as for monitoring, managing, and preserving landscapes and ecosystems. In this paper, we propose an automatic surface water mapping workflow by training a deep residual neural network (ResNet) based on OpenStreetMap (OSM) data and Sentinel-2 multispectral data, where the Simple Non-Iterative Clustering (SNIC) superpixel algorithm was employed for generating object-based training samples. As a case study, we produced an open surface water layer for Germany using a national ResNet model at a 10m spatial resolution, which was then harmonized with OSM data for final surface water products. Moreover, we evaluated the mapping accuracy of our open water products via conducting expert validation campaigns and comparing to existing water products, namely the WasserBLIcK and Global Surface Water Layer (GSWL). Using 4,600 validation samples in Germany, the proposed model (ResNet+SNIC) achieved an overall accuracy of 86.32% and competitive detection rates over the WasserBLIcK (87.47%) and GSWL (98.61%). This study provides comprehensive insights into how to best explore the synergy of VGI and ML of EO data in a large-scale surface water mapping task.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Copernicus; deep learning; Inland surface water; OpenStreetMap; SDG6; Volunteered geographical information+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]' Description:'DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and natural disaster mitigation as well as for monitoring, managing, and preserving landscapes and ecosystems. In this paper, we propose an automatic surface water mapping workflow by training a deep residual neural network (ResNet) based on OpenStreetMap (OSM) data and Sentinel-2 multispectral data, where the Simple Non-Iterative Clustering (SNIC) superpixel algorithm was employed for generating object-based training samples. As a case study, we produced an open surface water layer for Germany using a national ResNet model at a 10m spatial resolution, which was then harmonized with OSM data for final surface water products. Moreover, we evaluated the mapping accuracy of our open water products via conducting expert validation campaigns and comparing to existing water products, namely the WasserBLIcK and Global Surface Water Layer (GSWL). Using 4,600 validation samples in Germany, the proposed model (ResNet+SNIC) achieved an overall accuracy of 86.32% and competitive detection rates over the WasserBLIcK (87.47%) and GSWL (98.61%). This study provides comprehensive insights into how to best explore the synergy of VGI and ML of EO data in a large-scale surface water mapping task.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and natural disaster mitigation as well as for monitoring, managing, and preserving landscapes and ecosystems. In this paper, we propose an automatic surface water mapping workflow by training a deep residual neural network (ResNet) based on OpenStreetMap (OSM) data and Sentinel-2 multispectral data, where the Simple Non-Iterative Clustering (SNIC) superpixel algorithm was employed for generating object-based training samples. As a case study, we produced an open surface water layer for Germany using a national ResNet model at a 10m spatial resolution, which was then harmonized with OSM data for final surface water products. Moreover, we evaluated the mapping accuracy of our open water products via conducting expert validation campaigns and comparing to existing water products, namely the WasserBLIcK and Global Surface Water Layer (GSWL). Using 4,600 validation samples in Germany, the proposed model (ResNet+SNIC) achieved an overall accuracy of 86.32% and competitive detection rates over the WasserBLIcK (87.47%) and GSWL (98.61%). This study provides comprehensive insights into how to best explore the synergy of VGI and ML of EO data in a large-scale surface water mapping task.","Subject":"Earth and Environmental Sciences","Keywords":"Copernicus; deep learning; Inland surface water; OpenStreetMap; SDG6; Volunteered geographical information"},{"pid":"doi:10.11588/data/AGKWSG","Title":"Effects of temperature and light on methane production of widespread marine Phytoplankton [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Effects of temperature and light on methane production of widespread marine Phytoplankton [Dataset]' Description:'In the present study we investigated the effects of temperature and light intensity (including daylength) on CH4 formation from three widespread marine algal species Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp.. Rates of E. huxleyi increased by 210 % when temperature increased in a range from 10 to 21.5 °C, while a further increase in temperature (up to 23.8 °C) showed reduction of CH4 production rates. Our results clearly showed that CH4 formation of E. huxleyi is controlled by light: when light intensity increased from 30 to 2670 µmol m-2 s-1 CH4 emission rates increased continuously by almost one order of magnitude and was more than one order of magnitude higher when the daylength (light period) was extended from 6/18 h light-dark cycle to continuous light. Furthermore, light intensity is also an important factor controlling CH4 emissions of Chrysochromulina sp. and P. globosa and could therefore be a species-independent regulator of phytoplankton CH4 production.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Environmental factors; Methane; Phytoplankton+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Effects of temperature and light on methane production of widespread marine Phytoplankton [Dataset]' Description:'In the present study we investigated the effects of temperature and light intensity (including daylength) on CH4 formation from three widespread marine algal species Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp.. Rates of E. huxleyi increased by 210 % when temperature increased in a range from 10 to 21.5 °C, while a further increase in temperature (up to 23.8 °C) showed reduction of CH4 production rates. Our results clearly showed that CH4 formation of E. huxleyi is controlled by light: when light intensity increased from 30 to 2670 µmol m-2 s-1 CH4 emission rates increased continuously by almost one order of magnitude and was more than one order of magnitude higher when the daylength (light period) was extended from 6/18 h light-dark cycle to continuous light. Furthermore, light intensity is also an important factor controlling CH4 emissions of Chrysochromulina sp. and P. globosa and could therefore be a species-independent regulator of phytoplankton CH4 production.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In the present study we investigated the effects of temperature and light intensity (including daylength) on CH4 formation from three widespread marine algal species Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp.. Rates of E. huxleyi increased by 210 % when temperature increased in a range from 10 to 21.5 °C, while a further increase in temperature (up to 23.8 °C) showed reduction of CH4 production rates. Our results clearly showed that CH4 formation of E. huxleyi is controlled by light: when light intensity increased from 30 to 2670 µmol m-2 s-1 CH4 emission rates increased continuously by almost one order of magnitude and was more than one order of magnitude higher when the daylength (light period) was extended from 6/18 h light-dark cycle to continuous light. Furthermore, light intensity is also an important factor controlling CH4 emissions of Chrysochromulina sp. and P. globosa and could therefore be a species-independent regulator of phytoplankton CH4 production.","Subject":"Earth and Environmental Sciences","Keywords":"Environmental factors; Methane; Phytoplankton"},{"pid":"doi:10.11588/data/DQYPMC","Title":"The stable carbon isotope signature of methane produced by saprotrophic fungi [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The stable carbon isotope signature of methane produced by saprotrophic fungi [Dataset]' Description:'Fungi have recently been identified to produce the greenhouse gas methane. Here, we investigated the stable carbon isotope values of methane produced by saprotrophic fungi. Our results show that stable isotope values of methane by fungi are dependent on the fungal species and the metabolized substrate. They cover a broad range and overlap with stable carbon isotope values of methane reported for methanogenic archaea, thermogenic degradation of organic matter and other eukaryotes.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Methane; Saprotrophic fungi; Stable isotopes+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The stable carbon isotope signature of methane produced by saprotrophic fungi [Dataset]' Description:'Fungi have recently been identified to produce the greenhouse gas methane. Here, we investigated the stable carbon isotope values of methane produced by saprotrophic fungi. Our results show that stable isotope values of methane by fungi are dependent on the fungal species and the metabolized substrate. They cover a broad range and overlap with stable carbon isotope values of methane reported for methanogenic archaea, thermogenic degradation of organic matter and other eukaryotes.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fungi have recently been identified to produce the greenhouse gas methane. Here, we investigated the stable carbon isotope values of methane produced by saprotrophic fungi. Our results show that stable isotope values of methane by fungi are dependent on the fungal species and the metabolized substrate. They cover a broad range and overlap with stable carbon isotope values of methane reported for methanogenic archaea, thermogenic degradation of organic matter and other eukaryotes.","Subject":"Earth and Environmental Sciences","Keywords":"Methane; Saprotrophic fungi; Stable isotopes"},{"pid":"doi:10.11588/data/GYLDH5","Title":"Hells Bells project - results of sampling campaign in February 2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hells Bells project - results of sampling campaign in February 2020' Description:'This data set compiles the results of water chemical analyses as well as bulk chemical analyses of the particles suspended in the water columns of cenotes (sinkholes) obtained during a sampling campaign in Mexico in February 2020. Three stratified cenotes from North-Eastern Yucatán Peninsula were investigated: El Zapote and Siete Bocas with Hells Bells underwater speleothems and cenote Angelita without these structures. The goal of the sampling and analyses was to obtain a high depth resolution of water data around the pelagic redoxclines of the cenotes for a better understanding of the biogeochemical processes and particle formation in these particular water layers, especially with regard to the biologically promoted precipitation of calcite (Ritter et al., 2019). This process is apparently involved in the formation of underwater speleothems termed as Hells Bells. The comparison of cenotes with Hells Bells (El Zapote and Siete Bocas) with a similar cenote without Hells Bells (Angelita) allows to identify the prerequisites for biologically promoted calcite precipitation and thus, Hells Bells formation. Furthermore, cenote Xcolac from the northern-central Yucatán Peninsula was investigated. Prior studies indicated that Hells Bells-like underwater speleothems might occur in cenote Xkolac (Ritter S.M., 2020). In order to verify, the cenote was explored and investigated in February 2020 by a team of divers and scientists. Below ~52 m water depth, the limestone walls actually revealed brownish calcitic coatings forming pine-cone like structures at overhangs (see video: Ritter et al., 2021). These novel underwater speleothems were termed as 'Piñas de Yucatán'. The hydrogeochemistry around the pelagic redoxcline indicates biologically-promoted calcite precipitation in the water depth level at which sulfide is re-oxidized to elemental sulfur. Based on this discovery, Hells Bells and Piñas de Yucatán might represent a novel sub-type of underwater speleothems, the redoxithems. This special kind of speleothems are formed by a common formation mechanism, which is the microbially promoted calcite precipitation in pelagic redoxclines of very stagnant aquatic systems.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {biogeochemistry; cenotes; Hells Bells; redoxcline; redoxithems; sinkhole; underwater speleothem; water chemistry; Yucatán Peninsula+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hells Bells project - results of sampling campaign in February 2020' Description:'This data set compiles the results of water chemical analyses as well as bulk chemical analyses of the particles suspended in the water columns of cenotes (sinkholes) obtained during a sampling campaign in Mexico in February 2020. Three stratified cenotes from North-Eastern Yucatán Peninsula were investigated: El Zapote and Siete Bocas with Hells Bells underwater speleothems and cenote Angelita without these structures. The goal of the sampling and analyses was to obtain a high depth resolution of water data around the pelagic redoxclines of the cenotes for a better understanding of the biogeochemical processes and particle formation in these particular water layers, especially with regard to the biologically promoted precipitation of calcite (Ritter et al., 2019). This process is apparently involved in the formation of underwater speleothems termed as Hells Bells. The comparison of cenotes with Hells Bells (El Zapote and Siete Bocas) with a similar cenote without Hells Bells (Angelita) allows to identify the prerequisites for biologically promoted calcite precipitation and thus, Hells Bells formation. Furthermore, cenote Xcolac from the northern-central Yucatán Peninsula was investigated. Prior studies indicated that Hells Bells-like underwater speleothems might occur in cenote Xkolac (Ritter S.M., 2020). In order to verify, the cenote was explored and investigated in February 2020 by a team of divers and scientists. Below ~52 m water depth, the limestone walls actually revealed brownish calcitic coatings forming pine-cone like structures at overhangs (see video: Ritter et al., 2021). These novel underwater speleothems were termed as 'Piñas de Yucatán'. The hydrogeochemistry around the pelagic redoxcline indicates biologically-promoted calcite precipitation in the water depth level at which sulfide is re-oxidized to elemental sulfur. Based on this discovery, Hells Bells and Piñas de Yucatán might represent a novel sub-type of underwater speleothems, the redoxithems. This special kind of speleothems are formed by a common formation mechanism, which is the microbially promoted calcite precipitation in pelagic redoxclines of very stagnant aquatic systems.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set compiles the results of water chemical analyses as well as bulk chemical analyses of the particles suspended in the water columns of cenotes (sinkholes) obtained during a sampling campaign in Mexico in February 2020. Three stratified cenotes from North-Eastern Yucatán Peninsula were investigated: El Zapote and Siete Bocas with Hells Bells underwater speleothems and cenote Angelita without these structures. The goal of the sampling and analyses was to obtain a high depth resolution of water data around the pelagic redoxclines of the cenotes for a better understanding of the biogeochemical processes and particle formation in these particular water layers, especially with regard to the biologically promoted precipitation of calcite (Ritter et al., 2019). This process is apparently involved in the formation of underwater speleothems termed as Hells Bells. The comparison of cenotes with Hells Bells (El Zapote and Siete Bocas) with a similar cenote without Hells Bells (Angelita) allows to identify the prerequisites for biologically promoted calcite precipitation and thus, Hells Bells formation. Furthermore, cenote Xcolac from the northern-central Yucatán Peninsula was investigated. Prior studies indicated that Hells Bells-like underwater speleothems might occur in cenote Xkolac (Ritter S.M., 2020). In order to verify, the cenote was explored and investigated in February 2020 by a team of divers and scientists. Below ~52 m water depth, the limestone walls actually revealed brownish calcitic coatings forming pine-cone like structures at overhangs (see video: Ritter et al., 2021). These novel underwater speleothems were termed as 'Piñas de Yucatán'. The hydrogeochemistry around the pelagic redoxcline indicates biologically-promoted calcite precipitation in the water depth level at which sulfide is re-oxidized to elemental sulfur. Based on this discovery, Hells Bells and Piñas de Yucatán might represent a novel sub-type of underwater speleothems, the redoxithems. This special kind of speleothems are formed by a common formation mechanism, which is the microbially promoted calcite precipitation in pelagic redoxclines of very stagnant aquatic systems.","Subject":"Earth and Environmental Sciences","Keywords":"biogeochemistry; cenotes; Hells Bells; redoxcline; redoxithems; sinkhole; underwater speleothem; water chemistry; Yucatán Peninsula"},{"pid":"doi:10.11588/data/KLFDVF","Title":"Application of concentration and 2-dimensional stable isotope measurements of methane to constrain sources and sinks in a seasonally stratified freshwater lake [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Application of concentration and 2-dimensional stable isotope measurements of methane to constrain sources and sinks in a seasonally stratified freshwater lake [data]' Description:'Methane (CH4) emissions from aquatic systems have recently been comprised to account for up to 50 % of global CH4 emissions, with lakes representing one of the largest CH4 source within this pool. However, there is large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere, because of a lack of understanding in the spatial and temporal dynamics of CH4 sources and sinks, as well as underlying mechanisms and processes. In this study, we investigated the concentrations and stable carbon (δ13C-CH4) and hydrogen (δ2H-CH4) isotope composition of CH4 in a small eutrophic lake with seasonal stratification and its spatial and temporal variation. We found that while supersaturation of CH4 in the entire water column was present throughout the whole year, the isotopic composition of CH4 in sediment and water column varied depending on lake stratification, physiochemical conditions, and lake depth. During the stratification period, isotopic characteristics of pelagic surface water CH4 differed from littoral and sedimentary CH4, suggesting likely mixing of CH4 from different sources including vertical and later input as well as groundwater input and potentially oxic methane production in the mixed surface water layer. Aerobic CH4 oxidation indicated by a strong increase in both ẟ13C-CH4 and ẟ2H-CH4 values at the bottom of the oxycline was found to significantly reduce upward migrating CH4 released at the sediment-water interface. In the sediment, stable isotope characteristics of CH4 showed an increasing dominance of the acetoclastic CH4 formation pathway from the pelagic towards the littoral area. Furthermore, the occurrence of sulfate-dependent anaerobic methane oxidation in the sediment was suggested by an increase in ẟ13C-CH4 and ẟ2H-CH4 values. During the mixing period, the isotopic CH4 composition of the water column was distinctively less negative than during the stratification period potentially resulting from a greater impact of groundwater CH4 input compared to the stratification period. Our findings implicate that the application of concentrations and dual isotope measurements of CH4 is a promising approach for constraining CH4 sinks and sources in lakes and to disentangle the complex CH4 dynamics in lakes both spatially and seasonally.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lake; methane sinks; methane sources; stable isotopes; stratification; δ13C-CH4 values; δ2H-CH4 values+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Application of concentration and 2-dimensional stable isotope measurements of methane to constrain sources and sinks in a seasonally stratified freshwater lake [data]' Description:'Methane (CH4) emissions from aquatic systems have recently been comprised to account for up to 50 % of global CH4 emissions, with lakes representing one of the largest CH4 source within this pool. However, there is large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere, because of a lack of understanding in the spatial and temporal dynamics of CH4 sources and sinks, as well as underlying mechanisms and processes. In this study, we investigated the concentrations and stable carbon (δ13C-CH4) and hydrogen (δ2H-CH4) isotope composition of CH4 in a small eutrophic lake with seasonal stratification and its spatial and temporal variation. We found that while supersaturation of CH4 in the entire water column was present throughout the whole year, the isotopic composition of CH4 in sediment and water column varied depending on lake stratification, physiochemical conditions, and lake depth. During the stratification period, isotopic characteristics of pelagic surface water CH4 differed from littoral and sedimentary CH4, suggesting likely mixing of CH4 from different sources including vertical and later input as well as groundwater input and potentially oxic methane production in the mixed surface water layer. Aerobic CH4 oxidation indicated by a strong increase in both ẟ13C-CH4 and ẟ2H-CH4 values at the bottom of the oxycline was found to significantly reduce upward migrating CH4 released at the sediment-water interface. In the sediment, stable isotope characteristics of CH4 showed an increasing dominance of the acetoclastic CH4 formation pathway from the pelagic towards the littoral area. Furthermore, the occurrence of sulfate-dependent anaerobic methane oxidation in the sediment was suggested by an increase in ẟ13C-CH4 and ẟ2H-CH4 values. During the mixing period, the isotopic CH4 composition of the water column was distinctively less negative than during the stratification period potentially resulting from a greater impact of groundwater CH4 input compared to the stratification period. Our findings implicate that the application of concentrations and dual isotope measurements of CH4 is a promising approach for constraining CH4 sinks and sources in lakes and to disentangle the complex CH4 dynamics in lakes both spatially and seasonally.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Methane (CH4) emissions from aquatic systems have recently been comprised to account for up to 50 % of global CH4 emissions, with lakes representing one of the largest CH4 source within this pool. However, there is large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere, because of a lack of understanding in the spatial and temporal dynamics of CH4 sources and sinks, as well as underlying mechanisms and processes. In this study, we investigated the concentrations and stable carbon (δ13C-CH4) and hydrogen (δ2H-CH4) isotope composition of CH4 in a small eutrophic lake with seasonal stratification and its spatial and temporal variation. We found that while supersaturation of CH4 in the entire water column was present throughout the whole year, the isotopic composition of CH4 in sediment and water column varied depending on lake stratification, physiochemical conditions, and lake depth. During the stratification period, isotopic characteristics of pelagic surface water CH4 differed from littoral and sedimentary CH4, suggesting likely mixing of CH4 from different sources including vertical and later input as well as groundwater input and potentially oxic methane production in the mixed surface water layer. Aerobic CH4 oxidation indicated by a strong increase in both ẟ13C-CH4 and ẟ2H-CH4 values at the bottom of the oxycline was found to significantly reduce upward migrating CH4 released at the sediment-water interface. In the sediment, stable isotope characteristics of CH4 showed an increasing dominance of the acetoclastic CH4 formation pathway from the pelagic towards the littoral area. Furthermore, the occurrence of sulfate-dependent anaerobic methane oxidation in the sediment was suggested by an increase in ẟ13C-CH4 and ẟ2H-CH4 values. During the mixing period, the isotopic CH4 composition of the water column was distinctively less negative than during the stratification period potentially resulting from a greater impact of groundwater CH4 input compared to the stratification period. Our findings implicate that the application of concentrations and dual isotope measurements of CH4 is a promising approach for constraining CH4 sinks and sources in lakes and to disentangle the complex CH4 dynamics in lakes both spatially and seasonally.","Subject":"Earth and Environmental Sciences","Keywords":"lake; methane sinks; methane sources; stable isotopes; stratification; δ13C-CH4 values; δ2H-CH4 values"},{"pid":"doi:10.11588/data/LSG8TN","Title":"Digital Elevation Model 'Ville' from 1893","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Digital Elevation Model 'Ville' from 1893' Description:'The area of the Ville in western Germany is of particular importance for studying anthropogenic induced relief changes, as it belongs to the largest and oldest historic lignite mining areas worldwide. Comparison of topographic data from the first geodetic mapping in 1893 to 2015 allows the quantification of relief changes in a completed example of a post-mining landscape. The dataset 'Digital Elevation Model 'Ville' from 1893' is computed based on the digitized contour lines of the historic map Preußische Neuaufnahme, which is the first geodetic mapping in the area. The DEM has a spatial resolution of 30 m.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Digital Elevation Model+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Digital Elevation Model 'Ville' from 1893' Description:'The area of the Ville in western Germany is of particular importance for studying anthropogenic induced relief changes, as it belongs to the largest and oldest historic lignite mining areas worldwide. Comparison of topographic data from the first geodetic mapping in 1893 to 2015 allows the quantification of relief changes in a completed example of a post-mining landscape. The dataset 'Digital Elevation Model 'Ville' from 1893' is computed based on the digitized contour lines of the historic map Preußische Neuaufnahme, which is the first geodetic mapping in the area. The DEM has a spatial resolution of 30 m.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The area of the Ville in western Germany is of particular importance for studying anthropogenic induced relief changes, as it belongs to the largest and oldest historic lignite mining areas worldwide. Comparison of topographic data from the first geodetic mapping in 1893 to 2015 allows the quantification of relief changes in a completed example of a post-mining landscape. The dataset 'Digital Elevation Model 'Ville' from 1893' is computed based on the digitized contour lines of the historic map Preußische Neuaufnahme, which is the first geodetic mapping in the area. The DEM has a spatial resolution of 30 m.","Subject":"Earth and Environmental Sciences","Keywords":"Digital Elevation Model"},{"pid":"doi:10.11588/data/MU3CON","Title":"Methane cycling in a eutrophic lake characterised by multiple stable isotope and flux measurements [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Methane cycling in a eutrophic lake characterised by multiple stable isotope and flux measurements [data]' Description:'Recent estimations demonstrate that methane (CH4) emissions from aquatic systems are responsible for up to half of global CH4 emissions. Lakes represent one of the largest CH4 sources, and emissions are predicted to increase due to global warming. However, there is a large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere. Emissions result from the interplay between physical transport, CH4 production and consumption processes, which remain poorly understood. Especially the recently discovered CH4 production in oxic water layers (OMP) questions the traditional understanding of CH4 formation processes and might constitute a major driver of limnic CH4 emissions. However, the underlying mechanisms and pathways of OMP are largely unknown.In the scope of this study, a combination of field measurements and laboratory incubation experiments as well as concentration measurements and stable isotope techniques were conducted to disentangle the complex processes involved in the CH4 cycle of small, seasonally stratified, eutrophic Lake Willersinnweiher, which is situated in south-west Germany. Methane oversaturation in the water column of Lake Willersinnweiher was found throughout the whole year. However, seasonal and spatial variations of dissolved CH4 depending on lake stratification were observed. Spatial disparities of epilimnic CH4 concentrations indicated that lateral input of CH4 originated mainly from a few selected shallow sites and not from the whole littoral area of the lake. Inflowing groundwater characterised by high CH4 concentrations, which were unusually enriched in 13C and deuterium (2H), further contributed to CH4 supersaturation in the water column. During the stratification period, accumulation of CH4 just below the thermocline coincided with chlorophyll-a peaks, thus indicating the potential presence of OMP in connection with phytoplankton blooms at Lake Willersinnweiher. The potential occurrence of OMP was further validated by a mass-balance approach and by identifying methyl phosphonate, methylamine, and methionine as three potential precursor compounds of CH4 in the oxic water column. In the sediment, the stable carbon (δ13C-CH4) and stable hydrogen (δ2H-CH4) isotope values of CH4 revealed the contribution of different pathways of methanogenic CH4 production depending on water depth. However, sulphate (SO42-)-dependent anaerobic methane oxidation (AOM), revealed by flux measurements, stable isotope evidence of CH4 and dissolved inorganic carbon (DIC) acted as a sink of sedimentary CH4 that substantially diminished CH4 fluxes from the sediment into bottom waters. Furthermore, CH4 from the anoxic CH4-rich hypolimnion was largely depleted by aerobic methane oxidation (MOx) at the oxic-anoxic interface. Methane fluxes from the water column to the atmosphere as well as its stable isotopic values showed strong seasonal dependence and variations, with CH4 being more enriched in 13C and 2H during the mixing period in winter compared to the stratification period in summer. While diffusive CH4 fluxes dominated total CH4 emissions during the mixing period, ebullition was the main contributor to CH4 emissions during the stratification period. Furthermore, the recently introduced isotope indicator Δ(2,13) was applied to characterise CH4 sources at Lake Willersinnweiher. Δ(2,13) values implied that littoral and groundwater inputs of CH4 mainly contributed to CH4 supersaturation at Lake Willersinnweiher during the mixing period. However, lateral and vertical CH4 inputs alone could not explain CH4 supersaturation during the stratification period. Therefore, OMP might be another important CH4 source. This study shows that all investigated sinks and sources of CH4 are subject to strong variations based on lake stratification, physicochemical conditions, and lake depth. Hence, the results of this study suggest that a combination of dual isotope and concentration measurements of CH4 is a promising tool in order to untangle seasonal and spatial dynamics of CH4 sources and sinks in the complex CH4 cycle of lakes.' Subject:' Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lake; methane cycle; stable carbon isotopes; stable hydrogen isotopes; Δ(2,13) values+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Methane cycling in a eutrophic lake characterised by multiple stable isotope and flux measurements [data]' Description:'Recent estimations demonstrate that methane (CH4) emissions from aquatic systems are responsible for up to half of global CH4 emissions. Lakes represent one of the largest CH4 sources, and emissions are predicted to increase due to global warming. However, there is a large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere. Emissions result from the interplay between physical transport, CH4 production and consumption processes, which remain poorly understood. Especially the recently discovered CH4 production in oxic water layers (OMP) questions the traditional understanding of CH4 formation processes and might constitute a major driver of limnic CH4 emissions. However, the underlying mechanisms and pathways of OMP are largely unknown.In the scope of this study, a combination of field measurements and laboratory incubation experiments as well as concentration measurements and stable isotope techniques were conducted to disentangle the complex processes involved in the CH4 cycle of small, seasonally stratified, eutrophic Lake Willersinnweiher, which is situated in south-west Germany. Methane oversaturation in the water column of Lake Willersinnweiher was found throughout the whole year. However, seasonal and spatial variations of dissolved CH4 depending on lake stratification were observed. Spatial disparities of epilimnic CH4 concentrations indicated that lateral input of CH4 originated mainly from a few selected shallow sites and not from the whole littoral area of the lake. Inflowing groundwater characterised by high CH4 concentrations, which were unusually enriched in 13C and deuterium (2H), further contributed to CH4 supersaturation in the water column. During the stratification period, accumulation of CH4 just below the thermocline coincided with chlorophyll-a peaks, thus indicating the potential presence of OMP in connection with phytoplankton blooms at Lake Willersinnweiher. The potential occurrence of OMP was further validated by a mass-balance approach and by identifying methyl phosphonate, methylamine, and methionine as three potential precursor compounds of CH4 in the oxic water column. In the sediment, the stable carbon (δ13C-CH4) and stable hydrogen (δ2H-CH4) isotope values of CH4 revealed the contribution of different pathways of methanogenic CH4 production depending on water depth. However, sulphate (SO42-)-dependent anaerobic methane oxidation (AOM), revealed by flux measurements, stable isotope evidence of CH4 and dissolved inorganic carbon (DIC) acted as a sink of sedimentary CH4 that substantially diminished CH4 fluxes from the sediment into bottom waters. Furthermore, CH4 from the anoxic CH4-rich hypolimnion was largely depleted by aerobic methane oxidation (MOx) at the oxic-anoxic interface. Methane fluxes from the water column to the atmosphere as well as its stable isotopic values showed strong seasonal dependence and variations, with CH4 being more enriched in 13C and 2H during the mixing period in winter compared to the stratification period in summer. While diffusive CH4 fluxes dominated total CH4 emissions during the mixing period, ebullition was the main contributor to CH4 emissions during the stratification period. Furthermore, the recently introduced isotope indicator Δ(2,13) was applied to characterise CH4 sources at Lake Willersinnweiher. Δ(2,13) values implied that littoral and groundwater inputs of CH4 mainly contributed to CH4 supersaturation at Lake Willersinnweiher during the mixing period. However, lateral and vertical CH4 inputs alone could not explain CH4 supersaturation during the stratification period. Therefore, OMP might be another important CH4 source. This study shows that all investigated sinks and sources of CH4 are subject to strong variations based on lake stratification, physicochemical conditions, and lake depth. Hence, the results of this study suggest that a combination of dual isotope and concentration measurements of CH4 is a promising tool in order to untangle seasonal and spatial dynamics of CH4 sources and sinks in the complex CH4 cycle of lakes.' Subject:'Chemistry; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Recent estimations demonstrate that methane (CH4) emissions from aquatic systems are responsible for up to half of global CH4 emissions. Lakes represent one of the largest CH4 sources, and emissions are predicted to increase due to global warming. However, there is a large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere. Emissions result from the interplay between physical transport, CH4 production and consumption processes, which remain poorly understood. Especially the recently discovered CH4 production in oxic water layers (OMP) questions the traditional understanding of CH4 formation processes and might constitute a major driver of limnic CH4 emissions. However, the underlying mechanisms and pathways of OMP are largely unknown.In the scope of this study, a combination of field measurements and laboratory incubation experiments as well as concentration measurements and stable isotope techniques were conducted to disentangle the complex processes involved in the CH4 cycle of small, seasonally stratified, eutrophic Lake Willersinnweiher, which is situated in south-west Germany. Methane oversaturation in the water column of Lake Willersinnweiher was found throughout the whole year. However, seasonal and spatial variations of dissolved CH4 depending on lake stratification were observed. Spatial disparities of epilimnic CH4 concentrations indicated that lateral input of CH4 originated mainly from a few selected shallow sites and not from the whole littoral area of the lake. Inflowing groundwater characterised by high CH4 concentrations, which were unusually enriched in 13C and deuterium (2H), further contributed to CH4 supersaturation in the water column. During the stratification period, accumulation of CH4 just below the thermocline coincided with chlorophyll-a peaks, thus indicating the potential presence of OMP in connection with phytoplankton blooms at Lake Willersinnweiher. The potential occurrence of OMP was further validated by a mass-balance approach and by identifying methyl phosphonate, methylamine, and methionine as three potential precursor compounds of CH4 in the oxic water column. In the sediment, the stable carbon (δ13C-CH4) and stable hydrogen (δ2H-CH4) isotope values of CH4 revealed the contribution of different pathways of methanogenic CH4 production depending on water depth. However, sulphate (SO42-)-dependent anaerobic methane oxidation (AOM), revealed by flux measurements, stable isotope evidence of CH4 and dissolved inorganic carbon (DIC) acted as a sink of sedimentary CH4 that substantially diminished CH4 fluxes from the sediment into bottom waters. Furthermore, CH4 from the anoxic CH4-rich hypolimnion was largely depleted by aerobic methane oxidation (MOx) at the oxic-anoxic interface. Methane fluxes from the water column to the atmosphere as well as its stable isotopic values showed strong seasonal dependence and variations, with CH4 being more enriched in 13C and 2H during the mixing period in winter compared to the stratification period in summer. While diffusive CH4 fluxes dominated total CH4 emissions during the mixing period, ebullition was the main contributor to CH4 emissions during the stratification period. Furthermore, the recently introduced isotope indicator Δ(2,13) was applied to characterise CH4 sources at Lake Willersinnweiher. Δ(2,13) values implied that littoral and groundwater inputs of CH4 mainly contributed to CH4 supersaturation at Lake Willersinnweiher during the mixing period. However, lateral and vertical CH4 inputs alone could not explain CH4 supersaturation during the stratification period. Therefore, OMP might be another important CH4 source. This study shows that all investigated sinks and sources of CH4 are subject to strong variations based on lake stratification, physicochemical conditions, and lake depth. Hence, the results of this study suggest that a combination of dual isotope and concentration measurements of CH4 is a promising tool in order to untangle seasonal and spatial dynamics of CH4 sources and sinks in the complex CH4 cycle of lakes.","Subject":" Earth and Environmental Sciences","Keywords":"lake; methane cycle; stable carbon isotopes; stable hydrogen isotopes; Δ(2,13) values"},{"pid":"doi:10.11588/data/MZBO7T","Title":"Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]' Description:'Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is a suitable 3D representation of the object of interest. For VLS of forests, the way trees are constructed influences both the performance and the realism of the simulations. In this contribution, we analyse how well VLS can reproduce scans of individual trees in a forest. Specifically, we examine how different voxel sizes used to create the virtual forest affect point cloud metrics (e.g. height percentiles) and tree metrics (e.g. tree height and crown base height) derived from simulated point clouds. The level of detail in the voxelisation is dependent on the voxel size, which usually influences the number of voxel cells of the model. A smaller voxel size (i.e., more voxels) increases the computational cost of laser scanning simulations but allows for more detail. We present a method that decouples voxel grid resolution from final voxel cube size by scaling voxels to smaller cubes, whose surface is proportional to estimated normalised local plant area density. Voxel models are created from terrestrial laser scanning point clouds and then virtually scanned in one airborne and one UAV-borne simulation scenario. Using a comprehensive dataset of spatially overlapping terrestrial, UAV-borne and airborne laser scanning field data, we compare metrics derived from simulated point clouds and from real reference point clouds. Compared to voxel cubes of fixed size with the same base grid size, using scaled voxels greatly improves the agreement of simulated and real point cloud and tree metrics. This can be largely attributed to reduced artificial occlusion effects when using scaled voxels. The scaled voxels better represent gaps in the canopy, allowing for higher and more realistic crown penetration. Similarly high metric accuracy can be achieved using regular fixed size voxel models with notably finer resolution, e.g. 0.02 m. But this can pose a computational limitation for running simulations over large forest plots due to the ca. 50 times higher number of filled voxels. We conclude that opaque scaled voxel models enable realistic laser scanning simulations in forests and avoid the high computational cost of small fixed size voxels.--This dataset includes - HELIOS++ data files to reproduce the simulations (forest (voxel) models, scene files and survey files) - Reference point clouds of the forest plots and of individual target trees - Simulated point clouds of the forest plots and of individual target trees - TLS point clouds of the target trees, based on which the trees were reconstructed for the simulations - Metrics computed from the reference and the simulated tree point clouds - Python scripts used for voxel processing, simulation output processing and metric computation - Examples of configuration files for AMAPVox (https://amap-dev.cirad.fr/projects/amapvox), the software for voxel-based plant area density estimation' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {HELIOS++; Leaf area density; LiDAR simulation; Terrestrial Laser Scanning; Virtual laser scanning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]' Description:'Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is a suitable 3D representation of the object of interest. For VLS of forests, the way trees are constructed influences both the performance and the realism of the simulations. In this contribution, we analyse how well VLS can reproduce scans of individual trees in a forest. Specifically, we examine how different voxel sizes used to create the virtual forest affect point cloud metrics (e.g. height percentiles) and tree metrics (e.g. tree height and crown base height) derived from simulated point clouds. The level of detail in the voxelisation is dependent on the voxel size, which usually influences the number of voxel cells of the model. A smaller voxel size (i.e., more voxels) increases the computational cost of laser scanning simulations but allows for more detail. We present a method that decouples voxel grid resolution from final voxel cube size by scaling voxels to smaller cubes, whose surface is proportional to estimated normalised local plant area density. Voxel models are created from terrestrial laser scanning point clouds and then virtually scanned in one airborne and one UAV-borne simulation scenario. Using a comprehensive dataset of spatially overlapping terrestrial, UAV-borne and airborne laser scanning field data, we compare metrics derived from simulated point clouds and from real reference point clouds. Compared to voxel cubes of fixed size with the same base grid size, using scaled voxels greatly improves the agreement of simulated and real point cloud and tree metrics. This can be largely attributed to reduced artificial occlusion effects when using scaled voxels. The scaled voxels better represent gaps in the canopy, allowing for higher and more realistic crown penetration. Similarly high metric accuracy can be achieved using regular fixed size voxel models with notably finer resolution, e.g. 0.02 m. But this can pose a computational limitation for running simulations over large forest plots due to the ca. 50 times higher number of filled voxels. We conclude that opaque scaled voxel models enable realistic laser scanning simulations in forests and avoid the high computational cost of small fixed size voxels.--This dataset includes - HELIOS++ data files to reproduce the simulations (forest (voxel) models, scene files and survey files) - Reference point clouds of the forest plots and of individual target trees - Simulated point clouds of the forest plots and of individual target trees - TLS point clouds of the target trees, based on which the trees were reconstructed for the simulations - Metrics computed from the reference and the simulated tree point clouds - Python scripts used for voxel processing, simulation output processing and metric computation - Examples of configuration files for AMAPVox (https://amap-dev.cirad.fr/projects/amapvox), the software for voxel-based plant area density estimation' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is a suitable 3D representation of the object of interest. For VLS of forests, the way trees are constructed influences both the performance and the realism of the simulations. In this contribution, we analyse how well VLS can reproduce scans of individual trees in a forest. Specifically, we examine how different voxel sizes used to create the virtual forest affect point cloud metrics (e.g. height percentiles) and tree metrics (e.g. tree height and crown base height) derived from simulated point clouds. The level of detail in the voxelisation is dependent on the voxel size, which usually influences the number of voxel cells of the model. A smaller voxel size (i.e., more voxels) increases the computational cost of laser scanning simulations but allows for more detail. We present a method that decouples voxel grid resolution from final voxel cube size by scaling voxels to smaller cubes, whose surface is proportional to estimated normalised local plant area density. Voxel models are created from terrestrial laser scanning point clouds and then virtually scanned in one airborne and one UAV-borne simulation scenario. Using a comprehensive dataset of spatially overlapping terrestrial, UAV-borne and airborne laser scanning field data, we compare metrics derived from simulated point clouds and from real reference point clouds. Compared to voxel cubes of fixed size with the same base grid size, using scaled voxels greatly improves the agreement of simulated and real point cloud and tree metrics. This can be largely attributed to reduced artificial occlusion effects when using scaled voxels. The scaled voxels better represent gaps in the canopy, allowing for higher and more realistic crown penetration. Similarly high metric accuracy can be achieved using regular fixed size voxel models with notably finer resolution, e.g. 0.02 m. But this can pose a computational limitation for running simulations over large forest plots due to the ca. 50 times higher number of filled voxels. We conclude that opaque scaled voxel models enable realistic laser scanning simulations in forests and avoid the high computational cost of small fixed size voxels.--This dataset includes - HELIOS++ data files to reproduce the simulations (forest (voxel) models, scene files and survey files) - Reference point clouds of the forest plots and of individual target trees - Simulated point clouds of the forest plots and of individual target trees - TLS point clouds of the target trees, based on which the trees were reconstructed for the simulations - Metrics computed from the reference and the simulated tree point clouds - Python scripts used for voxel processing, simulation output processing and metric computation - Examples of configuration files for AMAPVox (https://amap-dev.cirad.fr/projects/amapvox), the software for voxel-based plant area density estimation","Subject":"Earth and Environmental Sciences","Keywords":"HELIOS++; Leaf area density; LiDAR simulation; Terrestrial Laser Scanning; Virtual laser scanning"},{"pid":"doi:10.11588/data/OU8YA1","Title":"3D Micro-Mapping of Subsidence Stations [Source Code and Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'3D Micro-Mapping of Subsidence Stations [Source Code and Data]' Description:'This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the ground surface in 3D point clouds. The web-based tool was used to quantify vertical displacement of the ground surface from multitemporal Terrestrial Laser Scanning data acquired at two sites in the permafrost-underlain tundra at Trail Valley Creek, NWT, Canada (https://www.uni-heidelberg.de/permasar).A video of the online tool is provided in addition to the source code and data.' Subject:' Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {3D point clouds; geoinformation; micro-mapping; web-based+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'3D Micro-Mapping of Subsidence Stations [Source Code and Data]' Description:'This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the ground surface in 3D point clouds. The web-based tool was used to quantify vertical displacement of the ground surface from multitemporal Terrestrial Laser Scanning data acquired at two sites in the permafrost-underlain tundra at Trail Valley Creek, NWT, Canada (https://www.uni-heidelberg.de/permasar).A video of the online tool is provided in addition to the source code and data.' Subject:'Computer and Information Science; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the ground surface in 3D point clouds. The web-based tool was used to quantify vertical displacement of the ground surface from multitemporal Terrestrial Laser Scanning data acquired at two sites in the permafrost-underlain tundra at Trail Valley Creek, NWT, Canada (https://www.uni-heidelberg.de/permasar).A video of the online tool is provided in addition to the source code and data.","Subject":" Earth and Environmental Sciences","Keywords":"3D point clouds; geoinformation; micro-mapping; web-based"},{"pid":"doi:10.11588/data/PFDJI1","Title":"Standardized Streamflow Index time series for 369 rivers across Europe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Standardized Streamflow Index time series for 369 rivers across Europe' Description:'There are many ways to characterize the streamflow drought hazard. Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use.This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. The dataset also contains ensembles of SSI time series derived from resampled data. These resampled SSI time series were used to investigate the sensitivity of the SSI to various sample properties as well as to estimate its uncertainty.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Drought; Drought identification; Drought monitoring and early warning; Sensitivity analyses; Standardized Streamflow Index; Streamflow drought+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Standardized Streamflow Index time series for 369 rivers across Europe' Description:'There are many ways to characterize the streamflow drought hazard. Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use.This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. The dataset also contains ensembles of SSI time series derived from resampled data. These resampled SSI time series were used to investigate the sensitivity of the SSI to various sample properties as well as to estimate its uncertainty.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"There are many ways to characterize the streamflow drought hazard. Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use.This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. The dataset also contains ensembles of SSI time series derived from resampled data. These resampled SSI time series were used to investigate the sensitivity of the SSI to various sample properties as well as to estimate its uncertainty.","Subject":"Earth and Environmental Sciences","Keywords":"Drought; Drought identification; Drought monitoring and early warning; Sensitivity analyses; Standardized Streamflow Index; Streamflow drought"},{"pid":"doi:10.11588/data/PRXZAS","Title":"Daily gridded soil moisture simulations on a 1 km resolution grid covering Baden-Württemberg","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Daily gridded soil moisture simulations on a 1 km resolution grid covering Baden-Württemberg' Description:'The dataset contains gridded daily soil moisture simulations for Baden-Württemberg. The simulations were caried out with the hydroloigcal model TRAIN. The TRAIN model was set up for a 1 km resolution grid over the study region, which encompasses a variety of different soil, land use and climate characteristics.Next to the raw data, the dataset contains two animations that display the development and persistence of soil moisture drought during two of the more prominent drought years (2003 and 2018).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Drought; Hydrological simulations; Soil moisture drought; TRAIN model+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Daily gridded soil moisture simulations on a 1 km resolution grid covering Baden-Württemberg' Description:'The dataset contains gridded daily soil moisture simulations for Baden-Württemberg. The simulations were caried out with the hydroloigcal model TRAIN. The TRAIN model was set up for a 1 km resolution grid over the study region, which encompasses a variety of different soil, land use and climate characteristics.Next to the raw data, the dataset contains two animations that display the development and persistence of soil moisture drought during two of the more prominent drought years (2003 and 2018).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset contains gridded daily soil moisture simulations for Baden-Württemberg. The simulations were caried out with the hydroloigcal model TRAIN. The TRAIN model was set up for a 1 km resolution grid over the study region, which encompasses a variety of different soil, land use and climate characteristics.Next to the raw data, the dataset contains two animations that display the development and persistence of soil moisture drought during two of the more prominent drought years (2003 and 2018).","Subject":"Earth and Environmental Sciences","Keywords":"Drought; Hydrological simulations; Soil moisture drought; TRAIN model"},{"pid":"doi:10.11588/data/PVQVWW","Title":"What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]' Description:'This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean energy transition. Can we identify a set of domestic-level variables that explain the member states’ participation across different CEM initiatives? And can we identify clusters of CEM initiatives for which the same set of domestic-level variables provide robust explanations? Theoretically, we concentrate on domestic factors and how these explain engagement patterns in high-level global forums. Our findings for 12 initiatives show that there is no single domestic factor that explains engagement levels equally well for all CEM initiatives. Our overarching finding is that the domestic determinants of engagement vary across the initiatives, suggesting that future research should attend more closely to their specific features.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Clean energy transition; climate change governance; domestic factors; ministers; ministries; polycentricity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]' Description:'This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean energy transition. Can we identify a set of domestic-level variables that explain the member states’ participation across different CEM initiatives? And can we identify clusters of CEM initiatives for which the same set of domestic-level variables provide robust explanations? Theoretically, we concentrate on domestic factors and how these explain engagement patterns in high-level global forums. Our findings for 12 initiatives show that there is no single domestic factor that explains engagement levels equally well for all CEM initiatives. Our overarching finding is that the domestic determinants of engagement vary across the initiatives, suggesting that future research should attend more closely to their specific features.' Subject:'Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean energy transition. Can we identify a set of domestic-level variables that explain the member states’ participation across different CEM initiatives? And can we identify clusters of CEM initiatives for which the same set of domestic-level variables provide robust explanations? Theoretically, we concentrate on domestic factors and how these explain engagement patterns in high-level global forums. Our findings for 12 initiatives show that there is no single domestic factor that explains engagement levels equally well for all CEM initiatives. Our overarching finding is that the domestic determinants of engagement vary across the initiatives, suggesting that future research should attend more closely to their specific features.","Subject":"Earth and Environmental Sciences","Keywords":"Clean energy transition; climate change governance; domestic factors; ministers; ministries; polycentricity"},{"pid":"doi:10.11588/data/QJEZHT","Title":"Sedimentological storm and tsunami record of Loch Flugarth, Shetland Islands (UK)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sedimentological storm and tsunami record of Loch Flugarth, Shetland Islands (UK)' Description:'Severe storm surges pose a major hazard to the coasts of northwestern Europe. Therefore, high-resolution records of past North Atlantic storminess are required to assess (i) whether storm activity has increased in recent decades and (ii) which future risks may arise from storm surges. This study aims to decipher storm-induced overwash processes in lacustrine sediment cores from a coastal lake on the Shetland Islands by investigating distinct sand and peat layers. This multi-proxy study utilises a range of methods such as; Bayesian AMS-14C and 137Cs age-depth models, cryptotephra, sedimentological, and geochemical (i.e., XRF, TOC) analyses, and the re-analysis of historical data. The XRF Si/Ti ratio and the unimodal grain-size distribution clearly show that the sand layers originate from the beach and thus are representative of storms originating from a northwesterly direction. Phases of higher storminess occurred 980–1050, 1150–1300, 1450–1550, 1820–1900 and 1950–2000 AD which correlate with a positive North Atlantic Oscillation mode enhancing water inflow into the Norwegian Sea. High-intensity storms from other directions than north(west) and a southward shift of storm tracks prevailed during the Little Ice Age (LIA, 1400–1850 AD). During warm phases of the last 1500 years, storm tracks have shifted towards the northeast Atlantic, thus confirming a possible trend for future storm track changes and increased storminess in the northern region of the North Sea as predicted by the Intergovernmental Panel on Climate Change (IPCC).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Little Ice Age; North Atlantic Oscillation (NAO); North Sea; Sand overwash; Storm frequency; Tsunami deposit+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sedimentological storm and tsunami record of Loch Flugarth, Shetland Islands (UK)' Description:'Severe storm surges pose a major hazard to the coasts of northwestern Europe. Therefore, high-resolution records of past North Atlantic storminess are required to assess (i) whether storm activity has increased in recent decades and (ii) which future risks may arise from storm surges. This study aims to decipher storm-induced overwash processes in lacustrine sediment cores from a coastal lake on the Shetland Islands by investigating distinct sand and peat layers. This multi-proxy study utilises a range of methods such as; Bayesian AMS-14C and 137Cs age-depth models, cryptotephra, sedimentological, and geochemical (i.e., XRF, TOC) analyses, and the re-analysis of historical data. The XRF Si/Ti ratio and the unimodal grain-size distribution clearly show that the sand layers originate from the beach and thus are representative of storms originating from a northwesterly direction. Phases of higher storminess occurred 980–1050, 1150–1300, 1450–1550, 1820–1900 and 1950–2000 AD which correlate with a positive North Atlantic Oscillation mode enhancing water inflow into the Norwegian Sea. High-intensity storms from other directions than north(west) and a southward shift of storm tracks prevailed during the Little Ice Age (LIA, 1400–1850 AD). During warm phases of the last 1500 years, storm tracks have shifted towards the northeast Atlantic, thus confirming a possible trend for future storm track changes and increased storminess in the northern region of the North Sea as predicted by the Intergovernmental Panel on Climate Change (IPCC).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Severe storm surges pose a major hazard to the coasts of northwestern Europe. Therefore, high-resolution records of past North Atlantic storminess are required to assess (i) whether storm activity has increased in recent decades and (ii) which future risks may arise from storm surges. This study aims to decipher storm-induced overwash processes in lacustrine sediment cores from a coastal lake on the Shetland Islands by investigating distinct sand and peat layers. This multi-proxy study utilises a range of methods such as; Bayesian AMS-14C and 137Cs age-depth models, cryptotephra, sedimentological, and geochemical (i.e., XRF, TOC) analyses, and the re-analysis of historical data. The XRF Si/Ti ratio and the unimodal grain-size distribution clearly show that the sand layers originate from the beach and thus are representative of storms originating from a northwesterly direction. Phases of higher storminess occurred 980–1050, 1150–1300, 1450–1550, 1820–1900 and 1950–2000 AD which correlate with a positive North Atlantic Oscillation mode enhancing water inflow into the Norwegian Sea. High-intensity storms from other directions than north(west) and a southward shift of storm tracks prevailed during the Little Ice Age (LIA, 1400–1850 AD). During warm phases of the last 1500 years, storm tracks have shifted towards the northeast Atlantic, thus confirming a possible trend for future storm track changes and increased storminess in the northern region of the North Sea as predicted by the Intergovernmental Panel on Climate Change (IPCC).","Subject":"Earth and Environmental Sciences","Keywords":"Little Ice Age; North Atlantic Oscillation (NAO); North Sea; Sand overwash; Storm frequency; Tsunami deposit"},{"pid":"doi:10.11588/data/QNA02B","Title":"VOSTOK - The Voxel Octree Solar Toolkit","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'VOSTOK - The Voxel Octree Solar Toolkit' Description:'VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the 'SOLPOS.H' library (http://rredc.nrel.gov/solar/codesandalgorithms/solpos/) to compute the angular position of the sun in the sky for a given location on Earth and a given moment in time. VOSTOK can use any 3D point cloud (e.g. LIDAR, SfM) as XYZ-locations (with surface normal vector information) for which the incoming sunlight shall be computed (the computation points).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {3D point cloud; raycasting; solar potential; VOSTOK+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'VOSTOK - The Voxel Octree Solar Toolkit' Description:'VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the 'SOLPOS.H' library (http://rredc.nrel.gov/solar/codesandalgorithms/solpos/) to compute the angular position of the sun in the sky for a given location on Earth and a given moment in time. VOSTOK can use any 3D point cloud (e.g. LIDAR, SfM) as XYZ-locations (with surface normal vector information) for which the incoming sunlight shall be computed (the computation points).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the 'SOLPOS.H' library (http://rredc.nrel.gov/solar/codesandalgorithms/solpos/) to compute the angular position of the sun in the sky for a given location on Earth and a given moment in time. VOSTOK can use any 3D point cloud (e.g. LIDAR, SfM) as XYZ-locations (with surface normal vector information) for which the incoming sunlight shall be computed (the computation points).","Subject":"Earth and Environmental Sciences","Keywords":"3D point cloud; raycasting; solar potential; VOSTOK"},{"pid":"doi:10.11588/data/RGM2AW","Title":"Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]' Description:'This repository contains data, figures and tables created for the paper 'Mapping physical access to healthcare for older adults in sub-Saharan Africa: A cross-sectional analysis with implications for the COVID-19 response', which is currently under review and available as preprint on medRxiv.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19 Access healthcare OpenStreetMap AccessMod+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]' Description:'This repository contains data, figures and tables created for the paper 'Mapping physical access to healthcare for older adults in sub-Saharan Africa: A cross-sectional analysis with implications for the COVID-19 response', which is currently under review and available as preprint on medRxiv.' Subject:'Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This repository contains data, figures and tables created for the paper 'Mapping physical access to healthcare for older adults in sub-Saharan Africa: A cross-sectional analysis with implications for the COVID-19 response', which is currently under review and available as preprint on medRxiv.","Subject":"Earth and Environmental Sciences","Keywords":"COVID-19 Access healthcare OpenStreetMap AccessMod"},{"pid":"doi:10.11588/data/TJNQZG","Title":"3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard' Description:'This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in South Japan. It is a densely vegetated mountainous region with varied topography and vegetation. The data set contains the original point cloud (reduced from a density of 5477 points per square meter to 100 points per square meter), a segmentation of the area based on characteristics in vegetation and topography, and filter pipelines for segments with different characteristics, and other data necessary. The data serve to test the AFwizard software which can create a DTM from the point cloud with varying filter and filter parameter selections based on varying segment characteristics (https://github.com/ssciwr/afwizard). The AFwizard adds flexibility to ground point filtering of 3D point clouds, which is a crucial step in a variety of applications of LiDAR technology. Digital Terrain Models (DTM) derived from filtered 3D point clouds serve various purposes and therefore, rather than creating one representation of the terrain that is supposed to be 'true', a variety of models can be derived from the same point cloud according to the intended usage of the DTM. The sample data were acquired during an archaeological research project in a mountainous and densely forested region in South Japan -- the Nakadake-Sanroku Kiln Site Center: LiDAR data were acquired in a subregion of 0.5 sqkm, a relatively small area characterized by frequent and sudden changes in topography and vegetation. The point cloud is very dense due to the technology chosen (UAV multicopter GLYPHON DYNAMICS GD-X8-SP; LiDAR scanner RIEGL VUX-1 UAV). Usage of the data is restricted to the citation of the article mentioned below.Version 2.0: 2022-07-21; Documentation (HowTo - Minimal Workflow) updated, data files tagged.' Subject:' Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Adaptive 3D point cloud filtering; AFwizard; archaeological prospection; Digital Terrain Model (DTM); Japan+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard' Description:'This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in South Japan. It is a densely vegetated mountainous region with varied topography and vegetation. The data set contains the original point cloud (reduced from a density of 5477 points per square meter to 100 points per square meter), a segmentation of the area based on characteristics in vegetation and topography, and filter pipelines for segments with different characteristics, and other data necessary. The data serve to test the AFwizard software which can create a DTM from the point cloud with varying filter and filter parameter selections based on varying segment characteristics (https://github.com/ssciwr/afwizard). The AFwizard adds flexibility to ground point filtering of 3D point clouds, which is a crucial step in a variety of applications of LiDAR technology. Digital Terrain Models (DTM) derived from filtered 3D point clouds serve various purposes and therefore, rather than creating one representation of the terrain that is supposed to be 'true', a variety of models can be derived from the same point cloud according to the intended usage of the DTM. The sample data were acquired during an archaeological research project in a mountainous and densely forested region in South Japan -- the Nakadake-Sanroku Kiln Site Center: LiDAR data were acquired in a subregion of 0.5 sqkm, a relatively small area characterized by frequent and sudden changes in topography and vegetation. The point cloud is very dense due to the technology chosen (UAV multicopter GLYPHON DYNAMICS GD-X8-SP; LiDAR scanner RIEGL VUX-1 UAV). Usage of the data is restricted to the citation of the article mentioned below.Version 2.0: 2022-07-21; Documentation (HowTo - Minimal Workflow) updated, data files tagged.' Subject:'Arts and Humanities; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in South Japan. It is a densely vegetated mountainous region with varied topography and vegetation. The data set contains the original point cloud (reduced from a density of 5477 points per square meter to 100 points per square meter), a segmentation of the area based on characteristics in vegetation and topography, and filter pipelines for segments with different characteristics, and other data necessary. The data serve to test the AFwizard software which can create a DTM from the point cloud with varying filter and filter parameter selections based on varying segment characteristics (https://github.com/ssciwr/afwizard). The AFwizard adds flexibility to ground point filtering of 3D point clouds, which is a crucial step in a variety of applications of LiDAR technology. Digital Terrain Models (DTM) derived from filtered 3D point clouds serve various purposes and therefore, rather than creating one representation of the terrain that is supposed to be 'true', a variety of models can be derived from the same point cloud according to the intended usage of the DTM. The sample data were acquired during an archaeological research project in a mountainous and densely forested region in South Japan -- the Nakadake-Sanroku Kiln Site Center: LiDAR data were acquired in a subregion of 0.5 sqkm, a relatively small area characterized by frequent and sudden changes in topography and vegetation. The point cloud is very dense due to the technology chosen (UAV multicopter GLYPHON DYNAMICS GD-X8-SP; LiDAR scanner RIEGL VUX-1 UAV). Usage of the data is restricted to the citation of the article mentioned below.Version 2.0: 2022-07-21; Documentation (HowTo - Minimal Workflow) updated, data files tagged.","Subject":" Earth and Environmental Sciences","Keywords":"Adaptive 3D point cloud filtering; AFwizard; archaeological prospection; Digital Terrain Model (DTM); Japan"},{"pid":"doi:10.11588/data/UYSAA5","Title":"Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code' Description:'Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 meters fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster-Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95:%, which was mainly influenced by the uncertainty of the public accessibility model.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {OpenStreetMap; volunteered geographic information; remote sensing; data fusion; land use; Dempster-Shafer theory; urban areas+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code' Description:'Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 meters fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster-Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95:%, which was mainly influenced by the uncertainty of the public accessibility model.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 meters fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster-Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95:%, which was mainly influenced by the uncertainty of the public accessibility model.","Subject":"Earth and Environmental Sciences","Keywords":"OpenStreetMap; volunteered geographic information; remote sensing; data fusion; land use; Dempster-Shafer theory; urban areas"},{"pid":"doi:10.11588/data/ZAMGCL","Title":"Capturing complex star dune dynamics - Repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Capturing complex star dune dynamics - Repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data [Data]' Description:'Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover as well as feedbacks with adjacent environments. However, an understanding of aeolian dynamics on star dune morphometries is still lacking sufficient detail and their influence for formation and evolution remain unclear. We therefore investigate dynamics of a complex star dune (Erg Chebbi, Morocco), by analyzing wind measurements compared to morphometric changes derived from multitemporal high-accuracy 3D observations during two surveys (October 2018 and February 2020). Using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) measurements and Terrestrial Laser Scanning (TLS), the reaction of a star dune surface to an observed constant unimodal sand-moving wind is presented. TLS point clouds are used for morphometric analysis as well as direct surface change analysis, which relates to sand transport. RTK-GNSS measurements enable the assessment of horizontal crest movement. Observed surface changes lead to the identification of an overall shielding effect, resulting in sand accumulation mainly on luv-sided slopes. Our results point to a self-sustained dune growth, which has not yet been described in such spatial detail. Steep slopes, often found on star dunes around the globe, seem to partly hinder up-slope sand transport. Though a comparatively short observation period, we therefore hypothesize that, besides wind intensity alone, slope angles are more decisive for sand transport than previously assumed. Our methodological approach of combining meteorological data and high-resolution multitemporal 3D elevation models can be used for a monitoring of all dunes forms and contributes to a general understanding of dune dynamics and evolution.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {3D change analysis; aeolian dynamics; morphometry; point clouds; self-sustained growth; star dune; terrestrial laser scanning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Capturing complex star dune dynamics - Repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data [Data]' Description:'Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover as well as feedbacks with adjacent environments. However, an understanding of aeolian dynamics on star dune morphometries is still lacking sufficient detail and their influence for formation and evolution remain unclear. We therefore investigate dynamics of a complex star dune (Erg Chebbi, Morocco), by analyzing wind measurements compared to morphometric changes derived from multitemporal high-accuracy 3D observations during two surveys (October 2018 and February 2020). Using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) measurements and Terrestrial Laser Scanning (TLS), the reaction of a star dune surface to an observed constant unimodal sand-moving wind is presented. TLS point clouds are used for morphometric analysis as well as direct surface change analysis, which relates to sand transport. RTK-GNSS measurements enable the assessment of horizontal crest movement. Observed surface changes lead to the identification of an overall shielding effect, resulting in sand accumulation mainly on luv-sided slopes. Our results point to a self-sustained dune growth, which has not yet been described in such spatial detail. Steep slopes, often found on star dunes around the globe, seem to partly hinder up-slope sand transport. Though a comparatively short observation period, we therefore hypothesize that, besides wind intensity alone, slope angles are more decisive for sand transport than previously assumed. Our methodological approach of combining meteorological data and high-resolution multitemporal 3D elevation models can be used for a monitoring of all dunes forms and contributes to a general understanding of dune dynamics and evolution.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover as well as feedbacks with adjacent environments. However, an understanding of aeolian dynamics on star dune morphometries is still lacking sufficient detail and their influence for formation and evolution remain unclear. We therefore investigate dynamics of a complex star dune (Erg Chebbi, Morocco), by analyzing wind measurements compared to morphometric changes derived from multitemporal high-accuracy 3D observations during two surveys (October 2018 and February 2020). Using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) measurements and Terrestrial Laser Scanning (TLS), the reaction of a star dune surface to an observed constant unimodal sand-moving wind is presented. TLS point clouds are used for morphometric analysis as well as direct surface change analysis, which relates to sand transport. RTK-GNSS measurements enable the assessment of horizontal crest movement. Observed surface changes lead to the identification of an overall shielding effect, resulting in sand accumulation mainly on luv-sided slopes. Our results point to a self-sustained dune growth, which has not yet been described in such spatial detail. Steep slopes, often found on star dunes around the globe, seem to partly hinder up-slope sand transport. Though a comparatively short observation period, we therefore hypothesize that, besides wind intensity alone, slope angles are more decisive for sand transport than previously assumed. Our methodological approach of combining meteorological data and high-resolution multitemporal 3D elevation models can be used for a monitoring of all dunes forms and contributes to a general understanding of dune dynamics and evolution.","Subject":"Earth and Environmental Sciences","Keywords":"3D change analysis; aeolian dynamics; morphometry; point clouds; self-sustained growth; star dune; terrestrial laser scanning"},{"pid":"doi:10.11588/data/ZCMVUY","Title":"Climate signals in stable carbon and hydrogen isotopes of lignin methoxy groups from southern German beech trees [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Climate signals in stable carbon and hydrogen isotopes of lignin methoxy groups from southern German beech trees [data]' Description:'Stable hydrogen and carbon isotope ratios of wood lignin methoxy groups (δ13CLM and δ2HLM values) have been shown to be reliable proxies of past temperature variations. Previous studies showed that δ2HLM values even work in temperate environments where classical tree-ring width and maximum latewood density measurements are less successful. Here, we analyse annually resolved δ13CLM values from 1916-2015 of four beech trees (Fagus sylvatica) from a temperate site near Hohenpeißenberg in southern Germany and compare these data with regional to continental scale climate observations. Initial δ13CLM values were corrected for the Suess effect (a decrease of δ13C in atmospheric CO2) and physiological tree responses to increasing atmospheric CO2 concentrations considering a range of published discrimination factors. The calibration of δ13CLM chronologies against instrumental data reveals highest correlations with regional summer (r = 0.68) and mean annual temperatures (r = 0.66), as well as previous-year September to current-year August temperatures (r = 0.61), all calculated from 1916-2015 and reaching p 0.05). The new δ13CLM chronologies were finally compared with previously produced δ2HLM values of the same trees to evaluate the additional gain of assessing past climate variability using a dual-isotope approach. Compared to δ13CLM, δ2HLM values correlates substantially stronger with large-scale temperatures averaged over western Europe (rprev.Sep-Aug = 0.69), whereas only weak and mainly insignificant correlations are obtained between precipitation and both isotope chronologies (δ13CLM and δ2HLM values). Our results indicate great potential of using δ13CLM values from temperate environments as a proxy for local temperatures, and in combination with δ2HLM values, to assess regional to sub-continental scale temperature patterns.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {climate reconstructions; stable carbon isotopes; stable hydrogen isotopes; wood lignin methoxy groups+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Climate signals in stable carbon and hydrogen isotopes of lignin methoxy groups from southern German beech trees [data]' Description:'Stable hydrogen and carbon isotope ratios of wood lignin methoxy groups (δ13CLM and δ2HLM values) have been shown to be reliable proxies of past temperature variations. Previous studies showed that δ2HLM values even work in temperate environments where classical tree-ring width and maximum latewood density measurements are less successful. Here, we analyse annually resolved δ13CLM values from 1916-2015 of four beech trees (Fagus sylvatica) from a temperate site near Hohenpeißenberg in southern Germany and compare these data with regional to continental scale climate observations. Initial δ13CLM values were corrected for the Suess effect (a decrease of δ13C in atmospheric CO2) and physiological tree responses to increasing atmospheric CO2 concentrations considering a range of published discrimination factors. The calibration of δ13CLM chronologies against instrumental data reveals highest correlations with regional summer (r = 0.68) and mean annual temperatures (r = 0.66), as well as previous-year September to current-year August temperatures (r = 0.61), all calculated from 1916-2015 and reaching p 0.05). The new δ13CLM chronologies were finally compared with previously produced δ2HLM values of the same trees to evaluate the additional gain of assessing past climate variability using a dual-isotope approach. Compared to δ13CLM, δ2HLM values correlates substantially stronger with large-scale temperatures averaged over western Europe (rprev.Sep-Aug = 0.69), whereas only weak and mainly insignificant correlations are obtained between precipitation and both isotope chronologies (δ13CLM and δ2HLM values). Our results indicate great potential of using δ13CLM values from temperate environments as a proxy for local temperatures, and in combination with δ2HLM values, to assess regional to sub-continental scale temperature patterns.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Stable hydrogen and carbon isotope ratios of wood lignin methoxy groups (δ13CLM and δ2HLM values) have been shown to be reliable proxies of past temperature variations. Previous studies showed that δ2HLM values even work in temperate environments where classical tree-ring width and maximum latewood density measurements are less successful. Here, we analyse annually resolved δ13CLM values from 1916-2015 of four beech trees (Fagus sylvatica) from a temperate site near Hohenpeißenberg in southern Germany and compare these data with regional to continental scale climate observations. Initial δ13CLM values were corrected for the Suess effect (a decrease of δ13C in atmospheric CO2) and physiological tree responses to increasing atmospheric CO2 concentrations considering a range of published discrimination factors. The calibration of δ13CLM chronologies against instrumental data reveals highest correlations with regional summer (r = 0.68) and mean annual temperatures (r = 0.66), as well as previous-year September to current-year August temperatures (r = 0.61), all calculated from 1916-2015 and reaching p 0.05). The new δ13CLM chronologies were finally compared with previously produced δ2HLM values of the same trees to evaluate the additional gain of assessing past climate variability using a dual-isotope approach. Compared to δ13CLM, δ2HLM values correlates substantially stronger with large-scale temperatures averaged over western Europe (rprev.Sep-Aug = 0.69), whereas only weak and mainly insignificant correlations are obtained between precipitation and both isotope chronologies (δ13CLM and δ2HLM values). Our results indicate great potential of using δ13CLM values from temperate environments as a proxy for local temperatures, and in combination with δ2HLM values, to assess regional to sub-continental scale temperature patterns.","Subject":"Earth and Environmental Sciences","Keywords":"climate reconstructions; stable carbon isotopes; stable hydrogen isotopes; wood lignin methoxy groups"},{"pid":"doi:10.15139/S3/1SRKDN","Title":"Replication Data for: Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs' Description:'PM2.5 datasets used in the manuscript: 'Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs.' Includes 3 estimates of daily average total PM2.5 concentrations (ug/m^3), all provided for Oct. 8-20, 2017 at a 1-km resolution: (1) CC-CMAQ (CCCMAQ_TotalPM25_1km_Oct8-20.csv) (2) BME kriging of observations (BMEKriging_TotalPM25_1km_Oct8-20.csv) (3) BME data fusion of observations, CC-CMAQ, and satellite-derived estimates (BMEDataFusion_TotalPM25_1km_Oct8-20.csv) Includes 2 estimates of background PM2.5: (1) CMAQ percent attributable (CMAQPercentAttributable_BackgroundPM25_1km_Oct8-20.csv) - percent of PM2.5 attributable to wildfire emissions. Provided for Oct. 8-20, 2017 at a 1-km resolution (2) October 2016 (October2016_BackgroundPM25_1km.csv) - Monthly average PM2.5 concentrations (ug/m^3). Provided for October 2016 at a 1-km resolution More detail on the methods used to create the total PM2.5 surfaces can be found in: 'Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5.' (https://doi.org/10.1021/acs.est.0c03761).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {PM2.5, fire-originated, wildfire smoke, data fusion, California, October 2017 wildfires+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs' Description:'PM2.5 datasets used in the manuscript: 'Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs.' Includes 3 estimates of daily average total PM2.5 concentrations (ug/m^3), all provided for Oct. 8-20, 2017 at a 1-km resolution: (1) CC-CMAQ (CCCMAQ_TotalPM25_1km_Oct8-20.csv) (2) BME kriging of observations (BMEKriging_TotalPM25_1km_Oct8-20.csv) (3) BME data fusion of observations, CC-CMAQ, and satellite-derived estimates (BMEDataFusion_TotalPM25_1km_Oct8-20.csv) Includes 2 estimates of background PM2.5: (1) CMAQ percent attributable (CMAQPercentAttributable_BackgroundPM25_1km_Oct8-20.csv) - percent of PM2.5 attributable to wildfire emissions. Provided for Oct. 8-20, 2017 at a 1-km resolution (2) October 2016 (October2016_BackgroundPM25_1km.csv) - Monthly average PM2.5 concentrations (ug/m^3). Provided for October 2016 at a 1-km resolution More detail on the methods used to create the total PM2.5 surfaces can be found in: 'Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5.' (https://doi.org/10.1021/acs.est.0c03761).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"PM2.5 datasets used in the manuscript: 'Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs.' Includes 3 estimates of daily average total PM2.5 concentrations (ug/m^3), all provided for Oct. 8-20, 2017 at a 1-km resolution: (1) CC-CMAQ (CCCMAQ_TotalPM25_1km_Oct8-20.csv) (2) BME kriging of observations (BMEKriging_TotalPM25_1km_Oct8-20.csv) (3) BME data fusion of observations, CC-CMAQ, and satellite-derived estimates (BMEDataFusion_TotalPM25_1km_Oct8-20.csv) Includes 2 estimates of background PM2.5: (1) CMAQ percent attributable (CMAQPercentAttributable_BackgroundPM25_1km_Oct8-20.csv) - percent of PM2.5 attributable to wildfire emissions. Provided for Oct. 8-20, 2017 at a 1-km resolution (2) October 2016 (October2016_BackgroundPM25_1km.csv) - Monthly average PM2.5 concentrations (ug/m^3). Provided for October 2016 at a 1-km resolution More detail on the methods used to create the total PM2.5 surfaces can be found in: 'Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5.' (https://doi.org/10.1021/acs.est.0c03761).","Subject":"Earth and Environmental Sciences","Keywords":"PM2.5, fire-originated, wildfire smoke, data fusion, California, October 2017 wildfires"},{"pid":"doi:10.15139/S3/4QEIGO","Title":"A comprehensive dataset of Superfund sites and their chemicals across the United States","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A comprehensive dataset of Superfund sites and their chemicals across the United States' Description:'The Superfund dataset includes deleted, inactive, and active Superfund geolocations and their associated contaminant presences, contaminant media, description of site location (operable unit), site hazard assessment, and years listed (1981-2021). Additionally, the categorical health endpoints dataset includes known associations between Superfund site contaminants and categorical health endpoints (curated from the Comparative Toxicogenomics Database)' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Environmental Health Sciences; National Priorities List (NPL); Superfund Sites; U.S. Contaminants+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A comprehensive dataset of Superfund sites and their chemicals across the United States' Description:'The Superfund dataset includes deleted, inactive, and active Superfund geolocations and their associated contaminant presences, contaminant media, description of site location (operable unit), site hazard assessment, and years listed (1981-2021). Additionally, the categorical health endpoints dataset includes known associations between Superfund site contaminants and categorical health endpoints (curated from the Comparative Toxicogenomics Database)' Subject:'Earth and Environmental Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Superfund dataset includes deleted, inactive, and active Superfund geolocations and their associated contaminant presences, contaminant media, description of site location (operable unit), site hazard assessment, and years listed (1981-2021). Additionally, the categorical health endpoints dataset includes known associations between Superfund site contaminants and categorical health endpoints (curated from the Comparative Toxicogenomics Database)","Subject":"Earth and Environmental Sciences","Keywords":"Environmental Health Sciences; National Priorities List (NPL); Superfund Sites; U.S. Contaminants"},{"pid":"doi:10.15139/S3/6ILDLJ","Title":"SPURS-1 ROMS 1-Jan-2012 - 31-Dec-2012","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SPURS-1 ROMS 1-Jan-2012 - 31-Dec-2012' Description:'These files contain output from the ROMS model for the subtropical North Atlantic, 1-Jan-2012 - 31-Dec-2012. There are 4 files, the first one is for 1-Jan - 31-March, the second is for 1-Apr - 30-June, etc. The variables in the files are salinity (s_da, in psu), temperature (t_da, in degC), eastward velocity (u_da, in m/s), northward velocity (v_da, in m/s),vertical velocity (w_da, in m/s) and vorticity (s^-1). The spurs_grd.nc.1 file contains the grid on which horizontal velocity components u and v and density / salinity are computed. Files in this folder are compressed. Uncompressed files are in netCDF format. The vertical grid levels (in reverse order) for the model files are% p_roms = [0., 5., 10., 15., 20., 25., 30., 35., 40., 45., ...% 50., 55., 60., 70., 80., ...% 90., 100., 115., 135., 155., ...% 180., 210., 250., 300., 360., ...% 430., 510., 600., 700., 810., 930., 1060];' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SPURS-1 ROMS 1-Jan-2012 - 31-Dec-2012' Description:'These files contain output from the ROMS model for the subtropical North Atlantic, 1-Jan-2012 - 31-Dec-2012. There are 4 files, the first one is for 1-Jan - 31-March, the second is for 1-Apr - 30-June, etc. The variables in the files are salinity (s_da, in psu), temperature (t_da, in degC), eastward velocity (u_da, in m/s), northward velocity (v_da, in m/s),vertical velocity (w_da, in m/s) and vorticity (s^-1). The spurs_grd.nc.1 file contains the grid on which horizontal velocity components u and v and density / salinity are computed. Files in this folder are compressed. Uncompressed files are in netCDF format. The vertical grid levels (in reverse order) for the model files are% p_roms = [0., 5., 10., 15., 20., 25., 30., 35., 40., 45., ...% 50., 55., 60., 70., 80., ...% 90., 100., 115., 135., 155., ...% 180., 210., 250., 300., 360., ...% 430., 510., 600., 700., 810., 930., 1060];' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These files contain output from the ROMS model for the subtropical North Atlantic, 1-Jan-2012 - 31-Dec-2012. There are 4 files, the first one is for 1-Jan - 31-March, the second is for 1-Apr - 30-June, etc. The variables in the files are salinity (s_da, in psu), temperature (t_da, in degC), eastward velocity (u_da, in m/s), northward velocity (v_da, in m/s),vertical velocity (w_da, in m/s) and vorticity (s^-1). The spurs_grd.nc.1 file contains the grid on which horizontal velocity components u and v and density / salinity are computed. Files in this folder are compressed. Uncompressed files are in netCDF format. The vertical grid levels (in reverse order) for the model files are% p_roms = [0., 5., 10., 15., 20., 25., 30., 35., 40., 45., ...% 50., 55., 60., 70., 80., ...% 90., 100., 115., 135., 155., ...% 180., 210., 250., 300., 360., ...% 430., 510., 600., 700., 810., 930., 1060];","Subject":"Earth and Environmental Sciences","Keywords":"EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY"},{"pid":"doi:10.15139/S3/6VB8BC","Title":"Replication Data for: How are cities pledging net zero? A computational approach to analyzing subnational climate strategies","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: How are cities pledging net zero? A computational approach to analyzing subnational climate strategies' Description:'Replication data for paper, 'How are cities pledging net zero? A computational approach to analyzing subnational climate strategies.'' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {subnational climate policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: How are cities pledging net zero? A computational approach to analyzing subnational climate strategies' Description:'Replication data for paper, 'How are cities pledging net zero? A computational approach to analyzing subnational climate strategies.'' Subject:'Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication data for paper, 'How are cities pledging net zero? A computational approach to analyzing subnational climate strategies.'","Subject":"Earth and Environmental Sciences","Keywords":"subnational climate policy"},{"pid":"doi:10.15139/S3/9KGNJY","Title":"Replication Data for: Does Removal of Federal Subsidies Discourage Urban Development? An Evaluation of the US Coastal Barrier Resources Act","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Does Removal of Federal Subsidies Discourage Urban Development? An Evaluation of the US Coastal Barrier Resources Act' Description:'Urban development relies on many factors to remain viable, including infrastructure, services, and government provisions and subsidies. However, in situations involving federal or state level policy, development responds not just to one regulatory signal, but also to multiple signals from overlapping and competing jurisdictions. The 1982 U.S. Coastal Barrier Resources Act (CoBRA) offers an opportunity to study when and how development restrictions and economic disincentives protect natural resources by stopping or slowing urban development in management regimes with distributed authority and responsibility. CoBRA prohibits federal financial assistance for infrastructure, post-storm disaster relief, and flood insurance in designated sections (CoBRA units) of coastal barriers. How has CoBRA’s removal of these subsidies affected rates and types of urban development? Using building footprint and real estate data (n=1,385,552 parcels), we compare density of built structures, land use types, residential house size, and land values within and outside of CoBRA units in eight Southeast and Gulf Coast states. We show that CoBRA is associated with reduced development rates in designated coastal barriers. We also demonstrate how local responses may counteract withdrawal of federal subsidies. As attention increases towards improving urban resilience in high hazard areas, this work contributes to understanding how limitations on infrastructure and insurance subsidies can affect outcomes where overlapping jurisdictions have competing goals.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Community development; Conservation of natural resources; Federal aid to community development; United States Coastal Barrier Resources Act; Urbanization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Does Removal of Federal Subsidies Discourage Urban Development? An Evaluation of the US Coastal Barrier Resources Act' Description:'Urban development relies on many factors to remain viable, including infrastructure, services, and government provisions and subsidies. However, in situations involving federal or state level policy, development responds not just to one regulatory signal, but also to multiple signals from overlapping and competing jurisdictions. The 1982 U.S. Coastal Barrier Resources Act (CoBRA) offers an opportunity to study when and how development restrictions and economic disincentives protect natural resources by stopping or slowing urban development in management regimes with distributed authority and responsibility. CoBRA prohibits federal financial assistance for infrastructure, post-storm disaster relief, and flood insurance in designated sections (CoBRA units) of coastal barriers. How has CoBRA’s removal of these subsidies affected rates and types of urban development? Using building footprint and real estate data (n=1,385,552 parcels), we compare density of built structures, land use types, residential house size, and land values within and outside of CoBRA units in eight Southeast and Gulf Coast states. We show that CoBRA is associated with reduced development rates in designated coastal barriers. We also demonstrate how local responses may counteract withdrawal of federal subsidies. As attention increases towards improving urban resilience in high hazard areas, this work contributes to understanding how limitations on infrastructure and insurance subsidies can affect outcomes where overlapping jurisdictions have competing goals.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Urban development relies on many factors to remain viable, including infrastructure, services, and government provisions and subsidies. However, in situations involving federal or state level policy, development responds not just to one regulatory signal, but also to multiple signals from overlapping and competing jurisdictions. The 1982 U.S. Coastal Barrier Resources Act (CoBRA) offers an opportunity to study when and how development restrictions and economic disincentives protect natural resources by stopping or slowing urban development in management regimes with distributed authority and responsibility. CoBRA prohibits federal financial assistance for infrastructure, post-storm disaster relief, and flood insurance in designated sections (CoBRA units) of coastal barriers. How has CoBRA’s removal of these subsidies affected rates and types of urban development? Using building footprint and real estate data (n=1,385,552 parcels), we compare density of built structures, land use types, residential house size, and land values within and outside of CoBRA units in eight Southeast and Gulf Coast states. We show that CoBRA is associated with reduced development rates in designated coastal barriers. We also demonstrate how local responses may counteract withdrawal of federal subsidies. As attention increases towards improving urban resilience in high hazard areas, this work contributes to understanding how limitations on infrastructure and insurance subsidies can affect outcomes where overlapping jurisdictions have competing goals.","Subject":"Earth and Environmental Sciences","Keywords":"Community development; Conservation of natural resources; Federal aid to community development; United States Coastal Barrier Resources Act; Urbanization"},{"pid":"doi:10.15139/S3/BDQG9O","Title":"A dataset describing well water metal/metalloid contamination of private wells in North Carolina, 1998-2019","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A dataset describing well water metal/metalloid contamination of private wells in North Carolina, 1998-2019' Description:'Well water tests from October 19, 1998 to May 20, 2019 conducted by the NC Department of Health and Human Services (NC DHHS) State Laboratory for Public Health were compiled. These data underwent quality assessment and control protocols, and were geocoded resulting in a dataset of n=117,960 well water test reports, spanning all 100 counties and 89% of census tracts. County-level and census tract-level descriptive statistics and number (and percentage) of exceedances of federal and state standards were calculated for 28 different metals/metalloids. The included metals/metalloids are: aluminum, antimony, arsenic, barium, beryllium, boron, cadmium, calcium, chromium, cobalt, copper, hexavalent chromium, iron, lead, magnesium, manganese, mercury, molybdenum, nickel, potassium, selenium, silver, sodium, strontium, thallium, uranium, vanadium, zinc. A total of three datasets are presented herein: Dataset #1: County-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #2: Census tract-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #3: Relevant standards and screening levels for metals/metalloids in NC groundwater as of July 2021. Each dataset is accompanied with a detailed codebook.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {metalloids; metals; private wells+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A dataset describing well water metal/metalloid contamination of private wells in North Carolina, 1998-2019' Description:'Well water tests from October 19, 1998 to May 20, 2019 conducted by the NC Department of Health and Human Services (NC DHHS) State Laboratory for Public Health were compiled. These data underwent quality assessment and control protocols, and were geocoded resulting in a dataset of n=117,960 well water test reports, spanning all 100 counties and 89% of census tracts. County-level and census tract-level descriptive statistics and number (and percentage) of exceedances of federal and state standards were calculated for 28 different metals/metalloids. The included metals/metalloids are: aluminum, antimony, arsenic, barium, beryllium, boron, cadmium, calcium, chromium, cobalt, copper, hexavalent chromium, iron, lead, magnesium, manganese, mercury, molybdenum, nickel, potassium, selenium, silver, sodium, strontium, thallium, uranium, vanadium, zinc. A total of three datasets are presented herein: Dataset #1: County-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #2: Census tract-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #3: Relevant standards and screening levels for metals/metalloids in NC groundwater as of July 2021. Each dataset is accompanied with a detailed codebook.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Well water tests from October 19, 1998 to May 20, 2019 conducted by the NC Department of Health and Human Services (NC DHHS) State Laboratory for Public Health were compiled. These data underwent quality assessment and control protocols, and were geocoded resulting in a dataset of n=117,960 well water test reports, spanning all 100 counties and 89% of census tracts. County-level and census tract-level descriptive statistics and number (and percentage) of exceedances of federal and state standards were calculated for 28 different metals/metalloids. The included metals/metalloids are: aluminum, antimony, arsenic, barium, beryllium, boron, cadmium, calcium, chromium, cobalt, copper, hexavalent chromium, iron, lead, magnesium, manganese, mercury, molybdenum, nickel, potassium, selenium, silver, sodium, strontium, thallium, uranium, vanadium, zinc. A total of three datasets are presented herein: Dataset #1: County-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #2: Census tract-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #3: Relevant standards and screening levels for metals/metalloids in NC groundwater as of July 2021. Each dataset is accompanied with a detailed codebook.","Subject":"Earth and Environmental Sciences","Keywords":"metalloids; metals; private wells"},{"pid":"doi:10.15139/S3/F2KJSK","Title":"EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km' Description:'Data Summary:EQUATES: EPA’s Air QUAlity TimE Series ProjectThe US EPA developed a set of modeled meteorology, emissions, air quality and pollutant deposition spanning the years 2002 through 2017. Modeled datasets cover the Conterminous US (CONUS) at a 12km horizontal grid spacing (12US1) and the Northern Hemisphere at a 108km (108NHEMI) using WRFv4.1.1 for meteorology and CMAQv5.3.2 for air quality modeling. New hemispheric and North American emissions inventories were developed using, to the extent possible, consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. Collectively these model outputs represent 100s of TB of data. We have selected a subset of the model input and output datasets that we hope will be most useful to the air quality research community. These datasets include:Emissions inventory files for the CONUS for 2002-2017 suitable for input into the Sparse Matrix Operator Kernel Emissions (SMOKE) emission processor CMAQ-ready emissions, initial conditions and boundary condition input files for the 12US1 domain for 2013-2017 CMAQ-ready meteorology files for the 12US1 domain for 2013-2017. Matched surface meteorology model output with surface observations for 2002-2019 Daily average CMAQ estimated concentration for 14 pollutants for the 12US1 domain for 2002-2017 Annual total CMAQ estimated deposition (wet and dry) for the 12US1 domain for 2002-2017 Daily average 3D CMAQ output for 44 layers for the 108NHEMI domain for 2009–2017Note: The modeling datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data. The attached zip files include the CMAQ source code used for running CMAQ on the 12US1 and 108NHEMI domains.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2002; 2003; 2004; 2005; 2006; 2007; 2008; 2009; 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; CMAQ; CMAQv5.3.2+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km' Description:'Data Summary:EQUATES: EPA’s Air QUAlity TimE Series ProjectThe US EPA developed a set of modeled meteorology, emissions, air quality and pollutant deposition spanning the years 2002 through 2017. Modeled datasets cover the Conterminous US (CONUS) at a 12km horizontal grid spacing (12US1) and the Northern Hemisphere at a 108km (108NHEMI) using WRFv4.1.1 for meteorology and CMAQv5.3.2 for air quality modeling. New hemispheric and North American emissions inventories were developed using, to the extent possible, consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. Collectively these model outputs represent 100s of TB of data. We have selected a subset of the model input and output datasets that we hope will be most useful to the air quality research community. These datasets include:Emissions inventory files for the CONUS for 2002-2017 suitable for input into the Sparse Matrix Operator Kernel Emissions (SMOKE) emission processor CMAQ-ready emissions, initial conditions and boundary condition input files for the 12US1 domain for 2013-2017 CMAQ-ready meteorology files for the 12US1 domain for 2013-2017. Matched surface meteorology model output with surface observations for 2002-2019 Daily average CMAQ estimated concentration for 14 pollutants for the 12US1 domain for 2002-2017 Annual total CMAQ estimated deposition (wet and dry) for the 12US1 domain for 2002-2017 Daily average 3D CMAQ output for 44 layers for the 108NHEMI domain for 2009–2017Note: The modeling datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data. The attached zip files include the CMAQ source code used for running CMAQ on the 12US1 and 108NHEMI domains.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data Summary:EQUATES: EPA’s Air QUAlity TimE Series ProjectThe US EPA developed a set of modeled meteorology, emissions, air quality and pollutant deposition spanning the years 2002 through 2017. Modeled datasets cover the Conterminous US (CONUS) at a 12km horizontal grid spacing (12US1) and the Northern Hemisphere at a 108km (108NHEMI) using WRFv4.1.1 for meteorology and CMAQv5.3.2 for air quality modeling. New hemispheric and North American emissions inventories were developed using, to the extent possible, consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. Collectively these model outputs represent 100s of TB of data. We have selected a subset of the model input and output datasets that we hope will be most useful to the air quality research community. These datasets include:Emissions inventory files for the CONUS for 2002-2017 suitable for input into the Sparse Matrix Operator Kernel Emissions (SMOKE) emission processor CMAQ-ready emissions, initial conditions and boundary condition input files for the 12US1 domain for 2013-2017 CMAQ-ready meteorology files for the 12US1 domain for 2013-2017. Matched surface meteorology model output with surface observations for 2002-2019 Daily average CMAQ estimated concentration for 14 pollutants for the 12US1 domain for 2002-2017 Annual total CMAQ estimated deposition (wet and dry) for the 12US1 domain for 2002-2017 Daily average 3D CMAQ output for 44 layers for the 108NHEMI domain for 2009–2017Note: The modeling datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data. The attached zip files include the CMAQ source code used for running CMAQ on the 12US1 and 108NHEMI domains.","Subject":"Earth and Environmental Sciences","Keywords":"2002; 2003; 2004; 2005; 2006; 2007; 2008; 2009; 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; CMAQ; CMAQv5.3.2"},{"pid":"doi:10.15139/S3/F2KJSK","Title":"EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km' Description:'File Location and Download Instructions:Link to EQUATES Data Dictionary and Date Use StatementLink to EQUATES emissions, meteorology, and air quality dataLink to sample scripts for downloading EQUATES datasetsLink to EQUATES tutorial and sample run scripts for running CMAQ with EQUATES input dataPlease direct questions about the EQUATES datasets to the CMAS User Forum EQUATES category.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2002; 2003; 2004; 2005; 2006; 2007; 2008; 2009; 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; CMAQ; CMAQv5.3.2+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km' Description:'File Location and Download Instructions:Link to EQUATES Data Dictionary and Date Use StatementLink to EQUATES emissions, meteorology, and air quality dataLink to sample scripts for downloading EQUATES datasetsLink to EQUATES tutorial and sample run scripts for running CMAQ with EQUATES input dataPlease direct questions about the EQUATES datasets to the CMAS User Forum EQUATES category.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"File Location and Download Instructions:Link to EQUATES Data Dictionary and Date Use StatementLink to EQUATES emissions, meteorology, and air quality dataLink to sample scripts for downloading EQUATES datasetsLink to EQUATES tutorial and sample run scripts for running CMAQ with EQUATES input dataPlease direct questions about the EQUATES datasets to the CMAS User Forum EQUATES category.","Subject":"Earth and Environmental Sciences","Keywords":"2002; 2003; 2004; 2005; 2006; 2007; 2008; 2009; 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; CMAQ; CMAQv5.3.2"},{"pid":"doi:10.15139/S3/F2KJSK","Title":"EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km' Description:'Simulation Settings and Inputs:Meteorology Inputs for 108NHEMI and 12US1 CMAQ SimulationsModel: Weather Research Forecast model, version 4.1.1 (WRF v4.1.1) Land Cover: 500m MODIS Sea surface temperature data (12US1 only): NAM SST Wind data (12US1 only): VAD Data assimilation analysis fields for 108NHEM: GFS 1 degree data for 2002-2017 Data assimilation analysis fields for 12US1: 40km AWIP for 2002-2005; 12km NAM for 2006-2017 with ERA data used when NAM data was missingWRF v4.1.1 options: Morrison Microphysics; RRTMG longwave and shortwave radiation; Pleim Surface Layer; Pleim-Xiu Land-Surface model; ACM2 Boundary layer mixing; Kain-Fritsch + Ma and Tan (2009) trigger 2 (KF2) for sub-grid convection scheme; 3-D grid nudging (GRID_FDDA) and indirect soil nudging (pxlsm_soil_nudge); no lightning assimilation WRF post-processing: Meteorology-Chemistry Input Processor (MCIP)v5.0.Emissions Inputs for 108NHEMI CMAQ SimulationUS Anthropogenic emissions: EQUATES 12km emissions gridded for the 108 km domainNon-US Anthropogenic emissions: 2010 HTAP with country/sector/year scaling factors based on CEDS data for 2002-2014. 2015-2017 emissions created using 2014 CEDS scaling factors. Emissions supplemented with Canada emissions from Environment and Climate Change Canada and China emissions from Zhao et al. (2018) Lightning NO: GEIA based monthly climatology using vertical profiles applied by season and latitudeFire emissions: SMARTFIRE2 and BlueSky Pipeline (U.S.) and FINNv1.5 (non-U.S.)Biogenic VOC: Hourly CAMSv2.1 data (Sindelarova et al.; extension of Megan2.1) for 2002-2017 based on monthly mean values with diurnal scaling factors Soil NO: Hourly CAMSv2.1 data (CAMS_D81.3.8.2; extension of Yienger and Levy (1995)) for 2002-2017 based on monthly mean values and diurnal scaling factors CMAQ Model for Northern Hemisphere Domain (108NHEMI)Model version: 5.3.2.1 (v5.3.2 with some bugfixes later released in version 5.3.3 and modifications to halogen chemistry and O3-PV scaling) No bi-directional NH3 air-surface exchangeSTAGE module for dry deposition Online windblown dust module turned on Chemical mechanism: CB6R3M_AE7_KMTBRAerosol module: aero7Domain: Northern Hemisphere using a 108 km grid size and Polar Stereographic projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 44 layers from the surface to the top of the free troposphereThe CMAQ build directory with the source code used to run CMAQv5.3.2.1 on the Northern Hemisphere domain is included with this Dataverse entry. Emissions Inputs for 12US1 CMAQ SimulationAnthropogenic emissions: The EQUATES base year emissions are from the 2017 NEI. For each sector in the 2017 NEI one of four approaches was applied to estimate emissions for the entire 2002-2017 time period: (1) Develop new methods for creating consistent emissions for all years (2) Use 2016 or 2017 model platform emissions and create scaling factors based on activity data and/or emission control information (3) Use existing modeling platform data for earlier years (2002-2015) (4) Leave emissions flat at 2017 NEI levels.See Foley et al (2020) for a high-level summary of the approach that was used for each sector. Additional information is documented in a manuscript that is currently under internal review. Lightning NO: parameterized lightning NO estimated online in CMAQ Biogenics: BEIS model run online in CMAQ with BELD5 land use data Boundary Condition Inputs for 12US1 CMAQ SimulationHourly values from CMAQv5.3.2.1 simulation over the Northern HemisphereCMAQ Model for Continental US Domain (12US1) Model version: 5.3.2.1 (v5.3.2 with some bugfixes later released in version 5.3.3)Bi-directional NH3 air-surface exchange: Massad formulationSTAGE module for dry deposition with land use specific deposition velocities included Online wind blown dust module not used Chemical mechanism: Carbon Bond 6 version r3 (CB6r3)Aerosol module: aero7Domain: Continental U.S. using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.The build directory with the source code used to run CMAQv5.3.2.1 on the US domain is included with this Dataverse entry. The v5.3.2.1 source code is also available on the EQUATES CMAQv5.3.2.1 GitHub repo. See the 12US1 EQUATES sample build and run scripts for additional model settings. ' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2002; 2003; 2004; 2005; 2006; 2007; 2008; 2009; 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; CMAQ; CMAQv5.3.2+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'EQUATESv1.0: Emissions, WRF/MCIP, CMAQv5.3.2 Data -- 2002-2017 US_12km and NHEMI_108km' Description:'Simulation Settings and Inputs:Meteorology Inputs for 108NHEMI and 12US1 CMAQ SimulationsModel: Weather Research Forecast model, version 4.1.1 (WRF v4.1.1) Land Cover: 500m MODIS Sea surface temperature data (12US1 only): NAM SST Wind data (12US1 only): VAD Data assimilation analysis fields for 108NHEM: GFS 1 degree data for 2002-2017 Data assimilation analysis fields for 12US1: 40km AWIP for 2002-2005; 12km NAM for 2006-2017 with ERA data used when NAM data was missingWRF v4.1.1 options: Morrison Microphysics; RRTMG longwave and shortwave radiation; Pleim Surface Layer; Pleim-Xiu Land-Surface model; ACM2 Boundary layer mixing; Kain-Fritsch + Ma and Tan (2009) trigger 2 (KF2) for sub-grid convection scheme; 3-D grid nudging (GRID_FDDA) and indirect soil nudging (pxlsm_soil_nudge); no lightning assimilation WRF post-processing: Meteorology-Chemistry Input Processor (MCIP)v5.0.Emissions Inputs for 108NHEMI CMAQ SimulationUS Anthropogenic emissions: EQUATES 12km emissions gridded for the 108 km domainNon-US Anthropogenic emissions: 2010 HTAP with country/sector/year scaling factors based on CEDS data for 2002-2014. 2015-2017 emissions created using 2014 CEDS scaling factors. Emissions supplemented with Canada emissions from Environment and Climate Change Canada and China emissions from Zhao et al. (2018) Lightning NO: GEIA based monthly climatology using vertical profiles applied by season and latitudeFire emissions: SMARTFIRE2 and BlueSky Pipeline (U.S.) and FINNv1.5 (non-U.S.)Biogenic VOC: Hourly CAMSv2.1 data (Sindelarova et al.; extension of Megan2.1) for 2002-2017 based on monthly mean values with diurnal scaling factors Soil NO: Hourly CAMSv2.1 data (CAMS_D81.3.8.2; extension of Yienger and Levy (1995)) for 2002-2017 based on monthly mean values and diurnal scaling factors CMAQ Model for Northern Hemisphere Domain (108NHEMI)Model version: 5.3.2.1 (v5.3.2 with some bugfixes later released in version 5.3.3 and modifications to halogen chemistry and O3-PV scaling) No bi-directional NH3 air-surface exchangeSTAGE module for dry deposition Online windblown dust module turned on Chemical mechanism: CB6R3M_AE7_KMTBRAerosol module: aero7Domain: Northern Hemisphere using a 108 km grid size and Polar Stereographic projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 44 layers from the surface to the top of the free troposphereThe CMAQ build directory with the source code used to run CMAQv5.3.2.1 on the Northern Hemisphere domain is included with this Dataverse entry. Emissions Inputs for 12US1 CMAQ SimulationAnthropogenic emissions: The EQUATES base year emissions are from the 2017 NEI. For each sector in the 2017 NEI one of four approaches was applied to estimate emissions for the entire 2002-2017 time period: (1) Develop new methods for creating consistent emissions for all years (2) Use 2016 or 2017 model platform emissions and create scaling factors based on activity data and/or emission control information (3) Use existing modeling platform data for earlier years (2002-2015) (4) Leave emissions flat at 2017 NEI levels.See Foley et al (2020) for a high-level summary of the approach that was used for each sector. Additional information is documented in a manuscript that is currently under internal review. Lightning NO: parameterized lightning NO estimated online in CMAQ Biogenics: BEIS model run online in CMAQ with BELD5 land use data Boundary Condition Inputs for 12US1 CMAQ SimulationHourly values from CMAQv5.3.2.1 simulation over the Northern HemisphereCMAQ Model for Continental US Domain (12US1) Model version: 5.3.2.1 (v5.3.2 with some bugfixes later released in version 5.3.3)Bi-directional NH3 air-surface exchange: Massad formulationSTAGE module for dry deposition with land use specific deposition velocities included Online wind blown dust module not used Chemical mechanism: Carbon Bond 6 version r3 (CB6r3)Aerosol module: aero7Domain: Continental U.S. using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.The build directory with the source code used to run CMAQv5.3.2.1 on the US domain is included with this Dataverse entry. The v5.3.2.1 source code is also available on the EQUATES CMAQv5.3.2.1 GitHub repo. See the 12US1 EQUATES sample build and run scripts for additional model settings. ' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Simulation Settings and Inputs:Meteorology Inputs for 108NHEMI and 12US1 CMAQ SimulationsModel: Weather Research Forecast model, version 4.1.1 (WRF v4.1.1) Land Cover: 500m MODIS Sea surface temperature data (12US1 only): NAM SST Wind data (12US1 only): VAD Data assimilation analysis fields for 108NHEM: GFS 1 degree data for 2002-2017 Data assimilation analysis fields for 12US1: 40km AWIP for 2002-2005; 12km NAM for 2006-2017 with ERA data used when NAM data was missingWRF v4.1.1 options: Morrison Microphysics; RRTMG longwave and shortwave radiation; Pleim Surface Layer; Pleim-Xiu Land-Surface model; ACM2 Boundary layer mixing; Kain-Fritsch + Ma and Tan (2009) trigger 2 (KF2) for sub-grid convection scheme; 3-D grid nudging (GRID_FDDA) and indirect soil nudging (pxlsm_soil_nudge); no lightning assimilation WRF post-processing: Meteorology-Chemistry Input Processor (MCIP)v5.0.Emissions Inputs for 108NHEMI CMAQ SimulationUS Anthropogenic emissions: EQUATES 12km emissions gridded for the 108 km domainNon-US Anthropogenic emissions: 2010 HTAP with country/sector/year scaling factors based on CEDS data for 2002-2014. 2015-2017 emissions created using 2014 CEDS scaling factors. Emissions supplemented with Canada emissions from Environment and Climate Change Canada and China emissions from Zhao et al. (2018) Lightning NO: GEIA based monthly climatology using vertical profiles applied by season and latitudeFire emissions: SMARTFIRE2 and BlueSky Pipeline (U.S.) and FINNv1.5 (non-U.S.)Biogenic VOC: Hourly CAMSv2.1 data (Sindelarova et al.; extension of Megan2.1) for 2002-2017 based on monthly mean values with diurnal scaling factors Soil NO: Hourly CAMSv2.1 data (CAMS_D81.3.8.2; extension of Yienger and Levy (1995)) for 2002-2017 based on monthly mean values and diurnal scaling factors CMAQ Model for Northern Hemisphere Domain (108NHEMI)Model version: 5.3.2.1 (v5.3.2 with some bugfixes later released in version 5.3.3 and modifications to halogen chemistry and O3-PV scaling) No bi-directional NH3 air-surface exchangeSTAGE module for dry deposition Online windblown dust module turned on Chemical mechanism: CB6R3M_AE7_KMTBRAerosol module: aero7Domain: Northern Hemisphere using a 108 km grid size and Polar Stereographic projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 44 layers from the surface to the top of the free troposphereThe CMAQ build directory with the source code used to run CMAQv5.3.2.1 on the Northern Hemisphere domain is included with this Dataverse entry. Emissions Inputs for 12US1 CMAQ SimulationAnthropogenic emissions: The EQUATES base year emissions are from the 2017 NEI. For each sector in the 2017 NEI one of four approaches was applied to estimate emissions for the entire 2002-2017 time period: (1) Develop new methods for creating consistent emissions for all years (2) Use 2016 or 2017 model platform emissions and create scaling factors based on activity data and/or emission control information (3) Use existing modeling platform data for earlier years (2002-2015) (4) Leave emissions flat at 2017 NEI levels.See Foley et al (2020) for a high-level summary of the approach that was used for each sector. Additional information is documented in a manuscript that is currently under internal review. Lightning NO: parameterized lightning NO estimated online in CMAQ Biogenics: BEIS model run online in CMAQ with BELD5 land use data Boundary Condition Inputs for 12US1 CMAQ SimulationHourly values from CMAQv5.3.2.1 simulation over the Northern HemisphereCMAQ Model for Continental US Domain (12US1) Model version: 5.3.2.1 (v5.3.2 with some bugfixes later released in version 5.3.3)Bi-directional NH3 air-surface exchange: Massad formulationSTAGE module for dry deposition with land use specific deposition velocities included Online wind blown dust module not used Chemical mechanism: Carbon Bond 6 version r3 (CB6r3)Aerosol module: aero7Domain: Continental U.S. using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.The build directory with the source code used to run CMAQv5.3.2.1 on the US domain is included with this Dataverse entry. The v5.3.2.1 source code is also available on the EQUATES CMAQv5.3.2.1 GitHub repo. See the 12US1 EQUATES sample build and run scripts for additional model settings. ","Subject":"Earth and Environmental Sciences","Keywords":"2002; 2003; 2004; 2005; 2006; 2007; 2008; 2009; 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; CMAQ; CMAQv5.3.2"},{"pid":"doi:10.15139/S3/IQVABD","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Data Summary:CMAQv5.3+ input data for a 07/01/2016 - 07/14/2016 simulation over the Southeast US. Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.File Location and Download Instructions:Link to input files for SE53BENCH benchmark case Link to input files for SE531BENCH benchmark case Link to input files for SE532BENCH benchmark case Download instructions CMAQv5.3 InputsThe compressed file CMAQv5.3_Benchmark_2Week_Input.tar.gz on Google Drive contains inputs for a 14 day CMAQ simulation (July 1 - 14, 2016). The text file, CMAQv5.3_Benchmark_2Week_Input.file.list.txt, provides a list of all of the files in the .tar.gz file. This Google Drive folder also contains a '2Day' version of this files which includes inputs for July 1-2, 2016. While the 2 week test case is recommended for testing and benchmarking, the '2Day' version is smaller and faster to download. CMAQv5.3.1 InputsCMAQv5.3.1 comes with new input and output benchmark data for July 2016 over the Southeast US. The input datasets are identical to those released with v5.3 but additional files are now included in the .tar.gz files that will allow users to test the WRFv4.1.1-CMAQv5.3 coupled model on the Southeast benchmark domain. As a result, there is no need for users who have already downloaded the v5.3 Southeast benchmark input data to download the v5.3.1 files unless they are planning to run the coupled model. The Southeast benchmark output data for v5.3.1 is slightly different from what was released with v5.3 as described in the CMAQv5.3.1 Release Notes FAQ. CMAQv5.3.2 InputsCMAQv5.3.2 comes with new input and output benchmark data for 2 days, July 1-2, 2016, over the Southeast US. The input datasets for these two days are identical to those released with v5.3.1 except for the addition of a grid mask file for the United States: GRIDMASK_STATES_12SE1.nc. As a result, there is no need for users who have already downloaded the v5.3.1 Southeast benchmark input data to download the v5.3.2 files unless they need the grid mask file for running the new ISAM test case or to test out emissions scaling with DESID.The Southeast benchmark output data for v5.3.2 is slightly different from what was released with v5.3 as described in the CMAQv5.3.2 Release Notes FAQ. CMAQv5.3.3 InputsFor CMAQv5.3.3 there is no new input benchmark data. Users can use the benchmark input released with v5.3.2 (or v5.3, or v5.3.1) for testing their CMAQv5.3.3 and CMAQv5.3.3-ISAM builds.File Format:The 2016 model input are stored as netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on the model projection and grid structure is contained in the header information of the netcdf file. The output files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Data Summary:CMAQv5.3+ input data for a 07/01/2016 - 07/14/2016 simulation over the Southeast US. Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.File Location and Download Instructions:Link to input files for SE53BENCH benchmark case Link to input files for SE531BENCH benchmark case Link to input files for SE532BENCH benchmark case Download instructions CMAQv5.3 InputsThe compressed file CMAQv5.3_Benchmark_2Week_Input.tar.gz on Google Drive contains inputs for a 14 day CMAQ simulation (July 1 - 14, 2016). The text file, CMAQv5.3_Benchmark_2Week_Input.file.list.txt, provides a list of all of the files in the .tar.gz file. This Google Drive folder also contains a '2Day' version of this files which includes inputs for July 1-2, 2016. While the 2 week test case is recommended for testing and benchmarking, the '2Day' version is smaller and faster to download. CMAQv5.3.1 InputsCMAQv5.3.1 comes with new input and output benchmark data for July 2016 over the Southeast US. The input datasets are identical to those released with v5.3 but additional files are now included in the .tar.gz files that will allow users to test the WRFv4.1.1-CMAQv5.3 coupled model on the Southeast benchmark domain. As a result, there is no need for users who have already downloaded the v5.3 Southeast benchmark input data to download the v5.3.1 files unless they are planning to run the coupled model. The Southeast benchmark output data for v5.3.1 is slightly different from what was released with v5.3 as described in the CMAQv5.3.1 Release Notes FAQ. CMAQv5.3.2 InputsCMAQv5.3.2 comes with new input and output benchmark data for 2 days, July 1-2, 2016, over the Southeast US. The input datasets for these two days are identical to those released with v5.3.1 except for the addition of a grid mask file for the United States: GRIDMASK_STATES_12SE1.nc. As a result, there is no need for users who have already downloaded the v5.3.1 Southeast benchmark input data to download the v5.3.2 files unless they need the grid mask file for running the new ISAM test case or to test out emissions scaling with DESID.The Southeast benchmark output data for v5.3.2 is slightly different from what was released with v5.3 as described in the CMAQv5.3.2 Release Notes FAQ. CMAQv5.3.3 InputsFor CMAQv5.3.3 there is no new input benchmark data. Users can use the benchmark input released with v5.3.2 (or v5.3, or v5.3.1) for testing their CMAQv5.3.3 and CMAQv5.3.3-ISAM builds.File Format:The 2016 model input are stored as netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on the model projection and grid structure is contained in the header information of the netcdf file. The output files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data Summary:CMAQv5.3+ input data for a 07/01/2016 - 07/14/2016 simulation over the Southeast US. Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.File Location and Download Instructions:Link to input files for SE53BENCH benchmark case Link to input files for SE531BENCH benchmark case Link to input files for SE532BENCH benchmark case Download instructions CMAQv5.3 InputsThe compressed file CMAQv5.3_Benchmark_2Week_Input.tar.gz on Google Drive contains inputs for a 14 day CMAQ simulation (July 1 - 14, 2016). The text file, CMAQv5.3_Benchmark_2Week_Input.file.list.txt, provides a list of all of the files in the .tar.gz file. This Google Drive folder also contains a '2Day' version of this files which includes inputs for July 1-2, 2016. While the 2 week test case is recommended for testing and benchmarking, the '2Day' version is smaller and faster to download. CMAQv5.3.1 InputsCMAQv5.3.1 comes with new input and output benchmark data for July 2016 over the Southeast US. The input datasets are identical to those released with v5.3 but additional files are now included in the .tar.gz files that will allow users to test the WRFv4.1.1-CMAQv5.3 coupled model on the Southeast benchmark domain. As a result, there is no need for users who have already downloaded the v5.3 Southeast benchmark input data to download the v5.3.1 files unless they are planning to run the coupled model. The Southeast benchmark output data for v5.3.1 is slightly different from what was released with v5.3 as described in the CMAQv5.3.1 Release Notes FAQ. CMAQv5.3.2 InputsCMAQv5.3.2 comes with new input and output benchmark data for 2 days, July 1-2, 2016, over the Southeast US. The input datasets for these two days are identical to those released with v5.3.1 except for the addition of a grid mask file for the United States: GRIDMASK_STATES_12SE1.nc. As a result, there is no need for users who have already downloaded the v5.3.1 Southeast benchmark input data to download the v5.3.2 files unless they need the grid mask file for running the new ISAM test case or to test out emissions scaling with DESID.The Southeast benchmark output data for v5.3.2 is slightly different from what was released with v5.3 as described in the CMAQv5.3.2 Release Notes FAQ. CMAQv5.3.3 InputsFor CMAQv5.3.3 there is no new input benchmark data. Users can use the benchmark input released with v5.3.2 (or v5.3, or v5.3.1) for testing their CMAQv5.3.3 and CMAQv5.3.3-ISAM builds.File Format:The 2016 model input are stored as netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on the model projection and grid structure is contained in the header information of the netcdf file. The output files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/IQVABD","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Emissions Inputs2016beta Emissions Modeling Platform (also referred to as '2016ff')Detailed information on the 2016beta Platform is available here: http://views.cira.colostate.edu/wiki/wiki/10197Meteorology InputsMCIP Version: Meteorology-Chemistry Interface Processor, version 5.0WRF Model: Weather Research Forecast model, version 3.8 (WRF v3.8) simulated meteorology for 2016. Land Cover: 2011 National Land Cover Database (NLCD) Data assimilation: based on version-2 four-dimensional data assimilation (FDDA) with no nudging in the planetary boundary layer and used blended 3-hourly reanalysis fields (combination of 3-hour Meteorological Assimilation Data Ingest System (MADIS) data and intermediate 12km North American Mesoscale Model (NAM) 3-hour forecast) ptop=50 hPaWRF v3.8 parameters: - Morrison double-moment microphysics- RRTMG longwave and shortwave radiation-Kain Fritsch with kfeta_trigger = 1 (default trigger)- lightning assimilation -Pleim-Xiu land-surface model and surface layer/ ACM2 PBLVertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Emissions Inputs2016beta Emissions Modeling Platform (also referred to as '2016ff')Detailed information on the 2016beta Platform is available here: http://views.cira.colostate.edu/wiki/wiki/10197Meteorology InputsMCIP Version: Meteorology-Chemistry Interface Processor, version 5.0WRF Model: Weather Research Forecast model, version 3.8 (WRF v3.8) simulated meteorology for 2016. Land Cover: 2011 National Land Cover Database (NLCD) Data assimilation: based on version-2 four-dimensional data assimilation (FDDA) with no nudging in the planetary boundary layer and used blended 3-hourly reanalysis fields (combination of 3-hour Meteorological Assimilation Data Ingest System (MADIS) data and intermediate 12km North American Mesoscale Model (NAM) 3-hour forecast) ptop=50 hPaWRF v3.8 parameters: - Morrison double-moment microphysics- RRTMG longwave and shortwave radiation-Kain Fritsch with kfeta_trigger = 1 (default trigger)- lightning assimilation -Pleim-Xiu land-surface model and surface layer/ ACM2 PBLVertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Emissions Inputs2016beta Emissions Modeling Platform (also referred to as '2016ff')Detailed information on the 2016beta Platform is available here: http://views.cira.colostate.edu/wiki/wiki/10197Meteorology InputsMCIP Version: Meteorology-Chemistry Interface Processor, version 5.0WRF Model: Weather Research Forecast model, version 3.8 (WRF v3.8) simulated meteorology for 2016. Land Cover: 2011 National Land Cover Database (NLCD) Data assimilation: based on version-2 four-dimensional data assimilation (FDDA) with no nudging in the planetary boundary layer and used blended 3-hourly reanalysis fields (combination of 3-hour Meteorological Assimilation Data Ingest System (MADIS) data and intermediate 12km North American Mesoscale Model (NAM) 3-hour forecast) ptop=50 hPaWRF v3.8 parameters: - Morrison double-moment microphysics- RRTMG longwave and shortwave radiation-Kain Fritsch with kfeta_trigger = 1 (default trigger)- lightning assimilation -Pleim-Xiu land-surface model and surface layer/ ACM2 PBLVertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/IQVABD","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'FEST-CFEST-C version: 1.4Source of meteorology inputs: OAQPS US2 Met with lightning assimilationSource of deposition: 2016 deposition output from CMAQv5.2 simulation with WRVv3.8 meteorology inputsUSGS year: 2011 NLCD/MODISSpatial Allocator version: 4.3.2' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'FEST-CFEST-C version: 1.4Source of meteorology inputs: OAQPS US2 Met with lightning assimilationSource of deposition: 2016 deposition output from CMAQv5.2 simulation with WRVv3.8 meteorology inputsUSGS year: 2011 NLCD/MODISSpatial Allocator version: 4.3.2' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"FEST-CFEST-C version: 1.4Source of meteorology inputs: OAQPS US2 Met with lightning assimilationSource of deposition: 2016 deposition output from CMAQv5.2 simulation with WRVv3.8 meteorology inputsUSGS year: 2011 NLCD/MODISSpatial Allocator version: 4.3.2","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/IQVABD","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Initial and Boundary Condition from 2016 CONUS simulationModel version: CMAQv5.3 beta3 (March 1, 2019), with bi-directional NH3 air-surface exchange (Massad formulation)Domain: Southeast U.S. (80 row x 100 col) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 kmVertical layers: 35Meteorological fields: WRF3.8, MCIPv4.3Emissions: 2016ffChemical mechanism: CB6R3_AE7Dry Deposition: M3DRYScience options set to Y: CTM_SS_AERO, CTM_LTNG_NO, KZMIN, CTM_ILDEPV, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMIS' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Input Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Initial and Boundary Condition from 2016 CONUS simulationModel version: CMAQv5.3 beta3 (March 1, 2019), with bi-directional NH3 air-surface exchange (Massad formulation)Domain: Southeast U.S. (80 row x 100 col) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 kmVertical layers: 35Meteorological fields: WRF3.8, MCIPv4.3Emissions: 2016ffChemical mechanism: CB6R3_AE7Dry Deposition: M3DRYScience options set to Y: CTM_SS_AERO, CTM_LTNG_NO, KZMIN, CTM_ILDEPV, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMIS' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Initial and Boundary Condition from 2016 CONUS simulationModel version: CMAQv5.3 beta3 (March 1, 2019), with bi-directional NH3 air-surface exchange (Massad formulation)Domain: Southeast U.S. (80 row x 100 col) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 kmVertical layers: 35Meteorological fields: WRF3.8, MCIPv4.3Emissions: 2016ffChemical mechanism: CB6R3_AE7Dry Deposition: M3DRYScience options set to Y: CTM_SS_AERO, CTM_LTNG_NO, KZMIN, CTM_ILDEPV, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMIS","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/KKQ9NE","Title":"Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke' Description:'This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.' Subject:' Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Air Pollution; Biomass burns; Mixtures; Mixtures Toxicology; Pulmonary biology; Toxicity; Wildfire+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke' Description:'This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.' Subject:'Chemistry; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.","Subject":" Earth and Environmental Sciences","Keywords":"Air Pollution; Biomass burns; Mixtures; Mixtures Toxicology; Pulmonary biology; Toxicity; Wildfire"},{"pid":"doi:10.15139/S3/KQKJNP","Title":"Air Quality Index (PM2.5 AQI)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Air Quality Index (PM2.5 AQI)' Description:'The data reports daily maximum air quality index (AQI) levels, which are calculated using measurements of fine particulate matter (PM 2.5). It includes measurements for the 47 counties in North Carolina that have at least one active sensor. Because air quality varies significantly by location and sensors are usually located around areas that may experience air quality issues, this data is not representative of each county’s overall air quality. AQI values are a normalized index from 0-500 with ranges that represent different levels of air quality, with lower numbers indicating better quality and higher numbers representing worse air quality. The processed data was obtained as a .csv file containing the daily maximum AQI value for each sensor in North Carolina from 2017 to the present. Air quality sensors usually have a representative radius of approximately 1-5 kilometers. ' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {AQI, air quality, pollution, environment, health, environmental justice, traffic+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Air Quality Index (PM2.5 AQI)' Description:'The data reports daily maximum air quality index (AQI) levels, which are calculated using measurements of fine particulate matter (PM 2.5). It includes measurements for the 47 counties in North Carolina that have at least one active sensor. Because air quality varies significantly by location and sensors are usually located around areas that may experience air quality issues, this data is not representative of each county’s overall air quality. AQI values are a normalized index from 0-500 with ranges that represent different levels of air quality, with lower numbers indicating better quality and higher numbers representing worse air quality. The processed data was obtained as a .csv file containing the daily maximum AQI value for each sensor in North Carolina from 2017 to the present. Air quality sensors usually have a representative radius of approximately 1-5 kilometers. ' Subject:'Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data reports daily maximum air quality index (AQI) levels, which are calculated using measurements of fine particulate matter (PM 2.5). It includes measurements for the 47 counties in North Carolina that have at least one active sensor. Because air quality varies significantly by location and sensors are usually located around areas that may experience air quality issues, this data is not representative of each county’s overall air quality. AQI values are a normalized index from 0-500 with ranges that represent different levels of air quality, with lower numbers indicating better quality and higher numbers representing worse air quality. The processed data was obtained as a .csv file containing the daily maximum AQI value for each sensor in North Carolina from 2017 to the present. Air quality sensors usually have a representative radius of approximately 1-5 kilometers. ","Subject":"Earth and Environmental Sciences","Keywords":"AQI, air quality, pollution, environment, health, environmental justice, traffic"},{"pid":"doi:10.15139/S3/PDE4SS","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'CMAQv5.3 Model Output Files CCTM_ACONC_v53_gcc_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v53_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variables CCTM_SA_ACONC_v53_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3 CCTM_SA_WETDEP_v53_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3CMAQv5.3.1 Model Output FilesThe Southeast benchmark output data for v5.3.1 is slightly different from what was released with v5.3 as described in the CMAQv5.3.1 Release Notes FAQ. CCTM_ACONC_v53_gcc9.1_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v53_gcc9.1_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variablesCCTM_ACONC_v41153_201607*_coupled_2WAY_sf.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with aerosol feedback CCTM_ACONC_v41153_201607*_coupled_2WAY_nf.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with no aerosol feedback CCTM_WETDEP1_v41153_201607*_coupled_2WAY_sf.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCCTM_WETDEP1_v41153_201607*_coupled_2WAY_nf.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCMAQv5.3.2 Model Output FilesThe Southeast benchmark output data for v5.3.2 is slightly different from what was released with v5.3 as described in the CMAQv5.3.2 Release Notes FAQ. Note about v5.3.2 benchmark data: CMAQv.5.3.2 output is for a two day benchmark case (July 1-2, 2016), rather than the full two week period. Output is provided for both the debug mode turned off (Optimized) and the debug mode turned on (Debug) version to allow the user to compare their answers to either. To reduce the impact of compiler flags on the model output, it is preferable to use the debug version. To compare model results obtained while achieving faster run times due to compiler optimization, the Optimized version output is also provided. CCTM_ACONC_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variables CCTM_DRYDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly dry deposition fluxes for each model hour for 136 variables CCTM_SA_ACONC_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2 CCTM_SA_WETDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2 CCTM_SA_DRYDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2output_12km_sf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_ACONC_v411532_201607*.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with aerosol feedback output_12km_nf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_ACONC_v411532_201607*.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with no aerosol feedback output_12km_sf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_WETDEP1_v411532_201607*.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackoutput_12km_nf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_WETDEP1_v411532_201607*.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCMAQv5.3.3 Model Output FilesBenchmark output for v5.3.3 is provided however the output is identical to the output from v5.3.2 with the exception of HONO dry deposition as described in the CMAQv5.3.3 Release Notes FAQ. The HONO dry deposition update in M3DRY and STAGE leads to small changes (on the order of 1e-5) in HONO dry deposition in the dry deposition output files for the base model and ISAM benchmark.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'CMAQv5.3 Model Output Files CCTM_ACONC_v53_gcc_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v53_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variables CCTM_SA_ACONC_v53_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3 CCTM_SA_WETDEP_v53_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3CMAQv5.3.1 Model Output FilesThe Southeast benchmark output data for v5.3.1 is slightly different from what was released with v5.3 as described in the CMAQv5.3.1 Release Notes FAQ. CCTM_ACONC_v53_gcc9.1_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v53_gcc9.1_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variablesCCTM_ACONC_v41153_201607*_coupled_2WAY_sf.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with aerosol feedback CCTM_ACONC_v41153_201607*_coupled_2WAY_nf.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with no aerosol feedback CCTM_WETDEP1_v41153_201607*_coupled_2WAY_sf.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCCTM_WETDEP1_v41153_201607*_coupled_2WAY_nf.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCMAQv5.3.2 Model Output FilesThe Southeast benchmark output data for v5.3.2 is slightly different from what was released with v5.3 as described in the CMAQv5.3.2 Release Notes FAQ. Note about v5.3.2 benchmark data: CMAQv.5.3.2 output is for a two day benchmark case (July 1-2, 2016), rather than the full two week period. Output is provided for both the debug mode turned off (Optimized) and the debug mode turned on (Debug) version to allow the user to compare their answers to either. To reduce the impact of compiler flags on the model output, it is preferable to use the debug version. To compare model results obtained while achieving faster run times due to compiler optimization, the Optimized version output is also provided. CCTM_ACONC_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variables CCTM_DRYDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly dry deposition fluxes for each model hour for 136 variables CCTM_SA_ACONC_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2 CCTM_SA_WETDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2 CCTM_SA_DRYDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2output_12km_sf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_ACONC_v411532_201607*.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with aerosol feedback output_12km_nf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_ACONC_v411532_201607*.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with no aerosol feedback output_12km_sf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_WETDEP1_v411532_201607*.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackoutput_12km_nf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_WETDEP1_v411532_201607*.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCMAQv5.3.3 Model Output FilesBenchmark output for v5.3.3 is provided however the output is identical to the output from v5.3.2 with the exception of HONO dry deposition as described in the CMAQv5.3.3 Release Notes FAQ. The HONO dry deposition update in M3DRY and STAGE leads to small changes (on the order of 1e-5) in HONO dry deposition in the dry deposition output files for the base model and ISAM benchmark.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"CMAQv5.3 Model Output Files CCTM_ACONC_v53_gcc_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v53_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variables CCTM_SA_ACONC_v53_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3 CCTM_SA_WETDEP_v53_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3CMAQv5.3.1 Model Output FilesThe Southeast benchmark output data for v5.3.1 is slightly different from what was released with v5.3 as described in the CMAQv5.3.1 Release Notes FAQ. CCTM_ACONC_v53_gcc9.1_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v53_gcc9.1_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variablesCCTM_ACONC_v41153_201607*_coupled_2WAY_sf.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with aerosol feedback CCTM_ACONC_v41153_201607*_coupled_2WAY_nf.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with no aerosol feedback CCTM_WETDEP1_v41153_201607*_coupled_2WAY_sf.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCCTM_WETDEP1_v41153_201607*_coupled_2WAY_nf.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCMAQv5.3.2 Model Output FilesThe Southeast benchmark output data for v5.3.2 is slightly different from what was released with v5.3 as described in the CMAQv5.3.2 Release Notes FAQ. Note about v5.3.2 benchmark data: CMAQv.5.3.2 output is for a two day benchmark case (July 1-2, 2016), rather than the full two week period. Output is provided for both the debug mode turned off (Optimized) and the debug mode turned on (Debug) version to allow the user to compare their answers to either. To reduce the impact of compiler flags on the model output, it is preferable to use the debug version. To compare model results obtained while achieving faster run times due to compiler optimization, the Optimized version output is also provided. CCTM_ACONC_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: layer 1 average model species concentrations for each model hour for 226 variables CCTM_WETDEP1_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly wet deposition fluxes for each model hour for 136 variables CCTM_DRYDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: cumulative hourly dry deposition fluxes for each model hour for 136 variables CCTM_SA_ACONC_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2 CCTM_SA_WETDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2 CCTM_SA_DRYDEP_v532_ISAM_gcc_Bench_2016_12SE1_201607*.nc files: source apportionment (SA) output files associated with the SA sample case provided with CMAQv5.3.2output_12km_sf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_ACONC_v411532_201607*.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with aerosol feedback output_12km_nf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_ACONC_v411532_201607*.nc: layer 1 average model species concentrations from a WRF-CMAQ simulation with no aerosol feedback output_12km_sf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_WETDEP1_v411532_201607*.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackoutput_12km_nf_rrtmg_20_5_1_v411532_16pe_2day/CCTM_WETDEP1_v411532_201607*.nc: cumulative hourly wet deposition fluxes from a WRF-CMAQ simulation with aerosol feedbackCMAQv5.3.3 Model Output FilesBenchmark output for v5.3.3 is provided however the output is identical to the output from v5.3.2 with the exception of HONO dry deposition as described in the CMAQv5.3.3 Release Notes FAQ. The HONO dry deposition update in M3DRY and STAGE leads to small changes (on the order of 1e-5) in HONO dry deposition in the dry deposition output files for the base model and ISAM benchmark.","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/PDE4SS","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'File Format:The 2016 model output are stored as netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on the model projection and grid structure is contained in the header information of the netcdf file. The output files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'File Format:The 2016 model output are stored as netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on the model projection and grid structure is contained in the header information of the netcdf file. The output files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"File Format:The 2016 model output are stored as netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on the model projection and grid structure is contained in the header information of the netcdf file. The output files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/PDE4SS","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'File Location and Download Instructions:Link to output files for SE53BENCH benchmark caseLink to output files for SE531BENCH benchmark caseLink to output files for SE532BENCH benchmark caseLink to output files for SE533BENCH benchmark caseDownload instructions' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'File Location and Download Instructions:Link to output files for SE53BENCH benchmark caseLink to output files for SE531BENCH benchmark caseLink to output files for SE532BENCH benchmark caseLink to output files for SE533BENCH benchmark caseDownload instructions' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"File Location and Download Instructions:Link to output files for SE53BENCH benchmark caseLink to output files for SE531BENCH benchmark caseLink to output files for SE532BENCH benchmark caseLink to output files for SE533BENCH benchmark caseDownload instructions","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/PDE4SS","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Simulation Settings and Inputs:CMAQ ModelModel version: 5.3 (or 5.3.1)Bi-directional NH3 air-surface exchange: Massad formulationChemical mechanism: CB06R3Aerosol module: aero7Domain: Southeast U.S. (80 row x 100 col) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall. Build time options: multiprocessor simulations; 3-D advection scheme = wrf_cons; horizontal diffusion = multiscale; vertical diffusion = ACM2_M3Dry; chemistry solver =EBI; cloud module = ACM_AE7; aerosol module = AERO7; chemical mechanism = cb6r3_ae7_aq; inline biogenic emissions; inline plume riseScience options set to Y: CTM_OCEAN_CHEM, KZMIN, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMISEmissions Inputs2016beta Emissions Modeling Platform (also referred to as '2016ff')Detailed information on the 2016beta Platform is available here: http://views.cira.colostate.edu/wiki/wiki/10197 ' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Simulation Settings and Inputs:CMAQ ModelModel version: 5.3 (or 5.3.1)Bi-directional NH3 air-surface exchange: Massad formulationChemical mechanism: CB06R3Aerosol module: aero7Domain: Southeast U.S. (80 row x 100 col) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall. Build time options: multiprocessor simulations; 3-D advection scheme = wrf_cons; horizontal diffusion = multiscale; vertical diffusion = ACM2_M3Dry; chemistry solver =EBI; cloud module = ACM_AE7; aerosol module = AERO7; chemical mechanism = cb6r3_ae7_aq; inline biogenic emissions; inline plume riseScience options set to Y: CTM_OCEAN_CHEM, KZMIN, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMISEmissions Inputs2016beta Emissions Modeling Platform (also referred to as '2016ff')Detailed information on the 2016beta Platform is available here: http://views.cira.colostate.edu/wiki/wiki/10197 ' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Simulation Settings and Inputs:CMAQ ModelModel version: 5.3 (or 5.3.1)Bi-directional NH3 air-surface exchange: Massad formulationChemical mechanism: CB06R3Aerosol module: aero7Domain: Southeast U.S. (80 row x 100 col) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 km.Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall. Build time options: multiprocessor simulations; 3-D advection scheme = wrf_cons; horizontal diffusion = multiscale; vertical diffusion = ACM2_M3Dry; chemistry solver =EBI; cloud module = ACM_AE7; aerosol module = AERO7; chemical mechanism = cb6r3_ae7_aq; inline biogenic emissions; inline plume riseScience options set to Y: CTM_OCEAN_CHEM, KZMIN, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMISEmissions Inputs2016beta Emissions Modeling Platform (also referred to as '2016ff')Detailed information on the 2016beta Platform is available here: http://views.cira.colostate.edu/wiki/wiki/10197 ","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/PDE4SS","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Data Summary:CMAQv5.3+ output data for a 07/01/2016 - 07/14/2016 simulation over the Southeast US. Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Data Summary:CMAQv5.3+ output data for a 07/01/2016 - 07/14/2016 simulation over the Southeast US. Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data Summary:CMAQv5.3+ output data for a 07/01/2016 - 07/14/2016 simulation over the Southeast US. Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/PDE4SS","Title":"CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Meteorology InputsMCIP Version: Meteorology-Chemistry Interface Processor, version 5.0WRF Model: Weather Research Forecast model, version 3.8 (WRF v3.8) simulated meteorology for 2016.Land Cover: 2011 National Land Cover Database (NLCD)Data assimilation: based on version-2 four-dimensional data assimilation (FDDA) with no nudging in the planetary boundary layer and used blended 3-hourly reanalysis fields (combination of 3-hour Meteorological Assimilation Data Ingest System (MADIS) data and intermediate 12km North American Mesoscale Model (NAM) 3-hour forecast)ptop=50 hPaWRF v3.8 parameters:- Morrison double-moment microphysics - RRTMG longwave and shortwave radiation -Kain Fritsch with kfeta_trigger = 1 (default trigger) - lightning assimilation -Pleim-Xiu land-surface model and surface layer/ ACM2 PBL Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.Initial and Boundary Condition from 2016 CONUS simulationModel version: CMAQv5.3 beta3 (March 1, 2019) with bi-directional NH3 air-surface exchange (Massad formulation)Domain: Continental U.S. (CONUS) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 kmVertical layers: 35Meteorological fields: WRF3.8, MCIPv4.3Emissions: 2016ffChemical mechanism: CB6R3_AE7Dry Deposition: M3DRYScience options set to Y: CTM_SS_AERO, CTM_LTNG_NO, KZMIN, CTM_ILDEPV, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMISFEST-C FEST-C version: 1.4Source of meteorology inputs: OAQPS US2 Met with lightning assimilationSource of deposition: 2016 deposition output from CMAQv5.2 simulation with WRVv3.8 meteorology inputsUSGS year: 2011 NLCD/MODISSpatial Allocator version: 4.3.2' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2016; CMAQ; CMAQv5.3+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CMAQ Model Version 5.3, 5.3.1, 5.3.2, 5.3.3 Output Data -- 7/1/2016 - 7/14/2016 12km Southeast US' Description:'Meteorology InputsMCIP Version: Meteorology-Chemistry Interface Processor, version 5.0WRF Model: Weather Research Forecast model, version 3.8 (WRF v3.8) simulated meteorology for 2016.Land Cover: 2011 National Land Cover Database (NLCD)Data assimilation: based on version-2 four-dimensional data assimilation (FDDA) with no nudging in the planetary boundary layer and used blended 3-hourly reanalysis fields (combination of 3-hour Meteorological Assimilation Data Ingest System (MADIS) data and intermediate 12km North American Mesoscale Model (NAM) 3-hour forecast)ptop=50 hPaWRF v3.8 parameters:- Morrison double-moment microphysics - RRTMG longwave and shortwave radiation -Kain Fritsch with kfeta_trigger = 1 (default trigger) - lightning assimilation -Pleim-Xiu land-surface model and surface layer/ ACM2 PBL Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.Initial and Boundary Condition from 2016 CONUS simulationModel version: CMAQv5.3 beta3 (March 1, 2019) with bi-directional NH3 air-surface exchange (Massad formulation)Domain: Continental U.S. (CONUS) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 kmVertical layers: 35Meteorological fields: WRF3.8, MCIPv4.3Emissions: 2016ffChemical mechanism: CB6R3_AE7Dry Deposition: M3DRYScience options set to Y: CTM_SS_AERO, CTM_LTNG_NO, KZMIN, CTM_ILDEPV, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMISFEST-C FEST-C version: 1.4Source of meteorology inputs: OAQPS US2 Met with lightning assimilationSource of deposition: 2016 deposition output from CMAQv5.2 simulation with WRVv3.8 meteorology inputsUSGS year: 2011 NLCD/MODISSpatial Allocator version: 4.3.2' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Meteorology InputsMCIP Version: Meteorology-Chemistry Interface Processor, version 5.0WRF Model: Weather Research Forecast model, version 3.8 (WRF v3.8) simulated meteorology for 2016.Land Cover: 2011 National Land Cover Database (NLCD)Data assimilation: based on version-2 four-dimensional data assimilation (FDDA) with no nudging in the planetary boundary layer and used blended 3-hourly reanalysis fields (combination of 3-hour Meteorological Assimilation Data Ingest System (MADIS) data and intermediate 12km North American Mesoscale Model (NAM) 3-hour forecast)ptop=50 hPaWRF v3.8 parameters:- Morrison double-moment microphysics - RRTMG longwave and shortwave radiation -Kain Fritsch with kfeta_trigger = 1 (default trigger) - lightning assimilation -Pleim-Xiu land-surface model and surface layer/ ACM2 PBL Vertical Resolution: 35 layers from the surface to the top of the free troposphere with layer 1 nominally 19 m tall.Initial and Boundary Condition from 2016 CONUS simulationModel version: CMAQv5.3 beta3 (March 1, 2019) with bi-directional NH3 air-surface exchange (Massad formulation)Domain: Continental U.S. (CONUS) using a 12 km grid size and a Lambert Conformal projection assuming a spherical earth with radius 6370.0 kmVertical layers: 35Meteorological fields: WRF3.8, MCIPv4.3Emissions: 2016ffChemical mechanism: CB6R3_AE7Dry Deposition: M3DRYScience options set to Y: CTM_SS_AERO, CTM_LTNG_NO, KZMIN, CTM_ILDEPV, PX_VERSION, CTM_ABFLUX, CTM_BIDI_FERT_NH3, CTM_SFC_HONO, CTM_GRAV_SETL, CTM_BIOGEMISFEST-C FEST-C version: 1.4Source of meteorology inputs: OAQPS US2 Met with lightning assimilationSource of deposition: 2016 deposition output from CMAQv5.2 simulation with WRVv3.8 meteorology inputsUSGS year: 2011 NLCD/MODISSpatial Allocator version: 4.3.2","Subject":"Earth and Environmental Sciences","Keywords":"2016; CMAQ; CMAQv5.3"},{"pid":"doi:10.15139/S3/TCR6BB","Title":"2017 v1 NEI Emissions Modeling Platform (Premerged CMAQ-ready Emissions)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'2017 v1 NEI Emissions Modeling Platform (Premerged CMAQ-ready Emissions)' Description:'IntroductionThe emissions modeling platform uses SMOKE v4.7 to apportion the emissions inventories into the grid cells used by CMAQ and temporalizes the emissions into hourly values. In addition, the pollutants in the inventories (e.g., NOx, PM and VOC) are split into the chemical species needed by CMAQ. For the purposes of preparing the CMAQ- ready emissions, the NEI emissions inventories by data category are split into emissions modeling platform “sectors”; and emissions from sources other than the NEI are added, such as the Canadian, Mexican, and offshore inventories. Emissions within the emissions modeling platform are separated into sectors for groups of related emissions source categories that are run through all of the SMOKE programs, except the final merge, independently from emissions categories in the other sectors. (See pre-merged sector files below.)The final merge program called Mrggrid combines low-level sector-specific gridded, speciated and temporalized emissions to create the final CMAQ-ready emissions inputs. For biogenic emissions, the CMAQ model allows for biogenic emissions to be included in the CMAQ-ready emissions inputs, or for biogenic emissions to be computed within CMAQ itself (the “inline” option). (See merged 2D files below)This study uses the inline biogenic emissions option. Table 3-1 from the following report https://www.epa.gov/sites/production/files/2020-11/documents/2017_emissionschapter.pdf presents the sectors in the emissions modeling platform used to develop the year 2017 emissions for this project. The emissions inventories created for input to SMOKE, are based on the April, 2020 version of the 2017 NEI. The NEI includes five main data categories: a) nonpoint (formerly called “stationary area”) sources; b) point sources; c) nonroad mobile sources; d) onroad mobile sources; and e) fires. For CAPs, the NEI data are largely compiled from data submitted by state, local and tribal (S/L/T) agencies. HAP emissions data are often augmented by EPA when they are not voluntarily submitted to the NEI by S/L/T agencies. The NEI was compiled using the Emissions Inventory System (EIS). EIS includes hundreds of automated QA checks to improve data quality, and it also supports release point (stack) coordinates separately from facility coordinates. EPA collaboration with S/L/T agencies helped prevent duplication between point and nonpoint source categories such as industrial boilers. The 2017 NEI Technical Support Document describes in detail the development of the 2017 emission inventories and is available at https://www.epa.gov/air-emissions-inventories/2017-national-emissions-inventory-nei-technical-support-document-tsd (EPA, 2020a). Point source data from the 2017 NEI, including data submitted to EIS by S/L/T agencies, were used for this study. EPA used the SMARTFIRE2 system and the BlueSky emissions modeling framework to develop year 2017 fire emissions. SMARTFIRE2 categorizes all fires as either prescribed burning or wildfire categories, and the Bluesky framework includes emission factor estimates for both types of fires. Onroad and nonroad mobile source emissions for year 2017 were developed by running MOVES2014b (https://www.epa.gov/moves). Canadian emissions interpolated to the year 2017 from 2015 and 2023 were used, and Mexican emissions were for the year 2016. The 2017 Emission Modeling Platform is primarily based on the 2017gb emissions case prepared by EPA, but there are differences between this package and the EPA emissions case:- This package includes a newer airports inventory from 2017 NEI than was used in the original 2017gb emissions case. This newer version, which was not available until after the 2017gb emissions case was completed in May 2020, corrects an overestimation of emissions from airports.- This package includes average speed distributions (SPDIST) from 2017. The original 2017gb emissions case used average speed distributions from 2016. This is an input to SMOKE-MOVES and affects the 'RPD' category of onroad emissions.Data Summary:U.S. EPA National Emissions Inventory 2017 Modeling Platform SMOKE Output DataNote:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.These packages contain the CMAQ-ready, premerged and merged, gridded, speciated hourly emissions files for 2017 including 10 days of spinup days.File Location and Download Instructions:Link to SMOKE Output FilesDownload instructions File Sizes and Name of merged files File Size, File Name 176G, merged2D_2017_12US1_cmaq_cb6ae7_2017gb_17j.tarContents of Merged 2D Tar file (375 days = 365 days + 10 days spin-up) emis_mole_all_2017{month}{day}_12US1_nobeis_norwc_2017gb_17j.ncf.gzFile Sizes and Name of pre-merged sector files File Size, File Name 15 G, ptagfire_ptfire_othna_ptfire_pt_oilgas_ptegu_2017_[casename].tar 50G, rwc_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 43G, ptnonipm_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 22G, othpt_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 65G, beis_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 2.5G, othptdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 14G, othar_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 6.9G, othafdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 55G, onroad_mex_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 7.4G, onroad_can_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 92G, onroad_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 7.8G, np_oilgas_rail_airports_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 27G, nonpt_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 36G, ag_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 22G, afdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tarContents of beis_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar ./beis/emis_mole_beis_2016{month}{day}_12US1_cmaq_cb6ae7_2017gb_17j.ncf.gzNote: the other sector tar files have a similar structureFile Format:The case name for these SMOKE output files is '12US1_cmaq_cb6ae7_2017gb_17j', which serves as the basis of EPA's 2017gb_17j platform for air quality modeling. CMAQ model-ready emissions generated using these packages with SMOKE v4.5 should be identical to those used in EPA's 2017 platform. Documentation for the platform, along with the inputs to SMOKE including inventories, ancillary files, and run scripts are available from EPA's Air Emissions Modeling website.EPA NEI 2017 Modeling Platform WebsiteSupporting documentation is available' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Emissions, SMOKE, 2017+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'2017 v1 NEI Emissions Modeling Platform (Premerged CMAQ-ready Emissions)' Description:'IntroductionThe emissions modeling platform uses SMOKE v4.7 to apportion the emissions inventories into the grid cells used by CMAQ and temporalizes the emissions into hourly values. In addition, the pollutants in the inventories (e.g., NOx, PM and VOC) are split into the chemical species needed by CMAQ. For the purposes of preparing the CMAQ- ready emissions, the NEI emissions inventories by data category are split into emissions modeling platform “sectors”; and emissions from sources other than the NEI are added, such as the Canadian, Mexican, and offshore inventories. Emissions within the emissions modeling platform are separated into sectors for groups of related emissions source categories that are run through all of the SMOKE programs, except the final merge, independently from emissions categories in the other sectors. (See pre-merged sector files below.)The final merge program called Mrggrid combines low-level sector-specific gridded, speciated and temporalized emissions to create the final CMAQ-ready emissions inputs. For biogenic emissions, the CMAQ model allows for biogenic emissions to be included in the CMAQ-ready emissions inputs, or for biogenic emissions to be computed within CMAQ itself (the “inline” option). (See merged 2D files below)This study uses the inline biogenic emissions option. Table 3-1 from the following report https://www.epa.gov/sites/production/files/2020-11/documents/2017_emissionschapter.pdf presents the sectors in the emissions modeling platform used to develop the year 2017 emissions for this project. The emissions inventories created for input to SMOKE, are based on the April, 2020 version of the 2017 NEI. The NEI includes five main data categories: a) nonpoint (formerly called “stationary area”) sources; b) point sources; c) nonroad mobile sources; d) onroad mobile sources; and e) fires. For CAPs, the NEI data are largely compiled from data submitted by state, local and tribal (S/L/T) agencies. HAP emissions data are often augmented by EPA when they are not voluntarily submitted to the NEI by S/L/T agencies. The NEI was compiled using the Emissions Inventory System (EIS). EIS includes hundreds of automated QA checks to improve data quality, and it also supports release point (stack) coordinates separately from facility coordinates. EPA collaboration with S/L/T agencies helped prevent duplication between point and nonpoint source categories such as industrial boilers. The 2017 NEI Technical Support Document describes in detail the development of the 2017 emission inventories and is available at https://www.epa.gov/air-emissions-inventories/2017-national-emissions-inventory-nei-technical-support-document-tsd (EPA, 2020a). Point source data from the 2017 NEI, including data submitted to EIS by S/L/T agencies, were used for this study. EPA used the SMARTFIRE2 system and the BlueSky emissions modeling framework to develop year 2017 fire emissions. SMARTFIRE2 categorizes all fires as either prescribed burning or wildfire categories, and the Bluesky framework includes emission factor estimates for both types of fires. Onroad and nonroad mobile source emissions for year 2017 were developed by running MOVES2014b (https://www.epa.gov/moves). Canadian emissions interpolated to the year 2017 from 2015 and 2023 were used, and Mexican emissions were for the year 2016. The 2017 Emission Modeling Platform is primarily based on the 2017gb emissions case prepared by EPA, but there are differences between this package and the EPA emissions case:- This package includes a newer airports inventory from 2017 NEI than was used in the original 2017gb emissions case. This newer version, which was not available until after the 2017gb emissions case was completed in May 2020, corrects an overestimation of emissions from airports.- This package includes average speed distributions (SPDIST) from 2017. The original 2017gb emissions case used average speed distributions from 2016. This is an input to SMOKE-MOVES and affects the 'RPD' category of onroad emissions.Data Summary:U.S. EPA National Emissions Inventory 2017 Modeling Platform SMOKE Output DataNote:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.These packages contain the CMAQ-ready, premerged and merged, gridded, speciated hourly emissions files for 2017 including 10 days of spinup days.File Location and Download Instructions:Link to SMOKE Output FilesDownload instructions File Sizes and Name of merged files File Size, File Name 176G, merged2D_2017_12US1_cmaq_cb6ae7_2017gb_17j.tarContents of Merged 2D Tar file (375 days = 365 days + 10 days spin-up) emis_mole_all_2017{month}{day}_12US1_nobeis_norwc_2017gb_17j.ncf.gzFile Sizes and Name of pre-merged sector files File Size, File Name 15 G, ptagfire_ptfire_othna_ptfire_pt_oilgas_ptegu_2017_[casename].tar 50G, rwc_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 43G, ptnonipm_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 22G, othpt_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 65G, beis_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 2.5G, othptdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 14G, othar_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 6.9G, othafdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 55G, onroad_mex_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 7.4G, onroad_can_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 92G, onroad_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 7.8G, np_oilgas_rail_airports_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 27G, nonpt_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 36G, ag_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 22G, afdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tarContents of beis_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar ./beis/emis_mole_beis_2016{month}{day}_12US1_cmaq_cb6ae7_2017gb_17j.ncf.gzNote: the other sector tar files have a similar structureFile Format:The case name for these SMOKE output files is '12US1_cmaq_cb6ae7_2017gb_17j', which serves as the basis of EPA's 2017gb_17j platform for air quality modeling. CMAQ model-ready emissions generated using these packages with SMOKE v4.5 should be identical to those used in EPA's 2017 platform. Documentation for the platform, along with the inputs to SMOKE including inventories, ancillary files, and run scripts are available from EPA's Air Emissions Modeling website.EPA NEI 2017 Modeling Platform WebsiteSupporting documentation is available' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"IntroductionThe emissions modeling platform uses SMOKE v4.7 to apportion the emissions inventories into the grid cells used by CMAQ and temporalizes the emissions into hourly values. In addition, the pollutants in the inventories (e.g., NOx, PM and VOC) are split into the chemical species needed by CMAQ. For the purposes of preparing the CMAQ- ready emissions, the NEI emissions inventories by data category are split into emissions modeling platform “sectors”; and emissions from sources other than the NEI are added, such as the Canadian, Mexican, and offshore inventories. Emissions within the emissions modeling platform are separated into sectors for groups of related emissions source categories that are run through all of the SMOKE programs, except the final merge, independently from emissions categories in the other sectors. (See pre-merged sector files below.)The final merge program called Mrggrid combines low-level sector-specific gridded, speciated and temporalized emissions to create the final CMAQ-ready emissions inputs. For biogenic emissions, the CMAQ model allows for biogenic emissions to be included in the CMAQ-ready emissions inputs, or for biogenic emissions to be computed within CMAQ itself (the “inline” option). (See merged 2D files below)This study uses the inline biogenic emissions option. Table 3-1 from the following report https://www.epa.gov/sites/production/files/2020-11/documents/2017_emissionschapter.pdf presents the sectors in the emissions modeling platform used to develop the year 2017 emissions for this project. The emissions inventories created for input to SMOKE, are based on the April, 2020 version of the 2017 NEI. The NEI includes five main data categories: a) nonpoint (formerly called “stationary area”) sources; b) point sources; c) nonroad mobile sources; d) onroad mobile sources; and e) fires. For CAPs, the NEI data are largely compiled from data submitted by state, local and tribal (S/L/T) agencies. HAP emissions data are often augmented by EPA when they are not voluntarily submitted to the NEI by S/L/T agencies. The NEI was compiled using the Emissions Inventory System (EIS). EIS includes hundreds of automated QA checks to improve data quality, and it also supports release point (stack) coordinates separately from facility coordinates. EPA collaboration with S/L/T agencies helped prevent duplication between point and nonpoint source categories such as industrial boilers. The 2017 NEI Technical Support Document describes in detail the development of the 2017 emission inventories and is available at https://www.epa.gov/air-emissions-inventories/2017-national-emissions-inventory-nei-technical-support-document-tsd (EPA, 2020a). Point source data from the 2017 NEI, including data submitted to EIS by S/L/T agencies, were used for this study. EPA used the SMARTFIRE2 system and the BlueSky emissions modeling framework to develop year 2017 fire emissions. SMARTFIRE2 categorizes all fires as either prescribed burning or wildfire categories, and the Bluesky framework includes emission factor estimates for both types of fires. Onroad and nonroad mobile source emissions for year 2017 were developed by running MOVES2014b (https://www.epa.gov/moves). Canadian emissions interpolated to the year 2017 from 2015 and 2023 were used, and Mexican emissions were for the year 2016. The 2017 Emission Modeling Platform is primarily based on the 2017gb emissions case prepared by EPA, but there are differences between this package and the EPA emissions case:- This package includes a newer airports inventory from 2017 NEI than was used in the original 2017gb emissions case. This newer version, which was not available until after the 2017gb emissions case was completed in May 2020, corrects an overestimation of emissions from airports.- This package includes average speed distributions (SPDIST) from 2017. The original 2017gb emissions case used average speed distributions from 2016. This is an input to SMOKE-MOVES and affects the 'RPD' category of onroad emissions.Data Summary:U.S. EPA National Emissions Inventory 2017 Modeling Platform SMOKE Output DataNote:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data.These packages contain the CMAQ-ready, premerged and merged, gridded, speciated hourly emissions files for 2017 including 10 days of spinup days.File Location and Download Instructions:Link to SMOKE Output FilesDownload instructions File Sizes and Name of merged files File Size, File Name 176G, merged2D_2017_12US1_cmaq_cb6ae7_2017gb_17j.tarContents of Merged 2D Tar file (375 days = 365 days + 10 days spin-up) emis_mole_all_2017{month}{day}_12US1_nobeis_norwc_2017gb_17j.ncf.gzFile Sizes and Name of pre-merged sector files File Size, File Name 15 G, ptagfire_ptfire_othna_ptfire_pt_oilgas_ptegu_2017_[casename].tar 50G, rwc_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 43G, ptnonipm_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 22G, othpt_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 65G, beis_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 2.5G, othptdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 14G, othar_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 6.9G, othafdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 55G, onroad_mex_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 7.4G, onroad_can_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 92G, onroad_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 7.8G, np_oilgas_rail_airports_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 27G, nonpt_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 36G, ag_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar 22G, afdust_adj_2017_12US1_cmaq_cb6ae7_2017gb_17j.tarContents of beis_2017_12US1_cmaq_cb6ae7_2017gb_17j.tar ./beis/emis_mole_beis_2016{month}{day}_12US1_cmaq_cb6ae7_2017gb_17j.ncf.gzNote: the other sector tar files have a similar structureFile Format:The case name for these SMOKE output files is '12US1_cmaq_cb6ae7_2017gb_17j', which serves as the basis of EPA's 2017gb_17j platform for air quality modeling. CMAQ model-ready emissions generated using these packages with SMOKE v4.5 should be identical to those used in EPA's 2017 platform. Documentation for the platform, along with the inputs to SMOKE including inventories, ancillary files, and run scripts are available from EPA's Air Emissions Modeling website.EPA NEI 2017 Modeling Platform WebsiteSupporting documentation is available","Subject":"Earth and Environmental Sciences","Keywords":"Emissions, SMOKE, 2017"},{"pid":"doi:10.15139/S3/UNJ8FX","Title":"SPURS-2 ROMS 1-Feb-2017 - 31-Jan-2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SPURS-2 ROMS 1-Feb-2017 - 31-Jan-2018' Description:'These files contain output from the ROMS model for the eastern Tropical Pacific, 1-Feb-2017 - 31-Jan-2018. There are 4 files, the first one is for 1-Feb - 30-April, the second is for 1-May - 31-July, etc. The README file contains the vertical levels and the spurs_grd.nc.1 file contains the grid on which horizontal velocity components u and v and density / salinity are computed. Files in this folder are compressed. Uncompressed files are in netCDF format.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SPURS-2 ROMS 1-Feb-2017 - 31-Jan-2018' Description:'These files contain output from the ROMS model for the eastern Tropical Pacific, 1-Feb-2017 - 31-Jan-2018. There are 4 files, the first one is for 1-Feb - 30-April, the second is for 1-May - 31-July, etc. The README file contains the vertical levels and the spurs_grd.nc.1 file contains the grid on which horizontal velocity components u and v and density / salinity are computed. Files in this folder are compressed. Uncompressed files are in netCDF format.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These files contain output from the ROMS model for the eastern Tropical Pacific, 1-Feb-2017 - 31-Jan-2018. There are 4 files, the first one is for 1-Feb - 30-April, the second is for 1-May - 31-July, etc. The README file contains the vertical levels and the spurs_grd.nc.1 file contains the grid on which horizontal velocity components u and v and density / salinity are computed. Files in this folder are compressed. Uncompressed files are in netCDF format.","Subject":"Earth and Environmental Sciences","Keywords":"EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY"},{"pid":"doi:10.15139/S3/YAYNES","Title":"LISN dataset test","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'LISN dataset test' Description:'Este es un dataset de prueba' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {gps+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'LISN dataset test' Description:'Este es un dataset de prueba' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Este es un dataset de prueba","Subject":"Earth and Environmental Sciences","Keywords":"gps"},{"pid":"doi:10.15139/S3/Z9WSWC","Title":"Daily and Hourly Average PM2.5 Estimates, Contiguous US Census Tract Population Centers, 2017-18","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Daily and Hourly Average PM2.5 Estimates, Contiguous US Census Tract Population Centers, 2017-18' Description:'Files: PM25_Daily_Fusion_ContiguousUS_CensusTract_2017-18.RDSPM25_Hourly_Fusion_ContiguousUS_CensusTract_[MONTH][YEAR].RDSVariables:GEOID– GEOID of the census tract the PM2.5 estimate is forDate/Timestamp – Date/Timestamp the PM2.5 estimate is for PM25– Daily/hourly average PM2.5 estimate (μg/m3)Lon – Longitude of the census tract population centerLat – Latitude of the census tract population centerState – State the census tract is inCounty – County the census tract is inSTATEFP – State FIPS codeCOUNTYFP – County FIPS codeTRACTCE – Census tract codeDay – Day of the year the PM2.5 estimate is for (range: 1 to 365) Hour – Hour of the day the PM2.5 estimate is for (range: 0 to 23)Notes:Estimates of daily and hourly average PM2.5 concentrations at census tract population centers across the contiguous US for 01/01/2017 to 12/31/201872,539 census tracts with 730 daily and 17,520 hourly estimates eachEstimated through a Bayesian Maximum Entropy (BME) data fusion of daily average observations from FRM/FEM (https://aqs.epa.gov/aqsweb/airdata/download_files.html) and PurpleAir (https://api.purpleair.com/) monitoring stations Coordinates of the mean centers of population for each census tract downloaded from: https://www.census.gov/geographies/reference-files/time-series/geo/centers-population.html Additional details on the estimates can be found in the manuscript: Short-Term Exposure to Wildfire Smoke and PM2.5 and Cognitive Performance in a Brain-Training Game: A Longitudinal Study of US Adults' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {PM2.5, fine particulate matter, daily average, hourly average, contiguous US, census tract, data fusion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Daily and Hourly Average PM2.5 Estimates, Contiguous US Census Tract Population Centers, 2017-18' Description:'Files: PM25_Daily_Fusion_ContiguousUS_CensusTract_2017-18.RDSPM25_Hourly_Fusion_ContiguousUS_CensusTract_[MONTH][YEAR].RDSVariables:GEOID– GEOID of the census tract the PM2.5 estimate is forDate/Timestamp – Date/Timestamp the PM2.5 estimate is for PM25– Daily/hourly average PM2.5 estimate (μg/m3)Lon – Longitude of the census tract population centerLat – Latitude of the census tract population centerState – State the census tract is inCounty – County the census tract is inSTATEFP – State FIPS codeCOUNTYFP – County FIPS codeTRACTCE – Census tract codeDay – Day of the year the PM2.5 estimate is for (range: 1 to 365) Hour – Hour of the day the PM2.5 estimate is for (range: 0 to 23)Notes:Estimates of daily and hourly average PM2.5 concentrations at census tract population centers across the contiguous US for 01/01/2017 to 12/31/201872,539 census tracts with 730 daily and 17,520 hourly estimates eachEstimated through a Bayesian Maximum Entropy (BME) data fusion of daily average observations from FRM/FEM (https://aqs.epa.gov/aqsweb/airdata/download_files.html) and PurpleAir (https://api.purpleair.com/) monitoring stations Coordinates of the mean centers of population for each census tract downloaded from: https://www.census.gov/geographies/reference-files/time-series/geo/centers-population.html Additional details on the estimates can be found in the manuscript: Short-Term Exposure to Wildfire Smoke and PM2.5 and Cognitive Performance in a Brain-Training Game: A Longitudinal Study of US Adults' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Files: PM25_Daily_Fusion_ContiguousUS_CensusTract_2017-18.RDSPM25_Hourly_Fusion_ContiguousUS_CensusTract_[MONTH][YEAR].RDSVariables:GEOID– GEOID of the census tract the PM2.5 estimate is forDate/Timestamp – Date/Timestamp the PM2.5 estimate is for PM25– Daily/hourly average PM2.5 estimate (μg/m3)Lon – Longitude of the census tract population centerLat – Latitude of the census tract population centerState – State the census tract is inCounty – County the census tract is inSTATEFP – State FIPS codeCOUNTYFP – County FIPS codeTRACTCE – Census tract codeDay – Day of the year the PM2.5 estimate is for (range: 1 to 365) Hour – Hour of the day the PM2.5 estimate is for (range: 0 to 23)Notes:Estimates of daily and hourly average PM2.5 concentrations at census tract population centers across the contiguous US for 01/01/2017 to 12/31/201872,539 census tracts with 730 daily and 17,520 hourly estimates eachEstimated through a Bayesian Maximum Entropy (BME) data fusion of daily average observations from FRM/FEM (https://aqs.epa.gov/aqsweb/airdata/download_files.html) and PurpleAir (https://api.purpleair.com/) monitoring stations Coordinates of the mean centers of population for each census tract downloaded from: https://www.census.gov/geographies/reference-files/time-series/geo/centers-population.html Additional details on the estimates can be found in the manuscript: Short-Term Exposure to Wildfire Smoke and PM2.5 and Cognitive Performance in a Brain-Training Game: A Longitudinal Study of US Adults","Subject":"Earth and Environmental Sciences","Keywords":"PM2.5, fine particulate matter, daily average, hourly average, contiguous US, census tract, data fusion"},{"pid":"doi:10.18710/S8Q6D1","Title":"TGO Ramfjordmoen Ionosonde Data August 2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/0ANF8U","Title":"TGO Ramfjordmoen Ionosonde Data September 1986","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 1986' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from September 01-30, 1986.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 1986' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from September 01-30, 1986.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from September 01-30, 1986.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/0NGBMI","Title":"Hydrographic data from Northern Norwegian fjords - 2001","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 2001' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTD; Salinity; Temperature+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 2001' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).","Subject":"Earth and Environmental Sciences","Keywords":"CTD; Salinity; Temperature"},{"pid":"doi:10.18710/0NHUJG","Title":"TGO Ramfjordmoen Ionosonde Data March 2009","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2009' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2009.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2009' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2009.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2009.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/0UK48S","Title":"TGO Ramfjordmoen Ionosonde Data May 2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data May 2020' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from May 01-31, 2020.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data May 2020' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from May 01-31, 2020.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from May 01-31, 2020.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/ABONWP","Title":"Hydrographic data from Northern Norwegian fjords - 1989","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 1989' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTD; Salinity; Temperature+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 1989' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).","Subject":"Earth and Environmental Sciences","Keywords":"CTD; Salinity; Temperature"},{"pid":"doi:10.18710/0VUUNO","Title":"Kittiwake fledging success, Hornøya 1980-2013","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Kittiwake fledging success, Hornøya 1980-2013' Description:'Counts of large black-legged kittiwake chicks in occupied nests towards the end of the breeding season, Hornøya 1980-2013' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Breeding success; Fledging success; Kittiwake; Rissa tridactyla+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Kittiwake fledging success, Hornøya 1980-2013' Description:'Counts of large black-legged kittiwake chicks in occupied nests towards the end of the breeding season, Hornøya 1980-2013' Subject:'Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Counts of large black-legged kittiwake chicks in occupied nests towards the end of the breeding season, Hornøya 1980-2013","Subject":"Earth and Environmental Sciences","Keywords":"Breeding success; Fledging success; Kittiwake; Rissa tridactyla"},{"pid":"doi:10.18710/0WGHZM","Title":"GNSS Scintillation Data (60 s) at Ny-Ålesund in 2019","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Ny-Ålesund in 2019' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Ny-Ålesund; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Ny-Ålesund in 2019' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":"Earth and Environmental Sciences","Keywords":"amplitude scintillation; Ny-Ålesund; phase scintillation"},{"pid":"doi:10.18710/0X3TDF","Title":"TGO Ramfjordmoen Ionosonde Data August 2004","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2004' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from August 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2004' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from August 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from August 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/11K4ZS","Title":"TGO Ramfjordmoen Ionosonde Data July 1995","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1995' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1995' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/13FHF9","Title":"GNSS Scintillation Data (60 s) at Longyearbyen in 2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2015' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Longyearbyen; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2015' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":"Earth and Environmental Sciences","Keywords":"amplitude scintillation; Longyearbyen; phase scintillation"},{"pid":"doi:10.18710/18AWWA","Title":"Hydrographic data from Northern Norwegian fjords - 1981","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 1981' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTD; Salinity; Temperature+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 1981' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).","Subject":"Earth and Environmental Sciences","Keywords":"CTD; Salinity; Temperature"},{"pid":"doi:10.18710/18MZPK","Title":"TGO Ramfjordmoen Ionosonde Data August 1992","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from August 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from August 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from August 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1A0GNA","Title":"TGO Ramfjordmoen Ionosonde Data June 2000","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2000' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2000.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2000' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2000.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2000.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1CA1KO","Title":"GNSS Scintillation Data (60 s) at Longyearbyen in 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2016' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Longyearbyen; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2016' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":"Earth and Environmental Sciences","Keywords":"amplitude scintillation; Longyearbyen; phase scintillation"},{"pid":"doi:10.18710/JEZXYF","Title":"Hydrographic data from Northern Norwegian fjords - 2006","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 2006' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTD; Salinity; Temperature+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 2006' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).","Subject":"Earth and Environmental Sciences","Keywords":"CTD; Salinity; Temperature"},{"pid":"doi:10.18710/1CSIOA","Title":"TGO Ramfjordmoen Ionosonde Data July 1989","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1989' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from July 01-31, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1989' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from July 01-31, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from July 01-31, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1KYFV8","Title":"TGO Ramfjordmoen Ionosonde Data November 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1MMRDP","Title":"TGO Ramfjordmoen Ionosonde Data February 1985","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1985' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1985' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1NGCDP","Title":"TGO Ramfjordmoen Ionosonde Data October 2007","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2007' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2007' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1PWXCQ","Title":"Video images from ROV ÆGIR6000 in Kongsfjorden during the CAGE 20-7 cruise","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Video images from ROV ÆGIR6000 in Kongsfjorden during the CAGE 20-7 cruise' Description:'The dataset includes two videos taken during an ROV ÆGIR6000 dive in Kongsfjorden on November 12th 2020 (11.628E; 78.98N; 308m depth). The cruise name was CAGE 20-7 and the cruise leader Benedicte Ferré. This cruise was funded by CAGE (Centre for Arctic Gas Hydrate, Environment and Climate), Norwegian Research Council grant no. 223259' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {fish; Kongsfjorden; ROV; seafloor; Video+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Video images from ROV ÆGIR6000 in Kongsfjorden during the CAGE 20-7 cruise' Description:'The dataset includes two videos taken during an ROV ÆGIR6000 dive in Kongsfjorden on November 12th 2020 (11.628E; 78.98N; 308m depth). The cruise name was CAGE 20-7 and the cruise leader Benedicte Ferré. This cruise was funded by CAGE (Centre for Arctic Gas Hydrate, Environment and Climate), Norwegian Research Council grant no. 223259' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset includes two videos taken during an ROV ÆGIR6000 dive in Kongsfjorden on November 12th 2020 (11.628E; 78.98N; 308m depth). The cruise name was CAGE 20-7 and the cruise leader Benedicte Ferré. This cruise was funded by CAGE (Centre for Arctic Gas Hydrate, Environment and Climate), Norwegian Research Council grant no. 223259","Subject":"Earth and Environmental Sciences","Keywords":"fish; Kongsfjorden; ROV; seafloor; Video"},{"pid":"doi:10.18710/1SYRPE","Title":"TGO Ramfjordmoen Ionosonde Data March 1992","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1V2V6O","Title":"TGO Ramfjordmoen Ionosonde Data January 2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1WTNQB","Title":"Supplements for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplements for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard' Description:'Content:-S1: Description of the late Paleozoic sedimentary successions in central Spitsbergen from the literature.-S2: (a) Uninterpreted bathymetric data in Billefjorden and (b–d) associated zooms.-S3: Interpreted seismic sections in Billefjorden showing early Cenozoic duplexes and thrusts (yellow lines), bedding surfaces (dotted white lines) and potential multiples (dashed yellow lines). See Fig. 1 for location. (a) SSW-directed Cenozoic thrust between Phantomodden and Narveneset showing (from south to north) in the southern part a well-developed SSW-verging ramp anticline and an open, symmetric, NNE-tilted detachment/ramp anticline. (b) Top-west to top-west thrust sheet with minor reverse offsets.-S4: Uninterpreted seismic sections in Billefjorden. See S1 for location.-S5: Description and interpretation of the upper Paleozoic sedimentary successions on seismic data in Billefjorden.-Lower Devonian sedimentary rocks of the Siktefjellet and Red Bay and Andrée Land groups-Uppermost Devonian to Mississippian sedimentary rocks (Billefjorden Group)-Pennsylvanian to Permian sedimentary rocks (Gipsdalen Group)-Uppermost Mississippian to Lower Pennsylvanian Hultberget and Ebbadalen formations-Middle to lowermost Upper Pennsylvanian Minkinfjellet Formation-Uppermost Middle Pennsylvanian to lowermost Permian Wordiekammen Formation-Lower Permian Gipshuken Formation-S6: Depth conversion data including checkshot data from exploration well 7816/12-1 in Reindalspasset (upper left table; Eide et al., 1991), the depth of lithostratigraphic intervals from the well completion report (upper right table), the depth of formations of interest to the present study from the well completion report (middle right table), average velocities of stratigraphic intervals of interest to the present study from Gernigon et al. (2018; lower right table), and calculated stratigraphic thicknesses and depths, and fault offsets in Billefjorden based on velocities from well 7816/12-1 and from Gernigon et al. (2018; lowermost table).-S7: (a) Uninterpreted and (b) interpreted depth-converted seismic section NP-IS-85-05 through Billefjorden showing the main NNE-dipping shear zone (dashed yellow and grey-shaded), and some of the normal (red) and inverted brittle faults (black), and décollements and detachments (yellow) shown in Figure 4. Notice the gentle dip of the main shear zone. Abbreviation: GaF: Garmaksla fault.-S8: Bathymetric profiles across NNE–SSW-trending moraine ridges (up) and a fault-related escarpment (down). Notice the contrast between smooth, 2–3 meters high drops in bathymetry across moraine ridges (black arrows) and the abrupt 5 meter drop across the fault-related escarpment (red arrow).-S9: Bathymetric profiles across Billefjorden showing the N–S-trending ridge (red arrows). Location of the profiles is shown as white lines in supplement S1d. Notice the steep western flank and the smooth and gently east-dipping top and eastern flank of the ridge.-S10: Satellite images in (A) Narveneset and (B) Brimerpynten (see Figure 1B for locations) showing smooth, high-frequency, gently curving, NNE–SSW- to NNW–SSE-trending lineaments (dotted white lines) most likely representing sub-vertical bedding surfaces within Lower Devonian sedimentary strata (Dallmann et al., 2004a; Dallmann & Piepjohn, 2020) crosscut by discrete, linear to undulating, dominantly WNW–ESE-trending fault-related escarpments (red lines). The legend is common to A and B.-S11: Field photograph of WNW–ESE-striking brittle faults in Narveneset showing sinistral sense of shear.-S12: Decreasing tectonic activity from Early Devonian to early Permian times.-Early Devonian to Mississippian collapse and rift “initiation” phase-Latest Mississippian to earliest/Early Pennsylvanian “interaction and linkage” phase-Middle Pennsylvanian “through-going fault zones” phase-Late Pennsylvanian to earliest Permian latest- to post-rift phase-Conclusion-Figure 1 electronic supplement 12-S13: (A) Calculation of the surface slope angles between Pyramiden and Yggdrasilkampen and Yggdrasilkampen and Asvindalen and of the altitude difference due to the normal dip angle (c. 145 m) and to Eurekan deformation (c. 330 m). (B) Illustration of the calculated surface slope angles (in red) in Billefjorden and of the potential WNW–ESE-trending fold (in fuchsia) along the Adolfbukta fault. Notice the significant altitude drop of the base of the Wordiekammen Formation between the Pyramiden Mountain (c. 850 meters) and northern Yggdrasilkampen (c. 375 meters).-S14: Outcrop photograph showing south-dipping and southwards thickening Lower Devonian strata of the Wood Bay Formation in Triungen in the hanging wall of the NNE-dipping Hugindalen Fault.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Billefjorden; Carboniferous; Cenozoic; décollement; Devonian basin; Eurekan; fault; fold; Permian; shear zone; Svalbard; Svalbardian Orogeny; Timanian Orogeny+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplements for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard' Description:'Content:-S1: Description of the late Paleozoic sedimentary successions in central Spitsbergen from the literature.-S2: (a) Uninterpreted bathymetric data in Billefjorden and (b–d) associated zooms.-S3: Interpreted seismic sections in Billefjorden showing early Cenozoic duplexes and thrusts (yellow lines), bedding surfaces (dotted white lines) and potential multiples (dashed yellow lines). See Fig. 1 for location. (a) SSW-directed Cenozoic thrust between Phantomodden and Narveneset showing (from south to north) in the southern part a well-developed SSW-verging ramp anticline and an open, symmetric, NNE-tilted detachment/ramp anticline. (b) Top-west to top-west thrust sheet with minor reverse offsets.-S4: Uninterpreted seismic sections in Billefjorden. See S1 for location.-S5: Description and interpretation of the upper Paleozoic sedimentary successions on seismic data in Billefjorden.-Lower Devonian sedimentary rocks of the Siktefjellet and Red Bay and Andrée Land groups-Uppermost Devonian to Mississippian sedimentary rocks (Billefjorden Group)-Pennsylvanian to Permian sedimentary rocks (Gipsdalen Group)-Uppermost Mississippian to Lower Pennsylvanian Hultberget and Ebbadalen formations-Middle to lowermost Upper Pennsylvanian Minkinfjellet Formation-Uppermost Middle Pennsylvanian to lowermost Permian Wordiekammen Formation-Lower Permian Gipshuken Formation-S6: Depth conversion data including checkshot data from exploration well 7816/12-1 in Reindalspasset (upper left table; Eide et al., 1991), the depth of lithostratigraphic intervals from the well completion report (upper right table), the depth of formations of interest to the present study from the well completion report (middle right table), average velocities of stratigraphic intervals of interest to the present study from Gernigon et al. (2018; lower right table), and calculated stratigraphic thicknesses and depths, and fault offsets in Billefjorden based on velocities from well 7816/12-1 and from Gernigon et al. (2018; lowermost table).-S7: (a) Uninterpreted and (b) interpreted depth-converted seismic section NP-IS-85-05 through Billefjorden showing the main NNE-dipping shear zone (dashed yellow and grey-shaded), and some of the normal (red) and inverted brittle faults (black), and décollements and detachments (yellow) shown in Figure 4. Notice the gentle dip of the main shear zone. Abbreviation: GaF: Garmaksla fault.-S8: Bathymetric profiles across NNE–SSW-trending moraine ridges (up) and a fault-related escarpment (down). Notice the contrast between smooth, 2–3 meters high drops in bathymetry across moraine ridges (black arrows) and the abrupt 5 meter drop across the fault-related escarpment (red arrow).-S9: Bathymetric profiles across Billefjorden showing the N–S-trending ridge (red arrows). Location of the profiles is shown as white lines in supplement S1d. Notice the steep western flank and the smooth and gently east-dipping top and eastern flank of the ridge.-S10: Satellite images in (A) Narveneset and (B) Brimerpynten (see Figure 1B for locations) showing smooth, high-frequency, gently curving, NNE–SSW- to NNW–SSE-trending lineaments (dotted white lines) most likely representing sub-vertical bedding surfaces within Lower Devonian sedimentary strata (Dallmann et al., 2004a; Dallmann & Piepjohn, 2020) crosscut by discrete, linear to undulating, dominantly WNW–ESE-trending fault-related escarpments (red lines). The legend is common to A and B.-S11: Field photograph of WNW–ESE-striking brittle faults in Narveneset showing sinistral sense of shear.-S12: Decreasing tectonic activity from Early Devonian to early Permian times.-Early Devonian to Mississippian collapse and rift “initiation” phase-Latest Mississippian to earliest/Early Pennsylvanian “interaction and linkage” phase-Middle Pennsylvanian “through-going fault zones” phase-Late Pennsylvanian to earliest Permian latest- to post-rift phase-Conclusion-Figure 1 electronic supplement 12-S13: (A) Calculation of the surface slope angles between Pyramiden and Yggdrasilkampen and Yggdrasilkampen and Asvindalen and of the altitude difference due to the normal dip angle (c. 145 m) and to Eurekan deformation (c. 330 m). (B) Illustration of the calculated surface slope angles (in red) in Billefjorden and of the potential WNW–ESE-trending fold (in fuchsia) along the Adolfbukta fault. Notice the significant altitude drop of the base of the Wordiekammen Formation between the Pyramiden Mountain (c. 850 meters) and northern Yggdrasilkampen (c. 375 meters).-S14: Outcrop photograph showing south-dipping and southwards thickening Lower Devonian strata of the Wood Bay Formation in Triungen in the hanging wall of the NNE-dipping Hugindalen Fault.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Content:-S1: Description of the late Paleozoic sedimentary successions in central Spitsbergen from the literature.-S2: (a) Uninterpreted bathymetric data in Billefjorden and (b–d) associated zooms.-S3: Interpreted seismic sections in Billefjorden showing early Cenozoic duplexes and thrusts (yellow lines), bedding surfaces (dotted white lines) and potential multiples (dashed yellow lines). See Fig. 1 for location. (a) SSW-directed Cenozoic thrust between Phantomodden and Narveneset showing (from south to north) in the southern part a well-developed SSW-verging ramp anticline and an open, symmetric, NNE-tilted detachment/ramp anticline. (b) Top-west to top-west thrust sheet with minor reverse offsets.-S4: Uninterpreted seismic sections in Billefjorden. See S1 for location.-S5: Description and interpretation of the upper Paleozoic sedimentary successions on seismic data in Billefjorden.-Lower Devonian sedimentary rocks of the Siktefjellet and Red Bay and Andrée Land groups-Uppermost Devonian to Mississippian sedimentary rocks (Billefjorden Group)-Pennsylvanian to Permian sedimentary rocks (Gipsdalen Group)-Uppermost Mississippian to Lower Pennsylvanian Hultberget and Ebbadalen formations-Middle to lowermost Upper Pennsylvanian Minkinfjellet Formation-Uppermost Middle Pennsylvanian to lowermost Permian Wordiekammen Formation-Lower Permian Gipshuken Formation-S6: Depth conversion data including checkshot data from exploration well 7816/12-1 in Reindalspasset (upper left table; Eide et al., 1991), the depth of lithostratigraphic intervals from the well completion report (upper right table), the depth of formations of interest to the present study from the well completion report (middle right table), average velocities of stratigraphic intervals of interest to the present study from Gernigon et al. (2018; lower right table), and calculated stratigraphic thicknesses and depths, and fault offsets in Billefjorden based on velocities from well 7816/12-1 and from Gernigon et al. (2018; lowermost table).-S7: (a) Uninterpreted and (b) interpreted depth-converted seismic section NP-IS-85-05 through Billefjorden showing the main NNE-dipping shear zone (dashed yellow and grey-shaded), and some of the normal (red) and inverted brittle faults (black), and décollements and detachments (yellow) shown in Figure 4. Notice the gentle dip of the main shear zone. Abbreviation: GaF: Garmaksla fault.-S8: Bathymetric profiles across NNE–SSW-trending moraine ridges (up) and a fault-related escarpment (down). Notice the contrast between smooth, 2–3 meters high drops in bathymetry across moraine ridges (black arrows) and the abrupt 5 meter drop across the fault-related escarpment (red arrow).-S9: Bathymetric profiles across Billefjorden showing the N–S-trending ridge (red arrows). Location of the profiles is shown as white lines in supplement S1d. Notice the steep western flank and the smooth and gently east-dipping top and eastern flank of the ridge.-S10: Satellite images in (A) Narveneset and (B) Brimerpynten (see Figure 1B for locations) showing smooth, high-frequency, gently curving, NNE–SSW- to NNW–SSE-trending lineaments (dotted white lines) most likely representing sub-vertical bedding surfaces within Lower Devonian sedimentary strata (Dallmann et al., 2004a; Dallmann & Piepjohn, 2020) crosscut by discrete, linear to undulating, dominantly WNW–ESE-trending fault-related escarpments (red lines). The legend is common to A and B.-S11: Field photograph of WNW–ESE-striking brittle faults in Narveneset showing sinistral sense of shear.-S12: Decreasing tectonic activity from Early Devonian to early Permian times.-Early Devonian to Mississippian collapse and rift “initiation” phase-Latest Mississippian to earliest/Early Pennsylvanian “interaction and linkage” phase-Middle Pennsylvanian “through-going fault zones” phase-Late Pennsylvanian to earliest Permian latest- to post-rift phase-Conclusion-Figure 1 electronic supplement 12-S13: (A) Calculation of the surface slope angles between Pyramiden and Yggdrasilkampen and Yggdrasilkampen and Asvindalen and of the altitude difference due to the normal dip angle (c. 145 m) and to Eurekan deformation (c. 330 m). (B) Illustration of the calculated surface slope angles (in red) in Billefjorden and of the potential WNW–ESE-trending fold (in fuchsia) along the Adolfbukta fault. Notice the significant altitude drop of the base of the Wordiekammen Formation between the Pyramiden Mountain (c. 850 meters) and northern Yggdrasilkampen (c. 375 meters).-S14: Outcrop photograph showing south-dipping and southwards thickening Lower Devonian strata of the Wood Bay Formation in Triungen in the hanging wall of the NNE-dipping Hugindalen Fault.","Subject":"Earth and Environmental Sciences","Keywords":"Billefjorden; Carboniferous; Cenozoic; décollement; Devonian basin; Eurekan; fault; fold; Permian; shear zone; Svalbard; Svalbardian Orogeny; Timanian Orogeny"},{"pid":"doi:10.18710/1WTNQB","Title":"Supplements for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplements for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard' Description:'Supplementary data for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Billefjorden; Carboniferous; Cenozoic; décollement; Devonian basin; Eurekan; fault; fold; Permian; shear zone; Svalbard; Svalbardian Orogeny; Timanian Orogeny+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplements for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard' Description:'Supplementary data for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary data for Devonian–Carboniferous extension and Eurekan inversion along an inherited WNW–ESE-striking fault system in Billefjorden, Svalbard.","Subject":"Earth and Environmental Sciences","Keywords":"Billefjorden; Carboniferous; Cenozoic; décollement; Devonian basin; Eurekan; fault; fold; Permian; shear zone; Svalbard; Svalbardian Orogeny; Timanian Orogeny"},{"pid":"doi:10.18710/1ZLFXC","Title":"TGO Ramfjordmoen Ionosonde Data August 2012","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1ZZESW","Title":"TGO Ramfjordmoen Ionosonde Data April 2011","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2011' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2011' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/20VIVT","Title":"The typelog from the Geosteering World Cup 2020 semi-finals","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The typelog from the Geosteering World Cup 2020 semi-finals' Description:'This dataset contains the offset-well gamma-ray log (typelog) from the Geosteering World Cup 2020 semi-finals organized by Rogii Inc., the unconventional well described in Tadjer et al. 2021. The data is in gr.csv. This synthetic log is built based on observation in the Middle Woodford formation, located in the South Central Oklahoma Oil Province (SCOOP) in the United States. The log is discretized every half a foot and we normalize the values of the log to 0-1 interval.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {gamma-ray log; geophysical log; geosteering; geosteering world cup; South Central Oklahoma Oil Province+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The typelog from the Geosteering World Cup 2020 semi-finals' Description:'This dataset contains the offset-well gamma-ray log (typelog) from the Geosteering World Cup 2020 semi-finals organized by Rogii Inc., the unconventional well described in Tadjer et al. 2021. The data is in gr.csv. This synthetic log is built based on observation in the Middle Woodford formation, located in the South Central Oklahoma Oil Province (SCOOP) in the United States. The log is discretized every half a foot and we normalize the values of the log to 0-1 interval.' Subject:'Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the offset-well gamma-ray log (typelog) from the Geosteering World Cup 2020 semi-finals organized by Rogii Inc., the unconventional well described in Tadjer et al. 2021. The data is in gr.csv. This synthetic log is built based on observation in the Middle Woodford formation, located in the South Central Oklahoma Oil Province (SCOOP) in the United States. The log is discretized every half a foot and we normalize the values of the log to 0-1 interval.","Subject":"Earth and Environmental Sciences","Keywords":"gamma-ray log; geophysical log; geosteering; geosteering world cup; South Central Oklahoma Oil Province"},{"pid":"doi:10.18710/20VUXR","Title":"Hydrographic data from Northern Norwegian fjords - 2011","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 2011' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTD; Salinity; Temperature+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hydrographic data from Northern Norwegian fjords - 2011' Description:'The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).","Subject":"Earth and Environmental Sciences","Keywords":"CTD; Salinity; Temperature"},{"pid":"doi:10.18710/25JRO0","Title":"TGO Ramfjordmoen Ionosonde Data November 2013","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2013' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2013' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/26NEEP","Title":"TGO Ramfjordmoen Ionosonde Data July 1994","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/27YHAH","Title":"TGO Ramfjordmoen Ionosonde Data April 2019","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2019' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2019.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2019' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2019.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2019.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2DZOZL","Title":"TGO Ramfjordmoen Ionosonde Data April 1996","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 1996' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from April 01-30, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 1996' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from April 01-30, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from April 01-30, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2E3XET","Title":"Scenery photos without the frame (1985)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Scenery photos without the frame (1985)' Description:'Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photographs were taken by divers. These photographs were taken in support of the Rocky-bottom photographic time series Northern Norway and Svalbard.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {benthos; climate change; earth science; marine biology; Northern Norway; photographs; rocky bottom; SCUBA diving; Svalbard; time series+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Scenery photos without the frame (1985)' Description:'Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photographs were taken by divers. These photographs were taken in support of the Rocky-bottom photographic time series Northern Norway and Svalbard.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photographs were taken by divers. These photographs were taken in support of the Rocky-bottom photographic time series Northern Norway and Svalbard.","Subject":"Earth and Environmental Sciences","Keywords":"benthos; climate change; earth science; marine biology; Northern Norway; photographs; rocky bottom; SCUBA diving; Svalbard; time series"},{"pid":"doi:10.18710/2FCYMQ","Title":"TGO Ramfjordmoen Ionosonde Data March 2008","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2008' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2008' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2HTCWA","Title":"TGO Ramfjordmoen Ionosonde Data January 2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2P4FJE","Title":"TGO Ramfjordmoen Ionosonde Data August 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2VCYGB","Title":"TGO Ramfjordmoen Ionosonde Data October 2010","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2010' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2010' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2VFYB3","Title":"TGO Ramfjordmoen Ionosonde Data June 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2WJZWG","Title":"GNSS Total Electron Content Data (60 s) at Longyearbyen in 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2016' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Longyearbyen; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2016' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":"Earth and Environmental Sciences","Keywords":"Longyearbyen; total electron content"},{"pid":"doi:10.18710/2ZG3EI","Title":"Replication Data for: Accounting for food web dynamics when assessing the impact of mesopredator control on declining prey populations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Accounting for food web dynamics when assessing the impact of mesopredator control on declining prey populations' Description:'Abstract from accepted paper in Journal of Applied Ecology1.Increasing populations of mesopredators are suspected to cause declines in vulnerable wildlife to the extent that mesopredator decimation actions (culling) have become commonplace. Design constraints, especially a lack of spatial replication, often hamper the assessment of the impact of such actions. However, extensive temporal replication (i.e. time series) and accounting for potentially confounding variables may alleviate this problem. 2.In alpine-arctic tundra, the red fox Vulpes vulpes is increasing, while many bird species are declining, likely due to increased predation. Here, we assessed the impact of a long-term (12-year) and spatially extensive (~3500km2) red fox culling action on the red listed willow ptarmigan Lagopus lagopus in the Norwegian Arctic. Ptarmigan populations were monitored annually in the impact area and in an adjacent no-action area, including a 5-year period before the action commenced. While logistical constraints prohibited monitoring of red fox population densities, the number of culled foxes and three influential food web covariates were monitored after the onset of the culling action. 3.A Before-After-Control-Impact-Paired-Series (BACIPS) analysis without food web covariates indicated that red fox culling curbed the decline of the population in the impact area, and that ptarmigan population density became ~25 % higher than in the reference area.4.Spatially and temporally variable drivers within the food web confounded the simple BACIPS analysis. Accounting for three food web drivers as covariates in a linear mixed model after the onset of action, yielded a more unbiased impact estimate that amounted to ~40 % higher ptarmigan population density (4.3 more ptarmigan/km2) in the red fox impact area. 5.Synthesis and applications. We provide the first evidence of the role of the recent expansion of red fox in the decline of bird populations in tundra. We also show that red fox culling may be able to curb such declines, given that management actions are large-scale and long-term. As mesopredator culling campaigns are often expensive and controversial, it is important that their impacts are accurately assessed. We demonstrate that the accuracy of impact assessments can be profoundly increased by monitoring drivers of food web dynamics that impinge on the target species so that such drivers can be included as covariates in the analysis. This applies in particular to declining bird populations in boreal and arctic food webs ruled by strong multi-annual interaction cycles.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Conservation assessment; Ecology; Hierarchical models+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Accounting for food web dynamics when assessing the impact of mesopredator control on declining prey populations' Description:'Abstract from accepted paper in Journal of Applied Ecology1.Increasing populations of mesopredators are suspected to cause declines in vulnerable wildlife to the extent that mesopredator decimation actions (culling) have become commonplace. Design constraints, especially a lack of spatial replication, often hamper the assessment of the impact of such actions. However, extensive temporal replication (i.e. time series) and accounting for potentially confounding variables may alleviate this problem. 2.In alpine-arctic tundra, the red fox Vulpes vulpes is increasing, while many bird species are declining, likely due to increased predation. Here, we assessed the impact of a long-term (12-year) and spatially extensive (~3500km2) red fox culling action on the red listed willow ptarmigan Lagopus lagopus in the Norwegian Arctic. Ptarmigan populations were monitored annually in the impact area and in an adjacent no-action area, including a 5-year period before the action commenced. While logistical constraints prohibited monitoring of red fox population densities, the number of culled foxes and three influential food web covariates were monitored after the onset of the culling action. 3.A Before-After-Control-Impact-Paired-Series (BACIPS) analysis without food web covariates indicated that red fox culling curbed the decline of the population in the impact area, and that ptarmigan population density became ~25 % higher than in the reference area.4.Spatially and temporally variable drivers within the food web confounded the simple BACIPS analysis. Accounting for three food web drivers as covariates in a linear mixed model after the onset of action, yielded a more unbiased impact estimate that amounted to ~40 % higher ptarmigan population density (4.3 more ptarmigan/km2) in the red fox impact area. 5.Synthesis and applications. We provide the first evidence of the role of the recent expansion of red fox in the decline of bird populations in tundra. We also show that red fox culling may be able to curb such declines, given that management actions are large-scale and long-term. As mesopredator culling campaigns are often expensive and controversial, it is important that their impacts are accurately assessed. We demonstrate that the accuracy of impact assessments can be profoundly increased by monitoring drivers of food web dynamics that impinge on the target species so that such drivers can be included as covariates in the analysis. This applies in particular to declining bird populations in boreal and arctic food webs ruled by strong multi-annual interaction cycles.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract from accepted paper in Journal of Applied Ecology1.Increasing populations of mesopredators are suspected to cause declines in vulnerable wildlife to the extent that mesopredator decimation actions (culling) have become commonplace. Design constraints, especially a lack of spatial replication, often hamper the assessment of the impact of such actions. However, extensive temporal replication (i.e. time series) and accounting for potentially confounding variables may alleviate this problem. 2.In alpine-arctic tundra, the red fox Vulpes vulpes is increasing, while many bird species are declining, likely due to increased predation. Here, we assessed the impact of a long-term (12-year) and spatially extensive (~3500km2) red fox culling action on the red listed willow ptarmigan Lagopus lagopus in the Norwegian Arctic. Ptarmigan populations were monitored annually in the impact area and in an adjacent no-action area, including a 5-year period before the action commenced. While logistical constraints prohibited monitoring of red fox population densities, the number of culled foxes and three influential food web covariates were monitored after the onset of the culling action. 3.A Before-After-Control-Impact-Paired-Series (BACIPS) analysis without food web covariates indicated that red fox culling curbed the decline of the population in the impact area, and that ptarmigan population density became ~25 % higher than in the reference area.4.Spatially and temporally variable drivers within the food web confounded the simple BACIPS analysis. Accounting for three food web drivers as covariates in a linear mixed model after the onset of action, yielded a more unbiased impact estimate that amounted to ~40 % higher ptarmigan population density (4.3 more ptarmigan/km2) in the red fox impact area. 5.Synthesis and applications. We provide the first evidence of the role of the recent expansion of red fox in the decline of bird populations in tundra. We also show that red fox culling may be able to curb such declines, given that management actions are large-scale and long-term. As mesopredator culling campaigns are often expensive and controversial, it is important that their impacts are accurately assessed. We demonstrate that the accuracy of impact assessments can be profoundly increased by monitoring drivers of food web dynamics that impinge on the target species so that such drivers can be included as covariates in the analysis. This applies in particular to declining bird populations in boreal and arctic food webs ruled by strong multi-annual interaction cycles.","Subject":"Earth and Environmental Sciences","Keywords":"Conservation assessment; Ecology; Hierarchical models"},{"pid":"doi:10.18710/2ZG3EI","Title":"Replication Data for: Accounting for food web dynamics when assessing the impact of mesopredator control on declining prey populations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Accounting for food web dynamics when assessing the impact of mesopredator control on declining prey populations' Description:'These are files to be able to reproduce the analyses and plots in Henden et al. 2020 in Journal of Applied Ecology.Data on willow ptarmigan are based on line transect distance sampling.Small rodent data are based on an abundance index from sampling using the small quadrat sampling scheme.Carcass data comes from a national database of dead reindeer foundHarvest data comes from detailed records from the main management and landowner, FeFo, in Finnmark.Data on red foxes comes from an ongoing fox decimation program on Varanger Peninsula.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Conservation assessment; Ecology; Hierarchical models+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Accounting for food web dynamics when assessing the impact of mesopredator control on declining prey populations' Description:'These are files to be able to reproduce the analyses and plots in Henden et al. 2020 in Journal of Applied Ecology.Data on willow ptarmigan are based on line transect distance sampling.Small rodent data are based on an abundance index from sampling using the small quadrat sampling scheme.Carcass data comes from a national database of dead reindeer foundHarvest data comes from detailed records from the main management and landowner, FeFo, in Finnmark.Data on red foxes comes from an ongoing fox decimation program on Varanger Peninsula.' Subject:'Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are files to be able to reproduce the analyses and plots in Henden et al. 2020 in Journal of Applied Ecology.Data on willow ptarmigan are based on line transect distance sampling.Small rodent data are based on an abundance index from sampling using the small quadrat sampling scheme.Carcass data comes from a national database of dead reindeer foundHarvest data comes from detailed records from the main management and landowner, FeFo, in Finnmark.Data on red foxes comes from an ongoing fox decimation program on Varanger Peninsula.","Subject":"Earth and Environmental Sciences","Keywords":"Conservation assessment; Ecology; Hierarchical models"},{"pid":"doi:10.18710/3APRCZ","Title":"GNSS Scintillation Data (60 s) at Hopen in 2021","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Hopen in 2021' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Hopen; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Hopen in 2021' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":"Earth and Environmental Sciences","Keywords":"amplitude scintillation; Hopen; phase scintillation"},{"pid":"doi:10.18710/3CVQAG","Title":"Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics' Description:'[Article abstract Alsos et al. 2020] Genome skimming has the potential for generating large data sets for DNA barcoding and wider biodiversity genomic studies, particularly via the assembly and annotation of full chloroplast (cpDNA) and nuclear ribosomal DNA (nrDNA) sequences. We compare the success of genome skims of 2051 herbarium specimens from Norway/Polar regions with 4604 freshly collected, silica gel dried specimens mainly from the European Alps and the Carpathians. Overall, we were able to assemble the full chloroplast genome for 67% of the samples and the full nrDNA cluster for 86%. Average insert length, cover and full cpDNA and rDNA assembly were considerably higher for silica gel dried than herbarium-preserved material. However, complete plastid genomes were still assembled for 54% of herbarium samples compared to 70% of silica dried samples. Moreover, there was comparable recovery of coding genes from both tissue sources (121 for silica gel dried and 118 for herbarium material) and only minor differences in assembly success of standard barcodes between silica dried (89% ITS2, 96% matK and rbcL) and herbarium material (87% ITS2, 98% matK and rbcL). The success rate was > 90% for all three markers in 1034 of 1036 genera in 160 families, and only Boraginaceae worked poorly, with 7 genera failing. Our study shows that large-scale genome skims are feasible and work well across most of the land plant families and genera we tested, independently of material type. It is therefore an efficient method for increasing the availability of plant biodiversity genomic data to support a multitude of downstream applications.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {chloroplast DNA; environmental DNA; genome contigs; nuclear ribosomal DNA; phylogenomic; plant DNA; polar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics' Description:'[Article abstract Alsos et al. 2020] Genome skimming has the potential for generating large data sets for DNA barcoding and wider biodiversity genomic studies, particularly via the assembly and annotation of full chloroplast (cpDNA) and nuclear ribosomal DNA (nrDNA) sequences. We compare the success of genome skims of 2051 herbarium specimens from Norway/Polar regions with 4604 freshly collected, silica gel dried specimens mainly from the European Alps and the Carpathians. Overall, we were able to assemble the full chloroplast genome for 67% of the samples and the full nrDNA cluster for 86%. Average insert length, cover and full cpDNA and rDNA assembly were considerably higher for silica gel dried than herbarium-preserved material. However, complete plastid genomes were still assembled for 54% of herbarium samples compared to 70% of silica dried samples. Moreover, there was comparable recovery of coding genes from both tissue sources (121 for silica gel dried and 118 for herbarium material) and only minor differences in assembly success of standard barcodes between silica dried (89% ITS2, 96% matK and rbcL) and herbarium material (87% ITS2, 98% matK and rbcL). The success rate was > 90% for all three markers in 1034 of 1036 genera in 160 families, and only Boraginaceae worked poorly, with 7 genera failing. Our study shows that large-scale genome skims are feasible and work well across most of the land plant families and genera we tested, independently of material type. It is therefore an efficient method for increasing the availability of plant biodiversity genomic data to support a multitude of downstream applications.' Subject:'Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"[Article abstract Alsos et al. 2020] Genome skimming has the potential for generating large data sets for DNA barcoding and wider biodiversity genomic studies, particularly via the assembly and annotation of full chloroplast (cpDNA) and nuclear ribosomal DNA (nrDNA) sequences. We compare the success of genome skims of 2051 herbarium specimens from Norway/Polar regions with 4604 freshly collected, silica gel dried specimens mainly from the European Alps and the Carpathians. Overall, we were able to assemble the full chloroplast genome for 67% of the samples and the full nrDNA cluster for 86%. Average insert length, cover and full cpDNA and rDNA assembly were considerably higher for silica gel dried than herbarium-preserved material. However, complete plastid genomes were still assembled for 54% of herbarium samples compared to 70% of silica dried samples. Moreover, there was comparable recovery of coding genes from both tissue sources (121 for silica gel dried and 118 for herbarium material) and only minor differences in assembly success of standard barcodes between silica dried (89% ITS2, 96% matK and rbcL) and herbarium material (87% ITS2, 98% matK and rbcL). The success rate was > 90% for all three markers in 1034 of 1036 genera in 160 families, and only Boraginaceae worked poorly, with 7 genera failing. Our study shows that large-scale genome skims are feasible and work well across most of the land plant families and genera we tested, independently of material type. It is therefore an efficient method for increasing the availability of plant biodiversity genomic data to support a multitude of downstream applications.","Subject":"Earth and Environmental Sciences","Keywords":"chloroplast DNA; environmental DNA; genome contigs; nuclear ribosomal DNA; phylogenomic; plant DNA; polar"},{"pid":"doi:10.18710/3CVQAG","Title":"Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics' Description:'[Article abstract Wang et al. submitted] During the last glacial-interglacial cycle, arctic biota experienced drastic climatic changes, yet the nature, extent and rate of their responses are not fully understood. Here we report the first large-scale environmental DNA metagenomic study of ancient plant and mammal communities using 535 permafrost and lake sediment samples from across the Arctic spanning the last 50,000 years. Additionally, we present 1,541 contemporary plant genome assemblies generated as reference sequences. Our study provides several novel insights into the long-term dynamics of the arctic biota at circumpolar and regional scales. Key findings include: (i) a relatively homogeneous steppe-tundra flora dominated the Arctic during the Last Glacial Maximum, followed by regional divergence of vegetation in the Holocene; (ii) certain grazing animals consistently co-occurred in space and time; (iii) humans appear to have been a minor factor in driving animal distributions; (iv) higher effective precipitation, and an increase in the proportion of wetland plants, show negative effects on animal diversity; (v) the persistence of the steppe-tundra vegetation in northern Siberia allowed the late survival of several now-extinct megafauna species, including woolly mammoth to 3.9±0.2 ka (kilo annum Before Present) and woolly rhinoceros to 9.8±0.2 ka; and (vi) phylogenetic analysis of mammoth eDNA reveals a previously unsampled mitochondrial lineage. Our findings highlight the power of ancient environmental metagenomics to advance understanding of population histories and long-term ecological dynamics.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {chloroplast DNA; environmental DNA; genome contigs; nuclear ribosomal DNA; phylogenomic; plant DNA; polar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics' Description:'[Article abstract Wang et al. submitted] During the last glacial-interglacial cycle, arctic biota experienced drastic climatic changes, yet the nature, extent and rate of their responses are not fully understood. Here we report the first large-scale environmental DNA metagenomic study of ancient plant and mammal communities using 535 permafrost and lake sediment samples from across the Arctic spanning the last 50,000 years. Additionally, we present 1,541 contemporary plant genome assemblies generated as reference sequences. Our study provides several novel insights into the long-term dynamics of the arctic biota at circumpolar and regional scales. Key findings include: (i) a relatively homogeneous steppe-tundra flora dominated the Arctic during the Last Glacial Maximum, followed by regional divergence of vegetation in the Holocene; (ii) certain grazing animals consistently co-occurred in space and time; (iii) humans appear to have been a minor factor in driving animal distributions; (iv) higher effective precipitation, and an increase in the proportion of wetland plants, show negative effects on animal diversity; (v) the persistence of the steppe-tundra vegetation in northern Siberia allowed the late survival of several now-extinct megafauna species, including woolly mammoth to 3.9±0.2 ka (kilo annum Before Present) and woolly rhinoceros to 9.8±0.2 ka; and (vi) phylogenetic analysis of mammoth eDNA reveals a previously unsampled mitochondrial lineage. Our findings highlight the power of ancient environmental metagenomics to advance understanding of population histories and long-term ecological dynamics.' Subject:'Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"[Article abstract Wang et al. submitted] During the last glacial-interglacial cycle, arctic biota experienced drastic climatic changes, yet the nature, extent and rate of their responses are not fully understood. Here we report the first large-scale environmental DNA metagenomic study of ancient plant and mammal communities using 535 permafrost and lake sediment samples from across the Arctic spanning the last 50,000 years. Additionally, we present 1,541 contemporary plant genome assemblies generated as reference sequences. Our study provides several novel insights into the long-term dynamics of the arctic biota at circumpolar and regional scales. Key findings include: (i) a relatively homogeneous steppe-tundra flora dominated the Arctic during the Last Glacial Maximum, followed by regional divergence of vegetation in the Holocene; (ii) certain grazing animals consistently co-occurred in space and time; (iii) humans appear to have been a minor factor in driving animal distributions; (iv) higher effective precipitation, and an increase in the proportion of wetland plants, show negative effects on animal diversity; (v) the persistence of the steppe-tundra vegetation in northern Siberia allowed the late survival of several now-extinct megafauna species, including woolly mammoth to 3.9±0.2 ka (kilo annum Before Present) and woolly rhinoceros to 9.8±0.2 ka; and (vi) phylogenetic analysis of mammoth eDNA reveals a previously unsampled mitochondrial lineage. Our findings highlight the power of ancient environmental metagenomics to advance understanding of population histories and long-term ecological dynamics.","Subject":"Earth and Environmental Sciences","Keywords":"chloroplast DNA; environmental DNA; genome contigs; nuclear ribosomal DNA; phylogenomic; plant DNA; polar"},{"pid":"doi:10.18710/3CVQAG","Title":"Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics' Description:'[Dataset abstract] This dataset contains the assembled genome contigs (whole genome level) of the PhyloNorway plant database used in Wang et al. 2021 Late Quaternary Dynamics of Arctic Biota Revealed by Ancient Environmental Metagenomics. Methods for generating this database can be found in the paper. The 7 fasta files are the database. The PhyloNorway_com_acc2TaxaID.txt supplies a NCBI format acc2TaxaID file matching accession ID to NCBI TaxaID. Additional information about the database can be found in Alsos et al. 2020.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {chloroplast DNA; environmental DNA; genome contigs; nuclear ribosomal DNA; phylogenomic; plant DNA; polar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supporting data for: Late Quaternary dynamics of Arctic biota revealed by ancient environmental metagenomics' Description:'[Dataset abstract] This dataset contains the assembled genome contigs (whole genome level) of the PhyloNorway plant database used in Wang et al. 2021 Late Quaternary Dynamics of Arctic Biota Revealed by Ancient Environmental Metagenomics. Methods for generating this database can be found in the paper. The 7 fasta files are the database. The PhyloNorway_com_acc2TaxaID.txt supplies a NCBI format acc2TaxaID file matching accession ID to NCBI TaxaID. Additional information about the database can be found in Alsos et al. 2020.' Subject:'Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"[Dataset abstract] This dataset contains the assembled genome contigs (whole genome level) of the PhyloNorway plant database used in Wang et al. 2021 Late Quaternary Dynamics of Arctic Biota Revealed by Ancient Environmental Metagenomics. Methods for generating this database can be found in the paper. The 7 fasta files are the database. The PhyloNorway_com_acc2TaxaID.txt supplies a NCBI format acc2TaxaID file matching accession ID to NCBI TaxaID. Additional information about the database can be found in Alsos et al. 2020.","Subject":"Earth and Environmental Sciences","Keywords":"chloroplast DNA; environmental DNA; genome contigs; nuclear ribosomal DNA; phylogenomic; plant DNA; polar"},{"pid":"doi:10.18710/3CYTKW","Title":"TGO Ramfjordmoen Ionosonde Data March 2012","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3DTHN0","Title":"TGO Ramfjordmoen Ionosonde Data August 2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2018' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2018' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3FOFWO","Title":"GNSS Total Electron Content Data (60 s) at Longyearbyen in 2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2017' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Longyearbyen; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2017' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":"Earth and Environmental Sciences","Keywords":"Longyearbyen; total electron content"},{"pid":"doi:10.18710/3HFP0C","Title":"TGO Ramfjordmoen Ionosonde Data June 2021","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3KUWBF","Title":"TGO Ramfjordmoen Ionosonde Data April 2021","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":"Earth and Environmental Sciences","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.11588/data/0HJW2A","Title":"Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]' Description:'Psychological distance effects have attracted the attention of behavioral economists in the context of descriptive modeling and behavioral policy. Indeed, psychological distance effects have been shown for an increasing number of domains and applications relevant to economic decision making. The current paper questions whether these effects are robust enough for economists to apply them to relevant policy questions. We demonstrate systematic replication failures for the distance-from-a-distance effect shown by Maglio et al. (2013, Journal of Experimental Psychology: General), and relate them to theoretical arguments suggesting thatpsychological distance theories are currently too poorly specified to make predictions that are precise enough for economic analyses.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {construal level theory; psychological distance; replication; risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]' Description:'Psychological distance effects have attracted the attention of behavioral economists in the context of descriptive modeling and behavioral policy. Indeed, psychological distance effects have been shown for an increasing number of domains and applications relevant to economic decision making. The current paper questions whether these effects are robust enough for economists to apply them to relevant policy questions. We demonstrate systematic replication failures for the distance-from-a-distance effect shown by Maglio et al. (2013, Journal of Experimental Psychology: General), and relate them to theoretical arguments suggesting thatpsychological distance theories are currently too poorly specified to make predictions that are precise enough for economic analyses.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Psychological distance effects have attracted the attention of behavioral economists in the context of descriptive modeling and behavioral policy. Indeed, psychological distance effects have been shown for an increasing number of domains and applications relevant to economic decision making. The current paper questions whether these effects are robust enough for economists to apply them to relevant policy questions. We demonstrate systematic replication failures for the distance-from-a-distance effect shown by Maglio et al. (2013, Journal of Experimental Psychology: General), and relate them to theoretical arguments suggesting thatpsychological distance theories are currently too poorly specified to make predictions that are precise enough for economic analyses.","Subject":"Social Sciences","Keywords":"construal level theory; psychological distance; replication; risk"},{"pid":"doi:10.11588/data/10004","Title":"Belief Elicitation: A Horse Race among Truth Serums [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Belief Elicitation: A Horse Race among Truth Serums [Dataset]' Description:'We pit non-incentivized introspection against five revealed preference mechanisms (“truth serums”) in the elicitation of beliefs in a simple two-player game. We measure the additivity, the predictive power for own behaviour, and the accuracy of each method. Beliefs from incentivized methods are better predictors of participants’ own behaviour compared to introspection. However, introspection performs equally well as the truth serums in terms of accuracy and additivity. We also find that correction for risk aversion improves the additivity of scoring-rule belief reports.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {belief measurement; outcome matching; probability matching; scoring rules; subjective probability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Belief Elicitation: A Horse Race among Truth Serums [Dataset]' Description:'We pit non-incentivized introspection against five revealed preference mechanisms (“truth serums”) in the elicitation of beliefs in a simple two-player game. We measure the additivity, the predictive power for own behaviour, and the accuracy of each method. Beliefs from incentivized methods are better predictors of participants’ own behaviour compared to introspection. However, introspection performs equally well as the truth serums in terms of accuracy and additivity. We also find that correction for risk aversion improves the additivity of scoring-rule belief reports.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We pit non-incentivized introspection against five revealed preference mechanisms (“truth serums”) in the elicitation of beliefs in a simple two-player game. We measure the additivity, the predictive power for own behaviour, and the accuracy of each method. Beliefs from incentivized methods are better predictors of participants’ own behaviour compared to introspection. However, introspection performs equally well as the truth serums in terms of accuracy and additivity. We also find that correction for risk aversion improves the additivity of scoring-rule belief reports.","Subject":"Social Sciences","Keywords":"belief measurement; outcome matching; probability matching; scoring rules; subjective probability"},{"pid":"doi:10.11588/data/10005","Title":"A dynamic Ellsberg urn experiment [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A dynamic Ellsberg urn experiment [Dataset]' Description:' Abstract Many theories of updating under ambiguity assume either dynamic consistency or consequentialism to underpin behaviorally the link between conditional and unconditional preferences. To test the descriptive validity of these rationality concepts, we conduct a dynamic extension of Ellsbergʼs 3-color experiment. We find that more subjects act in line with consequentialism than with dynamic consistency and that this result is even stronger among ambiguity averse subjects. Highlights We experimentally test consequentialism versus dynamic consistency. The design is a dynamic extension of the 3-color Ellsberg urn. More subjects violate dynamic consistency than consequentialism. Violating subjects (for both axioms) are less confident in their responses. ' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambiguity; Consequentialism; Dynamic consistency; Experiment; Non-expected utility preferences; Updating+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A dynamic Ellsberg urn experiment [Dataset]' Description:' Abstract Many theories of updating under ambiguity assume either dynamic consistency or consequentialism to underpin behaviorally the link between conditional and unconditional preferences. To test the descriptive validity of these rationality concepts, we conduct a dynamic extension of Ellsbergʼs 3-color experiment. We find that more subjects act in line with consequentialism than with dynamic consistency and that this result is even stronger among ambiguity averse subjects. Highlights We experimentally test consequentialism versus dynamic consistency. The design is a dynamic extension of the 3-color Ellsberg urn. More subjects violate dynamic consistency than consequentialism. Violating subjects (for both axioms) are less confident in their responses. ' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":" Abstract Many theories of updating under ambiguity assume either dynamic consistency or consequentialism to underpin behaviorally the link between conditional and unconditional preferences. To test the descriptive validity of these rationality concepts, we conduct a dynamic extension of Ellsbergʼs 3-color experiment. We find that more subjects act in line with consequentialism than with dynamic consistency and that this result is even stronger among ambiguity averse subjects. Highlights We experimentally test consequentialism versus dynamic consistency. The design is a dynamic extension of the 3-color Ellsberg urn. More subjects violate dynamic consistency than consequentialism. Violating subjects (for both axioms) are less confident in their responses. ","Subject":"Social Sciences","Keywords":"Ambiguity; Consequentialism; Dynamic consistency; Experiment; Non-expected utility preferences; Updating"},{"pid":"doi:10.11588/data/10006","Title":"Tempus Fugit: Time Pressure in Risky Decisions [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tempus Fugit: Time Pressure in Risky Decisions [Dataset]' Description:'We study the effects of time pressure on risky decisions for pure gain prospects, pure loss prospects, and mixed prospects involving both gains and losses. In two experiments we find that time pressure has no effect on risk attitudes for gains, but increases risk aversion for losses. For mixed prospects, subjects become simultaneously more loss averse and more gain seeking under time pressure, depending on the framing of the prospects. The results suggest the importance of aspiration levels, and thus the overall probability to break even, under time pressure. We discuss the implications of our findings for decision-making situations that involve time pressure.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aspiration levels; gain seeking; loss aversion; risk aversion; time pressure+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tempus Fugit: Time Pressure in Risky Decisions [Dataset]' Description:'We study the effects of time pressure on risky decisions for pure gain prospects, pure loss prospects, and mixed prospects involving both gains and losses. In two experiments we find that time pressure has no effect on risk attitudes for gains, but increases risk aversion for losses. For mixed prospects, subjects become simultaneously more loss averse and more gain seeking under time pressure, depending on the framing of the prospects. The results suggest the importance of aspiration levels, and thus the overall probability to break even, under time pressure. We discuss the implications of our findings for decision-making situations that involve time pressure.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study the effects of time pressure on risky decisions for pure gain prospects, pure loss prospects, and mixed prospects involving both gains and losses. In two experiments we find that time pressure has no effect on risk attitudes for gains, but increases risk aversion for losses. For mixed prospects, subjects become simultaneously more loss averse and more gain seeking under time pressure, depending on the framing of the prospects. The results suggest the importance of aspiration levels, and thus the overall probability to break even, under time pressure. We discuss the implications of our findings for decision-making situations that involve time pressure.","Subject":"Social Sciences","Keywords":"aspiration levels; gain seeking; loss aversion; risk aversion; time pressure"},{"pid":"doi:10.11588/data/10009","Title":"Higher Order Risk Attitudes, Demographics, and Financial Decisions [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Higher Order Risk Attitudes, Demographics, and Financial Decisions [Dataset]' Description:'We study the prevalence of the higher order risk attitudes of prudence and temperance in an experiment with a large demographically representative sample of participants. Under expected utility, prudence and temperance are defined by a convex first, and concave second, derivative of the utility function, and have direct implications for saving behavior and portfolio choice. In the experiment, participants make pairwise choices that distinguish prudent from imprudent, and temperate from intemperate, behavior. We correlate individuals' risk aversion, prudence, and temperance levels to their demographic profiles and their financial decisions outside the experiment. We observe that the majority of individuals' decisions are consistent with risk aversion, prudence, and temperance. Prudence is positively correlated with saving, as predicted by precautionary saving theory. Temperance is negatively correlated with the riskiness of portfolio choices.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Experiment; Prudence; Temperance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Higher Order Risk Attitudes, Demographics, and Financial Decisions [Dataset]' Description:'We study the prevalence of the higher order risk attitudes of prudence and temperance in an experiment with a large demographically representative sample of participants. Under expected utility, prudence and temperance are defined by a convex first, and concave second, derivative of the utility function, and have direct implications for saving behavior and portfolio choice. In the experiment, participants make pairwise choices that distinguish prudent from imprudent, and temperate from intemperate, behavior. We correlate individuals' risk aversion, prudence, and temperance levels to their demographic profiles and their financial decisions outside the experiment. We observe that the majority of individuals' decisions are consistent with risk aversion, prudence, and temperance. Prudence is positively correlated with saving, as predicted by precautionary saving theory. Temperance is negatively correlated with the riskiness of portfolio choices.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study the prevalence of the higher order risk attitudes of prudence and temperance in an experiment with a large demographically representative sample of participants. Under expected utility, prudence and temperance are defined by a convex first, and concave second, derivative of the utility function, and have direct implications for saving behavior and portfolio choice. In the experiment, participants make pairwise choices that distinguish prudent from imprudent, and temperate from intemperate, behavior. We correlate individuals' risk aversion, prudence, and temperance levels to their demographic profiles and their financial decisions outside the experiment. We observe that the majority of individuals' decisions are consistent with risk aversion, prudence, and temperance. Prudence is positively correlated with saving, as predicted by precautionary saving theory. Temperance is negatively correlated with the riskiness of portfolio choices.","Subject":"Social Sciences","Keywords":"Experiment; Prudence; Temperance"},{"pid":"doi:10.11588/data/10010","Title":"Sick Pay Provision in Experimental Labor Markets [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sick Pay Provision in Experimental Labor Markets [Dataset]' Description:'Sick pay is a common provision in most labor contracts. This paper employs an experimental gift exchange environment to explore two related questions using both managers and undergraduates as subjects. First, do workers reciprocate generous sick pay with higher effort? Second, do firms benefit from offering sick pay? Our main finding is that workers do reciprocate generous sick pay with higher effort. However, firms benefit from offering sick pay in terms of profits only if there is competition among firms for workers. Consequently, competition leads to a higher voluntary provision of sick pay relative to a monopsonistic labor market.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Experiment; Gift exchange; Sick leave; Sick pay+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sick Pay Provision in Experimental Labor Markets [Dataset]' Description:'Sick pay is a common provision in most labor contracts. This paper employs an experimental gift exchange environment to explore two related questions using both managers and undergraduates as subjects. First, do workers reciprocate generous sick pay with higher effort? Second, do firms benefit from offering sick pay? Our main finding is that workers do reciprocate generous sick pay with higher effort. However, firms benefit from offering sick pay in terms of profits only if there is competition among firms for workers. Consequently, competition leads to a higher voluntary provision of sick pay relative to a monopsonistic labor market.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Sick pay is a common provision in most labor contracts. This paper employs an experimental gift exchange environment to explore two related questions using both managers and undergraduates as subjects. First, do workers reciprocate generous sick pay with higher effort? Second, do firms benefit from offering sick pay? Our main finding is that workers do reciprocate generous sick pay with higher effort. However, firms benefit from offering sick pay in terms of profits only if there is competition among firms for workers. Consequently, competition leads to a higher voluntary provision of sick pay relative to a monopsonistic labor market.","Subject":"Social Sciences","Keywords":"Experiment; Gift exchange; Sick leave; Sick pay"},{"pid":"doi:10.11588/data/10011","Title":"Ambiguity attitudes [Supplemental material]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ambiguity attitudes [Supplemental material]' Description:'The handbook chapter reviews experimental methods to measure ambiguity attitudes, as well as the recent experimental evidence regarding these attitudes. The data file contains background data that form the basis of Table 1 in the chapter.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ambiguity; decision under uncertainty+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ambiguity attitudes [Supplemental material]' Description:'The handbook chapter reviews experimental methods to measure ambiguity attitudes, as well as the recent experimental evidence regarding these attitudes. The data file contains background data that form the basis of Table 1 in the chapter.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The handbook chapter reviews experimental methods to measure ambiguity attitudes, as well as the recent experimental evidence regarding these attitudes. The data file contains background data that form the basis of Table 1 in the chapter.","Subject":"Social Sciences","Keywords":"ambiguity; decision under uncertainty"},{"pid":"doi:10.11588/data/10013","Title":"Uniform vs. discriminatory auctions with variable supply – experimental evidence [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Uniform vs. discriminatory auctions with variable supply – experimental evidence [Dataset]' Description:'In the variable supply auction considered here, the seller decides how many customers with unit demand to serve after observing their bids. Bidders are uncertain about the seller's cost. We experimentally investigate whether a uniform or a discriminatory price auction is better for the seller in this setting. Exactly as predicted by theory, it turns out that the uniform price auction produces substantially higher bids, and consequently yields higher revenues and profits for the seller. Furthermore, again as predicted by theory, the uniform price auction yields a higher number of transactions, which makes it also the more efficient auction format.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Auctions; Discriminatory; Experiment; Uniform+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Uniform vs. discriminatory auctions with variable supply – experimental evidence [Dataset]' Description:'In the variable supply auction considered here, the seller decides how many customers with unit demand to serve after observing their bids. Bidders are uncertain about the seller's cost. We experimentally investigate whether a uniform or a discriminatory price auction is better for the seller in this setting. Exactly as predicted by theory, it turns out that the uniform price auction produces substantially higher bids, and consequently yields higher revenues and profits for the seller. Furthermore, again as predicted by theory, the uniform price auction yields a higher number of transactions, which makes it also the more efficient auction format.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In the variable supply auction considered here, the seller decides how many customers with unit demand to serve after observing their bids. Bidders are uncertain about the seller's cost. We experimentally investigate whether a uniform or a discriminatory price auction is better for the seller in this setting. Exactly as predicted by theory, it turns out that the uniform price auction produces substantially higher bids, and consequently yields higher revenues and profits for the seller. Furthermore, again as predicted by theory, the uniform price auction yields a higher number of transactions, which makes it also the more efficient auction format.","Subject":"Social Sciences","Keywords":"Auctions; Discriminatory; Experiment; Uniform"},{"pid":"doi:10.11588/data/10014","Title":"Stability of the Cournot Process - Experimental Evidence [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stability of the Cournot Process - Experimental Evidence [Dataset]' Description:'We report results of experiments designed to test the predictions of the best-reply process. In a Cournot oligopoly with four firms, the best-reply process should theoretically explode if demand and cost functions are linear. We find, however, no experimental evidence of such instability. Moreover, we find no differences between a market which theoretically should not converge to Nash equilibrium and one which should converge because of inertia. We investigate the power of several learning dynamics to explain this unpredicted stability.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {best-reply process; Cournot oligopoly; experiments; imitation; learning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stability of the Cournot Process - Experimental Evidence [Dataset]' Description:'We report results of experiments designed to test the predictions of the best-reply process. In a Cournot oligopoly with four firms, the best-reply process should theoretically explode if demand and cost functions are linear. We find, however, no experimental evidence of such instability. Moreover, we find no differences between a market which theoretically should not converge to Nash equilibrium and one which should converge because of inertia. We investigate the power of several learning dynamics to explain this unpredicted stability.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We report results of experiments designed to test the predictions of the best-reply process. In a Cournot oligopoly with four firms, the best-reply process should theoretically explode if demand and cost functions are linear. We find, however, no experimental evidence of such instability. Moreover, we find no differences between a market which theoretically should not converge to Nash equilibrium and one which should converge because of inertia. We investigate the power of several learning dynamics to explain this unpredicted stability.","Subject":"Social Sciences","Keywords":"best-reply process; Cournot oligopoly; experiments; imitation; learning"},{"pid":"doi:10.11588/data/10015","Title":"Hierarchy, Coercion, and Exploitation: An Experimental Analysis [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hierarchy, Coercion, and Exploitation: An Experimental Analysis [Dataset]' Description:'The power to coerce workers is important for the efficient operation of hierarchically structured organizations. However, this power can also be used by managers to exploit their subordinates for their own benefit. We examine the relationship between the power to coerce and exploitation in a laboratory experiment where a senior and a junior player interact repeatedly for a finite number of periods. We find that senior players try repeatedly to use their power to exploit junior workers. These attempts are successful only when junior workers have incomplete information about how their effort impacts on the earnings of senior players, but not when they have complete information. Evidence from an incentive-compatible questionnaire indicates that the social acceptability of exploitation depends on whether the junior worker can detect she is being exploited. We also show how a history of exploitation affects future interactions.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Coercion; Disobedience; Exploitation; Hierarchy; Social norms+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hierarchy, Coercion, and Exploitation: An Experimental Analysis [Dataset]' Description:'The power to coerce workers is important for the efficient operation of hierarchically structured organizations. However, this power can also be used by managers to exploit their subordinates for their own benefit. We examine the relationship between the power to coerce and exploitation in a laboratory experiment where a senior and a junior player interact repeatedly for a finite number of periods. We find that senior players try repeatedly to use their power to exploit junior workers. These attempts are successful only when junior workers have incomplete information about how their effort impacts on the earnings of senior players, but not when they have complete information. Evidence from an incentive-compatible questionnaire indicates that the social acceptability of exploitation depends on whether the junior worker can detect she is being exploited. We also show how a history of exploitation affects future interactions.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The power to coerce workers is important for the efficient operation of hierarchically structured organizations. However, this power can also be used by managers to exploit their subordinates for their own benefit. We examine the relationship between the power to coerce and exploitation in a laboratory experiment where a senior and a junior player interact repeatedly for a finite number of periods. We find that senior players try repeatedly to use their power to exploit junior workers. These attempts are successful only when junior workers have incomplete information about how their effort impacts on the earnings of senior players, but not when they have complete information. Evidence from an incentive-compatible questionnaire indicates that the social acceptability of exploitation depends on whether the junior worker can detect she is being exploited. We also show how a history of exploitation affects future interactions.","Subject":"Social Sciences","Keywords":"Coercion; Disobedience; Exploitation; Hierarchy; Social norms"},{"pid":"doi:10.11588/data/10017","Title":"Two are Few and Four are Many: Number Effects in Experimental Oligopoly [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Two are Few and Four are Many: Number Effects in Experimental Oligopoly [Dataset]' Description:'In this paper we investigate how the competitiveness of Cournot markets varies with the number of firms in an industry. We review previous Cournot experiments in the literature. Additionally, we conduct a new series of experiments studying oligopolies with two, three, four, and five firms in a unified frame. With two firms we find some collusion. Three-firm oligopolies tend to produce outputs at the Nash level. Markets with four or five firms are never collusive and typically settle at or above the Cournot outcome. Some of those markets are actually quite competitive with outputs close to the Walrasian outcome.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Collusion; Cournot oligopoly; Experiments+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Two are Few and Four are Many: Number Effects in Experimental Oligopoly [Dataset]' Description:'In this paper we investigate how the competitiveness of Cournot markets varies with the number of firms in an industry. We review previous Cournot experiments in the literature. Additionally, we conduct a new series of experiments studying oligopolies with two, three, four, and five firms in a unified frame. With two firms we find some collusion. Three-firm oligopolies tend to produce outputs at the Nash level. Markets with four or five firms are never collusive and typically settle at or above the Cournot outcome. Some of those markets are actually quite competitive with outputs close to the Walrasian outcome.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In this paper we investigate how the competitiveness of Cournot markets varies with the number of firms in an industry. We review previous Cournot experiments in the literature. Additionally, we conduct a new series of experiments studying oligopolies with two, three, four, and five firms in a unified frame. With two firms we find some collusion. Three-firm oligopolies tend to produce outputs at the Nash level. Markets with four or five firms are never collusive and typically settle at or above the Cournot outcome. Some of those markets are actually quite competitive with outputs close to the Walrasian outcome.","Subject":"Social Sciences","Keywords":"Collusion; Cournot oligopoly; Experiments"},{"pid":"doi:10.11588/data/10018","Title":"On the Ingredients for Bubble Formation: Informed Traders and Communication [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'On the Ingredients for Bubble Formation: Informed Traders and Communication [Dataset]' Description:'Bubbles in asset markets have been documented in numerous experiments. Most experiments in which bubbles occur feature a declining fundamental value. This feature has been criticized for being atypical of real financial markets. Here, we experimentally study other ingredients for bubble formation that are common in such markets, namely the existence of inside information and communication among traders. We find that bubbles and mirages can occur if these additional ingredients are present. In particular, the mere possibility that some traders are better informed than others can create bubbles. Surprisingly, communication turns out to be counterproductive for bubble formation.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Asset markets; Bubbles; Dividends; Experiment; Mirages+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'On the Ingredients for Bubble Formation: Informed Traders and Communication [Dataset]' Description:'Bubbles in asset markets have been documented in numerous experiments. Most experiments in which bubbles occur feature a declining fundamental value. This feature has been criticized for being atypical of real financial markets. Here, we experimentally study other ingredients for bubble formation that are common in such markets, namely the existence of inside information and communication among traders. We find that bubbles and mirages can occur if these additional ingredients are present. In particular, the mere possibility that some traders are better informed than others can create bubbles. Surprisingly, communication turns out to be counterproductive for bubble formation.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Bubbles in asset markets have been documented in numerous experiments. Most experiments in which bubbles occur feature a declining fundamental value. This feature has been criticized for being atypical of real financial markets. Here, we experimentally study other ingredients for bubble formation that are common in such markets, namely the existence of inside information and communication among traders. We find that bubbles and mirages can occur if these additional ingredients are present. In particular, the mere possibility that some traders are better informed than others can create bubbles. Surprisingly, communication turns out to be counterproductive for bubble formation.","Subject":"Social Sciences","Keywords":"Asset markets; Bubbles; Dividends; Experiment; Mirages"},{"pid":"doi:10.11588/data/10019","Title":"Imitation - Theory and Experimental Evidence [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Imitation - Theory and Experimental Evidence [Dataset]' Description:'We introduce a generalized theoretical approach to study imitation and subject it to rigorous experimental testing. In our theoretical analysis we find that the different predictions of previous imitation models are mainly explained by different informational assumptions, and to a lesser extent by different behavioral rules. In a laboratory experiment we test the different theories by systematically varying information conditions. We find significant effects of seemingly innocent changes in information. Moreover, the generalized imitation model predicts the differences between treatments well. The data provide support for imitation on the individual level, both in terms of choice and in terms of perception. Furthermore, individuals’ propensity to imitate more successful actions is increasing in payoff differences.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cournot markets; Evolutionary game theory; Experiments; Imitation; Information; Simulations; Stochastic stability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Imitation - Theory and Experimental Evidence [Dataset]' Description:'We introduce a generalized theoretical approach to study imitation and subject it to rigorous experimental testing. In our theoretical analysis we find that the different predictions of previous imitation models are mainly explained by different informational assumptions, and to a lesser extent by different behavioral rules. In a laboratory experiment we test the different theories by systematically varying information conditions. We find significant effects of seemingly innocent changes in information. Moreover, the generalized imitation model predicts the differences between treatments well. The data provide support for imitation on the individual level, both in terms of choice and in terms of perception. Furthermore, individuals’ propensity to imitate more successful actions is increasing in payoff differences.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We introduce a generalized theoretical approach to study imitation and subject it to rigorous experimental testing. In our theoretical analysis we find that the different predictions of previous imitation models are mainly explained by different informational assumptions, and to a lesser extent by different behavioral rules. In a laboratory experiment we test the different theories by systematically varying information conditions. We find significant effects of seemingly innocent changes in information. Moreover, the generalized imitation model predicts the differences between treatments well. The data provide support for imitation on the individual level, both in terms of choice and in terms of perception. Furthermore, individuals’ propensity to imitate more successful actions is increasing in payoff differences.","Subject":"Social Sciences","Keywords":"Cournot markets; Evolutionary game theory; Experiments; Imitation; Information; Simulations; Stochastic stability"},{"pid":"doi:10.11588/data/10020","Title":"Does Information about Competitors' Actions Increase or Decrease Competition in Experimental Oligopoly Markets? [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Does Information about Competitors' Actions Increase or Decrease Competition in Experimental Oligopoly Markets? [Dataset]' Description:'This paper investigates the impact the publication of firm-specific data has on the competitiveness of experimental oligopoly markets. We compare two treatments: in one, firms are informed about their rivals’ actions and profits. In the other, firms are only given aggregate information about their rivals’ actions (average quantities or prices). We find that more information leads to more competition. In the treatment where aggregate information is given, we confirm the theoretical result that Bertrand markets are more competitive than Cournot markets.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Collusion; Imitation; Information; Prices versus quantities+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Does Information about Competitors' Actions Increase or Decrease Competition in Experimental Oligopoly Markets? [Dataset]' Description:'This paper investigates the impact the publication of firm-specific data has on the competitiveness of experimental oligopoly markets. We compare two treatments: in one, firms are informed about their rivals’ actions and profits. In the other, firms are only given aggregate information about their rivals’ actions (average quantities or prices). We find that more information leads to more competition. In the treatment where aggregate information is given, we confirm the theoretical result that Bertrand markets are more competitive than Cournot markets.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This paper investigates the impact the publication of firm-specific data has on the competitiveness of experimental oligopoly markets. We compare two treatments: in one, firms are informed about their rivals’ actions and profits. In the other, firms are only given aggregate information about their rivals’ actions (average quantities or prices). We find that more information leads to more competition. In the treatment where aggregate information is given, we confirm the theoretical result that Bertrand markets are more competitive than Cournot markets.","Subject":"Social Sciences","Keywords":"Collusion; Imitation; Information; Prices versus quantities"},{"pid":"doi:10.11588/data/10021","Title":"Imitation and the Evolution of Walrasian Behavior: Theoretically Fragile but Behaviorally [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Imitation and the Evolution of Walrasian Behavior: Theoretically Fragile but Behaviorally [Dataset]' Description:'A well-known result by Vega-Redondo (1997) [18] implies that in symmetric Cournot oligopolies, imitation leads to the Walrasian outcome. We show that this result is not robust to the slightest asymmetry in costs, since every outcome where agents choose identical actions will be played some fraction of the time in the long run. We then conduct experiments to check this fragility. We obtain that, contrary to the theoretical prediction, the Walrasian outcome is a good predictor of market outcomes. Finally, we suggest a new theory based on a mix of imitation and other learning processes that explains subjects' behavior fairly well.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cournot markets; Evolutionary game theory; Experiments; Imitation; Information; Simulations; Stochastic stability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Imitation and the Evolution of Walrasian Behavior: Theoretically Fragile but Behaviorally [Dataset]' Description:'A well-known result by Vega-Redondo (1997) [18] implies that in symmetric Cournot oligopolies, imitation leads to the Walrasian outcome. We show that this result is not robust to the slightest asymmetry in costs, since every outcome where agents choose identical actions will be played some fraction of the time in the long run. We then conduct experiments to check this fragility. We obtain that, contrary to the theoretical prediction, the Walrasian outcome is a good predictor of market outcomes. Finally, we suggest a new theory based on a mix of imitation and other learning processes that explains subjects' behavior fairly well.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A well-known result by Vega-Redondo (1997) [18] implies that in symmetric Cournot oligopolies, imitation leads to the Walrasian outcome. We show that this result is not robust to the slightest asymmetry in costs, since every outcome where agents choose identical actions will be played some fraction of the time in the long run. We then conduct experiments to check this fragility. We obtain that, contrary to the theoretical prediction, the Walrasian outcome is a good predictor of market outcomes. Finally, we suggest a new theory based on a mix of imitation and other learning processes that explains subjects' behavior fairly well.","Subject":"Social Sciences","Keywords":"Cournot markets; Evolutionary game theory; Experiments; Imitation; Information; Simulations; Stochastic stability"},{"pid":"doi:10.11588/data/10022","Title":"Mandatory Sick Pay Provision: A Labor Market Experiment [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mandatory Sick Pay Provision: A Labor Market Experiment [Dataset]' Description:'The question whether a minimum rate of sick pay should be mandated is much debated. We study the effects of this kind of intervention with student subjects in an experimental laboratory setting rich enough to allow for moral hazard, adverse selection, and crowding out of good intentions. Both wages and replacement rates offered by competing employers are reciprocated by workers. However, replacement rates are only reciprocated as long as no minimum level is mandated. Although we observe adverse selection when workers have different exogenous probabilities for being absent from work, this does not lead to a market breakdown. In our experiment, mandating replacement rates actually leads to a higher voluntary provision of replacement rates by employers.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Experiment; Gift exchange; Sick leave; Sick pay+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mandatory Sick Pay Provision: A Labor Market Experiment [Dataset]' Description:'The question whether a minimum rate of sick pay should be mandated is much debated. We study the effects of this kind of intervention with student subjects in an experimental laboratory setting rich enough to allow for moral hazard, adverse selection, and crowding out of good intentions. Both wages and replacement rates offered by competing employers are reciprocated by workers. However, replacement rates are only reciprocated as long as no minimum level is mandated. Although we observe adverse selection when workers have different exogenous probabilities for being absent from work, this does not lead to a market breakdown. In our experiment, mandating replacement rates actually leads to a higher voluntary provision of replacement rates by employers.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The question whether a minimum rate of sick pay should be mandated is much debated. We study the effects of this kind of intervention with student subjects in an experimental laboratory setting rich enough to allow for moral hazard, adverse selection, and crowding out of good intentions. Both wages and replacement rates offered by competing employers are reciprocated by workers. However, replacement rates are only reciprocated as long as no minimum level is mandated. Although we observe adverse selection when workers have different exogenous probabilities for being absent from work, this does not lead to a market breakdown. In our experiment, mandating replacement rates actually leads to a higher voluntary provision of replacement rates by employers.","Subject":"Social Sciences","Keywords":"Experiment; Gift exchange; Sick leave; Sick pay"},{"pid":"doi:10.11588/data/10023","Title":"How do subjects view multiple sources of ambiguity? [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'How do subjects view multiple sources of ambiguity? [Dataset]' Description:'As illustrated by the famous Ellsberg paradox, many subjects prefer to bet on events with known rather than with unknown probabilities, i.e., they are ambiguity averse. In an experiment, we examine subjects’ choices when there is an additional source of ambiguity, namely, when they do not know how much money they can win. Using a standard assumption on the joint set of priors, we show that ambiguity-averse subjects should continue to strictly prefer the urn with known probabilities. In contrast, our results show that many subjects no longer exhibit such a strict preference.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambiguity aversion; Minmax-expected utility; Uncertainty+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'How do subjects view multiple sources of ambiguity? [Dataset]' Description:'As illustrated by the famous Ellsberg paradox, many subjects prefer to bet on events with known rather than with unknown probabilities, i.e., they are ambiguity averse. In an experiment, we examine subjects’ choices when there is an additional source of ambiguity, namely, when they do not know how much money they can win. Using a standard assumption on the joint set of priors, we show that ambiguity-averse subjects should continue to strictly prefer the urn with known probabilities. In contrast, our results show that many subjects no longer exhibit such a strict preference.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As illustrated by the famous Ellsberg paradox, many subjects prefer to bet on events with known rather than with unknown probabilities, i.e., they are ambiguity averse. In an experiment, we examine subjects’ choices when there is an additional source of ambiguity, namely, when they do not know how much money they can win. Using a standard assumption on the joint set of priors, we show that ambiguity-averse subjects should continue to strictly prefer the urn with known probabilities. In contrast, our results show that many subjects no longer exhibit such a strict preference.","Subject":"Social Sciences","Keywords":"Ambiguity aversion; Minmax-expected utility; Uncertainty"},{"pid":"doi:10.11588/data/10024","Title":"Rage Against the Machines: How Subjects Learn to Play Against Computers [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Rage Against the Machines: How Subjects Learn to Play Against Computers [Dataset]' Description:'We use a large-scale internet experiment to explore how subjects learn to play against computers that are programmed to follow one of a number of standard learning algorithms. The learning theoriesare (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial& error process. We explore how subjects’ performances depend on their opponents’ learning algorithm. Furthermore, we test whether subjects try to influence those algorithms to their advantage in a forward-looking way (strategic teaching). We find that strategic teaching occurs frequently and that all learning algorithms are subject to exploitation with the notable exception of imitation.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cournot duopoly; Experiments; Fictitious play; Imitation; Internet; Learning; Reinforcement; Strategic teaching; Trial & error+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Rage Against the Machines: How Subjects Learn to Play Against Computers [Dataset]' Description:'We use a large-scale internet experiment to explore how subjects learn to play against computers that are programmed to follow one of a number of standard learning algorithms. The learning theoriesare (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial& error process. We explore how subjects’ performances depend on their opponents’ learning algorithm. Furthermore, we test whether subjects try to influence those algorithms to their advantage in a forward-looking way (strategic teaching). We find that strategic teaching occurs frequently and that all learning algorithms are subject to exploitation with the notable exception of imitation.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We use a large-scale internet experiment to explore how subjects learn to play against computers that are programmed to follow one of a number of standard learning algorithms. The learning theoriesare (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial& error process. We explore how subjects’ performances depend on their opponents’ learning algorithm. Furthermore, we test whether subjects try to influence those algorithms to their advantage in a forward-looking way (strategic teaching). We find that strategic teaching occurs frequently and that all learning algorithms are subject to exploitation with the notable exception of imitation.","Subject":"Social Sciences","Keywords":"Cournot duopoly; Experiments; Fictitious play; Imitation; Internet; Learning; Reinforcement; Strategic teaching; Trial & error"},{"pid":"doi:10.11588/data/10030","Title":"Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence [Dataset]' Description:'The determinants of individual, voluntary climate action (VCA) in combating climate change and its potential scale are frequently debated in public but largely underresearched. We provide estimates of the willingness to individually reduce EU greenhouse gas emissions by one ton, using the European Union Emissions Trading Scheme. Estimates are derived from an online field experiment with a large, highly heterogenous, and Internet-representative sample of voting-aged Germans. Jointly estimating willingness to pay (WTP), non-indifference to VCA, and prior knowledge, we uncover important determinants of preferences for VCA, such as education, the information structure among the population, and exogenous environmental conditions.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Climate change; EU ETS; Field experiment; Online experiment; Public goods; Voluntary climate action; Voluntary contributions; Willingness to pay+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence [Dataset]' Description:'The determinants of individual, voluntary climate action (VCA) in combating climate change and its potential scale are frequently debated in public but largely underresearched. We provide estimates of the willingness to individually reduce EU greenhouse gas emissions by one ton, using the European Union Emissions Trading Scheme. Estimates are derived from an online field experiment with a large, highly heterogenous, and Internet-representative sample of voting-aged Germans. Jointly estimating willingness to pay (WTP), non-indifference to VCA, and prior knowledge, we uncover important determinants of preferences for VCA, such as education, the information structure among the population, and exogenous environmental conditions.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The determinants of individual, voluntary climate action (VCA) in combating climate change and its potential scale are frequently debated in public but largely underresearched. We provide estimates of the willingness to individually reduce EU greenhouse gas emissions by one ton, using the European Union Emissions Trading Scheme. Estimates are derived from an online field experiment with a large, highly heterogenous, and Internet-representative sample of voting-aged Germans. Jointly estimating willingness to pay (WTP), non-indifference to VCA, and prior knowledge, we uncover important determinants of preferences for VCA, such as education, the information structure among the population, and exogenous environmental conditions.","Subject":"Social Sciences","Keywords":"Climate change; EU ETS; Field experiment; Online experiment; Public goods; Voluntary climate action; Voluntary contributions; Willingness to pay"},{"pid":"doi:10.11588/data/10064","Title":"Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Census; Russian Empire; USSR+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:'Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.","Subject":" Social Sciences","Keywords":"Census; Russian Empire; USSR"},{"pid":"doi:10.11588/data/10032","Title":"Why do people keep their promises? An experimental test of two explanations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Why do people keep their promises? An experimental test of two explanations' Description:'Numerous psychological and economic experiments have shown that the exchange of promises greatly enhances cooperative behavior in experimental games. This paper seeks to test two theories to explain this effect. The first posits that individuals have a preference for keeping their word. The second assumes that people dislike letting down others' payoff expectations. According to the latter account, promises affect behavior only indirectly, because they lead to changes in the payoff expectations attributed to others. I conduct an experiment designed to distinguish between and test these alternative explanations. The results demonstrate that the effects of promises cannot be accounted for by changes in payoff expectations. This suggests that people have a preference for promise keeping per se.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {behavioral economics; beliefs; contracts; experimental economics; guilt aversion; obligations; Promises+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Why do people keep their promises? An experimental test of two explanations' Description:'Numerous psychological and economic experiments have shown that the exchange of promises greatly enhances cooperative behavior in experimental games. This paper seeks to test two theories to explain this effect. The first posits that individuals have a preference for keeping their word. The second assumes that people dislike letting down others' payoff expectations. According to the latter account, promises affect behavior only indirectly, because they lead to changes in the payoff expectations attributed to others. I conduct an experiment designed to distinguish between and test these alternative explanations. The results demonstrate that the effects of promises cannot be accounted for by changes in payoff expectations. This suggests that people have a preference for promise keeping per se.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Numerous psychological and economic experiments have shown that the exchange of promises greatly enhances cooperative behavior in experimental games. This paper seeks to test two theories to explain this effect. The first posits that individuals have a preference for keeping their word. The second assumes that people dislike letting down others' payoff expectations. According to the latter account, promises affect behavior only indirectly, because they lead to changes in the payoff expectations attributed to others. I conduct an experiment designed to distinguish between and test these alternative explanations. The results demonstrate that the effects of promises cannot be accounted for by changes in payoff expectations. This suggests that people have a preference for promise keeping per se.","Subject":"Social Sciences","Keywords":"behavioral economics; beliefs; contracts; experimental economics; guilt aversion; obligations; Promises"},{"pid":"doi:10.11588/data/10034","Title":"On the role of social wage comparisons in gift-exchange experiments [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'On the role of social wage comparisons in gift-exchange experiments [Dataset]' Description:'This study extends a bilateral gift-exchange experiment by Clark et al. (2010). We investigate how the provision of either quantitative or qualitative information on the average wage paid in all worker–employer relationships impacts the wage set by employers and worker performance. We find that information on the average wage reduces (increases) both wage offers and effort levels in one-shot (repeated) relationships.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Gift exchange; Reciprocity; Wage difference+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'On the role of social wage comparisons in gift-exchange experiments [Dataset]' Description:'This study extends a bilateral gift-exchange experiment by Clark et al. (2010). We investigate how the provision of either quantitative or qualitative information on the average wage paid in all worker–employer relationships impacts the wage set by employers and worker performance. We find that information on the average wage reduces (increases) both wage offers and effort levels in one-shot (repeated) relationships.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study extends a bilateral gift-exchange experiment by Clark et al. (2010). We investigate how the provision of either quantitative or qualitative information on the average wage paid in all worker–employer relationships impacts the wage set by employers and worker performance. We find that information on the average wage reduces (increases) both wage offers and effort levels in one-shot (repeated) relationships.","Subject":"Social Sciences","Keywords":"Gift exchange; Reciprocity; Wage difference"},{"pid":"doi:10.11588/data/10040","Title":"Prospect theory or construal level theory? Diminishing sensitivity vs. psychological distance in risky decisions [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Prospect theory or construal level theory? Diminishing sensitivity vs. psychological distance in risky decisions [Dataset]' Description:'Attitudes toward risks are central to organizational decisions. These attitudes are commonly modeled by prospect theory. Construal level theory has been proposed as an alternative theory of risky choice, accounting for psychological distance deriving from temporal, spatial and social aspects of risk that are typical of agency situations. Unnoticed in the literature, the two theories make contradicting predictions. The current study investigates which theory provides a better description of risky decisions in the presence of temporal, spatial, and social factors. We find that the psychophysical effects modeled by prospect theory dominate the psychological distance effects of construal level theory.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {agency; loss; psychological distance; risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Prospect theory or construal level theory? Diminishing sensitivity vs. psychological distance in risky decisions [Dataset]' Description:'Attitudes toward risks are central to organizational decisions. These attitudes are commonly modeled by prospect theory. Construal level theory has been proposed as an alternative theory of risky choice, accounting for psychological distance deriving from temporal, spatial and social aspects of risk that are typical of agency situations. Unnoticed in the literature, the two theories make contradicting predictions. The current study investigates which theory provides a better description of risky decisions in the presence of temporal, spatial, and social factors. We find that the psychophysical effects modeled by prospect theory dominate the psychological distance effects of construal level theory.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Attitudes toward risks are central to organizational decisions. These attitudes are commonly modeled by prospect theory. Construal level theory has been proposed as an alternative theory of risky choice, accounting for psychological distance deriving from temporal, spatial and social aspects of risk that are typical of agency situations. Unnoticed in the literature, the two theories make contradicting predictions. The current study investigates which theory provides a better description of risky decisions in the presence of temporal, spatial, and social factors. We find that the psychophysical effects modeled by prospect theory dominate the psychological distance effects of construal level theory.","Subject":"Social Sciences","Keywords":"agency; loss; psychological distance; risk"},{"pid":"doi:10.15139/S3/H3UJMQ","Title":"CBEHPP Filter Trial Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CBEHPP Filter Trial Data' Description:'Long-format household-level data and long-format child-level data for the Community-Based Environmental Health Promotion Programme Filter Trial Study in Rwanda' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {WASH; water quality; Rwanda; diarrhea; child health+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CBEHPP Filter Trial Data' Description:'Long-format household-level data and long-format child-level data for the Community-Based Environmental Health Promotion Programme Filter Trial Study in Rwanda' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Long-format household-level data and long-format child-level data for the Community-Based Environmental Health Promotion Programme Filter Trial Study in Rwanda","Subject":" Social Sciences","Keywords":"WASH; water quality; Rwanda; diarrhea; child health"},{"pid":"doi:10.11588/data/10049","Title":"Communication in Cournot competition: An experimental study [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Communication in Cournot competition: An experimental study [Dataset]' Description:'This study investigates the impact of communication on outcomes in Cournot duopoly and triopoly experiments. Communication is implemented by two different devices, a ‘standardized-communication’ and a ‘free-communication’ device. Using both students and managers as subjects, we find that managers behave in a similar way under both communication devices, while students collude slightly better under free than under standardized communication. Second, while under standardized communication managers select lower outputs than students, we observe no difference in subject pools under free communication. Finally, we observe more collusion in duopoly than in triopoly.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cheap talk; Communication; Cournot oligopoly; Economic experiment; Managers; Subject-pool effects+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Communication in Cournot competition: An experimental study [Dataset]' Description:'This study investigates the impact of communication on outcomes in Cournot duopoly and triopoly experiments. Communication is implemented by two different devices, a ‘standardized-communication’ and a ‘free-communication’ device. Using both students and managers as subjects, we find that managers behave in a similar way under both communication devices, while students collude slightly better under free than under standardized communication. Second, while under standardized communication managers select lower outputs than students, we observe no difference in subject pools under free communication. Finally, we observe more collusion in duopoly than in triopoly.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study investigates the impact of communication on outcomes in Cournot duopoly and triopoly experiments. Communication is implemented by two different devices, a ‘standardized-communication’ and a ‘free-communication’ device. Using both students and managers as subjects, we find that managers behave in a similar way under both communication devices, while students collude slightly better under free than under standardized communication. Second, while under standardized communication managers select lower outputs than students, we observe no difference in subject pools under free communication. Finally, we observe more collusion in duopoly than in triopoly.","Subject":"Social Sciences","Keywords":"Cheap talk; Communication; Cournot oligopoly; Economic experiment; Managers; Subject-pool effects"},{"pid":"doi:10.11588/data/10050","Title":"The gender wage gap in experimental labor markets [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The gender wage gap in experimental labor markets [Dataset]' Description:'We analyze the gender wage gap in experimental markets. Women receive but do not request significantly lower wages than men. This hurts firms, as women react with low effort. Additionally, women tend to react differently than men to wage levels.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {discrimination; experiment; gender; gift exchange+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The gender wage gap in experimental labor markets [Dataset]' Description:'We analyze the gender wage gap in experimental markets. Women receive but do not request significantly lower wages than men. This hurts firms, as women react with low effort. Additionally, women tend to react differently than men to wage levels.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We analyze the gender wage gap in experimental markets. Women receive but do not request significantly lower wages than men. This hurts firms, as women react with low effort. Additionally, women tend to react differently than men to wage levels.","Subject":"Social Sciences","Keywords":"discrimination; experiment; gender; gift exchange"},{"pid":"doi:10.11588/data/10051","Title":"Reciprocity in Labor Market Relationships: Evidence from an Experiment Across High-Income OECD Countries [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Reciprocity in Labor Market Relationships: Evidence from an Experiment Across High-Income OECD Countries [Dataset]' Description:'We study reciprocity in the labor market context. To this end, we conducted a bilateral gift exchange experiment comparing behavior of subjects from five high-income OECD countries, among them two liberal market economies (USA and Israel), two coordinated market economies (Germany and Japan) and a Mediterranean economy (Spain). We conjecture a higher wage dispersion, higher rejection rate and lower effort (per wage offer), and a higher income inequality in liberal than in coordinated market economies. We observe that all subject pools demonstrate increasingeffort levels and decreasing rejection rates in wage offers. We also find considerable differences between subject pools in both one-shot and repeated relationships. The most striking difference in behavior are not between subjects from liberal and coordinated market economies, but rather between the subjects of two European countries, Germany and Spain.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cross-country; economic experiment; gift exchange; reciprocity; varieties of capitalism+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Reciprocity in Labor Market Relationships: Evidence from an Experiment Across High-Income OECD Countries [Dataset]' Description:'We study reciprocity in the labor market context. To this end, we conducted a bilateral gift exchange experiment comparing behavior of subjects from five high-income OECD countries, among them two liberal market economies (USA and Israel), two coordinated market economies (Germany and Japan) and a Mediterranean economy (Spain). We conjecture a higher wage dispersion, higher rejection rate and lower effort (per wage offer), and a higher income inequality in liberal than in coordinated market economies. We observe that all subject pools demonstrate increasingeffort levels and decreasing rejection rates in wage offers. We also find considerable differences between subject pools in both one-shot and repeated relationships. The most striking difference in behavior are not between subjects from liberal and coordinated market economies, but rather between the subjects of two European countries, Germany and Spain.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study reciprocity in the labor market context. To this end, we conducted a bilateral gift exchange experiment comparing behavior of subjects from five high-income OECD countries, among them two liberal market economies (USA and Israel), two coordinated market economies (Germany and Japan) and a Mediterranean economy (Spain). We conjecture a higher wage dispersion, higher rejection rate and lower effort (per wage offer), and a higher income inequality in liberal than in coordinated market economies. We observe that all subject pools demonstrate increasingeffort levels and decreasing rejection rates in wage offers. We also find considerable differences between subject pools in both one-shot and repeated relationships. The most striking difference in behavior are not between subjects from liberal and coordinated market economies, but rather between the subjects of two European countries, Germany and Spain.","Subject":"Social Sciences","Keywords":"cross-country; economic experiment; gift exchange; reciprocity; varieties of capitalism"},{"pid":"doi:10.11588/data/10052","Title":"Women can´t jump?—An experiment on competitive attitudes and stereotype threat [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Women can´t jump?—An experiment on competitive attitudes and stereotype threat [Dataset]' Description:'Gneezy et al. (2003) offer a partial explanation for the wage gap between men and women. In an experiment they found that women react less to competitive incentives. The task they used in their experiment can however be considered a male task. We replicate the experiment and extend it by treatments with a gender-neutral task and a female task. For the male task we replicate their results, but for the neutral task women react as strongly to incentives than men and for the female task women react stronger than men. Our findings suggest a stereotype threat explanation. Women tend not to compete with men in areas where they (rightly or wrongly) think that they will lose anyway – and the same holds for men, although to a lower extent.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {competition; gender differences; stereotype threat+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Women can´t jump?—An experiment on competitive attitudes and stereotype threat [Dataset]' Description:'Gneezy et al. (2003) offer a partial explanation for the wage gap between men and women. In an experiment they found that women react less to competitive incentives. The task they used in their experiment can however be considered a male task. We replicate the experiment and extend it by treatments with a gender-neutral task and a female task. For the male task we replicate their results, but for the neutral task women react as strongly to incentives than men and for the female task women react stronger than men. Our findings suggest a stereotype threat explanation. Women tend not to compete with men in areas where they (rightly or wrongly) think that they will lose anyway – and the same holds for men, although to a lower extent.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Gneezy et al. (2003) offer a partial explanation for the wage gap between men and women. In an experiment they found that women react less to competitive incentives. The task they used in their experiment can however be considered a male task. We replicate the experiment and extend it by treatments with a gender-neutral task and a female task. For the male task we replicate their results, but for the neutral task women react as strongly to incentives than men and for the female task women react stronger than men. Our findings suggest a stereotype threat explanation. Women tend not to compete with men in areas where they (rightly or wrongly) think that they will lose anyway – and the same holds for men, although to a lower extent.","Subject":"Social Sciences","Keywords":"competition; gender differences; stereotype threat"},{"pid":"doi:10.11588/data/10055","Title":"Reserve Price and Competing Bids: Reference Points for Product Evaluations in Online Auctions? [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Reserve Price and Competing Bids: Reference Points for Product Evaluations in Online Auctions? [Dataset]' Description:'With an increasing number of products sold in online auctions, the effect of reference points on consumers’ product valuations has received much attention in the literature. Two potentially relevant factors affecting bidders’ preferences are the sellers’ reserve price and the competing bids by other bidders. The current evidence regarding these reference points is mixed. We argue that a focus on studying bids prevents a clear identification of reference point effects. Directly observing product valuations, in two experiments we find that willingness-to-pay in online auctions is affected by both reserve prices and competing bids, supporting the constructed values paradigm.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {bidder competition; online auctions; product valuation; reference points; reserve prices+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Reserve Price and Competing Bids: Reference Points for Product Evaluations in Online Auctions? [Dataset]' Description:'With an increasing number of products sold in online auctions, the effect of reference points on consumers’ product valuations has received much attention in the literature. Two potentially relevant factors affecting bidders’ preferences are the sellers’ reserve price and the competing bids by other bidders. The current evidence regarding these reference points is mixed. We argue that a focus on studying bids prevents a clear identification of reference point effects. Directly observing product valuations, in two experiments we find that willingness-to-pay in online auctions is affected by both reserve prices and competing bids, supporting the constructed values paradigm.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"With an increasing number of products sold in online auctions, the effect of reference points on consumers’ product valuations has received much attention in the literature. Two potentially relevant factors affecting bidders’ preferences are the sellers’ reserve price and the competing bids by other bidders. The current evidence regarding these reference points is mixed. We argue that a focus on studying bids prevents a clear identification of reference point effects. Directly observing product valuations, in two experiments we find that willingness-to-pay in online auctions is affected by both reserve prices and competing bids, supporting the constructed values paradigm.","Subject":"Social Sciences","Keywords":"bidder competition; online auctions; product valuation; reference points; reserve prices"},{"pid":"doi:10.11588/data/10059","Title":"A Test of Mechanical Ambiguity [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Test of Mechanical Ambiguity [Dataset]' Description:'We implement an experiment to elicit subjects’ ambiguity attitudes in the spirit of Ellsberg's three-color urn. The procedure includes three design elements that (together) have not been featured in similar experiments: Strict ambiguity preferences, a single decision, and a mechanical randomization device with an unknown distribution (to both subjects and experimenters). We use this device in order to eliminate possible ‘strategic’ ambiguity related to subjects’ beliefs about the experimenters’ motivations. In addition, we survey 40 experimental studies on Ellsberg's two- and three-color problems, and find that, on average, slightly more than half of subjects are classified as ambiguity averse. Our results, with our new design, fall on the low end of the range of results in the surveyed studies, and are comparable to a control test where “strategic” ambiguity was induced.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ambiguity aversion; Ellsberg; experiment; uncertainty+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Test of Mechanical Ambiguity [Dataset]' Description:'We implement an experiment to elicit subjects’ ambiguity attitudes in the spirit of Ellsberg's three-color urn. The procedure includes three design elements that (together) have not been featured in similar experiments: Strict ambiguity preferences, a single decision, and a mechanical randomization device with an unknown distribution (to both subjects and experimenters). We use this device in order to eliminate possible ‘strategic’ ambiguity related to subjects’ beliefs about the experimenters’ motivations. In addition, we survey 40 experimental studies on Ellsberg's two- and three-color problems, and find that, on average, slightly more than half of subjects are classified as ambiguity averse. Our results, with our new design, fall on the low end of the range of results in the surveyed studies, and are comparable to a control test where “strategic” ambiguity was induced.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We implement an experiment to elicit subjects’ ambiguity attitudes in the spirit of Ellsberg's three-color urn. The procedure includes three design elements that (together) have not been featured in similar experiments: Strict ambiguity preferences, a single decision, and a mechanical randomization device with an unknown distribution (to both subjects and experimenters). We use this device in order to eliminate possible ‘strategic’ ambiguity related to subjects’ beliefs about the experimenters’ motivations. In addition, we survey 40 experimental studies on Ellsberg's two- and three-color problems, and find that, on average, slightly more than half of subjects are classified as ambiguity averse. Our results, with our new design, fall on the low end of the range of results in the surveyed studies, and are comparable to a control test where “strategic” ambiguity was induced.","Subject":"Social Sciences","Keywords":"ambiguity aversion; Ellsberg; experiment; uncertainty"},{"pid":"doi:10.11588/data/10060","Title":"An Experimental Study of Precautionary Bidding [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'An Experimental Study of Precautionary Bidding [Dataset]' Description:'Auctions often involve goods exhibiting a common-knowledge ex-post risk. In such auctions, precautionary bidding predicts that under expected utility, DARA bidders reduce their bids by more than the appropriate risk premium. Because the degree of riskiness of an auctioned good and bidders’ levels of risk aversion are difficult to observe in field settings, we conduct experimental auctions that allow us to identify the precautionary premium directly. We find strong evidence for precautionary bidding. The effect is robust to changes in experimental design features. Our experiment provides the first empirical demonstration of precautionary motives in a strategic setting.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {auction; experiment; precautionary bidding; prudence+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'An Experimental Study of Precautionary Bidding [Dataset]' Description:'Auctions often involve goods exhibiting a common-knowledge ex-post risk. In such auctions, precautionary bidding predicts that under expected utility, DARA bidders reduce their bids by more than the appropriate risk premium. Because the degree of riskiness of an auctioned good and bidders’ levels of risk aversion are difficult to observe in field settings, we conduct experimental auctions that allow us to identify the precautionary premium directly. We find strong evidence for precautionary bidding. The effect is robust to changes in experimental design features. Our experiment provides the first empirical demonstration of precautionary motives in a strategic setting.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Auctions often involve goods exhibiting a common-knowledge ex-post risk. In such auctions, precautionary bidding predicts that under expected utility, DARA bidders reduce their bids by more than the appropriate risk premium. Because the degree of riskiness of an auctioned good and bidders’ levels of risk aversion are difficult to observe in field settings, we conduct experimental auctions that allow us to identify the precautionary premium directly. We find strong evidence for precautionary bidding. The effect is robust to changes in experimental design features. Our experiment provides the first empirical demonstration of precautionary motives in a strategic setting.","Subject":"Social Sciences","Keywords":"auction; experiment; precautionary bidding; prudence"},{"pid":"doi:10.11588/data/10064","Title":"Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Census; Russian Empire; USSR+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:'Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.","Subject":" Social Sciences","Keywords":"Census; Russian Empire; USSR"},{"pid":"doi:10.11588/data/10066","Title":"Risk taking by agents: The role of ex-ante and ex-post accountability [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Risk taking by agents: The role of ex-ante and ex-post accountability [Dataset]' Description:'We study the role of accountability in situations where an agent makes risky decisions for a principal. We observe that in the absence of accountability, agents choose less risk averse investments for the principal than investors who invest for their own account. Accountability mitigates the observed decrease in risk aversion. Differences are observed between situations where agents are accountable for their decision ('ex-ante') and where they are accountable for the outcome ('ex-post').' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {accountability; decisions of agents; Decision under risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Risk taking by agents: The role of ex-ante and ex-post accountability [Dataset]' Description:'We study the role of accountability in situations where an agent makes risky decisions for a principal. We observe that in the absence of accountability, agents choose less risk averse investments for the principal than investors who invest for their own account. Accountability mitigates the observed decrease in risk aversion. Differences are observed between situations where agents are accountable for their decision ('ex-ante') and where they are accountable for the outcome ('ex-post').' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study the role of accountability in situations where an agent makes risky decisions for a principal. We observe that in the absence of accountability, agents choose less risk averse investments for the principal than investors who invest for their own account. Accountability mitigates the observed decrease in risk aversion. Differences are observed between situations where agents are accountable for their decision ('ex-ante') and where they are accountable for the outcome ('ex-post').","Subject":"Social Sciences","Keywords":"accountability; decisions of agents; Decision under risk"},{"pid":"doi:10.11588/data/10067","Title":"Old Age and Prosocial Behavior: Social Preferences or Experimental Confounds? [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Old Age and Prosocial Behavior: Social Preferences or Experimental Confounds? [Dataset]' Description:'Experimental and field evidence indicate a positive link between social preferences and age, most strikingly between the elderly and young adults. However, it is possible that the seemingly positive link between age and preferences stems from confounds in experimental procedure. In a dictator game study we find that elderly participants do indeed transfer higher shares of their endowments to their peers than a standard sample of student participants. This result holds good even in treatments accounting for wealth differences and experimenter demand effects. However, we observe no difference in behavior when we compare elderly participants and students who have not previously participated in economic experiments. Accordingly, it is possible that the seemingly stronger social preferences of the elderly are due to confounds associated with lack of experience with economic experiments. In addition, when comparing incentivized and hypothetical transfer decisions, we observe a hypothetical bias in treatments with a 'take' framing, but not in treatments with the standard 'give' framing.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {age; dictator game; experimenter demand effect; hypothetical bias; participant pool; social preferences+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Old Age and Prosocial Behavior: Social Preferences or Experimental Confounds? [Dataset]' Description:'Experimental and field evidence indicate a positive link between social preferences and age, most strikingly between the elderly and young adults. However, it is possible that the seemingly positive link between age and preferences stems from confounds in experimental procedure. In a dictator game study we find that elderly participants do indeed transfer higher shares of their endowments to their peers than a standard sample of student participants. This result holds good even in treatments accounting for wealth differences and experimenter demand effects. However, we observe no difference in behavior when we compare elderly participants and students who have not previously participated in economic experiments. Accordingly, it is possible that the seemingly stronger social preferences of the elderly are due to confounds associated with lack of experience with economic experiments. In addition, when comparing incentivized and hypothetical transfer decisions, we observe a hypothetical bias in treatments with a 'take' framing, but not in treatments with the standard 'give' framing.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Experimental and field evidence indicate a positive link between social preferences and age, most strikingly between the elderly and young adults. However, it is possible that the seemingly positive link between age and preferences stems from confounds in experimental procedure. In a dictator game study we find that elderly participants do indeed transfer higher shares of their endowments to their peers than a standard sample of student participants. This result holds good even in treatments accounting for wealth differences and experimenter demand effects. However, we observe no difference in behavior when we compare elderly participants and students who have not previously participated in economic experiments. Accordingly, it is possible that the seemingly stronger social preferences of the elderly are due to confounds associated with lack of experience with economic experiments. In addition, when comparing incentivized and hypothetical transfer decisions, we observe a hypothetical bias in treatments with a 'take' framing, but not in treatments with the standard 'give' framing.","Subject":"Social Sciences","Keywords":"age; dictator game; experimenter demand effect; hypothetical bias; participant pool; social preferences"},{"pid":"doi:10.11588/data/10069","Title":"Group Size and the (In)Efficiency of Pure Public Good Provision [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Group Size and the (In)Efficiency of Pure Public Good Provision [Dataset]' Description:'Are larger groups better at cooperation than smaller groups? This paper investigates, under controlled conditions, the presence and direction of a possible group size effect in pure public good provision by large heterogeneous groups. Employing subjects drawn from the general population and introducing Internet-based procedures to study this question, we collected experimental evidence from 1,110 subjects playing a linear public goods game in groups of 10, 40, and 100 members. We find a positive and significant group size effect: Increasing group size by a factor of 10 (4) increased efficiency by 10 (6) percent. The effect arose at the intensive margin and with repetition. Those who contributed contributed more in larger groups. Larger and smaller groups had similar initial contribution levels, but cooperation rates declined more slowly in the larger groups. Free-riding was invariant to group size, despite subjects' persistent beliefs of a negative group size effect at the extensive margin. Further econometric examination of the data supports these findings and provides starting points for future theoretical and experimental research on the group size effect.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {belief elicitation; extra-laboratory experiment; free riding; large group; public good game+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Group Size and the (In)Efficiency of Pure Public Good Provision [Dataset]' Description:'Are larger groups better at cooperation than smaller groups? This paper investigates, under controlled conditions, the presence and direction of a possible group size effect in pure public good provision by large heterogeneous groups. Employing subjects drawn from the general population and introducing Internet-based procedures to study this question, we collected experimental evidence from 1,110 subjects playing a linear public goods game in groups of 10, 40, and 100 members. We find a positive and significant group size effect: Increasing group size by a factor of 10 (4) increased efficiency by 10 (6) percent. The effect arose at the intensive margin and with repetition. Those who contributed contributed more in larger groups. Larger and smaller groups had similar initial contribution levels, but cooperation rates declined more slowly in the larger groups. Free-riding was invariant to group size, despite subjects' persistent beliefs of a negative group size effect at the extensive margin. Further econometric examination of the data supports these findings and provides starting points for future theoretical and experimental research on the group size effect.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Are larger groups better at cooperation than smaller groups? This paper investigates, under controlled conditions, the presence and direction of a possible group size effect in pure public good provision by large heterogeneous groups. Employing subjects drawn from the general population and introducing Internet-based procedures to study this question, we collected experimental evidence from 1,110 subjects playing a linear public goods game in groups of 10, 40, and 100 members. We find a positive and significant group size effect: Increasing group size by a factor of 10 (4) increased efficiency by 10 (6) percent. The effect arose at the intensive margin and with repetition. Those who contributed contributed more in larger groups. Larger and smaller groups had similar initial contribution levels, but cooperation rates declined more slowly in the larger groups. Free-riding was invariant to group size, despite subjects' persistent beliefs of a negative group size effect at the extensive margin. Further econometric examination of the data supports these findings and provides starting points for future theoretical and experimental research on the group size effect.","Subject":"Social Sciences","Keywords":"belief elicitation; extra-laboratory experiment; free riding; large group; public good game"},{"pid":"doi:10.11588/data/10070","Title":"Disaggregated Conflict Dataset (DISCON) 1.0","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Disaggregated Conflict Dataset (DISCON) 1.0' Description:'The Disaggregated Conflict Dataset (DISCON) has been jointly released by Dr. Christoph Trinn, Institute for Political Science, Heidelberg, and the Heidelberg Institute for International Conflict Research (HIIK). DISCON is based on a broad-based, integrative concept of conflict. Drawing on news sources and academic analyses, DISCON currently comprises data on 156 violent and non-violent conflicts between states, between governments and rebel groups, and among non-state actors and in Asia and Oceania from 2000 to 2014. It is to be continually supplemented and updated. Whereas existing conflict datasets mainly restrict themselves to the number of fatalities as a measure of conflict intensity, the Heidelberg approach considers other consequences of political violence, as well. These include the number of displaced persons and the extent of destruction. In addition, the means of violence - weapons or personnel deployment - are recorded. Every violent conflict is broken down into months and first-level subnational regions such as provinces and states, and its intensity is assessed on the basis of the five indicators. In all, DISCON contains over 6300 region-month intensities with about 31,600 individual assessments.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {armed conflicts; Asia; civil war; conflict concept; conflict intensity; non-violent conflicts; Oceania+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Disaggregated Conflict Dataset (DISCON) 1.0' Description:'The Disaggregated Conflict Dataset (DISCON) has been jointly released by Dr. Christoph Trinn, Institute for Political Science, Heidelberg, and the Heidelberg Institute for International Conflict Research (HIIK). DISCON is based on a broad-based, integrative concept of conflict. Drawing on news sources and academic analyses, DISCON currently comprises data on 156 violent and non-violent conflicts between states, between governments and rebel groups, and among non-state actors and in Asia and Oceania from 2000 to 2014. It is to be continually supplemented and updated. Whereas existing conflict datasets mainly restrict themselves to the number of fatalities as a measure of conflict intensity, the Heidelberg approach considers other consequences of political violence, as well. These include the number of displaced persons and the extent of destruction. In addition, the means of violence - weapons or personnel deployment - are recorded. Every violent conflict is broken down into months and first-level subnational regions such as provinces and states, and its intensity is assessed on the basis of the five indicators. In all, DISCON contains over 6300 region-month intensities with about 31,600 individual assessments.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Disaggregated Conflict Dataset (DISCON) has been jointly released by Dr. Christoph Trinn, Institute for Political Science, Heidelberg, and the Heidelberg Institute for International Conflict Research (HIIK). DISCON is based on a broad-based, integrative concept of conflict. Drawing on news sources and academic analyses, DISCON currently comprises data on 156 violent and non-violent conflicts between states, between governments and rebel groups, and among non-state actors and in Asia and Oceania from 2000 to 2014. It is to be continually supplemented and updated. Whereas existing conflict datasets mainly restrict themselves to the number of fatalities as a measure of conflict intensity, the Heidelberg approach considers other consequences of political violence, as well. These include the number of displaced persons and the extent of destruction. In addition, the means of violence - weapons or personnel deployment - are recorded. Every violent conflict is broken down into months and first-level subnational regions such as provinces and states, and its intensity is assessed on the basis of the five indicators. In all, DISCON contains over 6300 region-month intensities with about 31,600 individual assessments.","Subject":"Social Sciences","Keywords":"armed conflicts; Asia; civil war; conflict concept; conflict intensity; non-violent conflicts; Oceania"},{"pid":"doi:10.11588/data/10074","Title":"Understanding Bank-Run Contagion [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Understanding Bank-Run Contagion [Dataset]' Description:'We study experimental coordination games to examine through which transmission channels, and under which information conditions, a panic-based depositor-run at one bank may trigger a panic-based depositor-run at another bank. We find that withdrawals at one bank trigger withdrawals at another bank by increasing players’ beliefs that other depositors in their own bank will withdraw, making them more likely to withdraw as well. Observed withdrawals only affect depositors’ beliefs, and are thus contagious, when they form an informative signal about bank fundamentals.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bank runs; Contagion; Systemic risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Understanding Bank-Run Contagion [Dataset]' Description:'We study experimental coordination games to examine through which transmission channels, and under which information conditions, a panic-based depositor-run at one bank may trigger a panic-based depositor-run at another bank. We find that withdrawals at one bank trigger withdrawals at another bank by increasing players’ beliefs that other depositors in their own bank will withdraw, making them more likely to withdraw as well. Observed withdrawals only affect depositors’ beliefs, and are thus contagious, when they form an informative signal about bank fundamentals.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study experimental coordination games to examine through which transmission channels, and under which information conditions, a panic-based depositor-run at one bank may trigger a panic-based depositor-run at another bank. We find that withdrawals at one bank trigger withdrawals at another bank by increasing players’ beliefs that other depositors in their own bank will withdraw, making them more likely to withdraw as well. Observed withdrawals only affect depositors’ beliefs, and are thus contagious, when they form an informative signal about bank fundamentals.","Subject":"Social Sciences","Keywords":"Bank runs; Contagion; Systemic risk"},{"pid":"doi:10.11588/data/10075","Title":"From imitation to collusion: a replication [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'From imitation to collusion: a replication [Dataset]' Description:'In oligopoly, imitating the most successful competitor yields very competitive outcomes. This theoretical prediction has been confirmed experimentally by a number of studies. A recent paper by Friedman et al. (J Econ Theory 155:185–205, 2015) qualifies those results in an interesting way: While they replicate the very competitive results for the first 25–50 periods, they show that when using a much longer time horizon of 1200 periods, results slowly turn to more and more collusive outcomes. We replicate their result for duopolies. However, with 4 firms, none of our oligopolies becomes permanently collusive. Instead, the average quantity always stays above the Cournot–Nash equilibrium quantity. Thus, it seems that ‘‘four remain many’’ even with 1200 periods.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cournot oligopoly; Experiment; Imitation; Walrasian outcome+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'From imitation to collusion: a replication [Dataset]' Description:'In oligopoly, imitating the most successful competitor yields very competitive outcomes. This theoretical prediction has been confirmed experimentally by a number of studies. A recent paper by Friedman et al. (J Econ Theory 155:185–205, 2015) qualifies those results in an interesting way: While they replicate the very competitive results for the first 25–50 periods, they show that when using a much longer time horizon of 1200 periods, results slowly turn to more and more collusive outcomes. We replicate their result for duopolies. However, with 4 firms, none of our oligopolies becomes permanently collusive. Instead, the average quantity always stays above the Cournot–Nash equilibrium quantity. Thus, it seems that ‘‘four remain many’’ even with 1200 periods.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In oligopoly, imitating the most successful competitor yields very competitive outcomes. This theoretical prediction has been confirmed experimentally by a number of studies. A recent paper by Friedman et al. (J Econ Theory 155:185–205, 2015) qualifies those results in an interesting way: While they replicate the very competitive results for the first 25–50 periods, they show that when using a much longer time horizon of 1200 periods, results slowly turn to more and more collusive outcomes. We replicate their result for duopolies. However, with 4 firms, none of our oligopolies becomes permanently collusive. Instead, the average quantity always stays above the Cournot–Nash equilibrium quantity. Thus, it seems that ‘‘four remain many’’ even with 1200 periods.","Subject":"Social Sciences","Keywords":"Cournot oligopoly; Experiment; Imitation; Walrasian outcome"},{"pid":"doi:10.11588/data/10082","Title":"The role of personal interaction in the assessment of risk attitudes [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The role of personal interaction in the assessment of risk attitudes [Dataset]' Description:'Many decisions under uncertainty are delegated to professionals, such as financial advisors or medical doctors, requiring them to assess the risk attitudes of their clients or patients. To gain a better under- standing of the potential factors influencing risk attitude assessments, the current study investigates the role of personal interaction in these assessments. Controlling for information transmitted, we find that personal interaction leads to more risk-averse assessments, but does neither harm nor benefit assess- ments in terms of precision. We replicate previous findings of stereotypes in risk preference predictions, and discuss the influence of the assessor’s own risk attitude on her assessments.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {advice; risk attitude+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The role of personal interaction in the assessment of risk attitudes [Dataset]' Description:'Many decisions under uncertainty are delegated to professionals, such as financial advisors or medical doctors, requiring them to assess the risk attitudes of their clients or patients. To gain a better under- standing of the potential factors influencing risk attitude assessments, the current study investigates the role of personal interaction in these assessments. Controlling for information transmitted, we find that personal interaction leads to more risk-averse assessments, but does neither harm nor benefit assess- ments in terms of precision. We replicate previous findings of stereotypes in risk preference predictions, and discuss the influence of the assessor’s own risk attitude on her assessments.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Many decisions under uncertainty are delegated to professionals, such as financial advisors or medical doctors, requiring them to assess the risk attitudes of their clients or patients. To gain a better under- standing of the potential factors influencing risk attitude assessments, the current study investigates the role of personal interaction in these assessments. Controlling for information transmitted, we find that personal interaction leads to more risk-averse assessments, but does neither harm nor benefit assess- ments in terms of precision. We replicate previous findings of stereotypes in risk preference predictions, and discuss the influence of the assessor’s own risk attitude on her assessments.","Subject":"Social Sciences","Keywords":"advice; risk attitude"},{"pid":"doi:10.11588/data/10084","Title":"Ambiguity Attitudes in Decisions for Others [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ambiguity Attitudes in Decisions for Others [Dataset]' Description:'We probe the pattern of ambiguity aversion for moderate-likelihood gain prospects, and ambiguity seeking for low-likelihood gain prospects, if people make decisions not for themselves but as agents for others. We confirm the pattern both with and without accountability.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accountability; Decisions of agents; Decision under ambiguity; Decision under risk+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ambiguity Attitudes in Decisions for Others [Dataset]' Description:'We probe the pattern of ambiguity aversion for moderate-likelihood gain prospects, and ambiguity seeking for low-likelihood gain prospects, if people make decisions not for themselves but as agents for others. We confirm the pattern both with and without accountability.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We probe the pattern of ambiguity aversion for moderate-likelihood gain prospects, and ambiguity seeking for low-likelihood gain prospects, if people make decisions not for themselves but as agents for others. We confirm the pattern both with and without accountability.","Subject":"Social Sciences","Keywords":"Accountability; Decisions of agents; Decision under ambiguity; Decision under risk"},{"pid":"doi:10.11588/data/10087","Title":"Who never tells a lie? [Data set and Programs]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Who never tells a lie? [Data set and Programs]' Description:'I experimentally investigate the hypothesis that many people avoid lying even in a situation where doing so would result in a Pareto improvement. Replicating (Erat and Gneezy, Management Science 58, 723-733, 2012), I find that a significant fraction of subjects tell the truth in a sender-receiver game where both subjects earn a higher payoff when the partner makes an incorrect guess regarding the roll of a die. However, a non-incentivized questionnaire indicates that the vast majority of these subjects expected their partner not to follow their message. I conduct two new experiments explicitly designed to test for a 'pure' aversion to lying, and find no evidence for the existence of such a motivation. I discuss the implications of the findings for moral behavior and rule following more generally.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Deception; Ethics; Experiments; Lying; Morality+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Who never tells a lie? [Data set and Programs]' Description:'I experimentally investigate the hypothesis that many people avoid lying even in a situation where doing so would result in a Pareto improvement. Replicating (Erat and Gneezy, Management Science 58, 723-733, 2012), I find that a significant fraction of subjects tell the truth in a sender-receiver game where both subjects earn a higher payoff when the partner makes an incorrect guess regarding the roll of a die. However, a non-incentivized questionnaire indicates that the vast majority of these subjects expected their partner not to follow their message. I conduct two new experiments explicitly designed to test for a 'pure' aversion to lying, and find no evidence for the existence of such a motivation. I discuss the implications of the findings for moral behavior and rule following more generally.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"I experimentally investigate the hypothesis that many people avoid lying even in a situation where doing so would result in a Pareto improvement. Replicating (Erat and Gneezy, Management Science 58, 723-733, 2012), I find that a significant fraction of subjects tell the truth in a sender-receiver game where both subjects earn a higher payoff when the partner makes an incorrect guess regarding the roll of a die. However, a non-incentivized questionnaire indicates that the vast majority of these subjects expected their partner not to follow their message. I conduct two new experiments explicitly designed to test for a 'pure' aversion to lying, and find no evidence for the existence of such a motivation. I discuss the implications of the findings for moral behavior and rule following more generally.","Subject":"Social Sciences","Keywords":"Deception; Ethics; Experiments; Lying; Morality"},{"pid":"doi:10.11588/data/10094","Title":"Payment Procedure in a Public Good Game Experiment: The Effects of Endowment Timing, Tangibility, and Source [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Payment Procedure in a Public Good Game Experiment: The Effects of Endowment Timing, Tangibility, and Source [Dataset]' Description:'We study whether and how payment procedure affects behavior in a repeated public good game. To this end, we conducted five treatments, varying the times of paying the initial endowment (week before, before, or after the decisions) and the source of the initial endowment (windfall vs. earned money in a real-effort task). We find little evidence for effects of tangible endowment, windfall endowment, or prepaid endowment. However, we observe that payment procedures do influence decisions in a repeated public good game experiment.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {endowment; house money; payment timing; prepaid mechanism; public good game+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Payment Procedure in a Public Good Game Experiment: The Effects of Endowment Timing, Tangibility, and Source [Dataset]' Description:'We study whether and how payment procedure affects behavior in a repeated public good game. To this end, we conducted five treatments, varying the times of paying the initial endowment (week before, before, or after the decisions) and the source of the initial endowment (windfall vs. earned money in a real-effort task). We find little evidence for effects of tangible endowment, windfall endowment, or prepaid endowment. However, we observe that payment procedures do influence decisions in a repeated public good game experiment.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study whether and how payment procedure affects behavior in a repeated public good game. To this end, we conducted five treatments, varying the times of paying the initial endowment (week before, before, or after the decisions) and the source of the initial endowment (windfall vs. earned money in a real-effort task). We find little evidence for effects of tangible endowment, windfall endowment, or prepaid endowment. However, we observe that payment procedures do influence decisions in a repeated public good game experiment.","Subject":"Social Sciences","Keywords":"endowment; house money; payment timing; prepaid mechanism; public good game"},{"pid":"doi:10.11588/data/10096","Title":"Catastrophic Risk: Social Influences on Insurance Decisions [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Catastrophic Risk: Social Influences on Insurance Decisions [Dataset]' Description:'We study behavioral patterns of insurance demand for low-probability large-loss events (catastrophic losses). Individual patterns of belief formation and risk attitude that were suggested in the behavioral decisions literature emerge robustly in the current set of insurance choices. However, social comparison effects are less robust. We do not find any evidence for peer effects (through social loss aversion or imitation) on insurance take-up. In contrast, we find support for the prediction that people underweight others’ relevant information in their own decision making.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {catastrophic risk; insurance; risk attitude+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Catastrophic Risk: Social Influences on Insurance Decisions [Dataset]' Description:'We study behavioral patterns of insurance demand for low-probability large-loss events (catastrophic losses). Individual patterns of belief formation and risk attitude that were suggested in the behavioral decisions literature emerge robustly in the current set of insurance choices. However, social comparison effects are less robust. We do not find any evidence for peer effects (through social loss aversion or imitation) on insurance take-up. In contrast, we find support for the prediction that people underweight others’ relevant information in their own decision making.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study behavioral patterns of insurance demand for low-probability large-loss events (catastrophic losses). Individual patterns of belief formation and risk attitude that were suggested in the behavioral decisions literature emerge robustly in the current set of insurance choices. However, social comparison effects are less robust. We do not find any evidence for peer effects (through social loss aversion or imitation) on insurance take-up. In contrast, we find support for the prediction that people underweight others’ relevant information in their own decision making.","Subject":"Social Sciences","Keywords":"catastrophic risk; insurance; risk attitude"},{"pid":"doi:10.11588/data/10097","Title":"Process fairness, outcome fairness, and dynamic consistency: experimental evidence for risk and ambiguity [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Process fairness, outcome fairness, and dynamic consistency: experimental evidence for risk and ambiguity [Dataset]' Description:'Literature on fairness preferences distinguishes between outcome fairness, concerning the final allocation of payoffs, and process fairness, concerning the expected allocation of payoffs. It is not obvious, however, whether process fairness can consistently be implemented. Once uncertainty is resolved and outcomes are determined, the ex-ante procedurally fair decision maker may become consequentialist ex-post, and reconsider her choice on the basis of the observed outcomes. We present experimental evidence on dynamic consistency of social preferences under both known risk and ambiguity. A significant share of people subscribe to process fairness both before and after the resolution of uncertainty.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {dynamic decision making; outcome fairness; process fairness+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Process fairness, outcome fairness, and dynamic consistency: experimental evidence for risk and ambiguity [Dataset]' Description:'Literature on fairness preferences distinguishes between outcome fairness, concerning the final allocation of payoffs, and process fairness, concerning the expected allocation of payoffs. It is not obvious, however, whether process fairness can consistently be implemented. Once uncertainty is resolved and outcomes are determined, the ex-ante procedurally fair decision maker may become consequentialist ex-post, and reconsider her choice on the basis of the observed outcomes. We present experimental evidence on dynamic consistency of social preferences under both known risk and ambiguity. A significant share of people subscribe to process fairness both before and after the resolution of uncertainty.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Literature on fairness preferences distinguishes between outcome fairness, concerning the final allocation of payoffs, and process fairness, concerning the expected allocation of payoffs. It is not obvious, however, whether process fairness can consistently be implemented. Once uncertainty is resolved and outcomes are determined, the ex-ante procedurally fair decision maker may become consequentialist ex-post, and reconsider her choice on the basis of the observed outcomes. We present experimental evidence on dynamic consistency of social preferences under both known risk and ambiguity. A significant share of people subscribe to process fairness both before and after the resolution of uncertainty.","Subject":"Social Sciences","Keywords":"dynamic decision making; outcome fairness; process fairness"},{"pid":"doi:10.11588/data/10099","Title":"Promoting water consumption using behavioral economics insights [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Promoting water consumption using behavioral economics insights [Dataset]' Description:'Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar environments into supportive environments for the infants to make healthier food choices. The influence of the environment (the so-called “choice architecture”) on people’s perceptions and decisions is studied by economists with the aim of supporting individuals’ to make healthier decisions, using tools known as “nudges”. However, 'nudges' are not commonly integrated into anti-obesity strategies. We designed an intervention trying to find out whether such a small, liberty-preserving intervention could increase the effectiveness of a water-promotion campaign, when compared to the common approach of an educative talk. The intervention was developed in three schools in Mexico City and the State of Mexico. The body mass index, standardized by Z-scores, was used as the indicator of campaign success. Although – mainly due to problems within the sample and a yet too-short follow-up – our results do not show considerable differences between the approaches, they provide insights suggesting that including “nudges” into a health promoting campaign may indeed have a positive impact.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {behavioral economics; children; nudge; obesity; public health+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Promoting water consumption using behavioral economics insights [Dataset]' Description:'Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar environments into supportive environments for the infants to make healthier food choices. The influence of the environment (the so-called “choice architecture”) on people’s perceptions and decisions is studied by economists with the aim of supporting individuals’ to make healthier decisions, using tools known as “nudges”. However, 'nudges' are not commonly integrated into anti-obesity strategies. We designed an intervention trying to find out whether such a small, liberty-preserving intervention could increase the effectiveness of a water-promotion campaign, when compared to the common approach of an educative talk. The intervention was developed in three schools in Mexico City and the State of Mexico. The body mass index, standardized by Z-scores, was used as the indicator of campaign success. Although – mainly due to problems within the sample and a yet too-short follow-up – our results do not show considerable differences between the approaches, they provide insights suggesting that including “nudges” into a health promoting campaign may indeed have a positive impact.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar environments into supportive environments for the infants to make healthier food choices. The influence of the environment (the so-called “choice architecture”) on people’s perceptions and decisions is studied by economists with the aim of supporting individuals’ to make healthier decisions, using tools known as “nudges”. However, 'nudges' are not commonly integrated into anti-obesity strategies. We designed an intervention trying to find out whether such a small, liberty-preserving intervention could increase the effectiveness of a water-promotion campaign, when compared to the common approach of an educative talk. The intervention was developed in three schools in Mexico City and the State of Mexico. The body mass index, standardized by Z-scores, was used as the indicator of campaign success. Although – mainly due to problems within the sample and a yet too-short follow-up – our results do not show considerable differences between the approaches, they provide insights suggesting that including “nudges” into a health promoting campaign may indeed have a positive impact.","Subject":" Social Sciences","Keywords":"behavioral economics; children; nudge; obesity; public health"},{"pid":"doi:10.11588/data/1XDKHZ","Title":"Hedging, ambiguity, and the reversal of order axiom [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hedging, ambiguity, and the reversal of order axiom [Dataset]' Description:'We ran experiments that gave subjects a straight-forward and simple opportunity tohedge away ambiguity in an Ellsberg-style experiment. Subjects had to make bets on the combined outcomes of a fair coin and a draw from an ambiguous urn. By modifying the timing of the draw, coin flip, and decision, we are able to test the reversal-of-order axiom. Our main result is that the reversal-of-order axiom seems to hold. We also confirm low levels of ambiguity hedging despite the relative obviousness of the opportunity.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ellsberg paradox; Experiment; Hedging; Reversal of order axiom+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hedging, ambiguity, and the reversal of order axiom [Dataset]' Description:'We ran experiments that gave subjects a straight-forward and simple opportunity tohedge away ambiguity in an Ellsberg-style experiment. Subjects had to make bets on the combined outcomes of a fair coin and a draw from an ambiguous urn. By modifying the timing of the draw, coin flip, and decision, we are able to test the reversal-of-order axiom. Our main result is that the reversal-of-order axiom seems to hold. We also confirm low levels of ambiguity hedging despite the relative obviousness of the opportunity.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We ran experiments that gave subjects a straight-forward and simple opportunity tohedge away ambiguity in an Ellsberg-style experiment. Subjects had to make bets on the combined outcomes of a fair coin and a draw from an ambiguous urn. By modifying the timing of the draw, coin flip, and decision, we are able to test the reversal-of-order axiom. Our main result is that the reversal-of-order axiom seems to hold. We also confirm low levels of ambiguity hedging despite the relative obviousness of the opportunity.","Subject":"Social Sciences","Keywords":"Ellsberg paradox; Experiment; Hedging; Reversal of order axiom"},{"pid":"doi:10.11588/data/3KTIBI","Title":"Post-communist countries and their participation in international forums on energy [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Post-communist countries and their participation in international forums on energy [Dataset]' Description:'This dataset acompanies the paper 'Post-communist countries and their participation in international forums on energy'. This explorative analysis investigates in which international forums on energy Post-Communist countries participate and what motivates their participation. Theoretically, the article draws from theories of policy diffusion to explain why the Post-Communist countries have joined the 11 international forums on climate governance selected. It contends that the wish to follow the example of high-status countries or organizations, considerations concerning economic competitiveness, and the wish to obtain access to knowledge are potential factors explaining membership. Empirically, the article uses explorative methods to probe the plausibility of the three hypotheses. The database comprises information on the participation of 28 Post-Communist countries in 11 pertinent international forums, which are all characterized by a low degree of formalization and voluntary cooperation. Our findings show that neither the European Union nor Russia as a high-status organization or country had a robust impact on the Post-Communist countries’ decision to join the international forums on energy of interest. Instead, our indicative and preliminary findings suggest that access to knowledge was the most relevant driver of participation.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {carbon emissions; energy; European Union; international forums; Post-Communist countries; renewable energy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Post-communist countries and their participation in international forums on energy [Dataset]' Description:'This dataset acompanies the paper 'Post-communist countries and their participation in international forums on energy'. This explorative analysis investigates in which international forums on energy Post-Communist countries participate and what motivates their participation. Theoretically, the article draws from theories of policy diffusion to explain why the Post-Communist countries have joined the 11 international forums on climate governance selected. It contends that the wish to follow the example of high-status countries or organizations, considerations concerning economic competitiveness, and the wish to obtain access to knowledge are potential factors explaining membership. Empirically, the article uses explorative methods to probe the plausibility of the three hypotheses. The database comprises information on the participation of 28 Post-Communist countries in 11 pertinent international forums, which are all characterized by a low degree of formalization and voluntary cooperation. Our findings show that neither the European Union nor Russia as a high-status organization or country had a robust impact on the Post-Communist countries’ decision to join the international forums on energy of interest. Instead, our indicative and preliminary findings suggest that access to knowledge was the most relevant driver of participation.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset acompanies the paper 'Post-communist countries and their participation in international forums on energy'. This explorative analysis investigates in which international forums on energy Post-Communist countries participate and what motivates their participation. Theoretically, the article draws from theories of policy diffusion to explain why the Post-Communist countries have joined the 11 international forums on climate governance selected. It contends that the wish to follow the example of high-status countries or organizations, considerations concerning economic competitiveness, and the wish to obtain access to knowledge are potential factors explaining membership. Empirically, the article uses explorative methods to probe the plausibility of the three hypotheses. The database comprises information on the participation of 28 Post-Communist countries in 11 pertinent international forums, which are all characterized by a low degree of formalization and voluntary cooperation. Our findings show that neither the European Union nor Russia as a high-status organization or country had a robust impact on the Post-Communist countries’ decision to join the international forums on energy of interest. Instead, our indicative and preliminary findings suggest that access to knowledge was the most relevant driver of participation.","Subject":"Social Sciences","Keywords":"carbon emissions; energy; European Union; international forums; Post-Communist countries; renewable energy"},{"pid":"doi:10.11588/data/HLGUFF","Title":"Countercyclical Risk Aversion: Beyond Financial Professionals [Online Appendix and Replication Package]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Countercyclical Risk Aversion: Beyond Financial Professionals [Online Appendix and Replication Package]' Description:'We test if Cohn et al.’s (2015) experimental results on countercyclical risk aversion exhibited by financial professionals generalize to a standard student sample. In our sample, we do not find an effect of stock market bust or boom on subjects’ investments. We do not find a systematic emotional reaction, nor do we find an effect of variation in the emotional state (especially fear) on investment. Our results add to the literature documenting behavioral differences between financial professionals and non-professionals and, taking a policy perspective, underline the need for careful external validity checks of single sample experiments.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {business cycle; priming; risk aversion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Countercyclical Risk Aversion: Beyond Financial Professionals [Online Appendix and Replication Package]' Description:'We test if Cohn et al.’s (2015) experimental results on countercyclical risk aversion exhibited by financial professionals generalize to a standard student sample. In our sample, we do not find an effect of stock market bust or boom on subjects’ investments. We do not find a systematic emotional reaction, nor do we find an effect of variation in the emotional state (especially fear) on investment. Our results add to the literature documenting behavioral differences between financial professionals and non-professionals and, taking a policy perspective, underline the need for careful external validity checks of single sample experiments.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We test if Cohn et al.’s (2015) experimental results on countercyclical risk aversion exhibited by financial professionals generalize to a standard student sample. In our sample, we do not find an effect of stock market bust or boom on subjects’ investments. We do not find a systematic emotional reaction, nor do we find an effect of variation in the emotional state (especially fear) on investment. Our results add to the literature documenting behavioral differences between financial professionals and non-professionals and, taking a policy perspective, underline the need for careful external validity checks of single sample experiments.","Subject":"Social Sciences","Keywords":"business cycle; priming; risk aversion"},{"pid":"doi:10.11588/data/4X2FXC","Title":"Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]' Description:'Research focusing on the association between age and emotion perception has revealed inconsistent findings, with some support for an age-related positivity effect, as predicted by socioemotional selectivity theory. We used the mood-of-the-crowd (MoC) task to investigate whether older adults judge a crowd consisting of happy and angry expressions to be dominated by happy faces more frequently. The task was to decide whether an array of faces included more angry or more happy faces. Accuracy, reaction times, and gaze movements were analyzed to test the hypothesis, derived from socioemotional selectivity theory, that age would be associated with a bias toward judging crowds as happy, and with longer and more numerous fixations on happy expressions. Seventy-six participants took part in the study representing three different age groups (young, middle-aged, old). Contrary to the hypothesis, older participants more often judged the emotional crowd to be angry compared to younger participants. Furthermore, whereas fixations were longer for happy faces than for angry faces in younger adults, this difference was not present in older adults. A decline in inhibitory processing in older adults as well as higher cognitive demands of the task are discussed as possible explanations for these findings.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aging; emotion perception; gaze movement; positivity effect; visual search+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]' Description:'Research focusing on the association between age and emotion perception has revealed inconsistent findings, with some support for an age-related positivity effect, as predicted by socioemotional selectivity theory. We used the mood-of-the-crowd (MoC) task to investigate whether older adults judge a crowd consisting of happy and angry expressions to be dominated by happy faces more frequently. The task was to decide whether an array of faces included more angry or more happy faces. Accuracy, reaction times, and gaze movements were analyzed to test the hypothesis, derived from socioemotional selectivity theory, that age would be associated with a bias toward judging crowds as happy, and with longer and more numerous fixations on happy expressions. Seventy-six participants took part in the study representing three different age groups (young, middle-aged, old). Contrary to the hypothesis, older participants more often judged the emotional crowd to be angry compared to younger participants. Furthermore, whereas fixations were longer for happy faces than for angry faces in younger adults, this difference was not present in older adults. A decline in inhibitory processing in older adults as well as higher cognitive demands of the task are discussed as possible explanations for these findings.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research focusing on the association between age and emotion perception has revealed inconsistent findings, with some support for an age-related positivity effect, as predicted by socioemotional selectivity theory. We used the mood-of-the-crowd (MoC) task to investigate whether older adults judge a crowd consisting of happy and angry expressions to be dominated by happy faces more frequently. The task was to decide whether an array of faces included more angry or more happy faces. Accuracy, reaction times, and gaze movements were analyzed to test the hypothesis, derived from socioemotional selectivity theory, that age would be associated with a bias toward judging crowds as happy, and with longer and more numerous fixations on happy expressions. Seventy-six participants took part in the study representing three different age groups (young, middle-aged, old). Contrary to the hypothesis, older participants more often judged the emotional crowd to be angry compared to younger participants. Furthermore, whereas fixations were longer for happy faces than for angry faces in younger adults, this difference was not present in older adults. A decline in inhibitory processing in older adults as well as higher cognitive demands of the task are discussed as possible explanations for these findings.","Subject":"Social Sciences","Keywords":"aging; emotion perception; gaze movement; positivity effect; visual search"},{"pid":"doi:10.11588/data/5JCEVW","Title":"Physicians’ Attitudes towards Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey. [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Physicians’ Attitudes towards Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey. [Research Data]' Description:'This is the research data from the publication 'Physicians' Attitudes toward Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey.' The research data includes the questionnaire, the data set used, and a description of the data preparation.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {clinical data; data access; data sharing; health data; physician attitudes; physician-scientists; secondary use+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Physicians’ Attitudes towards Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey. [Research Data]' Description:'This is the research data from the publication 'Physicians' Attitudes toward Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey.' The research data includes the questionnaire, the data set used, and a description of the data preparation.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the research data from the publication 'Physicians' Attitudes toward Secondary Use of Clinical Data for Biomedical Research Purposes. Results of a Quantitative Survey.' The research data includes the questionnaire, the data set used, and a description of the data preparation.","Subject":" Social Sciences","Keywords":"clinical data; data access; data sharing; health data; physician attitudes; physician-scientists; secondary use"},{"pid":"doi:10.11588/data/876SOV","Title":"Managerial bonuses and subordinate mistreatment [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Managerial bonuses and subordinate mistreatment [Dataset]' Description:'Can performance bonuses increase the likelihood that managers coerce their subordinates into exerting high levels of effort when doing so promotes neither efficiency nor equity? We consider a laboratory setting in which managers compete to obtain a large bonus at the end of the experiment and the probability of obtaining it depends partly on the effort exerted by the subordinates. We find that managers are more than twice as likely to punish subordinates exerting “fair” levels of effort if they compete for individual bonuses than when there are no bonuses. This is not the case when they compete for pooled bonuses – giving managers discretionary power over how to share them with their subordinates – as most subordinates willingly exert maximal effort. A model in which individuals are assumed to care about equity captures subordinates’ behavior well. Managers’ willingness to coerce subordinates into exerting unfairly high levels of effort, on the other hand, cannot be readily accounted for by any of the existing models of social preferences.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Coercion; Disobedience; Hierarchy; Managerial incentives; Tournament+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Managerial bonuses and subordinate mistreatment [Dataset]' Description:'Can performance bonuses increase the likelihood that managers coerce their subordinates into exerting high levels of effort when doing so promotes neither efficiency nor equity? We consider a laboratory setting in which managers compete to obtain a large bonus at the end of the experiment and the probability of obtaining it depends partly on the effort exerted by the subordinates. We find that managers are more than twice as likely to punish subordinates exerting “fair” levels of effort if they compete for individual bonuses than when there are no bonuses. This is not the case when they compete for pooled bonuses – giving managers discretionary power over how to share them with their subordinates – as most subordinates willingly exert maximal effort. A model in which individuals are assumed to care about equity captures subordinates’ behavior well. Managers’ willingness to coerce subordinates into exerting unfairly high levels of effort, on the other hand, cannot be readily accounted for by any of the existing models of social preferences.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Can performance bonuses increase the likelihood that managers coerce their subordinates into exerting high levels of effort when doing so promotes neither efficiency nor equity? We consider a laboratory setting in which managers compete to obtain a large bonus at the end of the experiment and the probability of obtaining it depends partly on the effort exerted by the subordinates. We find that managers are more than twice as likely to punish subordinates exerting “fair” levels of effort if they compete for individual bonuses than when there are no bonuses. This is not the case when they compete for pooled bonuses – giving managers discretionary power over how to share them with their subordinates – as most subordinates willingly exert maximal effort. A model in which individuals are assumed to care about equity captures subordinates’ behavior well. Managers’ willingness to coerce subordinates into exerting unfairly high levels of effort, on the other hand, cannot be readily accounted for by any of the existing models of social preferences.","Subject":"Social Sciences","Keywords":"Coercion; Disobedience; Hierarchy; Managerial incentives; Tournament"},{"pid":"doi:10.11588/data/8XF9OT","Title":"Self-reported & Revealed Trust: Experimental Evidence [Dataset and Replication Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Self-reported & Revealed Trust: Experimental Evidence [Dataset and Replication Code]' Description:'I study the relationship between self-declared trust attitudes - using a well-recognised and established personality questionnaire - and trust choices in an induced infinitely repeated trust game. I find that self-reported trust measures are significantly related with trust choices as long as trust is part of equilibrium strategies. I find that questions regarding others' intentions is a missing component in previous work that studies self-reports of trust. An important aspect of the design is that first movers are not privy to the choices made by their partners. This design feature, coupled with an uncertainty element introduced in determining the first mover's final payoff, allows me to analyse how first movers react to bad outcomes. Trusting individuals are more likely to give the benefit of doubt to others. Analysis of the incentivised subjective beliefs reveals that the effect of personality traits on trust choices is not through the formation of beliefs.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {intentions; personality; risk preferences; self-reported trust; subjective beliefs; trust+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Self-reported & Revealed Trust: Experimental Evidence [Dataset and Replication Code]' Description:'I study the relationship between self-declared trust attitudes - using a well-recognised and established personality questionnaire - and trust choices in an induced infinitely repeated trust game. I find that self-reported trust measures are significantly related with trust choices as long as trust is part of equilibrium strategies. I find that questions regarding others' intentions is a missing component in previous work that studies self-reports of trust. An important aspect of the design is that first movers are not privy to the choices made by their partners. This design feature, coupled with an uncertainty element introduced in determining the first mover's final payoff, allows me to analyse how first movers react to bad outcomes. Trusting individuals are more likely to give the benefit of doubt to others. Analysis of the incentivised subjective beliefs reveals that the effect of personality traits on trust choices is not through the formation of beliefs.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"I study the relationship between self-declared trust attitudes - using a well-recognised and established personality questionnaire - and trust choices in an induced infinitely repeated trust game. I find that self-reported trust measures are significantly related with trust choices as long as trust is part of equilibrium strategies. I find that questions regarding others' intentions is a missing component in previous work that studies self-reports of trust. An important aspect of the design is that first movers are not privy to the choices made by their partners. This design feature, coupled with an uncertainty element introduced in determining the first mover's final payoff, allows me to analyse how first movers react to bad outcomes. Trusting individuals are more likely to give the benefit of doubt to others. Analysis of the incentivised subjective beliefs reveals that the effect of personality traits on trust choices is not through the formation of beliefs.","Subject":"Social Sciences","Keywords":"intentions; personality; risk preferences; self-reported trust; subjective beliefs; trust"},{"pid":"doi:10.11588/data/AB9OAL","Title":"The Influence of Social Information on Norms of Cooperation [research data PhD project]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Influence of Social Information on Norms of Cooperation [research data PhD project]' Description:'Replication package for the dissertation titled 'The Influence of Social Information on Norms of Cooperation' by Tillmann Eymess, Heidelberg University.The package includes all replication files for the individual chapters of the dissertation as well as supplementary material. Provided are .csv files with the minimal data sets necessary to replicate all results, as well as scripts (for Stata and R), and readme files.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Social Information, Norm, Cooperation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Influence of Social Information on Norms of Cooperation [research data PhD project]' Description:'Replication package for the dissertation titled 'The Influence of Social Information on Norms of Cooperation' by Tillmann Eymess, Heidelberg University.The package includes all replication files for the individual chapters of the dissertation as well as supplementary material. Provided are .csv files with the minimal data sets necessary to replicate all results, as well as scripts (for Stata and R), and readme files.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication package for the dissertation titled 'The Influence of Social Information on Norms of Cooperation' by Tillmann Eymess, Heidelberg University.The package includes all replication files for the individual chapters of the dissertation as well as supplementary material. Provided are .csv files with the minimal data sets necessary to replicate all results, as well as scripts (for Stata and R), and readme files.","Subject":"Social Sciences","Keywords":"Social Information, Norm, Cooperation"},{"pid":"doi:10.11588/data/BU56YA","Title":"Ambiguity aversion is not universal [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ambiguity aversion is not universal [Dataset]' Description:'Assuming universal ambiguity aversion, an extensive theoretical literature studies how ambiguity can account for market anomalies from the perspective of expected utility-based theories. We provide a systematic experimental assessment of ambiguity attitudes in different likelihood ranges, and in the gain domain, the loss domain and with mixed outcomes. We draw on a unified framework to elicit preferences across these domains. We replicate the usual finding of ambiguity aversion for moderate likelihood gains. However, when introducing losses or lower likelihoods, we observe predominantly ambiguity neutrality or seeking, rejecting universal ambiguity aversion.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambiguity aversion; Decision under uncertainty; Ellsberg experiments+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ambiguity aversion is not universal [Dataset]' Description:'Assuming universal ambiguity aversion, an extensive theoretical literature studies how ambiguity can account for market anomalies from the perspective of expected utility-based theories. We provide a systematic experimental assessment of ambiguity attitudes in different likelihood ranges, and in the gain domain, the loss domain and with mixed outcomes. We draw on a unified framework to elicit preferences across these domains. We replicate the usual finding of ambiguity aversion for moderate likelihood gains. However, when introducing losses or lower likelihoods, we observe predominantly ambiguity neutrality or seeking, rejecting universal ambiguity aversion.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Assuming universal ambiguity aversion, an extensive theoretical literature studies how ambiguity can account for market anomalies from the perspective of expected utility-based theories. We provide a systematic experimental assessment of ambiguity attitudes in different likelihood ranges, and in the gain domain, the loss domain and with mixed outcomes. We draw on a unified framework to elicit preferences across these domains. We replicate the usual finding of ambiguity aversion for moderate likelihood gains. However, when introducing losses or lower likelihoods, we observe predominantly ambiguity neutrality or seeking, rejecting universal ambiguity aversion.","Subject":"Social Sciences","Keywords":"Ambiguity aversion; Decision under uncertainty; Ellsberg experiments"},{"pid":"doi:10.11588/data/CMCIXT","Title":"Experiencing Risk: Higher-Order Risk Attitudes in Description- and Experience-Based Decisions [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Experiencing Risk: Higher-Order Risk Attitudes in Description- and Experience-Based Decisions [Dataset]' Description:'Risky decisions are often characterized by (a) imprecision about consequences and their likelihoods that can be reduced by information collection, and by (b) unavoidable background risk. This article addresses both aspects by eliciting risk attitude, prudence, and temperance in decisions from description and decisions from experience. The results reveal a novel description-experience gap for prudence and replicate the known gap for risky decisions. While widespread prudence has been observed in decisionsform description, we find no evidence of prudent decision making from experience. In decisions from experience people are strongly influenced by the sampled mean, while skewness plays a smaller role than in decisions from description.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {description-experience gap; higher-order risk attitude; prudence; sampling; temperance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Experiencing Risk: Higher-Order Risk Attitudes in Description- and Experience-Based Decisions [Dataset]' Description:'Risky decisions are often characterized by (a) imprecision about consequences and their likelihoods that can be reduced by information collection, and by (b) unavoidable background risk. This article addresses both aspects by eliciting risk attitude, prudence, and temperance in decisions from description and decisions from experience. The results reveal a novel description-experience gap for prudence and replicate the known gap for risky decisions. While widespread prudence has been observed in decisionsform description, we find no evidence of prudent decision making from experience. In decisions from experience people are strongly influenced by the sampled mean, while skewness plays a smaller role than in decisions from description.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Risky decisions are often characterized by (a) imprecision about consequences and their likelihoods that can be reduced by information collection, and by (b) unavoidable background risk. This article addresses both aspects by eliciting risk attitude, prudence, and temperance in decisions from description and decisions from experience. The results reveal a novel description-experience gap for prudence and replicate the known gap for risky decisions. While widespread prudence has been observed in decisionsform description, we find no evidence of prudent decision making from experience. In decisions from experience people are strongly influenced by the sampled mean, while skewness plays a smaller role than in decisions from description.","Subject":"Social Sciences","Keywords":"description-experience gap; higher-order risk attitude; prudence; sampling; temperance"},{"pid":"doi:10.11588/data/CVMANS","Title":"Does Happiness Increase in Old Age? Longitudinal Evidence from 20 European Countries [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Does Happiness Increase in Old Age? Longitudinal Evidence from 20 European Countries [Dataset]' Description:'Several studies indicate that happiness follows a U-shape over the life cycle: Happiness decreases after the teenage years until reaching its nadir in middle age. A similar number of studies views the U-shape critically, stating that it is the result of the wrong controls or the wrong model. In this paper, we study the upward-pointing branch of the U-shape, tracing the happiness of European citizens 50 and older over multiple waves. Consistent with a U-shape around middle age, we find that happiness initially increases after the age of 50, but commonly stagnates afterwards and eventually reverts at high age. This pattern is generally observed irrespective of the utilized happiness measure, control variables, estimation methods, and the consideration of selection effects due to mortality. However, the strength of this pattern depends on the utilized happiness measure, control variables, and on mortality effects. The general pattern does not emerge for all countries, and is not always observed for women.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ageing; Happiness; Midlife; SHARE; U-shape+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Does Happiness Increase in Old Age? Longitudinal Evidence from 20 European Countries [Dataset]' Description:'Several studies indicate that happiness follows a U-shape over the life cycle: Happiness decreases after the teenage years until reaching its nadir in middle age. A similar number of studies views the U-shape critically, stating that it is the result of the wrong controls or the wrong model. In this paper, we study the upward-pointing branch of the U-shape, tracing the happiness of European citizens 50 and older over multiple waves. Consistent with a U-shape around middle age, we find that happiness initially increases after the age of 50, but commonly stagnates afterwards and eventually reverts at high age. This pattern is generally observed irrespective of the utilized happiness measure, control variables, estimation methods, and the consideration of selection effects due to mortality. However, the strength of this pattern depends on the utilized happiness measure, control variables, and on mortality effects. The general pattern does not emerge for all countries, and is not always observed for women.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Several studies indicate that happiness follows a U-shape over the life cycle: Happiness decreases after the teenage years until reaching its nadir in middle age. A similar number of studies views the U-shape critically, stating that it is the result of the wrong controls or the wrong model. In this paper, we study the upward-pointing branch of the U-shape, tracing the happiness of European citizens 50 and older over multiple waves. Consistent with a U-shape around middle age, we find that happiness initially increases after the age of 50, but commonly stagnates afterwards and eventually reverts at high age. This pattern is generally observed irrespective of the utilized happiness measure, control variables, estimation methods, and the consideration of selection effects due to mortality. However, the strength of this pattern depends on the utilized happiness measure, control variables, and on mortality effects. The general pattern does not emerge for all countries, and is not always observed for women.","Subject":"Social Sciences","Keywords":"Ageing; Happiness; Midlife; SHARE; U-shape"},{"pid":"doi:10.11588/data/D7H3OL","Title":"Institutional coordination arrangements as elements of policy design spaces","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Institutional coordination arrangements as elements of policy design spaces' Description:'This study offers insights into the institutional arrangements established to coordinate policies aiming at the mitigation of and adaptation to climate change. Drawing on the literature on policy design, we highlight institutional arrangements as elements of policy design spaces and contend that they fall into four categories that either stress the political or problem orientation of this activity: optimal, technical, political, and sub-optimal. We use original data on 44 major economies and greenhouse gas-emitting countries to test this expectation. These data capture various properties of national coordination arrangements, including the types of coordination instruments in place, the degree of hierarchy, the lead government agency responsible for coordination, and the scope of cross-sectoral policy coordination. The dataset also captures the degree to which non-state actors are involved in coordination and whether coordination processes are supported by scientific knowledge. Using cluster analysis, we show that the institutional arrangements for the horizontal coordination of climate policy do indeed fall into the four abovementioned categories. The cluster analysis further reveals that a fifth, hybrid category exists. Interestingly, the political orientation dominates in the institutional arrangements for the horizontal coordination of climate change mitigation, whereas the problem orientation is more important in the arrangements for the horizontal coordination of climate change adaptation.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {adaptation; climate change; coordination bodies; horizontal policy coordination; mitigation; policy design+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Institutional coordination arrangements as elements of policy design spaces' Description:'This study offers insights into the institutional arrangements established to coordinate policies aiming at the mitigation of and adaptation to climate change. Drawing on the literature on policy design, we highlight institutional arrangements as elements of policy design spaces and contend that they fall into four categories that either stress the political or problem orientation of this activity: optimal, technical, political, and sub-optimal. We use original data on 44 major economies and greenhouse gas-emitting countries to test this expectation. These data capture various properties of national coordination arrangements, including the types of coordination instruments in place, the degree of hierarchy, the lead government agency responsible for coordination, and the scope of cross-sectoral policy coordination. The dataset also captures the degree to which non-state actors are involved in coordination and whether coordination processes are supported by scientific knowledge. Using cluster analysis, we show that the institutional arrangements for the horizontal coordination of climate policy do indeed fall into the four abovementioned categories. The cluster analysis further reveals that a fifth, hybrid category exists. Interestingly, the political orientation dominates in the institutional arrangements for the horizontal coordination of climate change mitigation, whereas the problem orientation is more important in the arrangements for the horizontal coordination of climate change adaptation.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study offers insights into the institutional arrangements established to coordinate policies aiming at the mitigation of and adaptation to climate change. Drawing on the literature on policy design, we highlight institutional arrangements as elements of policy design spaces and contend that they fall into four categories that either stress the political or problem orientation of this activity: optimal, technical, political, and sub-optimal. We use original data on 44 major economies and greenhouse gas-emitting countries to test this expectation. These data capture various properties of national coordination arrangements, including the types of coordination instruments in place, the degree of hierarchy, the lead government agency responsible for coordination, and the scope of cross-sectoral policy coordination. The dataset also captures the degree to which non-state actors are involved in coordination and whether coordination processes are supported by scientific knowledge. Using cluster analysis, we show that the institutional arrangements for the horizontal coordination of climate policy do indeed fall into the four abovementioned categories. The cluster analysis further reveals that a fifth, hybrid category exists. Interestingly, the political orientation dominates in the institutional arrangements for the horizontal coordination of climate change mitigation, whereas the problem orientation is more important in the arrangements for the horizontal coordination of climate change adaptation.","Subject":"Social Sciences","Keywords":"adaptation; climate change; coordination bodies; horizontal policy coordination; mitigation; policy design"},{"pid":"doi:10.11588/data/HNN1FW","Title":"Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]' Description:'The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions that do not refer to ambiguity: expected utility for risk and backward induction. These assumptions, even if normatively appropriate, fail descriptively. This paper relaxes these ancillary assumptions to avoid the descriptive violations, while maintaining AA’s convenient mixture operation. Thus, it becomes possible to test and apply all AA-based ambiguity theories descriptively while avoiding confounds due to violated ancillary assumptions. The resulting tests use only simple stimuli, avoiding noise due to complexity. We demonstrate the latter in a simple experiment where we find that three assumptions about ambiguity, commonly made in AA theories, are violated: reference independence, universal ambiguity aversion, and weak certainty independence. The second, theoretical, part of the paper accommodates the violations found for the first ambiguity theory in the AA model—Schmeidler’s CEU theory—by introducing and axiomatizing a reference dependent generalization. That is, we extend the AA ambiguity model to prospect theory.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambiguity; Certainty independence; Loss aversion; Prospect theory; Reference dependence+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]' Description:'The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions that do not refer to ambiguity: expected utility for risk and backward induction. These assumptions, even if normatively appropriate, fail descriptively. This paper relaxes these ancillary assumptions to avoid the descriptive violations, while maintaining AA’s convenient mixture operation. Thus, it becomes possible to test and apply all AA-based ambiguity theories descriptively while avoiding confounds due to violated ancillary assumptions. The resulting tests use only simple stimuli, avoiding noise due to complexity. We demonstrate the latter in a simple experiment where we find that three assumptions about ambiguity, commonly made in AA theories, are violated: reference independence, universal ambiguity aversion, and weak certainty independence. The second, theoretical, part of the paper accommodates the violations found for the first ambiguity theory in the AA model—Schmeidler’s CEU theory—by introducing and axiomatizing a reference dependent generalization. That is, we extend the AA ambiguity model to prospect theory.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions that do not refer to ambiguity: expected utility for risk and backward induction. These assumptions, even if normatively appropriate, fail descriptively. This paper relaxes these ancillary assumptions to avoid the descriptive violations, while maintaining AA’s convenient mixture operation. Thus, it becomes possible to test and apply all AA-based ambiguity theories descriptively while avoiding confounds due to violated ancillary assumptions. The resulting tests use only simple stimuli, avoiding noise due to complexity. We demonstrate the latter in a simple experiment where we find that three assumptions about ambiguity, commonly made in AA theories, are violated: reference independence, universal ambiguity aversion, and weak certainty independence. The second, theoretical, part of the paper accommodates the violations found for the first ambiguity theory in the AA model—Schmeidler’s CEU theory—by introducing and axiomatizing a reference dependent generalization. That is, we extend the AA ambiguity model to prospect theory.","Subject":"Social Sciences","Keywords":"Ambiguity; Certainty independence; Loss aversion; Prospect theory; Reference dependence"},{"pid":"doi:10.11588/data/DQRICW","Title":"Online Anhang der Dissertationsschrift 'Partnermarkt und homogame Partnerwahl: Analysen zum Einfluss von Partnermarktkonkurrenz, -transparenz und -effizienz am Beispiel von Bildung und ethnischem Hintergrund'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Online Anhang der Dissertationsschrift 'Partnermarkt und homogame Partnerwahl: Analysen zum Einfluss von Partnermarktkonkurrenz, -transparenz und -effizienz am Beispiel von Bildung und ethnischem Hintergrund'' Description:'Der Onlineanhang enthält alle Ergebnisse der im Rahmen der Dissertationsschrift 'Partnermarkt und homogame Partnerwahl: Analysen zum Einfluss von Partnermarktkonkurrenz, -transparenz und -effizienz am Beispiel von Bildung und ethnischem Hintergrund' durchgeführten statistischen Analysen und einen Leitfaden zur besseren Orientierung. Insgesamt sind 110 Dateien im Word-Format, 579 Dateien im Excel-Format und eine Datei im PDF-Format enthalten.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {assortative mating; Homogamie; partner market; Partnermarkt+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Online Anhang der Dissertationsschrift 'Partnermarkt und homogame Partnerwahl: Analysen zum Einfluss von Partnermarktkonkurrenz, -transparenz und -effizienz am Beispiel von Bildung und ethnischem Hintergrund'' Description:'Der Onlineanhang enthält alle Ergebnisse der im Rahmen der Dissertationsschrift 'Partnermarkt und homogame Partnerwahl: Analysen zum Einfluss von Partnermarktkonkurrenz, -transparenz und -effizienz am Beispiel von Bildung und ethnischem Hintergrund' durchgeführten statistischen Analysen und einen Leitfaden zur besseren Orientierung. Insgesamt sind 110 Dateien im Word-Format, 579 Dateien im Excel-Format und eine Datei im PDF-Format enthalten.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Der Onlineanhang enthält alle Ergebnisse der im Rahmen der Dissertationsschrift 'Partnermarkt und homogame Partnerwahl: Analysen zum Einfluss von Partnermarktkonkurrenz, -transparenz und -effizienz am Beispiel von Bildung und ethnischem Hintergrund' durchgeführten statistischen Analysen und einen Leitfaden zur besseren Orientierung. Insgesamt sind 110 Dateien im Word-Format, 579 Dateien im Excel-Format und eine Datei im PDF-Format enthalten.","Subject":"Social Sciences","Keywords":"assortative mating; Homogamie; partner market; Partnermarkt"},{"pid":"doi:10.11588/data/E3JAHX","Title":"Is it all about the feeling? Affective and (meta-)cognitive mechanisms underlying the truth effect. [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Is it all about the feeling? Affective and (meta-)cognitive mechanisms underlying the truth effect. [Dataset]' Description:'This data-set contains all data from the paper 'Is it all about the feeling? Affective and (meta-)cognitive mechanisms underlying the truth effect.'' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {affective states; personality; processing fluency; truth effect; truth judgments+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Is it all about the feeling? Affective and (meta-)cognitive mechanisms underlying the truth effect. [Dataset]' Description:'This data-set contains all data from the paper 'Is it all about the feeling? Affective and (meta-)cognitive mechanisms underlying the truth effect.'' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data-set contains all data from the paper 'Is it all about the feeling? Affective and (meta-)cognitive mechanisms underlying the truth effect.'","Subject":"Social Sciences","Keywords":"affective states; personality; processing fluency; truth effect; truth judgments"},{"pid":"doi:10.11588/data/EMUXDX","Title":"Protecting democracy from abroad [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Protecting democracy from abroad [Data]' Description:'This dataset and analysis files accompany the paper 'Protecting democracy from abroad: Democracy aid against attempts to circumvent presidential term limits' (Democratization, forthcoming). The article addresses the question whether international democracy aid helps to protect presidential term limits, a commonly accepted safeguard for democracy. According to our analysis, democracy aid is effective in countering attempts to circumvent term limits, thus, contributed to protecting democratic standards in African and Latin American countries between 1990 and 2014. While democracy aid lowers the risk for a successful circumvention of a term limit, its effect is not as strong on initiating an attempt to circumvent term limits. Our analysis furthermore suggests that the risk for an attempt to circumvent term limits is about double as high in Latin American as in African states. Our results confirm prior findings that ‘targeted aid’ such as democracy aid matters for protecting democracy when it is at risk. They furthermore support previous indications that more refined theories on the effects of democracy aid in different phases of a domestic process are necessary.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {democracy aid; democracy assistance; democracy promotion; democratization; event history analysis; executive power; international intervention; survival analysis; term limits+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Protecting democracy from abroad [Data]' Description:'This dataset and analysis files accompany the paper 'Protecting democracy from abroad: Democracy aid against attempts to circumvent presidential term limits' (Democratization, forthcoming). The article addresses the question whether international democracy aid helps to protect presidential term limits, a commonly accepted safeguard for democracy. According to our analysis, democracy aid is effective in countering attempts to circumvent term limits, thus, contributed to protecting democratic standards in African and Latin American countries between 1990 and 2014. While democracy aid lowers the risk for a successful circumvention of a term limit, its effect is not as strong on initiating an attempt to circumvent term limits. Our analysis furthermore suggests that the risk for an attempt to circumvent term limits is about double as high in Latin American as in African states. Our results confirm prior findings that ‘targeted aid’ such as democracy aid matters for protecting democracy when it is at risk. They furthermore support previous indications that more refined theories on the effects of democracy aid in different phases of a domestic process are necessary.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset and analysis files accompany the paper 'Protecting democracy from abroad: Democracy aid against attempts to circumvent presidential term limits' (Democratization, forthcoming). The article addresses the question whether international democracy aid helps to protect presidential term limits, a commonly accepted safeguard for democracy. According to our analysis, democracy aid is effective in countering attempts to circumvent term limits, thus, contributed to protecting democratic standards in African and Latin American countries between 1990 and 2014. While democracy aid lowers the risk for a successful circumvention of a term limit, its effect is not as strong on initiating an attempt to circumvent term limits. Our analysis furthermore suggests that the risk for an attempt to circumvent term limits is about double as high in Latin American as in African states. Our results confirm prior findings that ‘targeted aid’ such as democracy aid matters for protecting democracy when it is at risk. They furthermore support previous indications that more refined theories on the effects of democracy aid in different phases of a domestic process are necessary.","Subject":"Social Sciences","Keywords":"democracy aid; democracy assistance; democracy promotion; democratization; event history analysis; executive power; international intervention; survival analysis; term limits"},{"pid":"doi:10.11588/data/FC6TFM","Title":"Cognitive Abilities and Behavioral Biases [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cognitive Abilities and Behavioral Biases [Dataset]' Description:'We use a simple, three-item test for cognitive abilities to investigate whether established behavioral biases that play a prominent role in behavioral economics and finance are related to cognitive abilities.We find that higher test scores on the cognitive reflection test of Frederick [Frederick, S., 2005. Cognitive reflection and decision-making. Journal of Economic Perspectives 19, 25–42] indeed are correlated with lower incidences of the conjunction fallacy and conservatism in updating probabilities. Test scores are also significantly related to subjects’ time and risk preferences. Test scores have no influence on the amount of anchoring, although there is evidence of anchoring among all subjects. Even if incidences of most biases are lower for people with higher cognitive abilities, they still remain substantial.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Behavioral finance; Biases; Cognitive abilities; Cognitive reflection test+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cognitive Abilities and Behavioral Biases [Dataset]' Description:'We use a simple, three-item test for cognitive abilities to investigate whether established behavioral biases that play a prominent role in behavioral economics and finance are related to cognitive abilities.We find that higher test scores on the cognitive reflection test of Frederick [Frederick, S., 2005. Cognitive reflection and decision-making. Journal of Economic Perspectives 19, 25–42] indeed are correlated with lower incidences of the conjunction fallacy and conservatism in updating probabilities. Test scores are also significantly related to subjects’ time and risk preferences. Test scores have no influence on the amount of anchoring, although there is evidence of anchoring among all subjects. Even if incidences of most biases are lower for people with higher cognitive abilities, they still remain substantial.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We use a simple, three-item test for cognitive abilities to investigate whether established behavioral biases that play a prominent role in behavioral economics and finance are related to cognitive abilities.We find that higher test scores on the cognitive reflection test of Frederick [Frederick, S., 2005. Cognitive reflection and decision-making. Journal of Economic Perspectives 19, 25–42] indeed are correlated with lower incidences of the conjunction fallacy and conservatism in updating probabilities. Test scores are also significantly related to subjects’ time and risk preferences. Test scores have no influence on the amount of anchoring, although there is evidence of anchoring among all subjects. Even if incidences of most biases are lower for people with higher cognitive abilities, they still remain substantial.","Subject":"Social Sciences","Keywords":"Behavioral finance; Biases; Cognitive abilities; Cognitive reflection test"},{"pid":"doi:10.11588/data/G0RNAZ","Title":"A Test of Information Aversion","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Test of Information Aversion' Description:'The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the ``Bayesian implication'' stands in conflict with the information-averse behavior that is revealed in our experiment. This behavior demonstrates that the value of truthful and unambiguous information may indeed be negative. Our findings complement predictions from recent theoretical work in showing that negative value of information correlates with ambiguity aversion. This highlights the importance of counseling for decision-making under uncertainty.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {value of information+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Test of Information Aversion' Description:'The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the ``Bayesian implication'' stands in conflict with the information-averse behavior that is revealed in our experiment. This behavior demonstrates that the value of truthful and unambiguous information may indeed be negative. Our findings complement predictions from recent theoretical work in showing that negative value of information correlates with ambiguity aversion. This highlights the importance of counseling for decision-making under uncertainty.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the ``Bayesian implication'' stands in conflict with the information-averse behavior that is revealed in our experiment. This behavior demonstrates that the value of truthful and unambiguous information may indeed be negative. Our findings complement predictions from recent theoretical work in showing that negative value of information correlates with ambiguity aversion. This highlights the importance of counseling for decision-making under uncertainty.","Subject":"Social Sciences","Keywords":"value of information"},{"pid":"doi:10.11588/data/GANTNY","Title":"Subsidizing Unit Donations: Matches, Rebates, and Discounts Compared [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Subsidizing Unit Donations: Matches, Rebates, and Discounts Compared [Dataset]' Description:'An influential result in the literature on charitable giving is that matching subsidies dominate rebate subsidies in raising funds. We investigate whether this result extends to 'unit donation' schemes, a popular alternative form of soliciting donations. There, the donors' choices are over the number of units of a charitable good to fund at a given unit price, rather than the amount of money to give. Comparing matches and rebates as well as simple discounts on the unit price, we find no evidence of dominance in our online experiment: The three subsidy types are equally effective overall. At a more disaggregated level, rebates lead to a higher likelihood of giving while matching and discount subsidies lead to larger donations by donors. This suggests that charities using a unit donation scheme enjoy additional degrees of freedom in choosing a subsidy type. Rebates merit additional consideration if the primary goal is to attract donors.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Charitable giving; Framing; Online experiment; Subsidies; Unit donation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Subsidizing Unit Donations: Matches, Rebates, and Discounts Compared [Dataset]' Description:'An influential result in the literature on charitable giving is that matching subsidies dominate rebate subsidies in raising funds. We investigate whether this result extends to 'unit donation' schemes, a popular alternative form of soliciting donations. There, the donors' choices are over the number of units of a charitable good to fund at a given unit price, rather than the amount of money to give. Comparing matches and rebates as well as simple discounts on the unit price, we find no evidence of dominance in our online experiment: The three subsidy types are equally effective overall. At a more disaggregated level, rebates lead to a higher likelihood of giving while matching and discount subsidies lead to larger donations by donors. This suggests that charities using a unit donation scheme enjoy additional degrees of freedom in choosing a subsidy type. Rebates merit additional consideration if the primary goal is to attract donors.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"An influential result in the literature on charitable giving is that matching subsidies dominate rebate subsidies in raising funds. We investigate whether this result extends to 'unit donation' schemes, a popular alternative form of soliciting donations. There, the donors' choices are over the number of units of a charitable good to fund at a given unit price, rather than the amount of money to give. Comparing matches and rebates as well as simple discounts on the unit price, we find no evidence of dominance in our online experiment: The three subsidy types are equally effective overall. At a more disaggregated level, rebates lead to a higher likelihood of giving while matching and discount subsidies lead to larger donations by donors. This suggests that charities using a unit donation scheme enjoy additional degrees of freedom in choosing a subsidy type. Rebates merit additional consideration if the primary goal is to attract donors.","Subject":"Social Sciences","Keywords":"Charitable giving; Framing; Online experiment; Subsidies; Unit donation"},{"pid":"doi:10.11588/data/GBKK4O","Title":"Risk, time pressure, and selection effects [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Risk, time pressure, and selection effects [Dataset]' Description:'Time pressure is a central aspect of economic decision making nowadays.It is therefore natural to ask how time pressure affects decisions, and how to detectindividual heterogeneity in the ability to successfully cope with time pressure. In thecontext of risky decisions, we ask whether a person’s performance under timepressure can be predicted by measurable behavior and traits, and whether suchmeasurement itself may be affected by selection issues. We find that the ability tocope with time pressure varies significantly across decision makers, leading toselected subgroups that differ in terms of their observed behaviors and personaltraits. Moreover, measures of cognitive ability and intellectual efficiency jointlypredict individuals’ decision quality and ability to keep their decision strategy undertime pressure.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cognitive ability; Risk; Selection; Time pressure+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Risk, time pressure, and selection effects [Dataset]' Description:'Time pressure is a central aspect of economic decision making nowadays.It is therefore natural to ask how time pressure affects decisions, and how to detectindividual heterogeneity in the ability to successfully cope with time pressure. In thecontext of risky decisions, we ask whether a person’s performance under timepressure can be predicted by measurable behavior and traits, and whether suchmeasurement itself may be affected by selection issues. We find that the ability tocope with time pressure varies significantly across decision makers, leading toselected subgroups that differ in terms of their observed behaviors and personaltraits. Moreover, measures of cognitive ability and intellectual efficiency jointlypredict individuals’ decision quality and ability to keep their decision strategy undertime pressure.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Time pressure is a central aspect of economic decision making nowadays.It is therefore natural to ask how time pressure affects decisions, and how to detectindividual heterogeneity in the ability to successfully cope with time pressure. In thecontext of risky decisions, we ask whether a person’s performance under timepressure can be predicted by measurable behavior and traits, and whether suchmeasurement itself may be affected by selection issues. We find that the ability tocope with time pressure varies significantly across decision makers, leading toselected subgroups that differ in terms of their observed behaviors and personaltraits. Moreover, measures of cognitive ability and intellectual efficiency jointlypredict individuals’ decision quality and ability to keep their decision strategy undertime pressure.","Subject":"Social Sciences","Keywords":"Cognitive ability; Risk; Selection; Time pressure"},{"pid":"doi:10.11588/data/HBDRBY","Title":"Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment [Data]' Description:'The data set contains the data associated with the study on 'Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment'. The files include the javascript codes for running the experiments, the data, and example stimuli.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aging; Alzheimer's disease; event cognition; macro-events; mild cognitive impairment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment [Data]' Description:'The data set contains the data associated with the study on 'Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment'. The files include the javascript codes for running the experiments, the data, and example stimuli.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data set contains the data associated with the study on 'Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment'. The files include the javascript codes for running the experiments, the data, and example stimuli.","Subject":"Social Sciences","Keywords":"aging; Alzheimer's disease; event cognition; macro-events; mild cognitive impairment"},{"pid":"doi:10.11588/data/HFTMST","Title":"Imitation of Peers in Children and Adults [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Imitation of Peers in Children and Adults [Dataset]' Description:'Imitation of the successful choices of others is a simple and superficially attractive learning rule. It has been shown to be an important driving force for the strategic behavior of (young) adults. In this study we examine whether imitation is prevalent in the behavior of children aged between 8 and 10. Surprisingly, we find that imitation seems to be cognitively demanding. Most children in this age group ignore information about others, foregoing substantial learning opportunities. While this seems to contradict much of the literature in the field of psychology, we argue that success-based imitation of peers may be harder for children to perform than non-success-based imitation of adults.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {children; imitation learning; peer imitation; success-based imitation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Imitation of Peers in Children and Adults [Dataset]' Description:'Imitation of the successful choices of others is a simple and superficially attractive learning rule. It has been shown to be an important driving force for the strategic behavior of (young) adults. In this study we examine whether imitation is prevalent in the behavior of children aged between 8 and 10. Surprisingly, we find that imitation seems to be cognitively demanding. Most children in this age group ignore information about others, foregoing substantial learning opportunities. While this seems to contradict much of the literature in the field of psychology, we argue that success-based imitation of peers may be harder for children to perform than non-success-based imitation of adults.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Imitation of the successful choices of others is a simple and superficially attractive learning rule. It has been shown to be an important driving force for the strategic behavior of (young) adults. In this study we examine whether imitation is prevalent in the behavior of children aged between 8 and 10. Surprisingly, we find that imitation seems to be cognitively demanding. Most children in this age group ignore information about others, foregoing substantial learning opportunities. While this seems to contradict much of the literature in the field of psychology, we argue that success-based imitation of peers may be harder for children to perform than non-success-based imitation of adults.","Subject":"Social Sciences","Keywords":"children; imitation learning; peer imitation; success-based imitation"},{"pid":"doi:10.11588/data/HQW24W","Title":"Good decision vs. good results: Outcome bias in the evaluation of financial agents [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Good decision vs. good results: Outcome bias in the evaluation of financial agents [Dataset]' Description:'We document outcome bias in situations where an agent makes risky financialdecisions for a principal. In three experiments, we show that the principal’s eval-uations and financial rewards for the agent are strongly affected by the randomoutcome of the risky investment. This happens despite her exact knowledge of theinvestment strategy, which can, therefore, be assessed independently of the out-come. The principal thus judges the same decision by the agent differently,depending on factors that the agent has no influence on. The effect of outcomespersists in a setting where principals communicate a preferred investment level.Principals are more satisfied with the agent after a random success when the agentdid not follow the requested investment level, than after a failed investment thatfollowed their explicit request.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accountability; Decisions of agents; Decision under risk; Financial advice; Outcome bias+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Good decision vs. good results: Outcome bias in the evaluation of financial agents [Dataset]' Description:'We document outcome bias in situations where an agent makes risky financialdecisions for a principal. In three experiments, we show that the principal’s eval-uations and financial rewards for the agent are strongly affected by the randomoutcome of the risky investment. This happens despite her exact knowledge of theinvestment strategy, which can, therefore, be assessed independently of the out-come. The principal thus judges the same decision by the agent differently,depending on factors that the agent has no influence on. The effect of outcomespersists in a setting where principals communicate a preferred investment level.Principals are more satisfied with the agent after a random success when the agentdid not follow the requested investment level, than after a failed investment thatfollowed their explicit request.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We document outcome bias in situations where an agent makes risky financialdecisions for a principal. In three experiments, we show that the principal’s eval-uations and financial rewards for the agent are strongly affected by the randomoutcome of the risky investment. This happens despite her exact knowledge of theinvestment strategy, which can, therefore, be assessed independently of the out-come. The principal thus judges the same decision by the agent differently,depending on factors that the agent has no influence on. The effect of outcomespersists in a setting where principals communicate a preferred investment level.Principals are more satisfied with the agent after a random success when the agentdid not follow the requested investment level, than after a failed investment thatfollowed their explicit request.","Subject":"Social Sciences","Keywords":"Accountability; Decisions of agents; Decision under risk; Financial advice; Outcome bias"},{"pid":"doi:10.11588/data/HY4OBJ","Title":"Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]' Description:'In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step, the network has to be trained with simulated data to learn the relation of parameters and data. Then, the trained network can be used to re-estimate parameters for real data. The efficiency and robustness of this approach was tested for two decision models based on continuous evidence accumulation. Study 1 investigated the recovery of parameters of the diffusion model, and Study 2 addressed the same question for a Lévy-Flight model. Results demonstrate that the machine-learning approach is superior to traditional multidimensional search algorithms that maximize the likelihood, both in terms of correlations of estimated parameters with true parameters and with regard to absolute deviations. The new approach also excels the maximum likelihood based search pertaining the robustness in the presence of contaminated data.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cognitive Model; Diffusion Modell; Lévy-Flight; Machine Learning; Parameter Estimation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]' Description:'In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step, the network has to be trained with simulated data to learn the relation of parameters and data. Then, the trained network can be used to re-estimate parameters for real data. The efficiency and robustness of this approach was tested for two decision models based on continuous evidence accumulation. Study 1 investigated the recovery of parameters of the diffusion model, and Study 2 addressed the same question for a Lévy-Flight model. Results demonstrate that the machine-learning approach is superior to traditional multidimensional search algorithms that maximize the likelihood, both in terms of correlations of estimated parameters with true parameters and with regard to absolute deviations. The new approach also excels the maximum likelihood based search pertaining the robustness in the presence of contaminated data.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step, the network has to be trained with simulated data to learn the relation of parameters and data. Then, the trained network can be used to re-estimate parameters for real data. The efficiency and robustness of this approach was tested for two decision models based on continuous evidence accumulation. Study 1 investigated the recovery of parameters of the diffusion model, and Study 2 addressed the same question for a Lévy-Flight model. Results demonstrate that the machine-learning approach is superior to traditional multidimensional search algorithms that maximize the likelihood, both in terms of correlations of estimated parameters with true parameters and with regard to absolute deviations. The new approach also excels the maximum likelihood based search pertaining the robustness in the presence of contaminated data.","Subject":"Social Sciences","Keywords":"Cognitive Model; Diffusion Modell; Lévy-Flight; Machine Learning; Parameter Estimation"},{"pid":"doi:10.11588/data/HY4OBJ","Title":"Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]' Description:'In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step, the network has to be trained with simulated data to learn the relation of parameters and data. Then, the trained network can be used to re-estimate parameters for real data. The efficiency and robustness of this approach was tested for two decision models based on continuous evidence accumulation. Study 1 investigated the recovery of parameters of the diffusion model, and Study 2 addressed the same question for a Lévy-Flight model. Results demonstrate that the machine-learning approach is superior to traditional multidimensional search algorithms that maximize the likelihood, both in terms of correlations of estimated parameters with true parameters and with regard to absolute deviations. The new approach also excels the maximum likelihood based search pertaining the robustness in the presence of contaminated data.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cognitive Model; Diffusion Modell; Lévy-Flight; Machine Learning; Parameter Estimation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]' Description:'In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step, the network has to be trained with simulated data to learn the relation of parameters and data. Then, the trained network can be used to re-estimate parameters for real data. The efficiency and robustness of this approach was tested for two decision models based on continuous evidence accumulation. Study 1 investigated the recovery of parameters of the diffusion model, and Study 2 addressed the same question for a Lévy-Flight model. Results demonstrate that the machine-learning approach is superior to traditional multidimensional search algorithms that maximize the likelihood, both in terms of correlations of estimated parameters with true parameters and with regard to absolute deviations. The new approach also excels the maximum likelihood based search pertaining the robustness in the presence of contaminated data.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step, the network has to be trained with simulated data to learn the relation of parameters and data. Then, the trained network can be used to re-estimate parameters for real data. The efficiency and robustness of this approach was tested for two decision models based on continuous evidence accumulation. Study 1 investigated the recovery of parameters of the diffusion model, and Study 2 addressed the same question for a Lévy-Flight model. Results demonstrate that the machine-learning approach is superior to traditional multidimensional search algorithms that maximize the likelihood, both in terms of correlations of estimated parameters with true parameters and with regard to absolute deviations. The new approach also excels the maximum likelihood based search pertaining the robustness in the presence of contaminated data.","Subject":"Social Sciences","Keywords":"Cognitive Model; Diffusion Modell; Lévy-Flight; Machine Learning; Parameter Estimation"},{"pid":"doi:10.11588/data/KDSFRB","Title":"Heidelberg Cyber Conflict Dataset (HD-CY.CON)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Heidelberg Cyber Conflict Dataset (HD-CY.CON)' Description:'The Heidelberg Cyber Conflict Dataset (HD-CY.CON) has been developed at the Institute for Political Science, Heidelberg University, under the guidance of Prof. Dr. Sebastian Harnisch. HD-CY.CON is a comprehensive dataset on malicious cyber operations, integrating categories of offline conflict research with characteristics of online conflicts. Drawing on a broad variety of news sources, technical threat research reports by IT-companies and information offered by state security agencies, HD-CY.CON (currently) comprises data on 1265 cyber incidents from 2000 – 2019. The data set includes operations by states and various non-state-actors, both as attackers and victims. While existing cyber conflict datasets focus on generic categories, such as 'state or state-supported' cyber operations, the Heidelberg data set offers a more nuanced differentiation of political and technical attribution statements, including the attributing initiator and its characteristics. In addition, HD-CY.CON uses conflict categories of the Conflict Barometer by the Heidelberg Institute for International Conflict Research (HIIK), thus allowing a closer examination of interaction between between offline-, and online conflict dynamics. Cyber incidents are coded according to categories of the HD.CY-CON codebook and differentiated into three main incident types: data theft, disruption and hijacking. Moreover, they are accredited an intensity score, based on technical and socio-political indicators.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cyber Conflict, Cyber Incident, Cyber Espionage, Attribution, Conflict Issues, Proxies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Heidelberg Cyber Conflict Dataset (HD-CY.CON)' Description:'The Heidelberg Cyber Conflict Dataset (HD-CY.CON) has been developed at the Institute for Political Science, Heidelberg University, under the guidance of Prof. Dr. Sebastian Harnisch. HD-CY.CON is a comprehensive dataset on malicious cyber operations, integrating categories of offline conflict research with characteristics of online conflicts. Drawing on a broad variety of news sources, technical threat research reports by IT-companies and information offered by state security agencies, HD-CY.CON (currently) comprises data on 1265 cyber incidents from 2000 – 2019. The data set includes operations by states and various non-state-actors, both as attackers and victims. While existing cyber conflict datasets focus on generic categories, such as 'state or state-supported' cyber operations, the Heidelberg data set offers a more nuanced differentiation of political and technical attribution statements, including the attributing initiator and its characteristics. In addition, HD-CY.CON uses conflict categories of the Conflict Barometer by the Heidelberg Institute for International Conflict Research (HIIK), thus allowing a closer examination of interaction between between offline-, and online conflict dynamics. Cyber incidents are coded according to categories of the HD.CY-CON codebook and differentiated into three main incident types: data theft, disruption and hijacking. Moreover, they are accredited an intensity score, based on technical and socio-political indicators.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Heidelberg Cyber Conflict Dataset (HD-CY.CON) has been developed at the Institute for Political Science, Heidelberg University, under the guidance of Prof. Dr. Sebastian Harnisch. HD-CY.CON is a comprehensive dataset on malicious cyber operations, integrating categories of offline conflict research with characteristics of online conflicts. Drawing on a broad variety of news sources, technical threat research reports by IT-companies and information offered by state security agencies, HD-CY.CON (currently) comprises data on 1265 cyber incidents from 2000 – 2019. The data set includes operations by states and various non-state-actors, both as attackers and victims. While existing cyber conflict datasets focus on generic categories, such as 'state or state-supported' cyber operations, the Heidelberg data set offers a more nuanced differentiation of political and technical attribution statements, including the attributing initiator and its characteristics. In addition, HD-CY.CON uses conflict categories of the Conflict Barometer by the Heidelberg Institute for International Conflict Research (HIIK), thus allowing a closer examination of interaction between between offline-, and online conflict dynamics. Cyber incidents are coded according to categories of the HD.CY-CON codebook and differentiated into three main incident types: data theft, disruption and hijacking. Moreover, they are accredited an intensity score, based on technical and socio-political indicators.","Subject":"Social Sciences","Keywords":"Cyber Conflict, Cyber Incident, Cyber Espionage, Attribution, Conflict Issues, Proxies"},{"pid":"doi:10.11588/data/KPY585","Title":"Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad' Description:'Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the other hand – investigate the mediating role of the Dark Triad with regard to gender differences in pro-environmental attitudes. Five-hundred-forty-eight participants took part in the study. Women compared to men justified meat-eating less and held more positive attitudes toward the environment. More importantly, we replicated the finding that the association between gender and meat-eating justification strategies was mediated by Machiavellianism. Additionally, the association between gender and pro-environmental attitudes was mediated by psychopathy. These findings support the idea that while Machiavellianism is an important mediator explaining gender differences in meat-eating justification strategies, psychopathy is able to explain gender differences in attitudes toward the environment.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Dark Triad; environmental attitudes; gender differences; Machiavellianism; meat-eating justification; psychopathy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad' Description:'Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the other hand – investigate the mediating role of the Dark Triad with regard to gender differences in pro-environmental attitudes. Five-hundred-forty-eight participants took part in the study. Women compared to men justified meat-eating less and held more positive attitudes toward the environment. More importantly, we replicated the finding that the association between gender and meat-eating justification strategies was mediated by Machiavellianism. Additionally, the association between gender and pro-environmental attitudes was mediated by psychopathy. These findings support the idea that while Machiavellianism is an important mediator explaining gender differences in meat-eating justification strategies, psychopathy is able to explain gender differences in attitudes toward the environment.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the other hand – investigate the mediating role of the Dark Triad with regard to gender differences in pro-environmental attitudes. Five-hundred-forty-eight participants took part in the study. Women compared to men justified meat-eating less and held more positive attitudes toward the environment. More importantly, we replicated the finding that the association between gender and meat-eating justification strategies was mediated by Machiavellianism. Additionally, the association between gender and pro-environmental attitudes was mediated by psychopathy. These findings support the idea that while Machiavellianism is an important mediator explaining gender differences in meat-eating justification strategies, psychopathy is able to explain gender differences in attitudes toward the environment.","Subject":"Social Sciences","Keywords":"Dark Triad; environmental attitudes; gender differences; Machiavellianism; meat-eating justification; psychopathy"},{"pid":"doi:10.11588/data/LYWYGN","Title":"Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]' Description:'Empirical findings predominantly support a happiness superiority effect in visual search and emotion categorization paradigms and reveal that social cues, like sex and race, moderate this advantage. A more recent study showed that the facial attribute attractiveness also influences the accuracy and speed of emotion perception. In the current study, we investigated whether the influence of attractiveness on emotion perception translates into a more general evaluation of moods when more than one emotional target is presented. In two experiments, we used the mood-of-the-crowd (MoC) task to investigate whether attractive crowds are perceived more positively compared to less attractive crowds. The task was to decide whether an array of faces included more angry or more happy faces. Furthermore, we recorded gaze movements to test the assumption that fixations on happy expressions occur more often in attractive crowds. Thirty-four participants took part in experiment 1 as well as in experiment 2. In both experiments, crowds presenting attractive faces were judged as being happy more frequently whereas the reverse pattern was found for unattractive crowds of faces. Moreover, participants were faster and more accurate when evaluating attractive crowds containing more happy faces as well as when judging unattractive crowds composed of more angry expressions. Additionally, in experiment 1, there were more fixations on happy compared to angry expressions in attractive crowds. Overall, the present findings support the assumption that attractiveness moderates emotion perception.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {attractiveness; emotion perception; evaluative congruence account; gaze movement; visual search+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]' Description:'Empirical findings predominantly support a happiness superiority effect in visual search and emotion categorization paradigms and reveal that social cues, like sex and race, moderate this advantage. A more recent study showed that the facial attribute attractiveness also influences the accuracy and speed of emotion perception. In the current study, we investigated whether the influence of attractiveness on emotion perception translates into a more general evaluation of moods when more than one emotional target is presented. In two experiments, we used the mood-of-the-crowd (MoC) task to investigate whether attractive crowds are perceived more positively compared to less attractive crowds. The task was to decide whether an array of faces included more angry or more happy faces. Furthermore, we recorded gaze movements to test the assumption that fixations on happy expressions occur more often in attractive crowds. Thirty-four participants took part in experiment 1 as well as in experiment 2. In both experiments, crowds presenting attractive faces were judged as being happy more frequently whereas the reverse pattern was found for unattractive crowds of faces. Moreover, participants were faster and more accurate when evaluating attractive crowds containing more happy faces as well as when judging unattractive crowds composed of more angry expressions. Additionally, in experiment 1, there were more fixations on happy compared to angry expressions in attractive crowds. Overall, the present findings support the assumption that attractiveness moderates emotion perception.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Empirical findings predominantly support a happiness superiority effect in visual search and emotion categorization paradigms and reveal that social cues, like sex and race, moderate this advantage. A more recent study showed that the facial attribute attractiveness also influences the accuracy and speed of emotion perception. In the current study, we investigated whether the influence of attractiveness on emotion perception translates into a more general evaluation of moods when more than one emotional target is presented. In two experiments, we used the mood-of-the-crowd (MoC) task to investigate whether attractive crowds are perceived more positively compared to less attractive crowds. The task was to decide whether an array of faces included more angry or more happy faces. Furthermore, we recorded gaze movements to test the assumption that fixations on happy expressions occur more often in attractive crowds. Thirty-four participants took part in experiment 1 as well as in experiment 2. In both experiments, crowds presenting attractive faces were judged as being happy more frequently whereas the reverse pattern was found for unattractive crowds of faces. Moreover, participants were faster and more accurate when evaluating attractive crowds containing more happy faces as well as when judging unattractive crowds composed of more angry expressions. Additionally, in experiment 1, there were more fixations on happy compared to angry expressions in attractive crowds. Overall, the present findings support the assumption that attractiveness moderates emotion perception.","Subject":"Social Sciences","Keywords":"attractiveness; emotion perception; evaluative congruence account; gaze movement; visual search"},{"pid":"doi:10.11588/data/M2TSIT","Title":"Neither Carrots nor Sticks? Challenges surrounding Data Sharing from the Perspective of Research Funding Agencies – A Qualitative Expert Interview Study [Interview Excerpts]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Neither Carrots nor Sticks? Challenges surrounding Data Sharing from the Perspective of Research Funding Agencies – A Qualitative Expert Interview Study [Interview Excerpts]' Description:'This dataset contains summaries from interviews with data sharing experts from internationa funding agencies on their organisation's data sharing policy.Data Sharing is widely recognised as crucial for accelerating scientific research and improving its quality. However, data sharing is still not a common practice. Funding agencies tend to facilitate the sharing of research data by both providing incentives and requiring data sharing as part of their policies and conditions for awarding grants. The goal of our article is to answer the following question: What challenges do international funding agencies see when it comes to their own efforts to foster and implement data sharing through their policies?We conducted a series of sixteen guideline-based expert interviews with representatives of leading international funding agencies. As contact persons for open science at their respective agencies, they offered their perspectives and experiences concerning their organisations’ data sharing policies. We performed a qualitative content analysis of the interviews and categorised the challenges perceived by funding agencies.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Data Management; Data Sharing; Data Sharing Policies; FAIR Data; Interview study; Qualitative content analysis; Research funders; Research funding agencies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Neither Carrots nor Sticks? Challenges surrounding Data Sharing from the Perspective of Research Funding Agencies – A Qualitative Expert Interview Study [Interview Excerpts]' Description:'This dataset contains summaries from interviews with data sharing experts from internationa funding agencies on their organisation's data sharing policy.Data Sharing is widely recognised as crucial for accelerating scientific research and improving its quality. However, data sharing is still not a common practice. Funding agencies tend to facilitate the sharing of research data by both providing incentives and requiring data sharing as part of their policies and conditions for awarding grants. The goal of our article is to answer the following question: What challenges do international funding agencies see when it comes to their own efforts to foster and implement data sharing through their policies?We conducted a series of sixteen guideline-based expert interviews with representatives of leading international funding agencies. As contact persons for open science at their respective agencies, they offered their perspectives and experiences concerning their organisations’ data sharing policies. We performed a qualitative content analysis of the interviews and categorised the challenges perceived by funding agencies.' Subject:'Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains summaries from interviews with data sharing experts from internationa funding agencies on their organisation's data sharing policy.Data Sharing is widely recognised as crucial for accelerating scientific research and improving its quality. However, data sharing is still not a common practice. Funding agencies tend to facilitate the sharing of research data by both providing incentives and requiring data sharing as part of their policies and conditions for awarding grants. The goal of our article is to answer the following question: What challenges do international funding agencies see when it comes to their own efforts to foster and implement data sharing through their policies?We conducted a series of sixteen guideline-based expert interviews with representatives of leading international funding agencies. As contact persons for open science at their respective agencies, they offered their perspectives and experiences concerning their organisations’ data sharing policies. We performed a qualitative content analysis of the interviews and categorised the challenges perceived by funding agencies.","Subject":" Social Sciences","Keywords":"Data Management; Data Sharing; Data Sharing Policies; FAIR Data; Interview study; Qualitative content analysis; Research funders; Research funding agencies"},{"pid":"doi:10.11588/data/M824IQ","Title":"How stressful are economic competitions in the lab? An investigation with physiological measures [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'How stressful are economic competitions in the lab? An investigation with physiological measures [Dataset]' Description:'Behavioral and physiological data related to the paper 'How stressful are economic competitions in the lab?'' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Competition; Cortisol; Decision making; Heart rate; Stress; Testosterone+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'How stressful are economic competitions in the lab? An investigation with physiological measures [Dataset]' Description:'Behavioral and physiological data related to the paper 'How stressful are economic competitions in the lab?'' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Behavioral and physiological data related to the paper 'How stressful are economic competitions in the lab?'","Subject":"Social Sciences","Keywords":"Competition; Cortisol; Decision making; Heart rate; Stress; Testosterone"},{"pid":"doi:10.11588/data/MES8FE","Title":"Judging the mood of the crowd: Attention is focused on happy faces [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Judging the mood of the crowd: Attention is focused on happy faces [Dataset]' Description:'Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity and leads to ambiguous results. In the present paper, we introduce a new task, the mood-of-the-crowd (MoC) paradigm that can complement existing FiC findings. In the new task, participants have to decide which expression is shown by most faces in a crowd. In Experiment 1, photographs were used as stimuli, whereas computer-generated faces were presented in Experiment 2. While in the first experiments either happy and neutral or angry and neutral emotions were shown within one crowd, in Experiment 3, crowds were composed of angry and happy faces. Gaze position was recorded to gain further insights on attentional processes. In the first experiment, happy moods were identified faster and with a higher accuracy. Although we could only find higher accuracy rates for happy moods in experiment 2, happy faces were fixated more frequently indicating faster processing of more information in the same amount of time. A higher proportion of fixations and first fixation on happy faces occurred in experiment 3. Moreover, target gender was found to be an important moderator. In female crowds, emotion was generally assessed more accurately. Additionally, while emotional faces were overall focused more often than neutral faces, this effect was more pronounced in female crowds. The same pattern emerged in the comparison of happy vs. angry faces: Female happy faces had the highest probability to attract attention. The close connection between femininity and emotionality or rather happiness is discussed as a possible reason for these findings.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {anger superiority; emotional expressions; happiness superiority; mood-of-the-crowd effect; visual search+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Judging the mood of the crowd: Attention is focused on happy faces [Dataset]' Description:'Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity and leads to ambiguous results. In the present paper, we introduce a new task, the mood-of-the-crowd (MoC) paradigm that can complement existing FiC findings. In the new task, participants have to decide which expression is shown by most faces in a crowd. In Experiment 1, photographs were used as stimuli, whereas computer-generated faces were presented in Experiment 2. While in the first experiments either happy and neutral or angry and neutral emotions were shown within one crowd, in Experiment 3, crowds were composed of angry and happy faces. Gaze position was recorded to gain further insights on attentional processes. In the first experiment, happy moods were identified faster and with a higher accuracy. Although we could only find higher accuracy rates for happy moods in experiment 2, happy faces were fixated more frequently indicating faster processing of more information in the same amount of time. A higher proportion of fixations and first fixation on happy faces occurred in experiment 3. Moreover, target gender was found to be an important moderator. In female crowds, emotion was generally assessed more accurately. Additionally, while emotional faces were overall focused more often than neutral faces, this effect was more pronounced in female crowds. The same pattern emerged in the comparison of happy vs. angry faces: Female happy faces had the highest probability to attract attention. The close connection between femininity and emotionality or rather happiness is discussed as a possible reason for these findings.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity and leads to ambiguous results. In the present paper, we introduce a new task, the mood-of-the-crowd (MoC) paradigm that can complement existing FiC findings. In the new task, participants have to decide which expression is shown by most faces in a crowd. In Experiment 1, photographs were used as stimuli, whereas computer-generated faces were presented in Experiment 2. While in the first experiments either happy and neutral or angry and neutral emotions were shown within one crowd, in Experiment 3, crowds were composed of angry and happy faces. Gaze position was recorded to gain further insights on attentional processes. In the first experiment, happy moods were identified faster and with a higher accuracy. Although we could only find higher accuracy rates for happy moods in experiment 2, happy faces were fixated more frequently indicating faster processing of more information in the same amount of time. A higher proportion of fixations and first fixation on happy faces occurred in experiment 3. Moreover, target gender was found to be an important moderator. In female crowds, emotion was generally assessed more accurately. Additionally, while emotional faces were overall focused more often than neutral faces, this effect was more pronounced in female crowds. The same pattern emerged in the comparison of happy vs. angry faces: Female happy faces had the highest probability to attract attention. The close connection between femininity and emotionality or rather happiness is discussed as a possible reason for these findings.","Subject":"Social Sciences","Keywords":"anger superiority; emotional expressions; happiness superiority; mood-of-the-crowd effect; visual search"},{"pid":"doi:10.11588/data/MES8FE","Title":"Judging the mood of the crowd: Attention is focused on happy faces [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Judging the mood of the crowd: Attention is focused on happy faces [Dataset]' Description:'Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity and leads to ambiguous results. In the present paper, we introduce a new task, the mood-of-the-crowd (MoC) paradigm that can complement existing FiC findings. In the new task, participants have to decide which expression is shown by most faces in a crowd. In Experiment 1, photographs were used as stimuli, whereas computer-generated faces were presented in Experiment 2. While in the first experiments either happy and neutral or angry and neutral emotions were shown within one crowd, in Experiment 3, crowds were composed of angry and happy faces. Gaze position was recorded to gain further insights on attentional processes. In the first experiment, happy moods were identified faster and with a higher accuracy. Although we could only find higher accuracy rates for happy moods in experiment 2, happy faces were fixated more frequently indicating faster processing of more information in the same amount of time. A higher proportion of fixations and first fixation on happy faces occurred in experiment 3. Moreover, target gender was found to be an important moderator. In female crowds, emotion was generally assessed more accurately. Additionally, while emotional faces were overall focused more often than neutral faces, this effect was more pronounced in female crowds. The same pattern emerged in the comparison of happy vs. angry faces: Female happy faces had the highest probability to attract attention. The close connection between femininity and emotionality or rather happiness is discussed as a possible reason for these findings.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {anger superiority; emotional expressions; happiness superiority; mood-of-the-crowd effect; visual search+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Judging the mood of the crowd: Attention is focused on happy faces [Dataset]' Description:'Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity and leads to ambiguous results. In the present paper, we introduce a new task, the mood-of-the-crowd (MoC) paradigm that can complement existing FiC findings. In the new task, participants have to decide which expression is shown by most faces in a crowd. In Experiment 1, photographs were used as stimuli, whereas computer-generated faces were presented in Experiment 2. While in the first experiments either happy and neutral or angry and neutral emotions were shown within one crowd, in Experiment 3, crowds were composed of angry and happy faces. Gaze position was recorded to gain further insights on attentional processes. In the first experiment, happy moods were identified faster and with a higher accuracy. Although we could only find higher accuracy rates for happy moods in experiment 2, happy faces were fixated more frequently indicating faster processing of more information in the same amount of time. A higher proportion of fixations and first fixation on happy faces occurred in experiment 3. Moreover, target gender was found to be an important moderator. In female crowds, emotion was generally assessed more accurately. Additionally, while emotional faces were overall focused more often than neutral faces, this effect was more pronounced in female crowds. The same pattern emerged in the comparison of happy vs. angry faces: Female happy faces had the highest probability to attract attention. The close connection between femininity and emotionality or rather happiness is discussed as a possible reason for these findings.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity and leads to ambiguous results. In the present paper, we introduce a new task, the mood-of-the-crowd (MoC) paradigm that can complement existing FiC findings. In the new task, participants have to decide which expression is shown by most faces in a crowd. In Experiment 1, photographs were used as stimuli, whereas computer-generated faces were presented in Experiment 2. While in the first experiments either happy and neutral or angry and neutral emotions were shown within one crowd, in Experiment 3, crowds were composed of angry and happy faces. Gaze position was recorded to gain further insights on attentional processes. In the first experiment, happy moods were identified faster and with a higher accuracy. Although we could only find higher accuracy rates for happy moods in experiment 2, happy faces were fixated more frequently indicating faster processing of more information in the same amount of time. A higher proportion of fixations and first fixation on happy faces occurred in experiment 3. Moreover, target gender was found to be an important moderator. In female crowds, emotion was generally assessed more accurately. Additionally, while emotional faces were overall focused more often than neutral faces, this effect was more pronounced in female crowds. The same pattern emerged in the comparison of happy vs. angry faces: Female happy faces had the highest probability to attract attention. The close connection between femininity and emotionality or rather happiness is discussed as a possible reason for these findings.","Subject":"Social Sciences","Keywords":"anger superiority; emotional expressions; happiness superiority; mood-of-the-crowd effect; visual search"},{"pid":"doi:10.11588/data/MHUGKP","Title":"Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]' Description:'We study whether people’s ambiguity attitudes differ when deciding for themselves or for others in the loss domain. We find no differences in ambiguity attitudes between self- and other-regarding decision-making. Our results are consistent with the loss part of the fourfold pattern of ambiguity attitudes.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambiguity attitudes; Decision-making for others; Losses and uncertainty+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]' Description:'We study whether people’s ambiguity attitudes differ when deciding for themselves or for others in the loss domain. We find no differences in ambiguity attitudes between self- and other-regarding decision-making. Our results are consistent with the loss part of the fourfold pattern of ambiguity attitudes.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study whether people’s ambiguity attitudes differ when deciding for themselves or for others in the loss domain. We find no differences in ambiguity attitudes between self- and other-regarding decision-making. Our results are consistent with the loss part of the fourfold pattern of ambiguity attitudes.","Subject":"Social Sciences","Keywords":"Ambiguity attitudes; Decision-making for others; Losses and uncertainty"},{"pid":"doi:10.11588/data/MHUGKP","Title":"Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]' Description:'We study whether people’s ambiguity attitudes differ when deciding for themselves or for others in the loss domain. We find no differences in ambiguity attitudes between self- and other-regarding decision-making. Our results are consistent with the loss part of the fourfold pattern of ambiguity attitudes.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambiguity attitudes; Decision-making for others; Losses and uncertainty+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]' Description:'We study whether people’s ambiguity attitudes differ when deciding for themselves or for others in the loss domain. We find no differences in ambiguity attitudes between self- and other-regarding decision-making. Our results are consistent with the loss part of the fourfold pattern of ambiguity attitudes.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We study whether people’s ambiguity attitudes differ when deciding for themselves or for others in the loss domain. We find no differences in ambiguity attitudes between self- and other-regarding decision-making. Our results are consistent with the loss part of the fourfold pattern of ambiguity attitudes.","Subject":"Social Sciences","Keywords":"Ambiguity attitudes; Decision-making for others; Losses and uncertainty"},{"pid":"doi:10.11588/data/MYFILV","Title":"Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description:'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ACE; Childhood Experiences; PCE; Psychotherapy Research+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description:'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.","Subject":" Social Sciences","Keywords":"ACE; Childhood Experiences; PCE; Psychotherapy Research"},{"pid":"doi:10.11588/data/PAMQ0B","Title":"Copy Trading [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Copy Trading [Dataset]' Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {copy trading; experiment; financial markets; imitation; social networks+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Copy Trading [Dataset]' Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.","Subject":" Social Sciences","Keywords":"copy trading; experiment; financial markets; imitation; social networks"},{"pid":"doi:10.11588/data/PJ8CJU","Title":"Religion, moral attitudes and economic behavior [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Religion, moral attitudes and economic behavior [Dataset]' Description:'Using data for a representative sample of the Dutch population with information aboutparticipants’ religious background, we study the association between religion and moral behavior and attitudes. We find that religious people are less accepting of unethical economic behavior (e.g., tax evasion, bribery) and report more volunteering. They are equally likely as non-religious people to betray trust in an experimental game, where social behavior is unobservable and not directed to a self-selected group of recipients. Religious people also report lower preference for redistribution. Considering differences between denominations, Catholics betray less than non-religious people, while Protestants betray more than Catholics and are indistinguishable from the non-religious. We also explore the intergenerational transmission and the potential causality of these associations.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ethics; Redistribution; Religion; Trust game+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Religion, moral attitudes and economic behavior [Dataset]' Description:'Using data for a representative sample of the Dutch population with information aboutparticipants’ religious background, we study the association between religion and moral behavior and attitudes. We find that religious people are less accepting of unethical economic behavior (e.g., tax evasion, bribery) and report more volunteering. They are equally likely as non-religious people to betray trust in an experimental game, where social behavior is unobservable and not directed to a self-selected group of recipients. Religious people also report lower preference for redistribution. Considering differences between denominations, Catholics betray less than non-religious people, while Protestants betray more than Catholics and are indistinguishable from the non-religious. We also explore the intergenerational transmission and the potential causality of these associations.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Using data for a representative sample of the Dutch population with information aboutparticipants’ religious background, we study the association between religion and moral behavior and attitudes. We find that religious people are less accepting of unethical economic behavior (e.g., tax evasion, bribery) and report more volunteering. They are equally likely as non-religious people to betray trust in an experimental game, where social behavior is unobservable and not directed to a self-selected group of recipients. Religious people also report lower preference for redistribution. Considering differences between denominations, Catholics betray less than non-religious people, while Protestants betray more than Catholics and are indistinguishable from the non-religious. We also explore the intergenerational transmission and the potential causality of these associations.","Subject":"Social Sciences","Keywords":"Ethics; Redistribution; Religion; Trust game"},{"pid":"doi:10.11588/data/PSMYRY","Title":"Aufweichen, abbremsen, abschirmen – Wirtschaftsmetaphern zwischen politischer Abgrenzung und diskursiven Allgemeinplätzen [Forschungsdaten]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Aufweichen, abbremsen, abschirmen – Wirtschaftsmetaphern zwischen politischer Abgrenzung und diskursiven Allgemeinplätzen [Forschungsdaten]' Description:'Our study examines the use of metaphors in the German discourse regarding European monetary and fiscal policy. Though this policy area sparked considerable interest among linguists, so far there is a lacuna concerning interdisciplinary comparative studies that examine metaphorical expressions in regard to their divergent political use. This study addresses this desideratum by posing two explorative research questions: Which metaphors shape the political debate on European monetary and fiscal policy? And is there a relationship between the divergent use of metaphors and the political perspective they entail?As a means to examine these questions, we develop an innovative methodological triangulation that combines qualitative, hermeneutic metaphorical analyses with quantitative, data-driven approaches of corpus linguistics. By analyzing the communication of eleven political actors during three formative debates on Eurozone policy, we isolate the most salient metaphors and compare their political usage.Our results bring forth four types of metaphorical expression. These can be distinguished by their relative openness in concern to political perspective and their respective referent. Thereby, this study firstly provides an important guide to understanding the debate at hand; secondly, it sharpens the theoretical grasp in concern to the comprehension of political metaphors as a whole; and thirdly, we contribute a notable stake to the methodical study of metaphorical expressions in the field of applied linguistics.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {corpus linguistics; discourse analysis; European debt crisis; metaphorical expressions; political communication; political linguistics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Aufweichen, abbremsen, abschirmen – Wirtschaftsmetaphern zwischen politischer Abgrenzung und diskursiven Allgemeinplätzen [Forschungsdaten]' Description:'Our study examines the use of metaphors in the German discourse regarding European monetary and fiscal policy. Though this policy area sparked considerable interest among linguists, so far there is a lacuna concerning interdisciplinary comparative studies that examine metaphorical expressions in regard to their divergent political use. This study addresses this desideratum by posing two explorative research questions: Which metaphors shape the political debate on European monetary and fiscal policy? And is there a relationship between the divergent use of metaphors and the political perspective they entail?As a means to examine these questions, we develop an innovative methodological triangulation that combines qualitative, hermeneutic metaphorical analyses with quantitative, data-driven approaches of corpus linguistics. By analyzing the communication of eleven political actors during three formative debates on Eurozone policy, we isolate the most salient metaphors and compare their political usage.Our results bring forth four types of metaphorical expression. These can be distinguished by their relative openness in concern to political perspective and their respective referent. Thereby, this study firstly provides an important guide to understanding the debate at hand; secondly, it sharpens the theoretical grasp in concern to the comprehension of political metaphors as a whole; and thirdly, we contribute a notable stake to the methodical study of metaphorical expressions in the field of applied linguistics.' Subject:'Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Our study examines the use of metaphors in the German discourse regarding European monetary and fiscal policy. Though this policy area sparked considerable interest among linguists, so far there is a lacuna concerning interdisciplinary comparative studies that examine metaphorical expressions in regard to their divergent political use. This study addresses this desideratum by posing two explorative research questions: Which metaphors shape the political debate on European monetary and fiscal policy? And is there a relationship between the divergent use of metaphors and the political perspective they entail?As a means to examine these questions, we develop an innovative methodological triangulation that combines qualitative, hermeneutic metaphorical analyses with quantitative, data-driven approaches of corpus linguistics. By analyzing the communication of eleven political actors during three formative debates on Eurozone policy, we isolate the most salient metaphors and compare their political usage.Our results bring forth four types of metaphorical expression. These can be distinguished by their relative openness in concern to political perspective and their respective referent. Thereby, this study firstly provides an important guide to understanding the debate at hand; secondly, it sharpens the theoretical grasp in concern to the comprehension of political metaphors as a whole; and thirdly, we contribute a notable stake to the methodical study of metaphorical expressions in the field of applied linguistics.","Subject":" Social Sciences","Keywords":"corpus linguistics; discourse analysis; European debt crisis; metaphorical expressions; political communication; political linguistics"},{"pid":"doi:10.11588/data/PVQVWW","Title":"What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]' Description:'This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean energy transition. Can we identify a set of domestic-level variables that explain the member states’ participation across different CEM initiatives? And can we identify clusters of CEM initiatives for which the same set of domestic-level variables provide robust explanations? Theoretically, we concentrate on domestic factors and how these explain engagement patterns in high-level global forums. Our findings for 12 initiatives show that there is no single domestic factor that explains engagement levels equally well for all CEM initiatives. Our overarching finding is that the domestic determinants of engagement vary across the initiatives, suggesting that future research should attend more closely to their specific features.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Clean energy transition; climate change governance; domestic factors; ministers; ministries; polycentricity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]' Description:'This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean energy transition. Can we identify a set of domestic-level variables that explain the member states’ participation across different CEM initiatives? And can we identify clusters of CEM initiatives for which the same set of domestic-level variables provide robust explanations? Theoretically, we concentrate on domestic factors and how these explain engagement patterns in high-level global forums. Our findings for 12 initiatives show that there is no single domestic factor that explains engagement levels equally well for all CEM initiatives. Our overarching finding is that the domestic determinants of engagement vary across the initiatives, suggesting that future research should attend more closely to their specific features.' Subject:'Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean energy transition. Can we identify a set of domestic-level variables that explain the member states’ participation across different CEM initiatives? And can we identify clusters of CEM initiatives for which the same set of domestic-level variables provide robust explanations? Theoretically, we concentrate on domestic factors and how these explain engagement patterns in high-level global forums. Our findings for 12 initiatives show that there is no single domestic factor that explains engagement levels equally well for all CEM initiatives. Our overarching finding is that the domestic determinants of engagement vary across the initiatives, suggesting that future research should attend more closely to their specific features.","Subject":" Social Sciences","Keywords":"Clean energy transition; climate change governance; domestic factors; ministers; ministries; polycentricity"},{"pid":"doi:10.11588/data/QHN1KT","Title":"The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset]' Description:'We present a new and simple mechanism for repeated public good environments. In the Binary Conditional Contribution Mechanism (BCCM), every agent's message has the form, “I am willing to contribute to the public good if at least k agents contribute in total.” This mechanism offers agents risk-free strategies, which we call unexploitable. We prove that if agents choose unexploitable messages in a Better Response Dynamics model, all stable outcomes of the BCCM are Pareto efficient. We conduct a laboratory experiment to investigate whether observed behavior is consistent with this prediction. Subjects play the BCCM in an environment with completeinformation and homogeneous valuations or in a second environment with incomplete information and heterogeneous valuations. In both cases all stable outcomes in the experiment are in line with the prediction of the dynamic model. Furthermore, comparison treatments with the Voluntary Contribution Mechanism show that the BCCM leads to significantly higher contribution rates.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Better response dynamics; Experimental economics; Mechanism design; Public goods+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset]' Description:'We present a new and simple mechanism for repeated public good environments. In the Binary Conditional Contribution Mechanism (BCCM), every agent's message has the form, “I am willing to contribute to the public good if at least k agents contribute in total.” This mechanism offers agents risk-free strategies, which we call unexploitable. We prove that if agents choose unexploitable messages in a Better Response Dynamics model, all stable outcomes of the BCCM are Pareto efficient. We conduct a laboratory experiment to investigate whether observed behavior is consistent with this prediction. Subjects play the BCCM in an environment with completeinformation and homogeneous valuations or in a second environment with incomplete information and heterogeneous valuations. In both cases all stable outcomes in the experiment are in line with the prediction of the dynamic model. Furthermore, comparison treatments with the Voluntary Contribution Mechanism show that the BCCM leads to significantly higher contribution rates.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We present a new and simple mechanism for repeated public good environments. In the Binary Conditional Contribution Mechanism (BCCM), every agent's message has the form, “I am willing to contribute to the public good if at least k agents contribute in total.” This mechanism offers agents risk-free strategies, which we call unexploitable. We prove that if agents choose unexploitable messages in a Better Response Dynamics model, all stable outcomes of the BCCM are Pareto efficient. We conduct a laboratory experiment to investigate whether observed behavior is consistent with this prediction. Subjects play the BCCM in an environment with completeinformation and homogeneous valuations or in a second environment with incomplete information and heterogeneous valuations. In both cases all stable outcomes in the experiment are in line with the prediction of the dynamic model. Furthermore, comparison treatments with the Voluntary Contribution Mechanism show that the BCCM leads to significantly higher contribution rates.","Subject":"Social Sciences","Keywords":"Better response dynamics; Experimental economics; Mechanism design; Public goods"},{"pid":"doi:10.11588/data/QV5HAH","Title":"Inequality, fairness and social capital [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Inequality, fairness and social capital [Dataset]' Description:'Inequality is often associated with negative societal consequences, but identifying a causal relationship is a daunting task. We provide evidence on the impact of unjust economic inequality on social interactions. Using a large-scale controlled experiment, we document that unjust inequality results in a significant decline in trust and trustworthiness. This erosion of social capital is associated with pessimistic beliefs about others’ behavior and is muted if there is no direct link between the income-generating process and social interaction. Finally, our data do not support the view that higher status or wealth affects prosocial attitudes: the successful are always more generous, whereas unsuccessful persons display the least efficient and generous behavior regardless of the status of the person who they interact with.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Experiment; Fairness; Inequality; Social capital+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Inequality, fairness and social capital [Dataset]' Description:'Inequality is often associated with negative societal consequences, but identifying a causal relationship is a daunting task. We provide evidence on the impact of unjust economic inequality on social interactions. Using a large-scale controlled experiment, we document that unjust inequality results in a significant decline in trust and trustworthiness. This erosion of social capital is associated with pessimistic beliefs about others’ behavior and is muted if there is no direct link between the income-generating process and social interaction. Finally, our data do not support the view that higher status or wealth affects prosocial attitudes: the successful are always more generous, whereas unsuccessful persons display the least efficient and generous behavior regardless of the status of the person who they interact with.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Inequality is often associated with negative societal consequences, but identifying a causal relationship is a daunting task. We provide evidence on the impact of unjust economic inequality on social interactions. Using a large-scale controlled experiment, we document that unjust inequality results in a significant decline in trust and trustworthiness. This erosion of social capital is associated with pessimistic beliefs about others’ behavior and is muted if there is no direct link between the income-generating process and social interaction. Finally, our data do not support the view that higher status or wealth affects prosocial attitudes: the successful are always more generous, whereas unsuccessful persons display the least efficient and generous behavior regardless of the status of the person who they interact with.","Subject":"Social Sciences","Keywords":"Experiment; Fairness; Inequality; Social capital"},{"pid":"doi:10.11588/data/QWSS8L","Title":"Groups discipline resource use under scarcity [Dataset, Instructions, and Replication files]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Groups discipline resource use under scarcity [Dataset, Instructions, and Replication files]' Description:'Resource scarcity sharpens the conflict between short term gains and long term sustainability. Psychological research documents that decision makers focus on immediate needs under scarcity. While decision makers use available resources most effectively, they also borrow too much from future resources. Overall performance decreases as a consequence. Using an online experiment, we study how scarcity affects borrowing decisions in groups. We show that the negative effect of scarcity is weaker for groups than for individuals. Even in our minimal design that excludes direct interaction or communication, the fact that participants know that their own behavior affects another participant disciplines their use of scarce resources. Our results thus highlight the benefit of groups as units of human organization.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Behavioral Experiment; Group Decisions; Resource Scarcity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Groups discipline resource use under scarcity [Dataset, Instructions, and Replication files]' Description:'Resource scarcity sharpens the conflict between short term gains and long term sustainability. Psychological research documents that decision makers focus on immediate needs under scarcity. While decision makers use available resources most effectively, they also borrow too much from future resources. Overall performance decreases as a consequence. Using an online experiment, we study how scarcity affects borrowing decisions in groups. We show that the negative effect of scarcity is weaker for groups than for individuals. Even in our minimal design that excludes direct interaction or communication, the fact that participants know that their own behavior affects another participant disciplines their use of scarce resources. Our results thus highlight the benefit of groups as units of human organization.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Resource scarcity sharpens the conflict between short term gains and long term sustainability. Psychological research documents that decision makers focus on immediate needs under scarcity. While decision makers use available resources most effectively, they also borrow too much from future resources. Overall performance decreases as a consequence. Using an online experiment, we study how scarcity affects borrowing decisions in groups. We show that the negative effect of scarcity is weaker for groups than for individuals. Even in our minimal design that excludes direct interaction or communication, the fact that participants know that their own behavior affects another participant disciplines their use of scarce resources. Our results thus highlight the benefit of groups as units of human organization.","Subject":"Social Sciences","Keywords":"Behavioral Experiment; Group Decisions; Resource Scarcity"},{"pid":"doi:10.11588/data/R1CRC4","Title":"The Value of Verbal Feedback in Allocation Decisions [Online Appendix and Replication Package]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Value of Verbal Feedback in Allocation Decisions [Online Appendix and Replication Package]' Description:'Depending on the context at hand, people’s preference for receiving feedback might differ. Especially in allocation decisions that directly concern another individual, feedback from the affected person can have positive or negative value. We study such preferences in a laboratory experiment by eliciting the willingness-to-pay to receive or to avoid verbal feedback from subjects that were previously affected by an allocation decision. We find that most decision makers exhibit a positive willingness-to-pay for having control about whether feedback occurs or not. Specifically, decision makers that shared their endowment with the recipient equally revealed a positive willingness-to-pay for receiving, but not for avoiding feedback. By contrast, among decision makers that behaved selfishly, we identify both: subjects that were willing to pay for receiving and subjects that were willing to pay for avoiding feedback. The stated motivations indicate that curiosity, the desire to receive social approval and giving the recipient the chance to express his/her feelings are the main reasons for feedback acquisition, while shame and fear of negative feedback are the main reasons for avoidance.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {communication; curiosity; feedback; information avoidance; non-instrumental information; social preferences+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Value of Verbal Feedback in Allocation Decisions [Online Appendix and Replication Package]' Description:'Depending on the context at hand, people’s preference for receiving feedback might differ. Especially in allocation decisions that directly concern another individual, feedback from the affected person can have positive or negative value. We study such preferences in a laboratory experiment by eliciting the willingness-to-pay to receive or to avoid verbal feedback from subjects that were previously affected by an allocation decision. We find that most decision makers exhibit a positive willingness-to-pay for having control about whether feedback occurs or not. Specifically, decision makers that shared their endowment with the recipient equally revealed a positive willingness-to-pay for receiving, but not for avoiding feedback. By contrast, among decision makers that behaved selfishly, we identify both: subjects that were willing to pay for receiving and subjects that were willing to pay for avoiding feedback. The stated motivations indicate that curiosity, the desire to receive social approval and giving the recipient the chance to express his/her feelings are the main reasons for feedback acquisition, while shame and fear of negative feedback are the main reasons for avoidance.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Depending on the context at hand, people’s preference for receiving feedback might differ. Especially in allocation decisions that directly concern another individual, feedback from the affected person can have positive or negative value. We study such preferences in a laboratory experiment by eliciting the willingness-to-pay to receive or to avoid verbal feedback from subjects that were previously affected by an allocation decision. We find that most decision makers exhibit a positive willingness-to-pay for having control about whether feedback occurs or not. Specifically, decision makers that shared their endowment with the recipient equally revealed a positive willingness-to-pay for receiving, but not for avoiding feedback. By contrast, among decision makers that behaved selfishly, we identify both: subjects that were willing to pay for receiving and subjects that were willing to pay for avoiding feedback. The stated motivations indicate that curiosity, the desire to receive social approval and giving the recipient the chance to express his/her feelings are the main reasons for feedback acquisition, while shame and fear of negative feedback are the main reasons for avoidance.","Subject":"Social Sciences","Keywords":"communication; curiosity; feedback; information avoidance; non-instrumental information; social preferences"},{"pid":"doi:10.11588/data/R8HGIB","Title":"Climate policy commitment devices [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Climate policy commitment devices [Dataset]' Description:'We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interventions that provide a costly commitment device or reduce climate threshold uncertainty reduce resource extraction. We also study two conditions to assess the underlying social preferences and the viability of ecological dictatorship. Our results suggest that climate change policies that focus on investments that lock the economy into carbon-free energy sources provide an important commitment device in the intertemporal cooperation problem.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Climate game; Climate policy instruments; Experiments; Intertemporal cooperation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Climate policy commitment devices [Dataset]' Description:'We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interventions that provide a costly commitment device or reduce climate threshold uncertainty reduce resource extraction. We also study two conditions to assess the underlying social preferences and the viability of ecological dictatorship. Our results suggest that climate change policies that focus on investments that lock the economy into carbon-free energy sources provide an important commitment device in the intertemporal cooperation problem.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interventions that provide a costly commitment device or reduce climate threshold uncertainty reduce resource extraction. We also study two conditions to assess the underlying social preferences and the viability of ecological dictatorship. Our results suggest that climate change policies that focus on investments that lock the economy into carbon-free energy sources provide an important commitment device in the intertemporal cooperation problem.","Subject":"Social Sciences","Keywords":"Climate game; Climate policy instruments; Experiments; Intertemporal cooperation"},{"pid":"doi:10.11588/data/RNHJTE","Title":"Marriage, Parenthood and Social Network: Subjective Well-Being and Mental Health in Old Age [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Marriage, Parenthood and Social Network: Subjective Well-Being and Mental Health in Old Age [Dataset]' Description:'Parenthood, marital status and social networks have been shown to relate to the well-being and mental health of older people. Using a large sample of respondents aged 50 and older from 16 European countries, we identify the associations of well-being and mental health with family status. Making use of detailed social network data of the respondents, we also identify how different social support networks correlate with the well-being and health indicators. We observe positive associations for all network types, over and beyond any direct associations of family status with well-being. Results suggest that non-residential children are important providers of social support for their parents at older age.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {happiness; life satisfaction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Marriage, Parenthood and Social Network: Subjective Well-Being and Mental Health in Old Age [Dataset]' Description:'Parenthood, marital status and social networks have been shown to relate to the well-being and mental health of older people. Using a large sample of respondents aged 50 and older from 16 European countries, we identify the associations of well-being and mental health with family status. Making use of detailed social network data of the respondents, we also identify how different social support networks correlate with the well-being and health indicators. We observe positive associations for all network types, over and beyond any direct associations of family status with well-being. Results suggest that non-residential children are important providers of social support for their parents at older age.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Parenthood, marital status and social networks have been shown to relate to the well-being and mental health of older people. Using a large sample of respondents aged 50 and older from 16 European countries, we identify the associations of well-being and mental health with family status. Making use of detailed social network data of the respondents, we also identify how different social support networks correlate with the well-being and health indicators. We observe positive associations for all network types, over and beyond any direct associations of family status with well-being. Results suggest that non-residential children are important providers of social support for their parents at older age.","Subject":"Social Sciences","Keywords":"happiness; life satisfaction"},{"pid":"doi:10.11588/data/RTQIUG","Title":"Savage vs. Anscombe-Aumann: an experimental investigation of ambiguity frameworks [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Savage vs. Anscombe-Aumann: an experimental investigation of ambiguity frameworks [Dataset]' Description:'The Savage and the Anscombe–Aumann frameworks are the two most popularapproaches used when modeling ambiguity. The former is more flexible, but thelatter is often preferred for its simplicity. We conduct an experiment where subjectsplace bets on the joint outcome of an ambiguous urn and a fair coin. We documentthat more than a third of our subjects make choices that are incompatible withAnscombe–Aumann for any preferences, while the Savage framework is flexibleenough to account for subjects’ behaviors.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ambiguity; Ellsberg paradox; Experiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Savage vs. Anscombe-Aumann: an experimental investigation of ambiguity frameworks [Dataset]' Description:'The Savage and the Anscombe–Aumann frameworks are the two most popularapproaches used when modeling ambiguity. The former is more flexible, but thelatter is often preferred for its simplicity. We conduct an experiment where subjectsplace bets on the joint outcome of an ambiguous urn and a fair coin. We documentthat more than a third of our subjects make choices that are incompatible withAnscombe–Aumann for any preferences, while the Savage framework is flexibleenough to account for subjects’ behaviors.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Savage and the Anscombe–Aumann frameworks are the two most popularapproaches used when modeling ambiguity. The former is more flexible, but thelatter is often preferred for its simplicity. We conduct an experiment where subjectsplace bets on the joint outcome of an ambiguous urn and a fair coin. We documentthat more than a third of our subjects make choices that are incompatible withAnscombe–Aumann for any preferences, while the Savage framework is flexibleenough to account for subjects’ behaviors.","Subject":"Social Sciences","Keywords":"Ambiguity; Ellsberg paradox; Experiment"},{"pid":"doi:10.11588/data/SXWI6S","Title":"Jumping to Conclusion? A Lévy Flight Model of Decision Making [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Jumping to Conclusion? A Lévy Flight Model of Decision Making [Dataset]' Description:'The diffusion model is one of the most prominent response time models in cognitive psychology. The model describes evidence accumulation as a stochastic process that runs between two boundaries until a threshold is hit, and a decision is made. The model assumes that information accumulation follows a Wiener diffusion process with normally distributed noise. However, the model's assumption of Gaussian noise might not be the optimal description of decision making. We argue that Lévy flights, incorporating more heavy-tailed, non-Gaussian noise, might provide a more accurate description of actual decision processes. In contrast to diffusion processes, Lévy flights are characterized by larger jumps in the decision process. To further examine this proposal, we compare the fit of the basic diffusion model and the full diffusion model (including inter-trial variability of starting-point, drift rate and non-decisional processes) to the fit of a simple and a complex version of a Lévy flight model. In the latter model, the heavy-tailedness of noise distributions was estimated by an additional free stability parameter alpha. Participants completed 500 trials of a color discrimination task and 400 trials of a lexical decision task. Results indicate that a complex Lévy flight model -including inter-trial variability parameters and alpha- shows the best fit in both tasks. Importantly, alpha-values correlated across tasks, indicating a trait-like nature of this parameter.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {decision making; diffusion model; Lévy flights+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Jumping to Conclusion? A Lévy Flight Model of Decision Making [Dataset]' Description:'The diffusion model is one of the most prominent response time models in cognitive psychology. The model describes evidence accumulation as a stochastic process that runs between two boundaries until a threshold is hit, and a decision is made. The model assumes that information accumulation follows a Wiener diffusion process with normally distributed noise. However, the model's assumption of Gaussian noise might not be the optimal description of decision making. We argue that Lévy flights, incorporating more heavy-tailed, non-Gaussian noise, might provide a more accurate description of actual decision processes. In contrast to diffusion processes, Lévy flights are characterized by larger jumps in the decision process. To further examine this proposal, we compare the fit of the basic diffusion model and the full diffusion model (including inter-trial variability of starting-point, drift rate and non-decisional processes) to the fit of a simple and a complex version of a Lévy flight model. In the latter model, the heavy-tailedness of noise distributions was estimated by an additional free stability parameter alpha. Participants completed 500 trials of a color discrimination task and 400 trials of a lexical decision task. Results indicate that a complex Lévy flight model -including inter-trial variability parameters and alpha- shows the best fit in both tasks. Importantly, alpha-values correlated across tasks, indicating a trait-like nature of this parameter.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The diffusion model is one of the most prominent response time models in cognitive psychology. The model describes evidence accumulation as a stochastic process that runs between two boundaries until a threshold is hit, and a decision is made. The model assumes that information accumulation follows a Wiener diffusion process with normally distributed noise. However, the model's assumption of Gaussian noise might not be the optimal description of decision making. We argue that Lévy flights, incorporating more heavy-tailed, non-Gaussian noise, might provide a more accurate description of actual decision processes. In contrast to diffusion processes, Lévy flights are characterized by larger jumps in the decision process. To further examine this proposal, we compare the fit of the basic diffusion model and the full diffusion model (including inter-trial variability of starting-point, drift rate and non-decisional processes) to the fit of a simple and a complex version of a Lévy flight model. In the latter model, the heavy-tailedness of noise distributions was estimated by an additional free stability parameter alpha. Participants completed 500 trials of a color discrimination task and 400 trials of a lexical decision task. Results indicate that a complex Lévy flight model -including inter-trial variability parameters and alpha- shows the best fit in both tasks. Importantly, alpha-values correlated across tasks, indicating a trait-like nature of this parameter.","Subject":"Social Sciences","Keywords":"decision making; diffusion model; Lévy flights"},{"pid":"doi:10.11588/data/VYCCZI","Title":"Imitation under stress [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Imitation under stress [Dataset]' Description:'Imitation has been shown to be an important heuristic, in particular in relatively complex environments. In this experiment we test whether subjects are more likely to use imitation if they are under time pressure or distracted. Subjects play a repeated Cournot oligopoly. Treatments are time pressure within the task and distractions through a second task (a Stroop-task) that has to be performed as well and influences payment. We additionally measure stress levels through salivary cortisol and heart rate. Our main findings are that time pressure and distraction can raise physiological stress levels of subjects within our task. More importantly from an economic perspective, we can also observe a corresponding behavioral change that is indicative of imitation.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cortisol; Experiment; Heart rate; Imitation; Stress+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Imitation under stress [Dataset]' Description:'Imitation has been shown to be an important heuristic, in particular in relatively complex environments. In this experiment we test whether subjects are more likely to use imitation if they are under time pressure or distracted. Subjects play a repeated Cournot oligopoly. Treatments are time pressure within the task and distractions through a second task (a Stroop-task) that has to be performed as well and influences payment. We additionally measure stress levels through salivary cortisol and heart rate. Our main findings are that time pressure and distraction can raise physiological stress levels of subjects within our task. More importantly from an economic perspective, we can also observe a corresponding behavioral change that is indicative of imitation.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Imitation has been shown to be an important heuristic, in particular in relatively complex environments. In this experiment we test whether subjects are more likely to use imitation if they are under time pressure or distracted. Subjects play a repeated Cournot oligopoly. Treatments are time pressure within the task and distractions through a second task (a Stroop-task) that has to be performed as well and influences payment. We additionally measure stress levels through salivary cortisol and heart rate. Our main findings are that time pressure and distraction can raise physiological stress levels of subjects within our task. More importantly from an economic perspective, we can also observe a corresponding behavioral change that is indicative of imitation.","Subject":"Social Sciences","Keywords":"Cortisol; Experiment; Heart rate; Imitation; Stress"},{"pid":"doi:10.11588/data/WPWTWE","Title":"Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso [Dataset]' Description:'Background: Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade‑off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is complex though, especially in low‑income and low‑literacy communities.Methods: Using a large randomized experiment (N = 3027), we study methodological aspects of stated‑preference elicitation with payment cards (price lists) in an extreme poverty context. In a 2 × 2 design, we systematically vary whether buying or selling prices are measured, crossed with the range of the payment card.Results: We find substantial effects of both the pricing method and the list range on elicited VSLY. Estimates of the gross domestic product per capita multiplier for VSLY range from 3.5 to 33.5 depending on the study design. Importantly, all estimates are economically and statistically significantly larger than the current World Health Organization threshold of 3.0 for cost‑effectiveness analyses.Conclusions: Our results inform design choice in VSLY measurements, and provide insight into the potential variability of these measurements and possibly robustness checks.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Burkina Faso; Cost‑effectiveness; Extreme poverty; Health risks; Payment cards; Price lists; Value of statistical life year+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso [Dataset]' Description:'Background: Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade‑off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is complex though, especially in low‑income and low‑literacy communities.Methods: Using a large randomized experiment (N = 3027), we study methodological aspects of stated‑preference elicitation with payment cards (price lists) in an extreme poverty context. In a 2 × 2 design, we systematically vary whether buying or selling prices are measured, crossed with the range of the payment card.Results: We find substantial effects of both the pricing method and the list range on elicited VSLY. Estimates of the gross domestic product per capita multiplier for VSLY range from 3.5 to 33.5 depending on the study design. Importantly, all estimates are economically and statistically significantly larger than the current World Health Organization threshold of 3.0 for cost‑effectiveness analyses.Conclusions: Our results inform design choice in VSLY measurements, and provide insight into the potential variability of these measurements and possibly robustness checks.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Background: Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade‑off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is complex though, especially in low‑income and low‑literacy communities.Methods: Using a large randomized experiment (N = 3027), we study methodological aspects of stated‑preference elicitation with payment cards (price lists) in an extreme poverty context. In a 2 × 2 design, we systematically vary whether buying or selling prices are measured, crossed with the range of the payment card.Results: We find substantial effects of both the pricing method and the list range on elicited VSLY. Estimates of the gross domestic product per capita multiplier for VSLY range from 3.5 to 33.5 depending on the study design. Importantly, all estimates are economically and statistically significantly larger than the current World Health Organization threshold of 3.0 for cost‑effectiveness analyses.Conclusions: Our results inform design choice in VSLY measurements, and provide insight into the potential variability of these measurements and possibly robustness checks.","Subject":"Social Sciences","Keywords":"Burkina Faso; Cost‑effectiveness; Extreme poverty; Health risks; Payment cards; Price lists; Value of statistical life year"},{"pid":"doi:10.11588/data/ZAS2YZ","Title":"Strategic Migration Policy - HD.SMP 1.0 [research data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description:'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bilateral Migration Agreements; International Cooperation; International Relations; Migration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description:'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.","Subject":" Social Sciences","Keywords":"Bilateral Migration Agreements; International Cooperation; International Relations; Migration"},{"pid":"doi:10.11588/data/ZPTF1X","Title":"The conditional contribution mechanism for repeated public goods - The general case [Data & Replication package]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The conditional contribution mechanism for repeated public goods - The general case [Data & Replication package]' Description:'We present a new and simple mechanism for repeated public good environments. In the Conditional Contribution Mechanism (CCM), agents send two messages of the form, “I am willing to contribute x units to the public good if in total y units are contributed.” This mechanism offers agents risk-free strategies, which we call unexploitable. Our main theorem states that all outcomes of the CCM will eventually be Pareto efficient if agents choose unexploitable better responses. We conduct a laboratory experiment to investigate whether observed behavior is consistent with this prediction. In the complete information case we find that indeed almost 80% of outcomes are Pareto optimal. Furthermore, in comparison to the Voluntary Contribution Mechanism, the CCM leads to significantly higher contribution rates. Even under incomplete information, contributions are fairly high and do not deteriorate over time, although surprisingly the VCM does equally well in this case. Theoretically, allowing agents to send two messages helps them ensure the status-quo and at the same time offer higher contribution levels. In a further treatment, where we allow agents to send only one message, we find that total contributions are consistently lower than the CCM in early periods but are similar in later periods.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Better response dynamics; Experiment; Mechanism design; Public goods+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The conditional contribution mechanism for repeated public goods - The general case [Data & Replication package]' Description:'We present a new and simple mechanism for repeated public good environments. In the Conditional Contribution Mechanism (CCM), agents send two messages of the form, “I am willing to contribute x units to the public good if in total y units are contributed.” This mechanism offers agents risk-free strategies, which we call unexploitable. Our main theorem states that all outcomes of the CCM will eventually be Pareto efficient if agents choose unexploitable better responses. We conduct a laboratory experiment to investigate whether observed behavior is consistent with this prediction. In the complete information case we find that indeed almost 80% of outcomes are Pareto optimal. Furthermore, in comparison to the Voluntary Contribution Mechanism, the CCM leads to significantly higher contribution rates. Even under incomplete information, contributions are fairly high and do not deteriorate over time, although surprisingly the VCM does equally well in this case. Theoretically, allowing agents to send two messages helps them ensure the status-quo and at the same time offer higher contribution levels. In a further treatment, where we allow agents to send only one message, we find that total contributions are consistently lower than the CCM in early periods but are similar in later periods.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We present a new and simple mechanism for repeated public good environments. In the Conditional Contribution Mechanism (CCM), agents send two messages of the form, “I am willing to contribute x units to the public good if in total y units are contributed.” This mechanism offers agents risk-free strategies, which we call unexploitable. Our main theorem states that all outcomes of the CCM will eventually be Pareto efficient if agents choose unexploitable better responses. We conduct a laboratory experiment to investigate whether observed behavior is consistent with this prediction. In the complete information case we find that indeed almost 80% of outcomes are Pareto optimal. Furthermore, in comparison to the Voluntary Contribution Mechanism, the CCM leads to significantly higher contribution rates. Even under incomplete information, contributions are fairly high and do not deteriorate over time, although surprisingly the VCM does equally well in this case. Theoretically, allowing agents to send two messages helps them ensure the status-quo and at the same time offer higher contribution levels. In a further treatment, where we allow agents to send only one message, we find that total contributions are consistently lower than the CCM in early periods but are similar in later periods.","Subject":"Social Sciences","Keywords":"Better response dynamics; Experiment; Mechanism design; Public goods"},{"pid":"doi:10.15139/S3/0FMAPJ","Title":"Replication Data for: Conflict Environments and Civil War Onset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Conflict Environments and Civil War Onset' Description:'Replication files for 'Conflict Environments and Civil War' forthcoming in the Journal of Global Security Studies. Replication files include R files used to generate the Conflict Environment scores. (2020)' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Civil War; Conflict Environment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Conflict Environments and Civil War Onset' Description:'Replication files for 'Conflict Environments and Civil War' forthcoming in the Journal of Global Security Studies. Replication files include R files used to generate the Conflict Environment scores. (2020)' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication files for 'Conflict Environments and Civil War' forthcoming in the Journal of Global Security Studies. Replication files include R files used to generate the Conflict Environment scores. (2020)","Subject":"Social Sciences","Keywords":"Civil War; Conflict Environment"},{"pid":"doi:10.15139/S3/0P513I","Title":"The Real-U Follow-Up Study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Real-U Follow-Up Study' Description:'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {alcohol use; anxiety; COVID-19 coping; COVID-19 stressors; depression; drug use; mental health disorders; young adults+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Real-U Follow-Up Study' Description:'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.","Subject":" Social Sciences","Keywords":"alcohol use; anxiety; COVID-19 coping; COVID-19 stressors; depression; drug use; mental health disorders; young adults"},{"pid":"doi:10.15139/S3/0YBZVL","Title":"Paycheck Protection Program (PPP) loans","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Paycheck Protection Program (PPP) loans' Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' Subject:' Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Paycheck Protection Program (PPP) loans' Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.","Subject":" Social Sciences","Keywords":"paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA"},{"pid":"doi:10.15139/S3/12438","Title":"RLMS-HSE Longitudinal Data Files","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'RLMS-HSE Longitudinal Data Files' Description:'RLMS-HSE Longitudinal Household and Individual data files starting in 1994 and updated annually. These files contain variable and value labels in English. Use these files when possible instead of the cross-sectional files by year.' Subject:'Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cost of living; Welfare services+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'RLMS-HSE Longitudinal Data Files' Description:'RLMS-HSE Longitudinal Household and Individual data files starting in 1994 and updated annually. These files contain variable and value labels in English. Use these files when possible instead of the cross-sectional files by year.' Subject:'Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"RLMS-HSE Longitudinal Household and Individual data files starting in 1994 and updated annually. These files contain variable and value labels in English. Use these files when possible instead of the cross-sectional files by year.","Subject":"Social Sciences","Keywords":"Cost of living; Welfare services"},{"pid":"doi:10.18710/6JUYEY","Title":"Replication Data for: Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence' Description:'This dataset consists of metadata used for creating the visualizations accompanying our article “Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence”, to be published in July 2019.' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Digital Humanities; Early Modern History; Eighteenth-Century Studies; History of Astronomy; History of Religion; History of Science; Jesuit Studies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence' Description:'This dataset consists of metadata used for creating the visualizations accompanying our article “Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence”, to be published in July 2019.' Subject:'Arts and Humanities; Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset consists of metadata used for creating the visualizations accompanying our article “Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence”, to be published in July 2019.","Subject":" Astronomy and Astrophysics","Keywords":"Digital Humanities; Early Modern History; Eighteenth-Century Studies; History of Astronomy; History of Religion; History of Science; Jesuit Studies"},{"pid":"doi:10.18710/8POYRY","Title":"Replication data for 'Electrojet estimates from mesospheric magnetic field measurements'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Electrojet estimates from mesospheric magnetic field measurements'' Description:'Dataset used to develop and demonstrate inversion technique for electrojet based on simulated Zeeman magnetic field measurements from the mesosphere. The dataset contains 1) a file with detailed information about the data in the other files (00_ReadMe), 2) a dataset of MHD simulation output (including metadata ), and 3) a dataset of simulated Zeeman magnetic field observationsMore details are available in related publication' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; electrojet; magnetic field; zeeman+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Electrojet estimates from mesospheric magnetic field measurements'' Description:'Dataset used to develop and demonstrate inversion technique for electrojet based on simulated Zeeman magnetic field measurements from the mesosphere. The dataset contains 1) a file with detailed information about the data in the other files (00_ReadMe), 2) a dataset of MHD simulation output (including metadata ), and 3) a dataset of simulated Zeeman magnetic field observationsMore details are available in related publication' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset used to develop and demonstrate inversion technique for electrojet based on simulated Zeeman magnetic field measurements from the mesosphere. The dataset contains 1) a file with detailed information about the data in the other files (00_ReadMe), 2) a dataset of MHD simulation output (including metadata ), and 3) a dataset of simulated Zeeman magnetic field observationsMore details are available in related publication","Subject":"Astronomy and Astrophysics","Keywords":"aurora; electrojet; magnetic field; zeeman"},{"pid":"doi:10.18710/8POYRY","Title":"Replication data for 'Electrojet estimates from mesospheric magnetic field measurements'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Electrojet estimates from mesospheric magnetic field measurements'' Description:'The auroral electrojet is traditionally measured remotely with magnetometers on ground or in low Earth orbit (LEO). The sparse distribution of measurements, combined with a vertical distance of some 100 km to ground and typically >300 km to LEO satellites, means that smaller scale sizes can not be detected. Because of this, our understanding of the spatiotemporal characteristics of the electrojet is incomplete. Recent advances in measurement technology give hope of overcoming these limitations by multi-point remote detections of the magnetic field in the mesosphere, very close to the electrojet. We present a prediction of the magnitude of these disturbances, inferred from the spatiotemporal characteristics of magnetic field-aligned currents. We also discuss how a small satellite that carries Zeeman magnetic field sensors [Yee et al., 2020] could be used to essentially image the equivalent current at unprecedented spatial resolution. The electrojet imaging is demonstrated by combining carefully simulated measurements with a spherical elementary current representation using a novel inversion scheme.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; electrojet; magnetic field; zeeman+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Electrojet estimates from mesospheric magnetic field measurements'' Description:'The auroral electrojet is traditionally measured remotely with magnetometers on ground or in low Earth orbit (LEO). The sparse distribution of measurements, combined with a vertical distance of some 100 km to ground and typically >300 km to LEO satellites, means that smaller scale sizes can not be detected. Because of this, our understanding of the spatiotemporal characteristics of the electrojet is incomplete. Recent advances in measurement technology give hope of overcoming these limitations by multi-point remote detections of the magnetic field in the mesosphere, very close to the electrojet. We present a prediction of the magnitude of these disturbances, inferred from the spatiotemporal characteristics of magnetic field-aligned currents. We also discuss how a small satellite that carries Zeeman magnetic field sensors [Yee et al., 2020] could be used to essentially image the equivalent current at unprecedented spatial resolution. The electrojet imaging is demonstrated by combining carefully simulated measurements with a spherical elementary current representation using a novel inversion scheme.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The auroral electrojet is traditionally measured remotely with magnetometers on ground or in low Earth orbit (LEO). The sparse distribution of measurements, combined with a vertical distance of some 100 km to ground and typically >300 km to LEO satellites, means that smaller scale sizes can not be detected. Because of this, our understanding of the spatiotemporal characteristics of the electrojet is incomplete. Recent advances in measurement technology give hope of overcoming these limitations by multi-point remote detections of the magnetic field in the mesosphere, very close to the electrojet. We present a prediction of the magnitude of these disturbances, inferred from the spatiotemporal characteristics of magnetic field-aligned currents. We also discuss how a small satellite that carries Zeeman magnetic field sensors [Yee et al., 2020] could be used to essentially image the equivalent current at unprecedented spatial resolution. The electrojet imaging is demonstrated by combining carefully simulated measurements with a spherical elementary current representation using a novel inversion scheme.","Subject":"Astronomy and Astrophysics","Keywords":"aurora; electrojet; magnetic field; zeeman"},{"pid":"doi:10.18710/CVW8YU","Title":"Metadata serving as basis for illustrations of Maximilian Hell's network in the book 'Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe' by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Metadata serving as basis for illustrations of Maximilian Hell's network in the book 'Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe' by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020)' Description:'The book 'Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe' by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020) includes several illustrations, including one visualization of Hell's surviving correspondence and another of sites of observation recorded in the appendices of the Ephemerides Astronomicae ad Meridianum Vindobonensem, edited by Hell. The task of producing these visualizations was commisioned to Katalin Pataki, PhD Candidate at Central European University in Budapest. She also enriched the metadata to accommodate it to the technical requirements of the visualization tools used.' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Early Modern History; Eighteenth-Century Studies; History of Astronomy; History of Science; Jesuit Studies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Metadata serving as basis for illustrations of Maximilian Hell's network in the book 'Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe' by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020)' Description:'The book 'Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe' by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020) includes several illustrations, including one visualization of Hell's surviving correspondence and another of sites of observation recorded in the appendices of the Ephemerides Astronomicae ad Meridianum Vindobonensem, edited by Hell. The task of producing these visualizations was commisioned to Katalin Pataki, PhD Candidate at Central European University in Budapest. She also enriched the metadata to accommodate it to the technical requirements of the visualization tools used.' Subject:'Arts and Humanities; Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The book 'Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe' by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020) includes several illustrations, including one visualization of Hell's surviving correspondence and another of sites of observation recorded in the appendices of the Ephemerides Astronomicae ad Meridianum Vindobonensem, edited by Hell. The task of producing these visualizations was commisioned to Katalin Pataki, PhD Candidate at Central European University in Budapest. She also enriched the metadata to accommodate it to the technical requirements of the visualization tools used.","Subject":" Astronomy and Astrophysics","Keywords":"Early Modern History; Eighteenth-Century Studies; History of Astronomy; History of Science; Jesuit Studies"},{"pid":"doi:10.18710/YSDZF8","Title":"Replication data for 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar'' Description:'The EISCAT VHF 224 MHz radar data measuring the mesospheric heights and D region ionosphere used in the manuscript 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar' submitted for review are provided herein. The data discussed in the work are collected on 15 - 17 July 2019 and 09 - 10 August 2019. The radar spectrum in the frequency range of -333 to +333 Hz are provided. Also the outputs of optimized Gauss fits made to the spectrum are provided.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {EISCAT VHF radar; Energetic particle precipitations; Polar mesospheric summer echo; Radar spectrum+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar'' Description:'The EISCAT VHF 224 MHz radar data measuring the mesospheric heights and D region ionosphere used in the manuscript 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar' submitted for review are provided herein. The data discussed in the work are collected on 15 - 17 July 2019 and 09 - 10 August 2019. The radar spectrum in the frequency range of -333 to +333 Hz are provided. Also the outputs of optimized Gauss fits made to the spectrum are provided.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The EISCAT VHF 224 MHz radar data measuring the mesospheric heights and D region ionosphere used in the manuscript 'Effects of particle precipitation on the polar mesospheric summer echoes observed by EISCAT VHF 224 MHz radar' submitted for review are provided herein. The data discussed in the work are collected on 15 - 17 July 2019 and 09 - 10 August 2019. The radar spectrum in the frequency range of -333 to +333 Hz are provided. Also the outputs of optimized Gauss fits made to the spectrum are provided.","Subject":"Astronomy and Astrophysics","Keywords":"EISCAT VHF radar; Energetic particle precipitations; Polar mesospheric summer echo; Radar spectrum"},{"pid":"doi:10.18738/T8/4ARWAH","Title":"X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 MurchWhole)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 MurchWhole)' Description:'X-ray CT Scans of a meteorite (USNM 5487; CM2 chondrite meteorite) for Romy Hanna of the University of Texas DOGS. Specimen scanned by Romy Hanna and Richard Ketcham 28 February 2012.Voxel Size X and Y= 0.0537mm, Z= 0.05816 mm. Total final slices = 1016.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 MurchWhole)' Description:'X-ray CT Scans of a meteorite (USNM 5487; CM2 chondrite meteorite) for Romy Hanna of the University of Texas DOGS. Specimen scanned by Romy Hanna and Richard Ketcham 28 February 2012.Voxel Size X and Y= 0.0537mm, Z= 0.05816 mm. Total final slices = 1016.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of a meteorite (USNM 5487; CM2 chondrite meteorite) for Romy Hanna of the University of Texas DOGS. Specimen scanned by Romy Hanna and Richard Ketcham 28 February 2012.Voxel Size X and Y= 0.0537mm, Z= 0.05816 mm. Total final slices = 1016.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography"},{"pid":"doi:10.18738/T8/4TPCQC","Title":"The initial structure of chondrule dust rims I: electrically neutral grains","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The initial structure of chondrule dust rims I: electrically neutral grains' Description:'Publication on chondrule rims' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {chondrule+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The initial structure of chondrule dust rims I: electrically neutral grains' Description:'Publication on chondrule rims' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Publication on chondrule rims","Subject":"Astronomy and Astrophysics","Keywords":"chondrule"},{"pid":"doi:10.18738/T8/9CADFS","Title":"X-ray CT dataset of Martian shergottite LAR 12011,54","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT dataset of Martian shergottite LAR 12011,54' Description:'X-ray CT Scans of a chip of Martian shergottite LAR 12011 (LAR 12011,54) for Scott Eckley of the University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley at NASA - JSC on 3 January 2020.Voxel Size X, Y, and Z = 12.49 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography Shergottite LAR 12011+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT dataset of Martian shergottite LAR 12011,54' Description:'X-ray CT Scans of a chip of Martian shergottite LAR 12011 (LAR 12011,54) for Scott Eckley of the University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley at NASA - JSC on 3 January 2020.Voxel Size X, Y, and Z = 12.49 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of a chip of Martian shergottite LAR 12011 (LAR 12011,54) for Scott Eckley of the University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley at NASA - JSC on 3 January 2020.Voxel Size X, Y, and Z = 12.49 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography Shergottite LAR 12011"},{"pid":"doi:10.18738/T8/CPP7OC","Title":"Aggregate_builder_constant_population","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Aggregate_builder_constant_population' Description:'Aggregate Builder constant population -- uses a MC algorithm to select colliding pair based on the collision probability of all possible pairs. Chooses an elapsed time interval for each collision.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aggregation; dust charging; matlab+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Aggregate_builder_constant_population' Description:'Aggregate Builder constant population -- uses a MC algorithm to select colliding pair based on the collision probability of all possible pairs. Chooses an elapsed time interval for each collision.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Aggregate Builder constant population -- uses a MC algorithm to select colliding pair based on the collision probability of all possible pairs. Chooses an elapsed time interval for each collision.","Subject":"Astronomy and Astrophysics","Keywords":"aggregation; dust charging; matlab"},{"pid":"doi:10.18738/T8/CRBUOB","Title":"This is a test data set","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'This is a test data set' Description:'An effort at uploading a data set' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Satellite+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'This is a test data set' Description:'An effort at uploading a data set' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"An effort at uploading a data set","Subject":"Astronomy and Astrophysics","Keywords":"Satellite"},{"pid":"doi:10.18738/T8/CYFTOT","Title":"X-ray CT dataset of Martian shergottite LAR 12095,40","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT dataset of Martian shergottite LAR 12095,40' Description:'X-ray CT Scans of a chip of Martian shergottite LAR 12095 (LAR 12095,40) for Scott Eckley of The University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley at NASA - JSC on 3 January 2020. Voxel Size X, Y, and Z = 8.57 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography Shergottite LAR 12095+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT dataset of Martian shergottite LAR 12095,40' Description:'X-ray CT Scans of a chip of Martian shergottite LAR 12095 (LAR 12095,40) for Scott Eckley of The University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley at NASA - JSC on 3 January 2020. Voxel Size X, Y, and Z = 8.57 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of a chip of Martian shergottite LAR 12095 (LAR 12095,40) for Scott Eckley of The University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley at NASA - JSC on 3 January 2020. Voxel Size X, Y, and Z = 8.57 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography Shergottite LAR 12095"},{"pid":"doi:10.18738/T8/HXYFQK","Title":"X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-A)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-A)' Description:'X-ray CT Scans of tiny chip-A of USNM 5487 Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 9 January 2015.Voxel Size X and Y and Z = 7.15 microns. Total slices = 1615.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-A)' Description:'X-ray CT Scans of tiny chip-A of USNM 5487 Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 9 January 2015.Voxel Size X and Y and Z = 7.15 microns. Total slices = 1615.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of tiny chip-A of USNM 5487 Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 9 January 2015.Voxel Size X and Y and Z = 7.15 microns. Total slices = 1615.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography"},{"pid":"doi:10.18738/T8/IG0OWZ","Title":"X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-B)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-B)' Description:'X-ray CT Scan close-up of a piece of USNM 5487 Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 26 January 2015.Voxel Size X and Y and Z =3.00 microns Total slices = 889Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-B)' Description:'X-ray CT Scan close-up of a piece of USNM 5487 Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 26 January 2015.Voxel Size X and Y and Z =3.00 microns Total slices = 889Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scan close-up of a piece of USNM 5487 Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 26 January 2015.Voxel Size X and Y and Z =3.00 microns Total slices = 889Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography"},{"pid":"doi:10.18738/T8/LPBL6U","Title":"X-ray CT scan of the CM2 Murchison chondrite meteorite (USNM 5487 3 chips)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT scan of the CM2 Murchison chondrite meteorite (USNM 5487 3 chips)' Description:'X-ray CT Scans of three chips of the Murchison chrondrite meteorite (USNM 5487; 'chip 3-5' first in CT series, followed by 'chip 1', and finally 'chip 3-1') for Romy Hanna of The University of Texas at Austin. Specimens scanned by Matthew Colbert on 13 May 2016.Voxel Size X and Y and Z = 9.99 μm. Total slices = 1804.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT scan of the CM2 Murchison chondrite meteorite (USNM 5487 3 chips)' Description:'X-ray CT Scans of three chips of the Murchison chrondrite meteorite (USNM 5487; 'chip 3-5' first in CT series, followed by 'chip 1', and finally 'chip 3-1') for Romy Hanna of The University of Texas at Austin. Specimens scanned by Matthew Colbert on 13 May 2016.Voxel Size X and Y and Z = 9.99 μm. Total slices = 1804.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of three chips of the Murchison chrondrite meteorite (USNM 5487; 'chip 3-5' first in CT series, followed by 'chip 1', and finally 'chip 3-1') for Romy Hanna of The University of Texas at Austin. Specimens scanned by Matthew Colbert on 13 May 2016.Voxel Size X and Y and Z = 9.99 μm. Total slices = 1804.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography"},{"pid":"doi:10.18738/T8/OFHPLL","Title":"X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-C)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-C)' Description:'X-ray CT close-up scans of a piece (tiny chip C) of USNM 5487 CM Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 24 April 2015. Scanned in two parts and stitched using Xradia plugin.Voxel Size X and Y and Z = 5.50 microns. Total slices = 1820.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (USNM 5487 tiny chip-C)' Description:'X-ray CT close-up scans of a piece (tiny chip C) of USNM 5487 CM Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 24 April 2015. Scanned in two parts and stitched using Xradia plugin.Voxel Size X and Y and Z = 5.50 microns. Total slices = 1820.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT close-up scans of a piece (tiny chip C) of USNM 5487 CM Murchison chondrite meteorite for Romy Hanna of UT DOGS. Specimen scanned by Jessie Maisano 24 April 2015. Scanned in two parts and stitched using Xradia plugin.Voxel Size X and Y and Z = 5.50 microns. Total slices = 1820.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography"},{"pid":"doi:10.18738/T8/OQRJRZ","Title":"X-ray CT Scan of the CM2 Murchison chondrite meteorite (2-chip USNM5487_3-3_3-6)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (2-chip USNM5487_3-3_3-6)' Description:'X-ray CT Scans of two chips of the CM2 Murchison chondrite meteorite scanned together (USNM 5487; subsample 3-3 first in CT series; subsample 3-6 second in CT series) for Romy Hanna of University of Texas at Austin. Specimens re-do scanned by Matthew Colbert on 25 February 2016.Voxel Size X and Y and Z =9.49 μm. Total slices = 1229.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT Scan of the CM2 Murchison chondrite meteorite (2-chip USNM5487_3-3_3-6)' Description:'X-ray CT Scans of two chips of the CM2 Murchison chondrite meteorite scanned together (USNM 5487; subsample 3-3 first in CT series; subsample 3-6 second in CT series) for Romy Hanna of University of Texas at Austin. Specimens re-do scanned by Matthew Colbert on 25 February 2016.Voxel Size X and Y and Z =9.49 μm. Total slices = 1229.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of two chips of the CM2 Murchison chondrite meteorite scanned together (USNM 5487; subsample 3-3 first in CT series; subsample 3-6 second in CT series) for Romy Hanna of University of Texas at Austin. Specimens re-do scanned by Matthew Colbert on 25 February 2016.Voxel Size X and Y and Z =9.49 μm. Total slices = 1229.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography"},{"pid":"doi:10.18738/T8/URQMKK","Title":"X-ray CT dataset of Martian shergottite Tissint","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT dataset of Martian shergottite Tissint' Description:'X-ray CT Scans of Martian shergottite Tissint for Scott Eckley of the University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley on 21 October 2022Voxel Size X, Y, and Z = 12.69 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography Shergottite Tissint+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT dataset of Martian shergottite Tissint' Description:'X-ray CT Scans of Martian shergottite Tissint for Scott Eckley of the University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley on 21 October 2022Voxel Size X, Y, and Z = 12.69 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of Martian shergottite Tissint for Scott Eckley of the University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley on 21 October 2022Voxel Size X, Y, and Z = 12.69 µmPlease acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography Shergottite Tissint"},{"pid":"doi:10.18738/T8/WV9JXL","Title":"X-ray CT scan of the CM2 Murchison chondrite meteorite (USNM 5487 MurchSm)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-ray CT scan of the CM2 Murchison chondrite meteorite (USNM 5487 MurchSm)' Description:'X-ray CT Scans of of a meteorite (USNM 5487; CM2 Murchison chondrite meteorite) for Romy Hanna of the University of Texas DOGS. Specimen scanned by Romy Hanna and Richard Ketcham 14 October 2011. Partial scan of sample at higher resolution.Voxel Size X and Y= 0.0293mm , Z=0.03205 mm),Total final slices = 494.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray CT Scan Data Computed Tomography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-ray CT scan of the CM2 Murchison chondrite meteorite (USNM 5487 MurchSm)' Description:'X-ray CT Scans of of a meteorite (USNM 5487; CM2 Murchison chondrite meteorite) for Romy Hanna of the University of Texas DOGS. Specimen scanned by Romy Hanna and Richard Ketcham 14 October 2011. Partial scan of sample at higher resolution.Voxel Size X and Y= 0.0293mm , Z=0.03205 mm),Total final slices = 494.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT Scans of of a meteorite (USNM 5487; CM2 Murchison chondrite meteorite) for Romy Hanna of the University of Texas DOGS. Specimen scanned by Romy Hanna and Richard Ketcham 14 October 2011. Partial scan of sample at higher resolution.Voxel Size X and Y= 0.0293mm , Z=0.03205 mm),Total final slices = 494.Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant NNX13AO64H, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray CT Scan Data Computed Tomography"},{"pid":"doi:10.18738/T8/XYW1BW","Title":"XCT Datasets of CM Murchison USNM 5487 chip (in air and xenon)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'XCT Datasets of CM Murchison USNM 5487 chip (in air and xenon)' Description:'X-ray CT scans of a chip of the Murchison chondrite meteorite (USNM 5487) for Romy Hanna of The University of Texas at Austin. Specimens scanned by Dave Edey at UTCT on 1 July 2021. Voxel Size X and Y and Z = 3.01 μm for both scans. Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant 80NSSC21K0610, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {X-ray Computed Tomography Scan Data+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'XCT Datasets of CM Murchison USNM 5487 chip (in air and xenon)' Description:'X-ray CT scans of a chip of the Murchison chondrite meteorite (USNM 5487) for Romy Hanna of The University of Texas at Austin. Specimens scanned by Dave Edey at UTCT on 1 July 2021. Voxel Size X and Y and Z = 3.01 μm for both scans. Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant 80NSSC21K0610, and Dr. Romy Hanna when using this data.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"X-ray CT scans of a chip of the Murchison chondrite meteorite (USNM 5487) for Romy Hanna of The University of Texas at Austin. Specimens scanned by Dave Edey at UTCT on 1 July 2021. Voxel Size X and Y and Z = 3.01 μm for both scans. Please acknowledge The University of Texas High-Resolution X-ray CT Facility (UTCT), NASA grant 80NSSC21K0610, and Dr. Romy Hanna when using this data.","Subject":"Astronomy and Astrophysics","Keywords":"X-ray Computed Tomography Scan Data"},{"pid":"doi:10.18738/T8/ZAK5PH","Title":"Replication Data for: dust aggregates data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: dust aggregates data' Description:'Sample output from the Aggregate_Builder_Constant_Population simulation. This data can be used to create the figures in the paper.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aggregation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: dust aggregates data' Description:'Sample output from the Aggregate_Builder_Constant_Population simulation. This data can be used to create the figures in the paper.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Sample output from the Aggregate_Builder_Constant_Population simulation. This data can be used to create the figures in the paper.","Subject":"Astronomy and Astrophysics","Keywords":"aggregation"},{"pid":"doi:10.21950/I9KQUV","Title":"Solar radio bursts from SMOS v621 Sun brightness temperature 1.4 GHz validation data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Solar radio bursts from SMOS v621 Sun brightness temperature 1.4 GHz validation data' Description:'List of solar radio bursts (1.4 GHz) in the SMOS v621 data with peak Sun brightness temperature 10^5 K above the local background and associated X-ray flare, if any. Soil Moisture and Ocean Salinity (SMOS) is a mission of the European Space Agency (ESA).' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {SMOS; Solar flares; Solar radio bursts; Space weather+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Solar radio bursts from SMOS v621 Sun brightness temperature 1.4 GHz validation data' Description:'List of solar radio bursts (1.4 GHz) in the SMOS v621 data with peak Sun brightness temperature 10^5 K above the local background and associated X-ray flare, if any. Soil Moisture and Ocean Salinity (SMOS) is a mission of the European Space Agency (ESA).' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"List of solar radio bursts (1.4 GHz) in the SMOS v621 data with peak Sun brightness temperature 10^5 K above the local background and associated X-ray flare, if any. Soil Moisture and Ocean Salinity (SMOS) is a mission of the European Space Agency (ESA).","Subject":"Astronomy and Astrophysics","Keywords":"SMOS; Solar flares; Solar radio bursts; Space weather"},{"pid":"doi:10.21950/PPD8ZW","Title":"Comparison between GOES flares, SOHO/LASCO CMEs and RSTN 1.4 GHz solar radio bursts","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Comparison between GOES flares, SOHO/LASCO CMEs and RSTN 1.4 GHz solar radio bursts' Description:'Study 1.4 GHz solar radio bursts as counterparts to coronal mass ejections.For a list of GOES X-ray flares of class M5 or higher, this dataset provides the time integral of their associated 1.4 GHz solar radio burst and compares them with the speed, angular width and kinetic energy of the associated CME, if any.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Coronal mass ejections; Solar flares; Solar radio bursts; Space weather+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Comparison between GOES flares, SOHO/LASCO CMEs and RSTN 1.4 GHz solar radio bursts' Description:'Study 1.4 GHz solar radio bursts as counterparts to coronal mass ejections.For a list of GOES X-ray flares of class M5 or higher, this dataset provides the time integral of their associated 1.4 GHz solar radio burst and compares them with the speed, angular width and kinetic energy of the associated CME, if any.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Study 1.4 GHz solar radio bursts as counterparts to coronal mass ejections.For a list of GOES X-ray flares of class M5 or higher, this dataset provides the time integral of their associated 1.4 GHz solar radio burst and compares them with the speed, angular width and kinetic energy of the associated CME, if any.","Subject":"Astronomy and Astrophysics","Keywords":"Coronal mass ejections; Solar flares; Solar radio bursts; Space weather"},{"pid":"doi:10.21950/VG1QSK","Title":"Anemone active regions catalogue from 2011-2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Anemone active regions catalogue from 2011-2014' Description:'This catalogue includes the anemone active regions from 2011-2014. Anemone regions are active regions in close proximity of coronal holes.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Sun; Sun: activity; Sun: magnetic field; Sun: solar terrestrial relation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Anemone active regions catalogue from 2011-2014' Description:'This catalogue includes the anemone active regions from 2011-2014. Anemone regions are active regions in close proximity of coronal holes.' Subject:'Astronomy and Astrophysics; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This catalogue includes the anemone active regions from 2011-2014. Anemone regions are active regions in close proximity of coronal holes.","Subject":"Astronomy and Astrophysics","Keywords":"Sun; Sun: activity; Sun: magnetic field; Sun: solar terrestrial relation"},{"pid":"doi:10.34894/RPLX95","Title":"D20160712T173455.100Z LOFAR lightning flash","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'D20160712T173455.100Z LOFAR lightning flash' Description:'This is some processed lightning data collected by the LOFAR radio telescope. This data is being published in 'LOFAR for Lightning Imaging' by Hare et. al. The data can be read the the software at https://github.com/Bhare8972/LOFAR-LIM. As discussed in the readme for the scripts, this data must be placed in a particular directory structure: 'some folder'/'year'/'timeID'/'analysis'. In this case the timeID is D20160712T173455.100Z and the year is 2016. The files here contain two different analysis: pulse data and found point sources. There is also calibration data (which should be treated like an analysis with respect to the file structure), as well as four text files that give important information about the antennas (bad antennas, addition timing calibration, polarization flips, and stating timings). These four text files should be placed in the 'some folder'/'year'/'timeID' folder.Due to space limitations, the analyses (in this case it is just the pulses) had to be split between different zip archives. Therefore, each archive has a '$' symbol followed by a number simple to keep them separate. E.G. pulse_data$0, pulse_data&1, ect... should all be extracted to the same analysis folder: 'some folder'/2016/D20160712T173455.100Z/puse_data, in order for the scripts to read and process all the data correctly.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lightning; LOFAR; time of arrival+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'D20160712T173455.100Z LOFAR lightning flash' Description:'This is some processed lightning data collected by the LOFAR radio telescope. This data is being published in 'LOFAR for Lightning Imaging' by Hare et. al. The data can be read the the software at https://github.com/Bhare8972/LOFAR-LIM. As discussed in the readme for the scripts, this data must be placed in a particular directory structure: 'some folder'/'year'/'timeID'/'analysis'. In this case the timeID is D20160712T173455.100Z and the year is 2016. The files here contain two different analysis: pulse data and found point sources. There is also calibration data (which should be treated like an analysis with respect to the file structure), as well as four text files that give important information about the antennas (bad antennas, addition timing calibration, polarization flips, and stating timings). These four text files should be placed in the 'some folder'/'year'/'timeID' folder.Due to space limitations, the analyses (in this case it is just the pulses) had to be split between different zip archives. Therefore, each archive has a '$' symbol followed by a number simple to keep them separate. E.G. pulse_data$0, pulse_data&1, ect... should all be extracted to the same analysis folder: 'some folder'/2016/D20160712T173455.100Z/puse_data, in order for the scripts to read and process all the data correctly.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is some processed lightning data collected by the LOFAR radio telescope. This data is being published in 'LOFAR for Lightning Imaging' by Hare et. al. The data can be read the the software at https://github.com/Bhare8972/LOFAR-LIM. As discussed in the readme for the scripts, this data must be placed in a particular directory structure: 'some folder'/'year'/'timeID'/'analysis'. In this case the timeID is D20160712T173455.100Z and the year is 2016. The files here contain two different analysis: pulse data and found point sources. There is also calibration data (which should be treated like an analysis with respect to the file structure), as well as four text files that give important information about the antennas (bad antennas, addition timing calibration, polarization flips, and stating timings). These four text files should be placed in the 'some folder'/'year'/'timeID' folder.Due to space limitations, the analyses (in this case it is just the pulses) had to be split between different zip archives. Therefore, each archive has a '$' symbol followed by a number simple to keep them separate. E.G. pulse_data$0, pulse_data&1, ect... should all be extracted to the same analysis folder: 'some folder'/2016/D20160712T173455.100Z/puse_data, in order for the scripts to read and process all the data correctly.","Subject":"Astronomy and Astrophysics","Keywords":"lightning; LOFAR; time of arrival"},{"pid":"doi:10.7910/DVN/0DLSDP","Title":"CHNOPS2743-HARMONIC","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CHNOPS2743-HARMONIC' Description:'In this work, we have produced approximate spectral data for a large number of molecules; specifically, the CHNOPS2743-HARMONIC dataset with predicted vibrational (infrared) frequencies and intensities for 2743 small molecules identified as potential biosignatures with an estimated accuracy of 10cm-1 (0.01-0.10 microns depending on spectral region). These approximate spectral data can be useful to identify potential molecular candidates to unknown spectral features in exoplanet atmosphere spectra.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {infrared: planetary systems; molecular data; opacity; planets and satellites: atmospheres+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CHNOPS2743-HARMONIC' Description:'In this work, we have produced approximate spectral data for a large number of molecules; specifically, the CHNOPS2743-HARMONIC dataset with predicted vibrational (infrared) frequencies and intensities for 2743 small molecules identified as potential biosignatures with an estimated accuracy of 10cm-1 (0.01-0.10 microns depending on spectral region). These approximate spectral data can be useful to identify potential molecular candidates to unknown spectral features in exoplanet atmosphere spectra.' Subject:'Astronomy and Astrophysics; Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In this work, we have produced approximate spectral data for a large number of molecules; specifically, the CHNOPS2743-HARMONIC dataset with predicted vibrational (infrared) frequencies and intensities for 2743 small molecules identified as potential biosignatures with an estimated accuracy of 10cm-1 (0.01-0.10 microns depending on spectral region). These approximate spectral data can be useful to identify potential molecular candidates to unknown spectral features in exoplanet atmosphere spectra.","Subject":"Astronomy and Astrophysics","Keywords":"infrared: planetary systems; molecular data; opacity; planets and satellites: atmospheres"},{"pid":"doi:10.7910/DVN/0IZBHY","Title":"Level 4: Fitted Photospheric Flow Profiles for modelers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Level 4: Fitted Photospheric Flow Profiles for modelers' Description:'coeff_mf.txt and error_coeff_mf.txt have the Legendre fitting coefficients and the fitting uncertainties respectively for the corrected baseline meridional flow on the same latitude-time grid as Level 3 flow profiles. Similar coefficients for solar rotation rate are in coeff_dr.txt and error_coeff_dr.txt. The rotation rate is in Carrington frame of reference. Unit: m/s.These are the coefficients of associated Legendre polynomials with order 1 and degrees 1 to 6 calculated as a function of time. The associated Legendre Polynomials are:x = sind(info.lat(:,1));x2 = cosd(info.lat(:,1));p1 = x2;p2 = 2*x.*x2;p3 = .726*(5*x.^2-1).*x2 ;p4 = 1*(7*x.^3-3*x).*x2 ;p5 = .583*(21*x.^4-14*x.^2 +1).*x2 ;p6 = .842*(33*x.^5 - 30*x.^3 + 5*x).*x2 ;' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Correlation Tracking, meridional flow, torsional oscillation, solar differential rotation, solar dynamo, surface flux transport+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Level 4: Fitted Photospheric Flow Profiles for modelers' Description:'coeff_mf.txt and error_coeff_mf.txt have the Legendre fitting coefficients and the fitting uncertainties respectively for the corrected baseline meridional flow on the same latitude-time grid as Level 3 flow profiles. Similar coefficients for solar rotation rate are in coeff_dr.txt and error_coeff_dr.txt. The rotation rate is in Carrington frame of reference. Unit: m/s.These are the coefficients of associated Legendre polynomials with order 1 and degrees 1 to 6 calculated as a function of time. The associated Legendre Polynomials are:x = sind(info.lat(:,1));x2 = cosd(info.lat(:,1));p1 = x2;p2 = 2*x.*x2;p3 = .726*(5*x.^2-1).*x2 ;p4 = 1*(7*x.^3-3*x).*x2 ;p5 = .583*(21*x.^4-14*x.^2 +1).*x2 ;p6 = .842*(33*x.^5 - 30*x.^3 + 5*x).*x2 ;' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"coeff_mf.txt and error_coeff_mf.txt have the Legendre fitting coefficients and the fitting uncertainties respectively for the corrected baseline meridional flow on the same latitude-time grid as Level 3 flow profiles. Similar coefficients for solar rotation rate are in coeff_dr.txt and error_coeff_dr.txt. The rotation rate is in Carrington frame of reference. Unit: m/s.These are the coefficients of associated Legendre polynomials with order 1 and degrees 1 to 6 calculated as a function of time. The associated Legendre Polynomials are:x = sind(info.lat(:,1));x2 = cosd(info.lat(:,1));p1 = x2;p2 = 2*x.*x2;p3 = .726*(5*x.^2-1).*x2 ;p4 = 1*(7*x.^3-3*x).*x2 ;p5 = .583*(21*x.^4-14*x.^2 +1).*x2 ;p6 = .842*(33*x.^5 - 30*x.^3 + 5*x).*x2 ;","Subject":"Astronomy and Astrophysics","Keywords":"Correlation Tracking, meridional flow, torsional oscillation, solar differential rotation, solar dynamo, surface flux transport"},{"pid":"doi:10.7910/DVN/0TIMGA","Title":"What (and How) Can Linked-View Visualization tell us about the Universe, and Brains?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'What (and How) Can Linked-View Visualization tell us about the Universe, and Brains?' Description:'Presentation Date: Thursday, August 3, 2017.Location: Microsoft Research, Redmond, Washington. Abstract: Dr. Alyssa Goodman's presentation 'What (and How) Can Linked-View Visualization tell us about the Universe, and Brains?' given at Microsoft Research in Redmond Washington on August 3, 2017.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'What (and How) Can Linked-View Visualization tell us about the Universe, and Brains?' Description:'Presentation Date: Thursday, August 3, 2017.Location: Microsoft Research, Redmond, Washington. Abstract: Dr. Alyssa Goodman's presentation 'What (and How) Can Linked-View Visualization tell us about the Universe, and Brains?' given at Microsoft Research in Redmond Washington on August 3, 2017.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Thursday, August 3, 2017.Location: Microsoft Research, Redmond, Washington. Abstract: Dr. Alyssa Goodman's presentation 'What (and How) Can Linked-View Visualization tell us about the Universe, and Brains?' given at Microsoft Research in Redmond Washington on August 3, 2017.","Subject":"Astronomy and Astrophysics","Keywords":"data visualization"},{"pid":"doi:10.7910/DVN/0XB6KN","Title":"Mars Dust Storm Sequence Dataset (MDSSD)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mars Dust Storm Sequence Dataset (MDSSD)' Description:'The Mars Dust Storm Sequence Dataset (MDSSD) contains information on dust storm instances and dust storm sequences manually identified in the Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) Mars Daily Global Maps (https://doi.org/10.7910/DVN/U3766S) for Mars Years 29-33. The information includes the position of dust storm instance at pixel level, timing, storm ID, sequence ID (when applicable), centroid position and confidence level. The MDSSD is documented and analyzed in Wang et al. [2023] to investigate the characteristics and annual cycle of Martian dust storms. For further details about the dataset, please refer to Wang et al. [2023], Appendix.pdf and the readme_mdssd.pdf file.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Mars+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mars Dust Storm Sequence Dataset (MDSSD)' Description:'The Mars Dust Storm Sequence Dataset (MDSSD) contains information on dust storm instances and dust storm sequences manually identified in the Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) Mars Daily Global Maps (https://doi.org/10.7910/DVN/U3766S) for Mars Years 29-33. The information includes the position of dust storm instance at pixel level, timing, storm ID, sequence ID (when applicable), centroid position and confidence level. The MDSSD is documented and analyzed in Wang et al. [2023] to investigate the characteristics and annual cycle of Martian dust storms. For further details about the dataset, please refer to Wang et al. [2023], Appendix.pdf and the readme_mdssd.pdf file.' Subject:'Astronomy and Astrophysics; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Mars Dust Storm Sequence Dataset (MDSSD) contains information on dust storm instances and dust storm sequences manually identified in the Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) Mars Daily Global Maps (https://doi.org/10.7910/DVN/U3766S) for Mars Years 29-33. The information includes the position of dust storm instance at pixel level, timing, storm ID, sequence ID (when applicable), centroid position and confidence level. The MDSSD is documented and analyzed in Wang et al. [2023] to investigate the characteristics and annual cycle of Martian dust storms. For further details about the dataset, please refer to Wang et al. [2023], Appendix.pdf and the readme_mdssd.pdf file.","Subject":"Astronomy and Astrophysics","Keywords":"Mars"},{"pid":"doi:10.7910/DVN/0XOZCL","Title":"ALMA 12CO data cubes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ALMA 12CO data cubes' Description:'ALMA 12CO data cubes from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary star; multiple star; protostar; radio astronomy; star formation; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ALMA 12CO data cubes' Description:'ALMA 12CO data cubes from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ALMA 12CO data cubes from VANDAM Perseus Survey","Subject":"Astronomy and Astrophysics","Keywords":"binary star; multiple star; protostar; radio astronomy; star formation; VLA"},{"pid":"doi:10.7910/DVN/1OLNC4","Title":"Supporting Information for: Planetary Caves: A Solar System View of Processes and Products","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supporting Information for: Planetary Caves: A Solar System View of Processes and Products' Description:'This dataset consists of four files, which are structured as two MS Word documents. Each document serves as a readme file for a companion MS Excel spreadsheet. The first file pair is a Word document, 'Supplemental_Info_LitReview_TextS1_Wynneetal_2022.docx' and the Excel file, “Supplemental_Info_LitReview_TablesS1-S16_Wynneetal_2022.xlsx”; the Word document describes both methodology for the literature review (for Figure 1), as well as the worksheets included in the Excel file. The 16 worksheet Excel file is a compendium of published works related to planetary caves from 1966 to 2021. The second file pair consists of 'Supplemental_Info_SAP_Data_TextS2_Wynneetal_2022.docx' and “Supplemental_Info_SAP_Data_TablesS17-18_Wynneetal_2022.xlsx”. The Word document contains the metadata and references cited for the Excel file, while the Excel file consists of two worksheets: TableS17_SAP_DB is an index of the 3,545 identified SAPs (subsurface access points) cataloged to date across the solar system and TableS18_SAP_DB_FeatureTypes is the feature type glossary used for TableS17_SAP_DB.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {planetary caves+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supporting Information for: Planetary Caves: A Solar System View of Processes and Products' Description:'This dataset consists of four files, which are structured as two MS Word documents. Each document serves as a readme file for a companion MS Excel spreadsheet. The first file pair is a Word document, 'Supplemental_Info_LitReview_TextS1_Wynneetal_2022.docx' and the Excel file, “Supplemental_Info_LitReview_TablesS1-S16_Wynneetal_2022.xlsx”; the Word document describes both methodology for the literature review (for Figure 1), as well as the worksheets included in the Excel file. The 16 worksheet Excel file is a compendium of published works related to planetary caves from 1966 to 2021. The second file pair consists of 'Supplemental_Info_SAP_Data_TextS2_Wynneetal_2022.docx' and “Supplemental_Info_SAP_Data_TablesS17-18_Wynneetal_2022.xlsx”. The Word document contains the metadata and references cited for the Excel file, while the Excel file consists of two worksheets: TableS17_SAP_DB is an index of the 3,545 identified SAPs (subsurface access points) cataloged to date across the solar system and TableS18_SAP_DB_FeatureTypes is the feature type glossary used for TableS17_SAP_DB.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset consists of four files, which are structured as two MS Word documents. Each document serves as a readme file for a companion MS Excel spreadsheet. The first file pair is a Word document, 'Supplemental_Info_LitReview_TextS1_Wynneetal_2022.docx' and the Excel file, “Supplemental_Info_LitReview_TablesS1-S16_Wynneetal_2022.xlsx”; the Word document describes both methodology for the literature review (for Figure 1), as well as the worksheets included in the Excel file. The 16 worksheet Excel file is a compendium of published works related to planetary caves from 1966 to 2021. The second file pair consists of 'Supplemental_Info_SAP_Data_TextS2_Wynneetal_2022.docx' and “Supplemental_Info_SAP_Data_TablesS17-18_Wynneetal_2022.xlsx”. The Word document contains the metadata and references cited for the Excel file, while the Excel file consists of two worksheets: TableS17_SAP_DB is an index of the 3,545 identified SAPs (subsurface access points) cataloged to date across the solar system and TableS18_SAP_DB_FeatureTypes is the feature type glossary used for TableS17_SAP_DB.","Subject":"Astronomy and Astrophysics","Keywords":"planetary caves"},{"pid":"doi:10.7910/DVN/1TCGIM","Title":"SFOG_Cluster_Fits_Images","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SFOG_Cluster_Fits_Images' Description:'Spitzer IRAC and WISE fits images of each identified cluster in the SFOG field.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {star formation, clusters, YSOs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SFOG_Cluster_Fits_Images' Description:'Spitzer IRAC and WISE fits images of each identified cluster in the SFOG field.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Spitzer IRAC and WISE fits images of each identified cluster in the SFOG field.","Subject":"Astronomy and Astrophysics","Keywords":"star formation, clusters, YSOs"},{"pid":"doi:10.7910/DVN/1U2Q3C","Title":"A data-driven Labels for solar flare predictions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A data-driven Labels for solar flare predictions' Description:'Solar flare prediction is a central problem in space weather forecasting. Existing solar flare prediction tools are mainly dependent on the GOES classification system, and models commonly use a proxy of maximum (peak) X-ray flux measurement over a particular prediction window to label instances. However, the background X-ray flux dramatically fluctuates over a solar cycle and often misleads both flare detection and flare prediction models during solar minimum, leading to an increase in false alarms. Our aim is to enhance the accuracy of flare prediction methods by introducing novel labeling regimes that integrate relative increases and cumulative measurements over prediction windows.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Metadata; Solar Flares; Space Weather Analytics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A data-driven Labels for solar flare predictions' Description:'Solar flare prediction is a central problem in space weather forecasting. Existing solar flare prediction tools are mainly dependent on the GOES classification system, and models commonly use a proxy of maximum (peak) X-ray flux measurement over a particular prediction window to label instances. However, the background X-ray flux dramatically fluctuates over a solar cycle and often misleads both flare detection and flare prediction models during solar minimum, leading to an increase in false alarms. Our aim is to enhance the accuracy of flare prediction methods by introducing novel labeling regimes that integrate relative increases and cumulative measurements over prediction windows.' Subject:'Astronomy and Astrophysics; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Solar flare prediction is a central problem in space weather forecasting. Existing solar flare prediction tools are mainly dependent on the GOES classification system, and models commonly use a proxy of maximum (peak) X-ray flux measurement over a particular prediction window to label instances. However, the background X-ray flux dramatically fluctuates over a solar cycle and often misleads both flare detection and flare prediction models during solar minimum, leading to an increase in false alarms. Our aim is to enhance the accuracy of flare prediction methods by introducing novel labeling regimes that integrate relative increases and cumulative measurements over prediction windows.","Subject":"Astronomy and Astrophysics","Keywords":"Metadata; Solar Flares; Space Weather Analytics"},{"pid":"doi:10.7910/DVN/28977","Title":"Replication data for: Deep 3.8 Micron Observations of the Trapezium Cluster","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Deep 3.8 Micron Observations of the Trapezium Cluster' Description:'This is the data behind the paper, 'Deep 3.8 Micron Observations of the Trapezium Cluster,' by Lada et al. (2004). It includes FITS image files and reference comparison files that would prove useful for interpreting the FITS image files. A note on the images: two images are given for each position. The 'avge' images differ from the 'avg' image by a sky offset that was applied for the purposes of creating an image mosaic. Based on observations collected at the European Southern Observatory, Chile [ESO Program 70.C-0471(A)]. Raw data can be found through the ESO Telescope Bibliography. http://telbib.eso.org/index.php?programid=%2270.C-0471%22, or via direct query (Link). ' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Infrared; ISAAC; L band (3.8 micrometers); VLT+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Deep 3.8 Micron Observations of the Trapezium Cluster' Description:'This is the data behind the paper, 'Deep 3.8 Micron Observations of the Trapezium Cluster,' by Lada et al. (2004). It includes FITS image files and reference comparison files that would prove useful for interpreting the FITS image files. A note on the images: two images are given for each position. The 'avge' images differ from the 'avg' image by a sky offset that was applied for the purposes of creating an image mosaic. Based on observations collected at the European Southern Observatory, Chile [ESO Program 70.C-0471(A)]. Raw data can be found through the ESO Telescope Bibliography. http://telbib.eso.org/index.php?programid=%2270.C-0471%22, or via direct query (Link). ' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the data behind the paper, 'Deep 3.8 Micron Observations of the Trapezium Cluster,' by Lada et al. (2004). It includes FITS image files and reference comparison files that would prove useful for interpreting the FITS image files. A note on the images: two images are given for each position. The 'avge' images differ from the 'avg' image by a sky offset that was applied for the purposes of creating an image mosaic. Based on observations collected at the European Southern Observatory, Chile [ESO Program 70.C-0471(A)]. Raw data can be found through the ESO Telescope Bibliography. http://telbib.eso.org/index.php?programid=%2270.C-0471%22, or via direct query (Link). ","Subject":"Astronomy and Astrophysics","Keywords":"Infrared; ISAAC; L band (3.8 micrometers); VLT"},{"pid":"doi:10.7910/DVN/2EJ9TX","Title":"3D dust map from Green et al. (2019)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'3D dust map from Green et al. (2019)' Description:'A three-dimensional map of dust reddening, covering the three quarters of the sky surveyed by the Pan-STARRS 1 (PS1) survey (declination δ > -30°). We use PS1 and 2MASS optical and near-infrared photometry, in conjunction with Gaia DR2 parallaxes, to infer distances and reddenings to ~800 million stars. These stars trace the reddening along different lines of sight, allowing us to build up a map of reddening in 3D. This work builds on Green et al. (2014, 2015, 2017).The map is structured as a set of sightlines, each of which contains multiple samples of the cumulative dust reddening as a function of distance. Each sightline is identified by a HEALPix nside parameter and nested pixel index. Within each sightline, cumulative reddening is given at discrete distances, spaced evenly in distance modulus. For each pixel, we provide multiple samples from the posterior on dust reddening.Quality assurance information is given for each pixel, including: Whether the fit converged in the pixel The minimum/maximum reliable distance moduli in the pixel The number of stars in the sightline The number of stars in the sightline which pass a cut on maximum-likelihood χ2/passband (termed 'good' stars) The number of 'good' stars which are inferred to be Main-Sequence stars (defined as Mr Reddening is given in an arbitrary unit, which can be converted to extinction in the PS1 and 2MASS passbands by multiplying by the following coefficients: gP1: 3.518 rP1: 2.617 iP1: 1.971 zP1: 1.549 yP1: 1.263 J: 0.7927 H: 0.4690 Ks: 0.3026The 3D map is described in more detail in Green et al. (2019), and tools for accessing the map are provided at argonaut.skymaps.info. This map is included in the Python dustmaps package, which is available through pip:pip install dustmaps' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {dust; Galactic structure; interstellar extinction; interstellar medium; interstellar reddening; stellar parameter estimation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'3D dust map from Green et al. (2019)' Description:'A three-dimensional map of dust reddening, covering the three quarters of the sky surveyed by the Pan-STARRS 1 (PS1) survey (declination δ > -30°). We use PS1 and 2MASS optical and near-infrared photometry, in conjunction with Gaia DR2 parallaxes, to infer distances and reddenings to ~800 million stars. These stars trace the reddening along different lines of sight, allowing us to build up a map of reddening in 3D. This work builds on Green et al. (2014, 2015, 2017).The map is structured as a set of sightlines, each of which contains multiple samples of the cumulative dust reddening as a function of distance. Each sightline is identified by a HEALPix nside parameter and nested pixel index. Within each sightline, cumulative reddening is given at discrete distances, spaced evenly in distance modulus. For each pixel, we provide multiple samples from the posterior on dust reddening.Quality assurance information is given for each pixel, including: Whether the fit converged in the pixel The minimum/maximum reliable distance moduli in the pixel The number of stars in the sightline The number of stars in the sightline which pass a cut on maximum-likelihood χ2/passband (termed 'good' stars) The number of 'good' stars which are inferred to be Main-Sequence stars (defined as Mr Reddening is given in an arbitrary unit, which can be converted to extinction in the PS1 and 2MASS passbands by multiplying by the following coefficients: gP1: 3.518 rP1: 2.617 iP1: 1.971 zP1: 1.549 yP1: 1.263 J: 0.7927 H: 0.4690 Ks: 0.3026The 3D map is described in more detail in Green et al. (2019), and tools for accessing the map are provided at argonaut.skymaps.info. This map is included in the Python dustmaps package, which is available through pip:pip install dustmaps' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A three-dimensional map of dust reddening, covering the three quarters of the sky surveyed by the Pan-STARRS 1 (PS1) survey (declination δ > -30°). We use PS1 and 2MASS optical and near-infrared photometry, in conjunction with Gaia DR2 parallaxes, to infer distances and reddenings to ~800 million stars. These stars trace the reddening along different lines of sight, allowing us to build up a map of reddening in 3D. This work builds on Green et al. (2014, 2015, 2017).The map is structured as a set of sightlines, each of which contains multiple samples of the cumulative dust reddening as a function of distance. Each sightline is identified by a HEALPix nside parameter and nested pixel index. Within each sightline, cumulative reddening is given at discrete distances, spaced evenly in distance modulus. For each pixel, we provide multiple samples from the posterior on dust reddening.Quality assurance information is given for each pixel, including: Whether the fit converged in the pixel The minimum/maximum reliable distance moduli in the pixel The number of stars in the sightline The number of stars in the sightline which pass a cut on maximum-likelihood χ2/passband (termed 'good' stars) The number of 'good' stars which are inferred to be Main-Sequence stars (defined as Mr Reddening is given in an arbitrary unit, which can be converted to extinction in the PS1 and 2MASS passbands by multiplying by the following coefficients: gP1: 3.518 rP1: 2.617 iP1: 1.971 zP1: 1.549 yP1: 1.263 J: 0.7927 H: 0.4690 Ks: 0.3026The 3D map is described in more detail in Green et al. (2019), and tools for accessing the map are provided at argonaut.skymaps.info. This map is included in the Python dustmaps package, which is available through pip:pip install dustmaps","Subject":"Astronomy and Astrophysics","Keywords":"dust; Galactic structure; interstellar extinction; interstellar medium; interstellar reddening; stellar parameter estimation"},{"pid":"doi:10.7910/DVN/3JVBOS","Title":"Supplementary Figures for Regime transition between eddy-driven and moist-driven circulation on High Obliquity Planets","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary Figures for Regime transition between eddy-driven and moist-driven circulation on High Obliquity Planets' Description:'supplementary figures' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {High obliquity, atmosphere dynamics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary Figures for Regime transition between eddy-driven and moist-driven circulation on High Obliquity Planets' Description:'supplementary figures' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"supplementary figures","Subject":"Astronomy and Astrophysics","Keywords":"High obliquity, atmosphere dynamics"},{"pid":"doi:10.7910/DVN/4AR0UR","Title":"Replication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), two color images and two original binary images for global regolith (32 pixels/degree, 70°N/S) and rock lithology (128 pixels/degree, 70°N/S)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), two color images and two original binary images for global regolith (32 pixels/degree, 70°N/S) and rock lithology (128 pixels/degree, 70°N/S)' Description:'Replication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), two color images and two original binary images for global regolith (32 pixels/degree, 70°N/S) and rock lithology (128 pixels/degree, 70°N/S)' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {LRO WAC, LP Th, Mare basalt lithologic map+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), two color images and two original binary images for global regolith (32 pixels/degree, 70°N/S) and rock lithology (128 pixels/degree, 70°N/S)' Description:'Replication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), two color images and two original binary images for global regolith (32 pixels/degree, 70°N/S) and rock lithology (128 pixels/degree, 70°N/S)' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for: LRO WAC image (100 m/pixel), Lunar Prospector Gamma Ray Spectrometer Th abundance map (2 degrees/pixel), two color images and two original binary images for global regolith (32 pixels/degree, 70°N/S) and rock lithology (128 pixels/degree, 70°N/S)","Subject":"Astronomy and Astrophysics","Keywords":"LRO WAC, LP Th, Mare basalt lithologic map"},{"pid":"doi:10.7910/DVN/4JZGLY","Title":"CSES satellite's observations on quasiperiodic waves","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CSES satellite's observations on quasiperiodic waves' Description:'CSES satellite' observations including payloads SCM, EFD, HPM, LAP, HEPP' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CSES+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CSES satellite's observations on quasiperiodic waves' Description:'CSES satellite' observations including payloads SCM, EFD, HPM, LAP, HEPP' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"CSES satellite' observations including payloads SCM, EFD, HPM, LAP, HEPP","Subject":"Astronomy and Astrophysics","Keywords":"CSES"},{"pid":"doi:10.7910/DVN/59NPHX","Title":"'glue-ing together the Universe'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :''glue-ing together the Universe'' Description:'Presentation Date: Friday, March 1, 2019Location: Visual Communication Symposium, Rice University, Houston, TXAbstract: Astronomy has long been a field reliant on visualization. First, it was literal visualization—looking at the Sky. Today, though, astronomers are faced with the daunting task of understanding gigantic digital images from across the electromagnetic spectrum and contextualizing them with hugely complex physics simulations, in order to make more sense of our Universe. In this talk, I will explain how new approaches to simultaneously exploring and explaining vast data sets allow astronomers—and other scientists—to make sense of what the data have to say, and to communicate what they learn, to each other and to the public. I will focus on the multi-dimensional linked-view data visualization environment known as “glue” (glueviz.org), explaining how it is being used in astronomy, medical imaging, and geographic information sciences. I will discuss its future potential to expand into all fields where diverse but related multi-dimensional data sets can be profitably analyzed together. Toward the aim of bringing the fruits of visualization to a broader audience, I will also introduce the new “10 Questions to Ask When Creating a Visualization” website, 10QViz.org.Full program downloadable from: https://vcs.rice.edu/sites/g/files/bxs2036/f/VCS%202019%20program%20booklet.pdf' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :''glue-ing together the Universe'' Description:'Presentation Date: Friday, March 1, 2019Location: Visual Communication Symposium, Rice University, Houston, TXAbstract: Astronomy has long been a field reliant on visualization. First, it was literal visualization—looking at the Sky. Today, though, astronomers are faced with the daunting task of understanding gigantic digital images from across the electromagnetic spectrum and contextualizing them with hugely complex physics simulations, in order to make more sense of our Universe. In this talk, I will explain how new approaches to simultaneously exploring and explaining vast data sets allow astronomers—and other scientists—to make sense of what the data have to say, and to communicate what they learn, to each other and to the public. I will focus on the multi-dimensional linked-view data visualization environment known as “glue” (glueviz.org), explaining how it is being used in astronomy, medical imaging, and geographic information sciences. I will discuss its future potential to expand into all fields where diverse but related multi-dimensional data sets can be profitably analyzed together. Toward the aim of bringing the fruits of visualization to a broader audience, I will also introduce the new “10 Questions to Ask When Creating a Visualization” website, 10QViz.org.Full program downloadable from: https://vcs.rice.edu/sites/g/files/bxs2036/f/VCS%202019%20program%20booklet.pdf' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Other; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Friday, March 1, 2019Location: Visual Communication Symposium, Rice University, Houston, TXAbstract: Astronomy has long been a field reliant on visualization. First, it was literal visualization—looking at the Sky. Today, though, astronomers are faced with the daunting task of understanding gigantic digital images from across the electromagnetic spectrum and contextualizing them with hugely complex physics simulations, in order to make more sense of our Universe. In this talk, I will explain how new approaches to simultaneously exploring and explaining vast data sets allow astronomers—and other scientists—to make sense of what the data have to say, and to communicate what they learn, to each other and to the public. I will focus on the multi-dimensional linked-view data visualization environment known as “glue” (glueviz.org), explaining how it is being used in astronomy, medical imaging, and geographic information sciences. I will discuss its future potential to expand into all fields where diverse but related multi-dimensional data sets can be profitably analyzed together. Toward the aim of bringing the fruits of visualization to a broader audience, I will also introduce the new “10 Questions to Ask When Creating a Visualization” website, 10QViz.org.Full program downloadable from: https://vcs.rice.edu/sites/g/files/bxs2036/f/VCS%202019%20program%20booklet.pdf","Subject":"Astronomy and Astrophysics","Keywords":"Visualization"},{"pid":"doi:10.7910/DVN/5A11XU","Title":"VLA 9mm Measurement Sets","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'VLA 9mm Measurement Sets' Description:'Data from VANDAM Perseus Survey. Measurement sets from the A and B configuration observations of each target' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary star; multiple star; protostar; radio astronomy; star formation; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'VLA 9mm Measurement Sets' Description:'Data from VANDAM Perseus Survey. Measurement sets from the A and B configuration observations of each target' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data from VANDAM Perseus Survey. Measurement sets from the A and B configuration observations of each target","Subject":"Astronomy and Astrophysics","Keywords":"binary star; multiple star; protostar; radio astronomy; star formation; VLA"},{"pid":"doi:10.7910/DVN/5KFEB5","Title":"ALMA SO data cubes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ALMA SO data cubes' Description:'SO data cubes from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary star; multiple star; protostar; radio astronomy; star formation; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ALMA SO data cubes' Description:'SO data cubes from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"SO data cubes from VANDAM Perseus Survey","Subject":"Astronomy and Astrophysics","Keywords":"binary star; multiple star; protostar; radio astronomy; star formation; VLA"},{"pid":"doi:10.7910/DVN/5YQDU9","Title":"Replication Data for: 'Colliding in the shadows of giants: Planetesimal collisions during the growth and migration of gas giants'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Colliding in the shadows of giants: Planetesimal collisions during the growth and migration of gas giants'' Description:'This dataset contains data from the article:Carter, P. J. and Stewart, S. T., 2020, 'Colliding in the shadows of giants: Planetesimal collisions during the growth and migration of gas giants', PSJ, 1, 45.These data consist of N-body simulation input files, processed data, select simulation output and code to read input/output files.See the README file for further information.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accretion; Planetesimal; Planet migration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Colliding in the shadows of giants: Planetesimal collisions during the growth and migration of gas giants'' Description:'This dataset contains data from the article:Carter, P. J. and Stewart, S. T., 2020, 'Colliding in the shadows of giants: Planetesimal collisions during the growth and migration of gas giants', PSJ, 1, 45.These data consist of N-body simulation input files, processed data, select simulation output and code to read input/output files.See the README file for further information.' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains data from the article:Carter, P. J. and Stewart, S. T., 2020, 'Colliding in the shadows of giants: Planetesimal collisions during the growth and migration of gas giants', PSJ, 1, 45.These data consist of N-body simulation input files, processed data, select simulation output and code to read input/output files.See the README file for further information.","Subject":"Astronomy and Astrophysics","Keywords":"Accretion; Planetesimal; Planet migration"},{"pid":"doi:10.7910/DVN/6RBEV0","Title":"X-RAY RADIANCE AND MAGNETIC FLUX","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-RAY RADIANCE AND MAGNETIC FLUX' Description:'Soft X-ray and magnetic field observations of the Sun (quiet Sun, X-ray bright points, active regions, and integrated solar disk) and active stars (dwarf and pre–main-sequence) that were used in Figure 1 in Pevtsov et al (2003) in their study of X-ray spectral radiance LX vs. total unsigned magnetic flux for solar and stellar objects.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {stars: coronae — stars: magnetic fields — Sun: corona — Sun: magnetic fields+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-RAY RADIANCE AND MAGNETIC FLUX' Description:'Soft X-ray and magnetic field observations of the Sun (quiet Sun, X-ray bright points, active regions, and integrated solar disk) and active stars (dwarf and pre–main-sequence) that were used in Figure 1 in Pevtsov et al (2003) in their study of X-ray spectral radiance LX vs. total unsigned magnetic flux for solar and stellar objects.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Soft X-ray and magnetic field observations of the Sun (quiet Sun, X-ray bright points, active regions, and integrated solar disk) and active stars (dwarf and pre–main-sequence) that were used in Figure 1 in Pevtsov et al (2003) in their study of X-ray spectral radiance LX vs. total unsigned magnetic flux for solar and stellar objects.","Subject":"Astronomy and Astrophysics","Keywords":"stars: coronae — stars: magnetic fields — Sun: corona — Sun: magnetic fields"},{"pid":"doi:10.7910/DVN/77QB4R","Title":"What does 'data science' mean to me, and to you?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'What does 'data science' mean to me, and to you?' Description:'Presentation Date: Tuesday, July 24, 2018.Location: PRISE Distinguished Speaker Presentation, Harvard University. Abstract: These are the slides from Dr. Alyssa Goodman's PRISE Distinguished Speaker Presentation 'What does 'data science' mean to me, and to you?' given on July 24, 2018.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data science+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'What does 'data science' mean to me, and to you?' Description:'Presentation Date: Tuesday, July 24, 2018.Location: PRISE Distinguished Speaker Presentation, Harvard University. Abstract: These are the slides from Dr. Alyssa Goodman's PRISE Distinguished Speaker Presentation 'What does 'data science' mean to me, and to you?' given on July 24, 2018.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Tuesday, July 24, 2018.Location: PRISE Distinguished Speaker Presentation, Harvard University. Abstract: These are the slides from Dr. Alyssa Goodman's PRISE Distinguished Speaker Presentation 'What does 'data science' mean to me, and to you?' given on July 24, 2018.","Subject":"Astronomy and Astrophysics","Keywords":"data science"},{"pid":"doi:10.7910/DVN/7IO69A","Title":"Mapping the Milky Way, from the Inside Out, in Color","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mapping the Milky Way, from the Inside Out, in Color' Description:'Presentation Date: Friday, March 15, 2019.Location: Barnstable, MA. Abstract: A presentation to a crowd of Barnstable High 'AstroJunkies,' about how we use physics, statistics, and visualizations to turn information from large, public, astronomical data sets, across many wavelengths into a better understanding of the structure of the Milky Way.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization; Milky Way+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mapping the Milky Way, from the Inside Out, in Color' Description:'Presentation Date: Friday, March 15, 2019.Location: Barnstable, MA. Abstract: A presentation to a crowd of Barnstable High 'AstroJunkies,' about how we use physics, statistics, and visualizations to turn information from large, public, astronomical data sets, across many wavelengths into a better understanding of the structure of the Milky Way.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Friday, March 15, 2019.Location: Barnstable, MA. Abstract: A presentation to a crowd of Barnstable High 'AstroJunkies,' about how we use physics, statistics, and visualizations to turn information from large, public, astronomical data sets, across many wavelengths into a better understanding of the structure of the Milky Way.","Subject":"Astronomy and Astrophysics","Keywords":"data visualization; Milky Way"},{"pid":"doi:10.7910/DVN/7P8NCV","Title":"Group Sunspot Numbers: A New Reconstruction of Sunspot Activity Variations from Historical Sunspot Recordings and with Algorithms from Machine Learning","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Group Sunspot Numbers: A New Reconstruction of Sunspot Activity Variations from Historical Sunspot Recordings and with Algorithms from Machine Learning' Description:'Recording of historical sunspots and construction of a comprehensive database are among the most sought after research activities in solar physics. Here, we revisit the issues and remaining questions on the reconstruction of the so-called Group Sunspot Numbers (GSN) that was pioneered by D. Hoyt and colleagues. We used the modern tools of Artificial Intelligence (AI) by applying various algorithms based on Machine Learning (ML) to GSN records. The goal is to offer a new vision in the reconstruction of sunspot activity variations,i.e., a Bayesian reconstruction in order to obtain a complete probabilistic GSN record from 1610 to 2020. This new GSN reconstruction is consistent with the historical GSN records. In addition, we performed a comparison between our new probabilistic GSN record and the most recent GSN reconstructions produced by several solar researchers under various assumptions and constraints. Our AI algorithms are able to reveal various new underlying patterns and channels of variations that can fully account for the complete GSN time variability, including intervals with extremely low or weak sunspot activity like the Maunder Minimum from 1645- 1715. Our results show that the GSN records are not strictly represented by the 11-yr cycles alone but that other important timescales for a fuller reconstruction of GSN activity history are the 5.5 yr, 22 yr, 30 yr, 60 yr, and 120 yr oscillations. The comprehensive GSN reconstruction by AI/ML is able to shed new insights on the nature and characteristics of not only the underlying 11-yr-like sunspot cycles but also the 22-yr Hale’s polarity cycles during the Maunder Minimum among other results previously hidden so far. In the early 1850s, Wolf multiplied his original sunspot number reconstruction by a factor of 1.25 to arrive at the canonical Wolf Sunspot Numbers (WSN). Removing this multiplicative factor, we find the GSN and WSN differ by only a few percent for the period 1700 to 1879. In a comparison to the International Sunspot Number recent recommended by Clette et al. (2014), several differences are found and discussed. More sunspot observations are still required and the paper points to observers that are not yet in the GSN database.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Group Sunspot Numbers+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Group Sunspot Numbers: A New Reconstruction of Sunspot Activity Variations from Historical Sunspot Recordings and with Algorithms from Machine Learning' Description:'Recording of historical sunspots and construction of a comprehensive database are among the most sought after research activities in solar physics. Here, we revisit the issues and remaining questions on the reconstruction of the so-called Group Sunspot Numbers (GSN) that was pioneered by D. Hoyt and colleagues. We used the modern tools of Artificial Intelligence (AI) by applying various algorithms based on Machine Learning (ML) to GSN records. The goal is to offer a new vision in the reconstruction of sunspot activity variations,i.e., a Bayesian reconstruction in order to obtain a complete probabilistic GSN record from 1610 to 2020. This new GSN reconstruction is consistent with the historical GSN records. In addition, we performed a comparison between our new probabilistic GSN record and the most recent GSN reconstructions produced by several solar researchers under various assumptions and constraints. Our AI algorithms are able to reveal various new underlying patterns and channels of variations that can fully account for the complete GSN time variability, including intervals with extremely low or weak sunspot activity like the Maunder Minimum from 1645- 1715. Our results show that the GSN records are not strictly represented by the 11-yr cycles alone but that other important timescales for a fuller reconstruction of GSN activity history are the 5.5 yr, 22 yr, 30 yr, 60 yr, and 120 yr oscillations. The comprehensive GSN reconstruction by AI/ML is able to shed new insights on the nature and characteristics of not only the underlying 11-yr-like sunspot cycles but also the 22-yr Hale’s polarity cycles during the Maunder Minimum among other results previously hidden so far. In the early 1850s, Wolf multiplied his original sunspot number reconstruction by a factor of 1.25 to arrive at the canonical Wolf Sunspot Numbers (WSN). Removing this multiplicative factor, we find the GSN and WSN differ by only a few percent for the period 1700 to 1879. In a comparison to the International Sunspot Number recent recommended by Clette et al. (2014), several differences are found and discussed. More sunspot observations are still required and the paper points to observers that are not yet in the GSN database.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Recording of historical sunspots and construction of a comprehensive database are among the most sought after research activities in solar physics. Here, we revisit the issues and remaining questions on the reconstruction of the so-called Group Sunspot Numbers (GSN) that was pioneered by D. Hoyt and colleagues. We used the modern tools of Artificial Intelligence (AI) by applying various algorithms based on Machine Learning (ML) to GSN records. The goal is to offer a new vision in the reconstruction of sunspot activity variations,i.e., a Bayesian reconstruction in order to obtain a complete probabilistic GSN record from 1610 to 2020. This new GSN reconstruction is consistent with the historical GSN records. In addition, we performed a comparison between our new probabilistic GSN record and the most recent GSN reconstructions produced by several solar researchers under various assumptions and constraints. Our AI algorithms are able to reveal various new underlying patterns and channels of variations that can fully account for the complete GSN time variability, including intervals with extremely low or weak sunspot activity like the Maunder Minimum from 1645- 1715. Our results show that the GSN records are not strictly represented by the 11-yr cycles alone but that other important timescales for a fuller reconstruction of GSN activity history are the 5.5 yr, 22 yr, 30 yr, 60 yr, and 120 yr oscillations. The comprehensive GSN reconstruction by AI/ML is able to shed new insights on the nature and characteristics of not only the underlying 11-yr-like sunspot cycles but also the 22-yr Hale’s polarity cycles during the Maunder Minimum among other results previously hidden so far. In the early 1850s, Wolf multiplied his original sunspot number reconstruction by a factor of 1.25 to arrive at the canonical Wolf Sunspot Numbers (WSN). Removing this multiplicative factor, we find the GSN and WSN differ by only a few percent for the period 1700 to 1879. In a comparison to the International Sunspot Number recent recommended by Clette et al. (2014), several differences are found and discussed. More sunspot observations are still required and the paper points to observers that are not yet in the GSN database.","Subject":"Astronomy and Astrophysics","Keywords":"Group Sunspot Numbers"},{"pid":"doi:10.7910/DVN/7R0DFU","Title":"Replication Data for: manuscript 'Possible Deep Structure and Composition of Venus with Respect to the Current Knowledge from Geodetic Data'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: manuscript 'Possible Deep Structure and Composition of Venus with Respect to the Current Knowledge from Geodetic Data'' Description:'This is the Data set for manuscritpt 'Possible Deep Structure and Composition of Venus with Respect to the Current Knowledge from Geodetic Data'. A description of the data is summarized in Readme.pdf' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Model Parameters; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: manuscript 'Possible Deep Structure and Composition of Venus with Respect to the Current Knowledge from Geodetic Data'' Description:'This is the Data set for manuscritpt 'Possible Deep Structure and Composition of Venus with Respect to the Current Knowledge from Geodetic Data'. A description of the data is summarized in Readme.pdf' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the Data set for manuscritpt 'Possible Deep Structure and Composition of Venus with Respect to the Current Knowledge from Geodetic Data'. A description of the data is summarized in Readme.pdf","Subject":"Astronomy and Astrophysics","Keywords":"Model Parameters; Venus"},{"pid":"doi:10.7910/DVN/7ZTRCP","Title":"Next in Data Visualization (Introduction and Handouts)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Next in Data Visualization (Introduction and Handouts)' Description:'Presentation Date: Monday, April 1, 2019. Location: Radcliffe Institute for Advanced Study at Harvard, Cambridge, MA. Abstract: Innovative data visualization reveals patterns and trends otherwise unseen. The four speakers in this program represent a range of visualization expertise, from human cognition to user interaction to tool design to the use of visualizations in journalism. As data sets in science, medicine, and business become larger and more diverse, the need for—and the impact of—good visualization is growing rapidly. The presentations will highlight a wide scope of visualization’s applicability, using examples from personalized medicine, government, education, basic science, climate change, and more.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Next in Data Visualization (Introduction and Handouts)' Description:'Presentation Date: Monday, April 1, 2019. Location: Radcliffe Institute for Advanced Study at Harvard, Cambridge, MA. Abstract: Innovative data visualization reveals patterns and trends otherwise unseen. The four speakers in this program represent a range of visualization expertise, from human cognition to user interaction to tool design to the use of visualizations in journalism. As data sets in science, medicine, and business become larger and more diverse, the need for—and the impact of—good visualization is growing rapidly. The presentations will highlight a wide scope of visualization’s applicability, using examples from personalized medicine, government, education, basic science, climate change, and more.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Monday, April 1, 2019. Location: Radcliffe Institute for Advanced Study at Harvard, Cambridge, MA. Abstract: Innovative data visualization reveals patterns and trends otherwise unseen. The four speakers in this program represent a range of visualization expertise, from human cognition to user interaction to tool design to the use of visualizations in journalism. As data sets in science, medicine, and business become larger and more diverse, the need for—and the impact of—good visualization is growing rapidly. The presentations will highlight a wide scope of visualization’s applicability, using examples from personalized medicine, government, education, basic science, climate change, and more.","Subject":"Astronomy and Astrophysics","Keywords":"data visualization"},{"pid":"doi:10.7910/DVN/8NNBDZ","Title":"Spectral libraries for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Spectral libraries for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data'' Description:'These are the gypsum, carbonate, nontronite, montmorillonite, and kaolinite spectral libraries used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402The spectra in these libraries were all measured in the NASA Reflectance Experiment Laboratory (RELAB; http://www.planetary.brown.edu/relabdocs/relab.htm). They were created by extracting all spectra from the RELAB database that were associated with each specific mineral name. For example, if the word 'gypsum' was in the RELAB sample description, the spectrum of that sample would be extracted and placed in the gypsum spectral library. This means that the libraries include many spectral mixtures, as well as pure mineral endmembers. They are not curated by-eye. They were resampled to the spectral sampling interval of the Headwall hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402. They are available as .txt files and .sli files (ENVI spectral libraries with associated .hdr files).Use the spectral ID unique to each spectrum to find information on the samples in the RELAB database hosted on the PDS Geosciences Node (https://pds-speclib.rsl.wustl.edu/search.aspx?catalog=RELAB). RELAB data are archived at the PDS Geosciences Node and can be accessed at: https://pds-geosciences.wustl.edu/spectrallibrary/default.htm. Thanks to Takahiro Hiroi and Ralph Milliken for operating RELAB. Copyright 2014, Brown University, Providence, RI.; All Rights ReservedPermission to use, copy, modify, and distribute any of these data and their documentation for any purpose other than its incorporation into a commercial product is hereby granted without fee, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Brown University not be used in advertising or publicity pertaining to distribution of the data without specific, written prior permission.BROWN UNIVERSITY DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE DATA, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THESE DATA.' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {VNIR spectral library, spectral library, spectral libraries, VNIR spectral libraries, gypsum, montmorillonite, kaolinite, nontronite, carbonate, calcite, siderite, magnesite, dolomite, MGS-1, Mars Global Simulant, spectra, library, Mars, hyperspectral image+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Spectral libraries for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data'' Description:'These are the gypsum, carbonate, nontronite, montmorillonite, and kaolinite spectral libraries used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402The spectra in these libraries were all measured in the NASA Reflectance Experiment Laboratory (RELAB; http://www.planetary.brown.edu/relabdocs/relab.htm). They were created by extracting all spectra from the RELAB database that were associated with each specific mineral name. For example, if the word 'gypsum' was in the RELAB sample description, the spectrum of that sample would be extracted and placed in the gypsum spectral library. This means that the libraries include many spectral mixtures, as well as pure mineral endmembers. They are not curated by-eye. They were resampled to the spectral sampling interval of the Headwall hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402. They are available as .txt files and .sli files (ENVI spectral libraries with associated .hdr files).Use the spectral ID unique to each spectrum to find information on the samples in the RELAB database hosted on the PDS Geosciences Node (https://pds-speclib.rsl.wustl.edu/search.aspx?catalog=RELAB). RELAB data are archived at the PDS Geosciences Node and can be accessed at: https://pds-geosciences.wustl.edu/spectrallibrary/default.htm. Thanks to Takahiro Hiroi and Ralph Milliken for operating RELAB. Copyright 2014, Brown University, Providence, RI.; All Rights ReservedPermission to use, copy, modify, and distribute any of these data and their documentation for any purpose other than its incorporation into a commercial product is hereby granted without fee, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Brown University not be used in advertising or publicity pertaining to distribution of the data without specific, written prior permission.BROWN UNIVERSITY DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE DATA, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THESE DATA.' Subject:'Agricultural Sciences; Astronomy and Astrophysics; Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering; Mathematical Sciences; Other; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are the gypsum, carbonate, nontronite, montmorillonite, and kaolinite spectral libraries used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402The spectra in these libraries were all measured in the NASA Reflectance Experiment Laboratory (RELAB; http://www.planetary.brown.edu/relabdocs/relab.htm). They were created by extracting all spectra from the RELAB database that were associated with each specific mineral name. For example, if the word 'gypsum' was in the RELAB sample description, the spectrum of that sample would be extracted and placed in the gypsum spectral library. This means that the libraries include many spectral mixtures, as well as pure mineral endmembers. They are not curated by-eye. They were resampled to the spectral sampling interval of the Headwall hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402. They are available as .txt files and .sli files (ENVI spectral libraries with associated .hdr files).Use the spectral ID unique to each spectrum to find information on the samples in the RELAB database hosted on the PDS Geosciences Node (https://pds-speclib.rsl.wustl.edu/search.aspx?catalog=RELAB). RELAB data are archived at the PDS Geosciences Node and can be accessed at: https://pds-geosciences.wustl.edu/spectrallibrary/default.htm. Thanks to Takahiro Hiroi and Ralph Milliken for operating RELAB. Copyright 2014, Brown University, Providence, RI.; All Rights ReservedPermission to use, copy, modify, and distribute any of these data and their documentation for any purpose other than its incorporation into a commercial product is hereby granted without fee, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Brown University not be used in advertising or publicity pertaining to distribution of the data without specific, written prior permission.BROWN UNIVERSITY DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE DATA, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THESE DATA.","Subject":" Astronomy and Astrophysics","Keywords":"VNIR spectral library, spectral library, spectral libraries, VNIR spectral libraries, gypsum, montmorillonite, kaolinite, nontronite, carbonate, calcite, siderite, magnesite, dolomite, MGS-1, Mars Global Simulant, spectra, library, Mars, hyperspectral image"},{"pid":"doi:10.7910/DVN/8WFUCN","Title":"Replication Data for: Diagnostic Simulations of the Lunar Sodium Tail and Bright Spot (2020, JGR in Press)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Diagnostic Simulations of the Lunar Sodium Tail and Bright Spot (2020, JGR in Press)' Description:'This is the data file set for the publication : 'Diagnostic Simulations of the Lunar Sodium Tail and Bright Spot'. 2020, in press J.G.R, Lee & Kim.Thanks.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Moon, Sodium, Tail, Spot, Simulations+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Diagnostic Simulations of the Lunar Sodium Tail and Bright Spot (2020, JGR in Press)' Description:'This is the data file set for the publication : 'Diagnostic Simulations of the Lunar Sodium Tail and Bright Spot'. 2020, in press J.G.R, Lee & Kim.Thanks.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the data file set for the publication : 'Diagnostic Simulations of the Lunar Sodium Tail and Bright Spot'. 2020, in press J.G.R, Lee & Kim.Thanks.","Subject":"Astronomy and Astrophysics","Keywords":"Moon, Sodium, Tail, Spot, Simulations"},{"pid":"doi:10.7910/DVN/99XLJ1","Title":"Tools and Techniques Telling a Twisted Tale of Star Formation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Tools and Techniques Telling a Twisted Tale of Star Formation' Description:'Presentation Date: Wednesday, January 20, 2016.Location: UCLA, Los Angeles, CA. Abstract: Talk given at the UCLA Astrophysics Colloquium on January 20, 2016.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {star formation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Tools and Techniques Telling a Twisted Tale of Star Formation' Description:'Presentation Date: Wednesday, January 20, 2016.Location: UCLA, Los Angeles, CA. Abstract: Talk given at the UCLA Astrophysics Colloquium on January 20, 2016.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Wednesday, January 20, 2016.Location: UCLA, Los Angeles, CA. Abstract: Talk given at the UCLA Astrophysics Colloquium on January 20, 2016.","Subject":"Astronomy and Astrophysics","Keywords":"star formation"},{"pid":"doi:10.7910/DVN/9HWRK8","Title":"PredictionX: A Look at the Future (of Online Learning?)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'PredictionX: A Look at the Future (of Online Learning?)' Description:'Presentation Date: Thursday, June 8, 2017.Location: Harvard University IT Summit, Cambridge, MA. Abstract: Twenty-five faculty from across Harvard’s schools are working with each other, as well as with a handful of outside experts, to create an extensive collection of online resources (interview-style and demonstration videos, text, interactive visualizations, and computer simulations) focused on “The Past and Present of the Future,” known as PredictionX. All of the included material is modular, in that learners or teachers can pick and choose which elements to include in either online or in-person learning experiences. Several interactive technologies are being used in PredictionX, including map-related tools, WorldWide Telescope, and a new timeline tool. Prototyping the timeline tool is part of a Harvard-based collaboration’s work toward establishing a new open standard for time-tagged information. This Summit session on PredictionX will offer attendees an example of how faculty and HarvardX staff can help develop, and edX can host, modular, re-purposable, materials beyond a “MOOC.”' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'PredictionX: A Look at the Future (of Online Learning?)' Description:'Presentation Date: Thursday, June 8, 2017.Location: Harvard University IT Summit, Cambridge, MA. Abstract: Twenty-five faculty from across Harvard’s schools are working with each other, as well as with a handful of outside experts, to create an extensive collection of online resources (interview-style and demonstration videos, text, interactive visualizations, and computer simulations) focused on “The Past and Present of the Future,” known as PredictionX. All of the included material is modular, in that learners or teachers can pick and choose which elements to include in either online or in-person learning experiences. Several interactive technologies are being used in PredictionX, including map-related tools, WorldWide Telescope, and a new timeline tool. Prototyping the timeline tool is part of a Harvard-based collaboration’s work toward establishing a new open standard for time-tagged information. This Summit session on PredictionX will offer attendees an example of how faculty and HarvardX staff can help develop, and edX can host, modular, re-purposable, materials beyond a “MOOC.”' Subject:'Arts and Humanities; Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Physics; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Thursday, June 8, 2017.Location: Harvard University IT Summit, Cambridge, MA. Abstract: Twenty-five faculty from across Harvard’s schools are working with each other, as well as with a handful of outside experts, to create an extensive collection of online resources (interview-style and demonstration videos, text, interactive visualizations, and computer simulations) focused on “The Past and Present of the Future,” known as PredictionX. All of the included material is modular, in that learners or teachers can pick and choose which elements to include in either online or in-person learning experiences. Several interactive technologies are being used in PredictionX, including map-related tools, WorldWide Telescope, and a new timeline tool. Prototyping the timeline tool is part of a Harvard-based collaboration’s work toward establishing a new open standard for time-tagged information. This Summit session on PredictionX will offer attendees an example of how faculty and HarvardX staff can help develop, and edX can host, modular, re-purposable, materials beyond a “MOOC.”","Subject":" Astronomy and Astrophysics","Keywords":"prediction"},{"pid":"doi:10.7910/DVN/9YNFVQ","Title":"POC test","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'POC test' Description:''>' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {POC test+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'POC test' Description:''>' Subject:'Arts and Humanities; Astronomy and Astrophysics; Business and Management; Computer and Information Science; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"'>","Subject":" Astronomy and Astrophysics","Keywords":"POC test"},{"pid":"doi:10.7910/DVN/AKM0QQ","Title":"MUSTANG-2 A401 + BRIDGE","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MUSTANG-2 A401 + BRIDGE' Description:'Kelvin_RJ, Noise and SNR maps and associated data products of the galaxy cluster A401 and the filament between A401 and A399 as observed at 90 GHz with MUSTANG-2 on the GBT.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cosmic web; Galaxy Cluster+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MUSTANG-2 A401 + BRIDGE' Description:'Kelvin_RJ, Noise and SNR maps and associated data products of the galaxy cluster A401 and the filament between A401 and A399 as observed at 90 GHz with MUSTANG-2 on the GBT.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Kelvin_RJ, Noise and SNR maps and associated data products of the galaxy cluster A401 and the filament between A401 and A399 as observed at 90 GHz with MUSTANG-2 on the GBT.","Subject":"Astronomy and Astrophysics","Keywords":"Cosmic web; Galaxy Cluster"},{"pid":"doi:10.7910/DVN/AOCRZU","Title":"Hyperspectral images for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Hyperspectral images for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data' Description:'These are the VNIR hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus, https://doi.org/10.1016/j.icarus.2021.114402These hyperspectral images are of 'Mars trays', which consist of binary mixtures of either kaolinite, calcite, nontronite, montmorillonite, and gypsum with Mars Global Simulant (MGS-1; Cannon et al. (2019): doi.org/10.1016/j.icarus.2018.08.019). In these images, there are pure endmembers of each mineral, a pure MGS-1 endmember, and mixtures with 50%, 20%, 10%, 5%, 2.5%, and 1% abundance of each mineral that is mixed with MGS-1. Each endmember and mixture is separated into individual trays. Grain sizes for the minerals mixed with MGS-1 are either 45-75 microns, or 125-250 microns with a few grains larger than 250 microns. The wavelength range with high quality data is 1.0-2.5 microns and the spatial resolution is 0.34 mm/pixel. There are corresponding RELAB measurements of each of these mixtures and endmembers. There is tape on top of the black background material, which was used to maintain consistent positioning of the trays. See Tarnas et al. (2021), Icarus, for more details.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {VNIR hyperspectral image, mineral mixtures, kaolinite, calcite, nontronite, montmorillonite, gypsum, Mars Global Simulant, MGS-1, laboratory hyperspectral images, VNIR hyperspectral groundtruthing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Hyperspectral images for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data' Description:'These are the VNIR hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus, https://doi.org/10.1016/j.icarus.2021.114402These hyperspectral images are of 'Mars trays', which consist of binary mixtures of either kaolinite, calcite, nontronite, montmorillonite, and gypsum with Mars Global Simulant (MGS-1; Cannon et al. (2019): doi.org/10.1016/j.icarus.2018.08.019). In these images, there are pure endmembers of each mineral, a pure MGS-1 endmember, and mixtures with 50%, 20%, 10%, 5%, 2.5%, and 1% abundance of each mineral that is mixed with MGS-1. Each endmember and mixture is separated into individual trays. Grain sizes for the minerals mixed with MGS-1 are either 45-75 microns, or 125-250 microns with a few grains larger than 250 microns. The wavelength range with high quality data is 1.0-2.5 microns and the spatial resolution is 0.34 mm/pixel. There are corresponding RELAB measurements of each of these mixtures and endmembers. There is tape on top of the black background material, which was used to maintain consistent positioning of the trays. See Tarnas et al. (2021), Icarus, for more details.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are the VNIR hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus, https://doi.org/10.1016/j.icarus.2021.114402These hyperspectral images are of 'Mars trays', which consist of binary mixtures of either kaolinite, calcite, nontronite, montmorillonite, and gypsum with Mars Global Simulant (MGS-1; Cannon et al. (2019): doi.org/10.1016/j.icarus.2018.08.019). In these images, there are pure endmembers of each mineral, a pure MGS-1 endmember, and mixtures with 50%, 20%, 10%, 5%, 2.5%, and 1% abundance of each mineral that is mixed with MGS-1. Each endmember and mixture is separated into individual trays. Grain sizes for the minerals mixed with MGS-1 are either 45-75 microns, or 125-250 microns with a few grains larger than 250 microns. The wavelength range with high quality data is 1.0-2.5 microns and the spatial resolution is 0.34 mm/pixel. There are corresponding RELAB measurements of each of these mixtures and endmembers. There is tape on top of the black background material, which was used to maintain consistent positioning of the trays. See Tarnas et al. (2021), Icarus, for more details.","Subject":"Astronomy and Astrophysics","Keywords":"VNIR hyperspectral image, mineral mixtures, kaolinite, calcite, nontronite, montmorillonite, gypsum, Mars Global Simulant, MGS-1, laboratory hyperspectral images, VNIR hyperspectral groundtruthing"},{"pid":"doi:10.7910/DVN/AP3S3E","Title":"Effects of Lunar Near-Surface Geology on Moonquakes Ground Motion Amplification","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Effects of Lunar Near-Surface Geology on Moonquakes Ground Motion Amplification' Description:'This dataset contains raw seismic data of meteoroid impact recordings at the lunar Apollo 12, Apollo 14, Apollo 15 and Apollo 16 landing sites Passive Seismic Experiments (PSE) packages together with python source codes and intermediate results discussed in the paper.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Lunar seismology; site effect estimation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Effects of Lunar Near-Surface Geology on Moonquakes Ground Motion Amplification' Description:'This dataset contains raw seismic data of meteoroid impact recordings at the lunar Apollo 12, Apollo 14, Apollo 15 and Apollo 16 landing sites Passive Seismic Experiments (PSE) packages together with python source codes and intermediate results discussed in the paper.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains raw seismic data of meteoroid impact recordings at the lunar Apollo 12, Apollo 14, Apollo 15 and Apollo 16 landing sites Passive Seismic Experiments (PSE) packages together with python source codes and intermediate results discussed in the paper.","Subject":"Astronomy and Astrophysics","Keywords":"Lunar seismology; site effect estimation"},{"pid":"doi:10.7910/DVN/AV9GXO","Title":"Stellar parameters from Green et al. (2019)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stellar parameters from Green et al. (2019)' Description:'Stellar parameters for 799 million stars, inferred by Green et al. (2019). The four parameters we infer are: Distance modulus ('dm') Reddening ('E') Absolute rP1 magnitude ('Mr') Metallicity ('FeH')These parameters are inferred by modeling the broad-band Pan-STARRS 1 and 2MASS photometry of the stars, as well as their Gaia DR2 parallaxes. We take into account priors on the distribution of stars of different types throughout the Milky Way.Reddening is given in an arbitrary unit, which can be converted to magnitudes of extinction in the PS1 and 2MASS passbands by multiplying by the following coefficients: gP1: 3.518 rP1: 2.617 iP1: 1.971 zP1: 1.549 yP1: 1.263 J: 0.7927 H: 0.4690 Ks: 0.3026The catalog is split into files containing approximately 8 million stars each. Each file contains the following groups: metadata: the locations of the stars, as well as a unique identifier for each star data: The PS1/2MASS photometry and Gaia DR2 parallaxes used to infer the stellar parameters chisq: The maximum-likelihood χ2/passband for the each star samples: Samples drawn from the posterior distribution of the stellar parameters, as well as the corresponding log likelihoods and priors percentiles: 16th, 50th and 84th percentiles of the marginal distribution of each parameter gaia: Gaia DR2 source_id. Additionally, the 16th, 50th and 84th percentiles of E(BP-RP) and AG reported by Andrae et al. (2018)Within each group, the stars are divided into datasets corresponding to an nside = 32 HEALPix pixelization of the sky, with nested ordering, in Galactic coordinates.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {interstellar extinction; interstellar reddening; stellar distances; stellar parameters+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stellar parameters from Green et al. (2019)' Description:'Stellar parameters for 799 million stars, inferred by Green et al. (2019). The four parameters we infer are: Distance modulus ('dm') Reddening ('E') Absolute rP1 magnitude ('Mr') Metallicity ('FeH')These parameters are inferred by modeling the broad-band Pan-STARRS 1 and 2MASS photometry of the stars, as well as their Gaia DR2 parallaxes. We take into account priors on the distribution of stars of different types throughout the Milky Way.Reddening is given in an arbitrary unit, which can be converted to magnitudes of extinction in the PS1 and 2MASS passbands by multiplying by the following coefficients: gP1: 3.518 rP1: 2.617 iP1: 1.971 zP1: 1.549 yP1: 1.263 J: 0.7927 H: 0.4690 Ks: 0.3026The catalog is split into files containing approximately 8 million stars each. Each file contains the following groups: metadata: the locations of the stars, as well as a unique identifier for each star data: The PS1/2MASS photometry and Gaia DR2 parallaxes used to infer the stellar parameters chisq: The maximum-likelihood χ2/passband for the each star samples: Samples drawn from the posterior distribution of the stellar parameters, as well as the corresponding log likelihoods and priors percentiles: 16th, 50th and 84th percentiles of the marginal distribution of each parameter gaia: Gaia DR2 source_id. Additionally, the 16th, 50th and 84th percentiles of E(BP-RP) and AG reported by Andrae et al. (2018)Within each group, the stars are divided into datasets corresponding to an nside = 32 HEALPix pixelization of the sky, with nested ordering, in Galactic coordinates.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Stellar parameters for 799 million stars, inferred by Green et al. (2019). The four parameters we infer are: Distance modulus ('dm') Reddening ('E') Absolute rP1 magnitude ('Mr') Metallicity ('FeH')These parameters are inferred by modeling the broad-band Pan-STARRS 1 and 2MASS photometry of the stars, as well as their Gaia DR2 parallaxes. We take into account priors on the distribution of stars of different types throughout the Milky Way.Reddening is given in an arbitrary unit, which can be converted to magnitudes of extinction in the PS1 and 2MASS passbands by multiplying by the following coefficients: gP1: 3.518 rP1: 2.617 iP1: 1.971 zP1: 1.549 yP1: 1.263 J: 0.7927 H: 0.4690 Ks: 0.3026The catalog is split into files containing approximately 8 million stars each. Each file contains the following groups: metadata: the locations of the stars, as well as a unique identifier for each star data: The PS1/2MASS photometry and Gaia DR2 parallaxes used to infer the stellar parameters chisq: The maximum-likelihood χ2/passband for the each star samples: Samples drawn from the posterior distribution of the stellar parameters, as well as the corresponding log likelihoods and priors percentiles: 16th, 50th and 84th percentiles of the marginal distribution of each parameter gaia: Gaia DR2 source_id. Additionally, the 16th, 50th and 84th percentiles of E(BP-RP) and AG reported by Andrae et al. (2018)Within each group, the stars are divided into datasets corresponding to an nside = 32 HEALPix pixelization of the sky, with nested ordering, in Galactic coordinates.","Subject":"Astronomy and Astrophysics","Keywords":"interstellar extinction; interstellar reddening; stellar distances; stellar parameters"},{"pid":"doi:10.7910/DVN/AVWS9Q","Title":"Introduction to Visualization for Teachers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Introduction to Visualization for Teachers' Description:'Presentation Date: Tuesday, July 9, 2019.Location: Harvard & Smithsonian Center for Astrophysics. Abstract: These are Alyssa Goodman's presentation slides for the Smithsonian Science Education Academy for Teachers (SSEAT) 2019 workshop, held at the Harvard & Smithsonian Center for Astrophysics in Cambridge, MA on July 9, 2019.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Introduction to Visualization for Teachers' Description:'Presentation Date: Tuesday, July 9, 2019.Location: Harvard & Smithsonian Center for Astrophysics. Abstract: These are Alyssa Goodman's presentation slides for the Smithsonian Science Education Academy for Teachers (SSEAT) 2019 workshop, held at the Harvard & Smithsonian Center for Astrophysics in Cambridge, MA on July 9, 2019.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Tuesday, July 9, 2019.Location: Harvard & Smithsonian Center for Astrophysics. Abstract: These are Alyssa Goodman's presentation slides for the Smithsonian Science Education Academy for Teachers (SSEAT) 2019 workshop, held at the Harvard & Smithsonian Center for Astrophysics in Cambridge, MA on July 9, 2019.","Subject":"Astronomy and Astrophysics","Keywords":"data visualization"},{"pid":"doi:10.7910/DVN/AYSGA3","Title":"MUSTANG-2 JKCS 041","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MUSTANG-2 JKCS 041' Description:'Here we published the MUSTANG-2 maps and associated products required to reproduce the analysis in Andreon et al. 2023. The products are: (1) a data map, in units of Kelvin_RJ, a transfer function, a stacked beam map, and a text file of conversions from Kelvin_RJ to Compton y, as a function of ICM temperature (in kTe). This conversion accounts for (a) the conversion from Kelvin_RJ to Kelvin_CMB as well as the MUSTANG-2 bandpass.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Galaxies: clusters: individual: JKCS 041+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MUSTANG-2 JKCS 041' Description:'Here we published the MUSTANG-2 maps and associated products required to reproduce the analysis in Andreon et al. 2023. The products are: (1) a data map, in units of Kelvin_RJ, a transfer function, a stacked beam map, and a text file of conversions from Kelvin_RJ to Compton y, as a function of ICM temperature (in kTe). This conversion accounts for (a) the conversion from Kelvin_RJ to Kelvin_CMB as well as the MUSTANG-2 bandpass.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Here we published the MUSTANG-2 maps and associated products required to reproduce the analysis in Andreon et al. 2023. The products are: (1) a data map, in units of Kelvin_RJ, a transfer function, a stacked beam map, and a text file of conversions from Kelvin_RJ to Compton y, as a function of ICM temperature (in kTe). This conversion accounts for (a) the conversion from Kelvin_RJ to Kelvin_CMB as well as the MUSTANG-2 bandpass.","Subject":"Astronomy and Astrophysics","Keywords":"Galaxies: clusters: individual: JKCS 041"},{"pid":"doi:10.7910/DVN/AZJ4XB","Title":"Atmospheric CO2 Depletion near the Surface in the Martian Polar Regions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Atmospheric CO2 Depletion near the Surface in the Martian Polar Regions' Description:'Atmospheric CO2 Depletion near the Surface in the Martian Polar RegionsSylvain Piqueux, Paul O. Hayne, Armin Kleinböhl, David M. Kass, Mathias Schreier, Daniel J. McCleese, Mark I. Richardson, John T. Schofield, James H. Shirley, Nicholas HeavensJet Propulsion Laboratory, California Institute of Technology4800 Oak Grove DrivePasadena, CA 91109USADepartment of Astrophysical and Planetary Sciences and Laboratory for Atmospheric and Space PhysicsUniversity of Colorado BoulderUSAAeolis ResearchUSASpace Science InstituteUSACopyright 2022. All Rights Reserved.Corresponding author: Sylvain PiqueuxJet Propulsion LaboratoryM/S 183-3014800 Oak Grove DrivePasadena, CA 91109USASylvain.Piqueux@jpl.nasa.govPhone: 818-393-9595Fax: 818-354-2494Supporting information associated with the paper 'Atmospheric CO2 Depletion near the Surface in the Martian Polar Regions' by Piqueux et al. consists of 17 files generated as part of this work and used to create the figures of this paper.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Climate; CO2; Mars; Polar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Atmospheric CO2 Depletion near the Surface in the Martian Polar Regions' Description:'Atmospheric CO2 Depletion near the Surface in the Martian Polar RegionsSylvain Piqueux, Paul O. Hayne, Armin Kleinböhl, David M. Kass, Mathias Schreier, Daniel J. McCleese, Mark I. Richardson, John T. Schofield, James H. Shirley, Nicholas HeavensJet Propulsion Laboratory, California Institute of Technology4800 Oak Grove DrivePasadena, CA 91109USADepartment of Astrophysical and Planetary Sciences and Laboratory for Atmospheric and Space PhysicsUniversity of Colorado BoulderUSAAeolis ResearchUSASpace Science InstituteUSACopyright 2022. All Rights Reserved.Corresponding author: Sylvain PiqueuxJet Propulsion LaboratoryM/S 183-3014800 Oak Grove DrivePasadena, CA 91109USASylvain.Piqueux@jpl.nasa.govPhone: 818-393-9595Fax: 818-354-2494Supporting information associated with the paper 'Atmospheric CO2 Depletion near the Surface in the Martian Polar Regions' by Piqueux et al. consists of 17 files generated as part of this work and used to create the figures of this paper.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Atmospheric CO2 Depletion near the Surface in the Martian Polar RegionsSylvain Piqueux, Paul O. Hayne, Armin Kleinböhl, David M. Kass, Mathias Schreier, Daniel J. McCleese, Mark I. Richardson, John T. Schofield, James H. Shirley, Nicholas HeavensJet Propulsion Laboratory, California Institute of Technology4800 Oak Grove DrivePasadena, CA 91109USADepartment of Astrophysical and Planetary Sciences and Laboratory for Atmospheric and Space PhysicsUniversity of Colorado BoulderUSAAeolis ResearchUSASpace Science InstituteUSACopyright 2022. All Rights Reserved.Corresponding author: Sylvain PiqueuxJet Propulsion LaboratoryM/S 183-3014800 Oak Grove DrivePasadena, CA 91109USASylvain.Piqueux@jpl.nasa.govPhone: 818-393-9595Fax: 818-354-2494Supporting information associated with the paper 'Atmospheric CO2 Depletion near the Surface in the Martian Polar Regions' by Piqueux et al. consists of 17 files generated as part of this work and used to create the figures of this paper.","Subject":"Astronomy and Astrophysics","Keywords":"Climate; CO2; Mars; Polar"},{"pid":"doi:10.7910/DVN/BDC2GS","Title":"Replication Data for: Is the Spectral Width of GRBs a Reliable Measure of GRB Emission Physics? ","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Is the Spectral Width of GRBs a Reliable Measure of GRB Emission Physics? ' Description:'This data set includes the processed GBM PHA/BAK/RSP files used in the publication. The files are readable by XSPEC or 3ML's OGIPLike plugin.Additionally, the 3ML analysis results FITS files are included. These results include the Bayesian posteriors from the fits. These can be reloaded into 3ML via the load_analysis_results command.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Fermi; gamma-ray bursts; GBM; spectral analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Is the Spectral Width of GRBs a Reliable Measure of GRB Emission Physics? ' Description:'This data set includes the processed GBM PHA/BAK/RSP files used in the publication. The files are readable by XSPEC or 3ML's OGIPLike plugin.Additionally, the 3ML analysis results FITS files are included. These results include the Bayesian posteriors from the fits. These can be reloaded into 3ML via the load_analysis_results command.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set includes the processed GBM PHA/BAK/RSP files used in the publication. The files are readable by XSPEC or 3ML's OGIPLike plugin.Additionally, the 3ML analysis results FITS files are included. These results include the Bayesian posteriors from the fits. These can be reloaded into 3ML via the load_analysis_results command.","Subject":"Astronomy and Astrophysics","Keywords":"Fermi; gamma-ray bursts; GBM; spectral analysis"},{"pid":"doi:10.7910/DVN/BIHQQG","Title":"Daily full-coverage, 1-km MAIAC Aerosol Optical Depth (AOD) data in China (2000-present) - Daily data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Daily full-coverage, 1-km MAIAC Aerosol Optical Depth (AOD) data in China (2000-present) - Daily data' Description:'Here we share the daily full-coverage AOD data, which combined the random forest estimates over the areas without MAIAC AOD retrievals and MAIAC original AOD retrievals wherever available. This daily dataset is archived in CSV format and each zip file contains one-month data. If you want use this dataset, please cite our publication as below. If you want more data (e.g., before 2012), please email us via qqhe@whut.edu.cn.If you want other air pollutant data (e.g., PM2.5), please go to our zenodo website (https://zenodo.org/record/7229348)' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {AOD; high resolution; gap free+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Daily full-coverage, 1-km MAIAC Aerosol Optical Depth (AOD) data in China (2000-present) - Daily data' Description:'Here we share the daily full-coverage AOD data, which combined the random forest estimates over the areas without MAIAC AOD retrievals and MAIAC original AOD retrievals wherever available. This daily dataset is archived in CSV format and each zip file contains one-month data. If you want use this dataset, please cite our publication as below. If you want more data (e.g., before 2012), please email us via qqhe@whut.edu.cn.If you want other air pollutant data (e.g., PM2.5), please go to our zenodo website (https://zenodo.org/record/7229348)' Subject:'Agricultural Sciences; Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Here we share the daily full-coverage AOD data, which combined the random forest estimates over the areas without MAIAC AOD retrievals and MAIAC original AOD retrievals wherever available. This daily dataset is archived in CSV format and each zip file contains one-month data. If you want use this dataset, please cite our publication as below. If you want more data (e.g., before 2012), please email us via qqhe@whut.edu.cn.If you want other air pollutant data (e.g., PM2.5), please go to our zenodo website (https://zenodo.org/record/7229348)","Subject":" Astronomy and Astrophysics","Keywords":"AOD; high resolution; gap free"},{"pid":"doi:10.7910/DVN/BKP1RH","Title":"A Systematic Magnetic Polarity Inversion Lines Dataset from SDO and HMI Magnetograms","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Systematic Magnetic Polarity Inversion Lines Dataset from SDO and HMI Magnetograms' Description:'Magnetic polarity inversion lines (PILs) detected in solar active regions have long been recognized as arguably the most essential feature for triggering the instabilities such as flares and eruptive events (i.e., eruptive flares and coronal mass ejections). In recent years, efforts have been focused on using features engineered from PILs for solar eruption prediction. However, PIL rasters and metadata are often generated as byproducts and are not accessible for public use, which limits their utilization in data-intensive space weather analytics applications. We introduce a large-scale publicly available PIL dataset covering practically the entire solar cycle 24 for applying to various space weather forecasting and analytics tasks. The dataset is created using line-of-sight (LoS) magnetograms from the Solar Dynamics Observatory's (SDO) Helioseismic and Magnetic Imager (HMI) Active Region Patches (HARPs) that involves 4,090 HARP series ranging from May 2010 to March 2019. This dataset includes three PIL-related binary masks of rasters: the actual PILs as per the spatial analysis of the magnetograms, the region of polarity inversion (RoPI), and the convex hull of PILs (convex closure of the set of detected PILs), along with time series structured metadata extracted from these masks.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Magnetic Polarity Inversion Line, Solar Active Regions, Time Series Analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Systematic Magnetic Polarity Inversion Lines Dataset from SDO and HMI Magnetograms' Description:'Magnetic polarity inversion lines (PILs) detected in solar active regions have long been recognized as arguably the most essential feature for triggering the instabilities such as flares and eruptive events (i.e., eruptive flares and coronal mass ejections). In recent years, efforts have been focused on using features engineered from PILs for solar eruption prediction. However, PIL rasters and metadata are often generated as byproducts and are not accessible for public use, which limits their utilization in data-intensive space weather analytics applications. We introduce a large-scale publicly available PIL dataset covering practically the entire solar cycle 24 for applying to various space weather forecasting and analytics tasks. The dataset is created using line-of-sight (LoS) magnetograms from the Solar Dynamics Observatory's (SDO) Helioseismic and Magnetic Imager (HMI) Active Region Patches (HARPs) that involves 4,090 HARP series ranging from May 2010 to March 2019. This dataset includes three PIL-related binary masks of rasters: the actual PILs as per the spatial analysis of the magnetograms, the region of polarity inversion (RoPI), and the convex hull of PILs (convex closure of the set of detected PILs), along with time series structured metadata extracted from these masks.' Subject:'Astronomy and Astrophysics; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Magnetic polarity inversion lines (PILs) detected in solar active regions have long been recognized as arguably the most essential feature for triggering the instabilities such as flares and eruptive events (i.e., eruptive flares and coronal mass ejections). In recent years, efforts have been focused on using features engineered from PILs for solar eruption prediction. However, PIL rasters and metadata are often generated as byproducts and are not accessible for public use, which limits their utilization in data-intensive space weather analytics applications. We introduce a large-scale publicly available PIL dataset covering practically the entire solar cycle 24 for applying to various space weather forecasting and analytics tasks. The dataset is created using line-of-sight (LoS) magnetograms from the Solar Dynamics Observatory's (SDO) Helioseismic and Magnetic Imager (HMI) Active Region Patches (HARPs) that involves 4,090 HARP series ranging from May 2010 to March 2019. This dataset includes three PIL-related binary masks of rasters: the actual PILs as per the spatial analysis of the magnetograms, the region of polarity inversion (RoPI), and the convex hull of PILs (convex closure of the set of detected PILs), along with time series structured metadata extracted from these masks.","Subject":"Astronomy and Astrophysics","Keywords":"Magnetic Polarity Inversion Line, Solar Active Regions, Time Series Analysis"},{"pid":"doi:10.7910/DVN/BPTQHH","Title":"H2CO Measurement Sets","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'H2CO Measurement Sets' Description:'H2CO Measurement sets from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary star; multiple star; protostar; radio astronomy; star formation; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'H2CO Measurement Sets' Description:'H2CO Measurement sets from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"H2CO Measurement sets from VANDAM Perseus Survey","Subject":"Astronomy and Astrophysics","Keywords":"binary star; multiple star; protostar; radio astronomy; star formation; VLA"},{"pid":"doi:10.7910/DVN/BZMTAP","Title":"Perseus A-configuration 9mm images","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Perseus A-configuration 9mm images' Description:'Data from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary star; multiple star; protostar; radio astronomy; star formation; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Perseus A-configuration 9mm images' Description:'Data from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data from VANDAM Perseus Survey","Subject":"Astronomy and Astrophysics","Keywords":"binary star; multiple star; protostar; radio astronomy; star formation; VLA"},{"pid":"doi:10.7910/DVN/C0SC17","Title":"The Path to Newton","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Path to Newton' Description:'Presentation Date: Monday, January 7, 2019. Location: 233rd Meeting of the American Astronomical Society, Seattle, WA. Abstract: Note, an online 'iPoster' with significant additional content accompanied this talk, and can be found at tinyurl.com/aas-path-to-newton.The Path to Newton is a new interactive infographic designed to tell the backstory of how the findings and ideas of observers, natural philosophers and scientists interacted in order to ultimately permit Newton to make his theory of gravity. The graphic includes images (and hyperlinked profiles) of dozens of scientists and their scholarly works, and it shows the linkages between their ideas. Some ideas are called out as steps toward Newton, and others as less helpful. The work was motivated by a new online edX educational resource, PredictionX (see predictionx.org) that covers the history of how humans have predicted their futures, from Ancient Babylonian times up to the present. The central piece of PredictionX focuses on the evolution from detailed observations and record keeping (e.g. in Ancient Mesopotamia or Egypt) to empirically-based mathematical explanations (e.g. Ptolemy or Kepler) to truly physical, predictive, theory (Newton). In addition to calling out individuals and their ideas, the piece also highlights evolution in mathematics and instrumentation that allowed for progress along the path. The Path to Newton crosses through many cultures and regions, starting in Ancient Mesopotamia, traversing Ancient Egypt and Greece, then India and the Islamic world, and then finally Europe. While the piece was originally intended to be experienced online, as its elements are linked to rich background material, it makes a fabulous large-format printed poster, which will be displayed at the American Astronomical Meeting.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Path to Newton' Description:'Presentation Date: Monday, January 7, 2019. Location: 233rd Meeting of the American Astronomical Society, Seattle, WA. Abstract: Note, an online 'iPoster' with significant additional content accompanied this talk, and can be found at tinyurl.com/aas-path-to-newton.The Path to Newton is a new interactive infographic designed to tell the backstory of how the findings and ideas of observers, natural philosophers and scientists interacted in order to ultimately permit Newton to make his theory of gravity. The graphic includes images (and hyperlinked profiles) of dozens of scientists and their scholarly works, and it shows the linkages between their ideas. Some ideas are called out as steps toward Newton, and others as less helpful. The work was motivated by a new online edX educational resource, PredictionX (see predictionx.org) that covers the history of how humans have predicted their futures, from Ancient Babylonian times up to the present. The central piece of PredictionX focuses on the evolution from detailed observations and record keeping (e.g. in Ancient Mesopotamia or Egypt) to empirically-based mathematical explanations (e.g. Ptolemy or Kepler) to truly physical, predictive, theory (Newton). In addition to calling out individuals and their ideas, the piece also highlights evolution in mathematics and instrumentation that allowed for progress along the path. The Path to Newton crosses through many cultures and regions, starting in Ancient Mesopotamia, traversing Ancient Egypt and Greece, then India and the Islamic world, and then finally Europe. While the piece was originally intended to be experienced online, as its elements are linked to rich background material, it makes a fabulous large-format printed poster, which will be displayed at the American Astronomical Meeting.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Monday, January 7, 2019. Location: 233rd Meeting of the American Astronomical Society, Seattle, WA. Abstract: Note, an online 'iPoster' with significant additional content accompanied this talk, and can be found at tinyurl.com/aas-path-to-newton.The Path to Newton is a new interactive infographic designed to tell the backstory of how the findings and ideas of observers, natural philosophers and scientists interacted in order to ultimately permit Newton to make his theory of gravity. The graphic includes images (and hyperlinked profiles) of dozens of scientists and their scholarly works, and it shows the linkages between their ideas. Some ideas are called out as steps toward Newton, and others as less helpful. The work was motivated by a new online edX educational resource, PredictionX (see predictionx.org) that covers the history of how humans have predicted their futures, from Ancient Babylonian times up to the present. The central piece of PredictionX focuses on the evolution from detailed observations and record keeping (e.g. in Ancient Mesopotamia or Egypt) to empirically-based mathematical explanations (e.g. Ptolemy or Kepler) to truly physical, predictive, theory (Newton). In addition to calling out individuals and their ideas, the piece also highlights evolution in mathematics and instrumentation that allowed for progress along the path. The Path to Newton crosses through many cultures and regions, starting in Ancient Mesopotamia, traversing Ancient Egypt and Greece, then India and the Islamic world, and then finally Europe. While the piece was originally intended to be experienced online, as its elements are linked to rich background material, it makes a fabulous large-format printed poster, which will be displayed at the American Astronomical Meeting.","Subject":"Astronomy and Astrophysics","Keywords":"prediction"},{"pid":"doi:10.7910/DVN/C5CEEI","Title":"Fast interferometric data from the Very Large Array for Fast Radio Burst FRB 190520","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fast interferometric data from the Very Large Array for Fast Radio Burst FRB 190520' Description:'Data products to support reproduction of the interferometric localization of Fast Radio Burst 190520.The principle data products are tar files of fast-sampled interferometric data from the Very Large Array (download separately to avoid dataverse file size limit). Each observation segment includes a few seconds of visibilities centered on a radio burst from FRB 190520. Data is in science data model (SDM) format, which consists of a directory with metadata in XML files and binary data in the ASDMBinary subdirectory. Binary data were recorded with an integration time of 10 ms and dual-circular polarizations. Each file is identified by a unique name of the observation, plus the observation start time in MJD. Each visibility data set is associated with one of the calibration files with the same MJD (telcal format; ending in '.GN') that can be parsed to apply gain calibration.The Python package rtpipe (https://github.com/realfastvla/rfpipe) can perform all calibration and analysis of these data. This library is supported by sdmpy (https://github.com/demorest/sdmpy), a Python library to read SDM files. See also http://realfast.io for information on the project behind the data acquisition system and analysis software.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {fast radio burst; interferometry; radio astronomy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fast interferometric data from the Very Large Array for Fast Radio Burst FRB 190520' Description:'Data products to support reproduction of the interferometric localization of Fast Radio Burst 190520.The principle data products are tar files of fast-sampled interferometric data from the Very Large Array (download separately to avoid dataverse file size limit). Each observation segment includes a few seconds of visibilities centered on a radio burst from FRB 190520. Data is in science data model (SDM) format, which consists of a directory with metadata in XML files and binary data in the ASDMBinary subdirectory. Binary data were recorded with an integration time of 10 ms and dual-circular polarizations. Each file is identified by a unique name of the observation, plus the observation start time in MJD. Each visibility data set is associated with one of the calibration files with the same MJD (telcal format; ending in '.GN') that can be parsed to apply gain calibration.The Python package rtpipe (https://github.com/realfastvla/rfpipe) can perform all calibration and analysis of these data. This library is supported by sdmpy (https://github.com/demorest/sdmpy), a Python library to read SDM files. See also http://realfast.io for information on the project behind the data acquisition system and analysis software.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data products to support reproduction of the interferometric localization of Fast Radio Burst 190520.The principle data products are tar files of fast-sampled interferometric data from the Very Large Array (download separately to avoid dataverse file size limit). Each observation segment includes a few seconds of visibilities centered on a radio burst from FRB 190520. Data is in science data model (SDM) format, which consists of a directory with metadata in XML files and binary data in the ASDMBinary subdirectory. Binary data were recorded with an integration time of 10 ms and dual-circular polarizations. Each file is identified by a unique name of the observation, plus the observation start time in MJD. Each visibility data set is associated with one of the calibration files with the same MJD (telcal format; ending in '.GN') that can be parsed to apply gain calibration.The Python package rtpipe (https://github.com/realfastvla/rfpipe) can perform all calibration and analysis of these data. This library is supported by sdmpy (https://github.com/demorest/sdmpy), a Python library to read SDM files. See also http://realfast.io for information on the project behind the data acquisition system and analysis software.","Subject":"Astronomy and Astrophysics","Keywords":"fast radio burst; interferometry; radio astronomy"},{"pid":"doi:10.7910/DVN/C948VN","Title":"Why Galileo is My Hero","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Why Galileo is My Hero' Description:'Presentation Date: Saturday, April 30, 2016.Location: SymposiumCOUR Symposium, Harvard UniversityAbstract: Slides for Dr. Alyssa Goodman's presentation 'Why Galileo is My Hero'' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Galileo; visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Why Galileo is My Hero' Description:'Presentation Date: Saturday, April 30, 2016.Location: SymposiumCOUR Symposium, Harvard UniversityAbstract: Slides for Dr. Alyssa Goodman's presentation 'Why Galileo is My Hero'' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Saturday, April 30, 2016.Location: SymposiumCOUR Symposium, Harvard UniversityAbstract: Slides for Dr. Alyssa Goodman's presentation 'Why Galileo is My Hero'","Subject":"Astronomy and Astrophysics","Keywords":"Galileo; visualization"},{"pid":"doi:10.7910/DVN/CBJK2T","Title":"Solar activity - Pandemic viruses","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Solar activity - Pandemic viruses' Description:'Collected data for pandemic viruses during every solar activity ctcle.' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Climate change; Environment; epidemic; Epidemiology; pandemic; Solar cycle; Solar terrestrial connection; Space weather; Veterinary+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Solar activity - Pandemic viruses' Description:'Collected data for pandemic viruses during every solar activity ctcle.' Subject:'Agricultural Sciences; Astronomy and Astrophysics; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Collected data for pandemic viruses during every solar activity ctcle.","Subject":" Astronomy and Astrophysics","Keywords":"Climate change; Environment; epidemic; Epidemiology; pandemic; Solar cycle; Solar terrestrial connection; Space weather; Veterinary"},{"pid":"doi:10.7910/DVN/CGODLQ","Title":"Visualization & the Universe: How and why astronomers, doctors, and you need to work together to understand the world around us…","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Visualization & the Universe: How and why astronomers, doctors, and you need to work together to understand the world around us…' Description:'Presentation Date: Thursday, November 15, 2018.Location: University of Texas at Austin.Abstract: These are the presentation slides from Dr. Alyssa Goodman's 2nd presentation during weeklong Tinsley Lectureship at UT Austin.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Visualization & the Universe: How and why astronomers, doctors, and you need to work together to understand the world around us…' Description:'Presentation Date: Thursday, November 15, 2018.Location: University of Texas at Austin.Abstract: These are the presentation slides from Dr. Alyssa Goodman's 2nd presentation during weeklong Tinsley Lectureship at UT Austin.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Thursday, November 15, 2018.Location: University of Texas at Austin.Abstract: These are the presentation slides from Dr. Alyssa Goodman's 2nd presentation during weeklong Tinsley Lectureship at UT Austin.","Subject":"Astronomy and Astrophysics","Keywords":"Visualization"},{"pid":"doi:10.7910/DVN/CI7X3N","Title":"CME Data Analysis Chart for 'Analysis of the Coronal Mass Ejections through Axial Field Direction of Solar Filaments and IMF Bz'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CME Data Analysis Chart for 'Analysis of the Coronal Mass Ejections through Axial Field Direction of Solar Filaments and IMF Bz'' Description:'An analysis chart for the paper 'Analysis of the Coronal Mass Ejections through Axial Field Direction of Solar Filaments and IMF Bz'. Includes data analyzed for axial field direction and Bz orientation.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {solar astronomy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CME Data Analysis Chart for 'Analysis of the Coronal Mass Ejections through Axial Field Direction of Solar Filaments and IMF Bz'' Description:'An analysis chart for the paper 'Analysis of the Coronal Mass Ejections through Axial Field Direction of Solar Filaments and IMF Bz'. Includes data analyzed for axial field direction and Bz orientation.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"An analysis chart for the paper 'Analysis of the Coronal Mass Ejections through Axial Field Direction of Solar Filaments and IMF Bz'. Includes data analyzed for axial field direction and Bz orientation.","Subject":"Astronomy and Astrophysics","Keywords":"solar astronomy"},{"pid":"doi:10.7910/DVN/CKSC9M","Title":"The Local Milky Way, in 3D","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Local Milky Way, in 3D' Description:'Presentation Date: Wednesday, July 20, 2022. Location: Institut Pascal, Paris, France.Abstract: A talk at the 2022 Interstellar Institute on why 2D 3D transformations, and paying attention to the dimensionality of data and display modes for it is so important in understanding the nature of the local interstellar medium.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization, astrophysics, data science, visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Local Milky Way, in 3D' Description:'Presentation Date: Wednesday, July 20, 2022. Location: Institut Pascal, Paris, France.Abstract: A talk at the 2022 Interstellar Institute on why 2D 3D transformations, and paying attention to the dimensionality of data and display modes for it is so important in understanding the nature of the local interstellar medium.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Wednesday, July 20, 2022. Location: Institut Pascal, Paris, France.Abstract: A talk at the 2022 Interstellar Institute on why 2D 3D transformations, and paying attention to the dimensionality of data and display modes for it is so important in understanding the nature of the local interstellar medium.","Subject":"Astronomy and Astrophysics","Keywords":"data visualization, astrophysics, data science, visualization"},{"pid":"doi:10.7910/DVN/COQPFO","Title":"Seeing the Sky: Visualization and Astronomers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Seeing the Sky: Visualization and Astronomers' Description:'Wednesday, January 24, 2018.Location: Center for Mathematical Modeling Colloquium, University of Chile, Santiago, Chile. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization and Astronomers', given at the Center for Mathematical Modeling Colloquium, University of Chile, Santiago, Chile on January 24, 2018.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Seeing the Sky: Visualization and Astronomers' Description:'Wednesday, January 24, 2018.Location: Center for Mathematical Modeling Colloquium, University of Chile, Santiago, Chile. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization and Astronomers', given at the Center for Mathematical Modeling Colloquium, University of Chile, Santiago, Chile on January 24, 2018.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Wednesday, January 24, 2018.Location: Center for Mathematical Modeling Colloquium, University of Chile, Santiago, Chile. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization and Astronomers', given at the Center for Mathematical Modeling Colloquium, University of Chile, Santiago, Chile on January 24, 2018.","Subject":"Astronomy and Astrophysics","Keywords":"visualization"},{"pid":"doi:10.7910/DVN/CVUOWW","Title":"Volume Mixing Ratios of Major Atmospheric Components on Mars as Measured by MSL/SAM","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Volume Mixing Ratios of Major Atmospheric Components on Mars as Measured by MSL/SAM' Description:'Averaged instantaneous mixing ratios for major gases on Mars as measured by the Sample Analysis at Mars (SAM) instrument suite on Mars Science Laboratory. Raw data used to generate this dataset are freely available on NASA's Planetary Data System (PDS) Geosciences Node, from within six months after receipt on Earth (http://pds-geosciences.wustl.edu/missions/msl/). SAM data used are Reduced Data Records (RDR), Level 1A.Data have been processed using calibration approach described in:Franz et al., Franz, H. B., et al. (2017), Initial SAM calibration gas experiments on Mars: Quadrupole mass spectrometer results and implications, Planet. Space Sci., 138, 44-54, doi:10.1016/j.pss.2017.01.014.Franz, H. B., et al. (2014), Analytical Techniques for Retrieval of Atmospheric Gas Abundances and Isotope Ratios Measured by the Quadrupole Mass Spectrometer of the Sample Analysis at Mars Instrument Suite on Mars Science Laboratory, Planet. Space Sci., 96, 99-113, doi:10.1016/j.pss.2014.03.005.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Mars, atmosphere+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Volume Mixing Ratios of Major Atmospheric Components on Mars as Measured by MSL/SAM' Description:'Averaged instantaneous mixing ratios for major gases on Mars as measured by the Sample Analysis at Mars (SAM) instrument suite on Mars Science Laboratory. Raw data used to generate this dataset are freely available on NASA's Planetary Data System (PDS) Geosciences Node, from within six months after receipt on Earth (http://pds-geosciences.wustl.edu/missions/msl/). SAM data used are Reduced Data Records (RDR), Level 1A.Data have been processed using calibration approach described in:Franz et al., Franz, H. B., et al. (2017), Initial SAM calibration gas experiments on Mars: Quadrupole mass spectrometer results and implications, Planet. Space Sci., 138, 44-54, doi:10.1016/j.pss.2017.01.014.Franz, H. B., et al. (2014), Analytical Techniques for Retrieval of Atmospheric Gas Abundances and Isotope Ratios Measured by the Quadrupole Mass Spectrometer of the Sample Analysis at Mars Instrument Suite on Mars Science Laboratory, Planet. Space Sci., 96, 99-113, doi:10.1016/j.pss.2014.03.005.' Subject:'Astronomy and Astrophysics; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Averaged instantaneous mixing ratios for major gases on Mars as measured by the Sample Analysis at Mars (SAM) instrument suite on Mars Science Laboratory. Raw data used to generate this dataset are freely available on NASA's Planetary Data System (PDS) Geosciences Node, from within six months after receipt on Earth (http://pds-geosciences.wustl.edu/missions/msl/). SAM data used are Reduced Data Records (RDR), Level 1A.Data have been processed using calibration approach described in:Franz et al., Franz, H. B., et al. (2017), Initial SAM calibration gas experiments on Mars: Quadrupole mass spectrometer results and implications, Planet. Space Sci., 138, 44-54, doi:10.1016/j.pss.2017.01.014.Franz, H. B., et al. (2014), Analytical Techniques for Retrieval of Atmospheric Gas Abundances and Isotope Ratios Measured by the Quadrupole Mass Spectrometer of the Sample Analysis at Mars Instrument Suite on Mars Science Laboratory, Planet. Space Sci., 96, 99-113, doi:10.1016/j.pss.2014.03.005.","Subject":"Astronomy and Astrophysics","Keywords":"Mars, atmosphere"},{"pid":"doi:10.7910/DVN/D6WJJN","Title":"Seeing the Sky: Visualization & Astronomers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Seeing the Sky: Visualization & Astronomers' Description:'Presentation Date: Wednesday, October 25, 2017.Location: Center for Computational Astrophysics at the Simons Foundation Flatiron Institute, Scientific Visualization Conference, NYC. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization & Astronomers' at the Center for Computational Astrophysics, Simons Foundation Flatiron Institute, NYC on October 25, 2017.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Seeing the Sky: Visualization & Astronomers' Description:'Presentation Date: Wednesday, October 25, 2017.Location: Center for Computational Astrophysics at the Simons Foundation Flatiron Institute, Scientific Visualization Conference, NYC. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization & Astronomers' at the Center for Computational Astrophysics, Simons Foundation Flatiron Institute, NYC on October 25, 2017.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Wednesday, October 25, 2017.Location: Center for Computational Astrophysics at the Simons Foundation Flatiron Institute, Scientific Visualization Conference, NYC. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization & Astronomers' at the Center for Computational Astrophysics, Simons Foundation Flatiron Institute, NYC on October 25, 2017.","Subject":"Astronomy and Astrophysics","Keywords":"visualization"},{"pid":"doi:10.7910/DVN/DD4MMG","Title":"ALMA H2CO data cubes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ALMA H2CO data cubes' Description:'ALMA H2CO data cubes from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary star; multiple star; protostar; radio astronomy; star formation; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ALMA H2CO data cubes' Description:'ALMA H2CO data cubes from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ALMA H2CO data cubes from VANDAM Perseus Survey","Subject":"Astronomy and Astrophysics","Keywords":"binary star; multiple star; protostar; radio astronomy; star formation; VLA"},{"pid":"doi:10.7910/DVN/DFLBEU","Title":"The Radcliffe Wave (AAS235 Press Conference Materials)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Radcliffe Wave (AAS235 Press Conference Materials)' Description:'Presentation Date: Tuesday, January 7, 2020.Location: 235th American Astronomical Society Meeting, Honolulu, Hawaii. Abstract: The Radcliffe Wave is a gigantic structure that defines the shape of the Sun's local neighborhood in the Milky Way Galaxy. Its existence was first presented officially in a paper in Nature (doi:10.1038/s41586-019-1874-z) by Alves et al. on January 7, 2020. View You Tube movie (auto-advancing slides): https://www.youtube.com/watch?v=asvl-y0GBD4' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization; Milky Way+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Radcliffe Wave (AAS235 Press Conference Materials)' Description:'Presentation Date: Tuesday, January 7, 2020.Location: 235th American Astronomical Society Meeting, Honolulu, Hawaii. Abstract: The Radcliffe Wave is a gigantic structure that defines the shape of the Sun's local neighborhood in the Milky Way Galaxy. Its existence was first presented officially in a paper in Nature (doi:10.1038/s41586-019-1874-z) by Alves et al. on January 7, 2020. View You Tube movie (auto-advancing slides): https://www.youtube.com/watch?v=asvl-y0GBD4' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Tuesday, January 7, 2020.Location: 235th American Astronomical Society Meeting, Honolulu, Hawaii. Abstract: The Radcliffe Wave is a gigantic structure that defines the shape of the Sun's local neighborhood in the Milky Way Galaxy. Its existence was first presented officially in a paper in Nature (doi:10.1038/s41586-019-1874-z) by Alves et al. on January 7, 2020. View You Tube movie (auto-advancing slides): https://www.youtube.com/watch?v=asvl-y0GBD4","Subject":"Astronomy and Astrophysics","Keywords":"data visualization; Milky Way"},{"pid":"doi:10.7910/DVN/DFM3BY","Title":"Replication Data for: An Ongoing Satellite-Ring Cycle of Mars and the Origins of Phobos and Deimos","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: An Ongoing Satellite-Ring Cycle of Mars and the Origins of Phobos and Deimos' Description:'Computer code and supporting data files to reproduce figures in the manuscript.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {phobos, deimos, ring, satellites+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: An Ongoing Satellite-Ring Cycle of Mars and the Origins of Phobos and Deimos' Description:'Computer code and supporting data files to reproduce figures in the manuscript.' Subject:'Astronomy and Astrophysics; Other; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Computer code and supporting data files to reproduce figures in the manuscript.","Subject":"Astronomy and Astrophysics","Keywords":"phobos, deimos, ring, satellites"},{"pid":"doi:10.7910/DVN/DFYHVS","Title":"The Value of High-Dimensional Data Visualization in Science","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Value of High-Dimensional Data Visualization in Science' Description:'Presentation Date: Monday, October 24, 2016.Location: Sorrento, Italy (remote). Abstract: These are the slides for Dr. Alyssa Goodmna's presentation 'The Value of High-Dimensional Data Visualization in Science?' given at the IAU Symposium 325: Astroinformatics in Heidelberg, Germany on Tuesday, October 24, 2016.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Value of High-Dimensional Data Visualization in Science' Description:'Presentation Date: Monday, October 24, 2016.Location: Sorrento, Italy (remote). Abstract: These are the slides for Dr. Alyssa Goodmna's presentation 'The Value of High-Dimensional Data Visualization in Science?' given at the IAU Symposium 325: Astroinformatics in Heidelberg, Germany on Tuesday, October 24, 2016.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Monday, October 24, 2016.Location: Sorrento, Italy (remote). Abstract: These are the slides for Dr. Alyssa Goodmna's presentation 'The Value of High-Dimensional Data Visualization in Science?' given at the IAU Symposium 325: Astroinformatics in Heidelberg, Germany on Tuesday, October 24, 2016.","Subject":"Astronomy and Astrophysics","Keywords":"data visualization"},{"pid":"doi:10.7910/DVN/DIDG1C","Title":"The Dark Web of Star Formation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Dark Web of Star Formation' Description:'Presentation Date: Monday, October 2, 2017.Location: Ithaca, NY. Abstract: Stars form in the darkest regions of our Galaxy. Barnard’s deep, wide-field, photographs revealed web-like structures within these regions 100 years ago. But, somehow, it took a century--until roughly now-- for us to realize that the detailed structure of Barnard’s “dark webs” might hold astrophysical secrets. Over the past few decades, ever-higher-resolution multi-wavelength observations and simulations of interstellar gas and dust have all revealed more and more intricate networks and twists of filaments on scales from hundreths to hundreds of parsecs. We are relatively certain that the interplay of gravity, stellar feedback, and magnetic fields creates the features of the dark web we see, but we are not sure how long it takes to create the various structures, how long they last, or how (much) matter flows along them. On the largest scales, I will discuss the extraordinarily long and thin “Bones” of the Galaxy, and on the smallest scales, I will zoom in on stellar nurseries where new interferomeric observations and new MHD simulations combine to suggest that stars may form through very asymmetric, and potentially sporadic, accretion processes, rather than through the slow gravitational collapse of an isolated blob of gas.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {star formation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Dark Web of Star Formation' Description:'Presentation Date: Monday, October 2, 2017.Location: Ithaca, NY. Abstract: Stars form in the darkest regions of our Galaxy. Barnard’s deep, wide-field, photographs revealed web-like structures within these regions 100 years ago. But, somehow, it took a century--until roughly now-- for us to realize that the detailed structure of Barnard’s “dark webs” might hold astrophysical secrets. Over the past few decades, ever-higher-resolution multi-wavelength observations and simulations of interstellar gas and dust have all revealed more and more intricate networks and twists of filaments on scales from hundreths to hundreds of parsecs. We are relatively certain that the interplay of gravity, stellar feedback, and magnetic fields creates the features of the dark web we see, but we are not sure how long it takes to create the various structures, how long they last, or how (much) matter flows along them. On the largest scales, I will discuss the extraordinarily long and thin “Bones” of the Galaxy, and on the smallest scales, I will zoom in on stellar nurseries where new interferomeric observations and new MHD simulations combine to suggest that stars may form through very asymmetric, and potentially sporadic, accretion processes, rather than through the slow gravitational collapse of an isolated blob of gas.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Monday, October 2, 2017.Location: Ithaca, NY. Abstract: Stars form in the darkest regions of our Galaxy. Barnard’s deep, wide-field, photographs revealed web-like structures within these regions 100 years ago. But, somehow, it took a century--until roughly now-- for us to realize that the detailed structure of Barnard’s “dark webs” might hold astrophysical secrets. Over the past few decades, ever-higher-resolution multi-wavelength observations and simulations of interstellar gas and dust have all revealed more and more intricate networks and twists of filaments on scales from hundreths to hundreds of parsecs. We are relatively certain that the interplay of gravity, stellar feedback, and magnetic fields creates the features of the dark web we see, but we are not sure how long it takes to create the various structures, how long they last, or how (much) matter flows along them. On the largest scales, I will discuss the extraordinarily long and thin “Bones” of the Galaxy, and on the smallest scales, I will zoom in on stellar nurseries where new interferomeric observations and new MHD simulations combine to suggest that stars may form through very asymmetric, and potentially sporadic, accretion processes, rather than through the slow gravitational collapse of an isolated blob of gas.","Subject":"Astronomy and Astrophysics","Keywords":"star formation"},{"pid":"doi:10.7910/DVN/DYAFMD","Title":"WorldWide Telescope in Astrophysical Research","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'WorldWide Telescope in Astrophysical Research' Description:'Presentation Date: Monday, May 2, 2016.Location: Cambridge, MA.Abstract: WorldWide Telescope SlidePalmer Smithsonian Presentation, overview of Goodman projects.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'WorldWide Telescope in Astrophysical Research' Description:'Presentation Date: Monday, May 2, 2016.Location: Cambridge, MA.Abstract: WorldWide Telescope SlidePalmer Smithsonian Presentation, overview of Goodman projects.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Monday, May 2, 2016.Location: Cambridge, MA.Abstract: WorldWide Telescope SlidePalmer Smithsonian Presentation, overview of Goodman projects.","Subject":"Astronomy and Astrophysics","Keywords":"visualization"},{"pid":"doi:10.7910/DVN/DZYLHK","Title":"GSEP Dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GSEP Dataset' Description:'We introduce a new integrated catalog of over 400 SEP events extending from 1986 to 2017. We also make an openly accessible homogeneous time series dataset of proton fluxes extracted from the Geostationary Operating Satellites (GOES).' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {solar energetic particle events, solar proton events, SEP catalog, space weather, multivariate time series+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GSEP Dataset' Description:'We introduce a new integrated catalog of over 400 SEP events extending from 1986 to 2017. We also make an openly accessible homogeneous time series dataset of proton fluxes extracted from the Geostationary Operating Satellites (GOES).' Subject:'Astronomy and Astrophysics; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We introduce a new integrated catalog of over 400 SEP events extending from 1986 to 2017. We also make an openly accessible homogeneous time series dataset of proton fluxes extracted from the Geostationary Operating Satellites (GOES).","Subject":"Astronomy and Astrophysics","Keywords":"solar energetic particle events, solar proton events, SEP catalog, space weather, multivariate time series"},{"pid":"doi:10.7910/DVN/E5YYZ7","Title":"Climbing the Cosmic Distance Ladder 'in' a WorldWide Telescope","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Climbing the Cosmic Distance Ladder 'in' a WorldWide Telescope' Description:'Presentation Date: Tuesday, November 27, 2018. Location: Radcliffe Institute for Advanced Study, Cambridge, MA.Abstract: Presented, with Prof. João Alves, as part of:Stairway to Heaven: Henrietta Leavitt and the Cosmic Distance LadderA talk in the MEASURE GALLERY SERIES, held in the Johnson-Kulukundis Family Gallery of Byerly Hall at Radcliffe, Harvard students, faculty, and staff members from across the disciplinary spectrum came to see and respond to Anna Von Mertens’s work, which itself captures the work of the early 'computers' at Harvard, most notably for Mertens, Henrietta Leavitt--discoverer of the 'Leavitt Law,' relating the period and luminosity of Cepheid variable stars.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {WorldWide Telescope+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Climbing the Cosmic Distance Ladder 'in' a WorldWide Telescope' Description:'Presentation Date: Tuesday, November 27, 2018. Location: Radcliffe Institute for Advanced Study, Cambridge, MA.Abstract: Presented, with Prof. João Alves, as part of:Stairway to Heaven: Henrietta Leavitt and the Cosmic Distance LadderA talk in the MEASURE GALLERY SERIES, held in the Johnson-Kulukundis Family Gallery of Byerly Hall at Radcliffe, Harvard students, faculty, and staff members from across the disciplinary spectrum came to see and respond to Anna Von Mertens’s work, which itself captures the work of the early 'computers' at Harvard, most notably for Mertens, Henrietta Leavitt--discoverer of the 'Leavitt Law,' relating the period and luminosity of Cepheid variable stars.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Tuesday, November 27, 2018. Location: Radcliffe Institute for Advanced Study, Cambridge, MA.Abstract: Presented, with Prof. João Alves, as part of:Stairway to Heaven: Henrietta Leavitt and the Cosmic Distance LadderA talk in the MEASURE GALLERY SERIES, held in the Johnson-Kulukundis Family Gallery of Byerly Hall at Radcliffe, Harvard students, faculty, and staff members from across the disciplinary spectrum came to see and respond to Anna Von Mertens’s work, which itself captures the work of the early 'computers' at Harvard, most notably for Mertens, Henrietta Leavitt--discoverer of the 'Leavitt Law,' relating the period and luminosity of Cepheid variable stars.","Subject":"Astronomy and Astrophysics","Keywords":"WorldWide Telescope"},{"pid":"doi:10.7910/DVN/E7KYJU","Title":"Contributions to Jupiter's Gravity Field from Dynamics in the Dynamo Region","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Contributions to Jupiter's Gravity Field from Dynamics in the Dynamo Region' Description:'We derive physically motivated dynamo zonal flow profiles and calculate their associated gravity harmonics (J2-J10). The dynamo zonal flow profiles with RMS velocities of 10 cm/s are shown for (a, b) simple polynomial and (c, d) minimal Ohmic dissipation models of the poloidal magnetic field. The zonal gravity harmonics for each flow profile are tabulated and compared to the gravity harmonics produced by ~3000 km deep atmospheric zonal flow (Kaspi et al., 2018) and the odd gravity harmonics measured by Juno (Iess et al., 2018). The gravity harmonics that the dynamo region significantly contributes to are highlighted in red.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Jupiter, gravity, zonal flows+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Contributions to Jupiter's Gravity Field from Dynamics in the Dynamo Region' Description:'We derive physically motivated dynamo zonal flow profiles and calculate their associated gravity harmonics (J2-J10). The dynamo zonal flow profiles with RMS velocities of 10 cm/s are shown for (a, b) simple polynomial and (c, d) minimal Ohmic dissipation models of the poloidal magnetic field. The zonal gravity harmonics for each flow profile are tabulated and compared to the gravity harmonics produced by ~3000 km deep atmospheric zonal flow (Kaspi et al., 2018) and the odd gravity harmonics measured by Juno (Iess et al., 2018). The gravity harmonics that the dynamo region significantly contributes to are highlighted in red.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We derive physically motivated dynamo zonal flow profiles and calculate their associated gravity harmonics (J2-J10). The dynamo zonal flow profiles with RMS velocities of 10 cm/s are shown for (a, b) simple polynomial and (c, d) minimal Ohmic dissipation models of the poloidal magnetic field. The zonal gravity harmonics for each flow profile are tabulated and compared to the gravity harmonics produced by ~3000 km deep atmospheric zonal flow (Kaspi et al., 2018) and the odd gravity harmonics measured by Juno (Iess et al., 2018). The gravity harmonics that the dynamo region significantly contributes to are highlighted in red.","Subject":"Astronomy and Astrophysics","Keywords":"Jupiter, gravity, zonal flows"},{"pid":"doi:10.7910/DVN/E7V72M","Title":"Chirality of Chromospheric Filaments","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Chirality of Chromospheric Filaments' Description:'The chirality of 2310 filaments manually measured using H-alpha images observed between 2000 and 2001 at Big Bear Solar Observatory. This dataset was used in the following publication: Pevtsov, A. A., Balasubramaniam, K. S., and Rogers, W. J.: 2003, 'Chirality of Chromospheric Filaments' , Astrophys. Journal, 595 (1), 500-505, DOI: 10.1086/377339.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Sun: filaments, chirality+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Chirality of Chromospheric Filaments' Description:'The chirality of 2310 filaments manually measured using H-alpha images observed between 2000 and 2001 at Big Bear Solar Observatory. This dataset was used in the following publication: Pevtsov, A. A., Balasubramaniam, K. S., and Rogers, W. J.: 2003, 'Chirality of Chromospheric Filaments' , Astrophys. Journal, 595 (1), 500-505, DOI: 10.1086/377339.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The chirality of 2310 filaments manually measured using H-alpha images observed between 2000 and 2001 at Big Bear Solar Observatory. This dataset was used in the following publication: Pevtsov, A. A., Balasubramaniam, K. S., and Rogers, W. J.: 2003, 'Chirality of Chromospheric Filaments' , Astrophys. Journal, 595 (1), 500-505, DOI: 10.1086/377339.","Subject":"Astronomy and Astrophysics","Keywords":"Sun: filaments, chirality"},{"pid":"doi:10.7910/DVN/EBCFKM","Title":"SWAN-SF","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SWAN-SF' Description:'We introduce and make openly accessible a comprehensive, multivariate timeseries (MVTS) data extracted from solar photospheric vector magnetograms inSpaceweather HMI Active Region Patch (SHARP) series.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {flare prediction; multivariate time series; space weather analytics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SWAN-SF' Description:'We introduce and make openly accessible a comprehensive, multivariate timeseries (MVTS) data extracted from solar photospheric vector magnetograms inSpaceweather HMI Active Region Patch (SHARP) series.' Subject:'Astronomy and Astrophysics; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We introduce and make openly accessible a comprehensive, multivariate timeseries (MVTS) data extracted from solar photospheric vector magnetograms inSpaceweather HMI Active Region Patch (SHARP) series.","Subject":"Astronomy and Astrophysics","Keywords":"flare prediction; multivariate time series; space weather analytics"},{"pid":"doi:10.7910/DVN/EF4QKP","Title":"SMC-Last Mosaics - 2022 August","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SMC-Last Mosaics - 2022 August' Description:'The SMC-Last project mapped the Small Magellanic Cloud (SMC) with Spitzer'sInfrared Array Camera (IRAC) at 3.6 and 4.5 um during 2 epochs, once in 2017 August-September and a second time 2017 November-2018 February.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Infrared astronomy; Small Magellanic Cloud+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SMC-Last Mosaics - 2022 August' Description:'The SMC-Last project mapped the Small Magellanic Cloud (SMC) with Spitzer'sInfrared Array Camera (IRAC) at 3.6 and 4.5 um during 2 epochs, once in 2017 August-September and a second time 2017 November-2018 February.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The SMC-Last project mapped the Small Magellanic Cloud (SMC) with Spitzer'sInfrared Array Camera (IRAC) at 3.6 and 4.5 um during 2 epochs, once in 2017 August-September and a second time 2017 November-2018 February.","Subject":"Astronomy and Astrophysics","Keywords":"Infrared astronomy; Small Magellanic Cloud"},{"pid":"doi:10.7910/DVN/ERQTHO","Title":"Prediction vs. Prophecy","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Prediction vs. Prophecy' Description:'Presentation Date: Tuesday, May 26, 2020.Location: Harvard and Radcliffe College Reunions at Home Virtual Program. Abstract: An interactive hour with Alyssa Goodman, Robert Wheeler Willson Professor of Applied Astronomy and Co-Director for Science at the Radcliffe Institute for Advanced Study, as we explore the Prediction Project. The Prediction Project examines humankind’s efforts to predict the future and spans methods ranging from the ancient Mesopotamian's practice of reading entrails to modern computer simulations of climate change. Professor Goodman will especially highlight the “Path to Newton” element of the Prediction Project. The richly illustrated 'Path', available online at path-to.org, illustrates and describes the 3000-year history of who and what helped and hindered progress toward Isaac Newton creating a predictive theory of gravity.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Prediction vs. Prophecy' Description:'Presentation Date: Tuesday, May 26, 2020.Location: Harvard and Radcliffe College Reunions at Home Virtual Program. Abstract: An interactive hour with Alyssa Goodman, Robert Wheeler Willson Professor of Applied Astronomy and Co-Director for Science at the Radcliffe Institute for Advanced Study, as we explore the Prediction Project. The Prediction Project examines humankind’s efforts to predict the future and spans methods ranging from the ancient Mesopotamian's practice of reading entrails to modern computer simulations of climate change. Professor Goodman will especially highlight the “Path to Newton” element of the Prediction Project. The richly illustrated 'Path', available online at path-to.org, illustrates and describes the 3000-year history of who and what helped and hindered progress toward Isaac Newton creating a predictive theory of gravity.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Tuesday, May 26, 2020.Location: Harvard and Radcliffe College Reunions at Home Virtual Program. Abstract: An interactive hour with Alyssa Goodman, Robert Wheeler Willson Professor of Applied Astronomy and Co-Director for Science at the Radcliffe Institute for Advanced Study, as we explore the Prediction Project. The Prediction Project examines humankind’s efforts to predict the future and spans methods ranging from the ancient Mesopotamian's practice of reading entrails to modern computer simulations of climate change. Professor Goodman will especially highlight the “Path to Newton” element of the Prediction Project. The richly illustrated 'Path', available online at path-to.org, illustrates and describes the 3000-year history of who and what helped and hindered progress toward Isaac Newton creating a predictive theory of gravity.","Subject":"Astronomy and Astrophysics","Keywords":"prediction"},{"pid":"doi:10.7910/DVN/EY6MNT","Title":"Replication Data for: Impact crater morphology and the structure of Europa's ice shell","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impact crater morphology and the structure of Europa's ice shell' Description:'The iSALE simulation input files and compressed model outputs for: 'Impact crater morphology and the structure of Europa's ice shell', published in JGR - Planets; Authors: Elizabeth A. Silber and Brandon C. Johnson (2017)' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Europa, impact craters, crater morphology, ice shell+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impact crater morphology and the structure of Europa's ice shell' Description:'The iSALE simulation input files and compressed model outputs for: 'Impact crater morphology and the structure of Europa's ice shell', published in JGR - Planets; Authors: Elizabeth A. Silber and Brandon C. Johnson (2017)' Subject:'Astronomy and Astrophysics; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The iSALE simulation input files and compressed model outputs for: 'Impact crater morphology and the structure of Europa's ice shell', published in JGR - Planets; Authors: Elizabeth A. Silber and Brandon C. Johnson (2017)","Subject":"Astronomy and Astrophysics","Keywords":"Europa, impact craters, crater morphology, ice shell"},{"pid":"doi:10.7910/DVN/F4WDQI","Title":"The Skeleton of the Milky Way","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Skeleton of the Milky Way' Description:'Presentation Date: Tuesday, February 20, 2018.Location: Chilton Club, Boston, MA. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “The Skeleton of the Milky Way', given at the Chilton Club, Boston, MA on February 20, 2018.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Milky Way+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Skeleton of the Milky Way' Description:'Presentation Date: Tuesday, February 20, 2018.Location: Chilton Club, Boston, MA. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “The Skeleton of the Milky Way', given at the Chilton Club, Boston, MA on February 20, 2018.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Tuesday, February 20, 2018.Location: Chilton Club, Boston, MA. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “The Skeleton of the Milky Way', given at the Chilton Club, Boston, MA on February 20, 2018.","Subject":"Astronomy and Astrophysics","Keywords":"Milky Way"},{"pid":"doi:10.7910/DVN/FADJPL","Title":"Replication Data for: Mesospheric Mountain Wave Activity in the Lee of the Southern Andes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Mesospheric Mountain Wave Activity in the Lee of the Southern Andes' Description:'Advanced Mesospheric Temperature Mapper OH airglow image data obtained from Rio Grande, Argentina, between 15 March and 15 September, 2018' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Airglow; Mesosphere lower thermosphere; Mountain waves+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Mesospheric Mountain Wave Activity in the Lee of the Southern Andes' Description:'Advanced Mesospheric Temperature Mapper OH airglow image data obtained from Rio Grande, Argentina, between 15 March and 15 September, 2018' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Advanced Mesospheric Temperature Mapper OH airglow image data obtained from Rio Grande, Argentina, between 15 March and 15 September, 2018","Subject":"Astronomy and Astrophysics","Keywords":"Airglow; Mesosphere lower thermosphere; Mountain waves"},{"pid":"doi:10.7910/DVN/FBHP0A","Title":"ALMA 1.3mm continuum measurement sets","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ALMA 1.3mm continuum measurement sets' Description:'ALMA 1.3mm continuum measurement sets from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary star; multiple star; protostar; radio astronomy; star formation; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ALMA 1.3mm continuum measurement sets' Description:'ALMA 1.3mm continuum measurement sets from VANDAM Perseus Survey' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ALMA 1.3mm continuum measurement sets from VANDAM Perseus Survey","Subject":"Astronomy and Astrophysics","Keywords":"binary star; multiple star; protostar; radio astronomy; star formation; VLA"},{"pid":"doi:10.7910/DVN/FGRBNI","Title":"Seeing the Sky: Visualization & Astronomers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Seeing the Sky: Visualization & Astronomers' Description:'Presentation Date: Friday, February 9, 2018.Location: Northeastern University Visualization Consortium (NUVis), Boston, MA. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization & Astronomers' given at the 2018 Northeastern University Visualization Consortium (NUVis), Boston, MA on February 9, 2018.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Seeing the Sky: Visualization & Astronomers' Description:'Presentation Date: Friday, February 9, 2018.Location: Northeastern University Visualization Consortium (NUVis), Boston, MA. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization & Astronomers' given at the 2018 Northeastern University Visualization Consortium (NUVis), Boston, MA on February 9, 2018.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Friday, February 9, 2018.Location: Northeastern University Visualization Consortium (NUVis), Boston, MA. Abstract: These are the slides for Dr. Alyssa Goodman’s presentation “Seeing the Sky: Visualization & Astronomers' given at the 2018 Northeastern University Visualization Consortium (NUVis), Boston, MA on February 9, 2018.","Subject":"Astronomy and Astrophysics","Keywords":"visualization"},{"pid":"doi:10.7910/DVN/FJ4WZR","Title":"Sympathetic solar flare (1975-2017)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sympathetic solar flare (1975-2017)' Description:'Sympathetic solar flare (1975-2017)' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Solar flare+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sympathetic solar flare (1975-2017)' Description:'Sympathetic solar flare (1975-2017)' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Sympathetic solar flare (1975-2017)","Subject":"Astronomy and Astrophysics","Keywords":"Solar flare"},{"pid":"doi:10.7910/DVN/FMY6UR","Title":"Active region dipole moments determined from NSO carrington maps","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Active region dipole moments determined from NSO carrington maps' Description:'Citation and AcknowledgementsPlease cite both this database the paper describing it, as well as adding the following acknowledgement:'Active region dipole moments determined from NSO synoptic carrington maps were downloaded from the solar dynamo dataverse (https://dataverse.harvard.edu/dataverse/solardynamo), maintained by Andrés Muñoz-Jaramillo.' Database citation format is shown at the top of this page, underneath the database title. It can be downloaded in a variety of formats directly from this pageThe paper describing this database isT. Whitbread, A.R. Yeates and A. Muñoz-Jaramillo, How many active regions are necessary to predict to solar dipole moment?, The Astrophysical Journal 863, 116, (2018). https://ui.adsabs.harvard.edu/abs/2018ApJ...863..116W/abstractDescriptionDatabase of magnetic active region properties extracted from NSO synoptic carrington maps of the Sun's photospheric line-of-sight magnetic flux between carrington rotations CR 1641 and CR 2196 inclusive. Regions need not be bipolar, but rather can have complex, multipolar structures. The data were first used in Whitbread et al. (2018).The plot below summarizes the dataset, showing latitude versus time, coloured by axial dipole moment (saturated at 25% of maximum):Separate files are provided for each solar cycle, defined purely by date. The start dates used for each cycle are 1976-May-1, 1986-Mar-10, 1996-June-1 and 2008-Aug-03.In each file, the columns are as follows:Carrington rotation number.Carrington longitude of region centre [degrees].Latitude of region centre [degrees].Total magnetic flux of each polarity [Maxwells].Axial dipole moment at time of observation [Gauss].Important: The latitude and longitude denote the centroid of unsigned magnetic flux. Regions are not assumed to be bipolar, so tilt angle does not make sense as a measure. The more meaningful physical measure is axial dipole moment.The original carrington maps were downloaded from the NSO website: http://solis.nso.edu/0/vsm/vsm_maps.php.Before cr2007, data from the KPVT (868.8nm line) were used, and from cr2007 onwards we used data from SOLIS/VSM (630.2nm, line-of-sight magnetic flux, 360x180 resolution).The active regions and their properties were identified from the sequence of carrington maps using an automated procedure, as in the sft_data code (available at https://github.com/antyeates1983/sft_data). In this code, each region is defined as a connected area of strong magnetic flux, and is corrected for flux imbalance. Here we used the parameters sigma=3 and Bpar=39.8G.The properties given in this dataset were calculated at the time of observation of the region, before any further evolution.Main LimitationsThe main limitations of these data are:Sometimes, nearby active regions are classified as a single region by the automated method, and hence assigned an overall flux and dipole moment.Some regions are strong enough to be detected more than once in consecutive carrington rotations. In such cases, there is a separate entry in the database for each carrington rotation (i.e. there is no tracking of regions over time).Observational gaps in the original NSO synoptic maps mean that some regions are likely missing.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Active Regions; Solar Dynamo; Solar Magnetic Fields+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Active region dipole moments determined from NSO carrington maps' Description:'Citation and AcknowledgementsPlease cite both this database the paper describing it, as well as adding the following acknowledgement:'Active region dipole moments determined from NSO synoptic carrington maps were downloaded from the solar dynamo dataverse (https://dataverse.harvard.edu/dataverse/solardynamo), maintained by Andrés Muñoz-Jaramillo.' Database citation format is shown at the top of this page, underneath the database title. It can be downloaded in a variety of formats directly from this pageThe paper describing this database isT. Whitbread, A.R. Yeates and A. Muñoz-Jaramillo, How many active regions are necessary to predict to solar dipole moment?, The Astrophysical Journal 863, 116, (2018). https://ui.adsabs.harvard.edu/abs/2018ApJ...863..116W/abstractDescriptionDatabase of magnetic active region properties extracted from NSO synoptic carrington maps of the Sun's photospheric line-of-sight magnetic flux between carrington rotations CR 1641 and CR 2196 inclusive. Regions need not be bipolar, but rather can have complex, multipolar structures. The data were first used in Whitbread et al. (2018).The plot below summarizes the dataset, showing latitude versus time, coloured by axial dipole moment (saturated at 25% of maximum):Separate files are provided for each solar cycle, defined purely by date. The start dates used for each cycle are 1976-May-1, 1986-Mar-10, 1996-June-1 and 2008-Aug-03.In each file, the columns are as follows:Carrington rotation number.Carrington longitude of region centre [degrees].Latitude of region centre [degrees].Total magnetic flux of each polarity [Maxwells].Axial dipole moment at time of observation [Gauss].Important: The latitude and longitude denote the centroid of unsigned magnetic flux. Regions are not assumed to be bipolar, so tilt angle does not make sense as a measure. The more meaningful physical measure is axial dipole moment.The original carrington maps were downloaded from the NSO website: http://solis.nso.edu/0/vsm/vsm_maps.php.Before cr2007, data from the KPVT (868.8nm line) were used, and from cr2007 onwards we used data from SOLIS/VSM (630.2nm, line-of-sight magnetic flux, 360x180 resolution).The active regions and their properties were identified from the sequence of carrington maps using an automated procedure, as in the sft_data code (available at https://github.com/antyeates1983/sft_data). In this code, each region is defined as a connected area of strong magnetic flux, and is corrected for flux imbalance. Here we used the parameters sigma=3 and Bpar=39.8G.The properties given in this dataset were calculated at the time of observation of the region, before any further evolution.Main LimitationsThe main limitations of these data are:Sometimes, nearby active regions are classified as a single region by the automated method, and hence assigned an overall flux and dipole moment.Some regions are strong enough to be detected more than once in consecutive carrington rotations. In such cases, there is a separate entry in the database for each carrington rotation (i.e. there is no tracking of regions over time).Observational gaps in the original NSO synoptic maps mean that some regions are likely missing.' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Citation and AcknowledgementsPlease cite both this database the paper describing it, as well as adding the following acknowledgement:'Active region dipole moments determined from NSO synoptic carrington maps were downloaded from the solar dynamo dataverse (https://dataverse.harvard.edu/dataverse/solardynamo), maintained by Andrés Muñoz-Jaramillo.' Database citation format is shown at the top of this page, underneath the database title. It can be downloaded in a variety of formats directly from this pageThe paper describing this database isT. Whitbread, A.R. Yeates and A. Muñoz-Jaramillo, How many active regions are necessary to predict to solar dipole moment?, The Astrophysical Journal 863, 116, (2018). https://ui.adsabs.harvard.edu/abs/2018ApJ...863..116W/abstractDescriptionDatabase of magnetic active region properties extracted from NSO synoptic carrington maps of the Sun's photospheric line-of-sight magnetic flux between carrington rotations CR 1641 and CR 2196 inclusive. Regions need not be bipolar, but rather can have complex, multipolar structures. The data were first used in Whitbread et al. (2018).The plot below summarizes the dataset, showing latitude versus time, coloured by axial dipole moment (saturated at 25% of maximum):Separate files are provided for each solar cycle, defined purely by date. The start dates used for each cycle are 1976-May-1, 1986-Mar-10, 1996-June-1 and 2008-Aug-03.In each file, the columns are as follows:Carrington rotation number.Carrington longitude of region centre [degrees].Latitude of region centre [degrees].Total magnetic flux of each polarity [Maxwells].Axial dipole moment at time of observation [Gauss].Important: The latitude and longitude denote the centroid of unsigned magnetic flux. Regions are not assumed to be bipolar, so tilt angle does not make sense as a measure. The more meaningful physical measure is axial dipole moment.The original carrington maps were downloaded from the NSO website: http://solis.nso.edu/0/vsm/vsm_maps.php.Before cr2007, data from the KPVT (868.8nm line) were used, and from cr2007 onwards we used data from SOLIS/VSM (630.2nm, line-of-sight magnetic flux, 360x180 resolution).The active regions and their properties were identified from the sequence of carrington maps using an automated procedure, as in the sft_data code (available at https://github.com/antyeates1983/sft_data). In this code, each region is defined as a connected area of strong magnetic flux, and is corrected for flux imbalance. Here we used the parameters sigma=3 and Bpar=39.8G.The properties given in this dataset were calculated at the time of observation of the region, before any further evolution.Main LimitationsThe main limitations of these data are:Sometimes, nearby active regions are classified as a single region by the automated method, and hence assigned an overall flux and dipole moment.Some regions are strong enough to be detected more than once in consecutive carrington rotations. In such cases, there is a separate entry in the database for each carrington rotation (i.e. there is no tracking of regions over time).Observational gaps in the original NSO synoptic maps mean that some regions are likely missing.","Subject":"Astronomy and Astrophysics","Keywords":"Active Regions; Solar Dynamo; Solar Magnetic Fields"},{"pid":"doi:10.7910/DVN/FTOHSO","Title":"ARO SMT Survey of the California Molecular Cloud","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ARO SMT Survey of the California Molecular Cloud' Description:'3D position-position-velocity cubes of J=2-1 12CO, 13CO, and C18O emission in the California Molecular Cloud completed using the Arizona Radio Observatory Heinrich Hertz Submillimeter Telescope convolved to a beam size (FWHM) of 38' and 0.3 km/s spectral resolution. Brightness units are in Tmb [K], and velocity is in km/s. Observations completed Nov 2012 - Apr 2013. If you use this data in your paper, please include a citation to this dataverse and the corresponding paper - Lewis et al. (2020)' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CO Survey+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ARO SMT Survey of the California Molecular Cloud' Description:'3D position-position-velocity cubes of J=2-1 12CO, 13CO, and C18O emission in the California Molecular Cloud completed using the Arizona Radio Observatory Heinrich Hertz Submillimeter Telescope convolved to a beam size (FWHM) of 38' and 0.3 km/s spectral resolution. Brightness units are in Tmb [K], and velocity is in km/s. Observations completed Nov 2012 - Apr 2013. If you use this data in your paper, please include a citation to this dataverse and the corresponding paper - Lewis et al. (2020)' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"3D position-position-velocity cubes of J=2-1 12CO, 13CO, and C18O emission in the California Molecular Cloud completed using the Arizona Radio Observatory Heinrich Hertz Submillimeter Telescope convolved to a beam size (FWHM) of 38' and 0.3 km/s spectral resolution. Brightness units are in Tmb [K], and velocity is in km/s. Observations completed Nov 2012 - Apr 2013. If you use this data in your paper, please include a citation to this dataverse and the corresponding paper - Lewis et al. (2020)","Subject":"Astronomy and Astrophysics","Keywords":"CO Survey"},{"pid":"doi:10.7910/DVN/FZSPB3","Title":"Replication Data for: ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda' Description:'ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda.National Information Technology Authority - Uganda.' Subject:' Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ICT Policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda' Description:'ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda.National Information Technology Authority - Uganda.' Subject:'Agricultural Sciences; Arts and Humanities; Astronomy and Astrophysics; Business and Management; Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering; Law; Mathematical Sciences; Medicine, Health and Life Sciences; Other; Physics; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda.National Information Technology Authority - Uganda.","Subject":" Astronomy and Astrophysics","Keywords":"ICT Policy"},{"pid":"doi:10.7910/DVN/FZZAJD","Title":"Keynote Address: Seeing Science","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Keynote Address: Seeing Science' Description:'Presentation Date: Friday, April 29, 2016.Location: Cambridge, MA.Abstract: Harvard Alumni Association Board of Directors' Spring Lunch Meeting, Harvard University' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Keynote Address: Seeing Science' Description:'Presentation Date: Friday, April 29, 2016.Location: Cambridge, MA.Abstract: Harvard Alumni Association Board of Directors' Spring Lunch Meeting, Harvard University' Subject:'Astronomy and Astrophysics; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Friday, April 29, 2016.Location: Cambridge, MA.Abstract: Harvard Alumni Association Board of Directors' Spring Lunch Meeting, Harvard University","Subject":"Astronomy and Astrophysics","Keywords":"visualization"},{"pid":"doi:10.7910/DVN/G2VENZ","Title":"MRO MARCI Mars Daily Global Maps V1","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MRO MARCI Mars Daily Global Maps V1' Description:'This archive is for Version 1 Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) Mars Daily Global Maps (MDGMs). They are generated following the method described in Wang and Richardson [2015]. Each MDGM is a global map (180W-180E, 90S-90N) on a 0.1 degree longitude by 0.1 degree latitude grid. It is composed using 13 consecutive sets of MRO MARCI global image swaths taken around 3PM local time during the time period of about one sol. MDGMs are stretched for easy identification of discrete dust storms and clouds above the background. This release contains the first four MARCI years of data which includes the 'P', 'B', 'G' and 'D' subphases. Version 2 MRO MARCI MDGMs are being released on ASTROPEDIA (astrogeology.usgs.gov) as they become available. A replication of the Version 2 MRO MARCI MDGMs can also be found on Harvard Dataverse at https://doi.org/10.7910/DVN/U3766S.For MGS MOC MDGMs, please visit https://doi.org/10.7910/DVN/WWRT1V.' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Mars; Mars Daily Global Map; Mars Reconnaissance Orbiter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MRO MARCI Mars Daily Global Maps V1' Description:'This archive is for Version 1 Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) Mars Daily Global Maps (MDGMs). They are generated following the method described in Wang and Richardson [2015]. Each MDGM is a global map (180W-180E, 90S-90N) on a 0.1 degree longitude by 0.1 degree latitude grid. It is composed using 13 consecutive sets of MRO MARCI global image swaths taken around 3PM local time during the time period of about one sol. MDGMs are stretched for easy identification of discrete dust storms and clouds above the background. This release contains the first four MARCI years of data which includes the 'P', 'B', 'G' and 'D' subphases. Version 2 MRO MARCI MDGMs are being released on ASTROPEDIA (astrogeology.usgs.gov) as they become available. A replication of the Version 2 MRO MARCI MDGMs can also be found on Harvard Dataverse at https://doi.org/10.7910/DVN/U3766S.For MGS MOC MDGMs, please visit https://doi.org/10.7910/DVN/WWRT1V.' Subject:'Astronomy and Astrophysics; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This archive is for Version 1 Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) Mars Daily Global Maps (MDGMs). They are generated following the method described in Wang and Richardson [2015]. Each MDGM is a global map (180W-180E, 90S-90N) on a 0.1 degree longitude by 0.1 degree latitude grid. It is composed using 13 consecutive sets of MRO MARCI global image swaths taken around 3PM local time during the time period of about one sol. MDGMs are stretched for easy identification of discrete dust storms and clouds above the background. This release contains the first four MARCI years of data which includes the 'P', 'B', 'G' and 'D' subphases. Version 2 MRO MARCI MDGMs are being released on ASTROPEDIA (astrogeology.usgs.gov) as they become available. A replication of the Version 2 MRO MARCI MDGMs can also be found on Harvard Dataverse at https://doi.org/10.7910/DVN/U3766S.For MGS MOC MDGMs, please visit https://doi.org/10.7910/DVN/WWRT1V.","Subject":"Astronomy and Astrophysics","Keywords":"Mars; Mars Daily Global Map; Mars Reconnaissance Orbiter"},{"pid":"doi:10.7910/DVN/GIJZTS","Title":"Seeing Science","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Seeing Science' Description:'Presentation Date: Wednesday, April 6, 2016.Location: Lexington Community Education; Lexington, MA.Abstract: Special Community Event, Lexington Community Education' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Seeing Science' Description:'Presentation Date: Wednesday, April 6, 2016.Location: Lexington Community Education; Lexington, MA.Abstract: Special Community Event, Lexington Community Education' Subject:'Astronomy and Astrophysics; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Wednesday, April 6, 2016.Location: Lexington Community Education; Lexington, MA.Abstract: Special Community Event, Lexington Community Education","Subject":"Astronomy and Astrophysics","Keywords":"visualization"},{"pid":"doi:10.7910/DVN/GIW7A4","Title":"Per27 - NGC1333 IRAS2A","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Per27 - NGC1333 IRAS2A' Description:'Per-emb-27/NGC 1333 IRAS2A Ka-band data from VANDAM Survey' Subject:'Astronomy and Astrophysics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {binary; disk; protostar; VLA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Per27 - NGC1333 IRAS2A' Description:'Per-emb-27/NGC 1333 IRAS2A Ka-band data from VANDAM Survey' Subject:'Astronomy and Astrophysics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Per-emb-27/NGC 1333 IRAS2A Ka-band data from VANDAM Survey","Subject":"Astronomy and Astrophysics","Keywords":"binary; disk; protostar; VLA"},{"pid":"doi:10.11588/data/0B5VML","Title":"GermEval-2018 Corpus (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GermEval-2018 Corpus (DE)' Description:'This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {German; GermEval Shared Task; offensive language; sentiment; social media; tweets; Twitter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GermEval-2018 Corpus (DE)' Description:'This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.","Subject":"Arts and Humanities","Keywords":"German; GermEval Shared Task; offensive language; sentiment; social media; tweets; Twitter"},{"pid":"doi:10.11588/data/0HJAJS","Title":"Erzählte Inschriften in der Literatur des Mittelalters (Projektdatenbank)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Erzählte Inschriften in der Literatur des Mittelalters (Projektdatenbank)' Description:'Diese Datenpublikation entstammt dem Teilprojekt C05 (»Inschriftlichkeit. Reflexionen materialer Textkultur in der Literatur des 12. bis 17. Jahrhunderts«) des Sonderforschungsbereichs 933 (»Materiale Textkulturen«). Im Rahmen des Teilprojekts werden erzählte Inschriften in der mittelalterlichen Literatur gesammelt und auf einer Website öffentlich zugänglich gemacht. Diese Datenpublikation enthält den Datensatz, auf dem diese Website beruht. Das Projekt ist noch nicht abgeschlossen. Als Inschrift zählt Geschriebenes, das a) nicht zu den gängigen Formen von Schriftlichkeit gehört (also nicht mit üblichen Hilfsmitteln auf Pergament und Papier geschrieben ist) und/oder Geschriebenes, b) bei dem von einer intensiven Verbindung von Inhalt und Schriftträger auszugehen ist. Der Ausgangspunkt der Sammlung sind deutschsprachige erzählte Inschriften vor 1700. Seit der zweiten Projektphase werden zudem verstärkt erzählte Inschriften im Altnordischen, Alt- und Mittelenglischen sowie im Mittellateinischen gesammelt. Für eine dritte Projektphase ist eine ausführlichere Sammlung von mittellateinischen und altfranzösischen Textstellen geplant.Belege aus der altfranzösischen und mittellateinischen Literatur sind in der Datenpublikation bisher nur exemplarisch verzeichnet. Demgegenüber dürften die Belege für die englische und skandinavische Literatur des Mittelalters recht vollständig sein. Ebenfalls recht vollständig abgedeckt ist die deutschsprachige höfische Literatur des 12.-14. Jahrhunderts. Der Bereich der geistlichen und historiographischen deutschsprachigen Literatur wurde nicht systematisch durchgesehen.Gesammelt wurden die Daten vom Projektleiter (Ludger Lieb), von den ProjektmitarbeiterInnen (Frank Krabbes, Astrid Lembke, Michael R. Ott, Laura Velte), den studentischen Hilfskräften des Teilprojekts sowie von zwei Gastwissenschaftlerinnen: Katja Schulz (Altnordisch) und Christine Neufeld (Alt- und Mittelenglisch).' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Altenglisch; Altfranzösisch; Althochdeutsch; Altnordisch; Inschrift; Materialität; Mittelalter; Mittelenglisch; Mittelhochdeutsch; Mittellatein+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Erzählte Inschriften in der Literatur des Mittelalters (Projektdatenbank)' Description:'Diese Datenpublikation entstammt dem Teilprojekt C05 (»Inschriftlichkeit. Reflexionen materialer Textkultur in der Literatur des 12. bis 17. Jahrhunderts«) des Sonderforschungsbereichs 933 (»Materiale Textkulturen«). Im Rahmen des Teilprojekts werden erzählte Inschriften in der mittelalterlichen Literatur gesammelt und auf einer Website öffentlich zugänglich gemacht. Diese Datenpublikation enthält den Datensatz, auf dem diese Website beruht. Das Projekt ist noch nicht abgeschlossen. Als Inschrift zählt Geschriebenes, das a) nicht zu den gängigen Formen von Schriftlichkeit gehört (also nicht mit üblichen Hilfsmitteln auf Pergament und Papier geschrieben ist) und/oder Geschriebenes, b) bei dem von einer intensiven Verbindung von Inhalt und Schriftträger auszugehen ist. Der Ausgangspunkt der Sammlung sind deutschsprachige erzählte Inschriften vor 1700. Seit der zweiten Projektphase werden zudem verstärkt erzählte Inschriften im Altnordischen, Alt- und Mittelenglischen sowie im Mittellateinischen gesammelt. Für eine dritte Projektphase ist eine ausführlichere Sammlung von mittellateinischen und altfranzösischen Textstellen geplant.Belege aus der altfranzösischen und mittellateinischen Literatur sind in der Datenpublikation bisher nur exemplarisch verzeichnet. Demgegenüber dürften die Belege für die englische und skandinavische Literatur des Mittelalters recht vollständig sein. Ebenfalls recht vollständig abgedeckt ist die deutschsprachige höfische Literatur des 12.-14. Jahrhunderts. Der Bereich der geistlichen und historiographischen deutschsprachigen Literatur wurde nicht systematisch durchgesehen.Gesammelt wurden die Daten vom Projektleiter (Ludger Lieb), von den ProjektmitarbeiterInnen (Frank Krabbes, Astrid Lembke, Michael R. Ott, Laura Velte), den studentischen Hilfskräften des Teilprojekts sowie von zwei Gastwissenschaftlerinnen: Katja Schulz (Altnordisch) und Christine Neufeld (Alt- und Mittelenglisch).' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Diese Datenpublikation entstammt dem Teilprojekt C05 (»Inschriftlichkeit. Reflexionen materialer Textkultur in der Literatur des 12. bis 17. Jahrhunderts«) des Sonderforschungsbereichs 933 (»Materiale Textkulturen«). Im Rahmen des Teilprojekts werden erzählte Inschriften in der mittelalterlichen Literatur gesammelt und auf einer Website öffentlich zugänglich gemacht. Diese Datenpublikation enthält den Datensatz, auf dem diese Website beruht. Das Projekt ist noch nicht abgeschlossen. Als Inschrift zählt Geschriebenes, das a) nicht zu den gängigen Formen von Schriftlichkeit gehört (also nicht mit üblichen Hilfsmitteln auf Pergament und Papier geschrieben ist) und/oder Geschriebenes, b) bei dem von einer intensiven Verbindung von Inhalt und Schriftträger auszugehen ist. Der Ausgangspunkt der Sammlung sind deutschsprachige erzählte Inschriften vor 1700. Seit der zweiten Projektphase werden zudem verstärkt erzählte Inschriften im Altnordischen, Alt- und Mittelenglischen sowie im Mittellateinischen gesammelt. Für eine dritte Projektphase ist eine ausführlichere Sammlung von mittellateinischen und altfranzösischen Textstellen geplant.Belege aus der altfranzösischen und mittellateinischen Literatur sind in der Datenpublikation bisher nur exemplarisch verzeichnet. Demgegenüber dürften die Belege für die englische und skandinavische Literatur des Mittelalters recht vollständig sein. Ebenfalls recht vollständig abgedeckt ist die deutschsprachige höfische Literatur des 12.-14. Jahrhunderts. Der Bereich der geistlichen und historiographischen deutschsprachigen Literatur wurde nicht systematisch durchgesehen.Gesammelt wurden die Daten vom Projektleiter (Ludger Lieb), von den ProjektmitarbeiterInnen (Frank Krabbes, Astrid Lembke, Michael R. Ott, Laura Velte), den studentischen Hilfskräften des Teilprojekts sowie von zwei Gastwissenschaftlerinnen: Katja Schulz (Altnordisch) und Christine Neufeld (Alt- und Mittelenglisch).","Subject":"Arts and Humanities","Keywords":"Altenglisch; Altfranzösisch; Althochdeutsch; Altnordisch; Inschrift; Materialität; Mittelalter; Mittelenglisch; Mittelhochdeutsch; Mittellatein"},{"pid":"doi:10.11588/data/0QQVJK","Title":"Forschungsdaten zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Forschungsdaten zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'' Description:'Das Dataset enthält Katalogdaten und statistische Auswertungen inkl. Dokumentation (README) zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bildbeischriften; Flächenkunst; Flächenkunst, Malerei; Flächenkunst, Tesselatmosaik; Mosaikinschriften; Tituli/Bildbeischriften+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Forschungsdaten zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'' Description:'Das Dataset enthält Katalogdaten und statistische Auswertungen inkl. Dokumentation (README) zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Das Dataset enthält Katalogdaten und statistische Auswertungen inkl. Dokumentation (README) zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'.","Subject":"Arts and Humanities","Keywords":"Bildbeischriften; Flächenkunst; Flächenkunst, Malerei; Flächenkunst, Tesselatmosaik; Mosaikinschriften; Tituli/Bildbeischriften"},{"pid":"doi:10.11588/data/0QQVJK","Title":"Forschungsdaten zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Forschungsdaten zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'' Description:'This dataset contains catalog data and statistical analysis data including a short documentation (README file). The files belong to the PhD document 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst' (eng. 'Forms of interaction between images and ‘speaking’ captions in ancient flat art').' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bildbeischriften; Flächenkunst; Flächenkunst, Malerei; Flächenkunst, Tesselatmosaik; Mosaikinschriften; Tituli/Bildbeischriften+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Forschungsdaten zur Dissertation 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst'' Description:'This dataset contains catalog data and statistical analysis data including a short documentation (README file). The files belong to the PhD document 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst' (eng. 'Forms of interaction between images and ‘speaking’ captions in ancient flat art').' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains catalog data and statistical analysis data including a short documentation (README file). The files belong to the PhD document 'Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst' (eng. 'Forms of interaction between images and ‘speaking’ captions in ancient flat art').","Subject":"Arts and Humanities","Keywords":"Bildbeischriften; Flächenkunst; Flächenkunst, Malerei; Flächenkunst, Tesselatmosaik; Mosaikinschriften; Tituli/Bildbeischriften"},{"pid":"doi:10.11588/data/10016","Title":"Zur Keramikchronologie der Römischen Kaiserzeit in Ostwestfalen anhand der Siedlungen von Enger, Hüllhorst und Kirchlengern im Ravensberger Land [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Zur Keramikchronologie der Römischen Kaiserzeit in Ostwestfalen anhand der Siedlungen von Enger, Hüllhorst und Kirchlengern im Ravensberger Land [Dataset]' Description:'Dissertation über römisch-kaiserzeitliche Keramik aus Ostwestfalen, inkl. Datensätzen zu den (keramischen) Funden und den Befunden sowie den durchgeführten Seriationen; zu den Details siehe die Datei 'Erläuterungen'' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archäologie; Keramik; multivariate Statistik; Römische Kaiserzeit; Siedlungen; Westfalen+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Zur Keramikchronologie der Römischen Kaiserzeit in Ostwestfalen anhand der Siedlungen von Enger, Hüllhorst und Kirchlengern im Ravensberger Land [Dataset]' Description:'Dissertation über römisch-kaiserzeitliche Keramik aus Ostwestfalen, inkl. Datensätzen zu den (keramischen) Funden und den Befunden sowie den durchgeführten Seriationen; zu den Details siehe die Datei 'Erläuterungen'' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dissertation über römisch-kaiserzeitliche Keramik aus Ostwestfalen, inkl. Datensätzen zu den (keramischen) Funden und den Befunden sowie den durchgeführten Seriationen; zu den Details siehe die Datei 'Erläuterungen'","Subject":"Arts and Humanities","Keywords":"Archäologie; Keramik; multivariate Statistik; Römische Kaiserzeit; Siedlungen; Westfalen"},{"pid":"doi:10.11588/data/10064","Title":"Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Census; Russian Empire; USSR+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:'Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.","Subject":"Arts and Humanities","Keywords":"Census; Russian Empire; USSR"},{"pid":"doi:10.11588/data/10036","Title":"Die Itinerare der Pfalzgrafen bei Rhein 1200-1400","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Die Itinerare der Pfalzgrafen bei Rhein 1200-1400' Description:'Die hier zur Verfügung gestellte Datenbank enthält die Itinerare der Pfalzgrafen bei Rhein, beginnend mit der Belehnung Ludwigs I. und Ottos II. durch König Friedrich II. 1214 bis zum Beginn des Königtums Ruprechts III. im Jahr 1400. Die Einträge basieren fast ausschließlich auf den von Adolf Koch und Jakob Wille bearbeiteten „Regesten der Pfalzgrafen am Rhein“. Die Datenbank ermöglicht einen schnellen Zugriff auf Aufenthaltsorte und Reisewege der (rheinischen) Wittelsbacher im 13. und 14. Jahrhundert sowie die Visualisierung ihrer Itinerare. Die Daten wurden im Rahmen der von der DFG geförderten Emmy Noether-Gruppe „Rang und Ordnung. Ausbildung und Visualisierung politischer und sozialer Ordnung im spätmittelalterlichen Fürstentum im europäischen Vergleich“ (‚Rang und Ordnung’/PE 1515/2-1) und der vom ERC im Rahmen eines Starting Grants geförderten Forschungsgruppe „RANK“ (Finanzhilfevereinbarung Nr. 204905 [RANK] im Zuge des siebten Rahmenprogramms der Europäischen Gemeinschaft [RP 7/2007–2013]) erarbeitet. Itinerare sind für die mediävistische Forschung seit langem ein zentrales Mittel, Aktions- und Wirkungsradien von Herrschern zu erforschen. Ihre Erstellung und Interpretation ist dabei komplizierter, als es auf den ersten Blick scheinen mag. Die Quellenlage für das Heilige Römische Reich erlaubt es in der Regel, erst im Spätmittelalter einigermaßen verlässliche Reiserouten zu erstellen. Selbst dann gibt es oftmals längere Zeiträume, für die die Aufenthaltsorte insbesondere der Fürsten nicht bekannt sind. Die Verbindungslinien zwischen einzelnen Aufenthaltsorten können also trügerisch sein. Eine wesentliche Quelle für das Erstellen von Itineraren sind die durch den fraglichen Herrscher ausgestellten Urkunden mit den darin angegebenen Ausstellungsorten. Mit der Ausbildung ortsgebundener Kanzleien im 14. Jahrhundert jedoch ist der Zusammenhang zwischen Ausstellungsort der Urkunde und Aufenthaltsort ihres Ausstellers nicht mehr ohne Weiteres herzustellen (ganz abgesehen von der Frage des Zeitpunkts der Verhandlung des Gegenstands und der Ausstellung der entsprechenden Urkunde). Koch/Wille Nr. 3290, zum Beispiel, ist eine am 7. April 1361 in Heidelberg ausgestellte Urkunde Ruprechts I., der aber auch als Zeuge zweier am gleichen Tag in Nürnberg ausgestellten Urkunden Karls IV. genannt ist (Koch/Wille, Nr. 3291, 3292). Eine weitere Urkunde wurde in seinem Namen am 9. April in Heidelberg ausgestellt (Koch/Wille, Nr. 3293). Am 11. April aber war er nachweislich bei der Taufe von Karls IV. Sohn Wenzel in Nürnberg zugegen (Koch/Wille, Nr. 3294). In diesem Fall lässt sich die Diskrepanz in den Angaben und der tatsächliche Aufenthalt Ruprechts leicht ermitteln, in anderen Fällen ist dies schwieriger. Umfang der Datenbank Hier werden die Itinerardaten zu wittelsbachischen Pfalzgrafen bei Rhein zwischen 1214 und 1400 zur Verfügung gestellt. Erfasst sind die grundlegenden Informationen zum Itinerar. Dies beinhaltet den Namen des Pfalzgrafen, Ort und Datum der Urkundenausstellung sowie die Koordinaten des Orts. Für folgende Pfalzgrafen bei Rhein finden sich auf der Grundlage der Regesten Einträge: Ludwig I., Otto II., Ludwig II., Heinrich XIII., Rudolf I., Ludwig IV. bis 1330, Adolf, Rudolf II., Ruprecht I., Ruprecht II. und Ruprecht III. bis 1400. Darunter finden sich auch einige wenige Einträge zu Ruprecht Pipan (1375−1397), Sohn und präsumptiver Nachfolger Ruprechts III., die sich aus Urkunden Ruprechts II. und Ruprechts III. ergeben. Die Anzahl der Angaben pro Pfalzgraf schwanken erheblich. Aufgrund der deutlich höheren Belegdichte ist das Bild für das 14. Jahrhundert klarer als für das 13. Jahrhundert. Es werden über die Regesten keineswegs alle Quellen zu den Pfalzgrafen und ihren Aufenthaltsorten erfasst. Die Datenbank erhebt also nicht den Anspruch auf Vollständigkeit. Mehrere Regesteneinträge, die sich auf denselben Tag und Ort beziehen, wurden zu einem Eintrag in der Datenbank zusammengefasst. Dies betrifft vor allem das Auftreten des Pfalzgrafen als Zeuge von königlichen Urkunden. Nicht beachtet werden konnten Regesten ohne angegeben Ort oder mit heute nicht mehr nachvollziehbaren Ortsangaben. Funktionsweise und Möglichkeiten der Visualisierung Die Daten wurden für den internen Gebrauch als .mdb-Datei in einer Microsoft Access Datenbank zusammengetragen. Für die Visualisierung und Veröffentlichung liegt zusätzlich eine komprimierte Version der ausgewerteten Daten als Tabelle mit etwa 3600 Zeilen im .xlsx-Format (Microsoft Excel) vor. Zur Archivierung wurden die Daten in XML abgespeichert. Die Visualisierung erfolgte in einem ersten Schritt auf Google Earth (.kmz). Die Strukturierung der Itinerardaten in einer Datenbank bietet mehrere Vorteile gegenüber der klassischen Ansicht in Regestenwerken, sowohl im Hinblick auf die Analyse als auch die Visualisierung. Zu den Analysemöglichkeiten gehört eine mit Hilfe verschiedener Excel-Funktionen implementierte Zählung der einzelnen Aufenthaltsorte, durch die gezeigt und abgefragt werden kann, wie oft ein Pfalzgraf einen bestimmten Ort besuchte. Grundlage der Berechnungen ist für jeden Herrscher die Addition mehrmalig auftretender Aufenthaltsorte. Je häufiger ein Ort erscheint, umso größer wird das dazugehörige Icon bei der Visualisierung angezeigt. Um eine Vergleichbarkeit der Bedeutung einzelner Herrschaftszentren für verschiedene Pfalzgrafen zu gewährleisten, wurde mit verschiedenen Operationen die Icongröße mit der größten Aufenthaltszahl eines Pfalzgrafen gekoppelt. So hat der ‚Bedeutungswert‘ und damit die visualisierte Punktgröße Heidelbergs im Itinerar Ruprechts I. und Ruprecht Pipans denselben Wert, obwohl Erstgenannter über 600-mal hier residierte und Pipan lediglich sieben-mal. In Bezug auf die Bedeutung für das jeweilige Itinerar scheint Heidelberg aber für beide eine ähnlich hohe Bedeutung gehabt zu haben. Die Sichtung der Daten kann in der einfachsten Form mithilfe der .kmz-Datei in Google Earth erfolgen.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Itinerare; Pfalzgrafen bei Rhein+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Die Itinerare der Pfalzgrafen bei Rhein 1200-1400' Description:'Die hier zur Verfügung gestellte Datenbank enthält die Itinerare der Pfalzgrafen bei Rhein, beginnend mit der Belehnung Ludwigs I. und Ottos II. durch König Friedrich II. 1214 bis zum Beginn des Königtums Ruprechts III. im Jahr 1400. Die Einträge basieren fast ausschließlich auf den von Adolf Koch und Jakob Wille bearbeiteten „Regesten der Pfalzgrafen am Rhein“. Die Datenbank ermöglicht einen schnellen Zugriff auf Aufenthaltsorte und Reisewege der (rheinischen) Wittelsbacher im 13. und 14. Jahrhundert sowie die Visualisierung ihrer Itinerare. Die Daten wurden im Rahmen der von der DFG geförderten Emmy Noether-Gruppe „Rang und Ordnung. Ausbildung und Visualisierung politischer und sozialer Ordnung im spätmittelalterlichen Fürstentum im europäischen Vergleich“ (‚Rang und Ordnung’/PE 1515/2-1) und der vom ERC im Rahmen eines Starting Grants geförderten Forschungsgruppe „RANK“ (Finanzhilfevereinbarung Nr. 204905 [RANK] im Zuge des siebten Rahmenprogramms der Europäischen Gemeinschaft [RP 7/2007–2013]) erarbeitet. Itinerare sind für die mediävistische Forschung seit langem ein zentrales Mittel, Aktions- und Wirkungsradien von Herrschern zu erforschen. Ihre Erstellung und Interpretation ist dabei komplizierter, als es auf den ersten Blick scheinen mag. Die Quellenlage für das Heilige Römische Reich erlaubt es in der Regel, erst im Spätmittelalter einigermaßen verlässliche Reiserouten zu erstellen. Selbst dann gibt es oftmals längere Zeiträume, für die die Aufenthaltsorte insbesondere der Fürsten nicht bekannt sind. Die Verbindungslinien zwischen einzelnen Aufenthaltsorten können also trügerisch sein. Eine wesentliche Quelle für das Erstellen von Itineraren sind die durch den fraglichen Herrscher ausgestellten Urkunden mit den darin angegebenen Ausstellungsorten. Mit der Ausbildung ortsgebundener Kanzleien im 14. Jahrhundert jedoch ist der Zusammenhang zwischen Ausstellungsort der Urkunde und Aufenthaltsort ihres Ausstellers nicht mehr ohne Weiteres herzustellen (ganz abgesehen von der Frage des Zeitpunkts der Verhandlung des Gegenstands und der Ausstellung der entsprechenden Urkunde). Koch/Wille Nr. 3290, zum Beispiel, ist eine am 7. April 1361 in Heidelberg ausgestellte Urkunde Ruprechts I., der aber auch als Zeuge zweier am gleichen Tag in Nürnberg ausgestellten Urkunden Karls IV. genannt ist (Koch/Wille, Nr. 3291, 3292). Eine weitere Urkunde wurde in seinem Namen am 9. April in Heidelberg ausgestellt (Koch/Wille, Nr. 3293). Am 11. April aber war er nachweislich bei der Taufe von Karls IV. Sohn Wenzel in Nürnberg zugegen (Koch/Wille, Nr. 3294). In diesem Fall lässt sich die Diskrepanz in den Angaben und der tatsächliche Aufenthalt Ruprechts leicht ermitteln, in anderen Fällen ist dies schwieriger. Umfang der Datenbank Hier werden die Itinerardaten zu wittelsbachischen Pfalzgrafen bei Rhein zwischen 1214 und 1400 zur Verfügung gestellt. Erfasst sind die grundlegenden Informationen zum Itinerar. Dies beinhaltet den Namen des Pfalzgrafen, Ort und Datum der Urkundenausstellung sowie die Koordinaten des Orts. Für folgende Pfalzgrafen bei Rhein finden sich auf der Grundlage der Regesten Einträge: Ludwig I., Otto II., Ludwig II., Heinrich XIII., Rudolf I., Ludwig IV. bis 1330, Adolf, Rudolf II., Ruprecht I., Ruprecht II. und Ruprecht III. bis 1400. Darunter finden sich auch einige wenige Einträge zu Ruprecht Pipan (1375−1397), Sohn und präsumptiver Nachfolger Ruprechts III., die sich aus Urkunden Ruprechts II. und Ruprechts III. ergeben. Die Anzahl der Angaben pro Pfalzgraf schwanken erheblich. Aufgrund der deutlich höheren Belegdichte ist das Bild für das 14. Jahrhundert klarer als für das 13. Jahrhundert. Es werden über die Regesten keineswegs alle Quellen zu den Pfalzgrafen und ihren Aufenthaltsorten erfasst. Die Datenbank erhebt also nicht den Anspruch auf Vollständigkeit. Mehrere Regesteneinträge, die sich auf denselben Tag und Ort beziehen, wurden zu einem Eintrag in der Datenbank zusammengefasst. Dies betrifft vor allem das Auftreten des Pfalzgrafen als Zeuge von königlichen Urkunden. Nicht beachtet werden konnten Regesten ohne angegeben Ort oder mit heute nicht mehr nachvollziehbaren Ortsangaben. Funktionsweise und Möglichkeiten der Visualisierung Die Daten wurden für den internen Gebrauch als .mdb-Datei in einer Microsoft Access Datenbank zusammengetragen. Für die Visualisierung und Veröffentlichung liegt zusätzlich eine komprimierte Version der ausgewerteten Daten als Tabelle mit etwa 3600 Zeilen im .xlsx-Format (Microsoft Excel) vor. Zur Archivierung wurden die Daten in XML abgespeichert. Die Visualisierung erfolgte in einem ersten Schritt auf Google Earth (.kmz). Die Strukturierung der Itinerardaten in einer Datenbank bietet mehrere Vorteile gegenüber der klassischen Ansicht in Regestenwerken, sowohl im Hinblick auf die Analyse als auch die Visualisierung. Zu den Analysemöglichkeiten gehört eine mit Hilfe verschiedener Excel-Funktionen implementierte Zählung der einzelnen Aufenthaltsorte, durch die gezeigt und abgefragt werden kann, wie oft ein Pfalzgraf einen bestimmten Ort besuchte. Grundlage der Berechnungen ist für jeden Herrscher die Addition mehrmalig auftretender Aufenthaltsorte. Je häufiger ein Ort erscheint, umso größer wird das dazugehörige Icon bei der Visualisierung angezeigt. Um eine Vergleichbarkeit der Bedeutung einzelner Herrschaftszentren für verschiedene Pfalzgrafen zu gewährleisten, wurde mit verschiedenen Operationen die Icongröße mit der größten Aufenthaltszahl eines Pfalzgrafen gekoppelt. So hat der ‚Bedeutungswert‘ und damit die visualisierte Punktgröße Heidelbergs im Itinerar Ruprechts I. und Ruprecht Pipans denselben Wert, obwohl Erstgenannter über 600-mal hier residierte und Pipan lediglich sieben-mal. In Bezug auf die Bedeutung für das jeweilige Itinerar scheint Heidelberg aber für beide eine ähnlich hohe Bedeutung gehabt zu haben. Die Sichtung der Daten kann in der einfachsten Form mithilfe der .kmz-Datei in Google Earth erfolgen.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die hier zur Verfügung gestellte Datenbank enthält die Itinerare der Pfalzgrafen bei Rhein, beginnend mit der Belehnung Ludwigs I. und Ottos II. durch König Friedrich II. 1214 bis zum Beginn des Königtums Ruprechts III. im Jahr 1400. Die Einträge basieren fast ausschließlich auf den von Adolf Koch und Jakob Wille bearbeiteten „Regesten der Pfalzgrafen am Rhein“. Die Datenbank ermöglicht einen schnellen Zugriff auf Aufenthaltsorte und Reisewege der (rheinischen) Wittelsbacher im 13. und 14. Jahrhundert sowie die Visualisierung ihrer Itinerare. Die Daten wurden im Rahmen der von der DFG geförderten Emmy Noether-Gruppe „Rang und Ordnung. Ausbildung und Visualisierung politischer und sozialer Ordnung im spätmittelalterlichen Fürstentum im europäischen Vergleich“ (‚Rang und Ordnung’/PE 1515/2-1) und der vom ERC im Rahmen eines Starting Grants geförderten Forschungsgruppe „RANK“ (Finanzhilfevereinbarung Nr. 204905 [RANK] im Zuge des siebten Rahmenprogramms der Europäischen Gemeinschaft [RP 7/2007–2013]) erarbeitet. Itinerare sind für die mediävistische Forschung seit langem ein zentrales Mittel, Aktions- und Wirkungsradien von Herrschern zu erforschen. Ihre Erstellung und Interpretation ist dabei komplizierter, als es auf den ersten Blick scheinen mag. Die Quellenlage für das Heilige Römische Reich erlaubt es in der Regel, erst im Spätmittelalter einigermaßen verlässliche Reiserouten zu erstellen. Selbst dann gibt es oftmals längere Zeiträume, für die die Aufenthaltsorte insbesondere der Fürsten nicht bekannt sind. Die Verbindungslinien zwischen einzelnen Aufenthaltsorten können also trügerisch sein. Eine wesentliche Quelle für das Erstellen von Itineraren sind die durch den fraglichen Herrscher ausgestellten Urkunden mit den darin angegebenen Ausstellungsorten. Mit der Ausbildung ortsgebundener Kanzleien im 14. Jahrhundert jedoch ist der Zusammenhang zwischen Ausstellungsort der Urkunde und Aufenthaltsort ihres Ausstellers nicht mehr ohne Weiteres herzustellen (ganz abgesehen von der Frage des Zeitpunkts der Verhandlung des Gegenstands und der Ausstellung der entsprechenden Urkunde). Koch/Wille Nr. 3290, zum Beispiel, ist eine am 7. April 1361 in Heidelberg ausgestellte Urkunde Ruprechts I., der aber auch als Zeuge zweier am gleichen Tag in Nürnberg ausgestellten Urkunden Karls IV. genannt ist (Koch/Wille, Nr. 3291, 3292). Eine weitere Urkunde wurde in seinem Namen am 9. April in Heidelberg ausgestellt (Koch/Wille, Nr. 3293). Am 11. April aber war er nachweislich bei der Taufe von Karls IV. Sohn Wenzel in Nürnberg zugegen (Koch/Wille, Nr. 3294). In diesem Fall lässt sich die Diskrepanz in den Angaben und der tatsächliche Aufenthalt Ruprechts leicht ermitteln, in anderen Fällen ist dies schwieriger. Umfang der Datenbank Hier werden die Itinerardaten zu wittelsbachischen Pfalzgrafen bei Rhein zwischen 1214 und 1400 zur Verfügung gestellt. Erfasst sind die grundlegenden Informationen zum Itinerar. Dies beinhaltet den Namen des Pfalzgrafen, Ort und Datum der Urkundenausstellung sowie die Koordinaten des Orts. Für folgende Pfalzgrafen bei Rhein finden sich auf der Grundlage der Regesten Einträge: Ludwig I., Otto II., Ludwig II., Heinrich XIII., Rudolf I., Ludwig IV. bis 1330, Adolf, Rudolf II., Ruprecht I., Ruprecht II. und Ruprecht III. bis 1400. Darunter finden sich auch einige wenige Einträge zu Ruprecht Pipan (1375−1397), Sohn und präsumptiver Nachfolger Ruprechts III., die sich aus Urkunden Ruprechts II. und Ruprechts III. ergeben. Die Anzahl der Angaben pro Pfalzgraf schwanken erheblich. Aufgrund der deutlich höheren Belegdichte ist das Bild für das 14. Jahrhundert klarer als für das 13. Jahrhundert. Es werden über die Regesten keineswegs alle Quellen zu den Pfalzgrafen und ihren Aufenthaltsorten erfasst. Die Datenbank erhebt also nicht den Anspruch auf Vollständigkeit. Mehrere Regesteneinträge, die sich auf denselben Tag und Ort beziehen, wurden zu einem Eintrag in der Datenbank zusammengefasst. Dies betrifft vor allem das Auftreten des Pfalzgrafen als Zeuge von königlichen Urkunden. Nicht beachtet werden konnten Regesten ohne angegeben Ort oder mit heute nicht mehr nachvollziehbaren Ortsangaben. Funktionsweise und Möglichkeiten der Visualisierung Die Daten wurden für den internen Gebrauch als .mdb-Datei in einer Microsoft Access Datenbank zusammengetragen. Für die Visualisierung und Veröffentlichung liegt zusätzlich eine komprimierte Version der ausgewerteten Daten als Tabelle mit etwa 3600 Zeilen im .xlsx-Format (Microsoft Excel) vor. Zur Archivierung wurden die Daten in XML abgespeichert. Die Visualisierung erfolgte in einem ersten Schritt auf Google Earth (.kmz). Die Strukturierung der Itinerardaten in einer Datenbank bietet mehrere Vorteile gegenüber der klassischen Ansicht in Regestenwerken, sowohl im Hinblick auf die Analyse als auch die Visualisierung. Zu den Analysemöglichkeiten gehört eine mit Hilfe verschiedener Excel-Funktionen implementierte Zählung der einzelnen Aufenthaltsorte, durch die gezeigt und abgefragt werden kann, wie oft ein Pfalzgraf einen bestimmten Ort besuchte. Grundlage der Berechnungen ist für jeden Herrscher die Addition mehrmalig auftretender Aufenthaltsorte. Je häufiger ein Ort erscheint, umso größer wird das dazugehörige Icon bei der Visualisierung angezeigt. Um eine Vergleichbarkeit der Bedeutung einzelner Herrschaftszentren für verschiedene Pfalzgrafen zu gewährleisten, wurde mit verschiedenen Operationen die Icongröße mit der größten Aufenthaltszahl eines Pfalzgrafen gekoppelt. So hat der ‚Bedeutungswert‘ und damit die visualisierte Punktgröße Heidelbergs im Itinerar Ruprechts I. und Ruprecht Pipans denselben Wert, obwohl Erstgenannter über 600-mal hier residierte und Pipan lediglich sieben-mal. In Bezug auf die Bedeutung für das jeweilige Itinerar scheint Heidelberg aber für beide eine ähnlich hohe Bedeutung gehabt zu haben. Die Sichtung der Daten kann in der einfachsten Form mithilfe der .kmz-Datei in Google Earth erfolgen.","Subject":"Arts and Humanities","Keywords":"Itinerare; Pfalzgrafen bei Rhein"},{"pid":"doi:10.11588/data/10057","Title":"A Quantitative Approach to Beauty [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Quantitative Approach to Beauty [Dataset]' Description:'The purpose of the the data collection was to determine the shape of the change in beauty in depicted faces over time. The dataset is comprised by almost 120,000 paintings from different times and styles.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {European Painting; Faces; Fine Arts; Western Art; World Painting+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Quantitative Approach to Beauty [Dataset]' Description:'The purpose of the the data collection was to determine the shape of the change in beauty in depicted faces over time. The dataset is comprised by almost 120,000 paintings from different times and styles.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The purpose of the the data collection was to determine the shape of the change in beauty in depicted faces over time. The dataset is comprised by almost 120,000 paintings from different times and styles.","Subject":"Arts and Humanities","Keywords":"European Painting; Faces; Fine Arts; Western Art; World Painting"},{"pid":"doi:10.11588/data/10061","Title":"Schlagzeile geht schneller als Recherche – über die journalistische Arbeit zum Antikenraub [Video- und Audiomaterial]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Schlagzeile geht schneller als Recherche – über die journalistische Arbeit zum Antikenraub [Video- und Audiomaterial]' Description:'Three video files and one audio file documenting TV and radio features, which were broadcasted in 2014 and 2015. They are mentioned in a summarizing academic article about the looting of antiquities and the trade with them, and about the difficulties of serious journalism on this topic.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Antiquities; cultural heritage; Daesh; Iraq; ISIS; Islamic State; journalism; looting; mass-media; Middle East; Syria; TV+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Schlagzeile geht schneller als Recherche – über die journalistische Arbeit zum Antikenraub [Video- und Audiomaterial]' Description:'Three video files and one audio file documenting TV and radio features, which were broadcasted in 2014 and 2015. They are mentioned in a summarizing academic article about the looting of antiquities and the trade with them, and about the difficulties of serious journalism on this topic.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Three video files and one audio file documenting TV and radio features, which were broadcasted in 2014 and 2015. They are mentioned in a summarizing academic article about the looting of antiquities and the trade with them, and about the difficulties of serious journalism on this topic.","Subject":"Arts and Humanities","Keywords":"Antiquities; cultural heritage; Daesh; Iraq; ISIS; Islamic State; journalism; looting; mass-media; Middle East; Syria; TV"},{"pid":"doi:10.11588/data/10064","Title":"Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Census; Russian Empire; USSR+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union' Description:'The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.' Subject:'Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.","Subject":"Arts and Humanities","Keywords":"Census; Russian Empire; USSR"},{"pid":"doi:10.11588/data/10068","Title":"Pottery drawings, Zafar, Jemen, mostly excavated","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Pottery drawings, Zafar, Jemen, mostly excavated' Description:'The corpus of material which is to be archived consists of 9211 files in 68 directories, a total of 12.1 GB. 99% are unpublished. Three kinds of image: photo, pencil drawing and vector hybrid. The vector drawings comprise 33%. They are formed by combining a vector drawing with a photo.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Himyar; Himyarite empire period; Zafar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Pottery drawings, Zafar, Jemen, mostly excavated' Description:'The corpus of material which is to be archived consists of 9211 files in 68 directories, a total of 12.1 GB. 99% are unpublished. Three kinds of image: photo, pencil drawing and vector hybrid. The vector drawings comprise 33%. They are formed by combining a vector drawing with a photo.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The corpus of material which is to be archived consists of 9211 files in 68 directories, a total of 12.1 GB. 99% are unpublished. Three kinds of image: photo, pencil drawing and vector hybrid. The vector drawings comprise 33%. They are formed by combining a vector drawing with a photo.","Subject":"Arts and Humanities","Keywords":"Himyar; Himyarite empire period; Zafar"},{"pid":"doi:10.11588/data/10071","Title":"Social Network Centralization Dynamics in Print Production in the Low Countries, 1550-1750","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Social Network Centralization Dynamics in Print Production in the Low Countries, 1550-1750' Description:'Data on prints held by the Rijksmuseum and the British Museum, with derived network analysis data and visualization code.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {art history; engraving; etching; museum; network analysis; prints; R+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Social Network Centralization Dynamics in Print Production in the Low Countries, 1550-1750' Description:'Data on prints held by the Rijksmuseum and the British Museum, with derived network analysis data and visualization code.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data on prints held by the Rijksmuseum and the British Museum, with derived network analysis data and visualization code.","Subject":"Arts and Humanities","Keywords":"art history; engraving; etching; museum; network analysis; prints; R"},{"pid":"doi:10.11588/data/10072","Title":"Appendix zur Dissertation 'Filmische Bestattungen im Spiegel des Diskurses um den ,Guten Todʻ - Eine gegenstandsbezogene Programmatik für eine religionswissenschaftliche Filmanalyse: Motivcluster der Bestattungslandschaft im Spielfilm'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Appendix zur Dissertation 'Filmische Bestattungen im Spiegel des Diskurses um den ,Guten Todʻ - Eine gegenstandsbezogene Programmatik für eine religionswissenschaftliche Filmanalyse: Motivcluster der Bestattungslandschaft im Spielfilm'' Description:'Das Motivcluster der Bestattungslandschaft im Spielfilm zeigt die motivische Vielfalt und Gewichtung filmischer Bestattungen innerhalb eines Korpus von 50 Spielfilmen aus dem nordamerikanischen und europäischen Raum, der für die Dissertationsschrift 'Filmische Bestattungen im Spiegel des Diskurses um den ,Guten Todʻ - Eine gegenstandsbezogene Programmatik für eine religionswissenschaftliche Filmanalyse' untersucht worden ist. Die Filme stammen aus dem Zeitraum 1971-2012 und sind in dem Motivcluster mit ihrem jeweiligen Erscheinungsjahr aufgelistet. Das Motivcluster stellt einen ersten Baustein für eine Grundlagenforschung der Medialisierung der Bestattung im Spielfilm dar und bildet zugleich das Fundament für die in der Arbeit vorgenommenen ausführlichen Analysen einzelner filmischer Bestattungen. Es kann als eine Form der Bestandsaufnahme verstanden werden, die einen makroorientierten und quantitativen Zugang zum Untersuchungsgegenstand bietet. Unterschiedliche Charakteristika der filmischen Bestattungen werden hier entsprechend der in der Arbeit vorgestellten Programmatik für eine religionswissenschaftliche Filmanalyse im Überblick dargestellt. Hierzu gehören Aspekte der Medienästhetik, der Narration, der Figuren,des Inhalts und des Kontextes der filmischen Bestattungen. Der durch das Motivcluster und die einzelnen untersuchten Kategorien entstehende Überblick lässt erste Formen der Politiken der Repräsentation in der Bestattungslandschaft ersichtlich werden und zeigt hier ein dominantes jüdisch-christliches religiöses Feld. Eine ausführliche Aufarbeitung, Beschreibung und Auswertung des Motivclusters findet sich in Kapitel 4 der Dissertation: „Ausschnitte aus der Bestattungslandschaft im Spielfilm – Eine explorative Vorstudie“.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bestatter; Bestattung; Diskurs; Film; Filmanalyse; Filmwissenschaft; Medien; Motiv; Narration; Populärkultur; Religion; Religionsgeschichte; Religionswissenschaft; Sterben; Tod+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Appendix zur Dissertation 'Filmische Bestattungen im Spiegel des Diskurses um den ,Guten Todʻ - Eine gegenstandsbezogene Programmatik für eine religionswissenschaftliche Filmanalyse: Motivcluster der Bestattungslandschaft im Spielfilm'' Description:'Das Motivcluster der Bestattungslandschaft im Spielfilm zeigt die motivische Vielfalt und Gewichtung filmischer Bestattungen innerhalb eines Korpus von 50 Spielfilmen aus dem nordamerikanischen und europäischen Raum, der für die Dissertationsschrift 'Filmische Bestattungen im Spiegel des Diskurses um den ,Guten Todʻ - Eine gegenstandsbezogene Programmatik für eine religionswissenschaftliche Filmanalyse' untersucht worden ist. Die Filme stammen aus dem Zeitraum 1971-2012 und sind in dem Motivcluster mit ihrem jeweiligen Erscheinungsjahr aufgelistet. Das Motivcluster stellt einen ersten Baustein für eine Grundlagenforschung der Medialisierung der Bestattung im Spielfilm dar und bildet zugleich das Fundament für die in der Arbeit vorgenommenen ausführlichen Analysen einzelner filmischer Bestattungen. Es kann als eine Form der Bestandsaufnahme verstanden werden, die einen makroorientierten und quantitativen Zugang zum Untersuchungsgegenstand bietet. Unterschiedliche Charakteristika der filmischen Bestattungen werden hier entsprechend der in der Arbeit vorgestellten Programmatik für eine religionswissenschaftliche Filmanalyse im Überblick dargestellt. Hierzu gehören Aspekte der Medienästhetik, der Narration, der Figuren,des Inhalts und des Kontextes der filmischen Bestattungen. Der durch das Motivcluster und die einzelnen untersuchten Kategorien entstehende Überblick lässt erste Formen der Politiken der Repräsentation in der Bestattungslandschaft ersichtlich werden und zeigt hier ein dominantes jüdisch-christliches religiöses Feld. Eine ausführliche Aufarbeitung, Beschreibung und Auswertung des Motivclusters findet sich in Kapitel 4 der Dissertation: „Ausschnitte aus der Bestattungslandschaft im Spielfilm – Eine explorative Vorstudie“.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Das Motivcluster der Bestattungslandschaft im Spielfilm zeigt die motivische Vielfalt und Gewichtung filmischer Bestattungen innerhalb eines Korpus von 50 Spielfilmen aus dem nordamerikanischen und europäischen Raum, der für die Dissertationsschrift 'Filmische Bestattungen im Spiegel des Diskurses um den ,Guten Todʻ - Eine gegenstandsbezogene Programmatik für eine religionswissenschaftliche Filmanalyse' untersucht worden ist. Die Filme stammen aus dem Zeitraum 1971-2012 und sind in dem Motivcluster mit ihrem jeweiligen Erscheinungsjahr aufgelistet. Das Motivcluster stellt einen ersten Baustein für eine Grundlagenforschung der Medialisierung der Bestattung im Spielfilm dar und bildet zugleich das Fundament für die in der Arbeit vorgenommenen ausführlichen Analysen einzelner filmischer Bestattungen. Es kann als eine Form der Bestandsaufnahme verstanden werden, die einen makroorientierten und quantitativen Zugang zum Untersuchungsgegenstand bietet. Unterschiedliche Charakteristika der filmischen Bestattungen werden hier entsprechend der in der Arbeit vorgestellten Programmatik für eine religionswissenschaftliche Filmanalyse im Überblick dargestellt. Hierzu gehören Aspekte der Medienästhetik, der Narration, der Figuren,des Inhalts und des Kontextes der filmischen Bestattungen. Der durch das Motivcluster und die einzelnen untersuchten Kategorien entstehende Überblick lässt erste Formen der Politiken der Repräsentation in der Bestattungslandschaft ersichtlich werden und zeigt hier ein dominantes jüdisch-christliches religiöses Feld. Eine ausführliche Aufarbeitung, Beschreibung und Auswertung des Motivclusters findet sich in Kapitel 4 der Dissertation: „Ausschnitte aus der Bestattungslandschaft im Spielfilm – Eine explorative Vorstudie“.","Subject":"Arts and Humanities","Keywords":"Bestatter; Bestattung; Diskurs; Film; Filmanalyse; Filmwissenschaft; Medien; Motiv; Narration; Populärkultur; Religion; Religionsgeschichte; Religionswissenschaft; Sterben; Tod"},{"pid":"doi:10.11588/data/10076","Title":"The Abou Naddara Collection - James Sanua's complete works","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Abou Naddara Collection - James Sanua's complete works' Description:'Access to James Sanua's journal publications and his extensive oeuvre has hitherto been difficult. Therefore, the journalistic and artistic material of the Paris-exiled Egyptian nationalist has hardly received the degree of scholarly attention it actually deserves. Nevertheless, during the research-work for her Ph.D. dissertation 'The Construct of Egypt's National-Self in James Sanua's Early Satire and Caricature' Eliane Ursula Ettmüller was able to collect James Sanua's complete works and –even more importantly– the majority of the originals of his magazines. Mrs Eva Milhaud kindly gave her the permission to have Sanua's legacy digitized and to make it available to interested readers and researchers all over the world. As the newspaper-series of the period from August 1878 to December 1884 and of the ones published between 1908 and 1910 were not among the originals, Prof. Dr. Nagwa Anous made it possible for her to have the reprints scanned which were published by Dar Sader in Beirut in 1974. Publication records are provided in MODS XML and include the publication title in Arabic, western transcription, and English or French translation (using the Translation on the originals, if available). In addition, the date of each issue in Arabic and western notation, as well as issue number and number of pages are provided. The scans were produced in tiff format at 300 ppi, 8bit. They will be provided at a later time, and can be found in The Abou Naddara Collection or in the Abou Naddara Newspaper Collection.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Abou Naddara; digitization; Egypt; James Sanua; Open Access; satire; satirical writings+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Abou Naddara Collection - James Sanua's complete works' Description:'Access to James Sanua's journal publications and his extensive oeuvre has hitherto been difficult. Therefore, the journalistic and artistic material of the Paris-exiled Egyptian nationalist has hardly received the degree of scholarly attention it actually deserves. Nevertheless, during the research-work for her Ph.D. dissertation 'The Construct of Egypt's National-Self in James Sanua's Early Satire and Caricature' Eliane Ursula Ettmüller was able to collect James Sanua's complete works and –even more importantly– the majority of the originals of his magazines. Mrs Eva Milhaud kindly gave her the permission to have Sanua's legacy digitized and to make it available to interested readers and researchers all over the world. As the newspaper-series of the period from August 1878 to December 1884 and of the ones published between 1908 and 1910 were not among the originals, Prof. Dr. Nagwa Anous made it possible for her to have the reprints scanned which were published by Dar Sader in Beirut in 1974. Publication records are provided in MODS XML and include the publication title in Arabic, western transcription, and English or French translation (using the Translation on the originals, if available). In addition, the date of each issue in Arabic and western notation, as well as issue number and number of pages are provided. The scans were produced in tiff format at 300 ppi, 8bit. They will be provided at a later time, and can be found in The Abou Naddara Collection or in the Abou Naddara Newspaper Collection.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Access to James Sanua's journal publications and his extensive oeuvre has hitherto been difficult. Therefore, the journalistic and artistic material of the Paris-exiled Egyptian nationalist has hardly received the degree of scholarly attention it actually deserves. Nevertheless, during the research-work for her Ph.D. dissertation 'The Construct of Egypt's National-Self in James Sanua's Early Satire and Caricature' Eliane Ursula Ettmüller was able to collect James Sanua's complete works and –even more importantly– the majority of the originals of his magazines. Mrs Eva Milhaud kindly gave her the permission to have Sanua's legacy digitized and to make it available to interested readers and researchers all over the world. As the newspaper-series of the period from August 1878 to December 1884 and of the ones published between 1908 and 1910 were not among the originals, Prof. Dr. Nagwa Anous made it possible for her to have the reprints scanned which were published by Dar Sader in Beirut in 1974. Publication records are provided in MODS XML and include the publication title in Arabic, western transcription, and English or French translation (using the Translation on the originals, if available). In addition, the date of each issue in Arabic and western notation, as well as issue number and number of pages are provided. The scans were produced in tiff format at 300 ppi, 8bit. They will be provided at a later time, and can be found in The Abou Naddara Collection or in the Abou Naddara Newspaper Collection.","Subject":"Arts and Humanities","Keywords":"Abou Naddara; digitization; Egypt; James Sanua; Open Access; satire; satirical writings"},{"pid":"doi:10.11588/data/10081","Title":"Vinča-Belo Brdo, Serbia: The times of a tell [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vinča-Belo Brdo, Serbia: The times of a tell [Dataset]' Description:'A new radiocarbon dating programme for the sequence excavated by M. Vasić at the Neolithic site Vinča-Belo Brdo, Serbia, was designed within the framework of Bayesian chronological modeling. A total of 85 radiocarbon measurements are now available from 82 samples from known depths through the sequence at Vinča. The supplementary information provided here – Vinca_Vasic_age_depth_final.oxcal – presents the CQL2 code explicitly defining the age depth model.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bayesian chronological modelling; Miloje Vasić; Neolithic; radiocarbon dating; tell; Vinča-Belo Brdo; Vinča culture chronology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vinča-Belo Brdo, Serbia: The times of a tell [Dataset]' Description:'A new radiocarbon dating programme for the sequence excavated by M. Vasić at the Neolithic site Vinča-Belo Brdo, Serbia, was designed within the framework of Bayesian chronological modeling. A total of 85 radiocarbon measurements are now available from 82 samples from known depths through the sequence at Vinča. The supplementary information provided here – Vinca_Vasic_age_depth_final.oxcal – presents the CQL2 code explicitly defining the age depth model.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A new radiocarbon dating programme for the sequence excavated by M. Vasić at the Neolithic site Vinča-Belo Brdo, Serbia, was designed within the framework of Bayesian chronological modeling. A total of 85 radiocarbon measurements are now available from 82 samples from known depths through the sequence at Vinča. The supplementary information provided here – Vinca_Vasic_age_depth_final.oxcal – presents the CQL2 code explicitly defining the age depth model.","Subject":"Arts and Humanities","Keywords":"Bayesian chronological modelling; Miloje Vasić; Neolithic; radiocarbon dating; tell; Vinča-Belo Brdo; Vinča culture chronology"},{"pid":"doi:10.11588/data/10085","Title":"Augustinian Correspondence Database (ACDb)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Augustinian Correspondence Database (ACDb)' Description:'The Augustinian Correspondence Database, Version 3, (ACDb 3) contains all intertextual references noted in the editions of Alois Goldbacher, Klaus-Detlef Daur, and Johannes Divjak. In different sheets you find frequency of references sorted by content and scale of identifiability, a list of all references mentioned by Goldbacher, Daur, and Divjak, graphs and data analysing the distribution of references within a letter, a list of all indications of sources Augustine uses, statistics of all indications of source and terms of illocution Augustine uses, all repeated references within a letter, rankings among the correspondence of Augustine concerning total number of words and references, frequency and distribution of repeated references within a letter, and total number of sources which are also sorted by marking level, a list of all references added or omitted by Daur, a list of all abbreviations used in the database, and a list of all literature and tools used in creating the database. ' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Augustine; Augustine's correspondence; digital patristics; Distant Reading; Intertextuality+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Augustinian Correspondence Database (ACDb)' Description:'The Augustinian Correspondence Database, Version 3, (ACDb 3) contains all intertextual references noted in the editions of Alois Goldbacher, Klaus-Detlef Daur, and Johannes Divjak. In different sheets you find frequency of references sorted by content and scale of identifiability, a list of all references mentioned by Goldbacher, Daur, and Divjak, graphs and data analysing the distribution of references within a letter, a list of all indications of sources Augustine uses, statistics of all indications of source and terms of illocution Augustine uses, all repeated references within a letter, rankings among the correspondence of Augustine concerning total number of words and references, frequency and distribution of repeated references within a letter, and total number of sources which are also sorted by marking level, a list of all references added or omitted by Daur, a list of all abbreviations used in the database, and a list of all literature and tools used in creating the database. ' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Augustinian Correspondence Database, Version 3, (ACDb 3) contains all intertextual references noted in the editions of Alois Goldbacher, Klaus-Detlef Daur, and Johannes Divjak. In different sheets you find frequency of references sorted by content and scale of identifiability, a list of all references mentioned by Goldbacher, Daur, and Divjak, graphs and data analysing the distribution of references within a letter, a list of all indications of sources Augustine uses, statistics of all indications of source and terms of illocution Augustine uses, all repeated references within a letter, rankings among the correspondence of Augustine concerning total number of words and references, frequency and distribution of repeated references within a letter, and total number of sources which are also sorted by marking level, a list of all references added or omitted by Daur, a list of all abbreviations used in the database, and a list of all literature and tools used in creating the database. ","Subject":"Arts and Humanities","Keywords":"Augustine; Augustine's correspondence; digital patristics; Distant Reading; Intertextuality"},{"pid":"doi:10.11588/data/10095","Title":"Satsangijivanam by Shatananda: Transliterated Sanskrit text with mark-up of compounds and sandhi (SSJ-SKT-INP.txt) – Transliterated Sanskrit text in Textformat with compounds and sandhi reconstituted.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Satsangijivanam by Shatananda: Transliterated Sanskrit text with mark-up of compounds and sandhi (SSJ-SKT-INP.txt) – Transliterated Sanskrit text in Textformat with compounds and sandhi reconstituted.' Description:'The Satsangijivanam is a Sanskrit text with more than 16'000 verses, describing the life and teachings of the founder of the Swaminarayan Movement. By making this text available in digitized transliteration this important source for the history of the Swaminarayan Movement and of modern Hinduism in general is made accessible for all kinds of linguistic, cultural and conceptual analysis, interpretation, and evaluation.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {biography of Swami Sahajananda; Hindu reform movement in 19th century Gujarat; origin of Swaminarayan Movement; teachings of Swaminarayan+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Satsangijivanam by Shatananda: Transliterated Sanskrit text with mark-up of compounds and sandhi (SSJ-SKT-INP.txt) – Transliterated Sanskrit text in Textformat with compounds and sandhi reconstituted.' Description:'The Satsangijivanam is a Sanskrit text with more than 16'000 verses, describing the life and teachings of the founder of the Swaminarayan Movement. By making this text available in digitized transliteration this important source for the history of the Swaminarayan Movement and of modern Hinduism in general is made accessible for all kinds of linguistic, cultural and conceptual analysis, interpretation, and evaluation.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Satsangijivanam is a Sanskrit text with more than 16'000 verses, describing the life and teachings of the founder of the Swaminarayan Movement. By making this text available in digitized transliteration this important source for the history of the Swaminarayan Movement and of modern Hinduism in general is made accessible for all kinds of linguistic, cultural and conceptual analysis, interpretation, and evaluation.","Subject":"Arts and Humanities","Keywords":"biography of Swami Sahajananda; Hindu reform movement in 19th century Gujarat; origin of Swaminarayan Movement; teachings of Swaminarayan"},{"pid":"doi:10.11588/data/10102","Title":"La vaisselle métallique en Gaule Belgique à la veille de la Conquête. Matériaux Suppléments","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'La vaisselle métallique en Gaule Belgique à la veille de la Conquête. Matériaux Suppléments' Description:'List of the metal vessels from the 2nd and 1st century BC in northern Gaul.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Gallia Belgica; grave goods; metal vessels+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'La vaisselle métallique en Gaule Belgique à la veille de la Conquête. Matériaux Suppléments' Description:'List of the metal vessels from the 2nd and 1st century BC in northern Gaul.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"List of the metal vessels from the 2nd and 1st century BC in northern Gaul.","Subject":"Arts and Humanities","Keywords":"Gallia Belgica; grave goods; metal vessels"},{"pid":"doi:10.11588/data/2EVBVW","Title":"Narratives for Lengyel funerary practice (Supplementary Material)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Narratives for Lengyel funerary practice (Supplementary Material)' Description:'Supplementary tables 1–6; supplementary figures 1–3' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bayesian chronological modelling; correspondence analysis; funerary pottery chronology/; funerary practice /; István Zalai-Gaál; Lengyel culture; Neolithikum; Radiokarbonmethode; seriation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Narratives for Lengyel funerary practice (Supplementary Material)' Description:'Supplementary tables 1–6; supplementary figures 1–3' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary tables 1–6; supplementary figures 1–3","Subject":"Arts and Humanities","Keywords":"Bayesian chronological modelling; correspondence analysis; funerary pottery chronology/; funerary practice /; István Zalai-Gaál; Lengyel culture; Neolithikum; Radiokarbonmethode; seriation"},{"pid":"doi:10.11588/data/2JK48O","Title":"Sentiment View Lexicon (EN)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sentiment View Lexicon (EN)' Description:'This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {opinion expression; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sentiment View Lexicon (EN)' Description:'This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.","Subject":"Arts and Humanities","Keywords":"opinion expression; sentiment"},{"pid":"doi:10.11588/data/3W7AQP","Title":"Opinion role extractor","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Opinion role extractor' Description:'System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; categorization of opinion words; opinion; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Opinion role extractor' Description:'System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text","Subject":"Arts and Humanities","Keywords":"annotation; categorization of opinion words; opinion; sentiment"},{"pid":"doi:10.11588/data/5NSDVM","Title":"Supplementary information to 'Defining pottery use and exploitation of natural products at Clairvaux XIV during the Middle Neolithic'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary information to 'Defining pottery use and exploitation of natural products at Clairvaux XIV during the Middle Neolithic'' Description:'Investigating pottery function requires optimal preservation of both ceramic vessels and organic residues related to vessel use. If these criteria are met then opportunities emerge for combining macroscopic observations, typological classification, and capacity measurements and molecular and isotopic proxies (GC, GC-MS, and GC-C-IRMS) to explore vessel use and resource exploitation. The exceptional ceramic assemblage of hundreds of vessels excavated from the Middle Neolithic site of Clairvaux XIV (Jura, France, IVth millennium B.C.) offered such an opportunity, with a wide diversity of vessel shapes and extraordinary preservation of lipids. Interrogating the lipid residues together with typological analyses revealed a complex system of ceramic vessel use. Despite the scarcity of aquatic products, a wide diversity of natural substances has been detected: ruminant adipose fats, dairy products, plant substances, and beeswax. These commodities were processed in specific vessels with three main different functions:cooking vessels of various volumes, serving dishes for animal products, and dedicated vessels for dairy product processing and consumption.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {carbon isotopes; dairying; Lake dwelling site; lipids; Middle Neolithic; organic residues; vessel use+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary information to 'Defining pottery use and exploitation of natural products at Clairvaux XIV during the Middle Neolithic'' Description:'Investigating pottery function requires optimal preservation of both ceramic vessels and organic residues related to vessel use. If these criteria are met then opportunities emerge for combining macroscopic observations, typological classification, and capacity measurements and molecular and isotopic proxies (GC, GC-MS, and GC-C-IRMS) to explore vessel use and resource exploitation. The exceptional ceramic assemblage of hundreds of vessels excavated from the Middle Neolithic site of Clairvaux XIV (Jura, France, IVth millennium B.C.) offered such an opportunity, with a wide diversity of vessel shapes and extraordinary preservation of lipids. Interrogating the lipid residues together with typological analyses revealed a complex system of ceramic vessel use. Despite the scarcity of aquatic products, a wide diversity of natural substances has been detected: ruminant adipose fats, dairy products, plant substances, and beeswax. These commodities were processed in specific vessels with three main different functions:cooking vessels of various volumes, serving dishes for animal products, and dedicated vessels for dairy product processing and consumption.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Investigating pottery function requires optimal preservation of both ceramic vessels and organic residues related to vessel use. If these criteria are met then opportunities emerge for combining macroscopic observations, typological classification, and capacity measurements and molecular and isotopic proxies (GC, GC-MS, and GC-C-IRMS) to explore vessel use and resource exploitation. The exceptional ceramic assemblage of hundreds of vessels excavated from the Middle Neolithic site of Clairvaux XIV (Jura, France, IVth millennium B.C.) offered such an opportunity, with a wide diversity of vessel shapes and extraordinary preservation of lipids. Interrogating the lipid residues together with typological analyses revealed a complex system of ceramic vessel use. Despite the scarcity of aquatic products, a wide diversity of natural substances has been detected: ruminant adipose fats, dairy products, plant substances, and beeswax. These commodities were processed in specific vessels with three main different functions:cooking vessels of various volumes, serving dishes for animal products, and dedicated vessels for dairy product processing and consumption.","Subject":"Arts and Humanities","Keywords":"carbon isotopes; dairying; Lake dwelling site; lipids; Middle Neolithic; organic residues; vessel use"},{"pid":"doi:10.11588/data/5ZH1G4","Title":"The Italian Venus revisited (Catalogue Vol. 1.2)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Italian Venus revisited (Catalogue Vol. 1.2)' Description:'Topical catalogue of 6,985 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 1,876 identified Italian artists and their repetitions.Categorized under 18 main Topics, with an Index of Artists and a list of Information Resources, including online sources, iconographic collections and bibliographical references - 618 pages.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Italian Venus revisited (Catalogue Vol. 1.2)' Description:'Topical catalogue of 6,985 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 1,876 identified Italian artists and their repetitions.Categorized under 18 main Topics, with an Index of Artists and a list of Information Resources, including online sources, iconographic collections and bibliographical references - 618 pages.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Topical catalogue of 6,985 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 1,876 identified Italian artists and their repetitions.Categorized under 18 main Topics, with an Index of Artists and a list of Information Resources, including online sources, iconographic collections and bibliographical references - 618 pages.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/5ZH1G4","Title":"The Italian Venus revisited (Catalogue Vol. 1.2)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Italian Venus revisited (Catalogue Vol. 1.2)' Description:'Topical catalogue of 6,985 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 1,876 identified Italian artists and their repetitions.Categorized under 18 main Topics, with an Index of Artists and a list of Information Resources, including online sources, iconographic collections and bibliographical references - 618 pages.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Italian Venus revisited (Catalogue Vol. 1.2)' Description:'Topical catalogue of 6,985 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 1,876 identified Italian artists and their repetitions.Categorized under 18 main Topics, with an Index of Artists and a list of Information Resources, including online sources, iconographic collections and bibliographical references - 618 pages.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Topical catalogue of 6,985 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 1,876 identified Italian artists and their repetitions.Categorized under 18 main Topics, with an Index of Artists and a list of Information Resources, including online sources, iconographic collections and bibliographical references - 618 pages.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/64KP3N","Title":"Semantische Datenmodellierung für Werkverzeichnisse (Universitätsbibliothek Heidelberg)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Semantische Datenmodellierung für Werkverzeichnisse (Universitätsbibliothek Heidelberg)' Description:'Die Semantische Datenmodellierung für Werkverzeichnisse war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes 'Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und Erschließung von Kunst und Architektur' (2018-2021).Im Rahmen des Projektes wurden u.a. die Heidelberger Anwendungsontologie für Werkverzeichnisse und das Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder entwickelt.Die Anwendungsontologie ist eine Erweiterung des CIDOC Conceptual Reference Model (ISO 21127), umgesetzt im Erlangen CRM / OWL (Version 200717). Sie bietet Klassen und Eigenschaften, die zur Beschreibung von Kunstwerken für ein Werkverzeichnis oder Catalogue raisonné konkretisiert sind. Sie kann darüber hinaus zur Modellierung eines Datenmodells benutzt werden, dessen Fokus unabhängig vom Kontext Werkverzeichnis ganz allgemein auf der Dokumentation und Tiefenerschließung von Kunstwerken liegt. Über den folgenden Weblink kann die aktuelle Version (current Version) aufgerufen und unter Berücksichtigung der Lizenz CC-BY-SA 4.0 (Rechteinhaber: Universitätsbibliothek Heidelberg) nachgenutzt werden: http://lod.ub.uni-heidelberg.de/ontologies/werkverzeichnis/Ergänzungen von Klassen und Eigenschaften durch die Universitätsbibliothek Heidelberg sind möglich. Beachten Sie dazu die Angaben zur Versionshistorie (priorVersion). Da in der Anwendungsontologie nur additive Änderungen erfolgen, ist eine Rückwärtskompatibilität garantiert.Unter Einsatz der Heidelberger Anwendungsontologie für Werkverzeichnisse wurde das Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder respektive Datenmodell entwickelt, welches eine detaillierte wissenschaftliche Erschließung bietet. Der Forschungsschwerpunkt muss dabei nicht zwangsläufig ein Werkverzeichnis sein, vielmehr kann das Template ganz allgemein für Dokumentationen von Kunstwerken, ihre Identifikation, Klassifikation, Beschreibung und/oder Rezeption verwendet werden.Das Dataset umfasst:Heidelberger Anwendungsontologie für Werkverzeichnisse (OWL)Heidelberger Anwendungsontologie für Werkverzeichnisse (Dokumentation) (PDF)Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder (XML)Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder (PDF)Heidelberger Werkverzeichnis-Template im WissKI Pathbuilder - Ergänzende und alternative Modellierungen (PDF)' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {application ontology; CIDOC Conceptual Reference Model; data modeling; digital art history; Digital Humanities; Ontologie ; Semantisches Datenmodell; Werkverzeichnis; WissKI+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Semantische Datenmodellierung für Werkverzeichnisse (Universitätsbibliothek Heidelberg)' Description:'Die Semantische Datenmodellierung für Werkverzeichnisse war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes 'Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und Erschließung von Kunst und Architektur' (2018-2021).Im Rahmen des Projektes wurden u.a. die Heidelberger Anwendungsontologie für Werkverzeichnisse und das Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder entwickelt.Die Anwendungsontologie ist eine Erweiterung des CIDOC Conceptual Reference Model (ISO 21127), umgesetzt im Erlangen CRM / OWL (Version 200717). Sie bietet Klassen und Eigenschaften, die zur Beschreibung von Kunstwerken für ein Werkverzeichnis oder Catalogue raisonné konkretisiert sind. Sie kann darüber hinaus zur Modellierung eines Datenmodells benutzt werden, dessen Fokus unabhängig vom Kontext Werkverzeichnis ganz allgemein auf der Dokumentation und Tiefenerschließung von Kunstwerken liegt. Über den folgenden Weblink kann die aktuelle Version (current Version) aufgerufen und unter Berücksichtigung der Lizenz CC-BY-SA 4.0 (Rechteinhaber: Universitätsbibliothek Heidelberg) nachgenutzt werden: http://lod.ub.uni-heidelberg.de/ontologies/werkverzeichnis/Ergänzungen von Klassen und Eigenschaften durch die Universitätsbibliothek Heidelberg sind möglich. Beachten Sie dazu die Angaben zur Versionshistorie (priorVersion). Da in der Anwendungsontologie nur additive Änderungen erfolgen, ist eine Rückwärtskompatibilität garantiert.Unter Einsatz der Heidelberger Anwendungsontologie für Werkverzeichnisse wurde das Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder respektive Datenmodell entwickelt, welches eine detaillierte wissenschaftliche Erschließung bietet. Der Forschungsschwerpunkt muss dabei nicht zwangsläufig ein Werkverzeichnis sein, vielmehr kann das Template ganz allgemein für Dokumentationen von Kunstwerken, ihre Identifikation, Klassifikation, Beschreibung und/oder Rezeption verwendet werden.Das Dataset umfasst:Heidelberger Anwendungsontologie für Werkverzeichnisse (OWL)Heidelberger Anwendungsontologie für Werkverzeichnisse (Dokumentation) (PDF)Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder (XML)Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder (PDF)Heidelberger Werkverzeichnis-Template im WissKI Pathbuilder - Ergänzende und alternative Modellierungen (PDF)' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die Semantische Datenmodellierung für Werkverzeichnisse war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes 'Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und Erschließung von Kunst und Architektur' (2018-2021).Im Rahmen des Projektes wurden u.a. die Heidelberger Anwendungsontologie für Werkverzeichnisse und das Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder entwickelt.Die Anwendungsontologie ist eine Erweiterung des CIDOC Conceptual Reference Model (ISO 21127), umgesetzt im Erlangen CRM / OWL (Version 200717). Sie bietet Klassen und Eigenschaften, die zur Beschreibung von Kunstwerken für ein Werkverzeichnis oder Catalogue raisonné konkretisiert sind. Sie kann darüber hinaus zur Modellierung eines Datenmodells benutzt werden, dessen Fokus unabhängig vom Kontext Werkverzeichnis ganz allgemein auf der Dokumentation und Tiefenerschließung von Kunstwerken liegt. Über den folgenden Weblink kann die aktuelle Version (current Version) aufgerufen und unter Berücksichtigung der Lizenz CC-BY-SA 4.0 (Rechteinhaber: Universitätsbibliothek Heidelberg) nachgenutzt werden: http://lod.ub.uni-heidelberg.de/ontologies/werkverzeichnis/Ergänzungen von Klassen und Eigenschaften durch die Universitätsbibliothek Heidelberg sind möglich. Beachten Sie dazu die Angaben zur Versionshistorie (priorVersion). Da in der Anwendungsontologie nur additive Änderungen erfolgen, ist eine Rückwärtskompatibilität garantiert.Unter Einsatz der Heidelberger Anwendungsontologie für Werkverzeichnisse wurde das Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder respektive Datenmodell entwickelt, welches eine detaillierte wissenschaftliche Erschließung bietet. Der Forschungsschwerpunkt muss dabei nicht zwangsläufig ein Werkverzeichnis sein, vielmehr kann das Template ganz allgemein für Dokumentationen von Kunstwerken, ihre Identifikation, Klassifikation, Beschreibung und/oder Rezeption verwendet werden.Das Dataset umfasst:Heidelberger Anwendungsontologie für Werkverzeichnisse (OWL)Heidelberger Anwendungsontologie für Werkverzeichnisse (Dokumentation) (PDF)Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder (XML)Heidelberger Werkverzeichnis-Template im WissKI-Pathbuilder (PDF)Heidelberger Werkverzeichnis-Template im WissKI Pathbuilder - Ergänzende und alternative Modellierungen (PDF)","Subject":"Arts and Humanities","Keywords":"application ontology; CIDOC Conceptual Reference Model; data modeling; digital art history; Digital Humanities; Ontologie ; Semantisches Datenmodell; Werkverzeichnis; WissKI"},{"pid":"doi:10.11588/data/6JTPWL","Title":"GECCA mapped","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GECCA mapped' Description:'GECCA mapped is a pilot project that visualizes and provides geo-referential metadata of sixty exhibition entries collected in the larger GECCA data base (more than 700 entries). The exhibition sample is limited to Western, i.e. Western European and Northern American group exhibitions, and excludes bi-/ triennials. With the support of the HRA (Heidelberg Research Architecture), GECCA mapped allows the user to trace the exhibition sample implemented in Google Earth. The GECCA mapped logo indicates the place where a particular exhibition was staged and is scaled according to the number of participating artists. A click on the logo opens a pop-up window presenting more information on the exhibition. The Google Earth timeline enables the user to follow the exhibition development in any chosen geographical area in the period from 1982 (earliest exhibition entry) to 2009 (latest exhibition entry). Group Exhibitions of Contemporary Chinese Art (GECCA): The medium of (group and panoramic) exhibitions has played a fundamental role in creating a global context for Chinese art within and outside of the People's Republic after the end of the 'Great Proletarian Cultural Revolution' (1966-1976) and since the political reforms initiated by Deng Xiaoping in 1978/79. In economic, discursive, aesthetic and institutional terms, the Western reception of these shows was very influential for the establishment of a certain international canon of artworks, artists and curators. This particular canon in fact came to be considered representative of the whole of Chinese artistic production, although it actually tends to exclude large parts of the overall artistic activity such as 'national ink painting' (guohua), conventional or conservative academic oil painting, as well as those works involving political or consumption oriented subject matter, including mass-produced decorative and popular artworks. With 60 exhibitions entries, the data that GECCA mapped visualizes is a comparatively small sample of the database GECCA - which contains more than 700 exhibition entries. The data was individually researched and includes information on the location, institution, dates, exhibition topic, participating artists and curators. The sources for the data stem from exhibition catalogues, museum websites, archival documentation of public art libraries and other archives. A typical use of the kmz-file that visualizes GECCA mapped is Google Earth.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Art, Chinese--20th century--Exhibitions; Australia (nation); contemporary Chinese art; Digital mapping; Europe (continent); GECCA mapped; Geographic information systems; group exhibitions; North America (general region)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GECCA mapped' Description:'GECCA mapped is a pilot project that visualizes and provides geo-referential metadata of sixty exhibition entries collected in the larger GECCA data base (more than 700 entries). The exhibition sample is limited to Western, i.e. Western European and Northern American group exhibitions, and excludes bi-/ triennials. With the support of the HRA (Heidelberg Research Architecture), GECCA mapped allows the user to trace the exhibition sample implemented in Google Earth. The GECCA mapped logo indicates the place where a particular exhibition was staged and is scaled according to the number of participating artists. A click on the logo opens a pop-up window presenting more information on the exhibition. The Google Earth timeline enables the user to follow the exhibition development in any chosen geographical area in the period from 1982 (earliest exhibition entry) to 2009 (latest exhibition entry). Group Exhibitions of Contemporary Chinese Art (GECCA): The medium of (group and panoramic) exhibitions has played a fundamental role in creating a global context for Chinese art within and outside of the People's Republic after the end of the 'Great Proletarian Cultural Revolution' (1966-1976) and since the political reforms initiated by Deng Xiaoping in 1978/79. In economic, discursive, aesthetic and institutional terms, the Western reception of these shows was very influential for the establishment of a certain international canon of artworks, artists and curators. This particular canon in fact came to be considered representative of the whole of Chinese artistic production, although it actually tends to exclude large parts of the overall artistic activity such as 'national ink painting' (guohua), conventional or conservative academic oil painting, as well as those works involving political or consumption oriented subject matter, including mass-produced decorative and popular artworks. With 60 exhibitions entries, the data that GECCA mapped visualizes is a comparatively small sample of the database GECCA - which contains more than 700 exhibition entries. The data was individually researched and includes information on the location, institution, dates, exhibition topic, participating artists and curators. The sources for the data stem from exhibition catalogues, museum websites, archival documentation of public art libraries and other archives. A typical use of the kmz-file that visualizes GECCA mapped is Google Earth.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"GECCA mapped is a pilot project that visualizes and provides geo-referential metadata of sixty exhibition entries collected in the larger GECCA data base (more than 700 entries). The exhibition sample is limited to Western, i.e. Western European and Northern American group exhibitions, and excludes bi-/ triennials. With the support of the HRA (Heidelberg Research Architecture), GECCA mapped allows the user to trace the exhibition sample implemented in Google Earth. The GECCA mapped logo indicates the place where a particular exhibition was staged and is scaled according to the number of participating artists. A click on the logo opens a pop-up window presenting more information on the exhibition. The Google Earth timeline enables the user to follow the exhibition development in any chosen geographical area in the period from 1982 (earliest exhibition entry) to 2009 (latest exhibition entry). Group Exhibitions of Contemporary Chinese Art (GECCA): The medium of (group and panoramic) exhibitions has played a fundamental role in creating a global context for Chinese art within and outside of the People's Republic after the end of the 'Great Proletarian Cultural Revolution' (1966-1976) and since the political reforms initiated by Deng Xiaoping in 1978/79. In economic, discursive, aesthetic and institutional terms, the Western reception of these shows was very influential for the establishment of a certain international canon of artworks, artists and curators. This particular canon in fact came to be considered representative of the whole of Chinese artistic production, although it actually tends to exclude large parts of the overall artistic activity such as 'national ink painting' (guohua), conventional or conservative academic oil painting, as well as those works involving political or consumption oriented subject matter, including mass-produced decorative and popular artworks. With 60 exhibitions entries, the data that GECCA mapped visualizes is a comparatively small sample of the database GECCA - which contains more than 700 exhibition entries. The data was individually researched and includes information on the location, institution, dates, exhibition topic, participating artists and curators. The sources for the data stem from exhibition catalogues, museum websites, archival documentation of public art libraries and other archives. A typical use of the kmz-file that visualizes GECCA mapped is Google Earth.","Subject":"Arts and Humanities","Keywords":"Art, Chinese--20th century--Exhibitions; Australia (nation); contemporary Chinese art; Digital mapping; Europe (continent); GECCA mapped; Geographic information systems; group exhibitions; North America (general region)"},{"pid":"doi:10.11588/data/6USPPW","Title":"A filled-up phonological buffer does not block conceptualization: evidence from a reaction time paradigm [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A filled-up phonological buffer does not block conceptualization: evidence from a reaction time paradigm [Research Data]' Description:'This dataset was published as part of the supplementary material for the research article: Gerwien, J. & Stutterheim, C. v. & Rummel, J. (2022). What is the interference in 'verbal interference'?. Acta Psychologica (230). We provide reaction time data from two language production experiments, as well as further materials: Appendix A - instructions for participants (Experiment 1 and 2); Appendix B - an overview of all stimuli used; Appendix C - the complete documentation of the statistical analyses.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cognitive science; language production; psycholinguistics; psychology; verbal interference+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A filled-up phonological buffer does not block conceptualization: evidence from a reaction time paradigm [Research Data]' Description:'This dataset was published as part of the supplementary material for the research article: Gerwien, J. & Stutterheim, C. v. & Rummel, J. (2022). What is the interference in 'verbal interference'?. Acta Psychologica (230). We provide reaction time data from two language production experiments, as well as further materials: Appendix A - instructions for participants (Experiment 1 and 2); Appendix B - an overview of all stimuli used; Appendix C - the complete documentation of the statistical analyses.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset was published as part of the supplementary material for the research article: Gerwien, J. & Stutterheim, C. v. & Rummel, J. (2022). What is the interference in 'verbal interference'?. Acta Psychologica (230). We provide reaction time data from two language production experiments, as well as further materials: Appendix A - instructions for participants (Experiment 1 and 2); Appendix B - an overview of all stimuli used; Appendix C - the complete documentation of the statistical analyses.","Subject":"Arts and Humanities","Keywords":"cognitive science; language production; psycholinguistics; psychology; verbal interference"},{"pid":"doi:10.11588/data/7WOCTK","Title":"Eyes to the North: a multi-element analysis of copper-alloy eye brooches in the eastern Baltic, produced during the Roman Iron Age [Supplement]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Eyes to the North: a multi-element analysis of copper-alloy eye brooches in the eastern Baltic, produced during the Roman Iron Age [Supplement]' Description:'Roman Iron Age. Their forms bear strong similarities to those found much further south in Germania and the northern Roman provinces, leading to the conclusion that they originally arrived in the region as imports, perhaps by sea from an as yet undiscovered production centre in an area of former East Prussia. In contrast, the eye brooches found within the Germanic areas, north of the Roman frontier, are thought to have originated as export goods produced within the Roman provinces, some distance from the areas in which they are found. We re-examine therefore the debate surrounding local production versus foreign imports, through an innovative use of pXRF. The study compares compositional data of both imported and locally produced brooches against the current typological framework with the aim to better understand how, where and when they were made.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Estland; Fibeln aus Kupferlegierung; Lettland; pXRF; Römische Eisenzeit; römische Provinzen; Tarand-Gräber+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Eyes to the North: a multi-element analysis of copper-alloy eye brooches in the eastern Baltic, produced during the Roman Iron Age [Supplement]' Description:'Roman Iron Age. Their forms bear strong similarities to those found much further south in Germania and the northern Roman provinces, leading to the conclusion that they originally arrived in the region as imports, perhaps by sea from an as yet undiscovered production centre in an area of former East Prussia. In contrast, the eye brooches found within the Germanic areas, north of the Roman frontier, are thought to have originated as export goods produced within the Roman provinces, some distance from the areas in which they are found. We re-examine therefore the debate surrounding local production versus foreign imports, through an innovative use of pXRF. The study compares compositional data of both imported and locally produced brooches against the current typological framework with the aim to better understand how, where and when they were made.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Roman Iron Age. Their forms bear strong similarities to those found much further south in Germania and the northern Roman provinces, leading to the conclusion that they originally arrived in the region as imports, perhaps by sea from an as yet undiscovered production centre in an area of former East Prussia. In contrast, the eye brooches found within the Germanic areas, north of the Roman frontier, are thought to have originated as export goods produced within the Roman provinces, some distance from the areas in which they are found. We re-examine therefore the debate surrounding local production versus foreign imports, through an innovative use of pXRF. The study compares compositional data of both imported and locally produced brooches against the current typological framework with the aim to better understand how, where and when they were made.","Subject":"Arts and Humanities","Keywords":"Estland; Fibeln aus Kupferlegierung; Lettland; pXRF; Römische Eisenzeit; römische Provinzen; Tarand-Gräber"},{"pid":"doi:10.11588/data/8CB4FQ","Title":"Römisches Ziegeln: Über die Prozesskette zum Betriebsmodell einer römischen Ziegelei","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Römisches Ziegeln: Über die Prozesskette zum Betriebsmodell einer römischen Ziegelei' Description:'Algorithmen zur Ermittlung der maximalen Chargen- und Saisonkapazität eines römischen Ziegelofens und dessen Ressourcenbedarf sowie der Anzahl für eine bestimmte Menge zu produzierenden Ziegel (z. B. in einem Ziegelbau) benötigten Öfen und der Menge der zugehörigen Ressourcen.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Produktion; Römisches Reich; Ziegel+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Römisches Ziegeln: Über die Prozesskette zum Betriebsmodell einer römischen Ziegelei' Description:'Algorithmen zur Ermittlung der maximalen Chargen- und Saisonkapazität eines römischen Ziegelofens und dessen Ressourcenbedarf sowie der Anzahl für eine bestimmte Menge zu produzierenden Ziegel (z. B. in einem Ziegelbau) benötigten Öfen und der Menge der zugehörigen Ressourcen.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Algorithmen zur Ermittlung der maximalen Chargen- und Saisonkapazität eines römischen Ziegelofens und dessen Ressourcenbedarf sowie der Anzahl für eine bestimmte Menge zu produzierenden Ziegel (z. B. in einem Ziegelbau) benötigten Öfen und der Menge der zugehörigen Ressourcen.","Subject":"Arts and Humanities","Keywords":"Produktion; Römisches Reich; Ziegel"},{"pid":"doi:10.11588/data/9UXUB0","Title":"The Venus of the Eastern, Southern and Northern European Regions (Catalogue Vol. 6.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Venus of the Eastern, Southern and Northern European Regions (Catalogue Vol. 6.1)' Description:'Topical catalogue of 1371 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 629 identified artists of of the Eastern, Southern and Northern European Regions, from the Middle Ages to Modern Times. 154 pp. With an Index of Artists, a Directory of Owners and an extensive Bibliography.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Venus of the Eastern, Southern and Northern European Regions (Catalogue Vol. 6.1)' Description:'Topical catalogue of 1371 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 629 identified artists of of the Eastern, Southern and Northern European Regions, from the Middle Ages to Modern Times. 154 pp. With an Index of Artists, a Directory of Owners and an extensive Bibliography.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Topical catalogue of 1371 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 629 identified artists of of the Eastern, Southern and Northern European Regions, from the Middle Ages to Modern Times. 154 pp. With an Index of Artists, a Directory of Owners and an extensive Bibliography.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/9UXUB0","Title":"The Venus of the Eastern, Southern and Northern European Regions (Catalogue Vol. 6.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Venus of the Eastern, Southern and Northern European Regions (Catalogue Vol. 6.1)' Description:'Topical catalogue of 1371 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 629 identified artists of of the Eastern, Southern and Northern European Regions, from the Middle Ages to Modern Times. 154 pp. With an Index of Artists, a Directory of Owners and an extensive Bibliography.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Venus of the Eastern, Southern and Northern European Regions (Catalogue Vol. 6.1)' Description:'Topical catalogue of 1371 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 629 identified artists of of the Eastern, Southern and Northern European Regions, from the Middle Ages to Modern Times. 154 pp. With an Index of Artists, a Directory of Owners and an extensive Bibliography.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Topical catalogue of 1371 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 629 identified artists of of the Eastern, Southern and Northern European Regions, from the Middle Ages to Modern Times. 154 pp. With an Index of Artists, a Directory of Owners and an extensive Bibliography.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/A9DCZA","Title":"Nepal Heritage Documentation Project, NHDP","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Nepal Heritage Documentation Project, NHDP' Description:'DANAM is the Digital Archive for Nepalese Art and Monuments and the heart of the Nepal Heritage Documentation Project (NHDP), located at the Heidelberg Centre of Transcultural Studies (HCTS) and the Academy of Sciences (AdW) and operated in cooperation with Saraf Foundation and the Department of Archaeology, Nepal. The database offers visual and textual documentation of heritage monuments, which are threatened by urbanisation and natural disasters. Data sets contain structured information on the monuments, i.e. details of their location, history, architectural structure, and religious and social activities. It presents photographs, maps, plans and drawings, transcriptions of inscriptions, and historical and anthropological reports. Descriptions are available in both English and Nepali. References to scholarly documentation and resources enable further research interests to be explored.DANAM is based on Arches (v.4), an open-source, geospatially-enabled software platform for cultural heritage inventory and management, developed jointly by the Getty Conservation Institute and World Monuments Fund. Funded by the British Arcadia Foundation, the entire content of DANAM is is openly accessible to the general public. A large part of the data is also stored in heidICON and heiDATA.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cultural heritage+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Nepal Heritage Documentation Project, NHDP' Description:'DANAM is the Digital Archive for Nepalese Art and Monuments and the heart of the Nepal Heritage Documentation Project (NHDP), located at the Heidelberg Centre of Transcultural Studies (HCTS) and the Academy of Sciences (AdW) and operated in cooperation with Saraf Foundation and the Department of Archaeology, Nepal. The database offers visual and textual documentation of heritage monuments, which are threatened by urbanisation and natural disasters. Data sets contain structured information on the monuments, i.e. details of their location, history, architectural structure, and religious and social activities. It presents photographs, maps, plans and drawings, transcriptions of inscriptions, and historical and anthropological reports. Descriptions are available in both English and Nepali. References to scholarly documentation and resources enable further research interests to be explored.DANAM is based on Arches (v.4), an open-source, geospatially-enabled software platform for cultural heritage inventory and management, developed jointly by the Getty Conservation Institute and World Monuments Fund. Funded by the British Arcadia Foundation, the entire content of DANAM is is openly accessible to the general public. A large part of the data is also stored in heidICON and heiDATA.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"DANAM is the Digital Archive for Nepalese Art and Monuments and the heart of the Nepal Heritage Documentation Project (NHDP), located at the Heidelberg Centre of Transcultural Studies (HCTS) and the Academy of Sciences (AdW) and operated in cooperation with Saraf Foundation and the Department of Archaeology, Nepal. The database offers visual and textual documentation of heritage monuments, which are threatened by urbanisation and natural disasters. Data sets contain structured information on the monuments, i.e. details of their location, history, architectural structure, and religious and social activities. It presents photographs, maps, plans and drawings, transcriptions of inscriptions, and historical and anthropological reports. Descriptions are available in both English and Nepali. References to scholarly documentation and resources enable further research interests to be explored.DANAM is based on Arches (v.4), an open-source, geospatially-enabled software platform for cultural heritage inventory and management, developed jointly by the Getty Conservation Institute and World Monuments Fund. Funded by the British Arcadia Foundation, the entire content of DANAM is is openly accessible to the general public. A large part of the data is also stored in heidICON and heiDATA.","Subject":"Arts and Humanities","Keywords":"cultural heritage"},{"pid":"doi:10.11588/data/AIQSXL","Title":"Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates' Description:'This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (https://www.primaresearch.org/REID2019/), part of ICDAR 2019 (https://icdar2019.org/competitions-2/). The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bengali language; Optical Character Recognition; Optische Zeichenerkennung; Transcription+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates' Description:'This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (https://www.primaresearch.org/REID2019/), part of ICDAR 2019 (https://icdar2019.org/competitions-2/). The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (https://www.primaresearch.org/REID2019/), part of ICDAR 2019 (https://icdar2019.org/competitions-2/). The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates.","Subject":"Arts and Humanities","Keywords":"Bengali language; Optical Character Recognition; Optische Zeichenerkennung; Transcription"},{"pid":"doi:10.11588/data/AOSUY6","Title":"German Twitter Titling Corpus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'German Twitter Titling Corpus' Description:'The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a doctoral degree, of whom 6 from a left-leaning political party and 4 from a right-leaning political party.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated corpus; framing; German corpus; naming; sentiment; social media; stance; Twitter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'German Twitter Titling Corpus' Description:'The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a doctoral degree, of whom 6 from a left-leaning political party and 4 from a right-leaning political party.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a doctoral degree, of whom 6 from a left-leaning political party and 4 from a right-leaning political party.","Subject":"Arts and Humanities","Keywords":"annotated corpus; framing; German corpus; naming; sentiment; social media; stance; Twitter"},{"pid":"doi:10.11588/data/ARWJHB","Title":"Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archaeobotany; Konstanz; Middle Ages+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.","Subject":"Arts and Humanities","Keywords":"Archaeobotany; Konstanz; Middle Ages"},{"pid":"doi:10.11588/data/ARWJHB","Title":"Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archaeobotany; Konstanz; Middle Ages+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]' Description:'During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.' Subject:'Arts and Humanities; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices were recorded.","Subject":"Arts and Humanities","Keywords":"Archaeobotany; Konstanz; Middle Ages"},{"pid":"doi:10.11588/data/AT1QUR","Title":"ARCHITRAVE [map visualization : data & software]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ARCHITRAVE [map visualization : data & software]' Description:'The dataset includes cartographic visualization data and software designed, implemented, and published for the ARCHITRAVE research project website. The research focused on the edition, executed in German and French, of six travelogues by German travelers of the Baroque period who visited Paris and Versailles. The edited texts are published in the Textgrid repository. For all further information on the content and objectives of the research, please refer to the website (https://architrave.eu/) and given literature. Three visualizations were created for the website:the travel stops of five of the travelers on their way to Paris and Versaillesthe sites in Europe mentioned in the six traveloguesthe sites in Paris described by the six travelersThe visualizations were implemented with Leaflet.js.The dataset contains scripts for data crunching processed geodata scripts for leaflet.js License README ' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Baroque; Château de Versailles; Corfey, Lambert Friedrich; Harrach, Ferdinand Bonaventura Graf von; Heiliges Römisches Reich; Kingdom of France; Knesebeck, Christian Friedrich Gottlieb von dem; Neumann, Balthasar; Pitzler, Christoph; Récits de voyages; Sturm, Leonhard Christoph; Travelogues+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ARCHITRAVE [map visualization : data & software]' Description:'The dataset includes cartographic visualization data and software designed, implemented, and published for the ARCHITRAVE research project website. The research focused on the edition, executed in German and French, of six travelogues by German travelers of the Baroque period who visited Paris and Versailles. The edited texts are published in the Textgrid repository. For all further information on the content and objectives of the research, please refer to the website (https://architrave.eu/) and given literature. Three visualizations were created for the website:the travel stops of five of the travelers on their way to Paris and Versaillesthe sites in Europe mentioned in the six traveloguesthe sites in Paris described by the six travelersThe visualizations were implemented with Leaflet.js.The dataset contains scripts for data crunching processed geodata scripts for leaflet.js License README ' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset includes cartographic visualization data and software designed, implemented, and published for the ARCHITRAVE research project website. The research focused on the edition, executed in German and French, of six travelogues by German travelers of the Baroque period who visited Paris and Versailles. The edited texts are published in the Textgrid repository. For all further information on the content and objectives of the research, please refer to the website (https://architrave.eu/) and given literature. Three visualizations were created for the website:the travel stops of five of the travelers on their way to Paris and Versaillesthe sites in Europe mentioned in the six traveloguesthe sites in Paris described by the six travelersThe visualizations were implemented with Leaflet.js.The dataset contains scripts for data crunching processed geodata scripts for leaflet.js License README ","Subject":"Arts and Humanities","Keywords":"Baroque; Château de Versailles; Corfey, Lambert Friedrich; Harrach, Ferdinand Bonaventura Graf von; Heiliges Römisches Reich; Kingdom of France; Knesebeck, Christian Friedrich Gottlieb von dem; Neumann, Balthasar; Pitzler, Christoph; Récits de voyages; Sturm, Leonhard Christoph; Travelogues"},{"pid":"doi:10.11588/data/AVLFPZ","Title":"Abstract graphs, abstract paths, grounded paths for Freebase and NELL","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Abstract graphs, abstract paths, grounded paths for Freebase and NELL' Description:'We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the results of link prediction using this information.The data in this archive consists of the abstract graphs built from several configurations of Freebase and NELL (used in the experiments described in Gardner et al. 2014), the abstract paths extracted from these graphs, the grounded paths and the negative sampling used in the experiments described in (Nastase and Kotnis, 2019). The motivation for this work was to find better patterns in knowledge graphs than those obtained using the PRA approach.This dataset contains: AbstractGraphs_Garder2014data.tar.gz: the abstract graphsAbstractPathsGroundedPaths.tar.gz: the abstract paths, grounded paths, train/test data and the corresponding negative samples (for each abstract graph)For a brief description of the data in each archive, please see README_AbstractGraphs.txt. ' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {abstract graph; knowledge graph; link prediction; targeted information extraction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Abstract graphs, abstract paths, grounded paths for Freebase and NELL' Description:'We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the results of link prediction using this information.The data in this archive consists of the abstract graphs built from several configurations of Freebase and NELL (used in the experiments described in Gardner et al. 2014), the abstract paths extracted from these graphs, the grounded paths and the negative sampling used in the experiments described in (Nastase and Kotnis, 2019). The motivation for this work was to find better patterns in knowledge graphs than those obtained using the PRA approach.This dataset contains: AbstractGraphs_Garder2014data.tar.gz: the abstract graphsAbstractPathsGroundedPaths.tar.gz: the abstract paths, grounded paths, train/test data and the corresponding negative samples (for each abstract graph)For a brief description of the data in each archive, please see README_AbstractGraphs.txt. ' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the results of link prediction using this information.The data in this archive consists of the abstract graphs built from several configurations of Freebase and NELL (used in the experiments described in Gardner et al. 2014), the abstract paths extracted from these graphs, the grounded paths and the negative sampling used in the experiments described in (Nastase and Kotnis, 2019). The motivation for this work was to find better patterns in knowledge graphs than those obtained using the PRA approach.This dataset contains: AbstractGraphs_Garder2014data.tar.gz: the abstract graphsAbstractPathsGroundedPaths.tar.gz: the abstract paths, grounded paths, train/test data and the corresponding negative samples (for each abstract graph)For a brief description of the data in each archive, please see README_AbstractGraphs.txt. ","Subject":"Arts and Humanities","Keywords":"abstract graph; knowledge graph; link prediction; targeted information extraction"},{"pid":"doi:10.11588/data/B70P7M","Title":"Neue Untersuchungen zur absoluten Datierung des Männergrabes und der Siedlung auf dem ältestbandkeramischen Fundplatz Schwanfeld, Ldkr. Schweinfurt, Unterfranken [Supplement]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Neue Untersuchungen zur absoluten Datierung des Männergrabes und der Siedlung auf dem ältestbandkeramischen Fundplatz Schwanfeld, Ldkr. Schweinfurt, Unterfranken [Supplement]' Description:'Abstract: Das bekannte Grab des sogenannten „Jäger / Kriegers“ aus der ältestbandkeramischen Siedlung von Schwanfeld in Unterfranken galt aufgrund seiner Radiocarbondatierung lange als frühester Beleg der Neolithisierung im westlichen Mitteleuropa. Da sich die seinerzeitige Probe inzwischen als kontaminiert erwies, wurden drei neue Messungen an diesem Skelett und weitere Daten aus der Siedlung gemeinsam neu kalibriert und dabei ihre Verlässlichkeit gründlich geprüft. Die Bestattung wurde demnach in der Mitte des 54. Jahrhunderts v. u. Z. angelegt; die Siedlungsaktivitäten lassen sich auf etwa 5370/5350–5250 v. u. Z. eingrenzen. Das Grab eines Kindes in der Längsgrube mit Außengraben 796/797 wurde nach dieser Zeit angelegt, wahrscheinlich erst in der späten Linearbandkeramik. Supplement: Detaillierte Liste der Radiocarbondaten aus Schwanfeld, die in dieser Untersuchung berücksichtigt wurden.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Neolithikum; Radiokarbondatierung+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Neue Untersuchungen zur absoluten Datierung des Männergrabes und der Siedlung auf dem ältestbandkeramischen Fundplatz Schwanfeld, Ldkr. Schweinfurt, Unterfranken [Supplement]' Description:'Abstract: Das bekannte Grab des sogenannten „Jäger / Kriegers“ aus der ältestbandkeramischen Siedlung von Schwanfeld in Unterfranken galt aufgrund seiner Radiocarbondatierung lange als frühester Beleg der Neolithisierung im westlichen Mitteleuropa. Da sich die seinerzeitige Probe inzwischen als kontaminiert erwies, wurden drei neue Messungen an diesem Skelett und weitere Daten aus der Siedlung gemeinsam neu kalibriert und dabei ihre Verlässlichkeit gründlich geprüft. Die Bestattung wurde demnach in der Mitte des 54. Jahrhunderts v. u. Z. angelegt; die Siedlungsaktivitäten lassen sich auf etwa 5370/5350–5250 v. u. Z. eingrenzen. Das Grab eines Kindes in der Längsgrube mit Außengraben 796/797 wurde nach dieser Zeit angelegt, wahrscheinlich erst in der späten Linearbandkeramik. Supplement: Detaillierte Liste der Radiocarbondaten aus Schwanfeld, die in dieser Untersuchung berücksichtigt wurden.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: Das bekannte Grab des sogenannten „Jäger / Kriegers“ aus der ältestbandkeramischen Siedlung von Schwanfeld in Unterfranken galt aufgrund seiner Radiocarbondatierung lange als frühester Beleg der Neolithisierung im westlichen Mitteleuropa. Da sich die seinerzeitige Probe inzwischen als kontaminiert erwies, wurden drei neue Messungen an diesem Skelett und weitere Daten aus der Siedlung gemeinsam neu kalibriert und dabei ihre Verlässlichkeit gründlich geprüft. Die Bestattung wurde demnach in der Mitte des 54. Jahrhunderts v. u. Z. angelegt; die Siedlungsaktivitäten lassen sich auf etwa 5370/5350–5250 v. u. Z. eingrenzen. Das Grab eines Kindes in der Längsgrube mit Außengraben 796/797 wurde nach dieser Zeit angelegt, wahrscheinlich erst in der späten Linearbandkeramik. Supplement: Detaillierte Liste der Radiocarbondaten aus Schwanfeld, die in dieser Untersuchung berücksichtigt wurden.","Subject":"Arts and Humanities","Keywords":"Neolithikum; Radiokarbondatierung"},{"pid":"doi:10.11588/data/B70P7M","Title":"Neue Untersuchungen zur absoluten Datierung des Männergrabes und der Siedlung auf dem ältestbandkeramischen Fundplatz Schwanfeld, Ldkr. Schweinfurt, Unterfranken [Supplement]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Neue Untersuchungen zur absoluten Datierung des Männergrabes und der Siedlung auf dem ältestbandkeramischen Fundplatz Schwanfeld, Ldkr. Schweinfurt, Unterfranken [Supplement]' Description:'Abstract: Das bekannte Grab des sogenannten „Jäger / Kriegers“ aus der ältestbandkeramischen Siedlung von Schwanfeld in Unterfranken galt aufgrund seiner Radiocarbondatierung lange als frühester Beleg der Neolithisierung im westlichen Mitteleuropa. Da sich die seinerzeitige Probe inzwischen als kontaminiert erwies, wurden drei neue Messungen an diesem Skelett und weitere Daten aus der Siedlung gemeinsam neu kalibriert und dabei ihre Verlässlichkeit gründlich geprüft. Die Bestattung wurde demnach in der Mitte des 54. Jahrhunderts v. u. Z. angelegt; die Siedlungsaktivitäten lassen sich auf etwa 5370/5350–5250 v. u. Z. eingrenzen. Das Grab eines Kindes in der Längsgrube mit Außengraben 796/797 wurde nach dieser Zeit angelegt, wahrscheinlich erst in der späten Linearbandkeramik. Supplement: Detaillierte Liste der Radiocarbondaten aus Schwanfeld, die in dieser Untersuchung berücksichtigt wurden.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Neolithikum; Radiokarbondatierung+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Neue Untersuchungen zur absoluten Datierung des Männergrabes und der Siedlung auf dem ältestbandkeramischen Fundplatz Schwanfeld, Ldkr. Schweinfurt, Unterfranken [Supplement]' Description:'Abstract: Das bekannte Grab des sogenannten „Jäger / Kriegers“ aus der ältestbandkeramischen Siedlung von Schwanfeld in Unterfranken galt aufgrund seiner Radiocarbondatierung lange als frühester Beleg der Neolithisierung im westlichen Mitteleuropa. Da sich die seinerzeitige Probe inzwischen als kontaminiert erwies, wurden drei neue Messungen an diesem Skelett und weitere Daten aus der Siedlung gemeinsam neu kalibriert und dabei ihre Verlässlichkeit gründlich geprüft. Die Bestattung wurde demnach in der Mitte des 54. Jahrhunderts v. u. Z. angelegt; die Siedlungsaktivitäten lassen sich auf etwa 5370/5350–5250 v. u. Z. eingrenzen. Das Grab eines Kindes in der Längsgrube mit Außengraben 796/797 wurde nach dieser Zeit angelegt, wahrscheinlich erst in der späten Linearbandkeramik. Supplement: Detaillierte Liste der Radiocarbondaten aus Schwanfeld, die in dieser Untersuchung berücksichtigt wurden.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: Das bekannte Grab des sogenannten „Jäger / Kriegers“ aus der ältestbandkeramischen Siedlung von Schwanfeld in Unterfranken galt aufgrund seiner Radiocarbondatierung lange als frühester Beleg der Neolithisierung im westlichen Mitteleuropa. Da sich die seinerzeitige Probe inzwischen als kontaminiert erwies, wurden drei neue Messungen an diesem Skelett und weitere Daten aus der Siedlung gemeinsam neu kalibriert und dabei ihre Verlässlichkeit gründlich geprüft. Die Bestattung wurde demnach in der Mitte des 54. Jahrhunderts v. u. Z. angelegt; die Siedlungsaktivitäten lassen sich auf etwa 5370/5350–5250 v. u. Z. eingrenzen. Das Grab eines Kindes in der Längsgrube mit Außengraben 796/797 wurde nach dieser Zeit angelegt, wahrscheinlich erst in der späten Linearbandkeramik. Supplement: Detaillierte Liste der Radiocarbondaten aus Schwanfeld, die in dieser Untersuchung berücksichtigt wurden.","Subject":"Arts and Humanities","Keywords":"Neolithikum; Radiokarbondatierung"},{"pid":"doi:10.11588/data/BBQYD0","Title":"GER_SET: Situation Entity Type labelled corpus for German","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GER_SET: Situation Entity Type labelled corpus for German' Description:'Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing. Forlì-Cesena, Italy.Carlota S. Smith (2003). Modes of discourse: The local structure of texts, volume 103. Cambridge University Press.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated dataset; argument analysis; corpus; detecting and filling knowledge gaps; exploitation of attention, context and the genre information; German; knowledge discovery; semantic clause type; sentence classification; situation entity; syntactic-semantic features+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GER_SET: Situation Entity Type labelled corpus for German' Description:'Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing. Forlì-Cesena, Italy.Carlota S. Smith (2003). Modes of discourse: The local structure of texts, volume 103. Cambridge University Press.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing. Forlì-Cesena, Italy.Carlota S. Smith (2003). Modes of discourse: The local structure of texts, volume 103. Cambridge University Press.","Subject":"Arts and Humanities","Keywords":"annotated dataset; argument analysis; corpus; detecting and filling knowledge gaps; exploitation of attention, context and the genre information; German; knowledge discovery; semantic clause type; sentence classification; situation entity; syntactic-semantic features"},{"pid":"doi:10.11588/data/BGUOKJ","Title":"Datenrepositorium Terenzens verba Graeca [Ergänzungsdaten]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Datenrepositorium Terenzens verba Graeca [Ergänzungsdaten]' Description:'Das Datenrepositorium enthält die Statistiken, Tabellen, Listen, Indizes, Grafiken und Konfigurationsdateien der Clusteranalyse mit R zu Studien der verba Graeca bei Terenz.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Clusteranalyse; Digital Humanities; Terenz+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Datenrepositorium Terenzens verba Graeca [Ergänzungsdaten]' Description:'Das Datenrepositorium enthält die Statistiken, Tabellen, Listen, Indizes, Grafiken und Konfigurationsdateien der Clusteranalyse mit R zu Studien der verba Graeca bei Terenz.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Das Datenrepositorium enthält die Statistiken, Tabellen, Listen, Indizes, Grafiken und Konfigurationsdateien der Clusteranalyse mit R zu Studien der verba Graeca bei Terenz.","Subject":"Arts and Humanities","Keywords":"Clusteranalyse; Digital Humanities; Terenz"},{"pid":"doi:10.11588/data/BJCKCB","Title":"Nouveaux médias: mythes et expérimentations dans les arts [research data & software]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Nouveaux médias: mythes et expérimentations dans les arts [research data & software]' Description:'The dataset contains the data of the website newmedia.dfk-paris.org, that offers the enhanced publication (published 2021-09-21) Publication of the annual research theme 2019-2020 “art and new media” of the German Center for Art History - DFK Paris. Hybrid digital publication (pdf, print on demand, multimedia web), editorial cooperation between DFK Paris (Passages online collection), NAIMA Editions (Paris/Berlin) and the digital platform arthistoricum.net (Heidelberg University Publishing).' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {art history; arts; computer art; new media; social sciences; video art+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Nouveaux médias: mythes et expérimentations dans les arts [research data & software]' Description:'The dataset contains the data of the website newmedia.dfk-paris.org, that offers the enhanced publication (published 2021-09-21) Publication of the annual research theme 2019-2020 “art and new media” of the German Center for Art History - DFK Paris. Hybrid digital publication (pdf, print on demand, multimedia web), editorial cooperation between DFK Paris (Passages online collection), NAIMA Editions (Paris/Berlin) and the digital platform arthistoricum.net (Heidelberg University Publishing).' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset contains the data of the website newmedia.dfk-paris.org, that offers the enhanced publication (published 2021-09-21) Publication of the annual research theme 2019-2020 “art and new media” of the German Center for Art History - DFK Paris. Hybrid digital publication (pdf, print on demand, multimedia web), editorial cooperation between DFK Paris (Passages online collection), NAIMA Editions (Paris/Berlin) and the digital platform arthistoricum.net (Heidelberg University Publishing).","Subject":"Arts and Humanities","Keywords":"art history; arts; computer art; new media; social sciences; video art"},{"pid":"doi:10.11588/data/C2OQN4","Title":"MACE-AL","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MACE-AL' Description:'A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Annotation noise; Annotation tool; Automatically annotated text; Error detection+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MACE-AL' Description:'A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.","Subject":"Arts and Humanities","Keywords":"Annotation noise; Annotation tool; Automatically annotated text; Error detection"},{"pid":"doi:10.11588/data/CHEPS6","Title":"LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]' Description:'LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das 'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur' als Anleitung für die schlüssige Strukturierung von Informationen über Gemälde und Skulpturen in lokalen Sammlungsmanagement-Systemen. In dem hier vorliegenden Dataset werden LIDO-XML-Beispieldatensätze für die Version LIDO v1.1. zur Verfügung gestellt, die unmittelbar bei der Vorbereitung eines Datenexports aus einem lokalen System als Anschauungsmaterial dienen können. Das Dataset umfasst sowohl vollständige LIDO-XML-Datensätze als auch einzelne Ausschnitte zur Illustration bestimmter Dokumentationsanforderungen (Snippets).Erfolgt die Bereitstellung von XML-Datensätzen über kulturelle Objekte gemäß den im LIDO XML-Schema definierten Regeln, so wird eine wesentliche Voraussetzung dafür geschaffen, dass die Daten rechtlich und technisch optimal durch Dritte nachgenutzt werden können. Außerdem werden Suchergebnisse in sammlungsübergreifenden Anwendungen hinsichtlich Recall und Precision verbessert. Informationen können so vernetzt werden, dass ein Mehrwert durch die Generierung von Wissen entsteht. Das Handbuch und die es begleitenden Beispiele entstanden im Rahmen des Projekts KONDA - Kontinuierliches Qualitätsmanagement von dynamischen Forschungsdaten zu Objekten der materiellen Kultur unter Nutzung des LIDO-Standards, gefördert vom Bundesministerium für Bildung und Forschung (BMBF).' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CIDOC Conceptual Reference Model; LIDO+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]' Description:'LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das 'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur' als Anleitung für die schlüssige Strukturierung von Informationen über Gemälde und Skulpturen in lokalen Sammlungsmanagement-Systemen. In dem hier vorliegenden Dataset werden LIDO-XML-Beispieldatensätze für die Version LIDO v1.1. zur Verfügung gestellt, die unmittelbar bei der Vorbereitung eines Datenexports aus einem lokalen System als Anschauungsmaterial dienen können. Das Dataset umfasst sowohl vollständige LIDO-XML-Datensätze als auch einzelne Ausschnitte zur Illustration bestimmter Dokumentationsanforderungen (Snippets).Erfolgt die Bereitstellung von XML-Datensätzen über kulturelle Objekte gemäß den im LIDO XML-Schema definierten Regeln, so wird eine wesentliche Voraussetzung dafür geschaffen, dass die Daten rechtlich und technisch optimal durch Dritte nachgenutzt werden können. Außerdem werden Suchergebnisse in sammlungsübergreifenden Anwendungen hinsichtlich Recall und Precision verbessert. Informationen können so vernetzt werden, dass ein Mehrwert durch die Generierung von Wissen entsteht. Das Handbuch und die es begleitenden Beispiele entstanden im Rahmen des Projekts KONDA - Kontinuierliches Qualitätsmanagement von dynamischen Forschungsdaten zu Objekten der materiellen Kultur unter Nutzung des LIDO-Standards, gefördert vom Bundesministerium für Bildung und Forschung (BMBF).' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das 'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur' als Anleitung für die schlüssige Strukturierung von Informationen über Gemälde und Skulpturen in lokalen Sammlungsmanagement-Systemen. In dem hier vorliegenden Dataset werden LIDO-XML-Beispieldatensätze für die Version LIDO v1.1. zur Verfügung gestellt, die unmittelbar bei der Vorbereitung eines Datenexports aus einem lokalen System als Anschauungsmaterial dienen können. Das Dataset umfasst sowohl vollständige LIDO-XML-Datensätze als auch einzelne Ausschnitte zur Illustration bestimmter Dokumentationsanforderungen (Snippets).Erfolgt die Bereitstellung von XML-Datensätzen über kulturelle Objekte gemäß den im LIDO XML-Schema definierten Regeln, so wird eine wesentliche Voraussetzung dafür geschaffen, dass die Daten rechtlich und technisch optimal durch Dritte nachgenutzt werden können. Außerdem werden Suchergebnisse in sammlungsübergreifenden Anwendungen hinsichtlich Recall und Precision verbessert. Informationen können so vernetzt werden, dass ein Mehrwert durch die Generierung von Wissen entsteht. Das Handbuch und die es begleitenden Beispiele entstanden im Rahmen des Projekts KONDA - Kontinuierliches Qualitätsmanagement von dynamischen Forschungsdaten zu Objekten der materiellen Kultur unter Nutzung des LIDO-Standards, gefördert vom Bundesministerium für Bildung und Forschung (BMBF).","Subject":"Arts and Humanities","Keywords":"CIDOC Conceptual Reference Model; LIDO"},{"pid":"doi:10.11588/data/CSXYSS","Title":"KGE Algorithms","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'KGE Algorithms' Description:' An updated method for link prediction that uses a regularization factor that models relation argument typesAbstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositoriesrelies on processing the available relation instances. Knowledgerepositories are not balanced in terms of relations or entities – thereare relations with less than 10 but also thousands of instances, andentities involved in less than 10 but also thousands of relations.Many relations, however, have clear domain and range, which wehypothesize could help learn a better, more generalizing, model.We include such information in the RESCAL model in the formof a regularization factor added to the loss function that takes intoaccount the types (categories) of the entities that appear as argumentsto relations in the knowledge base. Tested on Freebase, a frequentlyused benchmarking dataset for link/path predicting tasks, we noteincreased performance compared to the baseline model in terms ofmean reciprocal rank and hits@N, N = 1, 3, 10. Furthermore, wediscover scenarios that significantly impact the effectiveness of thetype regularizer.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {graph embedding; knowledge graphs; link prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'KGE Algorithms' Description:' An updated method for link prediction that uses a regularization factor that models relation argument typesAbstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositoriesrelies on processing the available relation instances. Knowledgerepositories are not balanced in terms of relations or entities – thereare relations with less than 10 but also thousands of instances, andentities involved in less than 10 but also thousands of relations.Many relations, however, have clear domain and range, which wehypothesize could help learn a better, more generalizing, model.We include such information in the RESCAL model in the formof a regularization factor added to the loss function that takes intoaccount the types (categories) of the entities that appear as argumentsto relations in the knowledge base. Tested on Freebase, a frequentlyused benchmarking dataset for link/path predicting tasks, we noteincreased performance compared to the baseline model in terms ofmean reciprocal rank and hits@N, N = 1, 3, 10. Furthermore, wediscover scenarios that significantly impact the effectiveness of thetype regularizer.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":" An updated method for link prediction that uses a regularization factor that models relation argument typesAbstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositoriesrelies on processing the available relation instances. Knowledgerepositories are not balanced in terms of relations or entities – thereare relations with less than 10 but also thousands of instances, andentities involved in less than 10 but also thousands of relations.Many relations, however, have clear domain and range, which wehypothesize could help learn a better, more generalizing, model.We include such information in the RESCAL model in the formof a regularization factor added to the loss function that takes intoaccount the types (categories) of the entities that appear as argumentsto relations in the knowledge base. Tested on Freebase, a frequentlyused benchmarking dataset for link/path predicting tasks, we noteincreased performance compared to the baseline model in terms ofmean reciprocal rank and hits@N, N = 1, 3, 10. Furthermore, wediscover scenarios that significantly impact the effectiveness of thetype regularizer.","Subject":"Arts and Humanities","Keywords":"graph embedding; knowledge graphs; link prediction"},{"pid":"doi:10.11588/data/CSYOYU","Title":"Ergänzungsmaterial zu: Das Kampfareal von Kalkriese. Fallstudie einer antiken Konfliktlandschaft","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Das Kampfareal von Kalkriese. Fallstudie einer antiken Konfliktlandschaft' Description:'Supplementary figures 4, 24, 41 & 52' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {battlefield archaeology; booty; conflict landscape; course of battle; Germanic pottery; Germanic settlements; Kalkriese; looting; Roman army; Varusschlacht+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Das Kampfareal von Kalkriese. Fallstudie einer antiken Konfliktlandschaft' Description:'Supplementary figures 4, 24, 41 & 52' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary figures 4, 24, 41 & 52","Subject":"Arts and Humanities","Keywords":"battlefield archaeology; booty; conflict landscape; course of battle; Germanic pottery; Germanic settlements; Kalkriese; looting; Roman army; Varusschlacht"},{"pid":"doi:10.11588/data/DHEQCP","Title":"The German, Swiss and Central-European Venus (Catalogue Vol. 4.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The German, Swiss and Central-European Venus (Catalogue Vol. 4.1)' Description:'Topical catalogue of 3198 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 1506 identified artists of Germany, Switzerland and Central-Europe, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 302 pp.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The German, Swiss and Central-European Venus (Catalogue Vol. 4.1)' Description:'Topical catalogue of 3198 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 1506 identified artists of Germany, Switzerland and Central-Europe, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 302 pp.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Topical catalogue of 3198 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 1506 identified artists of Germany, Switzerland and Central-Europe, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 302 pp.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/DHEQCP","Title":"The German, Swiss and Central-European Venus (Catalogue Vol. 4.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The German, Swiss and Central-European Venus (Catalogue Vol. 4.1)' Description:'Topical catalogue of 3198 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 1506 identified artists of Germany, Switzerland and Central-Europe, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 302 pp.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The German, Swiss and Central-European Venus (Catalogue Vol. 4.1)' Description:'Topical catalogue of 3198 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 1506 identified artists of Germany, Switzerland and Central-Europe, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 302 pp.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Topical catalogue of 3198 sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations of 1506 identified artists of Germany, Switzerland and Central-Europe, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 302 pp.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/DKG1AI","Title":"Supplementary Material zu: Geomorphological Diversity and Habitat Variability. A Model of Late Palaeolithic Catchment Composition in Northern Bavaria / Geomorphologische Diversität und Habitatvariabilität. Ein Modell der spätpaläolithischen Catchment in Nordbayern","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary Material zu: Geomorphological Diversity and Habitat Variability. A Model of Late Palaeolithic Catchment Composition in Northern Bavaria / Geomorphologische Diversität und Habitatvariabilität. Ein Modell der spätpaläolithischen Catchment in Nordbayern' Description:'Due to the lack of adequate data, the environmental and bioeconomic framework of archaeological sites often cannot be investigated. This situation is visible with the Late Palaeolithic in Southern Germany, which is typically represented by surface collections that do not provide ecological information. In this paper, we analyse the topographic composition of site-catchments of Late Palaeolithic sites in Northern Bavaria (Germany). We use a geomorphology-driven approach, which employs the close relationship between local topography and abiotic conditions relevant to plant growth. This way it is possible to model potential regional physiotope diversity and habitat patterning. This methodology allows the analysis of site-environment relationships in cases, when traditional proxies, like palynological or faunal data are lacking or do not provide an adequate spatial extent and resolution. In this paper, site catchment analysis and physiotope diversity estimation for Late Palaeolithic sites in the study area highlight the relevance of relatively specialized landscapes, which provide comparably wet conditions. This indicates the focus of Late Glacial foragers on the exploitation on bioresources associated with wetland and floodplain environments in the study area.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {biodiversity; catchment analysis; environmental modelling; geomorphology; land use pattern; Late Palaeolithic+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary Material zu: Geomorphological Diversity and Habitat Variability. A Model of Late Palaeolithic Catchment Composition in Northern Bavaria / Geomorphologische Diversität und Habitatvariabilität. Ein Modell der spätpaläolithischen Catchment in Nordbayern' Description:'Due to the lack of adequate data, the environmental and bioeconomic framework of archaeological sites often cannot be investigated. This situation is visible with the Late Palaeolithic in Southern Germany, which is typically represented by surface collections that do not provide ecological information. In this paper, we analyse the topographic composition of site-catchments of Late Palaeolithic sites in Northern Bavaria (Germany). We use a geomorphology-driven approach, which employs the close relationship between local topography and abiotic conditions relevant to plant growth. This way it is possible to model potential regional physiotope diversity and habitat patterning. This methodology allows the analysis of site-environment relationships in cases, when traditional proxies, like palynological or faunal data are lacking or do not provide an adequate spatial extent and resolution. In this paper, site catchment analysis and physiotope diversity estimation for Late Palaeolithic sites in the study area highlight the relevance of relatively specialized landscapes, which provide comparably wet conditions. This indicates the focus of Late Glacial foragers on the exploitation on bioresources associated with wetland and floodplain environments in the study area.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Due to the lack of adequate data, the environmental and bioeconomic framework of archaeological sites often cannot be investigated. This situation is visible with the Late Palaeolithic in Southern Germany, which is typically represented by surface collections that do not provide ecological information. In this paper, we analyse the topographic composition of site-catchments of Late Palaeolithic sites in Northern Bavaria (Germany). We use a geomorphology-driven approach, which employs the close relationship between local topography and abiotic conditions relevant to plant growth. This way it is possible to model potential regional physiotope diversity and habitat patterning. This methodology allows the analysis of site-environment relationships in cases, when traditional proxies, like palynological or faunal data are lacking or do not provide an adequate spatial extent and resolution. In this paper, site catchment analysis and physiotope diversity estimation for Late Palaeolithic sites in the study area highlight the relevance of relatively specialized landscapes, which provide comparably wet conditions. This indicates the focus of Late Glacial foragers on the exploitation on bioresources associated with wetland and floodplain environments in the study area.","Subject":"Arts and Humanities","Keywords":"biodiversity; catchment analysis; environmental modelling; geomorphology; land use pattern; Late Palaeolithic"},{"pid":"doi:10.11588/data/DVU14P","Title":"Kommentierte digitale Edition der Reise- und Sammlungsbeschreibungen Philipp Hainhofers (1578-1647)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Kommentierte digitale Edition der Reise- und Sammlungsbeschreibungen Philipp Hainhofers (1578-1647)' Description:'Dieses Datenset enthält die der Edition zugrundeliegenden Forschungsdaten, also vor allem die in TEI/XML codierten Transkriptionen und Kommentare sowie die daraus abgeleiteten Formate PDF, TXT und XHTML, außerdem die Register in PDF und XHTML.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Digitale Edition; Hainhofer, Philipp; Reisebericht+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Kommentierte digitale Edition der Reise- und Sammlungsbeschreibungen Philipp Hainhofers (1578-1647)' Description:'Dieses Datenset enthält die der Edition zugrundeliegenden Forschungsdaten, also vor allem die in TEI/XML codierten Transkriptionen und Kommentare sowie die daraus abgeleiteten Formate PDF, TXT und XHTML, außerdem die Register in PDF und XHTML.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dieses Datenset enthält die der Edition zugrundeliegenden Forschungsdaten, also vor allem die in TEI/XML codierten Transkriptionen und Kommentare sowie die daraus abgeleiteten Formate PDF, TXT und XHTML, außerdem die Register in PDF und XHTML.","Subject":"Arts and Humanities","Keywords":"Digitale Edition; Hainhofer, Philipp; Reisebericht"},{"pid":"doi:10.11588/data/E5EHBV","Title":"COREC – A neural multi-label COmmonsense RElation Classification system","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'COREC – A neural multi-label COmmonsense RElation Classification system' Description:'We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the specific properties of the CONCEPTNET resource such as relation ambiguity or argument heterogeneity, we investigate the impact of different relation representations and model variations. Our analysis reveals that the complexity of argument types and relation ambiguity are the most important challenges to address. We design a customized evaluation method to address the incompleteness of the resource that can be expanded in future work.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ConceptNet; Semantic relation classification+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'COREC – A neural multi-label COmmonsense RElation Classification system' Description:'We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the specific properties of the CONCEPTNET resource such as relation ambiguity or argument heterogeneity, we investigate the impact of different relation representations and model variations. Our analysis reveals that the complexity of argument types and relation ambiguity are the most important challenges to address. We design a customized evaluation method to address the incompleteness of the resource that can be expanded in future work.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the specific properties of the CONCEPTNET resource such as relation ambiguity or argument heterogeneity, we investigate the impact of different relation representations and model variations. Our analysis reveals that the complexity of argument types and relation ambiguity are the most important challenges to address. We design a customized evaluation method to address the incompleteness of the resource that can be expanded in future work.","Subject":"Arts and Humanities","Keywords":"ConceptNet; Semantic relation classification"},{"pid":"doi:10.11588/data/ENNK5V","Title":"Ergänzende Materialien zu: Archäologisch-baugeschichtliche Studie zu den Dorfkirchen im ehemaligen Bistum Konstanz","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzende Materialien zu: Archäologisch-baugeschichtliche Studie zu den Dorfkirchen im ehemaligen Bistum Konstanz' Description:'Tabelle der Fundorte und Befunde' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Diözese Konstanz; Kirchenbau; Mittelalter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzende Materialien zu: Archäologisch-baugeschichtliche Studie zu den Dorfkirchen im ehemaligen Bistum Konstanz' Description:'Tabelle der Fundorte und Befunde' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Tabelle der Fundorte und Befunde","Subject":"Arts and Humanities","Keywords":"Diözese Konstanz; Kirchenbau; Mittelalter"},{"pid":"doi:10.11588/data/ERDJDI","Title":"Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]' Description:'AbstractModal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We bench-mark the CNN on a standard WSD task,where it compares favorably to models using sense-disambiguated target vectors. (Marasović and Frank, 2016)' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Modal sense classification (MSC); modal verb; semantic feature; word embedding; Word Sense Disambiguation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]' Description:'AbstractModal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We bench-mark the CNN on a standard WSD task,where it compares favorably to models using sense-disambiguated target vectors. (Marasović and Frank, 2016)' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"AbstractModal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We bench-mark the CNN on a standard WSD task,where it compares favorably to models using sense-disambiguated target vectors. (Marasović and Frank, 2016)","Subject":"Arts and Humanities","Keywords":"Modal sense classification (MSC); modal verb; semantic feature; word embedding; Word Sense Disambiguation"},{"pid":"doi:10.11588/data/FIWOPW","Title":"Catalogue of Costume Books, Albums, and Print Series","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Catalogue of Costume Books, Albums, and Print Series' Description:'This catalogue lists European costume books, albums or print series produced in the sixteenth and seventeenth centuries. As well as providing bibliographical data, the catalogue records known holdings of these works in the collections of different institutions. Hyperlinks to institutional catalogue entries and digitalized copies are provided.Repeat entries for single titles record the cases in which multiple printed copies are known to survive in different institutional collections.The catalogue is not a complete, exhaustive record yet provides researchers with a functional tool for finding and sourcing a large quantity of the costume material that characterised the visual culture of early modern Europe.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {clothing; costume; costume (mode of fashion); history of costume; print culture; seventeenth century (dates CE); sixteenth century (dates CE); Trachtenbuch; visual culture+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Catalogue of Costume Books, Albums, and Print Series' Description:'This catalogue lists European costume books, albums or print series produced in the sixteenth and seventeenth centuries. As well as providing bibliographical data, the catalogue records known holdings of these works in the collections of different institutions. Hyperlinks to institutional catalogue entries and digitalized copies are provided.Repeat entries for single titles record the cases in which multiple printed copies are known to survive in different institutional collections.The catalogue is not a complete, exhaustive record yet provides researchers with a functional tool for finding and sourcing a large quantity of the costume material that characterised the visual culture of early modern Europe.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This catalogue lists European costume books, albums or print series produced in the sixteenth and seventeenth centuries. As well as providing bibliographical data, the catalogue records known holdings of these works in the collections of different institutions. Hyperlinks to institutional catalogue entries and digitalized copies are provided.Repeat entries for single titles record the cases in which multiple printed copies are known to survive in different institutional collections.The catalogue is not a complete, exhaustive record yet provides researchers with a functional tool for finding and sourcing a large quantity of the costume material that characterised the visual culture of early modern Europe.","Subject":"Arts and Humanities","Keywords":"clothing; costume; costume (mode of fashion); history of costume; print culture; seventeenth century (dates CE); sixteenth century (dates CE); Trachtenbuch; visual culture"},{"pid":"doi:10.11588/data/GH511N","Title":"Turkology Annual Online – Full bibliographic records","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Turkology Annual Online – Full bibliographic records' Description:'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated bibliography; Turkologie+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Turkology Annual Online – Full bibliographic records' Description:'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject:'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.","Subject":"Arts and Humanities","Keywords":"annotated bibliography; Turkologie"},{"pid":"doi:10.11588/data/GLQG7Z","Title":"Late Antique Statue Bases of Lepcis Magna","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Late Antique Statue Bases of Lepcis Magna' Description:'Interactive and searchable map of the city of Lepcis Magna, displaying the geographical distribution within the city scape of the late antique honorary and building inscriptions.When translating a multi-faceted and multi-layered reality such as that of late antique Lepcis into a categorized environment, a certain level of simplification is needed, therefore reference to the written sources for detailed discussion remains indispensable (see I. Tantillo / F. Bigi, Leptis Magna. Una città e le sue iscrizioni in epoca tardoromana, Cassino 2010; as the map itself is a simplified rendering of the city and its buildings, please refer to existing bibliography for detailed maps, e.g. R. Bianchi Bandinelli / E. Vergara Caffarelli / G. Caputo, Leptis Magna, Milano 1964).The map features all public inscriptions – published so far – produced in Lepcis in the period between 250 and 420 ad (six minor fragments with insufficient data have been left out: HD059617; HD059642; HD059661; HD067591; HD067593; HD059436). It also includes a series of four monuments whose inscription is now lost but which can be nonetheless assigned to the same period (B.L.T. = Bases with Lost Text). All the relevant data have been collected in a searchable database and grouped in ten fields.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Epigraphik; Inschrift; Inscription; Leptis Magna; Spätantike+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Late Antique Statue Bases of Lepcis Magna' Description:'Interactive and searchable map of the city of Lepcis Magna, displaying the geographical distribution within the city scape of the late antique honorary and building inscriptions.When translating a multi-faceted and multi-layered reality such as that of late antique Lepcis into a categorized environment, a certain level of simplification is needed, therefore reference to the written sources for detailed discussion remains indispensable (see I. Tantillo / F. Bigi, Leptis Magna. Una città e le sue iscrizioni in epoca tardoromana, Cassino 2010; as the map itself is a simplified rendering of the city and its buildings, please refer to existing bibliography for detailed maps, e.g. R. Bianchi Bandinelli / E. Vergara Caffarelli / G. Caputo, Leptis Magna, Milano 1964).The map features all public inscriptions – published so far – produced in Lepcis in the period between 250 and 420 ad (six minor fragments with insufficient data have been left out: HD059617; HD059642; HD059661; HD067591; HD067593; HD059436). It also includes a series of four monuments whose inscription is now lost but which can be nonetheless assigned to the same period (B.L.T. = Bases with Lost Text). All the relevant data have been collected in a searchable database and grouped in ten fields.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Interactive and searchable map of the city of Lepcis Magna, displaying the geographical distribution within the city scape of the late antique honorary and building inscriptions.When translating a multi-faceted and multi-layered reality such as that of late antique Lepcis into a categorized environment, a certain level of simplification is needed, therefore reference to the written sources for detailed discussion remains indispensable (see I. Tantillo / F. Bigi, Leptis Magna. Una città e le sue iscrizioni in epoca tardoromana, Cassino 2010; as the map itself is a simplified rendering of the city and its buildings, please refer to existing bibliography for detailed maps, e.g. R. Bianchi Bandinelli / E. Vergara Caffarelli / G. Caputo, Leptis Magna, Milano 1964).The map features all public inscriptions – published so far – produced in Lepcis in the period between 250 and 420 ad (six minor fragments with insufficient data have been left out: HD059617; HD059642; HD059661; HD067591; HD067593; HD059436). It also includes a series of four monuments whose inscription is now lost but which can be nonetheless assigned to the same period (B.L.T. = Bases with Lost Text). All the relevant data have been collected in a searchable database and grouped in ten fields.","Subject":"Arts and Humanities","Keywords":"Epigraphik; Inschrift; Inscription; Leptis Magna; Spätantike"},{"pid":"doi:10.11588/data/GVVWN4","Title":"Typisierung der Handexemplare der Galerie Hugo Helbing und der Protokollkataloge des Kunstsalons Paul Cassirer","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Typisierung der Handexemplare der Galerie Hugo Helbing und der Protokollkataloge des Kunstsalons Paul Cassirer' Description:'Die Tabelle enthält alle im Rahmen des DFG-Gemeinschaftsprojekts Unikales Quellenmaterial zum deutschen Kunsthandel: Digitalisierung und Erschließung der Handexemplare der Kataloge des Münchner Auktionshauses Hugo Helbing (1887 bis 1937) des Zentralinstituts für Kunstgeschichte in München (ZI) und der UB Heidelberg in Kooperation mit der TU Berlin (1. Januar 2021 bis 30. April 2022) digitalisierten und typisierten Handexemplare der Auktions- und Lagerkataloge der Galerie Hugo Helbing und Protokollkataloge des Kunstsalons Paul Cassirer. Sie dokumentiert für jedes Exemplar, welcher Person es innerhalb der Galerie Helbing bzw. des Kunstsalons Paul Cassirer zugordnet werden konnte, welche Arten von Listen und welche Annotationskategorien es enthält.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotations; art market; Auktion; Hugo Helbing (München); Kunstmarkt; Kunstsalon Paul Cassirer; provenance research; Provenienzforschung+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Typisierung der Handexemplare der Galerie Hugo Helbing und der Protokollkataloge des Kunstsalons Paul Cassirer' Description:'Die Tabelle enthält alle im Rahmen des DFG-Gemeinschaftsprojekts Unikales Quellenmaterial zum deutschen Kunsthandel: Digitalisierung und Erschließung der Handexemplare der Kataloge des Münchner Auktionshauses Hugo Helbing (1887 bis 1937) des Zentralinstituts für Kunstgeschichte in München (ZI) und der UB Heidelberg in Kooperation mit der TU Berlin (1. Januar 2021 bis 30. April 2022) digitalisierten und typisierten Handexemplare der Auktions- und Lagerkataloge der Galerie Hugo Helbing und Protokollkataloge des Kunstsalons Paul Cassirer. Sie dokumentiert für jedes Exemplar, welcher Person es innerhalb der Galerie Helbing bzw. des Kunstsalons Paul Cassirer zugordnet werden konnte, welche Arten von Listen und welche Annotationskategorien es enthält.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die Tabelle enthält alle im Rahmen des DFG-Gemeinschaftsprojekts Unikales Quellenmaterial zum deutschen Kunsthandel: Digitalisierung und Erschließung der Handexemplare der Kataloge des Münchner Auktionshauses Hugo Helbing (1887 bis 1937) des Zentralinstituts für Kunstgeschichte in München (ZI) und der UB Heidelberg in Kooperation mit der TU Berlin (1. Januar 2021 bis 30. April 2022) digitalisierten und typisierten Handexemplare der Auktions- und Lagerkataloge der Galerie Hugo Helbing und Protokollkataloge des Kunstsalons Paul Cassirer. Sie dokumentiert für jedes Exemplar, welcher Person es innerhalb der Galerie Helbing bzw. des Kunstsalons Paul Cassirer zugordnet werden konnte, welche Arten von Listen und welche Annotationskategorien es enthält.","Subject":"Arts and Humanities","Keywords":"annotations; art market; Auktion; Hugo Helbing (München); Kunstmarkt; Kunstsalon Paul Cassirer; provenance research; Provenienzforschung"},{"pid":"doi:10.11588/data/H2ILIH","Title":"Katalog der „Altfundstellen“ der Neumark (in der ehemaligen Provinz Brandenburg in den heutigen Wojewodschaften Zachodnio-Pomorskie, Lubuskie und Wielkopolskie) aus den Archiven der Prähistorischen Abteilung des Märkischen Museums Berlin, des Museums für Vor- und Frühgeschichte Berlin und des Brandenburgischen Landesamts für Denkmalpflege.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Katalog der „Altfundstellen“ der Neumark (in der ehemaligen Provinz Brandenburg in den heutigen Wojewodschaften Zachodnio-Pomorskie, Lubuskie und Wielkopolskie) aus den Archiven der Prähistorischen Abteilung des Märkischen Museums Berlin, des Museums für Vor- und Frühgeschichte Berlin und des Brandenburgischen Landesamts für Denkmalpflege.' Description:'Das Gebiet der ehemaligen Neumark ist seit über 100 Jahren als archäologisch fundreiche Region bekannt. Zahlreiche, aber auch außergewöhnliche Funde, die immer wieder gemacht wurden, belegen dies sehr eindrucksvoll. Diese archäologischen Hinterlassenschaften vergangener Kulturen weisen auf unterschiedliche Einflüsse aus verschiedenen benachbarten Regionen hin. Das Untersuchungsgebiet der Neumark ist eine in sich nicht geschlossene Region, sondern es sind aus Ost und West sowie Nord und Süd unterschiedliche kulturelle Merkmale im archäologischen Fundgut auszumachen. Diese komplexen Zusammenhänge näher zu beleuchten soll eine Aufgabe dieser Untersuchung sein. Dabei geht es besonders um die Entwicklung der Kulturlandschaft, deren heutiges Erscheinungsbild stark durch die Vorgänge des frühen bis späten Mittelalters geprägt wurde. Besiedlungsvorgänge können natürlich nicht die gesamte Kulturlandschaftsgenese aufzeigen. Aber, sofern sie mit archäologischen Mitteln fassbar sind, können sie die Erschließung einer Landschaft recht gut, durch die räumliche Verteilung der Artefakte aus verschiedenen archäologischen Kulturstufen im zeitlichen Verlauf, erhellen. Grundlage der Untersuchung bildet der Fundstellenkatalog mit über 1400 Fundstellen vom Jungpaläolithikum bis zum Spätmittelalter auf dem Gebiet der ehemaligen Neumark. Zur exakten Fundstellenaufnahme wurden in den Archiven der Prähistorischen Abteilung des Märkischen Museums Berlin, des Museums für Vor- und Frühgeschichte Berlin sowie des Brandenburgischen Landesamts für Denkmalpflege die Akten der brandenburgischen Altkreise (bis 1945) Königsberg/Nm., Landsberg/ a.d. Warthe, Soldin, Friedeberg, Arnswalde, West- und Oststernberg gesichtet und ausgewertet. Diese sieben Altkreise stellen die Neumark in den politischen und verwaltungseinheitlichen Grenzen um 1900 dar. Die räumliche Eingrenzung, war notwendig um eine Gebietseinheit zu schaffen, denn die Grenzen der Neumark unterlagen im Verlauf der Jahrhunderte zahlreichen administrativen Veränderungen. Eine zeitliche Zäsur stellt das Jahr 1945 dar, da die brandenburgischen, östlich der Oder und Neiße liegenden Altkreise nur bis zu diesem Zeitpunkt zum deutschen Gebiet gehörten. Nach 1945 wurden von der polnischen Archäologie selbstverständlich weiterhin Funde auf dem Gebiet der ehemaligen Neumark gemacht, die den Archiven der regional zuständigen Landesarchäologien der Wojewodschaften Zachodnio-Pomorskie, Lubuskie und Wielkopolskie, deren Teilbereiche das Gebiet der ehemaligen Neumark abdecken, nun zugeordnet sind. Bis heute steht eine umfassende und aktuelle archäologische Auswertung der zahlreichen Funde der Neumark aus. Alfred Götzes schmales Heftchen „Die Vorgeschichte der Neumark“ von 1896 ist bis heute die einzige regional epochenübergreifende Auswertung der damals bekannten Funde. Der Forschungsstand auf dem Gebiet der ehemaligen Neumark steht weit hinter dem anderer Teile Polens. Das überaus reiche Fundmaterial deutscher Museen aus der Zeit bis 1945 ist bis heute jedoch noch immer nahezu unpubliziert. Nach 1945 wurde Westpolen zur Marginalregion, die weitgehend ihren ländlichen Charakter behielt. Durch die geringere Bautätigkeit wurden auch weniger Artefakte geborgen. Seit der politischen Wende, in Polen und in der DDR, wurden Teile des Untersuchungsgebietes wieder verstärkt zum Transitland zwischen Ost und West. Dadurch kam es auch in der Region zu einem Wandel der Infrastruktur, der mit einer verstärkten Bautätigkeit verbunden ist und eine höhere Anzahl von archäologischen Funden zur Folge hat. Trotzdem blieb das Fundverteilungsbild ausschnitthaft mit „Zufallscharakter“, da viele Altfunde in Polen unbekannt sind und bis heute unbearbeitet in den deutschen Archiven und Museen schlummerten.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archaeology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Katalog der „Altfundstellen“ der Neumark (in der ehemaligen Provinz Brandenburg in den heutigen Wojewodschaften Zachodnio-Pomorskie, Lubuskie und Wielkopolskie) aus den Archiven der Prähistorischen Abteilung des Märkischen Museums Berlin, des Museums für Vor- und Frühgeschichte Berlin und des Brandenburgischen Landesamts für Denkmalpflege.' Description:'Das Gebiet der ehemaligen Neumark ist seit über 100 Jahren als archäologisch fundreiche Region bekannt. Zahlreiche, aber auch außergewöhnliche Funde, die immer wieder gemacht wurden, belegen dies sehr eindrucksvoll. Diese archäologischen Hinterlassenschaften vergangener Kulturen weisen auf unterschiedliche Einflüsse aus verschiedenen benachbarten Regionen hin. Das Untersuchungsgebiet der Neumark ist eine in sich nicht geschlossene Region, sondern es sind aus Ost und West sowie Nord und Süd unterschiedliche kulturelle Merkmale im archäologischen Fundgut auszumachen. Diese komplexen Zusammenhänge näher zu beleuchten soll eine Aufgabe dieser Untersuchung sein. Dabei geht es besonders um die Entwicklung der Kulturlandschaft, deren heutiges Erscheinungsbild stark durch die Vorgänge des frühen bis späten Mittelalters geprägt wurde. Besiedlungsvorgänge können natürlich nicht die gesamte Kulturlandschaftsgenese aufzeigen. Aber, sofern sie mit archäologischen Mitteln fassbar sind, können sie die Erschließung einer Landschaft recht gut, durch die räumliche Verteilung der Artefakte aus verschiedenen archäologischen Kulturstufen im zeitlichen Verlauf, erhellen. Grundlage der Untersuchung bildet der Fundstellenkatalog mit über 1400 Fundstellen vom Jungpaläolithikum bis zum Spätmittelalter auf dem Gebiet der ehemaligen Neumark. Zur exakten Fundstellenaufnahme wurden in den Archiven der Prähistorischen Abteilung des Märkischen Museums Berlin, des Museums für Vor- und Frühgeschichte Berlin sowie des Brandenburgischen Landesamts für Denkmalpflege die Akten der brandenburgischen Altkreise (bis 1945) Königsberg/Nm., Landsberg/ a.d. Warthe, Soldin, Friedeberg, Arnswalde, West- und Oststernberg gesichtet und ausgewertet. Diese sieben Altkreise stellen die Neumark in den politischen und verwaltungseinheitlichen Grenzen um 1900 dar. Die räumliche Eingrenzung, war notwendig um eine Gebietseinheit zu schaffen, denn die Grenzen der Neumark unterlagen im Verlauf der Jahrhunderte zahlreichen administrativen Veränderungen. Eine zeitliche Zäsur stellt das Jahr 1945 dar, da die brandenburgischen, östlich der Oder und Neiße liegenden Altkreise nur bis zu diesem Zeitpunkt zum deutschen Gebiet gehörten. Nach 1945 wurden von der polnischen Archäologie selbstverständlich weiterhin Funde auf dem Gebiet der ehemaligen Neumark gemacht, die den Archiven der regional zuständigen Landesarchäologien der Wojewodschaften Zachodnio-Pomorskie, Lubuskie und Wielkopolskie, deren Teilbereiche das Gebiet der ehemaligen Neumark abdecken, nun zugeordnet sind. Bis heute steht eine umfassende und aktuelle archäologische Auswertung der zahlreichen Funde der Neumark aus. Alfred Götzes schmales Heftchen „Die Vorgeschichte der Neumark“ von 1896 ist bis heute die einzige regional epochenübergreifende Auswertung der damals bekannten Funde. Der Forschungsstand auf dem Gebiet der ehemaligen Neumark steht weit hinter dem anderer Teile Polens. Das überaus reiche Fundmaterial deutscher Museen aus der Zeit bis 1945 ist bis heute jedoch noch immer nahezu unpubliziert. Nach 1945 wurde Westpolen zur Marginalregion, die weitgehend ihren ländlichen Charakter behielt. Durch die geringere Bautätigkeit wurden auch weniger Artefakte geborgen. Seit der politischen Wende, in Polen und in der DDR, wurden Teile des Untersuchungsgebietes wieder verstärkt zum Transitland zwischen Ost und West. Dadurch kam es auch in der Region zu einem Wandel der Infrastruktur, der mit einer verstärkten Bautätigkeit verbunden ist und eine höhere Anzahl von archäologischen Funden zur Folge hat. Trotzdem blieb das Fundverteilungsbild ausschnitthaft mit „Zufallscharakter“, da viele Altfunde in Polen unbekannt sind und bis heute unbearbeitet in den deutschen Archiven und Museen schlummerten.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Das Gebiet der ehemaligen Neumark ist seit über 100 Jahren als archäologisch fundreiche Region bekannt. Zahlreiche, aber auch außergewöhnliche Funde, die immer wieder gemacht wurden, belegen dies sehr eindrucksvoll. Diese archäologischen Hinterlassenschaften vergangener Kulturen weisen auf unterschiedliche Einflüsse aus verschiedenen benachbarten Regionen hin. Das Untersuchungsgebiet der Neumark ist eine in sich nicht geschlossene Region, sondern es sind aus Ost und West sowie Nord und Süd unterschiedliche kulturelle Merkmale im archäologischen Fundgut auszumachen. Diese komplexen Zusammenhänge näher zu beleuchten soll eine Aufgabe dieser Untersuchung sein. Dabei geht es besonders um die Entwicklung der Kulturlandschaft, deren heutiges Erscheinungsbild stark durch die Vorgänge des frühen bis späten Mittelalters geprägt wurde. Besiedlungsvorgänge können natürlich nicht die gesamte Kulturlandschaftsgenese aufzeigen. Aber, sofern sie mit archäologischen Mitteln fassbar sind, können sie die Erschließung einer Landschaft recht gut, durch die räumliche Verteilung der Artefakte aus verschiedenen archäologischen Kulturstufen im zeitlichen Verlauf, erhellen. Grundlage der Untersuchung bildet der Fundstellenkatalog mit über 1400 Fundstellen vom Jungpaläolithikum bis zum Spätmittelalter auf dem Gebiet der ehemaligen Neumark. Zur exakten Fundstellenaufnahme wurden in den Archiven der Prähistorischen Abteilung des Märkischen Museums Berlin, des Museums für Vor- und Frühgeschichte Berlin sowie des Brandenburgischen Landesamts für Denkmalpflege die Akten der brandenburgischen Altkreise (bis 1945) Königsberg/Nm., Landsberg/ a.d. Warthe, Soldin, Friedeberg, Arnswalde, West- und Oststernberg gesichtet und ausgewertet. Diese sieben Altkreise stellen die Neumark in den politischen und verwaltungseinheitlichen Grenzen um 1900 dar. Die räumliche Eingrenzung, war notwendig um eine Gebietseinheit zu schaffen, denn die Grenzen der Neumark unterlagen im Verlauf der Jahrhunderte zahlreichen administrativen Veränderungen. Eine zeitliche Zäsur stellt das Jahr 1945 dar, da die brandenburgischen, östlich der Oder und Neiße liegenden Altkreise nur bis zu diesem Zeitpunkt zum deutschen Gebiet gehörten. Nach 1945 wurden von der polnischen Archäologie selbstverständlich weiterhin Funde auf dem Gebiet der ehemaligen Neumark gemacht, die den Archiven der regional zuständigen Landesarchäologien der Wojewodschaften Zachodnio-Pomorskie, Lubuskie und Wielkopolskie, deren Teilbereiche das Gebiet der ehemaligen Neumark abdecken, nun zugeordnet sind. Bis heute steht eine umfassende und aktuelle archäologische Auswertung der zahlreichen Funde der Neumark aus. Alfred Götzes schmales Heftchen „Die Vorgeschichte der Neumark“ von 1896 ist bis heute die einzige regional epochenübergreifende Auswertung der damals bekannten Funde. Der Forschungsstand auf dem Gebiet der ehemaligen Neumark steht weit hinter dem anderer Teile Polens. Das überaus reiche Fundmaterial deutscher Museen aus der Zeit bis 1945 ist bis heute jedoch noch immer nahezu unpubliziert. Nach 1945 wurde Westpolen zur Marginalregion, die weitgehend ihren ländlichen Charakter behielt. Durch die geringere Bautätigkeit wurden auch weniger Artefakte geborgen. Seit der politischen Wende, in Polen und in der DDR, wurden Teile des Untersuchungsgebietes wieder verstärkt zum Transitland zwischen Ost und West. Dadurch kam es auch in der Region zu einem Wandel der Infrastruktur, der mit einer verstärkten Bautätigkeit verbunden ist und eine höhere Anzahl von archäologischen Funden zur Folge hat. Trotzdem blieb das Fundverteilungsbild ausschnitthaft mit „Zufallscharakter“, da viele Altfunde in Polen unbekannt sind und bis heute unbearbeitet in den deutschen Archiven und Museen schlummerten.","Subject":"Arts and Humanities","Keywords":"Archaeology"},{"pid":"doi:10.11588/data/HBAVWG","Title":"Zur absoluten Chronologie der Einzelgrabkultur in Norddeutschland und Nordjütland [Supplement]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Zur absoluten Chronologie der Einzelgrabkultur in Norddeutschland und Nordjütland [Supplement]' Description:'Mit der Absicht ein typochronologisches Modell der geschweiften Becher der norddeutschen Einzelgrabkultur und damit eine detaillierte chronologische Differenzierung für die Diskussion historischer Prozesse zu entwickeln, erfolgt zunächst eine absolutchronologische Einordnung der Bestattungen der Einzelgrabkultur in Nordjütland (Dänemark), an die sich die Einbindung von radiometrischen Datierungen in typologische Analysen und eine Modellierung der 14C-Daten aus Bestattungen für den norddeutschen Raum anschließt. Das Ergebnis ist eine absolutchronologische Typentwicklung der geschweiften Becher in Norddeutschland zwischen 2900 und 2150 cal BC mit einer absolutchronologischen Fixierung der Grabinventare der Einzelgrabkultur in Nordjütland zwischen 2750 und 2330 cal BC.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Absolute Chronologie; Bestattung; Einzelgrabkultur; Jütland; Norddeutschland; Typochronologie+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Zur absoluten Chronologie der Einzelgrabkultur in Norddeutschland und Nordjütland [Supplement]' Description:'Mit der Absicht ein typochronologisches Modell der geschweiften Becher der norddeutschen Einzelgrabkultur und damit eine detaillierte chronologische Differenzierung für die Diskussion historischer Prozesse zu entwickeln, erfolgt zunächst eine absolutchronologische Einordnung der Bestattungen der Einzelgrabkultur in Nordjütland (Dänemark), an die sich die Einbindung von radiometrischen Datierungen in typologische Analysen und eine Modellierung der 14C-Daten aus Bestattungen für den norddeutschen Raum anschließt. Das Ergebnis ist eine absolutchronologische Typentwicklung der geschweiften Becher in Norddeutschland zwischen 2900 und 2150 cal BC mit einer absolutchronologischen Fixierung der Grabinventare der Einzelgrabkultur in Nordjütland zwischen 2750 und 2330 cal BC.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mit der Absicht ein typochronologisches Modell der geschweiften Becher der norddeutschen Einzelgrabkultur und damit eine detaillierte chronologische Differenzierung für die Diskussion historischer Prozesse zu entwickeln, erfolgt zunächst eine absolutchronologische Einordnung der Bestattungen der Einzelgrabkultur in Nordjütland (Dänemark), an die sich die Einbindung von radiometrischen Datierungen in typologische Analysen und eine Modellierung der 14C-Daten aus Bestattungen für den norddeutschen Raum anschließt. Das Ergebnis ist eine absolutchronologische Typentwicklung der geschweiften Becher in Norddeutschland zwischen 2900 und 2150 cal BC mit einer absolutchronologischen Fixierung der Grabinventare der Einzelgrabkultur in Nordjütland zwischen 2750 und 2330 cal BC.","Subject":"Arts and Humanities","Keywords":"Absolute Chronologie; Bestattung; Einzelgrabkultur; Jütland; Norddeutschland; Typochronologie"},{"pid":"doi:10.11588/data/HE3BAZ","Title":"Converter for content-to-head style syntactic dependencies","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Converter for content-to-head style syntactic dependencies' Description:'A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; dependency parsing; syntactic parsing; Universal Dependency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Converter for content-to-head style syntactic dependencies' Description:'A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).","Subject":"Arts and Humanities","Keywords":"annotation; dependency parsing; syntactic parsing; Universal Dependency"},{"pid":"doi:10.11588/data/HF0LX9","Title":"The LBK site of Vráble in Southwestern Slovakia: Selected results of the excavation season 2016 (Supplementary Material)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The LBK site of Vráble in Southwestern Slovakia: Selected results of the excavation season 2016 (Supplementary Material)' Description:'Table 8' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archäobotanik; excavation report; house plans; Linearbandkeramik; long distance relations; Neolithikum; Siedlung; Siedlungsgang; social fission and fusion; Südwestslowakei+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The LBK site of Vráble in Southwestern Slovakia: Selected results of the excavation season 2016 (Supplementary Material)' Description:'Table 8' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Table 8","Subject":"Arts and Humanities","Keywords":"Archäobotanik; excavation report; house plans; Linearbandkeramik; long distance relations; Neolithikum; Siedlung; Siedlungsgang; social fission and fusion; Südwestslowakei"},{"pid":"doi:10.11588/data/HVXXIJ","Title":"X-SRL Dataset and mBERT Word Aligner","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-SRL Dataset and mBERT Word Aligner' Description:'This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled Englishsentences) into the target side (for example a German translation of thesentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation projection; multilingual BERT; multilingual semantic role labeling; SRL; word alignment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-SRL Dataset and mBERT Word Aligner' Description:'This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled Englishsentences) into the target side (for example a German translation of thesentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled Englishsentences) into the target side (for example a German translation of thesentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages.","Subject":"Arts and Humanities","Keywords":"annotation projection; multilingual BERT; multilingual semantic role labeling; SRL; word alignment"},{"pid":"doi:10.11588/data/IOHXDF","Title":"Twitter Titling Corpus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Twitter Titling Corpus' Description:'The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to president out offirst-name (FN)last-name (LN)first-name last-name (FNLN)title last-name (TLN)title first-name last-name (TFNLN)' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated tweets; computational social science; entity framing; political discourse; sentiment; social media; twitter corpus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Twitter Titling Corpus' Description:'The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to president out offirst-name (FN)last-name (LN)first-name last-name (FNLN)title last-name (TLN)title first-name last-name (TFNLN)' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to president out offirst-name (FN)last-name (LN)first-name last-name (FNLN)title last-name (TLN)title first-name last-name (TFNLN)","Subject":"Arts and Humanities","Keywords":"annotated tweets; computational social science; entity framing; political discourse; sentiment; social media; twitter corpus"},{"pid":"doi:10.11588/data/IXPRVW","Title":"Semantische Datenmodellierung für Bauwerke und ihre Ausstattung BAFO (Herder-Institut Marburg)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Semantische Datenmodellierung für Bauwerke und ihre Ausstattung BAFO (Herder-Institut Marburg)' Description:'Die Semantische Datenmodellierung für Bauwerke und Ausstattungsobjekte war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes 'Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und Erschließung von Kunst und Architektur' (2018-2021).Im Rahmen des Projektes wurden u.a. Anwendungsontologie Building and Furnishing Ontology (BAFO) und das Bauwerke und ihre Ausstattung BAFO Mustertemplate im WissKI-Pathbuilder entwickelt. Sie besteht aus Klassen und Eigenschaften, die für die Erfassung von Bauobjekten und damit verbundenen Ausstattungsstücken im Sinne eines Objektverzeichnisses notwendig sind. Über den folgenden Weblink kann die aktuelle Version (current Version) aufgerufen und unter Berücksichtigung der Lizenz CC-BY-SA 4.0 (Rechteinhaber: Herder-Institut für historische Ostmitteleuropaforschung in Marburg) nachgenutzt werden: http://lod.ub.uni-heidelberg.de/ontologies/bafo/Ergänzungen von Klassen und Eigenschaften durch das Herder-Institut sind möglich. Beachten Sie dazu die Angaben zur Versionshistorie (prior version) in der OWL-Datei. Da in der Anwendungsontologie nur additive Änderungen erfolgen, ist eine Rückwärtskompatibilität garantiert.Unter dem Einsatz Anwendungsontologie BAFO wurde Mustertemplate im WissKI-Pathbuilder respektive Datenmodell entwickelt, welches eine detaillierte wissenschaftliche Erschließung bietet. Das Datenmodell des Muster-Templates kann weiterentwickelt werden, um es besser an weitere Fragestellungen anderer Projekte zur Architektur- und Kunstforschung anzupassen.Datenmodel wurde in eine Instanz von Wissenschaftlichen Kommunikationsinfrastruktur (WissKI) implementiert. Diese Demo-Instanz zeigt eine beispielhafte Erfassung, variierend in der Erschließungstiefe je nach Quellen bzw. Informationslage unter der Anwendung vorhandener Bildquellen (https://sempub.ub.uni-heidelberg.de/bafo_template/).Das Dataset umfasst:Anwendungsontologie Building and Furnishing Ontology BAFO (OWL)Das Bauwerke-und-ihre-Ausstattung-BAFO-Mustertemplate_im_WissKI-Pathbuilder (XML)' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {application ontology; CIDOC Conceptual Reference Model; data modeling; digital art history; Digital Humanities; Ontologie; Semantisches Datenmodell; WissKI+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Semantische Datenmodellierung für Bauwerke und ihre Ausstattung BAFO (Herder-Institut Marburg)' Description:'Die Semantische Datenmodellierung für Bauwerke und Ausstattungsobjekte war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes 'Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und Erschließung von Kunst und Architektur' (2018-2021).Im Rahmen des Projektes wurden u.a. Anwendungsontologie Building and Furnishing Ontology (BAFO) und das Bauwerke und ihre Ausstattung BAFO Mustertemplate im WissKI-Pathbuilder entwickelt. Sie besteht aus Klassen und Eigenschaften, die für die Erfassung von Bauobjekten und damit verbundenen Ausstattungsstücken im Sinne eines Objektverzeichnisses notwendig sind. Über den folgenden Weblink kann die aktuelle Version (current Version) aufgerufen und unter Berücksichtigung der Lizenz CC-BY-SA 4.0 (Rechteinhaber: Herder-Institut für historische Ostmitteleuropaforschung in Marburg) nachgenutzt werden: http://lod.ub.uni-heidelberg.de/ontologies/bafo/Ergänzungen von Klassen und Eigenschaften durch das Herder-Institut sind möglich. Beachten Sie dazu die Angaben zur Versionshistorie (prior version) in der OWL-Datei. Da in der Anwendungsontologie nur additive Änderungen erfolgen, ist eine Rückwärtskompatibilität garantiert.Unter dem Einsatz Anwendungsontologie BAFO wurde Mustertemplate im WissKI-Pathbuilder respektive Datenmodell entwickelt, welches eine detaillierte wissenschaftliche Erschließung bietet. Das Datenmodell des Muster-Templates kann weiterentwickelt werden, um es besser an weitere Fragestellungen anderer Projekte zur Architektur- und Kunstforschung anzupassen.Datenmodel wurde in eine Instanz von Wissenschaftlichen Kommunikationsinfrastruktur (WissKI) implementiert. Diese Demo-Instanz zeigt eine beispielhafte Erfassung, variierend in der Erschließungstiefe je nach Quellen bzw. Informationslage unter der Anwendung vorhandener Bildquellen (https://sempub.ub.uni-heidelberg.de/bafo_template/).Das Dataset umfasst:Anwendungsontologie Building and Furnishing Ontology BAFO (OWL)Das Bauwerke-und-ihre-Ausstattung-BAFO-Mustertemplate_im_WissKI-Pathbuilder (XML)' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die Semantische Datenmodellierung für Bauwerke und Ausstattungsobjekte war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes 'Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und Erschließung von Kunst und Architektur' (2018-2021).Im Rahmen des Projektes wurden u.a. Anwendungsontologie Building and Furnishing Ontology (BAFO) und das Bauwerke und ihre Ausstattung BAFO Mustertemplate im WissKI-Pathbuilder entwickelt. Sie besteht aus Klassen und Eigenschaften, die für die Erfassung von Bauobjekten und damit verbundenen Ausstattungsstücken im Sinne eines Objektverzeichnisses notwendig sind. Über den folgenden Weblink kann die aktuelle Version (current Version) aufgerufen und unter Berücksichtigung der Lizenz CC-BY-SA 4.0 (Rechteinhaber: Herder-Institut für historische Ostmitteleuropaforschung in Marburg) nachgenutzt werden: http://lod.ub.uni-heidelberg.de/ontologies/bafo/Ergänzungen von Klassen und Eigenschaften durch das Herder-Institut sind möglich. Beachten Sie dazu die Angaben zur Versionshistorie (prior version) in der OWL-Datei. Da in der Anwendungsontologie nur additive Änderungen erfolgen, ist eine Rückwärtskompatibilität garantiert.Unter dem Einsatz Anwendungsontologie BAFO wurde Mustertemplate im WissKI-Pathbuilder respektive Datenmodell entwickelt, welches eine detaillierte wissenschaftliche Erschließung bietet. Das Datenmodell des Muster-Templates kann weiterentwickelt werden, um es besser an weitere Fragestellungen anderer Projekte zur Architektur- und Kunstforschung anzupassen.Datenmodel wurde in eine Instanz von Wissenschaftlichen Kommunikationsinfrastruktur (WissKI) implementiert. Diese Demo-Instanz zeigt eine beispielhafte Erfassung, variierend in der Erschließungstiefe je nach Quellen bzw. Informationslage unter der Anwendung vorhandener Bildquellen (https://sempub.ub.uni-heidelberg.de/bafo_template/).Das Dataset umfasst:Anwendungsontologie Building and Furnishing Ontology BAFO (OWL)Das Bauwerke-und-ihre-Ausstattung-BAFO-Mustertemplate_im_WissKI-Pathbuilder (XML)","Subject":"Arts and Humanities","Keywords":"application ontology; CIDOC Conceptual Reference Model; data modeling; digital art history; Digital Humanities; Ontologie; Semantisches Datenmodell; WissKI"},{"pid":"doi:10.11588/data/JEESIQ","Title":"The MSC Data Set","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The MSC Data Set' Description:'From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see 'Related Publication' below):Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS_E, English). The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frankthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Composition of training and testing used for the classification experiments. The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank.Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank. ' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; machine learning; modality; modal sense classification; semantics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The MSC Data Set' Description:'From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see 'Related Publication' below):Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS_E, English). The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frankthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Composition of training and testing used for the classification experiments. The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank.Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank. ' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see 'Related Publication' below):Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS_E, English). The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frankthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Composition of training and testing used for the classification experiments. The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank.Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank. ","Subject":"Arts and Humanities","Keywords":"annotation; machine learning; modality; modal sense classification; semantics"},{"pid":"doi:10.11588/data/JZFWWW","Title":"Ergänzende Materialien zu: Rituell oder profan? Ein bronzezeitlicher Fundplatz in der bayerischen Donau-Aue","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzende Materialien zu: Rituell oder profan? Ein bronzezeitlicher Fundplatz in der bayerischen Donau-Aue' Description:'Grabungspläne; ergänzende Photographien' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ausgrabung; Pförring- Gaden bei Pförring+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzende Materialien zu: Rituell oder profan? Ein bronzezeitlicher Fundplatz in der bayerischen Donau-Aue' Description:'Grabungspläne; ergänzende Photographien' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Grabungspläne; ergänzende Photographien","Subject":"Arts and Humanities","Keywords":"Ausgrabung; Pförring- Gaden bei Pförring"},{"pid":"doi:10.11588/data/KIWEMF","Title":"DeModify","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'DeModify' Description:'deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-crucial, ungrammatical. Based on these annotations we have created two gold standards: strict (includes instances on which all annotators agree) and relaxed (majority voting). The archive contains a file that proposes a split into 5 folds for the instances that belong to either of the gold standards.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; modifier deletion; text simplification+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'DeModify' Description:'deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-crucial, ungrammatical. Based on these annotations we have created two gold standards: strict (includes instances on which all annotators agree) and relaxed (majority voting). The archive contains a file that proposes a split into 5 folds for the instances that belong to either of the gold standards.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-crucial, ungrammatical. Based on these annotations we have created two gold standards: strict (includes instances on which all annotators agree) and relaxed (majority voting). The archive contains a file that proposes a split into 5 folds for the instances that belong to either of the gold standards.","Subject":"Arts and Humanities","Keywords":"annotation; modifier deletion; text simplification"},{"pid":"doi:10.11588/data/KKTC9G","Title":"Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description:'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Beispieldaten / sample records; Datensatz / data set; Multilingual computing; XML-Schema / XML Schema+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description:'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject:'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.","Subject":"Arts and Humanities","Keywords":"Beispieldaten / sample records; Datensatz / data set; Multilingual computing; XML-Schema / XML Schema"},{"pid":"doi:10.11588/data/KM65N4","Title":"Discursive construction of neighborhood across Brooklyn: A corpus-ethnographic approach - Corpus Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Discursive construction of neighborhood across Brooklyn: A corpus-ethnographic approach - Corpus Data' Description:'This data set consists of several sub-corpora used for the analysis of the discursive construction of 'neighborhood' in Brooklyn, New York. It comprises orthographic transcriptions of 200 spoken interviews (BK_SpokenRA), the written contents of 20 Brooklyn neighborhood organization websites (BK_OrgaWeb), five years of press releases from the Brooklyn Borough president published between January 2014 and March 2019 (BK_BBHPR), and online restaurant reviews from Yelp.com collected between October 2018 and July 2019 (BK_Yelp).' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {American Studies; Brooklyn; corpus-based; ethnography; geography; linguistics; neighborhood; urban space+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Discursive construction of neighborhood across Brooklyn: A corpus-ethnographic approach - Corpus Data' Description:'This data set consists of several sub-corpora used for the analysis of the discursive construction of 'neighborhood' in Brooklyn, New York. It comprises orthographic transcriptions of 200 spoken interviews (BK_SpokenRA), the written contents of 20 Brooklyn neighborhood organization websites (BK_OrgaWeb), five years of press releases from the Brooklyn Borough president published between January 2014 and March 2019 (BK_BBHPR), and online restaurant reviews from Yelp.com collected between October 2018 and July 2019 (BK_Yelp).' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set consists of several sub-corpora used for the analysis of the discursive construction of 'neighborhood' in Brooklyn, New York. It comprises orthographic transcriptions of 200 spoken interviews (BK_SpokenRA), the written contents of 20 Brooklyn neighborhood organization websites (BK_OrgaWeb), five years of press releases from the Brooklyn Borough president published between January 2014 and March 2019 (BK_BBHPR), and online restaurant reviews from Yelp.com collected between October 2018 and July 2019 (BK_Yelp).","Subject":"Arts and Humanities","Keywords":"American Studies; Brooklyn; corpus-based; ethnography; geography; linguistics; neighborhood; urban space"},{"pid":"doi:10.11588/data/KRRSXS","Title":"Lauchheim II.4. Katalog der Gräber 901 –1308 [Supplement]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Lauchheim II.4. Katalog der Gräber 901 –1308 [Supplement]' Description:'Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollständig erhaltene Gräberfeld großflächig ausgegraben. Seit 2009 widmete sich ein multidisziplinäres Forschungsprojekt der Dokumentation und Auswertung der Lauchheimer Gräber und Grabbeigaben. Dabei kamen in großem Maßstab innovative Dokumentationsmethoden mit dem Ziel einer möglichst vollständigen Datenerfassung zum Einsatz. Als Ergebnis dieses Projekts werden die Befunde und Funde aus Lauchheim in einem detaillierten Katalog mit umfangreichem Tafelteil vorgelegt und damit der weiteren wissenschaftlichen Auswertung zugänglich gemacht. Der vorliegende vierte und letzte Teilband des Katalogs umfasst die Gräber 901–1308. Als Datensupplement werden Abbildungen der Perlen aus den Gräbern bereitgestellt. Die Abbildungen liegen als separate tif-Dateien sowie zusammengefasst in einer pdf-Datei vor. Die Dateinamen der einzelnen Bilddateien setzen sich aus der Grabnummer, der Objektnummer und einer Bildnummer zusammen.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Alamannen; Baden-Württemberg; Frühmittelalter; Gräberfeld; Merowingerzeit; Perlen+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Lauchheim II.4. Katalog der Gräber 901 –1308 [Supplement]' Description:'Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollständig erhaltene Gräberfeld großflächig ausgegraben. Seit 2009 widmete sich ein multidisziplinäres Forschungsprojekt der Dokumentation und Auswertung der Lauchheimer Gräber und Grabbeigaben. Dabei kamen in großem Maßstab innovative Dokumentationsmethoden mit dem Ziel einer möglichst vollständigen Datenerfassung zum Einsatz. Als Ergebnis dieses Projekts werden die Befunde und Funde aus Lauchheim in einem detaillierten Katalog mit umfangreichem Tafelteil vorgelegt und damit der weiteren wissenschaftlichen Auswertung zugänglich gemacht. Der vorliegende vierte und letzte Teilband des Katalogs umfasst die Gräber 901–1308. Als Datensupplement werden Abbildungen der Perlen aus den Gräbern bereitgestellt. Die Abbildungen liegen als separate tif-Dateien sowie zusammengefasst in einer pdf-Datei vor. Die Dateinamen der einzelnen Bilddateien setzen sich aus der Grabnummer, der Objektnummer und einer Bildnummer zusammen.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollständig erhaltene Gräberfeld großflächig ausgegraben. Seit 2009 widmete sich ein multidisziplinäres Forschungsprojekt der Dokumentation und Auswertung der Lauchheimer Gräber und Grabbeigaben. Dabei kamen in großem Maßstab innovative Dokumentationsmethoden mit dem Ziel einer möglichst vollständigen Datenerfassung zum Einsatz. Als Ergebnis dieses Projekts werden die Befunde und Funde aus Lauchheim in einem detaillierten Katalog mit umfangreichem Tafelteil vorgelegt und damit der weiteren wissenschaftlichen Auswertung zugänglich gemacht. Der vorliegende vierte und letzte Teilband des Katalogs umfasst die Gräber 901–1308. Als Datensupplement werden Abbildungen der Perlen aus den Gräbern bereitgestellt. Die Abbildungen liegen als separate tif-Dateien sowie zusammengefasst in einer pdf-Datei vor. Die Dateinamen der einzelnen Bilddateien setzen sich aus der Grabnummer, der Objektnummer und einer Bildnummer zusammen.","Subject":"Arts and Humanities","Keywords":"Alamannen; Baden-Württemberg; Frühmittelalter; Gräberfeld; Merowingerzeit; Perlen"},{"pid":"doi:10.11588/data/KXLMHN","Title":"A harmonised testsuite for social media POS tagging (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A harmonised testsuite for social media POS tagging (DE)' Description:'A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information. The original data comes from 3 different sources: a twitter dataset with 21,181 tokens, and two datasets from the Empirist shared task 2015: web data (12,718 tokens) and computer-mediated communication (10,505 tokens).' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {German; German web data; POS tagging; Tweets+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A harmonised testsuite for social media POS tagging (DE)' Description:'A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information. The original data comes from 3 different sources: a twitter dataset with 21,181 tokens, and two datasets from the Empirist shared task 2015: web data (12,718 tokens) and computer-mediated communication (10,505 tokens).' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information. The original data comes from 3 different sources: a twitter dataset with 21,181 tokens, and two datasets from the Empirist shared task 2015: web data (12,718 tokens) and computer-mediated communication (10,505 tokens).","Subject":"Arts and Humanities","Keywords":"German; German web data; POS tagging; Tweets"},{"pid":"doi:10.11588/data/KZHLS8","Title":"OwnReality API-only web application","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'OwnReality API-only web application' Description:'This dataset contains the data platform for the research project 'OwnReality. To Each His Own Reality'.During the course of the project, data was gathered and entered into a database.In general, this platform allows the integration of that data into web basedsystems such as content management systems. To be independent of the targettechnology, the integration is implemented with a set of customized html tagswith no assumptions on lower layers. An API-only web application retrieves thedata from an elasticsearch instance and relays to the widgets.A README in this dataset serves as documentation. It aims to provide information on:the requirements to run the applicationhow to set up the API-applicationimporting the data from the included json documentsimporting the additional image databuilding the javascript integration assethow to integrate the widgets on a third-party pageRequirementslinux (not a requirement but the howto in documentation assumes linux)elasticsearch (2.2.3)ruby (2.2.5)nodejs (4.4.4), only for building' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {API; JavaScript; Ruby+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'OwnReality API-only web application' Description:'This dataset contains the data platform for the research project 'OwnReality. To Each His Own Reality'.During the course of the project, data was gathered and entered into a database.In general, this platform allows the integration of that data into web basedsystems such as content management systems. To be independent of the targettechnology, the integration is implemented with a set of customized html tagswith no assumptions on lower layers. An API-only web application retrieves thedata from an elasticsearch instance and relays to the widgets.A README in this dataset serves as documentation. It aims to provide information on:the requirements to run the applicationhow to set up the API-applicationimporting the data from the included json documentsimporting the additional image databuilding the javascript integration assethow to integrate the widgets on a third-party pageRequirementslinux (not a requirement but the howto in documentation assumes linux)elasticsearch (2.2.3)ruby (2.2.5)nodejs (4.4.4), only for building' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the data platform for the research project 'OwnReality. To Each His Own Reality'.During the course of the project, data was gathered and entered into a database.In general, this platform allows the integration of that data into web basedsystems such as content management systems. To be independent of the targettechnology, the integration is implemented with a set of customized html tagswith no assumptions on lower layers. An API-only web application retrieves thedata from an elasticsearch instance and relays to the widgets.A README in this dataset serves as documentation. It aims to provide information on:the requirements to run the applicationhow to set up the API-applicationimporting the data from the included json documentsimporting the additional image databuilding the javascript integration assethow to integrate the widgets on a third-party pageRequirementslinux (not a requirement but the howto in documentation assumes linux)elasticsearch (2.2.3)ruby (2.2.5)nodejs (4.4.4), only for building","Subject":"Arts and Humanities","Keywords":"API; JavaScript; Ruby"},{"pid":"doi:10.11588/data/L00TJW","Title":"Archäologische und naturwissenschaftliche Untersuchungen zur Landnutzungsgeschichte des Südschwarzwalds [Forschungsdaten]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Archäologische und naturwissenschaftliche Untersuchungen zur Landnutzungsgeschichte des Südschwarzwalds [Forschungsdaten]' Description:'Im Rahmen eines von der Deutschen Forschungsgemeinschaft geförderten interdisziplinären Projekts konnten erstmals Seesedimente aus den Zentren der großen Schwarzwaldseen (Titisee, Schluchsee, Feldsee und Bergsee) archäobotanisch und geochemisch untersucht werden. Parallel dazu wurden archäologische (Begehungen, Grabungen) und archäopedologische Prospektionen im und am Rand des Südschwarzwalds durchgeführt. Die grundsätzliche Frage war, wann, auf welche Art und mit welcher Intensität die Menschen den klassischen ‚Ungunstraum‘ von der Steinzeit bis in die frühe Neuzeit nutzten. Die archäologischen Begehungen erbrachten zahlreiche neue Silexartefakte. Vorgeschichtliche Keramik war sehr selten, ab der Merowingerzeit häufen sich jedoch die Funde. Am Rand des Schwarzwalds konnten zahlreiche neue Fundstellen entdeckt werden, die eine intensivere Nutzung dieses Raums nahelegen. Die Ausgrabung mehrerer sog. Steinhügel belegte, dass diese als Zeugnisse spätmittelalterlicher und neuzeitlicher Landnutzung zu deuten sind. Kolluvien weisen auf die vor allem seit dem Mittelalter intensive Erosion bzw. Bodenüberdeckung hin.Die Online-Daten umfassen die Dokumentation der archäologischen Begehungen.Within the scope of an interdisciplinary project funded by the German Research Foundation (DFG – Deutsche Forschungsgemeinschaft), lake sediments from the centers of the large Black Forest lakes (Titisee, Schluchsee, Feldsee and Bergsee) were analysed archaeobotanically and geochemically for the first time. Complementary archaeological (surveys, excavations) and archaeopedological prospections were carried out in the Southern Black Forest and at its foothills. The fundamental question was when, in which manner and how intensely people used this classic unfavourable area from the Stone Age to Early Modern times.The archaeological surveys yielded many new flint artifacts. Prehistoric pottery was sparse, but from the Merovingian period onwards, the number of finds increases significantly. On the edge of the Black Forest numerous new sites were discovered, which suggest a more intensive use of this region than previously thought. The excavation of several so-called stone mounds proved that these are to be interpreted as evidence of late medieval and modern land use. Colluvia indicate the intense erosion, respectively soil cover, especially since the Middle Ages.The online data contain the documentation of the archaeological prospections.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archäobotanik; Archäologie; Baden-Württemberg; Bodenkunde; Feldbegehung; Frühe Neuzeit; Landnutzung; Mittelalter; Palynologie; Schwarzwald; Vorgeschichte+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Archäologische und naturwissenschaftliche Untersuchungen zur Landnutzungsgeschichte des Südschwarzwalds [Forschungsdaten]' Description:'Im Rahmen eines von der Deutschen Forschungsgemeinschaft geförderten interdisziplinären Projekts konnten erstmals Seesedimente aus den Zentren der großen Schwarzwaldseen (Titisee, Schluchsee, Feldsee und Bergsee) archäobotanisch und geochemisch untersucht werden. Parallel dazu wurden archäologische (Begehungen, Grabungen) und archäopedologische Prospektionen im und am Rand des Südschwarzwalds durchgeführt. Die grundsätzliche Frage war, wann, auf welche Art und mit welcher Intensität die Menschen den klassischen ‚Ungunstraum‘ von der Steinzeit bis in die frühe Neuzeit nutzten. Die archäologischen Begehungen erbrachten zahlreiche neue Silexartefakte. Vorgeschichtliche Keramik war sehr selten, ab der Merowingerzeit häufen sich jedoch die Funde. Am Rand des Schwarzwalds konnten zahlreiche neue Fundstellen entdeckt werden, die eine intensivere Nutzung dieses Raums nahelegen. Die Ausgrabung mehrerer sog. Steinhügel belegte, dass diese als Zeugnisse spätmittelalterlicher und neuzeitlicher Landnutzung zu deuten sind. Kolluvien weisen auf die vor allem seit dem Mittelalter intensive Erosion bzw. Bodenüberdeckung hin.Die Online-Daten umfassen die Dokumentation der archäologischen Begehungen.Within the scope of an interdisciplinary project funded by the German Research Foundation (DFG – Deutsche Forschungsgemeinschaft), lake sediments from the centers of the large Black Forest lakes (Titisee, Schluchsee, Feldsee and Bergsee) were analysed archaeobotanically and geochemically for the first time. Complementary archaeological (surveys, excavations) and archaeopedological prospections were carried out in the Southern Black Forest and at its foothills. The fundamental question was when, in which manner and how intensely people used this classic unfavourable area from the Stone Age to Early Modern times.The archaeological surveys yielded many new flint artifacts. Prehistoric pottery was sparse, but from the Merovingian period onwards, the number of finds increases significantly. On the edge of the Black Forest numerous new sites were discovered, which suggest a more intensive use of this region than previously thought. The excavation of several so-called stone mounds proved that these are to be interpreted as evidence of late medieval and modern land use. Colluvia indicate the intense erosion, respectively soil cover, especially since the Middle Ages.The online data contain the documentation of the archaeological prospections.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Im Rahmen eines von der Deutschen Forschungsgemeinschaft geförderten interdisziplinären Projekts konnten erstmals Seesedimente aus den Zentren der großen Schwarzwaldseen (Titisee, Schluchsee, Feldsee und Bergsee) archäobotanisch und geochemisch untersucht werden. Parallel dazu wurden archäologische (Begehungen, Grabungen) und archäopedologische Prospektionen im und am Rand des Südschwarzwalds durchgeführt. Die grundsätzliche Frage war, wann, auf welche Art und mit welcher Intensität die Menschen den klassischen ‚Ungunstraum‘ von der Steinzeit bis in die frühe Neuzeit nutzten. Die archäologischen Begehungen erbrachten zahlreiche neue Silexartefakte. Vorgeschichtliche Keramik war sehr selten, ab der Merowingerzeit häufen sich jedoch die Funde. Am Rand des Schwarzwalds konnten zahlreiche neue Fundstellen entdeckt werden, die eine intensivere Nutzung dieses Raums nahelegen. Die Ausgrabung mehrerer sog. Steinhügel belegte, dass diese als Zeugnisse spätmittelalterlicher und neuzeitlicher Landnutzung zu deuten sind. Kolluvien weisen auf die vor allem seit dem Mittelalter intensive Erosion bzw. Bodenüberdeckung hin.Die Online-Daten umfassen die Dokumentation der archäologischen Begehungen.Within the scope of an interdisciplinary project funded by the German Research Foundation (DFG – Deutsche Forschungsgemeinschaft), lake sediments from the centers of the large Black Forest lakes (Titisee, Schluchsee, Feldsee and Bergsee) were analysed archaeobotanically and geochemically for the first time. Complementary archaeological (surveys, excavations) and archaeopedological prospections were carried out in the Southern Black Forest and at its foothills. The fundamental question was when, in which manner and how intensely people used this classic unfavourable area from the Stone Age to Early Modern times.The archaeological surveys yielded many new flint artifacts. Prehistoric pottery was sparse, but from the Merovingian period onwards, the number of finds increases significantly. On the edge of the Black Forest numerous new sites were discovered, which suggest a more intensive use of this region than previously thought. The excavation of several so-called stone mounds proved that these are to be interpreted as evidence of late medieval and modern land use. Colluvia indicate the intense erosion, respectively soil cover, especially since the Middle Ages.The online data contain the documentation of the archaeological prospections.","Subject":"Arts and Humanities","Keywords":"Archäobotanik; Archäologie; Baden-Württemberg; Bodenkunde; Feldbegehung; Frühe Neuzeit; Landnutzung; Mittelalter; Palynologie; Schwarzwald; Vorgeschichte"},{"pid":"doi:10.11588/data/L2KRZO","Title":"Ground Truth data for printed Malayalam","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ground Truth data for printed Malayalam' Description:'Ground Truth (GT) data (JPG, PAGE and ALTO XML files) which can be used to train OCR models that recognize printed text in Malayalam script. The training material is gathered from 19th and 20th centuries prints.The GT data was trained in Transkribus with the HTR+ and the PyLaia engine with a resulting CER of 2.29% on validation set with HTR+ and 3,20% with PyLaia. The training was performed on 43 pages with appr. 9,000 words. The validation set consisted of 5 pages (ca. 1,000 words).Transcription was performed by Tübingen University Library, the Ground Truth data was created by Elena Mucciarelli (University of Groningen) with support and model training by Dorothee Huff (Tübingen University Library).' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ground Truth; Malayalam; OCR (Optische Zeichenerkennung); Optical Character Recognition+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ground Truth data for printed Malayalam' Description:'Ground Truth (GT) data (JPG, PAGE and ALTO XML files) which can be used to train OCR models that recognize printed text in Malayalam script. The training material is gathered from 19th and 20th centuries prints.The GT data was trained in Transkribus with the HTR+ and the PyLaia engine with a resulting CER of 2.29% on validation set with HTR+ and 3,20% with PyLaia. The training was performed on 43 pages with appr. 9,000 words. The validation set consisted of 5 pages (ca. 1,000 words).Transcription was performed by Tübingen University Library, the Ground Truth data was created by Elena Mucciarelli (University of Groningen) with support and model training by Dorothee Huff (Tübingen University Library).' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Ground Truth (GT) data (JPG, PAGE and ALTO XML files) which can be used to train OCR models that recognize printed text in Malayalam script. The training material is gathered from 19th and 20th centuries prints.The GT data was trained in Transkribus with the HTR+ and the PyLaia engine with a resulting CER of 2.29% on validation set with HTR+ and 3,20% with PyLaia. The training was performed on 43 pages with appr. 9,000 words. The validation set consisted of 5 pages (ca. 1,000 words).Transcription was performed by Tübingen University Library, the Ground Truth data was created by Elena Mucciarelli (University of Groningen) with support and model training by Dorothee Huff (Tübingen University Library).","Subject":"Arts and Humanities","Keywords":"Ground Truth; Malayalam; OCR (Optische Zeichenerkennung); Optical Character Recognition"},{"pid":"doi:10.11588/data/L7QPUY","Title":"The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset]' Description:'This data set contains eye tracking data collected with an SMI RED 500 eye tracking system. The experimental design, elicitation method, coding, and criteria for excluding/including data are documented in the article: Gerwien, J. (2019) 'The interpretation and prediction of event participants in Mandarin active and passive N-N-V sentences'. The article's abstract is as follows: The role of the markers bèi and bǎ for thematic role assignment in Chinese NP1-marker-NP2-V sentences was investigated in adult native speakers using the visual world paradigm (eye tracking). While word order is identical, thematic roles are distributed reversely in these structures (patient-bèi-agent, (passive); agent-bǎ-patient, (active)). If Mandarin speakers interpret NP1 as the agent of an event, viewing behavior was expected to differ between conditions for NP1-objects, indicating the revision of initial role assignment in the case of bèi. Given reliability differences between markers for role assignment, differences in anticipatory eye movements to NP2-objects were expected. 16 visual stimuli were combined with 16 sets of sentence pairs; one pair partner featuring a bèi-, the other a bǎ-structure. Growth curve analysis of 28 participants’ eye movements revealed no attention differences for NP1-objects. However, anticipatory eye movements to NP2-objects differed. This suggests that a stable event representation is constructed only after NP1 and the marker have been processed, but before NP2. As a control variable, syntactic/semantic complexity of NP1 was manipulated. The differences obtained indicate that the visual world paradigm is in principle sensitive to detect language-induced processing costs, which was taken to validate the null-finding for NP1. Interestingly, NP1 complexity also modulated predictive processing. Findings are discussed with respect to a differentiation between interpretative and predictive aspects incremental processing.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {eye tracking; Mandarin Chinese; online language comprehension; psycholinguistics; thematic role assignment; visual world paradigm+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset]' Description:'This data set contains eye tracking data collected with an SMI RED 500 eye tracking system. The experimental design, elicitation method, coding, and criteria for excluding/including data are documented in the article: Gerwien, J. (2019) 'The interpretation and prediction of event participants in Mandarin active and passive N-N-V sentences'. The article's abstract is as follows: The role of the markers bèi and bǎ for thematic role assignment in Chinese NP1-marker-NP2-V sentences was investigated in adult native speakers using the visual world paradigm (eye tracking). While word order is identical, thematic roles are distributed reversely in these structures (patient-bèi-agent, (passive); agent-bǎ-patient, (active)). If Mandarin speakers interpret NP1 as the agent of an event, viewing behavior was expected to differ between conditions for NP1-objects, indicating the revision of initial role assignment in the case of bèi. Given reliability differences between markers for role assignment, differences in anticipatory eye movements to NP2-objects were expected. 16 visual stimuli were combined with 16 sets of sentence pairs; one pair partner featuring a bèi-, the other a bǎ-structure. Growth curve analysis of 28 participants’ eye movements revealed no attention differences for NP1-objects. However, anticipatory eye movements to NP2-objects differed. This suggests that a stable event representation is constructed only after NP1 and the marker have been processed, but before NP2. As a control variable, syntactic/semantic complexity of NP1 was manipulated. The differences obtained indicate that the visual world paradigm is in principle sensitive to detect language-induced processing costs, which was taken to validate the null-finding for NP1. Interestingly, NP1 complexity also modulated predictive processing. Findings are discussed with respect to a differentiation between interpretative and predictive aspects incremental processing.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains eye tracking data collected with an SMI RED 500 eye tracking system. The experimental design, elicitation method, coding, and criteria for excluding/including data are documented in the article: Gerwien, J. (2019) 'The interpretation and prediction of event participants in Mandarin active and passive N-N-V sentences'. The article's abstract is as follows: The role of the markers bèi and bǎ for thematic role assignment in Chinese NP1-marker-NP2-V sentences was investigated in adult native speakers using the visual world paradigm (eye tracking). While word order is identical, thematic roles are distributed reversely in these structures (patient-bèi-agent, (passive); agent-bǎ-patient, (active)). If Mandarin speakers interpret NP1 as the agent of an event, viewing behavior was expected to differ between conditions for NP1-objects, indicating the revision of initial role assignment in the case of bèi. Given reliability differences between markers for role assignment, differences in anticipatory eye movements to NP2-objects were expected. 16 visual stimuli were combined with 16 sets of sentence pairs; one pair partner featuring a bèi-, the other a bǎ-structure. Growth curve analysis of 28 participants’ eye movements revealed no attention differences for NP1-objects. However, anticipatory eye movements to NP2-objects differed. This suggests that a stable event representation is constructed only after NP1 and the marker have been processed, but before NP2. As a control variable, syntactic/semantic complexity of NP1 was manipulated. The differences obtained indicate that the visual world paradigm is in principle sensitive to detect language-induced processing costs, which was taken to validate the null-finding for NP1. Interestingly, NP1 complexity also modulated predictive processing. Findings are discussed with respect to a differentiation between interpretative and predictive aspects incremental processing.","Subject":"Arts and Humanities","Keywords":"eye tracking; Mandarin Chinese; online language comprehension; psycholinguistics; thematic role assignment; visual world paradigm"},{"pid":"doi:10.11588/data/LAJUUK","Title":"Artworks of non-European artists","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Artworks of non-European artists' Description:'Thematic Research Collection of 1343 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) by non-European artists.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Artworks of non-European artists' Description:'Thematic Research Collection of 1343 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) by non-European artists.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Thematic Research Collection of 1343 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) by non-European artists.","Subject":"Arts and Humanities","Keywords":"Aphrodite; Venus"},{"pid":"doi:10.11588/data/LAJUUK","Title":"Artworks of non-European artists","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Artworks of non-European artists' Description:'Thematic Research Collection of 1343 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) by non-European artists.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Artworks of non-European artists' Description:'Thematic Research Collection of 1343 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) by non-European artists.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Thematic Research Collection of 1343 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) by non-European artists.","Subject":"Arts and Humanities","Keywords":"Aphrodite; Venus"},{"pid":"doi:10.11588/data/LB6J0J","Title":"Ergänzungsmaterial zu: Diachronic Perspectives on Upper Palaeolithic Landscape Accessibility / Jungpaläolithische Landschafts-Akzessibilität im diachronen Vergleich","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Diachronic Perspectives on Upper Palaeolithic Landscape Accessibility / Jungpaläolithische Landschafts-Akzessibilität im diachronen Vergleich' Description:'Hunter-gatherer communities are highly dependent on the accessibility of their surrounding landscapes. Relief, as well as the predominant vegetation strongly influence walking speed and thus the size of foraging ranges around camp sites: the catchments. Throughout the Upper Palaeolithic, landscapes are shaped by various climatic developments, requiring adaptations of subsistence strategies. A diachronic and supra-regional comparison of catchment sizes promises to shed light on such adaptive processes. This study seeks to model Upper Palaeolithic site catchments in consideration of different landcovers, depending on changing climatic conditions in Western and Central Europe. Such large-scale comparisons of catchment sizes have not yet been the topic of extensive research. As we are now able to show, changes in vegetation density led to a greater restriction of catchment sizes. This is partially compensated by the preferred settlement of level regions. The climatic shift between the Last Glacial Maximum and the Late Glacial is known to have various effects on demography, tool technology and the mobility patterns of hunter-gatherer societies. This picture can now be complemented by one additional aspect: the adaptation of mobility as a response to changing landscape accessibility and its impact on land-use.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Catchment modelling; diachronic comparison; GIS; Land-use; mobility-pattern+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Diachronic Perspectives on Upper Palaeolithic Landscape Accessibility / Jungpaläolithische Landschafts-Akzessibilität im diachronen Vergleich' Description:'Hunter-gatherer communities are highly dependent on the accessibility of their surrounding landscapes. Relief, as well as the predominant vegetation strongly influence walking speed and thus the size of foraging ranges around camp sites: the catchments. Throughout the Upper Palaeolithic, landscapes are shaped by various climatic developments, requiring adaptations of subsistence strategies. A diachronic and supra-regional comparison of catchment sizes promises to shed light on such adaptive processes. This study seeks to model Upper Palaeolithic site catchments in consideration of different landcovers, depending on changing climatic conditions in Western and Central Europe. Such large-scale comparisons of catchment sizes have not yet been the topic of extensive research. As we are now able to show, changes in vegetation density led to a greater restriction of catchment sizes. This is partially compensated by the preferred settlement of level regions. The climatic shift between the Last Glacial Maximum and the Late Glacial is known to have various effects on demography, tool technology and the mobility patterns of hunter-gatherer societies. This picture can now be complemented by one additional aspect: the adaptation of mobility as a response to changing landscape accessibility and its impact on land-use.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Hunter-gatherer communities are highly dependent on the accessibility of their surrounding landscapes. Relief, as well as the predominant vegetation strongly influence walking speed and thus the size of foraging ranges around camp sites: the catchments. Throughout the Upper Palaeolithic, landscapes are shaped by various climatic developments, requiring adaptations of subsistence strategies. A diachronic and supra-regional comparison of catchment sizes promises to shed light on such adaptive processes. This study seeks to model Upper Palaeolithic site catchments in consideration of different landcovers, depending on changing climatic conditions in Western and Central Europe. Such large-scale comparisons of catchment sizes have not yet been the topic of extensive research. As we are now able to show, changes in vegetation density led to a greater restriction of catchment sizes. This is partially compensated by the preferred settlement of level regions. The climatic shift between the Last Glacial Maximum and the Late Glacial is known to have various effects on demography, tool technology and the mobility patterns of hunter-gatherer societies. This picture can now be complemented by one additional aspect: the adaptation of mobility as a response to changing landscape accessibility and its impact on land-use.","Subject":"Arts and Humanities","Keywords":"Catchment modelling; diachronic comparison; GIS; Land-use; mobility-pattern"},{"pid":"doi:10.11588/data/LDOGXV","Title":"Ergänzungsmaterial zu: Settlement patterns of the Middle Palaeolithic in Southern Germany. A GIS-supported predictive model for sites in Bavaria and Baden-Wurttemberg / Das Siedlungsmuster des Mittelpaläolithikums in Süddeutschland. Eine GIS-gestützte Archäoprognose für Fundstellen in Bayern und Baden-Württemberg","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Settlement patterns of the Middle Palaeolithic in Southern Germany. A GIS-supported predictive model for sites in Bavaria and Baden-Wurttemberg / Das Siedlungsmuster des Mittelpaläolithikums in Süddeutschland. Eine GIS-gestützte Archäoprognose für Fundstellen in Bayern und Baden-Württemberg' Description:'As a largely glacier-free zone throughout the entire Middle Palaeolithic, Southern Germany has often been discussed as a key area for Neanderthal migration. In this study, the settlement patterns of the Southern German Middle Palaeolithic were investigated via Weighted Layer Analysis, resulting in key insights about the prognostic qualities of topographic variables like elevation, slope, aspect, distance to river and outgoing visibility, as well as two predictive maps for cave and open-air sites. Comparing the high probability zones for both site types, their possible interplay in Southern Germany and the special role of the infrastructure of the Franconian Swabian Jura for Neanderthal migration in Europe are discussed.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Franconian-Swabian Jura; Middle Palaeolithic; predictive modelling; settlement patterns; Southern Germany; Weighted layer analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Settlement patterns of the Middle Palaeolithic in Southern Germany. A GIS-supported predictive model for sites in Bavaria and Baden-Wurttemberg / Das Siedlungsmuster des Mittelpaläolithikums in Süddeutschland. Eine GIS-gestützte Archäoprognose für Fundstellen in Bayern und Baden-Württemberg' Description:'As a largely glacier-free zone throughout the entire Middle Palaeolithic, Southern Germany has often been discussed as a key area for Neanderthal migration. In this study, the settlement patterns of the Southern German Middle Palaeolithic were investigated via Weighted Layer Analysis, resulting in key insights about the prognostic qualities of topographic variables like elevation, slope, aspect, distance to river and outgoing visibility, as well as two predictive maps for cave and open-air sites. Comparing the high probability zones for both site types, their possible interplay in Southern Germany and the special role of the infrastructure of the Franconian Swabian Jura for Neanderthal migration in Europe are discussed.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As a largely glacier-free zone throughout the entire Middle Palaeolithic, Southern Germany has often been discussed as a key area for Neanderthal migration. In this study, the settlement patterns of the Southern German Middle Palaeolithic were investigated via Weighted Layer Analysis, resulting in key insights about the prognostic qualities of topographic variables like elevation, slope, aspect, distance to river and outgoing visibility, as well as two predictive maps for cave and open-air sites. Comparing the high probability zones for both site types, their possible interplay in Southern Germany and the special role of the infrastructure of the Franconian Swabian Jura for Neanderthal migration in Europe are discussed.","Subject":"Arts and Humanities","Keywords":"Franconian-Swabian Jura; Middle Palaeolithic; predictive modelling; settlement patterns; Southern Germany; Weighted layer analysis"},{"pid":"doi:10.11588/data/LSTRK3","Title":"Sentiment Compound Data (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sentiment Compound Data (DE)' Description:'This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {German; opinion compounds; opinionrole extraction; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sentiment Compound Data (DE)' Description:'This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.","Subject":"Arts and Humanities","Keywords":"German; opinion compounds; opinionrole extraction; sentiment"},{"pid":"doi:10.11588/data/MHGXU6","Title":"Gammertingen, St. Michael. Auswertung der archäologischen Ausgrabungen insbesondere unter herrschafts-, siedlungs- und landesgeschichtlicher Fragestellung [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Gammertingen, St. Michael. Auswertung der archäologischen Ausgrabungen insbesondere unter herrschafts-, siedlungs- und landesgeschichtlicher Fragestellung [Dataset]' Description:'Die Datensammlung umfasst die Befund- und Funddatenbank zu der monographisch veröffentlichten archäologischen Auswertung der Ausgrabung in der St. Michaelskapelle in Gammertingen. Sie besteht aus einer Access-Datenbank mit 25 relational verknüpften Tabellen, eine in Stratify erstellte Harris-Matrix-Datenbank, welche das der Publikation zugrundeliegende Befundsystem stratigrafisch darstellt, SPSS-Outputs diverser Faktorenanalysen über Fundvergesellschaftungen in den einzelnen archäologischen Phasen und schließlich einen pdf-Export aus der FurnArch-Datenbank von Harald Rosmanitz mit den von ihm aufgenommenen Gammertinger Ofenkacheln.Die Erläuterung zu den bereitgestellten Daten sind in der ausführlichen Dokumentation Gammertingen Dokumentation Open Data.docx niedergelegt.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {archaeology; archaeozoology; Baden-Wuerttemberg; castle; early modern times; Gammertingen; graves; historic architecture; middle ages; motte; nobility; osteology; physical anthropology; Swabian Alb+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Gammertingen, St. Michael. Auswertung der archäologischen Ausgrabungen insbesondere unter herrschafts-, siedlungs- und landesgeschichtlicher Fragestellung [Dataset]' Description:'Die Datensammlung umfasst die Befund- und Funddatenbank zu der monographisch veröffentlichten archäologischen Auswertung der Ausgrabung in der St. Michaelskapelle in Gammertingen. Sie besteht aus einer Access-Datenbank mit 25 relational verknüpften Tabellen, eine in Stratify erstellte Harris-Matrix-Datenbank, welche das der Publikation zugrundeliegende Befundsystem stratigrafisch darstellt, SPSS-Outputs diverser Faktorenanalysen über Fundvergesellschaftungen in den einzelnen archäologischen Phasen und schließlich einen pdf-Export aus der FurnArch-Datenbank von Harald Rosmanitz mit den von ihm aufgenommenen Gammertinger Ofenkacheln.Die Erläuterung zu den bereitgestellten Daten sind in der ausführlichen Dokumentation Gammertingen Dokumentation Open Data.docx niedergelegt.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die Datensammlung umfasst die Befund- und Funddatenbank zu der monographisch veröffentlichten archäologischen Auswertung der Ausgrabung in der St. Michaelskapelle in Gammertingen. Sie besteht aus einer Access-Datenbank mit 25 relational verknüpften Tabellen, eine in Stratify erstellte Harris-Matrix-Datenbank, welche das der Publikation zugrundeliegende Befundsystem stratigrafisch darstellt, SPSS-Outputs diverser Faktorenanalysen über Fundvergesellschaftungen in den einzelnen archäologischen Phasen und schließlich einen pdf-Export aus der FurnArch-Datenbank von Harald Rosmanitz mit den von ihm aufgenommenen Gammertinger Ofenkacheln.Die Erläuterung zu den bereitgestellten Daten sind in der ausführlichen Dokumentation Gammertingen Dokumentation Open Data.docx niedergelegt.","Subject":"Arts and Humanities","Keywords":"archaeology; archaeozoology; Baden-Wuerttemberg; castle; early modern times; Gammertingen; graves; historic architecture; middle ages; motte; nobility; osteology; physical anthropology; Swabian Alb"},{"pid":"doi:10.11588/data/MKPEYV","Title":"Lexicon of Abusive Words (EN)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Lexicon of Abusive Words (EN)' Description:'This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lexicon; negative polar expressions; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Lexicon of Abusive Words (EN)' Description:'This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.","Subject":"Arts and Humanities","Keywords":"lexicon; negative polar expressions; sentiment"},{"pid":"doi:10.11588/data/N1ETCN","Title":"Appendix to: The procurement of Rhum bloodstone and the Rhum bloodstone exchange network – a social territory in the Scottish Inner Hebrides?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Appendix to: The procurement of Rhum bloodstone and the Rhum bloodstone exchange network – a social territory in the Scottish Inner Hebrides?' Description:'Der Zweck des vorliegenden Aufsatz ist die Diskussion von “Rhum bloodstone” und die Verbreitung archäologischer Artefakte aus ‘bloodstone’ auf den Schottischen Hebriden. Dabei richtet sich der Fokus besonders auf erkannte Verteilungsmuster, die Beschaffung und den Austausch von ‘bloodstone’ und das durch die Verbreitung von ‘bloodstone’ festgelegte Sozialterritorium.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archäologie; Beschaffung von Steinrohmaterial; Rhum bloodstone; Schottland; Sozialterritorien; Tauschnetzwerke; Terminologie von Steinrohmateria+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Appendix to: The procurement of Rhum bloodstone and the Rhum bloodstone exchange network – a social territory in the Scottish Inner Hebrides?' Description:'Der Zweck des vorliegenden Aufsatz ist die Diskussion von “Rhum bloodstone” und die Verbreitung archäologischer Artefakte aus ‘bloodstone’ auf den Schottischen Hebriden. Dabei richtet sich der Fokus besonders auf erkannte Verteilungsmuster, die Beschaffung und den Austausch von ‘bloodstone’ und das durch die Verbreitung von ‘bloodstone’ festgelegte Sozialterritorium.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Der Zweck des vorliegenden Aufsatz ist die Diskussion von “Rhum bloodstone” und die Verbreitung archäologischer Artefakte aus ‘bloodstone’ auf den Schottischen Hebriden. Dabei richtet sich der Fokus besonders auf erkannte Verteilungsmuster, die Beschaffung und den Austausch von ‘bloodstone’ und das durch die Verbreitung von ‘bloodstone’ festgelegte Sozialterritorium.","Subject":"Arts and Humanities","Keywords":"Archäologie; Beschaffung von Steinrohmaterial; Rhum bloodstone; Schottland; Sozialterritorien; Tauschnetzwerke; Terminologie von Steinrohmateria"},{"pid":"doi:10.11588/data/N64ZX4","Title":"The French Venus (Catalogue Vol. 2.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The French Venus (Catalogue Vol. 2.1)' Description:'The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The French Venus (Catalogue Vol. 2.1)' Description:'The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/N64ZX4","Title":"The French Venus (Catalogue Vol. 2.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The French Venus (Catalogue Vol. 2.1)' Description:'The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The French Venus (Catalogue Vol. 2.1)' Description:'The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/NRHERZ","Title":"Lauchheim II.3. Katalog der Gräber 601–900 [Supplement]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Lauchheim II.3. Katalog der Gräber 601–900 [Supplement]' Description:'Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollständig erhaltene Gräberfeld großflächig ausgegraben. Seit 2009 widmete sich ein multidisziplinäres Forschungsprojekt der Dokumentation und Auswertung der Lauchheimer Gräber und Grabbeigaben. Dabei kamen in großem Maßstab innovative Dokumentationsmethoden mit dem Ziel einer möglichst vollständigen Datenerfassung zum Einsatz. Als Ergebnis dieses Projekts werden die Befunde und Funde aus Lauchheim in einem detaillierten Katalog mit umfangreichem Tafelteil vorgelegt und damit der weiteren wissenschaftlichen Auswertung zugänglich gemacht. Der vorliegende dritte von insgesamt vier Teilbänden des Katalogs umfasst die Gräber 601-900. Als Datensupplement werden Abbildungen der Perlen aus den Gräbern bereitgestellt. ie Abbildungen liegen als separate tif-Dateien sowie zusammengefasst in einer pdf-Datei vor. Die Dateinamen der einzelnen Bilddateien setzen sich aus der Grabnummer, der Objeknummer und einer Bildnummer zusammen.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Alamannen; Baden-Württemberg; Frühmittelalter; Gräberfeld; Merowingerzeit; Perlen+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Lauchheim II.3. Katalog der Gräber 601–900 [Supplement]' Description:'Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollständig erhaltene Gräberfeld großflächig ausgegraben. Seit 2009 widmete sich ein multidisziplinäres Forschungsprojekt der Dokumentation und Auswertung der Lauchheimer Gräber und Grabbeigaben. Dabei kamen in großem Maßstab innovative Dokumentationsmethoden mit dem Ziel einer möglichst vollständigen Datenerfassung zum Einsatz. Als Ergebnis dieses Projekts werden die Befunde und Funde aus Lauchheim in einem detaillierten Katalog mit umfangreichem Tafelteil vorgelegt und damit der weiteren wissenschaftlichen Auswertung zugänglich gemacht. Der vorliegende dritte von insgesamt vier Teilbänden des Katalogs umfasst die Gräber 601-900. Als Datensupplement werden Abbildungen der Perlen aus den Gräbern bereitgestellt. ie Abbildungen liegen als separate tif-Dateien sowie zusammengefasst in einer pdf-Datei vor. Die Dateinamen der einzelnen Bilddateien setzen sich aus der Grabnummer, der Objeknummer und einer Bildnummer zusammen.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollständig erhaltene Gräberfeld großflächig ausgegraben. Seit 2009 widmete sich ein multidisziplinäres Forschungsprojekt der Dokumentation und Auswertung der Lauchheimer Gräber und Grabbeigaben. Dabei kamen in großem Maßstab innovative Dokumentationsmethoden mit dem Ziel einer möglichst vollständigen Datenerfassung zum Einsatz. Als Ergebnis dieses Projekts werden die Befunde und Funde aus Lauchheim in einem detaillierten Katalog mit umfangreichem Tafelteil vorgelegt und damit der weiteren wissenschaftlichen Auswertung zugänglich gemacht. Der vorliegende dritte von insgesamt vier Teilbänden des Katalogs umfasst die Gräber 601-900. Als Datensupplement werden Abbildungen der Perlen aus den Gräbern bereitgestellt. ie Abbildungen liegen als separate tif-Dateien sowie zusammengefasst in einer pdf-Datei vor. Die Dateinamen der einzelnen Bilddateien setzen sich aus der Grabnummer, der Objeknummer und einer Bildnummer zusammen.","Subject":"Arts and Humanities","Keywords":"Alamannen; Baden-Württemberg; Frühmittelalter; Gräberfeld; Merowingerzeit; Perlen"},{"pid":"doi:10.11588/data/OAGGYE","Title":"Ergänzungsmaterial zu: Blades, bladelets or blade(let)s? Investigating early Upper Palaeolithic technology and taxonomical considerations / Klingen, Lamellen oder beides? Untersuchungen zur früh-jungpaläolithischen Technologie und taxonomische Überlegungen","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Blades, bladelets or blade(let)s? Investigating early Upper Palaeolithic technology and taxonomical considerations / Klingen, Lamellen oder beides? Untersuchungen zur früh-jungpaläolithischen Technologie und taxonomische Überlegungen' Description:'The early Upper Palaeolithic marks a technological turning point in Western Eurasia, evidenced by the increased spread of bladelet production. The two main technocomplexes, the Aurignacian and the Ahmarian, have long histories of research and have always formed part of the debate on the Homo sapiens dispersal into Europe, with changing interpretations. A large aspect of the debate surrounding the recognition of different technocomplexes revolves around the question of whether or not bladelet production is independent of blade production. Here we present a first-hand analysis of three early Upper Palaeolithic assemblages in Europe and the Levant, conventionally attributed to different technocomplexes: Al-Ansab 1, Românești-Dumbrăvița I GH3, Grotta di Fumane A1-A2. Results show that the lithic technologies at the three sites display almost identical knapping concepts, geared around bladelet production. These results and other recent reassessments support a revision of the early Upper Palaeolithic technological and taxonomical models.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ahmarian; Aurignacian; dispersal; Europe; Homo sapiens; Levant; lithic artefact+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Blades, bladelets or blade(let)s? Investigating early Upper Palaeolithic technology and taxonomical considerations / Klingen, Lamellen oder beides? Untersuchungen zur früh-jungpaläolithischen Technologie und taxonomische Überlegungen' Description:'The early Upper Palaeolithic marks a technological turning point in Western Eurasia, evidenced by the increased spread of bladelet production. The two main technocomplexes, the Aurignacian and the Ahmarian, have long histories of research and have always formed part of the debate on the Homo sapiens dispersal into Europe, with changing interpretations. A large aspect of the debate surrounding the recognition of different technocomplexes revolves around the question of whether or not bladelet production is independent of blade production. Here we present a first-hand analysis of three early Upper Palaeolithic assemblages in Europe and the Levant, conventionally attributed to different technocomplexes: Al-Ansab 1, Românești-Dumbrăvița I GH3, Grotta di Fumane A1-A2. Results show that the lithic technologies at the three sites display almost identical knapping concepts, geared around bladelet production. These results and other recent reassessments support a revision of the early Upper Palaeolithic technological and taxonomical models.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The early Upper Palaeolithic marks a technological turning point in Western Eurasia, evidenced by the increased spread of bladelet production. The two main technocomplexes, the Aurignacian and the Ahmarian, have long histories of research and have always formed part of the debate on the Homo sapiens dispersal into Europe, with changing interpretations. A large aspect of the debate surrounding the recognition of different technocomplexes revolves around the question of whether or not bladelet production is independent of blade production. Here we present a first-hand analysis of three early Upper Palaeolithic assemblages in Europe and the Levant, conventionally attributed to different technocomplexes: Al-Ansab 1, Românești-Dumbrăvița I GH3, Grotta di Fumane A1-A2. Results show that the lithic technologies at the three sites display almost identical knapping concepts, geared around bladelet production. These results and other recent reassessments support a revision of the early Upper Palaeolithic technological and taxonomical models.","Subject":"Arts and Humanities","Keywords":"Ahmarian; Aurignacian; dispersal; Europe; Homo sapiens; Levant; lithic artefact"},{"pid":"doi:10.11588/data/PSHEQP","Title":"Ergänzungsdaten zu: Felsbilder Ägyptens. Zeichen einer sozialisierten Landschaft","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsdaten zu: Felsbilder Ägyptens. Zeichen einer sozialisierten Landschaft' Description:'Felsbilder Ägyptens weisen eine Problematik bezüglich ihrer sicheren Datierung und ihrer kulturellen Kontextualisierung auf. Daher wird in dieser Arbeit ein Interpretationszugang gewählt, der sich auf eine räumliche Analyse stützt und die Verwendung der Felsbilder als Zeichen in einem Kommunikationsprozess betrachtet. Als Fallbeispiele wurden Felsbilder der Zentralen Ostwüste und des Wadi Berber in Assuan, gewählt. Die räumliche Analyse umfasst die kontextuelle Einbettung in die rekonstruierte naturräumliche Landschaft und der konkreten sozio-ökonomisch genutzten Plätze. Der semiotische Zugang untersucht die Felsbilder als Zeichen innerhalb eines Systems graphischer Informationsverarbeitung, um sich so der Funktionsweise der Bilder anzunähern.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ägypten ; Felsbild; Geoinformationssystem; Landschaftsarchäologie; Semiotik+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsdaten zu: Felsbilder Ägyptens. Zeichen einer sozialisierten Landschaft' Description:'Felsbilder Ägyptens weisen eine Problematik bezüglich ihrer sicheren Datierung und ihrer kulturellen Kontextualisierung auf. Daher wird in dieser Arbeit ein Interpretationszugang gewählt, der sich auf eine räumliche Analyse stützt und die Verwendung der Felsbilder als Zeichen in einem Kommunikationsprozess betrachtet. Als Fallbeispiele wurden Felsbilder der Zentralen Ostwüste und des Wadi Berber in Assuan, gewählt. Die räumliche Analyse umfasst die kontextuelle Einbettung in die rekonstruierte naturräumliche Landschaft und der konkreten sozio-ökonomisch genutzten Plätze. Der semiotische Zugang untersucht die Felsbilder als Zeichen innerhalb eines Systems graphischer Informationsverarbeitung, um sich so der Funktionsweise der Bilder anzunähern.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Felsbilder Ägyptens weisen eine Problematik bezüglich ihrer sicheren Datierung und ihrer kulturellen Kontextualisierung auf. Daher wird in dieser Arbeit ein Interpretationszugang gewählt, der sich auf eine räumliche Analyse stützt und die Verwendung der Felsbilder als Zeichen in einem Kommunikationsprozess betrachtet. Als Fallbeispiele wurden Felsbilder der Zentralen Ostwüste und des Wadi Berber in Assuan, gewählt. Die räumliche Analyse umfasst die kontextuelle Einbettung in die rekonstruierte naturräumliche Landschaft und der konkreten sozio-ökonomisch genutzten Plätze. Der semiotische Zugang untersucht die Felsbilder als Zeichen innerhalb eines Systems graphischer Informationsverarbeitung, um sich so der Funktionsweise der Bilder anzunähern.","Subject":"Arts and Humanities","Keywords":"Ägypten ; Felsbild; Geoinformationssystem; Landschaftsarchäologie; Semiotik"},{"pid":"doi:10.11588/data/PSMYRY","Title":"Aufweichen, abbremsen, abschirmen – Wirtschaftsmetaphern zwischen politischer Abgrenzung und diskursiven Allgemeinplätzen [Forschungsdaten]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Aufweichen, abbremsen, abschirmen – Wirtschaftsmetaphern zwischen politischer Abgrenzung und diskursiven Allgemeinplätzen [Forschungsdaten]' Description:'Our study examines the use of metaphors in the German discourse regarding European monetary and fiscal policy. Though this policy area sparked considerable interest among linguists, so far there is a lacuna concerning interdisciplinary comparative studies that examine metaphorical expressions in regard to their divergent political use. This study addresses this desideratum by posing two explorative research questions: Which metaphors shape the political debate on European monetary and fiscal policy? And is there a relationship between the divergent use of metaphors and the political perspective they entail?As a means to examine these questions, we develop an innovative methodological triangulation that combines qualitative, hermeneutic metaphorical analyses with quantitative, data-driven approaches of corpus linguistics. By analyzing the communication of eleven political actors during three formative debates on Eurozone policy, we isolate the most salient metaphors and compare their political usage.Our results bring forth four types of metaphorical expression. These can be distinguished by their relative openness in concern to political perspective and their respective referent. Thereby, this study firstly provides an important guide to understanding the debate at hand; secondly, it sharpens the theoretical grasp in concern to the comprehension of political metaphors as a whole; and thirdly, we contribute a notable stake to the methodical study of metaphorical expressions in the field of applied linguistics.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {corpus linguistics; discourse analysis; European debt crisis; metaphorical expressions; political communication; political linguistics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Aufweichen, abbremsen, abschirmen – Wirtschaftsmetaphern zwischen politischer Abgrenzung und diskursiven Allgemeinplätzen [Forschungsdaten]' Description:'Our study examines the use of metaphors in the German discourse regarding European monetary and fiscal policy. Though this policy area sparked considerable interest among linguists, so far there is a lacuna concerning interdisciplinary comparative studies that examine metaphorical expressions in regard to their divergent political use. This study addresses this desideratum by posing two explorative research questions: Which metaphors shape the political debate on European monetary and fiscal policy? And is there a relationship between the divergent use of metaphors and the political perspective they entail?As a means to examine these questions, we develop an innovative methodological triangulation that combines qualitative, hermeneutic metaphorical analyses with quantitative, data-driven approaches of corpus linguistics. By analyzing the communication of eleven political actors during three formative debates on Eurozone policy, we isolate the most salient metaphors and compare their political usage.Our results bring forth four types of metaphorical expression. These can be distinguished by their relative openness in concern to political perspective and their respective referent. Thereby, this study firstly provides an important guide to understanding the debate at hand; secondly, it sharpens the theoretical grasp in concern to the comprehension of political metaphors as a whole; and thirdly, we contribute a notable stake to the methodical study of metaphorical expressions in the field of applied linguistics.' Subject:'Arts and Humanities; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Our study examines the use of metaphors in the German discourse regarding European monetary and fiscal policy. Though this policy area sparked considerable interest among linguists, so far there is a lacuna concerning interdisciplinary comparative studies that examine metaphorical expressions in regard to their divergent political use. This study addresses this desideratum by posing two explorative research questions: Which metaphors shape the political debate on European monetary and fiscal policy? And is there a relationship between the divergent use of metaphors and the political perspective they entail?As a means to examine these questions, we develop an innovative methodological triangulation that combines qualitative, hermeneutic metaphorical analyses with quantitative, data-driven approaches of corpus linguistics. By analyzing the communication of eleven political actors during three formative debates on Eurozone policy, we isolate the most salient metaphors and compare their political usage.Our results bring forth four types of metaphorical expression. These can be distinguished by their relative openness in concern to political perspective and their respective referent. Thereby, this study firstly provides an important guide to understanding the debate at hand; secondly, it sharpens the theoretical grasp in concern to the comprehension of political metaphors as a whole; and thirdly, we contribute a notable stake to the methodical study of metaphorical expressions in the field of applied linguistics.","Subject":"Arts and Humanities","Keywords":"corpus linguistics; discourse analysis; European debt crisis; metaphorical expressions; political communication; political linguistics"},{"pid":"doi:10.11588/data/QKF4LT","Title":"Affixoid Dataset (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Affixoid Dataset (DE)' Description:'The dataset contains the manual annotations for the COLING 2018 submission 'Distinguishing affixoid formations from compounds' by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert.1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -gott) were annotated manually as to whether the complex forms represent regular compounds or affixoid formations. The main experiments in the paper use automatically extracted features of the complex forms in trying to correctly make this distinction.Additionally, the words were labeled for five properties related to any intensifying and evaluative meaning potentially associated with the whole word and its components. These manual feature annotations were used to establish the upper-bound performance of a classifier trained to distinguish affixoid formations from regular compounds.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {affixoid; compound; entiment analysis; German; morphology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Affixoid Dataset (DE)' Description:'The dataset contains the manual annotations for the COLING 2018 submission 'Distinguishing affixoid formations from compounds' by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert.1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -gott) were annotated manually as to whether the complex forms represent regular compounds or affixoid formations. The main experiments in the paper use automatically extracted features of the complex forms in trying to correctly make this distinction.Additionally, the words were labeled for five properties related to any intensifying and evaluative meaning potentially associated with the whole word and its components. These manual feature annotations were used to establish the upper-bound performance of a classifier trained to distinguish affixoid formations from regular compounds.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset contains the manual annotations for the COLING 2018 submission 'Distinguishing affixoid formations from compounds' by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert.1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -gott) were annotated manually as to whether the complex forms represent regular compounds or affixoid formations. The main experiments in the paper use automatically extracted features of the complex forms in trying to correctly make this distinction.Additionally, the words were labeled for five properties related to any intensifying and evaluative meaning potentially associated with the whole word and its components. These manual feature annotations were used to establish the upper-bound performance of a classifier trained to distinguish affixoid formations from regular compounds.","Subject":"Arts and Humanities","Keywords":"affixoid; compound; entiment analysis; German; morphology"},{"pid":"doi:10.11588/data/QLLMOA","Title":"Archäoinformatik und Perspektiven des Digital Cultural Heritage: Besiedlungsmuster frühgeschichtlicher Kulturen des ersten Jahrtausends AD in Zentraleuropa – Studien zur Transformation peripherer Regionen der Germania superior und des Barbaricums zum Ende des Römischen Reichs","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Archäoinformatik und Perspektiven des Digital Cultural Heritage: Besiedlungsmuster frühgeschichtlicher Kulturen des ersten Jahrtausends AD in Zentraleuropa – Studien zur Transformation peripherer Regionen der Germania superior und des Barbaricums zum Ende des Römischen Reichs' Description:'Die hier vorliegenden regionalen archäologischen Fundstellenkataloge wurden im Rahmen der Habilitationsschrift „Archäoinformatik und Perspektiven des Digital Cultural Heritage ...“ erhoben und in einem Archäologischen Informationssystem (AIS) ausgewertet, wobei sie dem Nachweis der untersuchten Fundstellen dienen. Die interoperablen csv-Dateien sind in Unicode UTF-8 codiert und in gebräuchliche Geografische Informationssysteme (GIS) oder weitere Datenbanksysteme importierbar und damit nachnutzbar. Zur vereinfachten Ansicht der katalogartigen Auflistung der Fundstellennachweise, werden diese auch im Tabellenformat xlsx (tab) vorgelegt. Die regionalen Fundstellenkataloge erfüllen nicht den Anspruch einer vollständigen Erfassung aller Fundstellen der jeweiligen Region. Die aufgeführten Fundstellen liegen dahingehend selektiviert nach Relevanz für die Studie nur aus den entsprechenden Zeitstufen und für die ausgewählten Fundtypen vor, um somit den studienspezifischen Fragestellungen nachzugehen.Die Quellennachweise der bei der Datenaggregierung genutzten Repositorien, Publikationen und Kataloge sind neben den Angaben in den Tabellen in der Studie „Archäoinformatik und Perspektiven des Digital Cultural Heritage...“ im entsprechenden Querverweis zu den regionalen Fundkatalogen weiterführend aufgeführt.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Archäoinformatik; Archäologie; Ur- und Frühgeschichte; Völkerwanderungszeit+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Archäoinformatik und Perspektiven des Digital Cultural Heritage: Besiedlungsmuster frühgeschichtlicher Kulturen des ersten Jahrtausends AD in Zentraleuropa – Studien zur Transformation peripherer Regionen der Germania superior und des Barbaricums zum Ende des Römischen Reichs' Description:'Die hier vorliegenden regionalen archäologischen Fundstellenkataloge wurden im Rahmen der Habilitationsschrift „Archäoinformatik und Perspektiven des Digital Cultural Heritage ...“ erhoben und in einem Archäologischen Informationssystem (AIS) ausgewertet, wobei sie dem Nachweis der untersuchten Fundstellen dienen. Die interoperablen csv-Dateien sind in Unicode UTF-8 codiert und in gebräuchliche Geografische Informationssysteme (GIS) oder weitere Datenbanksysteme importierbar und damit nachnutzbar. Zur vereinfachten Ansicht der katalogartigen Auflistung der Fundstellennachweise, werden diese auch im Tabellenformat xlsx (tab) vorgelegt. Die regionalen Fundstellenkataloge erfüllen nicht den Anspruch einer vollständigen Erfassung aller Fundstellen der jeweiligen Region. Die aufgeführten Fundstellen liegen dahingehend selektiviert nach Relevanz für die Studie nur aus den entsprechenden Zeitstufen und für die ausgewählten Fundtypen vor, um somit den studienspezifischen Fragestellungen nachzugehen.Die Quellennachweise der bei der Datenaggregierung genutzten Repositorien, Publikationen und Kataloge sind neben den Angaben in den Tabellen in der Studie „Archäoinformatik und Perspektiven des Digital Cultural Heritage...“ im entsprechenden Querverweis zu den regionalen Fundkatalogen weiterführend aufgeführt.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die hier vorliegenden regionalen archäologischen Fundstellenkataloge wurden im Rahmen der Habilitationsschrift „Archäoinformatik und Perspektiven des Digital Cultural Heritage ...“ erhoben und in einem Archäologischen Informationssystem (AIS) ausgewertet, wobei sie dem Nachweis der untersuchten Fundstellen dienen. Die interoperablen csv-Dateien sind in Unicode UTF-8 codiert und in gebräuchliche Geografische Informationssysteme (GIS) oder weitere Datenbanksysteme importierbar und damit nachnutzbar. Zur vereinfachten Ansicht der katalogartigen Auflistung der Fundstellennachweise, werden diese auch im Tabellenformat xlsx (tab) vorgelegt. Die regionalen Fundstellenkataloge erfüllen nicht den Anspruch einer vollständigen Erfassung aller Fundstellen der jeweiligen Region. Die aufgeführten Fundstellen liegen dahingehend selektiviert nach Relevanz für die Studie nur aus den entsprechenden Zeitstufen und für die ausgewählten Fundtypen vor, um somit den studienspezifischen Fragestellungen nachzugehen.Die Quellennachweise der bei der Datenaggregierung genutzten Repositorien, Publikationen und Kataloge sind neben den Angaben in den Tabellen in der Studie „Archäoinformatik und Perspektiven des Digital Cultural Heritage...“ im entsprechenden Querverweis zu den regionalen Fundkatalogen weiterführend aufgeführt.","Subject":"Arts and Humanities","Keywords":"Archäoinformatik; Archäologie; Ur- und Frühgeschichte; Völkerwanderungszeit"},{"pid":"doi:10.11588/data/QRQSSZ","Title":"Ergänzungsdaten zu: Rhenish glass – A chemical investigation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsdaten zu: Rhenish glass – A chemical investigation' Description:'Die Analyse (EPMA, LaICPMS) zahlreicher archäologisch gut datierter Gläser aus römischem und frühmittelalterlichem Kontext aus Köln und weiteren Handelsorten erweitert unsere Erkenntnisse zur Erzeugung von Gebrauchsglas im Rheinland. Die fränkischen Werkstätten im Bereich des Hafens von Köln führen die Glasverarbeitung aus römischer Zeit fort. Mit der erneuten Analyse der Gläser des Gräberfeldes Krefeld-Gellep (römisch-fränkisch), der Glaswerkstatt Hasselsweiler (fränkisch) dem Glas der Hambacher Hütten (römisch) liegen nun verbesserte umfangreiche Datensätze auch zu Spurenelementen vor. Die aus inzwischen zahlreichen Arbeiten bekannten chemischen Variationen innerhalb der einzelnen Produktionsgruppen des Soda-Kalk-Glases (SLG) können für die untersuchten archäologischen Glasbefunde weitgehend bestätigt werden. Die Produktionsgruppen werden in ihrem zeitlichen Kontext sowohl allgemein für eine große Anzahl in einer Datenbank vorhandener Analysen (n = 15 270, Stand Juni 2022), als auch für die Gläser im Rheinland, besonders Köln, vorgestellt. Dabei werden auch Kriterien genutzt, um den Anteil rezyklierten Glases in den jeweiligen Zeitabschnitten zu ermitteln. Römisches Gebrauchsglas wurde in Hambach als Massenware überwiegend aus den SLG-Typen HIMT-1 und HIMT-2 (Foy série 3.2) gefertigt, während Antimon- und Manganentfärbtes Glas (Typ »Roman«) in Kölner Werkstätten zur Erzeugung hochwertigerer Glaswaren diente. In Hambach ist der Anteil von rezykliertem Altglas recht gering, sodass davon ausgegangen werden kann, dass überwiegend Rohglas als Ausgangsmaterial verwendet wurde. Im 5./6. Jahrhundert ist der Anteil von Altglas in den Werkstätten des Kölner Hafens sehr hoch, Hasselsweiler verarbeitete wohl ausschließlich Altglas. Für das im Kölner Hafen verarbeitete Glas gibt es Anteile ohne Rezyklierungs-Anzeiger, sodass ein Warenfluss von frischem Rohglas aus der Mittelmeerregion auch für die nachrömische Zeit zu fordern ist. Dieser Warenstrom bestand für das Rheinland überwiegend aus einer Produktionsgruppe, die wir als HIMT-2 zusammenfassen. Die Glastypen HIMT-1 und die reinen Roman-(Sb-Mn) Typen verschwinden in den ersten nachrömischen Jahrhunderten relativ rasch, sind aber noch in wenigen Fällen zu beobachten. Das Levantine-1 hat nur eine untergeordnete Bedeutung für den Kölner Hafen und ist, wie HIMT-1, in nachrömischer Zeit fast ausschließlich als Glasrezyklierung bzw. als ererbtes römisches Glas zu interpretieren. Glas der Egypt-Typen tritt nur in wenigen Ausnahmefällen auf, sodass davon ausgegangen werden kann, dass dieser Produktionstyp in den Kölner Werkstätten selbst nicht verarbeitet wurde. Bis in das 9. Jahrhundert dominiert das SLG die Glaswerkstätten im Rheinland, während in Gegenden vor allem rechts des Rheines bereits erstes Holzascheglas hergestellt und verarbeitet wird. Allgemein steigt der Anteil von genutztem Altglas in karolingischer Zeit stark an. Dabei tauchen auch im Rheinland im 8./9. Jahrhundert Gläser mit Roman- oder HIMT-typischer Zusammensetzung wieder auf. Das deutet auf die beginnende Verknappung des Soda-Kalk-Glases hin, da man größere Mengen Altglas aus den antiken Ruinen bezog.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Glas; Mittelalter; Produktion; Rhein+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsdaten zu: Rhenish glass – A chemical investigation' Description:'Die Analyse (EPMA, LaICPMS) zahlreicher archäologisch gut datierter Gläser aus römischem und frühmittelalterlichem Kontext aus Köln und weiteren Handelsorten erweitert unsere Erkenntnisse zur Erzeugung von Gebrauchsglas im Rheinland. Die fränkischen Werkstätten im Bereich des Hafens von Köln führen die Glasverarbeitung aus römischer Zeit fort. Mit der erneuten Analyse der Gläser des Gräberfeldes Krefeld-Gellep (römisch-fränkisch), der Glaswerkstatt Hasselsweiler (fränkisch) dem Glas der Hambacher Hütten (römisch) liegen nun verbesserte umfangreiche Datensätze auch zu Spurenelementen vor. Die aus inzwischen zahlreichen Arbeiten bekannten chemischen Variationen innerhalb der einzelnen Produktionsgruppen des Soda-Kalk-Glases (SLG) können für die untersuchten archäologischen Glasbefunde weitgehend bestätigt werden. Die Produktionsgruppen werden in ihrem zeitlichen Kontext sowohl allgemein für eine große Anzahl in einer Datenbank vorhandener Analysen (n = 15 270, Stand Juni 2022), als auch für die Gläser im Rheinland, besonders Köln, vorgestellt. Dabei werden auch Kriterien genutzt, um den Anteil rezyklierten Glases in den jeweiligen Zeitabschnitten zu ermitteln. Römisches Gebrauchsglas wurde in Hambach als Massenware überwiegend aus den SLG-Typen HIMT-1 und HIMT-2 (Foy série 3.2) gefertigt, während Antimon- und Manganentfärbtes Glas (Typ »Roman«) in Kölner Werkstätten zur Erzeugung hochwertigerer Glaswaren diente. In Hambach ist der Anteil von rezykliertem Altglas recht gering, sodass davon ausgegangen werden kann, dass überwiegend Rohglas als Ausgangsmaterial verwendet wurde. Im 5./6. Jahrhundert ist der Anteil von Altglas in den Werkstätten des Kölner Hafens sehr hoch, Hasselsweiler verarbeitete wohl ausschließlich Altglas. Für das im Kölner Hafen verarbeitete Glas gibt es Anteile ohne Rezyklierungs-Anzeiger, sodass ein Warenfluss von frischem Rohglas aus der Mittelmeerregion auch für die nachrömische Zeit zu fordern ist. Dieser Warenstrom bestand für das Rheinland überwiegend aus einer Produktionsgruppe, die wir als HIMT-2 zusammenfassen. Die Glastypen HIMT-1 und die reinen Roman-(Sb-Mn) Typen verschwinden in den ersten nachrömischen Jahrhunderten relativ rasch, sind aber noch in wenigen Fällen zu beobachten. Das Levantine-1 hat nur eine untergeordnete Bedeutung für den Kölner Hafen und ist, wie HIMT-1, in nachrömischer Zeit fast ausschließlich als Glasrezyklierung bzw. als ererbtes römisches Glas zu interpretieren. Glas der Egypt-Typen tritt nur in wenigen Ausnahmefällen auf, sodass davon ausgegangen werden kann, dass dieser Produktionstyp in den Kölner Werkstätten selbst nicht verarbeitet wurde. Bis in das 9. Jahrhundert dominiert das SLG die Glaswerkstätten im Rheinland, während in Gegenden vor allem rechts des Rheines bereits erstes Holzascheglas hergestellt und verarbeitet wird. Allgemein steigt der Anteil von genutztem Altglas in karolingischer Zeit stark an. Dabei tauchen auch im Rheinland im 8./9. Jahrhundert Gläser mit Roman- oder HIMT-typischer Zusammensetzung wieder auf. Das deutet auf die beginnende Verknappung des Soda-Kalk-Glases hin, da man größere Mengen Altglas aus den antiken Ruinen bezog.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die Analyse (EPMA, LaICPMS) zahlreicher archäologisch gut datierter Gläser aus römischem und frühmittelalterlichem Kontext aus Köln und weiteren Handelsorten erweitert unsere Erkenntnisse zur Erzeugung von Gebrauchsglas im Rheinland. Die fränkischen Werkstätten im Bereich des Hafens von Köln führen die Glasverarbeitung aus römischer Zeit fort. Mit der erneuten Analyse der Gläser des Gräberfeldes Krefeld-Gellep (römisch-fränkisch), der Glaswerkstatt Hasselsweiler (fränkisch) dem Glas der Hambacher Hütten (römisch) liegen nun verbesserte umfangreiche Datensätze auch zu Spurenelementen vor. Die aus inzwischen zahlreichen Arbeiten bekannten chemischen Variationen innerhalb der einzelnen Produktionsgruppen des Soda-Kalk-Glases (SLG) können für die untersuchten archäologischen Glasbefunde weitgehend bestätigt werden. Die Produktionsgruppen werden in ihrem zeitlichen Kontext sowohl allgemein für eine große Anzahl in einer Datenbank vorhandener Analysen (n = 15 270, Stand Juni 2022), als auch für die Gläser im Rheinland, besonders Köln, vorgestellt. Dabei werden auch Kriterien genutzt, um den Anteil rezyklierten Glases in den jeweiligen Zeitabschnitten zu ermitteln. Römisches Gebrauchsglas wurde in Hambach als Massenware überwiegend aus den SLG-Typen HIMT-1 und HIMT-2 (Foy série 3.2) gefertigt, während Antimon- und Manganentfärbtes Glas (Typ »Roman«) in Kölner Werkstätten zur Erzeugung hochwertigerer Glaswaren diente. In Hambach ist der Anteil von rezykliertem Altglas recht gering, sodass davon ausgegangen werden kann, dass überwiegend Rohglas als Ausgangsmaterial verwendet wurde. Im 5./6. Jahrhundert ist der Anteil von Altglas in den Werkstätten des Kölner Hafens sehr hoch, Hasselsweiler verarbeitete wohl ausschließlich Altglas. Für das im Kölner Hafen verarbeitete Glas gibt es Anteile ohne Rezyklierungs-Anzeiger, sodass ein Warenfluss von frischem Rohglas aus der Mittelmeerregion auch für die nachrömische Zeit zu fordern ist. Dieser Warenstrom bestand für das Rheinland überwiegend aus einer Produktionsgruppe, die wir als HIMT-2 zusammenfassen. Die Glastypen HIMT-1 und die reinen Roman-(Sb-Mn) Typen verschwinden in den ersten nachrömischen Jahrhunderten relativ rasch, sind aber noch in wenigen Fällen zu beobachten. Das Levantine-1 hat nur eine untergeordnete Bedeutung für den Kölner Hafen und ist, wie HIMT-1, in nachrömischer Zeit fast ausschließlich als Glasrezyklierung bzw. als ererbtes römisches Glas zu interpretieren. Glas der Egypt-Typen tritt nur in wenigen Ausnahmefällen auf, sodass davon ausgegangen werden kann, dass dieser Produktionstyp in den Kölner Werkstätten selbst nicht verarbeitet wurde. Bis in das 9. Jahrhundert dominiert das SLG die Glaswerkstätten im Rheinland, während in Gegenden vor allem rechts des Rheines bereits erstes Holzascheglas hergestellt und verarbeitet wird. Allgemein steigt der Anteil von genutztem Altglas in karolingischer Zeit stark an. Dabei tauchen auch im Rheinland im 8./9. Jahrhundert Gläser mit Roman- oder HIMT-typischer Zusammensetzung wieder auf. Das deutet auf die beginnende Verknappung des Soda-Kalk-Glases hin, da man größere Mengen Altglas aus den antiken Ruinen bezog.","Subject":"Arts and Humanities","Keywords":"Glas; Mittelalter; Produktion; Rhein"},{"pid":"doi:10.11588/data/QXMSS3","Title":"Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional' Description:'Das Mittelelbe-Saale-Gebiet war zwischen 4200 und 2800 v. Chr. von verschiedenen frühbäuerlichen Kulturen besiedelt. Um die kulturelle Vielfalt und die Entwicklung der Tiernutzung zu erfassen, wurden die Faunenreste der zwei bedeutenden Fundplätze Wallendorf » Hutberg « und Salzmünde » Schiepzig « untersucht und mit 29 veröffentlichten Fundorten verglichen. Insgesamt wurden mehr als 33.000 Tierreste anhand archäozoologischer Methoden statistisch ausgewertet. Es zeigt sich, dass die Nahrungsmittelproduktion hauptsächlich auf der Viehzucht basierte und dass bestimmte Fundplätze eine Spezialisierung bei genutzten Tierarten und Tierprodukten aufwiesen. Darüber hinaus belegen symbolische Praktiken die besondere Wertschätzung bestimmter Tiere und somit eine einzigartige Beziehung zu den Menschen.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Mittlere Elbe; Neolithikum; Saale; Tiere; Tierisches Produkt+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional' Description:'Das Mittelelbe-Saale-Gebiet war zwischen 4200 und 2800 v. Chr. von verschiedenen frühbäuerlichen Kulturen besiedelt. Um die kulturelle Vielfalt und die Entwicklung der Tiernutzung zu erfassen, wurden die Faunenreste der zwei bedeutenden Fundplätze Wallendorf » Hutberg « und Salzmünde » Schiepzig « untersucht und mit 29 veröffentlichten Fundorten verglichen. Insgesamt wurden mehr als 33.000 Tierreste anhand archäozoologischer Methoden statistisch ausgewertet. Es zeigt sich, dass die Nahrungsmittelproduktion hauptsächlich auf der Viehzucht basierte und dass bestimmte Fundplätze eine Spezialisierung bei genutzten Tierarten und Tierprodukten aufwiesen. Darüber hinaus belegen symbolische Praktiken die besondere Wertschätzung bestimmter Tiere und somit eine einzigartige Beziehung zu den Menschen.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Das Mittelelbe-Saale-Gebiet war zwischen 4200 und 2800 v. Chr. von verschiedenen frühbäuerlichen Kulturen besiedelt. Um die kulturelle Vielfalt und die Entwicklung der Tiernutzung zu erfassen, wurden die Faunenreste der zwei bedeutenden Fundplätze Wallendorf » Hutberg « und Salzmünde » Schiepzig « untersucht und mit 29 veröffentlichten Fundorten verglichen. Insgesamt wurden mehr als 33.000 Tierreste anhand archäozoologischer Methoden statistisch ausgewertet. Es zeigt sich, dass die Nahrungsmittelproduktion hauptsächlich auf der Viehzucht basierte und dass bestimmte Fundplätze eine Spezialisierung bei genutzten Tierarten und Tierprodukten aufwiesen. Darüber hinaus belegen symbolische Praktiken die besondere Wertschätzung bestimmter Tiere und somit eine einzigartige Beziehung zu den Menschen.","Subject":"Arts and Humanities","Keywords":"Mittlere Elbe; Neolithikum; Saale; Tiere; Tierisches Produkt"},{"pid":"doi:10.11588/data/R5RAXO","Title":"Keywords in Augustine's Letters (KAL)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Keywords in Augustine's Letters (KAL)' Description:'252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. The results were exported in MS Excel where I added an Index and modified the design to provide it more user-friendly. Furthermore, I created a register, which makes it easier to compare parallels of the key words in the letters of Augustine. They are sorted by frequency or alphabet. It provides useful additional information for everyone who wants to study style or content of Augustine's letters.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Augustine; Augustine's Correspondence; Digital Patristics; Distant Reading; Epistolarity; KeyWords; Stylometry; Topic Modeling; Vocabulary+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Keywords in Augustine's Letters (KAL)' Description:'252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. The results were exported in MS Excel where I added an Index and modified the design to provide it more user-friendly. Furthermore, I created a register, which makes it easier to compare parallels of the key words in the letters of Augustine. They are sorted by frequency or alphabet. It provides useful additional information for everyone who wants to study style or content of Augustine's letters.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. The results were exported in MS Excel where I added an Index and modified the design to provide it more user-friendly. Furthermore, I created a register, which makes it easier to compare parallels of the key words in the letters of Augustine. They are sorted by frequency or alphabet. It provides useful additional information for everyone who wants to study style or content of Augustine's letters.","Subject":"Arts and Humanities","Keywords":"Augustine; Augustine's Correspondence; Digital Patristics; Distant Reading; Epistolarity; KeyWords; Stylometry; Topic Modeling; Vocabulary"},{"pid":"doi:10.11588/data/R5RAXO","Title":"Keywords in Augustine's Letters (KAL)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Keywords in Augustine's Letters (KAL)' Description:'252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. The results were exported in MS Excel where I added an Index and modified the design to provide it more user-friendly. Furthermore, I created a register, which makes it easier to compare parallels of the key words in the letters of Augustine. They are sorted by frequency or alphabet. It provides useful additional information for everyone who wants to study style or content of Augustine's letters.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Augustine; Augustine's Correspondence; Digital Patristics; Distant Reading; Epistolarity; KeyWords; Stylometry; Topic Modeling; Vocabulary+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Keywords in Augustine's Letters (KAL)' Description:'252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. The results were exported in MS Excel where I added an Index and modified the design to provide it more user-friendly. Furthermore, I created a register, which makes it easier to compare parallels of the key words in the letters of Augustine. They are sorted by frequency or alphabet. It provides useful additional information for everyone who wants to study style or content of Augustine's letters.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. The results were exported in MS Excel where I added an Index and modified the design to provide it more user-friendly. Furthermore, I created a register, which makes it easier to compare parallels of the key words in the letters of Augustine. They are sorted by frequency or alphabet. It provides useful additional information for everyone who wants to study style or content of Augustine's letters.","Subject":"Arts and Humanities","Keywords":"Augustine; Augustine's Correspondence; Digital Patristics; Distant Reading; Epistolarity; KeyWords; Stylometry; Topic Modeling; Vocabulary"},{"pid":"doi:10.11588/data/RXGOER","Title":"The Venus of the Low Countries (Catalogue Vol. 3.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Venus of the Low Countries (Catalogue Vol. 3.1)' Description:'Compilation of 2636 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 728 identified artists of the Low Countries, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 202 pp.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Venus of the Low Countries (Catalogue Vol. 3.1)' Description:'Compilation of 2636 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 728 identified artists of the Low Countries, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 202 pp.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Compilation of 2636 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 728 identified artists of the Low Countries, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 202 pp.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/RXGOER","Title":"The Venus of the Low Countries (Catalogue Vol. 3.1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Venus of the Low Countries (Catalogue Vol. 3.1)' Description:'Compilation of 2636 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 728 identified artists of the Low Countries, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 202 pp.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aphrodite; iconography; Venus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Venus of the Low Countries (Catalogue Vol. 3.1)' Description:'Compilation of 2636 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 728 identified artists of the Low Countries, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 202 pp.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Compilation of 2636 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 728 identified artists of the Low Countries, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 202 pp.","Subject":"Arts and Humanities","Keywords":"Aphrodite; iconography; Venus"},{"pid":"doi:10.11588/data/RYQ0HT","Title":"Ergänzungsmaterial zu: Glycymeris molluscs in the context of the Upper Palaeolithic of Southwestern Germany / Glycymeris Mollusken im Kontext des Jungpaläolithikums Südwestdeutschlands","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Glycymeris molluscs in the context of the Upper Palaeolithic of Southwestern Germany / Glycymeris Mollusken im Kontext des Jungpaläolithikums Südwestdeutschlands' Description:'Vogelherd and Petersfels are two of the richest central European Palaeolithic sites from the Aurignacian and Magdalenian periods. Vogelherd is known for its figurative art, flutes and ornaments made of ivory, while Petersfels is known for its complex ornament assemblage, especially the female figurines made of jet. Both sites yielded Glycymeris molluscs, which can provide unique information on the mobility and social behaviour of groups from the Upper Palaeolithic of southern Germany. In this paper, we examine the Glycymeris finds from southern Germany and place them in a broader European context by summarising the finds from Belgium, Switzerland, France, and Italy. Glycymeris are one of the most common bivalve species in the Upper Palaeolithic of Central Europe and are found from the Aurignacian until the Magdalenian. The analyses presented here constitute a functional analysis of Glycymeris and an interpretation of their significance in terms of longdistance connections. Finally, we address use-traces and residues left on the Glycymeris and put forward various hypotheses for future investigation.' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aurignacian; Magdalenian; Molluscs; Petersfels; Upper Palaeolithic; Vogelherd,+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ergänzungsmaterial zu: Glycymeris molluscs in the context of the Upper Palaeolithic of Southwestern Germany / Glycymeris Mollusken im Kontext des Jungpaläolithikums Südwestdeutschlands' Description:'Vogelherd and Petersfels are two of the richest central European Palaeolithic sites from the Aurignacian and Magdalenian periods. Vogelherd is known for its figurative art, flutes and ornaments made of ivory, while Petersfels is known for its complex ornament assemblage, especially the female figurines made of jet. Both sites yielded Glycymeris molluscs, which can provide unique information on the mobility and social behaviour of groups from the Upper Palaeolithic of southern Germany. In this paper, we examine the Glycymeris finds from southern Germany and place them in a broader European context by summarising the finds from Belgium, Switzerland, France, and Italy. Glycymeris are one of the most common bivalve species in the Upper Palaeolithic of Central Europe and are found from the Aurignacian until the Magdalenian. The analyses presented here constitute a functional analysis of Glycymeris and an interpretation of their significance in terms of longdistance connections. Finally, we address use-traces and residues left on the Glycymeris and put forward various hypotheses for future investigation.' Subject:'Arts and Humanities. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vogelherd and Petersfels are two of the richest central European Palaeolithic sites from the Aurignacian and Magdalenian periods. Vogelherd is known for its figurative art, flutes and ornaments made of ivory, while Petersfels is known for its complex ornament assemblage, especially the female figurines made of jet. Both sites yielded Glycymeris molluscs, which can provide unique information on the mobility and social behaviour of groups from the Upper Palaeolithic of southern Germany. In this paper, we examine the Glycymeris finds from southern Germany and place them in a broader European context by summarising the finds from Belgium, Switzerland, France, and Italy. Glycymeris are one of the most common bivalve species in the Upper Palaeolithic of Central Europe and are found from the Aurignacian until the Magdalenian. The analyses presented here constitute a functional analysis of Glycymeris and an interpretation of their significance in terms of longdistance connections. Finally, we address use-traces and residues left on the Glycymeris and put forward various hypotheses for future investigation.","Subject":"Arts and Humanities","Keywords":"Aurignacian; Magdalenian; Molluscs; Petersfels; Upper Palaeolithic; Vogelherd,"},{"pid":"doi:10.11588/data/S90S35","Title":"tweeDe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'tweeDe' Description:'A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework' Subject:'Arts and Humanities'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; German; morphological feature; parsing; part of speech; PoS; syntactic dependency; tweets; Twitter treebank; Universal Dependency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'tweeDe' Description:'A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework","Subject":"Arts and Humanities","Keywords":"annotation; German; morphological feature; parsing; part of speech; PoS; syntactic dependency; tweets; Twitter treebank; Universal Dependency"},{"pid":"doi:10.18130/V3/YQLJ5W","Title":"Baidu mobility data for January through April, 2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Baidu mobility data for January through April, 2020' Description:'This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data source and explaining what the data represent and to James Schlitt for scraping the data.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2019-ncov; Baidu; mobility; Wuhan+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Baidu mobility data for January through April, 2020' Description:'This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data source and explaining what the data represent and to James Schlitt for scraping the data.' Subject:'Computer and Information Science; Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data source and explaining what the data represent and to James Schlitt for scraping the data.","Subject":" Mathematical Sciences","Keywords":"2019-ncov; Baidu; mobility; Wuhan"},{"pid":"doi:10.18710/2JTIOT","Title":"Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer' Description:'These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {features; gating; lung cancer; motion correction; PET; positron emission tomography; radiomics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer' Description:'These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).","Subject":"Mathematical Sciences","Keywords":"features; gating; lung cancer; motion correction; PET; positron emission tomography; radiomics"},{"pid":"doi:10.18710/3OJHDN","Title":"Replication Data for: Closure Law Model Uncertainty Quantification","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Closure Law Model Uncertainty Quantification' Description:'The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {closure laws; ledaflow; multiphase flow; prediction; uncertainty propagation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Closure Law Model Uncertainty Quantification' Description:'The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.","Subject":" Mathematical Sciences","Keywords":"closure laws; ledaflow; multiphase flow; prediction; uncertainty propagation"},{"pid":"doi:10.18710/5IYSKV","Title":"GEMINI-SIGMA output Replication Data for: 'On the production of ionospheric irregularities via Kelvin-Helmholtz instability associated with cusp flow channels'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GEMINI-SIGMA output Replication Data for: 'On the production of ionospheric irregularities via Kelvin-Helmholtz instability associated with cusp flow channels'' Description:'The files contain outputs from numerical simulations using a combination of the numerical models Geospace Environment Model of Ion-Neutral Interactions (GEMINI) and Satellite-beacon Ionospheric- scintillation Global Model of the upper Atmosphere (SIGMA).The outputs provide simulated time series of Global Positioning System (GPS) scintillations through density structures generated by the Kelvin Helmholtz instability (KHI), as explained in detail in the publication.The numerical codes used to generate the outputs are described in the following publications:• Zettergren, M., Semeter, J., & Dahlgren, H. (2015). “Dynamics of density cavities generated by frictional heating: Formation, distortion, and instability”. Geophysical Research Letters, 42(23).[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2015GL066806 ]• Deshpande, K. B., Bust, G. S., Clauer, C. R., Rino, C. L., & Carrano, C. S. (2014). “Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) I: High latitude sensitivity study of the model parameters”. Journal of Geophysical Research: Space Physics, 119, 4026-4043. doi:10.1002/2013JA019699811.[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JA019699 ] • Deshpande, K. B., & Zettergren, M. D. (2019). “Satellite-Beacon Ionospheric Scintillation Global Model of the Upper Atmosphere (SIGMA) III: Scintillation Simulation Using A Physics-Based Plasma Model”. Geophysical Research Letters, 46(9), 4564-4572. doi:10.1029/2019GL082576. [Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082576 ]GEMINI is free, open-source software and can be downloaded from GitHub at https://github.com/gemini3d/. Build instructions, example simulations, and documentation are also included on this website.Uploaded by A.S.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ionosphere; Kelvin-Helmholtz instability; plasma instabilities; scintillations; space weather+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GEMINI-SIGMA output Replication Data for: 'On the production of ionospheric irregularities via Kelvin-Helmholtz instability associated with cusp flow channels'' Description:'The files contain outputs from numerical simulations using a combination of the numerical models Geospace Environment Model of Ion-Neutral Interactions (GEMINI) and Satellite-beacon Ionospheric- scintillation Global Model of the upper Atmosphere (SIGMA).The outputs provide simulated time series of Global Positioning System (GPS) scintillations through density structures generated by the Kelvin Helmholtz instability (KHI), as explained in detail in the publication.The numerical codes used to generate the outputs are described in the following publications:• Zettergren, M., Semeter, J., & Dahlgren, H. (2015). “Dynamics of density cavities generated by frictional heating: Formation, distortion, and instability”. Geophysical Research Letters, 42(23).[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2015GL066806 ]• Deshpande, K. B., Bust, G. S., Clauer, C. R., Rino, C. L., & Carrano, C. S. (2014). “Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) I: High latitude sensitivity study of the model parameters”. Journal of Geophysical Research: Space Physics, 119, 4026-4043. doi:10.1002/2013JA019699811.[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JA019699 ] • Deshpande, K. B., & Zettergren, M. D. (2019). “Satellite-Beacon Ionospheric Scintillation Global Model of the Upper Atmosphere (SIGMA) III: Scintillation Simulation Using A Physics-Based Plasma Model”. Geophysical Research Letters, 46(9), 4564-4572. doi:10.1029/2019GL082576. [Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082576 ]GEMINI is free, open-source software and can be downloaded from GitHub at https://github.com/gemini3d/. Build instructions, example simulations, and documentation are also included on this website.Uploaded by A.S.' Subject:'Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The files contain outputs from numerical simulations using a combination of the numerical models Geospace Environment Model of Ion-Neutral Interactions (GEMINI) and Satellite-beacon Ionospheric- scintillation Global Model of the upper Atmosphere (SIGMA).The outputs provide simulated time series of Global Positioning System (GPS) scintillations through density structures generated by the Kelvin Helmholtz instability (KHI), as explained in detail in the publication.The numerical codes used to generate the outputs are described in the following publications:• Zettergren, M., Semeter, J., & Dahlgren, H. (2015). “Dynamics of density cavities generated by frictional heating: Formation, distortion, and instability”. Geophysical Research Letters, 42(23).[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2015GL066806 ]• Deshpande, K. B., Bust, G. S., Clauer, C. R., Rino, C. L., & Carrano, C. S. (2014). “Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) I: High latitude sensitivity study of the model parameters”. Journal of Geophysical Research: Space Physics, 119, 4026-4043. doi:10.1002/2013JA019699811.[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JA019699 ] • Deshpande, K. B., & Zettergren, M. D. (2019). “Satellite-Beacon Ionospheric Scintillation Global Model of the Upper Atmosphere (SIGMA) III: Scintillation Simulation Using A Physics-Based Plasma Model”. Geophysical Research Letters, 46(9), 4564-4572. doi:10.1029/2019GL082576. [Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082576 ]GEMINI is free, open-source software and can be downloaded from GitHub at https://github.com/gemini3d/. Build instructions, example simulations, and documentation are also included on this website.Uploaded by A.S.","Subject":"Mathematical Sciences","Keywords":"ionosphere; Kelvin-Helmholtz instability; plasma instabilities; scintillations; space weather"},{"pid":"doi:10.18710/EOGMVW","Title":"Replication data for: Adapting statistics education to a cognitively heterogeneous student population","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Adapting statistics education to a cognitively heterogeneous student population' Description:'The data consists of anonymous information collected for 183 students taking the introductory course (STAT100) at the Norwegian university of life sciences the fall semester 2016.The data collection is part of a project which explores how an increasing student population learn and are motivated to learn statistics.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Adaptive education; Education; Personality types; Statistics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Adapting statistics education to a cognitively heterogeneous student population' Description:'The data consists of anonymous information collected for 183 students taking the introductory course (STAT100) at the Norwegian university of life sciences the fall semester 2016.The data collection is part of a project which explores how an increasing student population learn and are motivated to learn statistics.' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data consists of anonymous information collected for 183 students taking the introductory course (STAT100) at the Norwegian university of life sciences the fall semester 2016.The data collection is part of a project which explores how an increasing student population learn and are motivated to learn statistics.","Subject":"Mathematical Sciences","Keywords":"Adaptive education; Education; Personality types; Statistics"},{"pid":"doi:10.18710/EOZKTR","Title":"Comparative Judgement of Statements About Mathematical Definitions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Comparative Judgement of Statements About Mathematical Definitions' Description:'Data from a comparative judgement survey consisting of 62 working mathematics educators (ME) at Norwegian universities or city colleges, and 57 working mathematicians at Norwegian universities. A total of 3607 comparisons of which 1780 comparisons by the ME and 1827 ME. The comparative judgement survey consisted of respondents comparing pairs of statements on mathematical definitions compiled from a literature review on mathematical definitions in the mathematics education literature. Each WM was asked to judge 40 pairs of statements with the following question: “As a researcher in mathematics, where your target group is other mathematicians, what is more important about mathematical definitions?” Each ME was asked to judge 41 pairs of statements with the following question: “For a mathematical definition in the context of teaching and learning, what is more important?”The comparative judgement was done with No More Marking software (nomoremarking.com)The data set consists of the following data:comparisons made by ME (ME.csv)comparisons made by WM (WM.csv)Look up table of codes of statements and statement formulations (key.csv)Each line in the comparison represents a comparison, where the 'winner' column represents the winner and the 'loser' column the loser of the comparison.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Comparative judgement; definition; Mathematical definitions; mathematicians; mathematics; mathematics didactics; Teacher education+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Comparative Judgement of Statements About Mathematical Definitions' Description:'Data from a comparative judgement survey consisting of 62 working mathematics educators (ME) at Norwegian universities or city colleges, and 57 working mathematicians at Norwegian universities. A total of 3607 comparisons of which 1780 comparisons by the ME and 1827 ME. The comparative judgement survey consisted of respondents comparing pairs of statements on mathematical definitions compiled from a literature review on mathematical definitions in the mathematics education literature. Each WM was asked to judge 40 pairs of statements with the following question: “As a researcher in mathematics, where your target group is other mathematicians, what is more important about mathematical definitions?” Each ME was asked to judge 41 pairs of statements with the following question: “For a mathematical definition in the context of teaching and learning, what is more important?”The comparative judgement was done with No More Marking software (nomoremarking.com)The data set consists of the following data:comparisons made by ME (ME.csv)comparisons made by WM (WM.csv)Look up table of codes of statements and statement formulations (key.csv)Each line in the comparison represents a comparison, where the 'winner' column represents the winner and the 'loser' column the loser of the comparison.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data from a comparative judgement survey consisting of 62 working mathematics educators (ME) at Norwegian universities or city colleges, and 57 working mathematicians at Norwegian universities. A total of 3607 comparisons of which 1780 comparisons by the ME and 1827 ME. The comparative judgement survey consisted of respondents comparing pairs of statements on mathematical definitions compiled from a literature review on mathematical definitions in the mathematics education literature. Each WM was asked to judge 40 pairs of statements with the following question: “As a researcher in mathematics, where your target group is other mathematicians, what is more important about mathematical definitions?” Each ME was asked to judge 41 pairs of statements with the following question: “For a mathematical definition in the context of teaching and learning, what is more important?”The comparative judgement was done with No More Marking software (nomoremarking.com)The data set consists of the following data:comparisons made by ME (ME.csv)comparisons made by WM (WM.csv)Look up table of codes of statements and statement formulations (key.csv)Each line in the comparison represents a comparison, where the 'winner' column represents the winner and the 'loser' column the loser of the comparison.","Subject":"Mathematical Sciences","Keywords":"Comparative judgement; definition; Mathematical definitions; mathematicians; mathematics; mathematics didactics; Teacher education"},{"pid":"doi:10.18710/IHUVTB","Title":"Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response' Description:'Radiative forcing estimates for CMIP5 models. Two different estimates are provided for each model for the 1%CO2 experiment and the historical and the four RCP experiments RCP2.6, RCP4.5, RCP6.0 and RCP8.5 for the time period 1850 - 2100. Forcing estimates referred to as the F13 method were first published by Forster et al. (2013). The other forcing estimates are based on the new algorithm described in the related paper, which is a further development of the F13 method to also allow for nonconstant feedback parameters. The new method results in stronger forcing estimates for the 21st century scenarios.Forster, P. M., Andrews, T., Good, P., Gregory, J. M., Jackson, L. S., & Zelinka, M. (2013). Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models. Journal of Geophysical Research, 118, 1139–1150. https://doi.org/10.1002/jgrd.50174 ' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CMIP5; Linear response; Radiative forcing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response' Description:'Radiative forcing estimates for CMIP5 models. Two different estimates are provided for each model for the 1%CO2 experiment and the historical and the four RCP experiments RCP2.6, RCP4.5, RCP6.0 and RCP8.5 for the time period 1850 - 2100. Forcing estimates referred to as the F13 method were first published by Forster et al. (2013). The other forcing estimates are based on the new algorithm described in the related paper, which is a further development of the F13 method to also allow for nonconstant feedback parameters. The new method results in stronger forcing estimates for the 21st century scenarios.Forster, P. M., Andrews, T., Good, P., Gregory, J. M., Jackson, L. S., & Zelinka, M. (2013). Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models. Journal of Geophysical Research, 118, 1139–1150. https://doi.org/10.1002/jgrd.50174 ' Subject:'Earth and Environmental Sciences; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Radiative forcing estimates for CMIP5 models. Two different estimates are provided for each model for the 1%CO2 experiment and the historical and the four RCP experiments RCP2.6, RCP4.5, RCP6.0 and RCP8.5 for the time period 1850 - 2100. Forcing estimates referred to as the F13 method were first published by Forster et al. (2013). The other forcing estimates are based on the new algorithm described in the related paper, which is a further development of the F13 method to also allow for nonconstant feedback parameters. The new method results in stronger forcing estimates for the 21st century scenarios.Forster, P. M., Andrews, T., Good, P., Gregory, J. M., Jackson, L. S., & Zelinka, M. (2013). Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models. Journal of Geophysical Research, 118, 1139–1150. https://doi.org/10.1002/jgrd.50174 ","Subject":" Mathematical Sciences","Keywords":"CMIP5; Linear response; Radiative forcing"},{"pid":"doi:10.18710/OWKABR","Title":"Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow' Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow' Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.","Subject":" Mathematical Sciences","Keywords":"monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell"},{"pid":"doi:10.18710/PI8PJQ","Title":"Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia' Description:'These data constitute the supplementary material for the publication 'Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia'. The dataset forms the results for the entire parameter space used in simulations. Please read the following abstract from publication for more detail about the nature of the project. Modern speciation theory has greatly benefited from a variety of simple mathematical models focusing on the conditions and patterns of speciation and diversification in the presence of geneflow. Unfortunately the application of general theoretical concepts and tools to specific ecological systems remains a challenge. Here we apply modeling tools to better understand adaptive divergence of whitefish during the postglacial period in lakes of northern Fennoscandia. These lakes harbor up to three different morphs associated with the three major lake habitats: littoral, pelagic, and profundal. Using large-scale individual-based simulations, we aim to identify factors required for in situ emergence of the pelagic and profundal morphs in lakes initially colonized by the littoral morph. The importance of some of the factors we identify and study - sufficiently large levels of initial genetic variation, size- and habitat-specific mating, sufficiently large carrying capacity of the new niche - is already well recognized. In addition, our model also points to two other factors that have been largely disregarded in theoretical studies: fitness-dependent dispersal and strong predator pressure in the ancestral niche coupled with the lack of it in the new niche(s). We use our theoretical results to speculate about the process of diversification of whitefish in Fennoscandia and to identify potentially profitable directions for future empirical research.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {divergence; gene flow; individual-based simulation; mathematical modeling; parapatric speciation; speciation; whitefish+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia' Description:'These data constitute the supplementary material for the publication 'Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia'. The dataset forms the results for the entire parameter space used in simulations. Please read the following abstract from publication for more detail about the nature of the project. Modern speciation theory has greatly benefited from a variety of simple mathematical models focusing on the conditions and patterns of speciation and diversification in the presence of geneflow. Unfortunately the application of general theoretical concepts and tools to specific ecological systems remains a challenge. Here we apply modeling tools to better understand adaptive divergence of whitefish during the postglacial period in lakes of northern Fennoscandia. These lakes harbor up to three different morphs associated with the three major lake habitats: littoral, pelagic, and profundal. Using large-scale individual-based simulations, we aim to identify factors required for in situ emergence of the pelagic and profundal morphs in lakes initially colonized by the littoral morph. The importance of some of the factors we identify and study - sufficiently large levels of initial genetic variation, size- and habitat-specific mating, sufficiently large carrying capacity of the new niche - is already well recognized. In addition, our model also points to two other factors that have been largely disregarded in theoretical studies: fitness-dependent dispersal and strong predator pressure in the ancestral niche coupled with the lack of it in the new niche(s). We use our theoretical results to speculate about the process of diversification of whitefish in Fennoscandia and to identify potentially profitable directions for future empirical research.' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These data constitute the supplementary material for the publication 'Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia'. The dataset forms the results for the entire parameter space used in simulations. Please read the following abstract from publication for more detail about the nature of the project. Modern speciation theory has greatly benefited from a variety of simple mathematical models focusing on the conditions and patterns of speciation and diversification in the presence of geneflow. Unfortunately the application of general theoretical concepts and tools to specific ecological systems remains a challenge. Here we apply modeling tools to better understand adaptive divergence of whitefish during the postglacial period in lakes of northern Fennoscandia. These lakes harbor up to three different morphs associated with the three major lake habitats: littoral, pelagic, and profundal. Using large-scale individual-based simulations, we aim to identify factors required for in situ emergence of the pelagic and profundal morphs in lakes initially colonized by the littoral morph. The importance of some of the factors we identify and study - sufficiently large levels of initial genetic variation, size- and habitat-specific mating, sufficiently large carrying capacity of the new niche - is already well recognized. In addition, our model also points to two other factors that have been largely disregarded in theoretical studies: fitness-dependent dispersal and strong predator pressure in the ancestral niche coupled with the lack of it in the new niche(s). We use our theoretical results to speculate about the process of diversification of whitefish in Fennoscandia and to identify potentially profitable directions for future empirical research.","Subject":"Mathematical Sciences","Keywords":"divergence; gene flow; individual-based simulation; mathematical modeling; parapatric speciation; speciation; whitefish"},{"pid":"doi:10.18710/RPTX0D","Title":"Replication Data for: A Comparison of Price Fluctuations Between Brent Crude Oil and Retail Fuel Prices in Stavanger - An Algorithmic Model for Refueling","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A Comparison of Price Fluctuations Between Brent Crude Oil and Retail Fuel Prices in Stavanger - An Algorithmic Model for Refueling' Description:'This data set is used in the Master's thesis: 'A Comparison of Price Fluctuations Between Brent Crude Oil and Retail Fuel Prices in Stavanger - An Algorithmic Model for Refueling' by Ola Nes (2021)The data set contains the fuel prices collected (Excel and CSV files), and the Python code which contains all functions used in the thesis.Abstract for thesis:'This thesis investigates and compares the volatility in the retail fuel market in Stavanger and Brent crude oil. Gasoline and diesel prices have been collected from gas stations in Stavanger in 2020 and 2021, and are used for the thesis’ main goal of developing an algorithmic mathematical model for refueling vehicles at optimal times for consumers that could be used in practice. The collected data suggests that there is higher volatility in the retail fuel market in Stavanger compared to the Brent crude oil market. Gas stations follow a characteristic Edgeworth cycle pattern that have price spikes occur when restarting their price cycles. These occur for the most part at the same time across all gas stations monitored in Stavanger. This pattern can be difficult for consumers to predict. Therefore, a practical refueling algorithm could be useful. There are many factors that go in to such a model to make it efficient such as price spike analysis from the Edgeworth cycle pattern found in retail fuel markets and estimating volatility using GARCH(1,1) method.'' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Algorithmic trading models; Brent crude oil; Economical markets; Edgeworth cycles; Efficient market hypothesis; GARCH(1,1); Gasoline and diesel prices; Pearson correlation; Price spikes; Statistics; Volatility+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A Comparison of Price Fluctuations Between Brent Crude Oil and Retail Fuel Prices in Stavanger - An Algorithmic Model for Refueling' Description:'This data set is used in the Master's thesis: 'A Comparison of Price Fluctuations Between Brent Crude Oil and Retail Fuel Prices in Stavanger - An Algorithmic Model for Refueling' by Ola Nes (2021)The data set contains the fuel prices collected (Excel and CSV files), and the Python code which contains all functions used in the thesis.Abstract for thesis:'This thesis investigates and compares the volatility in the retail fuel market in Stavanger and Brent crude oil. Gasoline and diesel prices have been collected from gas stations in Stavanger in 2020 and 2021, and are used for the thesis’ main goal of developing an algorithmic mathematical model for refueling vehicles at optimal times for consumers that could be used in practice. The collected data suggests that there is higher volatility in the retail fuel market in Stavanger compared to the Brent crude oil market. Gas stations follow a characteristic Edgeworth cycle pattern that have price spikes occur when restarting their price cycles. These occur for the most part at the same time across all gas stations monitored in Stavanger. This pattern can be difficult for consumers to predict. Therefore, a practical refueling algorithm could be useful. There are many factors that go in to such a model to make it efficient such as price spike analysis from the Edgeworth cycle pattern found in retail fuel markets and estimating volatility using GARCH(1,1) method.'' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set is used in the Master's thesis: 'A Comparison of Price Fluctuations Between Brent Crude Oil and Retail Fuel Prices in Stavanger - An Algorithmic Model for Refueling' by Ola Nes (2021)The data set contains the fuel prices collected (Excel and CSV files), and the Python code which contains all functions used in the thesis.Abstract for thesis:'This thesis investigates and compares the volatility in the retail fuel market in Stavanger and Brent crude oil. Gasoline and diesel prices have been collected from gas stations in Stavanger in 2020 and 2021, and are used for the thesis’ main goal of developing an algorithmic mathematical model for refueling vehicles at optimal times for consumers that could be used in practice. The collected data suggests that there is higher volatility in the retail fuel market in Stavanger compared to the Brent crude oil market. Gas stations follow a characteristic Edgeworth cycle pattern that have price spikes occur when restarting their price cycles. These occur for the most part at the same time across all gas stations monitored in Stavanger. This pattern can be difficult for consumers to predict. Therefore, a practical refueling algorithm could be useful. There are many factors that go in to such a model to make it efficient such as price spike analysis from the Edgeworth cycle pattern found in retail fuel markets and estimating volatility using GARCH(1,1) method.'","Subject":"Mathematical Sciences","Keywords":"Algorithmic trading models; Brent crude oil; Economical markets; Edgeworth cycles; Efficient market hypothesis; GARCH(1,1); Gasoline and diesel prices; Pearson correlation; Price spikes; Statistics; Volatility"},{"pid":"doi:10.18710/SSA38J","Title":"Replication Data for: Auroral Image Classification with Deep Neural Networks","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Auroral Image Classification with Deep Neural Networks' Description:'Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statistics and for supporting scientists to study auroral images in an objective, organized and repeatable manner. Although previous studies have presented tools for detecting aurora, there has been a lack of tools for classifying aurora into subclasses with a high precision (>90%). This work considers seven auroral subclasses; breakup, colored, arcs-bands, discrete, patchy, edge and clear-faint. Five different deep neural network architectures have been tested along with the well known classification methods; k nearest neighbor (KNN) and support vector machine (SVM). A set of clean nighttime color auroral images, without ambiguous auroral forms, moonlight, twilight, clouds etc., were used for training and testing. The deep neural networks generally outperformed the KNN and SVM methods, and the ResNet-50 architecture achieved the highest performance with an average classification precision of 92%. Although the results indicate that high precision aurora classification is an attainable objective using deep neural networks, it is stressed that a common consensus of the auroral morphology and the criteria for each class needs. The authors would like to thank Urban Brändström and the Swedish Institute of Space Physics for providing the original auroral image data. The image data archive is freely accessible at http://www2.irf.se/allsky/data.html, however, the users are obliged to contact the Kiruna Atmospheric and Geophysical Observatory before usage' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora dataset; auroral classification; auroral images; convolutional neural networks; deep learning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Auroral Image Classification with Deep Neural Networks' Description:'Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statistics and for supporting scientists to study auroral images in an objective, organized and repeatable manner. Although previous studies have presented tools for detecting aurora, there has been a lack of tools for classifying aurora into subclasses with a high precision (>90%). This work considers seven auroral subclasses; breakup, colored, arcs-bands, discrete, patchy, edge and clear-faint. Five different deep neural network architectures have been tested along with the well known classification methods; k nearest neighbor (KNN) and support vector machine (SVM). A set of clean nighttime color auroral images, without ambiguous auroral forms, moonlight, twilight, clouds etc., were used for training and testing. The deep neural networks generally outperformed the KNN and SVM methods, and the ResNet-50 architecture achieved the highest performance with an average classification precision of 92%. Although the results indicate that high precision aurora classification is an attainable objective using deep neural networks, it is stressed that a common consensus of the auroral morphology and the criteria for each class needs. The authors would like to thank Urban Brändström and the Swedish Institute of Space Physics for providing the original auroral image data. The image data archive is freely accessible at http://www2.irf.se/allsky/data.html, however, the users are obliged to contact the Kiruna Atmospheric and Geophysical Observatory before usage' Subject:'Computer and Information Science; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statistics and for supporting scientists to study auroral images in an objective, organized and repeatable manner. Although previous studies have presented tools for detecting aurora, there has been a lack of tools for classifying aurora into subclasses with a high precision (>90%). This work considers seven auroral subclasses; breakup, colored, arcs-bands, discrete, patchy, edge and clear-faint. Five different deep neural network architectures have been tested along with the well known classification methods; k nearest neighbor (KNN) and support vector machine (SVM). A set of clean nighttime color auroral images, without ambiguous auroral forms, moonlight, twilight, clouds etc., were used for training and testing. The deep neural networks generally outperformed the KNN and SVM methods, and the ResNet-50 architecture achieved the highest performance with an average classification precision of 92%. Although the results indicate that high precision aurora classification is an attainable objective using deep neural networks, it is stressed that a common consensus of the auroral morphology and the criteria for each class needs. The authors would like to thank Urban Brändström and the Swedish Institute of Space Physics for providing the original auroral image data. The image data archive is freely accessible at http://www2.irf.se/allsky/data.html, however, the users are obliged to contact the Kiruna Atmospheric and Geophysical Observatory before usage","Subject":" Mathematical Sciences","Keywords":"aurora dataset; auroral classification; auroral images; convolutional neural networks; deep learning"},{"pid":"doi:10.18710/U7RRKE","Title":"Code for: Estimating treatment prolongation for persistent infections","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Code for: Estimating treatment prolongation for persistent infections' Description:'This repository contains the Mathematica (11.3.0) notebooks that were used to generate figures for the approximation described in 'Estimating treatment prolongation for persistent infections'. The file 'fold increase in treatment length.nb' is used for Figure 4 and 5, and 'fold increase in treatment length.txt' is the text version of the code. The file 'Efflux pumps.nb' is used for Figure 6 and 7, and 'Efflux pumps.txt' is the text version of the code.This file uses the dataset found at https://datarep.app.ist.ac.at/53/, which has to be downloaded for the code to work.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Antibiotics; Mathematical model; Persistence; treatment length+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Code for: Estimating treatment prolongation for persistent infections' Description:'This repository contains the Mathematica (11.3.0) notebooks that were used to generate figures for the approximation described in 'Estimating treatment prolongation for persistent infections'. The file 'fold increase in treatment length.nb' is used for Figure 4 and 5, and 'fold increase in treatment length.txt' is the text version of the code. The file 'Efflux pumps.nb' is used for Figure 6 and 7, and 'Efflux pumps.txt' is the text version of the code.This file uses the dataset found at https://datarep.app.ist.ac.at/53/, which has to be downloaded for the code to work.' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This repository contains the Mathematica (11.3.0) notebooks that were used to generate figures for the approximation described in 'Estimating treatment prolongation for persistent infections'. The file 'fold increase in treatment length.nb' is used for Figure 4 and 5, and 'fold increase in treatment length.txt' is the text version of the code. The file 'Efflux pumps.nb' is used for Figure 6 and 7, and 'Efflux pumps.txt' is the text version of the code.This file uses the dataset found at https://datarep.app.ist.ac.at/53/, which has to be downloaded for the code to work.","Subject":"Mathematical Sciences","Keywords":"Antibiotics; Mathematical model; Persistence; treatment length"},{"pid":"doi:10.18738/T8/920BS9","Title":"TSP with flexible coloring","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TSP with flexible coloring' Description:'Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {TSP+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TSP with flexible coloring' Description:'Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing' Subject:'Business and Management; Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Test problems for Clustered TSP and TSP with flexible coloringTest problems for home healthcare service routing","Subject":" Mathematical Sciences","Keywords":"TSP"},{"pid":"doi:10.18738/T8/CHW28Z","Title":"Monte Carlo Simulation Results Categorical Latent Class Analysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monte Carlo Simulation Results Categorical Latent Class Analysis' Description:'This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {latent-class-analysis; Mixture-Model; Mplus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monte Carlo Simulation Results Categorical Latent Class Analysis' Description:'This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.","Subject":"Mathematical Sciences","Keywords":"latent-class-analysis; Mixture-Model; Mplus"},{"pid":"doi:10.18738/T8/LRZBLS","Title":"BIPquick code and supporting data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'BIPquick code and supporting data' Description:'This dataset is provides the python code and supporting data for the BIPquick network partitioning algorithm.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {network partition+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'BIPquick code and supporting data' Description:'This dataset is provides the python code and supporting data for the BIPquick network partitioning algorithm.' Subject:'Earth and Environmental Sciences; Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset is provides the python code and supporting data for the BIPquick network partitioning algorithm.","Subject":" Mathematical Sciences","Keywords":"network partition"},{"pid":"doi:10.18738/T8/RBUFZG","Title":"ML-CFA Monte Carlo Simulation Back Up Files","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ML-CFA Monte Carlo Simulation Back Up Files' Description:'This dataset contains the entirety of the files generated during the large Monte Carlo simulation study on fit statistics in multilevel factor analysis.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {MCFA; simulation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ML-CFA Monte Carlo Simulation Back Up Files' Description:'This dataset contains the entirety of the files generated during the large Monte Carlo simulation study on fit statistics in multilevel factor analysis.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the entirety of the files generated during the large Monte Carlo simulation study on fit statistics in multilevel factor analysis.","Subject":"Mathematical Sciences","Keywords":"MCFA; simulation"},{"pid":"doi:10.18738/T8/WDFBR5","Title":"r-flip and MST2 algorithms: data files and results","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'r-flip and MST2 algorithms: data files and results' Description:'The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {QUBO+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'r-flip and MST2 algorithms: data files and results' Description:'The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000' Subject:'Business and Management; Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000","Subject":" Mathematical Sciences","Keywords":"QUBO"},{"pid":"doi:10.18738/T8/YQ9PSJ","Title":"City Sustainable Development Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'City Sustainable Development Data' Description:'The data for 284 Chinese cities and results of Random Block Analysis.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Data Envolopment Analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'City Sustainable Development Data' Description:'The data for 284 Chinese cities and results of Random Block Analysis.' Subject:'Business and Management; Earth and Environmental Sciences; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data for 284 Chinese cities and results of Random Block Analysis.","Subject":" Mathematical Sciences","Keywords":"Data Envolopment Analysis"},{"pid":"doi:10.21223/P3/8WR5J9","Title":"Thermal Images Processor (TIPCIP)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Thermal Images Processor (TIPCIP)' Description:'The software TIPCIP allows to process thermal images. It was developed within the Crop Systems Intensification and Climate Change Division of the International Potato Center (CIP), whose main objective is to determine the canopy temperature on potato crop fields (cultivar UNICA), through the automatic alignment of thermal and visible images taken with a thermal camera.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Canopy temperature; Images alignment; Thermal remote sensing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Thermal Images Processor (TIPCIP)' Description:'The software TIPCIP allows to process thermal images. It was developed within the Crop Systems Intensification and Climate Change Division of the International Potato Center (CIP), whose main objective is to determine the canopy temperature on potato crop fields (cultivar UNICA), through the automatic alignment of thermal and visible images taken with a thermal camera.' Subject:'Agricultural Sciences; Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The software TIPCIP allows to process thermal images. It was developed within the Crop Systems Intensification and Climate Change Division of the International Potato Center (CIP), whose main objective is to determine the canopy temperature on potato crop fields (cultivar UNICA), through the automatic alignment of thermal and visible images taken with a thermal camera.","Subject":" Mathematical Sciences","Keywords":"Canopy temperature; Images alignment; Thermal remote sensing"},{"pid":"doi:10.21950/PNYKF5","Title":"Limitations of Stationary Vlasov-Poisson Solvers in Probe Theory","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Limitations of Stationary Vlasov-Poisson Solvers in Probe Theory' Description:'The goal of the data is showing the structure of the ion distribution function around a negatively polarized Langmuir probe with an elliptical cross section of eccentricity ep. For ep = 0 (cylindrical probe), the orbits of the ions are regular (integrable configuration) and the boundary that separates trapped and non-trapped ions in velocity space is a smooth curve. For ep ≠ 0, some orbits are chaotic (non-integrable configuration) and the boundary that separates trapped and non-trapped ions in velocity space has a fractal structure. The data also highlights the role of the numerical parameter Ntr, which control the number of loops around the probe that an ion should perform to be considered as trapped by the Vlasov-Poisson solver.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computational Plasma Physics; Probe theory; Vlasov equation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Limitations of Stationary Vlasov-Poisson Solvers in Probe Theory' Description:'The goal of the data is showing the structure of the ion distribution function around a negatively polarized Langmuir probe with an elliptical cross section of eccentricity ep. For ep = 0 (cylindrical probe), the orbits of the ions are regular (integrable configuration) and the boundary that separates trapped and non-trapped ions in velocity space is a smooth curve. For ep ≠ 0, some orbits are chaotic (non-integrable configuration) and the boundary that separates trapped and non-trapped ions in velocity space has a fractal structure. The data also highlights the role of the numerical parameter Ntr, which control the number of loops around the probe that an ion should perform to be considered as trapped by the Vlasov-Poisson solver.' Subject:'Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The goal of the data is showing the structure of the ion distribution function around a negatively polarized Langmuir probe with an elliptical cross section of eccentricity ep. For ep = 0 (cylindrical probe), the orbits of the ions are regular (integrable configuration) and the boundary that separates trapped and non-trapped ions in velocity space is a smooth curve. For ep ≠ 0, some orbits are chaotic (non-integrable configuration) and the boundary that separates trapped and non-trapped ions in velocity space has a fractal structure. The data also highlights the role of the numerical parameter Ntr, which control the number of loops around the probe that an ion should perform to be considered as trapped by the Vlasov-Poisson solver.","Subject":"Mathematical Sciences","Keywords":"Computational Plasma Physics; Probe theory; Vlasov equation"},{"pid":"doi:10.34725/DVN/DIWHD8","Title":"R Scripts for Cleaning and Documentation and Report for the farm data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'R Scripts for Cleaning and Documentation and Report for the farm data' Description:'R Scripts for Cleaning and Documentation and Report for the farm data' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Data wrangling; R programming; Tree diversity analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'R Scripts for Cleaning and Documentation and Report for the farm data' Description:'R Scripts for Cleaning and Documentation and Report for the farm data' Subject:'Agricultural Sciences; Mathematical Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"R Scripts for Cleaning and Documentation and Report for the farm data","Subject":" Mathematical Sciences","Keywords":"Data wrangling; R programming; Tree diversity analysis"},{"pid":"doi:10.34894/6DCACQ","Title":"Evaluating Registered Reports with P-curves","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Evaluating Registered Reports with P-curves' Description:'Research project on Registered Reports, aiming to evaluate their evidential value with the help of p curves. Is the evidential value from Registered better than from regular publications.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Evidential value; P-curves; P-hacking; Registered reports; Reporting bias+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Evaluating Registered Reports with P-curves' Description:'Research project on Registered Reports, aiming to evaluate their evidential value with the help of p curves. Is the evidential value from Registered better than from regular publications.' Subject:'Mathematical Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research project on Registered Reports, aiming to evaluate their evidential value with the help of p curves. Is the evidential value from Registered better than from regular publications.","Subject":"Mathematical Sciences","Keywords":"Evidential value; P-curves; P-hacking; Registered reports; Reporting bias"},{"pid":"doi:10.34894/CW7PAH","Title":"More than a million Android Apps with Two Privacy Scores","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'More than a million Android Apps with Two Privacy Scores' Description:'This data set contains meta data about more than a million third-party Android application that were collected from the Google Play store between 2017 and 2019. Two privacy scores were calculated for each application based on: permission requests, broadcast receivers, and user's privacy preferences. The scores also depend on other applications in the app's category. The scores were calculated based on two published formulas. The first fomulas was proposed by Mohsel et al. and published in TrustCom '18, 'Countering intrusiveness using new security-centric ranking algorithm built on top of elasticsearch'. The second formula was published in SPSM '16 Taylor, and Martinovic, 'SecuRank: Starving Permission-Hungry Apps Using Contextual Permission Analysis's' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Android, third-party, privacy, score+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'More than a million Android Apps with Two Privacy Scores' Description:'This data set contains meta data about more than a million third-party Android application that were collected from the Google Play store between 2017 and 2019. Two privacy scores were calculated for each application based on: permission requests, broadcast receivers, and user's privacy preferences. The scores also depend on other applications in the app's category. The scores were calculated based on two published formulas. The first fomulas was proposed by Mohsel et al. and published in TrustCom '18, 'Countering intrusiveness using new security-centric ranking algorithm built on top of elasticsearch'. The second formula was published in SPSM '16 Taylor, and Martinovic, 'SecuRank: Starving Permission-Hungry Apps Using Contextual Permission Analysis's' Subject:'Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains meta data about more than a million third-party Android application that were collected from the Google Play store between 2017 and 2019. Two privacy scores were calculated for each application based on: permission requests, broadcast receivers, and user's privacy preferences. The scores also depend on other applications in the app's category. The scores were calculated based on two published formulas. The first fomulas was proposed by Mohsel et al. and published in TrustCom '18, 'Countering intrusiveness using new security-centric ranking algorithm built on top of elasticsearch'. The second formula was published in SPSM '16 Taylor, and Martinovic, 'SecuRank: Starving Permission-Hungry Apps Using Contextual Permission Analysis's","Subject":" Mathematical Sciences","Keywords":"Android, third-party, privacy, score"},{"pid":"doi:10.34894/L0ETYD","Title":"Replication Data for: A simple spatially explicit neutral model explains range size distribution of reef fishes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A simple spatially explicit neutral model explains range size distribution of reef fishes' Description:'Data on range sizes and dispersal related traits for reef associated fishes of the Tropical Eastern Pacific (TEP).Information about the methodology and a detailed description of the study can be found in the associated paper.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {dispersal; neutral model; range size; range size distribution; Reef-associated fishes; reef fishes; spatially explicit; Tropical Eastern Pacific+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A simple spatially explicit neutral model explains range size distribution of reef fishes' Description:'Data on range sizes and dispersal related traits for reef associated fishes of the Tropical Eastern Pacific (TEP).Information about the methodology and a detailed description of the study can be found in the associated paper.' Subject:'Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data on range sizes and dispersal related traits for reef associated fishes of the Tropical Eastern Pacific (TEP).Information about the methodology and a detailed description of the study can be found in the associated paper.","Subject":" Mathematical Sciences","Keywords":"dispersal; neutral model; range size; range size distribution; Reef-associated fishes; reef fishes; spatially explicit; Tropical Eastern Pacific"},{"pid":"doi:10.34894/MDO1AW","Title":"Replication Data for: The dynamics underlying the rise of star performers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The dynamics underlying the rise of star performers' Description:'In the article connected to this data set, we propose that star performers' abilities develop according to a multi-dimensional, multiplicative and dynamical process. Based on existing literature, we defined a dynamic network model, including different parameters functioning as enhancers or inhibitors of star performance. The enhancers were multiplicity of productivity, monopolistic productivity, job autonomy, and job complexity, whereas productivity ceiling was an inhibitor. These enhancers and inhibitors were expected to influence the tail-heaviness of the performance distribution. We therefore simulated several samples of performers, thereby including the assumed enhancers and inhibitors in the dynamic networks, and compared their tail-heaviness. Results showed that the dynamic network model resulted in heavier and lighter tail distributions, when including the enhancer- and inhibitor-parameters, respectively. In this data set we included the scripts of the dynamic network model with the different parameter settings. We also included the data of the model simulations, as well as the tests based on the L-moments analysis.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Talent development, Productivity, Dynamical System, Network models, Simulation, L-moments+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The dynamics underlying the rise of star performers' Description:'In the article connected to this data set, we propose that star performers' abilities develop according to a multi-dimensional, multiplicative and dynamical process. Based on existing literature, we defined a dynamic network model, including different parameters functioning as enhancers or inhibitors of star performance. The enhancers were multiplicity of productivity, monopolistic productivity, job autonomy, and job complexity, whereas productivity ceiling was an inhibitor. These enhancers and inhibitors were expected to influence the tail-heaviness of the performance distribution. We therefore simulated several samples of performers, thereby including the assumed enhancers and inhibitors in the dynamic networks, and compared their tail-heaviness. Results showed that the dynamic network model resulted in heavier and lighter tail distributions, when including the enhancer- and inhibitor-parameters, respectively. In this data set we included the scripts of the dynamic network model with the different parameter settings. We also included the data of the model simulations, as well as the tests based on the L-moments analysis.' Subject:'Arts and Humanities; Computer and Information Science; Mathematical Sciences; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In the article connected to this data set, we propose that star performers' abilities develop according to a multi-dimensional, multiplicative and dynamical process. Based on existing literature, we defined a dynamic network model, including different parameters functioning as enhancers or inhibitors of star performance. The enhancers were multiplicity of productivity, monopolistic productivity, job autonomy, and job complexity, whereas productivity ceiling was an inhibitor. These enhancers and inhibitors were expected to influence the tail-heaviness of the performance distribution. We therefore simulated several samples of performers, thereby including the assumed enhancers and inhibitors in the dynamic networks, and compared their tail-heaviness. Results showed that the dynamic network model resulted in heavier and lighter tail distributions, when including the enhancer- and inhibitor-parameters, respectively. In this data set we included the scripts of the dynamic network model with the different parameter settings. We also included the data of the model simulations, as well as the tests based on the L-moments analysis.","Subject":" Mathematical Sciences","Keywords":"Talent development, Productivity, Dynamical System, Network models, Simulation, L-moments"},{"pid":"doi:10.34894/NSJCSB","Title":"Replication Data for: Wolves and tree logs: Landscape-scale and fine-scale risk factors interactively influence tree regeneration","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Wolves and tree logs: Landscape-scale and fine-scale risk factors interactively influence tree regeneration' Description:'This dataset contains all data used for the paper Van Ginkel et al, 2018, Ecosystems, and is organised in three zipped folders. The metadata file describes all abbreviations used in the data files:Van-Ginkel-etal_2018_Ecosystems_RAW_DataVan-Ginkel-etal_2018_Ecosystems_PROCESSED_DataVan-Ginkel-etal_2018_Ecosystems_txt-files_R-scriptsVan-Ginkel-etal_2018_Ecosystems_Metadata.txtIf you have questions regarding this dataset or are interested in using our data, please contact one of the authors indicated.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Landscape; Tree logging; Tree regeneration; Wolves+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Wolves and tree logs: Landscape-scale and fine-scale risk factors interactively influence tree regeneration' Description:'This dataset contains all data used for the paper Van Ginkel et al, 2018, Ecosystems, and is organised in three zipped folders. The metadata file describes all abbreviations used in the data files:Van-Ginkel-etal_2018_Ecosystems_RAW_DataVan-Ginkel-etal_2018_Ecosystems_PROCESSED_DataVan-Ginkel-etal_2018_Ecosystems_txt-files_R-scriptsVan-Ginkel-etal_2018_Ecosystems_Metadata.txtIf you have questions regarding this dataset or are interested in using our data, please contact one of the authors indicated.' Subject:'Earth and Environmental Sciences; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains all data used for the paper Van Ginkel et al, 2018, Ecosystems, and is organised in three zipped folders. The metadata file describes all abbreviations used in the data files:Van-Ginkel-etal_2018_Ecosystems_RAW_DataVan-Ginkel-etal_2018_Ecosystems_PROCESSED_DataVan-Ginkel-etal_2018_Ecosystems_txt-files_R-scriptsVan-Ginkel-etal_2018_Ecosystems_Metadata.txtIf you have questions regarding this dataset or are interested in using our data, please contact one of the authors indicated.","Subject":" Mathematical Sciences","Keywords":"Landscape; Tree logging; Tree regeneration; Wolves"},{"pid":"doi:10.34894/OPQZEX","Title":"Replication Data for: 'Sensitivity analysis for measurement invariance testing'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Sensitivity analysis for measurement invariance testing'' Description:'This R script reproduces the analysis in the chapter Oberski, D. L. 'Sensitivity analysis for measurement invariance testing', In: Davidov, E., Schmidt, P., Billiet, J. & Meuleman, B. (Eds.), Cross-cultural analysis: methods and applications, Second edition. London: Routledge.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {differential item functioning; differential measurement error; item bias; measurement invariance; sensitivity analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Sensitivity analysis for measurement invariance testing'' Description:'This R script reproduces the analysis in the chapter Oberski, D. L. 'Sensitivity analysis for measurement invariance testing', In: Davidov, E., Schmidt, P., Billiet, J. & Meuleman, B. (Eds.), Cross-cultural analysis: methods and applications, Second edition. London: Routledge.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This R script reproduces the analysis in the chapter Oberski, D. L. 'Sensitivity analysis for measurement invariance testing', In: Davidov, E., Schmidt, P., Billiet, J. & Meuleman, B. (Eds.), Cross-cultural analysis: methods and applications, Second edition. London: Routledge.","Subject":"Mathematical Sciences","Keywords":"differential item functioning; differential measurement error; item bias; measurement invariance; sensitivity analysis"},{"pid":"doi:10.34894/RNZI0A","Title":"Database for 'The impact of amino acids on postprandial glucose and insulin kinetics in humans: a quantitative overview'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Database for 'The impact of amino acids on postprandial glucose and insulin kinetics in humans: a quantitative overview'' Description:'Different amino acids (AAs) may exert distinct effects on postprandial glucose and insulin concentrations. A quantitative comparison of the effects of AAs on glucose and insulin kinetics in humans is currently lacking. PubMed was queried to identify intervention studies reporting glucose and insulin concentrations after acute ingestion and/or intravenous infusion of AAs in healthy adults and those living with obesity and/or type 2 diabetes (T2DM). The systematic literature search identified 55 studies that examined the effects of L-leucine, L-isoleucine, L-alanine, L-glutamine, L-arginine, L-lysine, glycine, L-proline, L-phenylalanine, L-glutamate, branched-chain AAs (i.e., L-leucine, L-isoleucine, and L-valine), and multiple individual L-AAs on glucose and insulin concentrations. Oral ingestion of most individual AAs induced an insulin response but did not alter glucose concentrations in healthy participants. Specific AAs (i.e., leucine and isoleucine) co-ingested with glucose exerted a synergistic effect on the postprandial insulin response and attenuated the glucose response compared to glucose intake alone in healthy participants. Oral AA ingestion as well as intravenous AA infusion was able to stimulate an insulin response and decrease glucose concentrations in T2DM and obese individuals. The extracted information is publicly available and can serve multiple purposes such as computational modeling.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Amino acids; Glucose homeostasis; Kinetics; Time series data+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Database for 'The impact of amino acids on postprandial glucose and insulin kinetics in humans: a quantitative overview'' Description:'Different amino acids (AAs) may exert distinct effects on postprandial glucose and insulin concentrations. A quantitative comparison of the effects of AAs on glucose and insulin kinetics in humans is currently lacking. PubMed was queried to identify intervention studies reporting glucose and insulin concentrations after acute ingestion and/or intravenous infusion of AAs in healthy adults and those living with obesity and/or type 2 diabetes (T2DM). The systematic literature search identified 55 studies that examined the effects of L-leucine, L-isoleucine, L-alanine, L-glutamine, L-arginine, L-lysine, glycine, L-proline, L-phenylalanine, L-glutamate, branched-chain AAs (i.e., L-leucine, L-isoleucine, and L-valine), and multiple individual L-AAs on glucose and insulin concentrations. Oral ingestion of most individual AAs induced an insulin response but did not alter glucose concentrations in healthy participants. Specific AAs (i.e., leucine and isoleucine) co-ingested with glucose exerted a synergistic effect on the postprandial insulin response and attenuated the glucose response compared to glucose intake alone in healthy participants. Oral AA ingestion as well as intravenous AA infusion was able to stimulate an insulin response and decrease glucose concentrations in T2DM and obese individuals. The extracted information is publicly available and can serve multiple purposes such as computational modeling.' Subject:'Engineering; Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Different amino acids (AAs) may exert distinct effects on postprandial glucose and insulin concentrations. A quantitative comparison of the effects of AAs on glucose and insulin kinetics in humans is currently lacking. PubMed was queried to identify intervention studies reporting glucose and insulin concentrations after acute ingestion and/or intravenous infusion of AAs in healthy adults and those living with obesity and/or type 2 diabetes (T2DM). The systematic literature search identified 55 studies that examined the effects of L-leucine, L-isoleucine, L-alanine, L-glutamine, L-arginine, L-lysine, glycine, L-proline, L-phenylalanine, L-glutamate, branched-chain AAs (i.e., L-leucine, L-isoleucine, and L-valine), and multiple individual L-AAs on glucose and insulin concentrations. Oral ingestion of most individual AAs induced an insulin response but did not alter glucose concentrations in healthy participants. Specific AAs (i.e., leucine and isoleucine) co-ingested with glucose exerted a synergistic effect on the postprandial insulin response and attenuated the glucose response compared to glucose intake alone in healthy participants. Oral AA ingestion as well as intravenous AA infusion was able to stimulate an insulin response and decrease glucose concentrations in T2DM and obese individuals. The extracted information is publicly available and can serve multiple purposes such as computational modeling.","Subject":" Mathematical Sciences","Keywords":"Amino acids; Glucose homeostasis; Kinetics; Time series data"},{"pid":"doi:10.34894/TR6B0W","Title":"PATSTAT2019a - All Trajectories","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'PATSTAT2019a - All Trajectories' Description:'Dataset contains All Technological Trajectories defined using Main Path Analysis' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Diffusion Processes; Intellectual Property; Technological Change+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'PATSTAT2019a - All Trajectories' Description:'Dataset contains All Technological Trajectories defined using Main Path Analysis' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset contains All Technological Trajectories defined using Main Path Analysis","Subject":"Mathematical Sciences","Keywords":"Diffusion Processes; Intellectual Property; Technological Change"},{"pid":"doi:10.34894/U9L9NV","Title":"Replication Data for: Predicting measurement error variance in social surveys","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Predicting measurement error variance in social surveys' Description:'Social science commonly studies relationships among variables by employing survey questions. Answers to these questions will contain some degree of measurement error, distorting the relationships of interest. Such distortions can be removed by standard statistical methods, when these are provided knowledge of a question’s measurement error variance. However, acquiring this information routinely necessitates additional experimentation, which is infeasible in practice. We use three decades’ worth of survey experiments combined with machine learning methods to show that survey measurement error variance can be predicted from the way a question was asked. By predicting experimentally obtained estimates of survey measurement error variance from question characteristics, we enable researchers to obtain estimates of the extent of measurement error in a survey question without requiring additional data collection. Our results suggest only some commonly accepted best practices in survey design have a noticeable impact on study quality, and that predicting measurement error variance is a useful approach to removing this impact in future social surveys.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computational social science; machine learning; measurement error; method effect; random forest; reliability; survey; survey methodology; validity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Predicting measurement error variance in social surveys' Description:'Social science commonly studies relationships among variables by employing survey questions. Answers to these questions will contain some degree of measurement error, distorting the relationships of interest. Such distortions can be removed by standard statistical methods, when these are provided knowledge of a question’s measurement error variance. However, acquiring this information routinely necessitates additional experimentation, which is infeasible in practice. We use three decades’ worth of survey experiments combined with machine learning methods to show that survey measurement error variance can be predicted from the way a question was asked. By predicting experimentally obtained estimates of survey measurement error variance from question characteristics, we enable researchers to obtain estimates of the extent of measurement error in a survey question without requiring additional data collection. Our results suggest only some commonly accepted best practices in survey design have a noticeable impact on study quality, and that predicting measurement error variance is a useful approach to removing this impact in future social surveys.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Social science commonly studies relationships among variables by employing survey questions. Answers to these questions will contain some degree of measurement error, distorting the relationships of interest. Such distortions can be removed by standard statistical methods, when these are provided knowledge of a question’s measurement error variance. However, acquiring this information routinely necessitates additional experimentation, which is infeasible in practice. We use three decades’ worth of survey experiments combined with machine learning methods to show that survey measurement error variance can be predicted from the way a question was asked. By predicting experimentally obtained estimates of survey measurement error variance from question characteristics, we enable researchers to obtain estimates of the extent of measurement error in a survey question without requiring additional data collection. Our results suggest only some commonly accepted best practices in survey design have a noticeable impact on study quality, and that predicting measurement error variance is a useful approach to removing this impact in future social surveys.","Subject":"Mathematical Sciences","Keywords":"computational social science; machine learning; measurement error; method effect; random forest; reliability; survey; survey methodology; validity"},{"pid":"doi:10.34894/ZEDHE0","Title":"COMSOL dataset for the paper 'Between science and art: thin sound absorbers inspired by Slavic ornaments' by A.O. Krushynska","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'COMSOL dataset for the paper 'Between science and art: thin sound absorbers inspired by Slavic ornaments' by A.O. Krushynska' Description:'This dataset contains Comsol models and data used to generate the results discussed in the paper 'Between science and art: thin sound absorbers inspired by Slavic ornaments' by A.O. Krushynska' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Acoustics; Sound+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'COMSOL dataset for the paper 'Between science and art: thin sound absorbers inspired by Slavic ornaments' by A.O. Krushynska' Description:'This dataset contains Comsol models and data used to generate the results discussed in the paper 'Between science and art: thin sound absorbers inspired by Slavic ornaments' by A.O. Krushynska' Subject:'Engineering; Mathematical Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains Comsol models and data used to generate the results discussed in the paper 'Between science and art: thin sound absorbers inspired by Slavic ornaments' by A.O. Krushynska","Subject":" Mathematical Sciences","Keywords":"Acoustics; Sound"},{"pid":"doi:10.7910/DVN/2MDCH1","Title":"Replication Data for Evaluation of Family Health Program in Brazil","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Evaluation of Family Health Program in Brazil' Description:'Replication Data for Analyses for Application (2) Primary Health Care and Avoidable Hospitalizations in manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Causal effects; Difference-in-difference+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Evaluation of Family Health Program in Brazil' Description:'Replication Data for Analyses for Application (2) Primary Health Care and Avoidable Hospitalizations in manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for Analyses for Application (2) Primary Health Care and Avoidable Hospitalizations in manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'","Subject":"Mathematical Sciences","Keywords":"Causal effects; Difference-in-difference"},{"pid":"doi:10.7910/DVN/3EKRSI","Title":"Replication Data for: External Validity: Framework, Design, and Analysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: External Validity: Framework, Design, and Analysis' Description:'This file contains replication data and files for 'External Validity: Framework, Design, and Analysis'. Additionally, it contains the an online supplementary materials with analytical derivations, additional simulation results, supporting information for the literature review, and numerical results for all figures in the main manuscript an supplementary materials.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Causal inference, External validity, Generalization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: External Validity: Framework, Design, and Analysis' Description:'This file contains replication data and files for 'External Validity: Framework, Design, and Analysis'. Additionally, it contains the an online supplementary materials with analytical derivations, additional simulation results, supporting information for the literature review, and numerical results for all figures in the main manuscript an supplementary materials.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This file contains replication data and files for 'External Validity: Framework, Design, and Analysis'. Additionally, it contains the an online supplementary materials with analytical derivations, additional simulation results, supporting information for the literature review, and numerical results for all figures in the main manuscript an supplementary materials.","Subject":"Mathematical Sciences","Keywords":"Causal inference, External validity, Generalization"},{"pid":"doi:10.7910/DVN/3PBUKS","Title":"R code for: Precipitation Scaling with Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'R code for: Precipitation Scaling with Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity' Description:'Citation: Najibi, N., Mukhopadhyay, S. and Steinschneider, S., 2022. Precipitation Scaling With Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity. Geophysical Research Letters, 49(8), p.e2021GL097100.https://doi.org/10.1029/2021GL097100All rights reserved: Nasser Najibi, Department of Biological and Environmental Engineering, Cornell University, Ithaca 14853, NY, United States, nn289@cornell.edu' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {bayesian, precipitation, temperature, weather regime, climate+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'R code for: Precipitation Scaling with Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity' Description:'Citation: Najibi, N., Mukhopadhyay, S. and Steinschneider, S., 2022. Precipitation Scaling With Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity. Geophysical Research Letters, 49(8), p.e2021GL097100.https://doi.org/10.1029/2021GL097100All rights reserved: Nasser Najibi, Department of Biological and Environmental Engineering, Cornell University, Ithaca 14853, NY, United States, nn289@cornell.edu' Subject:'Agricultural Sciences; Computer and Information Science; Earth and Environmental Sciences; Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Citation: Najibi, N., Mukhopadhyay, S. and Steinschneider, S., 2022. Precipitation Scaling With Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity. Geophysical Research Letters, 49(8), p.e2021GL097100.https://doi.org/10.1029/2021GL097100All rights reserved: Nasser Najibi, Department of Biological and Environmental Engineering, Cornell University, Ithaca 14853, NY, United States, nn289@cornell.edu","Subject":" Mathematical Sciences","Keywords":"bayesian, precipitation, temperature, weather regime, climate"},{"pid":"doi:10.7910/DVN/3RRNYO","Title":"Steady BEM Data using B-GO code for DanAero Turbine with 3D Hybrid CFD Polar","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Steady BEM Data using B-GO code for DanAero Turbine with 3D Hybrid CFD Polar' Description:'This dataset represents a steady state BEM (Blade Element Momentum) calculations for the DanAero 2.3 MW turbine [1] computed using B-GO code [2,3]. The calculations were carried out by adopting hybrid 3D CFD polar input according to [4] to ensure the best accuracy in off-design conditions. The calculations cover the following range of parameters:wind speed: [3,20]pitch angle: [-6,+6]rotational speed: [12.3, 15.8]. The data mainly reports the calculated rotor power and thrust for the aforementioned conditions. The calculated dataset is freely used and available to public.[1] H.A. Madsen, C. Bak, U. Paulsen, M. Gaunaa, P. Fuglsang, J. Romblad, N. Olesen, P. Enevoldsen, J. Laursen, L. Jensen. 'The DAN-AERO MW experiments: final report.' Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi, 2010. orbit. dtu. dk. Accessed 13 November 2017 [2] G. Bangga. “Comparison of blade element method and CFD simulations of a 10 MW wind turbine.” Fluids 3 (4), 73. 2018. https://doi.org/10.3390/fluids3040073[3] G. Bangga and T. Lutz. “Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data.” Energy 223, 120076, 2021. https://doi.org/10.1016/j.energy.2021.120076[4] G. Bangga. Wind Turbine Aerodynamics Modeling Using CFD Approaches. AIP Publishing LLC, Melville, New York, 2022. https://doi.org/10.1063/9780735424111' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {BEM; calculated performance data; engineering model; Wind turbine+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Steady BEM Data using B-GO code for DanAero Turbine with 3D Hybrid CFD Polar' Description:'This dataset represents a steady state BEM (Blade Element Momentum) calculations for the DanAero 2.3 MW turbine [1] computed using B-GO code [2,3]. The calculations were carried out by adopting hybrid 3D CFD polar input according to [4] to ensure the best accuracy in off-design conditions. The calculations cover the following range of parameters:wind speed: [3,20]pitch angle: [-6,+6]rotational speed: [12.3, 15.8]. The data mainly reports the calculated rotor power and thrust for the aforementioned conditions. The calculated dataset is freely used and available to public.[1] H.A. Madsen, C. Bak, U. Paulsen, M. Gaunaa, P. Fuglsang, J. Romblad, N. Olesen, P. Enevoldsen, J. Laursen, L. Jensen. 'The DAN-AERO MW experiments: final report.' Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi, 2010. orbit. dtu. dk. Accessed 13 November 2017 [2] G. Bangga. “Comparison of blade element method and CFD simulations of a 10 MW wind turbine.” Fluids 3 (4), 73. 2018. https://doi.org/10.3390/fluids3040073[3] G. Bangga and T. Lutz. “Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data.” Energy 223, 120076, 2021. https://doi.org/10.1016/j.energy.2021.120076[4] G. Bangga. Wind Turbine Aerodynamics Modeling Using CFD Approaches. AIP Publishing LLC, Melville, New York, 2022. https://doi.org/10.1063/9780735424111' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset represents a steady state BEM (Blade Element Momentum) calculations for the DanAero 2.3 MW turbine [1] computed using B-GO code [2,3]. The calculations were carried out by adopting hybrid 3D CFD polar input according to [4] to ensure the best accuracy in off-design conditions. The calculations cover the following range of parameters:wind speed: [3,20]pitch angle: [-6,+6]rotational speed: [12.3, 15.8]. The data mainly reports the calculated rotor power and thrust for the aforementioned conditions. The calculated dataset is freely used and available to public.[1] H.A. Madsen, C. Bak, U. Paulsen, M. Gaunaa, P. Fuglsang, J. Romblad, N. Olesen, P. Enevoldsen, J. Laursen, L. Jensen. 'The DAN-AERO MW experiments: final report.' Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi, 2010. orbit. dtu. dk. Accessed 13 November 2017 [2] G. Bangga. “Comparison of blade element method and CFD simulations of a 10 MW wind turbine.” Fluids 3 (4), 73. 2018. https://doi.org/10.3390/fluids3040073[3] G. Bangga and T. Lutz. “Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data.” Energy 223, 120076, 2021. https://doi.org/10.1016/j.energy.2021.120076[4] G. Bangga. Wind Turbine Aerodynamics Modeling Using CFD Approaches. AIP Publishing LLC, Melville, New York, 2022. https://doi.org/10.1063/9780735424111","Subject":" Mathematical Sciences","Keywords":"BEM; calculated performance data; engineering model; Wind turbine"},{"pid":"doi:10.7910/DVN/4DBD3S","Title":"Cobertura territorial da Atenção Básica na cidade de São Paulo","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cobertura territorial da Atenção Básica na cidade de São Paulo' Description:'Este conjunto de dados consiste em um arquivo em formato shape (.shp) com a delimitação territorial da área de cobertura das Unidades Básicas de Saúde (UBS) localizadas na cidade de São Paulo, de modo que permite caracterizar a territorialização da atenção básica em saúde. Os dados foram obtidos por meio de pedido de acesso à informação feito à Secretaria Municipal de Saṹde da Prefeitura de São Paulo.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Basic Health Unities+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cobertura territorial da Atenção Básica na cidade de São Paulo' Description:'Este conjunto de dados consiste em um arquivo em formato shape (.shp) com a delimitação territorial da área de cobertura das Unidades Básicas de Saúde (UBS) localizadas na cidade de São Paulo, de modo que permite caracterizar a territorialização da atenção básica em saúde. Os dados foram obtidos por meio de pedido de acesso à informação feito à Secretaria Municipal de Saṹde da Prefeitura de São Paulo.' Subject:'Arts and Humanities; Business and Management; Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Este conjunto de dados consiste em um arquivo em formato shape (.shp) com a delimitação territorial da área de cobertura das Unidades Básicas de Saúde (UBS) localizadas na cidade de São Paulo, de modo que permite caracterizar a territorialização da atenção básica em saúde. Os dados foram obtidos por meio de pedido de acesso à informação feito à Secretaria Municipal de Saṹde da Prefeitura de São Paulo.","Subject":" Mathematical Sciences","Keywords":"Basic Health Unities"},{"pid":"doi:10.7910/DVN/5ELTXC","Title":"Experiment 2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Experiment 2' Description:'Data obtained from order learning experiment #2.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {order memory+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Experiment 2' Description:'Data obtained from order learning experiment #2.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data obtained from order learning experiment #2.","Subject":"Mathematical Sciences","Keywords":"order memory"},{"pid":"doi:10.7910/DVN/5XYO7O","Title":"Replication Data for Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds' Description:'I propose a new model, ordered Beta regression, for continuous distributions with both lower and upper bounds, such as data arising from survey slider scales, visual analog scales, and dose-response relationships. This model employs the cutpoint technique popularized by ordered logit to fit a single linear model to both continuous (0,1) and degenerate [0,1] responses. The model can be estimated with or without observations at the bounds, and as such is a general solution for this type of data. Employing a Monte Carlo simulation, I show that the model is noticeably more efficient than ordinary least squares regression, zero-and-one-inflated Beta regression, re-scaled Beta regression and fractional logit while fully capturing nuances in the outcome. I apply the model to a replication of the Aidt and Jensen (2012) study of suffrage extensions in Europe. The model can be fit with the R package `ordbetareg` to facilitate hierarchical, dynamic and multivariate modeling.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {beta regression+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds' Description:'I propose a new model, ordered Beta regression, for continuous distributions with both lower and upper bounds, such as data arising from survey slider scales, visual analog scales, and dose-response relationships. This model employs the cutpoint technique popularized by ordered logit to fit a single linear model to both continuous (0,1) and degenerate [0,1] responses. The model can be estimated with or without observations at the bounds, and as such is a general solution for this type of data. Employing a Monte Carlo simulation, I show that the model is noticeably more efficient than ordinary least squares regression, zero-and-one-inflated Beta regression, re-scaled Beta regression and fractional logit while fully capturing nuances in the outcome. I apply the model to a replication of the Aidt and Jensen (2012) study of suffrage extensions in Europe. The model can be fit with the R package `ordbetareg` to facilitate hierarchical, dynamic and multivariate modeling.' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"I propose a new model, ordered Beta regression, for continuous distributions with both lower and upper bounds, such as data arising from survey slider scales, visual analog scales, and dose-response relationships. This model employs the cutpoint technique popularized by ordered logit to fit a single linear model to both continuous (0,1) and degenerate [0,1] responses. The model can be estimated with or without observations at the bounds, and as such is a general solution for this type of data. Employing a Monte Carlo simulation, I show that the model is noticeably more efficient than ordinary least squares regression, zero-and-one-inflated Beta regression, re-scaled Beta regression and fractional logit while fully capturing nuances in the outcome. I apply the model to a replication of the Aidt and Jensen (2012) study of suffrage extensions in Europe. The model can be fit with the R package `ordbetareg` to facilitate hierarchical, dynamic and multivariate modeling.","Subject":"Mathematical Sciences","Keywords":"beta regression"},{"pid":"doi:10.7910/DVN/6D6OGG","Title":"Replication Data for: Optimal control in opinion dynamics models: towards a unified framework","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Optimal control in opinion dynamics models: towards a unified framework' Description:'The dataset includes replication materials (dataset files, python code, and the file 'Online Supplementary Materials.pdf') for the article entitled 'Optimal control in opinion dynamics models: towards a unified framework.'' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {mean-field approximation; opinion dynamics models; optimal control+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Optimal control in opinion dynamics models: towards a unified framework' Description:'The dataset includes replication materials (dataset files, python code, and the file 'Online Supplementary Materials.pdf') for the article entitled 'Optimal control in opinion dynamics models: towards a unified framework.'' Subject:'Mathematical Sciences; Physics; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset includes replication materials (dataset files, python code, and the file 'Online Supplementary Materials.pdf') for the article entitled 'Optimal control in opinion dynamics models: towards a unified framework.'","Subject":"Mathematical Sciences","Keywords":"mean-field approximation; opinion dynamics models; optimal control"},{"pid":"doi:10.7910/DVN/6FMTT3","Title":"Evolution of Reporting P Values in the Biomedical Literature, 1990-2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Evolution of Reporting P Values in the Biomedical Literature, 1990-2015' Description:'Original dataset from the paper :Chavalarias, D., Wallach, J.D., Li, A.H.T., Ioannidis, J.P.A., 2016. Evolution of Reporting P Values in the Biomedical Literature, 1990-2015. JAMA 315, 1141. doi:10.1001/jama.2016.1952This dataset contains 4,572,043 P values in 1,608,736 Pubmed abstracts and 3,438,299 P values in 385,393 PMC full-text articles extracted from the entire Pubmed 1990-2015 and PMC sample. The dataset of the manual analysis of 1000 abstracts and 100 full texts are also included (named Pval_April_2016.tab). ' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {P-value; Reproducibility; science dynamics; science evolution; text-mining+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Evolution of Reporting P Values in the Biomedical Literature, 1990-2015' Description:'Original dataset from the paper :Chavalarias, D., Wallach, J.D., Li, A.H.T., Ioannidis, J.P.A., 2016. Evolution of Reporting P Values in the Biomedical Literature, 1990-2015. JAMA 315, 1141. doi:10.1001/jama.2016.1952This dataset contains 4,572,043 P values in 1,608,736 Pubmed abstracts and 3,438,299 P values in 385,393 PMC full-text articles extracted from the entire Pubmed 1990-2015 and PMC sample. The dataset of the manual analysis of 1000 abstracts and 100 full texts are also included (named Pval_April_2016.tab). ' Subject:'Computer and Information Science; Mathematical Sciences; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Original dataset from the paper :Chavalarias, D., Wallach, J.D., Li, A.H.T., Ioannidis, J.P.A., 2016. Evolution of Reporting P Values in the Biomedical Literature, 1990-2015. JAMA 315, 1141. doi:10.1001/jama.2016.1952This dataset contains 4,572,043 P values in 1,608,736 Pubmed abstracts and 3,438,299 P values in 385,393 PMC full-text articles extracted from the entire Pubmed 1990-2015 and PMC sample. The dataset of the manual analysis of 1000 abstracts and 100 full texts are also included (named Pval_April_2016.tab). ","Subject":" Mathematical Sciences","Keywords":"P-value; Reproducibility; science dynamics; science evolution; text-mining"},{"pid":"doi:10.7910/DVN/76STOM","Title":"Replication Data for: Avoiding, and Learning From, Mistakes Made by Junior Scholars Teaching Political Methodology","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Avoiding, and Learning From, Mistakes Made by Junior Scholars Teaching Political Methodology' Description:'This entry contains the data and code necessary to reproduce the figures in 'Avoiding, and Learning From, Mistakes Made by Junior Scholars Teaching Political Methodology.'' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Political Methodology; Teaching+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Avoiding, and Learning From, Mistakes Made by Junior Scholars Teaching Political Methodology' Description:'This entry contains the data and code necessary to reproduce the figures in 'Avoiding, and Learning From, Mistakes Made by Junior Scholars Teaching Political Methodology.'' Subject:'Mathematical Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This entry contains the data and code necessary to reproduce the figures in 'Avoiding, and Learning From, Mistakes Made by Junior Scholars Teaching Political Methodology.'","Subject":"Mathematical Sciences","Keywords":"Political Methodology; Teaching"},{"pid":"doi:10.7910/DVN/7EMLDN","Title":"Replication Data for: How to Use Spatial Instruments","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: How to Use Spatial Instruments' Description:'These files can be used to replicate a simulation study that investigates the performance of spatial instruments, which are instrumental variables that are based on the treatment variable of other units.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Instrumental Variables; Spatial Instruments+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: How to Use Spatial Instruments' Description:'These files can be used to replicate a simulation study that investigates the performance of spatial instruments, which are instrumental variables that are based on the treatment variable of other units.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These files can be used to replicate a simulation study that investigates the performance of spatial instruments, which are instrumental variables that are based on the treatment variable of other units.","Subject":"Mathematical Sciences","Keywords":"Instrumental Variables; Spatial Instruments"},{"pid":"doi:10.7910/DVN/7P8NCV","Title":"Group Sunspot Numbers: A New Reconstruction of Sunspot Activity Variations from Historical Sunspot Recordings and with Algorithms from Machine Learning","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Group Sunspot Numbers: A New Reconstruction of Sunspot Activity Variations from Historical Sunspot Recordings and with Algorithms from Machine Learning' Description:'Recording of historical sunspots and construction of a comprehensive database are among the most sought after research activities in solar physics. Here, we revisit the issues and remaining questions on the reconstruction of the so-called Group Sunspot Numbers (GSN) that was pioneered by D. Hoyt and colleagues. We used the modern tools of Artificial Intelligence (AI) by applying various algorithms based on Machine Learning (ML) to GSN records. The goal is to offer a new vision in the reconstruction of sunspot activity variations,i.e., a Bayesian reconstruction in order to obtain a complete probabilistic GSN record from 1610 to 2020. This new GSN reconstruction is consistent with the historical GSN records. In addition, we performed a comparison between our new probabilistic GSN record and the most recent GSN reconstructions produced by several solar researchers under various assumptions and constraints. Our AI algorithms are able to reveal various new underlying patterns and channels of variations that can fully account for the complete GSN time variability, including intervals with extremely low or weak sunspot activity like the Maunder Minimum from 1645- 1715. Our results show that the GSN records are not strictly represented by the 11-yr cycles alone but that other important timescales for a fuller reconstruction of GSN activity history are the 5.5 yr, 22 yr, 30 yr, 60 yr, and 120 yr oscillations. The comprehensive GSN reconstruction by AI/ML is able to shed new insights on the nature and characteristics of not only the underlying 11-yr-like sunspot cycles but also the 22-yr Hale’s polarity cycles during the Maunder Minimum among other results previously hidden so far. In the early 1850s, Wolf multiplied his original sunspot number reconstruction by a factor of 1.25 to arrive at the canonical Wolf Sunspot Numbers (WSN). Removing this multiplicative factor, we find the GSN and WSN differ by only a few percent for the period 1700 to 1879. In a comparison to the International Sunspot Number recent recommended by Clette et al. (2014), several differences are found and discussed. More sunspot observations are still required and the paper points to observers that are not yet in the GSN database.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Group Sunspot Numbers+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Group Sunspot Numbers: A New Reconstruction of Sunspot Activity Variations from Historical Sunspot Recordings and with Algorithms from Machine Learning' Description:'Recording of historical sunspots and construction of a comprehensive database are among the most sought after research activities in solar physics. Here, we revisit the issues and remaining questions on the reconstruction of the so-called Group Sunspot Numbers (GSN) that was pioneered by D. Hoyt and colleagues. We used the modern tools of Artificial Intelligence (AI) by applying various algorithms based on Machine Learning (ML) to GSN records. The goal is to offer a new vision in the reconstruction of sunspot activity variations,i.e., a Bayesian reconstruction in order to obtain a complete probabilistic GSN record from 1610 to 2020. This new GSN reconstruction is consistent with the historical GSN records. In addition, we performed a comparison between our new probabilistic GSN record and the most recent GSN reconstructions produced by several solar researchers under various assumptions and constraints. Our AI algorithms are able to reveal various new underlying patterns and channels of variations that can fully account for the complete GSN time variability, including intervals with extremely low or weak sunspot activity like the Maunder Minimum from 1645- 1715. Our results show that the GSN records are not strictly represented by the 11-yr cycles alone but that other important timescales for a fuller reconstruction of GSN activity history are the 5.5 yr, 22 yr, 30 yr, 60 yr, and 120 yr oscillations. The comprehensive GSN reconstruction by AI/ML is able to shed new insights on the nature and characteristics of not only the underlying 11-yr-like sunspot cycles but also the 22-yr Hale’s polarity cycles during the Maunder Minimum among other results previously hidden so far. In the early 1850s, Wolf multiplied his original sunspot number reconstruction by a factor of 1.25 to arrive at the canonical Wolf Sunspot Numbers (WSN). Removing this multiplicative factor, we find the GSN and WSN differ by only a few percent for the period 1700 to 1879. In a comparison to the International Sunspot Number recent recommended by Clette et al. (2014), several differences are found and discussed. More sunspot observations are still required and the paper points to observers that are not yet in the GSN database.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Recording of historical sunspots and construction of a comprehensive database are among the most sought after research activities in solar physics. Here, we revisit the issues and remaining questions on the reconstruction of the so-called Group Sunspot Numbers (GSN) that was pioneered by D. Hoyt and colleagues. We used the modern tools of Artificial Intelligence (AI) by applying various algorithms based on Machine Learning (ML) to GSN records. The goal is to offer a new vision in the reconstruction of sunspot activity variations,i.e., a Bayesian reconstruction in order to obtain a complete probabilistic GSN record from 1610 to 2020. This new GSN reconstruction is consistent with the historical GSN records. In addition, we performed a comparison between our new probabilistic GSN record and the most recent GSN reconstructions produced by several solar researchers under various assumptions and constraints. Our AI algorithms are able to reveal various new underlying patterns and channels of variations that can fully account for the complete GSN time variability, including intervals with extremely low or weak sunspot activity like the Maunder Minimum from 1645- 1715. Our results show that the GSN records are not strictly represented by the 11-yr cycles alone but that other important timescales for a fuller reconstruction of GSN activity history are the 5.5 yr, 22 yr, 30 yr, 60 yr, and 120 yr oscillations. The comprehensive GSN reconstruction by AI/ML is able to shed new insights on the nature and characteristics of not only the underlying 11-yr-like sunspot cycles but also the 22-yr Hale’s polarity cycles during the Maunder Minimum among other results previously hidden so far. In the early 1850s, Wolf multiplied his original sunspot number reconstruction by a factor of 1.25 to arrive at the canonical Wolf Sunspot Numbers (WSN). Removing this multiplicative factor, we find the GSN and WSN differ by only a few percent for the period 1700 to 1879. In a comparison to the International Sunspot Number recent recommended by Clette et al. (2014), several differences are found and discussed. More sunspot observations are still required and the paper points to observers that are not yet in the GSN database.","Subject":" Mathematical Sciences","Keywords":"Group Sunspot Numbers"},{"pid":"doi:10.7910/DVN/7XTREY","Title":"Replication Data for: A new entropy-variable-based discretization method for minimum entropy moment approximations of linear kinetic equations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A new entropy-variable-based discretization method for minimum entropy moment approximations of linear kinetic equations' Description:'Contains the results used in the paper and the code to reproduce the results.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {kinetic transport equation; minimum entropy; model order reduction; moment models; realizability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A new entropy-variable-based discretization method for minimum entropy moment approximations of linear kinetic equations' Description:'Contains the results used in the paper and the code to reproduce the results.' Subject:'Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Contains the results used in the paper and the code to reproduce the results.","Subject":"Mathematical Sciences","Keywords":"kinetic transport equation; minimum entropy; model order reduction; moment models; realizability"},{"pid":"doi:10.7910/DVN/8HAJFE","Title":"City-scale car traffic and parking density maps from Uber Movement travel time data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'City-scale car traffic and parking density maps from Uber Movement travel time data' Description:'Aryandoust, A., van Vliet, O. & Patt, A. City-scale car traffic and parking density maps from Uber Movement travel time data. Scientific Data 6, 158 (2019). https://doi.org/10.1038/s41597-019-0159-6' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Amsterdam; Bangalore; Bogota; Boston; Brisbane; Brussels; Cairo; Cincinnati; Hidden Markov Model; Hyderabad; Johannesburg and Pretoria; Leeds; London; Los Angeles; Manchester; Melbourne; Miami; Mumbai; Nairobi; New Delhi; Orlando; Paris; Parking density maps; Perth; Pittsburgh; San Francisco; Santiago de Chile; Sao Paulo; Seattle; Spatio-temporal car locations; Sydney; Taipei; Tampa Bay; Toronto; Uber Movement; Washington DC; West Midlands UK+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'City-scale car traffic and parking density maps from Uber Movement travel time data' Description:'Aryandoust, A., van Vliet, O. & Patt, A. City-scale car traffic and parking density maps from Uber Movement travel time data. Scientific Data 6, 158 (2019). https://doi.org/10.1038/s41597-019-0159-6' Subject:'Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Aryandoust, A., van Vliet, O. & Patt, A. City-scale car traffic and parking density maps from Uber Movement travel time data. Scientific Data 6, 158 (2019). https://doi.org/10.1038/s41597-019-0159-6","Subject":" Mathematical Sciences","Keywords":"Amsterdam; Bangalore; Bogota; Boston; Brisbane; Brussels; Cairo; Cincinnati; Hidden Markov Model; Hyderabad; Johannesburg and Pretoria; Leeds; London; Los Angeles; Manchester; Melbourne; Miami; Mumbai; Nairobi; New Delhi; Orlando; Paris; Parking density maps; Perth; Pittsburgh; San Francisco; Santiago de Chile; Sao Paulo; Seattle; Spatio-temporal car locations; Sydney; Taipei; Tampa Bay; Toronto; Uber Movement; Washington DC; West Midlands UK"},{"pid":"doi:10.7910/DVN/8NNBDZ","Title":"Spectral libraries for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Spectral libraries for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data'' Description:'These are the gypsum, carbonate, nontronite, montmorillonite, and kaolinite spectral libraries used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402The spectra in these libraries were all measured in the NASA Reflectance Experiment Laboratory (RELAB; http://www.planetary.brown.edu/relabdocs/relab.htm). They were created by extracting all spectra from the RELAB database that were associated with each specific mineral name. For example, if the word 'gypsum' was in the RELAB sample description, the spectrum of that sample would be extracted and placed in the gypsum spectral library. This means that the libraries include many spectral mixtures, as well as pure mineral endmembers. They are not curated by-eye. They were resampled to the spectral sampling interval of the Headwall hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402. They are available as .txt files and .sli files (ENVI spectral libraries with associated .hdr files).Use the spectral ID unique to each spectrum to find information on the samples in the RELAB database hosted on the PDS Geosciences Node (https://pds-speclib.rsl.wustl.edu/search.aspx?catalog=RELAB). RELAB data are archived at the PDS Geosciences Node and can be accessed at: https://pds-geosciences.wustl.edu/spectrallibrary/default.htm. Thanks to Takahiro Hiroi and Ralph Milliken for operating RELAB. Copyright 2014, Brown University, Providence, RI.; All Rights ReservedPermission to use, copy, modify, and distribute any of these data and their documentation for any purpose other than its incorporation into a commercial product is hereby granted without fee, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Brown University not be used in advertising or publicity pertaining to distribution of the data without specific, written prior permission.BROWN UNIVERSITY DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE DATA, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THESE DATA.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {VNIR spectral library, spectral library, spectral libraries, VNIR spectral libraries, gypsum, montmorillonite, kaolinite, nontronite, carbonate, calcite, siderite, magnesite, dolomite, MGS-1, Mars Global Simulant, spectra, library, Mars, hyperspectral image+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Spectral libraries for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data'' Description:'These are the gypsum, carbonate, nontronite, montmorillonite, and kaolinite spectral libraries used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402The spectra in these libraries were all measured in the NASA Reflectance Experiment Laboratory (RELAB; http://www.planetary.brown.edu/relabdocs/relab.htm). They were created by extracting all spectra from the RELAB database that were associated with each specific mineral name. For example, if the word 'gypsum' was in the RELAB sample description, the spectrum of that sample would be extracted and placed in the gypsum spectral library. This means that the libraries include many spectral mixtures, as well as pure mineral endmembers. They are not curated by-eye. They were resampled to the spectral sampling interval of the Headwall hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402. They are available as .txt files and .sli files (ENVI spectral libraries with associated .hdr files).Use the spectral ID unique to each spectrum to find information on the samples in the RELAB database hosted on the PDS Geosciences Node (https://pds-speclib.rsl.wustl.edu/search.aspx?catalog=RELAB). RELAB data are archived at the PDS Geosciences Node and can be accessed at: https://pds-geosciences.wustl.edu/spectrallibrary/default.htm. Thanks to Takahiro Hiroi and Ralph Milliken for operating RELAB. Copyright 2014, Brown University, Providence, RI.; All Rights ReservedPermission to use, copy, modify, and distribute any of these data and their documentation for any purpose other than its incorporation into a commercial product is hereby granted without fee, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Brown University not be used in advertising or publicity pertaining to distribution of the data without specific, written prior permission.BROWN UNIVERSITY DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE DATA, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THESE DATA.' Subject:'Agricultural Sciences; Astronomy and Astrophysics; Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering; Mathematical Sciences; Other; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are the gypsum, carbonate, nontronite, montmorillonite, and kaolinite spectral libraries used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402The spectra in these libraries were all measured in the NASA Reflectance Experiment Laboratory (RELAB; http://www.planetary.brown.edu/relabdocs/relab.htm). They were created by extracting all spectra from the RELAB database that were associated with each specific mineral name. For example, if the word 'gypsum' was in the RELAB sample description, the spectrum of that sample would be extracted and placed in the gypsum spectral library. This means that the libraries include many spectral mixtures, as well as pure mineral endmembers. They are not curated by-eye. They were resampled to the spectral sampling interval of the Headwall hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus doi.org/10.1016/j.icarus.2021.114402. They are available as .txt files and .sli files (ENVI spectral libraries with associated .hdr files).Use the spectral ID unique to each spectrum to find information on the samples in the RELAB database hosted on the PDS Geosciences Node (https://pds-speclib.rsl.wustl.edu/search.aspx?catalog=RELAB). RELAB data are archived at the PDS Geosciences Node and can be accessed at: https://pds-geosciences.wustl.edu/spectrallibrary/default.htm. Thanks to Takahiro Hiroi and Ralph Milliken for operating RELAB. Copyright 2014, Brown University, Providence, RI.; All Rights ReservedPermission to use, copy, modify, and distribute any of these data and their documentation for any purpose other than its incorporation into a commercial product is hereby granted without fee, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Brown University not be used in advertising or publicity pertaining to distribution of the data without specific, written prior permission.BROWN UNIVERSITY DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE DATA, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THESE DATA.","Subject":" Mathematical Sciences","Keywords":"VNIR spectral library, spectral library, spectral libraries, VNIR spectral libraries, gypsum, montmorillonite, kaolinite, nontronite, carbonate, calcite, siderite, magnesite, dolomite, MGS-1, Mars Global Simulant, spectra, library, Mars, hyperspectral image"},{"pid":"doi:10.7910/DVN/9HWRK8","Title":"PredictionX: A Look at the Future (of Online Learning?)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'PredictionX: A Look at the Future (of Online Learning?)' Description:'Presentation Date: Thursday, June 8, 2017.Location: Harvard University IT Summit, Cambridge, MA. Abstract: Twenty-five faculty from across Harvard’s schools are working with each other, as well as with a handful of outside experts, to create an extensive collection of online resources (interview-style and demonstration videos, text, interactive visualizations, and computer simulations) focused on “The Past and Present of the Future,” known as PredictionX. All of the included material is modular, in that learners or teachers can pick and choose which elements to include in either online or in-person learning experiences. Several interactive technologies are being used in PredictionX, including map-related tools, WorldWide Telescope, and a new timeline tool. Prototyping the timeline tool is part of a Harvard-based collaboration’s work toward establishing a new open standard for time-tagged information. This Summit session on PredictionX will offer attendees an example of how faculty and HarvardX staff can help develop, and edX can host, modular, re-purposable, materials beyond a “MOOC.”' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'PredictionX: A Look at the Future (of Online Learning?)' Description:'Presentation Date: Thursday, June 8, 2017.Location: Harvard University IT Summit, Cambridge, MA. Abstract: Twenty-five faculty from across Harvard’s schools are working with each other, as well as with a handful of outside experts, to create an extensive collection of online resources (interview-style and demonstration videos, text, interactive visualizations, and computer simulations) focused on “The Past and Present of the Future,” known as PredictionX. All of the included material is modular, in that learners or teachers can pick and choose which elements to include in either online or in-person learning experiences. Several interactive technologies are being used in PredictionX, including map-related tools, WorldWide Telescope, and a new timeline tool. Prototyping the timeline tool is part of a Harvard-based collaboration’s work toward establishing a new open standard for time-tagged information. This Summit session on PredictionX will offer attendees an example of how faculty and HarvardX staff can help develop, and edX can host, modular, re-purposable, materials beyond a “MOOC.”' Subject:'Arts and Humanities; Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Physics; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Thursday, June 8, 2017.Location: Harvard University IT Summit, Cambridge, MA. Abstract: Twenty-five faculty from across Harvard’s schools are working with each other, as well as with a handful of outside experts, to create an extensive collection of online resources (interview-style and demonstration videos, text, interactive visualizations, and computer simulations) focused on “The Past and Present of the Future,” known as PredictionX. All of the included material is modular, in that learners or teachers can pick and choose which elements to include in either online or in-person learning experiences. Several interactive technologies are being used in PredictionX, including map-related tools, WorldWide Telescope, and a new timeline tool. Prototyping the timeline tool is part of a Harvard-based collaboration’s work toward establishing a new open standard for time-tagged information. This Summit session on PredictionX will offer attendees an example of how faculty and HarvardX staff can help develop, and edX can host, modular, re-purposable, materials beyond a “MOOC.”","Subject":" Mathematical Sciences","Keywords":"prediction"},{"pid":"doi:10.7910/DVN/9IK577","Title":"R scripts for Hamiltonian Monte Carlo and Coalescence Towards Perfect Simulation of General Continuous Distributions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'R scripts for Hamiltonian Monte Carlo and Coalescence Towards Perfect Simulation of General Continuous Distributions' Description:'R scripts to accompany the publication listed below.The methodology and results demonstrate for the first time the feasibility of coalescence and near-perfect simulation for fairly general continuous distributions. This constitutes a quantum leap in MCMC convergence testing by decoupling the convergence error from experimental error and providing, for a given set of starting points, an exact number of iterations in which coalescence occurs.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bayesian inference; Bayesian Lasso; Coupling from the past; Full Random Uniform Trajectory Sampler; Hamiltonian Monte Carlo; Hybrid Monte Carlo; Markov chain Monte Carlo; MCMC convergence diagnostics; Perfect simulation; Read-once coupling from the past+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'R scripts for Hamiltonian Monte Carlo and Coalescence Towards Perfect Simulation of General Continuous Distributions' Description:'R scripts to accompany the publication listed below.The methodology and results demonstrate for the first time the feasibility of coalescence and near-perfect simulation for fairly general continuous distributions. This constitutes a quantum leap in MCMC convergence testing by decoupling the convergence error from experimental error and providing, for a given set of starting points, an exact number of iterations in which coalescence occurs.' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"R scripts to accompany the publication listed below.The methodology and results demonstrate for the first time the feasibility of coalescence and near-perfect simulation for fairly general continuous distributions. This constitutes a quantum leap in MCMC convergence testing by decoupling the convergence error from experimental error and providing, for a given set of starting points, an exact number of iterations in which coalescence occurs.","Subject":"Mathematical Sciences","Keywords":"Bayesian inference; Bayesian Lasso; Coupling from the past; Full Random Uniform Trajectory Sampler; Hamiltonian Monte Carlo; Hybrid Monte Carlo; Markov chain Monte Carlo; MCMC convergence diagnostics; Perfect simulation; Read-once coupling from the past"},{"pid":"doi:10.7910/DVN/9P9ZRB","Title":"Dataset of TikTok Research (2019-2021)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset of TikTok Research (2019-2021)' Description:'The TikTok research & publication dataset, which was indexed by Scopus from 2019 to June 2021. The dataset consist of 165 publication data in CSV format. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Social Media; TikTok+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset of TikTok Research (2019-2021)' Description:'The TikTok research & publication dataset, which was indexed by Scopus from 2019 to June 2021. The dataset consist of 165 publication data in CSV format. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.' Subject:'Arts and Humanities; Business and Management; Computer and Information Science; Engineering; Mathematical Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The TikTok research & publication dataset, which was indexed by Scopus from 2019 to June 2021. The dataset consist of 165 publication data in CSV format. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.","Subject":" Mathematical Sciences","Keywords":"Social Media; TikTok"},{"pid":"doi:10.7910/DVN/A785G7","Title":"bigKRLS 2016 election analysis and simulations","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'bigKRLS 2016 election analysis and simulations' Description:'Replication materials for 'Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS' that focus on the 2016 US Presidential election and the county-level data used to assess 'communities in crisis' hypothesis outlined in the paper. Code is also provided for a number of simulations of Type 1 and Type 2 error rate, predictiveness, etc.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {KRLS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'bigKRLS 2016 election analysis and simulations' Description:'Replication materials for 'Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS' that focus on the 2016 US Presidential election and the county-level data used to assess 'communities in crisis' hypothesis outlined in the paper. Code is also provided for a number of simulations of Type 1 and Type 2 error rate, predictiveness, etc.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication materials for 'Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS' that focus on the 2016 US Presidential election and the county-level data used to assess 'communities in crisis' hypothesis outlined in the paper. Code is also provided for a number of simulations of Type 1 and Type 2 error rate, predictiveness, etc.","Subject":"Mathematical Sciences","Keywords":"KRLS"},{"pid":"doi:10.7910/DVN/A9LZNV","Title":"Replication Data for: Why Propensity Scores Should Not Be Used for Matching","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Why Propensity Scores Should Not Be Used for Matching' Description:'Abstract: We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal — thus increasing imbalance, inefficiency, model dependence, and bias. The weakness of PSM comes from its attempts to approximate a completely randomized experiment, rather than, as with other matching methods, a more efficient fully blocked randomized experiment. PSM is thus uniquely blind to the often large portion of imbalance that can be eliminated by approximating full blocking with other matching methods. Moreover, in data balanced enough to approximate complete randomization, either to begin with or after pruning some observations, PSM approximates random matching which, we show, increases imbalance even relative tothe original data. Although these results suggest researchers replace PSM with one of the other available matching methods, propensity scores have other productive uses.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Matching; Propensity Score; Causal Inference; Observational Studies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Why Propensity Scores Should Not Be Used for Matching' Description:'Abstract: We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal — thus increasing imbalance, inefficiency, model dependence, and bias. The weakness of PSM comes from its attempts to approximate a completely randomized experiment, rather than, as with other matching methods, a more efficient fully blocked randomized experiment. PSM is thus uniquely blind to the often large portion of imbalance that can be eliminated by approximating full blocking with other matching methods. Moreover, in data balanced enough to approximate complete randomization, either to begin with or after pruning some observations, PSM approximates random matching which, we show, increases imbalance even relative tothe original data. Although these results suggest researchers replace PSM with one of the other available matching methods, propensity scores have other productive uses.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal — thus increasing imbalance, inefficiency, model dependence, and bias. The weakness of PSM comes from its attempts to approximate a completely randomized experiment, rather than, as with other matching methods, a more efficient fully blocked randomized experiment. PSM is thus uniquely blind to the often large portion of imbalance that can be eliminated by approximating full blocking with other matching methods. Moreover, in data balanced enough to approximate complete randomization, either to begin with or after pruning some observations, PSM approximates random matching which, we show, increases imbalance even relative tothe original data. Although these results suggest researchers replace PSM with one of the other available matching methods, propensity scores have other productive uses.","Subject":"Mathematical Sciences","Keywords":"Matching; Propensity Score; Causal Inference; Observational Studies"},{"pid":"doi:10.7910/DVN/AKXXUI","Title":"Supplementary information on the paper 'Modelling Russian users’ political preferences'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary information on the paper 'Modelling Russian users’ political preferences'' Description:'Replication Data for the paper 'Modelling Russian users’ political preferences'. In Russian: 'Моделирование политических взглядов российских пользователей социальной сети ВКонтакте'.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Elections; Machine Learning; Public Opinion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary information on the paper 'Modelling Russian users’ political preferences'' Description:'Replication Data for the paper 'Modelling Russian users’ political preferences'. In Russian: 'Моделирование политических взглядов российских пользователей социальной сети ВКонтакте'.' Subject:'Computer and Information Science; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for the paper 'Modelling Russian users’ political preferences'. In Russian: 'Моделирование политических взглядов российских пользователей социальной сети ВКонтакте'.","Subject":" Mathematical Sciences","Keywords":"Elections; Machine Learning; Public Opinion"},{"pid":"doi:10.7910/DVN/B7TLJW","Title":"Frequency, Duration, and Damages of Global Floods: 1985-2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Frequency, Duration, and Damages of Global Floods: 1985-2015' Description:'The processed data from the Dartmouth Flood Observatory's (DFO) global flood database used in Najibi, N. and Devineni, N., 2018, Recent Trends in the Frequency and Duration of Global Floods, Earth System Dynamics, https://doi.org/10.5194/esd-2017-59.This database is created to be used only for research purposes. We request the users to please cite the above paper (Najibi and Devineni, 2018) along with the relevant sources from the Dartmouth Flood Observatory (http://floodobservatory.colorado.edu). We acknowledge G. R. Brakenridge and A. J. Kettner for providing the raw data and information that are under the terms of a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. With attribution, they can be used and shared freely for non-commercial purposes. Commercial use is available by permission from the Dartmouth Flood Observatory.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {flood, climate, trend, database, damage, duration, frequency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Frequency, Duration, and Damages of Global Floods: 1985-2015' Description:'The processed data from the Dartmouth Flood Observatory's (DFO) global flood database used in Najibi, N. and Devineni, N., 2018, Recent Trends in the Frequency and Duration of Global Floods, Earth System Dynamics, https://doi.org/10.5194/esd-2017-59.This database is created to be used only for research purposes. We request the users to please cite the above paper (Najibi and Devineni, 2018) along with the relevant sources from the Dartmouth Flood Observatory (http://floodobservatory.colorado.edu). We acknowledge G. R. Brakenridge and A. J. Kettner for providing the raw data and information that are under the terms of a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. With attribution, they can be used and shared freely for non-commercial purposes. Commercial use is available by permission from the Dartmouth Flood Observatory.' Subject:'Agricultural Sciences; Business and Management; Computer and Information Science; Earth and Environmental Sciences; Engineering; Mathematical Sciences; Medicine, Health and Life Sciences; Physics; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The processed data from the Dartmouth Flood Observatory's (DFO) global flood database used in Najibi, N. and Devineni, N., 2018, Recent Trends in the Frequency and Duration of Global Floods, Earth System Dynamics, https://doi.org/10.5194/esd-2017-59.This database is created to be used only for research purposes. We request the users to please cite the above paper (Najibi and Devineni, 2018) along with the relevant sources from the Dartmouth Flood Observatory (http://floodobservatory.colorado.edu). We acknowledge G. R. Brakenridge and A. J. Kettner for providing the raw data and information that are under the terms of a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. With attribution, they can be used and shared freely for non-commercial purposes. Commercial use is available by permission from the Dartmouth Flood Observatory.","Subject":" Mathematical Sciences","Keywords":"flood, climate, trend, database, damage, duration, frequency"},{"pid":"doi:10.7910/DVN/L4NBYE","Title":"SHA-1 Graph Visualization","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SHA-1 Graph Visualization' Description:'We present SHA-1 (Secure Hash Algorithm, NIST FIPS PUB 180-4) graph visualization. The dataset includes Conjunctive Normal Form (CNF) formulas in DIMACS format, which are SAT (satisfiability) instances representing full 80 rounds SHA-1 as well as reduced versions with 20 and 25 rounds. Furthermore, we include variable incidence graphs (VIG) for the same instances in GraphML format, mapping CNF variables and clauses to graph vertices and edges. CNF variables corresponding to SHA-1 parameters are identified within GraphML using node attributes. The original purpose of the data is to produce SHA-1 visualization.Our contributions: 1) compactness of the CNF formula makes the visualization viable as presented and 2) mapping of algorithm variables to graph vertices makes colour-coding possible.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CNF; cryptanalysis; satisfiability; SHA-1; variable incidence graph+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SHA-1 Graph Visualization' Description:'We present SHA-1 (Secure Hash Algorithm, NIST FIPS PUB 180-4) graph visualization. The dataset includes Conjunctive Normal Form (CNF) formulas in DIMACS format, which are SAT (satisfiability) instances representing full 80 rounds SHA-1 as well as reduced versions with 20 and 25 rounds. Furthermore, we include variable incidence graphs (VIG) for the same instances in GraphML format, mapping CNF variables and clauses to graph vertices and edges. CNF variables corresponding to SHA-1 parameters are identified within GraphML using node attributes. The original purpose of the data is to produce SHA-1 visualization.Our contributions: 1) compactness of the CNF formula makes the visualization viable as presented and 2) mapping of algorithm variables to graph vertices makes colour-coding possible.' Subject:'Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We present SHA-1 (Secure Hash Algorithm, NIST FIPS PUB 180-4) graph visualization. The dataset includes Conjunctive Normal Form (CNF) formulas in DIMACS format, which are SAT (satisfiability) instances representing full 80 rounds SHA-1 as well as reduced versions with 20 and 25 rounds. Furthermore, we include variable incidence graphs (VIG) for the same instances in GraphML format, mapping CNF variables and clauses to graph vertices and edges. CNF variables corresponding to SHA-1 parameters are identified within GraphML using node attributes. The original purpose of the data is to produce SHA-1 visualization.Our contributions: 1) compactness of the CNF formula makes the visualization viable as presented and 2) mapping of algorithm variables to graph vertices makes colour-coding possible.","Subject":" Mathematical Sciences","Keywords":"CNF; cryptanalysis; satisfiability; SHA-1; variable incidence graph"},{"pid":"doi:10.7910/DVN/BWTK2I","Title":"Data Science Trainings on Analytical Workflows","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data Science Trainings on Analytical Workflows' Description:'Co-sponsored by the Center for Geographic Analysis of Harvard University, RMDS Lab and Future Data Lab, the workflow-based data analysis project aims to provide new approach for efficient data analysis and replicable, reproducible and expandable research. This year-round webinar series is designed to help attendees advance in their career with research data, tools, and their applications.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Spatial, workflows, GIS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data Science Trainings on Analytical Workflows' Description:'Co-sponsored by the Center for Geographic Analysis of Harvard University, RMDS Lab and Future Data Lab, the workflow-based data analysis project aims to provide new approach for efficient data analysis and replicable, reproducible and expandable research. This year-round webinar series is designed to help attendees advance in their career with research data, tools, and their applications.' Subject:'Business and Management; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Co-sponsored by the Center for Geographic Analysis of Harvard University, RMDS Lab and Future Data Lab, the workflow-based data analysis project aims to provide new approach for efficient data analysis and replicable, reproducible and expandable research. This year-round webinar series is designed to help attendees advance in their career with research data, tools, and their applications.","Subject":" Mathematical Sciences","Keywords":"Spatial, workflows, GIS"},{"pid":"doi:10.7910/DVN/CDCWAL","Title":"Driving Simulator Survey, Average Travel Time and Flow from Traffic Simulation, and Driving Headways from Driving Simulator","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Driving Simulator Survey, Average Travel Time and Flow from Traffic Simulation, and Driving Headways from Driving Simulator' Description:'Driving_Sim_Summary.xlsx: This data file consists of the results of the participants in the driving simulator’s surveys and average speeds and headways within the driving simulator. The two rightmost columns were gathered from the participants after the driving portion of the experiment. Three participants did not complete the experiment due to simulator sickness and thus are excluded from the dataset: participants 25, 35, and 39.MA-CAVS_Results.xlsx: This data file consists of the average travel times and average flow of the traffic simulation under varying AV market penetrations. Data was gathered for a 45 MPH speed limit and a 65 MPH speed limit. Line plots summarizing average travel time and average flow across AV market penetrations have been included.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Autonomous Vehicle; Driving Simulation; Galvanic Skin Response; Multi-Agent Vehicle Simulation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Driving Simulator Survey, Average Travel Time and Flow from Traffic Simulation, and Driving Headways from Driving Simulator' Description:'Driving_Sim_Summary.xlsx: This data file consists of the results of the participants in the driving simulator’s surveys and average speeds and headways within the driving simulator. The two rightmost columns were gathered from the participants after the driving portion of the experiment. Three participants did not complete the experiment due to simulator sickness and thus are excluded from the dataset: participants 25, 35, and 39.MA-CAVS_Results.xlsx: This data file consists of the average travel times and average flow of the traffic simulation under varying AV market penetrations. Data was gathered for a 45 MPH speed limit and a 65 MPH speed limit. Line plots summarizing average travel time and average flow across AV market penetrations have been included.' Subject:'Computer and Information Science; Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Driving_Sim_Summary.xlsx: This data file consists of the results of the participants in the driving simulator’s surveys and average speeds and headways within the driving simulator. The two rightmost columns were gathered from the participants after the driving portion of the experiment. Three participants did not complete the experiment due to simulator sickness and thus are excluded from the dataset: participants 25, 35, and 39.MA-CAVS_Results.xlsx: This data file consists of the average travel times and average flow of the traffic simulation under varying AV market penetrations. Data was gathered for a 45 MPH speed limit and a 65 MPH speed limit. Line plots summarizing average travel time and average flow across AV market penetrations have been included.","Subject":" Mathematical Sciences","Keywords":"Autonomous Vehicle; Driving Simulation; Galvanic Skin Response; Multi-Agent Vehicle Simulation"},{"pid":"doi:10.7910/DVN/CNIHYV","Title":"Persistence Diagrams for Random Models","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Persistence Diagrams for Random Models' Description:'A collection of persistence diagrams for point sets mostly from random models. This includes some other experiments for the paper 'On the universality of random persistence diagrams'' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {persistent homology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Persistence Diagrams for Random Models' Description:'A collection of persistence diagrams for point sets mostly from random models. This includes some other experiments for the paper 'On the universality of random persistence diagrams'' Subject:'Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A collection of persistence diagrams for point sets mostly from random models. This includes some other experiments for the paper 'On the universality of random persistence diagrams'","Subject":" Mathematical Sciences","Keywords":"persistent homology"},{"pid":"doi:10.7910/DVN/CX4VHN","Title":"Data on the case study of SR-522 corridor in Seattle, WA","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data on the case study of SR-522 corridor in Seattle, WA' Description:'The dataset includes the data for a section of the SR-522 corridor in Seattle, WA. Google Earth satellite and Google map of 10 intersection network in SR-522, Seattle, WA, Input Data for Intersections 1-10, Cell Transmission Model Representation of Case Study, average delays, speed, stop, and delayed stop for different penetration rates for demand profile 1,2,3, the performance of distributed coordinated approach, turning volume at the intersections are provided.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cloud; Fog; Signal Timing Optimization; Transportation Network+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data on the case study of SR-522 corridor in Seattle, WA' Description:'The dataset includes the data for a section of the SR-522 corridor in Seattle, WA. Google Earth satellite and Google map of 10 intersection network in SR-522, Seattle, WA, Input Data for Intersections 1-10, Cell Transmission Model Representation of Case Study, average delays, speed, stop, and delayed stop for different penetration rates for demand profile 1,2,3, the performance of distributed coordinated approach, turning volume at the intersections are provided.' Subject:'Computer and Information Science; Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset includes the data for a section of the SR-522 corridor in Seattle, WA. Google Earth satellite and Google map of 10 intersection network in SR-522, Seattle, WA, Input Data for Intersections 1-10, Cell Transmission Model Representation of Case Study, average delays, speed, stop, and delayed stop for different penetration rates for demand profile 1,2,3, the performance of distributed coordinated approach, turning volume at the intersections are provided.","Subject":" Mathematical Sciences","Keywords":"Cloud; Fog; Signal Timing Optimization; Transportation Network"},{"pid":"doi:10.7910/DVN/D7RUJN","Title":"Replication Data for: 'A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data'' Description:'The dataset contains replication data for the manuscript entitled 'A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data.'' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anti-preferential attachment; Preferential attachment; Social networks; Social selection; Temporal networks; Triadic closure+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data'' Description:'The dataset contains replication data for the manuscript entitled 'A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data.'' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset contains replication data for the manuscript entitled 'A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data.'","Subject":"Mathematical Sciences","Keywords":"Anti-preferential attachment; Preferential attachment; Social networks; Social selection; Temporal networks; Triadic closure"},{"pid":"doi:10.7910/DVN/DC5M3E","Title":"Graph theory indicators for e-mail network","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Graph theory indicators for e-mail network' Description:'This dataset includes graph theory indicators (centrality and clustering coefficients) for the Stanford Network Analysis Project (SNAP) 'email-Eu-core-temporal' network, a well-known reference dataset for Social Network Analysis (SNA) of e-mail traffic.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {email network, network analysis, social network analysis, graph theory, indicators+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Graph theory indicators for e-mail network' Description:'This dataset includes graph theory indicators (centrality and clustering coefficients) for the Stanford Network Analysis Project (SNAP) 'email-Eu-core-temporal' network, a well-known reference dataset for Social Network Analysis (SNA) of e-mail traffic.' Subject:'Computer and Information Science; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes graph theory indicators (centrality and clustering coefficients) for the Stanford Network Analysis Project (SNAP) 'email-Eu-core-temporal' network, a well-known reference dataset for Social Network Analysis (SNA) of e-mail traffic.","Subject":" Mathematical Sciences","Keywords":"email network, network analysis, social network analysis, graph theory, indicators"},{"pid":"doi:10.7910/DVN/DHLRSI","Title":"Replication Data for: Joint Gene Network Construction by Single-Cell RNA Sequencing Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Joint Gene Network Construction by Single-Cell RNA Sequencing Data' Description:'The R code and processed real data for the paper: Joint Gene Network Construction by Single-Cell RNA Sequencing Data.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Glioblastoma; joint gene network; Medulloblastoma+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Joint Gene Network Construction by Single-Cell RNA Sequencing Data' Description:'The R code and processed real data for the paper: Joint Gene Network Construction by Single-Cell RNA Sequencing Data.' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The R code and processed real data for the paper: Joint Gene Network Construction by Single-Cell RNA Sequencing Data.","Subject":"Mathematical Sciences","Keywords":"Glioblastoma; joint gene network; Medulloblastoma"},{"pid":"doi:10.7910/DVN/DSLYC6","Title":"Replication Data for: Connecting Social Capital and Vulnerability: A Citation Network Analysis of Disaster Studies","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Connecting Social Capital and Vulnerability: A Citation Network Analysis of Disaster Studies' Description:'This study contains replication data for this study.A growing field of disaster scholarship uses qualitative and quantitative methods to illuminate the role of social capital and social networks in recovery and resilience outcomes. But this approach seems disconnected from older approaches based on broader themes such as vulnerability. Which school of thought is more prominent in disaster social science, and to what degree are these fields interconnected? To assess this, this study uses network analysis to visualize citation patterns, schools of thought, and influential authors from 912 articles on disasters. Our analysis finds that while all clusters of disaster research deal with some kind of vulnerability - such as age, poverty, race, and gender - only one of six main research clusters engages scholarship on social capital. Despite these lacunae, the most influential works in the field point to strong synergies between social capital and vulnerability research. This work highlights that social capital can help us better understand how vulnerable populations can organize to mitigate disaster outcomes, and that the insights of vulnerability scholars on race and gender can improve social capital scholars’ understanding of bridging and bonding social ties in disaster recovery.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {citation; disaster; networks; resilience; social capital; vulnerability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Connecting Social Capital and Vulnerability: A Citation Network Analysis of Disaster Studies' Description:'This study contains replication data for this study.A growing field of disaster scholarship uses qualitative and quantitative methods to illuminate the role of social capital and social networks in recovery and resilience outcomes. But this approach seems disconnected from older approaches based on broader themes such as vulnerability. Which school of thought is more prominent in disaster social science, and to what degree are these fields interconnected? To assess this, this study uses network analysis to visualize citation patterns, schools of thought, and influential authors from 912 articles on disasters. Our analysis finds that while all clusters of disaster research deal with some kind of vulnerability - such as age, poverty, race, and gender - only one of six main research clusters engages scholarship on social capital. Despite these lacunae, the most influential works in the field point to strong synergies between social capital and vulnerability research. This work highlights that social capital can help us better understand how vulnerable populations can organize to mitigate disaster outcomes, and that the insights of vulnerability scholars on race and gender can improve social capital scholars’ understanding of bridging and bonding social ties in disaster recovery.' Subject:'Earth and Environmental Sciences; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This study contains replication data for this study.A growing field of disaster scholarship uses qualitative and quantitative methods to illuminate the role of social capital and social networks in recovery and resilience outcomes. But this approach seems disconnected from older approaches based on broader themes such as vulnerability. Which school of thought is more prominent in disaster social science, and to what degree are these fields interconnected? To assess this, this study uses network analysis to visualize citation patterns, schools of thought, and influential authors from 912 articles on disasters. Our analysis finds that while all clusters of disaster research deal with some kind of vulnerability - such as age, poverty, race, and gender - only one of six main research clusters engages scholarship on social capital. Despite these lacunae, the most influential works in the field point to strong synergies between social capital and vulnerability research. This work highlights that social capital can help us better understand how vulnerable populations can organize to mitigate disaster outcomes, and that the insights of vulnerability scholars on race and gender can improve social capital scholars’ understanding of bridging and bonding social ties in disaster recovery.","Subject":" Mathematical Sciences","Keywords":"citation; disaster; networks; resilience; social capital; vulnerability"},{"pid":"doi:10.7910/DVN/EBX2JT","Title":"Scripts R for Visibility Graphs Analysys","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Scripts R for Visibility Graphs Analysys' Description:'Set of Scriptsin R for Construction, visualization and statistical analysis of Visibility Graphs.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {R language; Visibility Graphs+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Scripts R for Visibility Graphs Analysys' Description:'Set of Scriptsin R for Construction, visualization and statistical analysis of Visibility Graphs.' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Set of Scriptsin R for Construction, visualization and statistical analysis of Visibility Graphs.","Subject":"Mathematical Sciences","Keywords":"R language; Visibility Graphs"},{"pid":"doi:10.7910/DVN/ENG0IY","Title":"Replication Data for: Zika Epidemic and Birth Rates in Brazil","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Zika Epidemic and Birth Rates in Brazil' Description:'Replication Data for Analyses for Application (1) Zika Epidemic and Birth Rates in manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Causal effects; Difference-in-difference+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Zika Epidemic and Birth Rates in Brazil' Description:'Replication Data for Analyses for Application (1) Zika Epidemic and Birth Rates in manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for Analyses for Application (1) Zika Epidemic and Birth Rates in manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'","Subject":"Mathematical Sciences","Keywords":"Causal effects; Difference-in-difference"},{"pid":"doi:10.7910/DVN/ERQTHO","Title":"Prediction vs. Prophecy","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Prediction vs. Prophecy' Description:'Presentation Date: Tuesday, May 26, 2020.Location: Harvard and Radcliffe College Reunions at Home Virtual Program. Abstract: An interactive hour with Alyssa Goodman, Robert Wheeler Willson Professor of Applied Astronomy and Co-Director for Science at the Radcliffe Institute for Advanced Study, as we explore the Prediction Project. The Prediction Project examines humankind’s efforts to predict the future and spans methods ranging from the ancient Mesopotamian's practice of reading entrails to modern computer simulations of climate change. Professor Goodman will especially highlight the “Path to Newton” element of the Prediction Project. The richly illustrated 'Path', available online at path-to.org, illustrates and describes the 3000-year history of who and what helped and hindered progress toward Isaac Newton creating a predictive theory of gravity.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Prediction vs. Prophecy' Description:'Presentation Date: Tuesday, May 26, 2020.Location: Harvard and Radcliffe College Reunions at Home Virtual Program. Abstract: An interactive hour with Alyssa Goodman, Robert Wheeler Willson Professor of Applied Astronomy and Co-Director for Science at the Radcliffe Institute for Advanced Study, as we explore the Prediction Project. The Prediction Project examines humankind’s efforts to predict the future and spans methods ranging from the ancient Mesopotamian's practice of reading entrails to modern computer simulations of climate change. Professor Goodman will especially highlight the “Path to Newton” element of the Prediction Project. The richly illustrated 'Path', available online at path-to.org, illustrates and describes the 3000-year history of who and what helped and hindered progress toward Isaac Newton creating a predictive theory of gravity.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Tuesday, May 26, 2020.Location: Harvard and Radcliffe College Reunions at Home Virtual Program. Abstract: An interactive hour with Alyssa Goodman, Robert Wheeler Willson Professor of Applied Astronomy and Co-Director for Science at the Radcliffe Institute for Advanced Study, as we explore the Prediction Project. The Prediction Project examines humankind’s efforts to predict the future and spans methods ranging from the ancient Mesopotamian's practice of reading entrails to modern computer simulations of climate change. Professor Goodman will especially highlight the “Path to Newton” element of the Prediction Project. The richly illustrated 'Path', available online at path-to.org, illustrates and describes the 3000-year history of who and what helped and hindered progress toward Isaac Newton creating a predictive theory of gravity.","Subject":" Mathematical Sciences","Keywords":"prediction"},{"pid":"doi:10.7910/DVN/ESQG5S","Title":"DOCUMENTS AND RECORDS MANAGEMENT POLICY - J. Mark SEMAKULA","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'DOCUMENTS AND RECORDS MANAGEMENT POLICY - J. Mark SEMAKULA' Description:'1. PurposeThe Uganda National Records and Archives Act, 2001 requires the Baylor College of Medicine Children’s Foundation – Uganda to manage its records in a well-structured record keeping system, and to put the necessary policies and procedures in place to ensure that its record keeping and records management practices comply with the requirements of the Act and records requirements by the Sponsorship office and other Baylor College of Medicine Children’s Foundation - Uganda. Information is a resource of the same importance to good management as other standard resources like people, money and facilities. The information resources of Baylor College of Medicine Children’s Foundation – Uganda must therefore be managed as a valuable asset. Appropriate records management is a vital aspect of maintaining and enhancing the value of this asset. Baylor College of Medicine Children’s Foundation – Uganda considers its records to be a valuable asset to: enable Baylor College of Medicine Children’s Foundation - Uganda to find the right information easily and comprehensively; enable Baylor College of Medicine Children’s Foundation - Uganda to perform its functions successfully and efficiently and in an accountable manner; support the business, legal and accountability requirements of Baylor College of Medicine Children’s Foundation - Uganda; ensure the conduct of business in an orderly, efficient and accountable manner; ensure the consistent delivery of services; support and document policy formation and administrative decision-making; provide continuity in the event of a disaster; protect the interests of Baylor College of Medicine Children’s Foundation - Uganda and the rights of employees, clients and present and future stakeholders; support and document Baylor College of Medicine Children’s Foundation - Uganda’s activities, development and achievements; Records management, through the proper control of the content, storage and volume of records, reduces vulnerability to legal challenge or financial loss and promotes best value in terms of human and space resources through greater co-ordination of information and storage systems. ' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Documents and Information Management+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'DOCUMENTS AND RECORDS MANAGEMENT POLICY - J. Mark SEMAKULA' Description:'1. PurposeThe Uganda National Records and Archives Act, 2001 requires the Baylor College of Medicine Children’s Foundation – Uganda to manage its records in a well-structured record keeping system, and to put the necessary policies and procedures in place to ensure that its record keeping and records management practices comply with the requirements of the Act and records requirements by the Sponsorship office and other Baylor College of Medicine Children’s Foundation - Uganda. Information is a resource of the same importance to good management as other standard resources like people, money and facilities. The information resources of Baylor College of Medicine Children’s Foundation – Uganda must therefore be managed as a valuable asset. Appropriate records management is a vital aspect of maintaining and enhancing the value of this asset. Baylor College of Medicine Children’s Foundation – Uganda considers its records to be a valuable asset to: enable Baylor College of Medicine Children’s Foundation - Uganda to find the right information easily and comprehensively; enable Baylor College of Medicine Children’s Foundation - Uganda to perform its functions successfully and efficiently and in an accountable manner; support the business, legal and accountability requirements of Baylor College of Medicine Children’s Foundation - Uganda; ensure the conduct of business in an orderly, efficient and accountable manner; ensure the consistent delivery of services; support and document policy formation and administrative decision-making; provide continuity in the event of a disaster; protect the interests of Baylor College of Medicine Children’s Foundation - Uganda and the rights of employees, clients and present and future stakeholders; support and document Baylor College of Medicine Children’s Foundation - Uganda’s activities, development and achievements; Records management, through the proper control of the content, storage and volume of records, reduces vulnerability to legal challenge or financial loss and promotes best value in terms of human and space resources through greater co-ordination of information and storage systems. ' Subject:'Arts and Humanities; Business and Management; Computer and Information Science; Law; Mathematical Sciences; Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"1. PurposeThe Uganda National Records and Archives Act, 2001 requires the Baylor College of Medicine Children’s Foundation – Uganda to manage its records in a well-structured record keeping system, and to put the necessary policies and procedures in place to ensure that its record keeping and records management practices comply with the requirements of the Act and records requirements by the Sponsorship office and other Baylor College of Medicine Children’s Foundation - Uganda. Information is a resource of the same importance to good management as other standard resources like people, money and facilities. The information resources of Baylor College of Medicine Children’s Foundation – Uganda must therefore be managed as a valuable asset. Appropriate records management is a vital aspect of maintaining and enhancing the value of this asset. Baylor College of Medicine Children’s Foundation – Uganda considers its records to be a valuable asset to: enable Baylor College of Medicine Children’s Foundation - Uganda to find the right information easily and comprehensively; enable Baylor College of Medicine Children’s Foundation - Uganda to perform its functions successfully and efficiently and in an accountable manner; support the business, legal and accountability requirements of Baylor College of Medicine Children’s Foundation - Uganda; ensure the conduct of business in an orderly, efficient and accountable manner; ensure the consistent delivery of services; support and document policy formation and administrative decision-making; provide continuity in the event of a disaster; protect the interests of Baylor College of Medicine Children’s Foundation - Uganda and the rights of employees, clients and present and future stakeholders; support and document Baylor College of Medicine Children’s Foundation - Uganda’s activities, development and achievements; Records management, through the proper control of the content, storage and volume of records, reduces vulnerability to legal challenge or financial loss and promotes best value in terms of human and space resources through greater co-ordination of information and storage systems. ","Subject":" Mathematical Sciences","Keywords":"Documents and Information Management"},{"pid":"doi:10.7910/DVN/FSGDQM","Title":"Road Traffic Time-Series Measurements of Flow and Occupancy from 10,150 Loop Detectors in 25 Cities","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Road Traffic Time-Series Measurements of Flow and Occupancy from 10,150 Loop Detectors in 25 Cities' Description:'This road traffic data set consists of multiple time-series of flow-occupancy measurement pairs obtained by 10,150 loop detectors in 25 cities. In total there are 168,183,675 flow-occupancy measurement pairs in the data set, of which 147,034,646 measurement pairs are good (i.e. not flagged as errors). Each measurement pair corresponds to a time interval that is typically of 3 or 5 minutes in duration. The time-series data were obtained mainly from the period 2015 to 2018, with some data obtained in 2008. The time-span of each series depends on the city where the data were obtained, and varies from 6 to 372 days. Each time-series (i.e. each loop detector) has at least 900 good flow-occupancy measurement pairs. The data set also includes information on the loop detectors and the roads on which they are located, the majority of which are interrupted flow facilities (i.e. roads with intersections). Note that the flow-occupancy measurement pairs from a single loop detector form an empirical fundamental diagram.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Empirical fundamental diagrams; Flow-density relationship; Loop detector data; Speed-density relationship; Time-series; Traffic+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Road Traffic Time-Series Measurements of Flow and Occupancy from 10,150 Loop Detectors in 25 Cities' Description:'This road traffic data set consists of multiple time-series of flow-occupancy measurement pairs obtained by 10,150 loop detectors in 25 cities. In total there are 168,183,675 flow-occupancy measurement pairs in the data set, of which 147,034,646 measurement pairs are good (i.e. not flagged as errors). Each measurement pair corresponds to a time interval that is typically of 3 or 5 minutes in duration. The time-series data were obtained mainly from the period 2015 to 2018, with some data obtained in 2008. The time-span of each series depends on the city where the data were obtained, and varies from 6 to 372 days. Each time-series (i.e. each loop detector) has at least 900 good flow-occupancy measurement pairs. The data set also includes information on the loop detectors and the roads on which they are located, the majority of which are interrupted flow facilities (i.e. roads with intersections). Note that the flow-occupancy measurement pairs from a single loop detector form an empirical fundamental diagram.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This road traffic data set consists of multiple time-series of flow-occupancy measurement pairs obtained by 10,150 loop detectors in 25 cities. In total there are 168,183,675 flow-occupancy measurement pairs in the data set, of which 147,034,646 measurement pairs are good (i.e. not flagged as errors). Each measurement pair corresponds to a time interval that is typically of 3 or 5 minutes in duration. The time-series data were obtained mainly from the period 2015 to 2018, with some data obtained in 2008. The time-span of each series depends on the city where the data were obtained, and varies from 6 to 372 days. Each time-series (i.e. each loop detector) has at least 900 good flow-occupancy measurement pairs. The data set also includes information on the loop detectors and the roads on which they are located, the majority of which are interrupted flow facilities (i.e. roads with intersections). Note that the flow-occupancy measurement pairs from a single loop detector form an empirical fundamental diagram.","Subject":" Mathematical Sciences","Keywords":"Empirical fundamental diagrams; Flow-density relationship; Loop detector data; Speed-density relationship; Time-series; Traffic"},{"pid":"doi:10.7910/DVN/FTM4NA","Title":"Penrose diagrams (The Architecture of Space-time 2021)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Penrose diagrams (The Architecture of Space-time 2021)' Description:'Seminar presentation for Penrose diagrams (seminar-II) for the Architecture of Space-time at the Continuum collaboration.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {General Relativity; Penrose diagrams+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Penrose diagrams (The Architecture of Space-time 2021)' Description:'Seminar presentation for Penrose diagrams (seminar-II) for the Architecture of Space-time at the Continuum collaboration.' Subject:'Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Seminar presentation for Penrose diagrams (seminar-II) for the Architecture of Space-time at the Continuum collaboration.","Subject":"Mathematical Sciences","Keywords":"General Relativity; Penrose diagrams"},{"pid":"doi:10.7910/DVN/FZIHMB","Title":"Counting essential surfaces in 3-manifolds","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Counting essential surfaces in 3-manifolds' Description:'Code and data to accompany the paper of the same name by N. M. Dunfield, S. Garoufalidis, and J. H. Rubinstein.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {3-manifold; essential surfaces+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Counting essential surfaces in 3-manifolds' Description:'Code and data to accompany the paper of the same name by N. M. Dunfield, S. Garoufalidis, and J. H. Rubinstein.' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Code and data to accompany the paper of the same name by N. M. Dunfield, S. Garoufalidis, and J. H. Rubinstein.","Subject":"Mathematical Sciences","Keywords":"3-manifold; essential surfaces"},{"pid":"doi:10.7910/DVN/FZSPB3","Title":"Replication Data for: ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda' Description:'ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda.National Information Technology Authority - Uganda.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ICT Policy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda' Description:'ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda.National Information Technology Authority - Uganda.' Subject:'Agricultural Sciences; Arts and Humanities; Astronomy and Astrophysics; Business and Management; Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering; Law; Mathematical Sciences; Medicine, Health and Life Sciences; Other; Physics; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ICT Policy, Jinja Regional Referral Hospital - Ministry of Health, Uganda.National Information Technology Authority - Uganda.","Subject":" Mathematical Sciences","Keywords":"ICT Policy"},{"pid":"doi:10.7910/DVN/G2X5ZM","Title":"Agile Software Development: It’s Implication for AI products and Developers","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Agile Software Development: It’s Implication for AI products and Developers' Description:'Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Agile development, software development, Artificial intelligence, Software developers, Big Data, AI products+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Agile Software Development: It’s Implication for AI products and Developers' Description:'Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.' Subject:'Business and Management; Computer and Information Science; Engineering; Mathematical Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.","Subject":" Mathematical Sciences","Keywords":"Agile development, software development, Artificial intelligence, Software developers, Big Data, AI products"},{"pid":"doi:10.7910/DVN/GVNPSX","Title":"glue-ing together the Universe--Invited Talk at 'Vis in Practice' Session of IEEE Viz 2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'glue-ing together the Universe--Invited Talk at 'Vis in Practice' Session of IEEE Viz 2018' Description:'Presentation Date: Monday, October 22, 2018.Location: IEEE Viz 2018, Berlin, Germany.Abstract: Astronomers have a long history of visualization. Going back only as far as Galileo, discoveries were made using sketches of celestial objects moving over time. Today, Astronomy inquiries can, and often do, make use of petabytes of data at once. Huge surveys are analyzed statistically to understand tiny fluctuations that hint at the fundamental nature of the Universe, and myriad data sets, from telescopes across the globe and in space are brought together to solve problems ranging from the nature of black holes to the structure of the Milky Way to the origins of planets like Earth. In this talk, I will summarize the state of partnerships between astronomical, physical, and computational approaches to gleaning insight from combinations of scientific and information visualization in Astrophysics. In particular, I will discuss how the “glue” linked-view visualization environment (glueviz.org), developed originally to facilitate high-dimensional data exploration in Astronomy and Medicine, can be extended to many other fields of data-driven inquiry. In addition, I will explain how the current open-source, plug & play, approach to software facilitates the combination of powerful programs and projects such as glue, WorldWide Telescope, ESASky, and the Zooniverse Citizen Science platform. Throughout the talk, I will emphasize the commonalities amongst many fields of science that rely on high-dimensional data. Scientists do not draw distinctions between “scientific visualizations” that show literal spatial dimensions, and “information visualizations” that characterize non-spatial and/or statistical aspects of data. My goal will be to leave Vis attendees with an appreciation of the powerful discovery opportunities offered to scientists when visualization types developed by the InfoVis, SciVis, and VAST communities can be connected in the kind of flexible, linked-view high-dimensional visualization environment offered by glue.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'glue-ing together the Universe--Invited Talk at 'Vis in Practice' Session of IEEE Viz 2018' Description:'Presentation Date: Monday, October 22, 2018.Location: IEEE Viz 2018, Berlin, Germany.Abstract: Astronomers have a long history of visualization. Going back only as far as Galileo, discoveries were made using sketches of celestial objects moving over time. Today, Astronomy inquiries can, and often do, make use of petabytes of data at once. Huge surveys are analyzed statistically to understand tiny fluctuations that hint at the fundamental nature of the Universe, and myriad data sets, from telescopes across the globe and in space are brought together to solve problems ranging from the nature of black holes to the structure of the Milky Way to the origins of planets like Earth. In this talk, I will summarize the state of partnerships between astronomical, physical, and computational approaches to gleaning insight from combinations of scientific and information visualization in Astrophysics. In particular, I will discuss how the “glue” linked-view visualization environment (glueviz.org), developed originally to facilitate high-dimensional data exploration in Astronomy and Medicine, can be extended to many other fields of data-driven inquiry. In addition, I will explain how the current open-source, plug & play, approach to software facilitates the combination of powerful programs and projects such as glue, WorldWide Telescope, ESASky, and the Zooniverse Citizen Science platform. Throughout the talk, I will emphasize the commonalities amongst many fields of science that rely on high-dimensional data. Scientists do not draw distinctions between “scientific visualizations” that show literal spatial dimensions, and “information visualizations” that characterize non-spatial and/or statistical aspects of data. My goal will be to leave Vis attendees with an appreciation of the powerful discovery opportunities offered to scientists when visualization types developed by the InfoVis, SciVis, and VAST communities can be connected in the kind of flexible, linked-view high-dimensional visualization environment offered by glue.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Monday, October 22, 2018.Location: IEEE Viz 2018, Berlin, Germany.Abstract: Astronomers have a long history of visualization. Going back only as far as Galileo, discoveries were made using sketches of celestial objects moving over time. Today, Astronomy inquiries can, and often do, make use of petabytes of data at once. Huge surveys are analyzed statistically to understand tiny fluctuations that hint at the fundamental nature of the Universe, and myriad data sets, from telescopes across the globe and in space are brought together to solve problems ranging from the nature of black holes to the structure of the Milky Way to the origins of planets like Earth. In this talk, I will summarize the state of partnerships between astronomical, physical, and computational approaches to gleaning insight from combinations of scientific and information visualization in Astrophysics. In particular, I will discuss how the “glue” linked-view visualization environment (glueviz.org), developed originally to facilitate high-dimensional data exploration in Astronomy and Medicine, can be extended to many other fields of data-driven inquiry. In addition, I will explain how the current open-source, plug & play, approach to software facilitates the combination of powerful programs and projects such as glue, WorldWide Telescope, ESASky, and the Zooniverse Citizen Science platform. Throughout the talk, I will emphasize the commonalities amongst many fields of science that rely on high-dimensional data. Scientists do not draw distinctions between “scientific visualizations” that show literal spatial dimensions, and “information visualizations” that characterize non-spatial and/or statistical aspects of data. My goal will be to leave Vis attendees with an appreciation of the powerful discovery opportunities offered to scientists when visualization types developed by the InfoVis, SciVis, and VAST communities can be connected in the kind of flexible, linked-view high-dimensional visualization environment offered by glue.","Subject":" Mathematical Sciences","Keywords":"data visualization"},{"pid":"doi:10.7910/DVN/GWOTGE","Title":"Credit Scoring data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Credit Scoring data' Description:'Primary and Secondary data from chit fund companies for Credit Scoring project in India' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {credit score+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Credit Scoring data' Description:'Primary and Secondary data from chit fund companies for Credit Scoring project in India' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Primary and Secondary data from chit fund companies for Credit Scoring project in India","Subject":"Mathematical Sciences","Keywords":"credit score"},{"pid":"doi:10.7910/DVN/GY6P9I","Title":"Replication Data for: 'Guarding Against False Positives in Qualitative Comparative Analysis'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Guarding Against False Positives in Qualitative Comparative Analysis'' Description:'The various methodological techniques that fall under the umbrella description of qualitative comparative analysis (QCA) are increasingly popular for modeling causal complexity and necessary or sufficient conditions in medium-N settings. Because QCA methods are not designed as statistical techniques, however, there is no way to assess the probability that the patterns they uncover are the result of chance. Moreover, the implications of the multiple hypothesis tests inherent in these techniques for the false positive rate of the results are not widely understood. This article fills both gaps by tailoring a simple permutation test to the needs of QCA users and adjusting the Type I error rate of the test to take into account the multiple hypothesis tests inherent in QCA. An empirical application—a reexamination of a study of protest-movement success in the Arab Spring—highlights the need for such a test by showing that even very strong QCA results may plausibly be the result of chance.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {QCA, fsQCA, csQCA, mvQCA, qualitative comparative analysis, permutation test, social revolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Guarding Against False Positives in Qualitative Comparative Analysis'' Description:'The various methodological techniques that fall under the umbrella description of qualitative comparative analysis (QCA) are increasingly popular for modeling causal complexity and necessary or sufficient conditions in medium-N settings. Because QCA methods are not designed as statistical techniques, however, there is no way to assess the probability that the patterns they uncover are the result of chance. Moreover, the implications of the multiple hypothesis tests inherent in these techniques for the false positive rate of the results are not widely understood. This article fills both gaps by tailoring a simple permutation test to the needs of QCA users and adjusting the Type I error rate of the test to take into account the multiple hypothesis tests inherent in QCA. An empirical application—a reexamination of a study of protest-movement success in the Arab Spring—highlights the need for such a test by showing that even very strong QCA results may plausibly be the result of chance.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The various methodological techniques that fall under the umbrella description of qualitative comparative analysis (QCA) are increasingly popular for modeling causal complexity and necessary or sufficient conditions in medium-N settings. Because QCA methods are not designed as statistical techniques, however, there is no way to assess the probability that the patterns they uncover are the result of chance. Moreover, the implications of the multiple hypothesis tests inherent in these techniques for the false positive rate of the results are not widely understood. This article fills both gaps by tailoring a simple permutation test to the needs of QCA users and adjusting the Type I error rate of the test to take into account the multiple hypothesis tests inherent in QCA. An empirical application—a reexamination of a study of protest-movement success in the Arab Spring—highlights the need for such a test by showing that even very strong QCA results may plausibly be the result of chance.","Subject":"Mathematical Sciences","Keywords":"QCA, fsQCA, csQCA, mvQCA, qualitative comparative analysis, permutation test, social revolution"},{"pid":"doi:10.7910/DVN/H4AOQP","Title":"Replication Data for: Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones' Description:'This work is concerned with the analysis of marketing data on the activation of applications (apps) on mobile devices. Each application has a hashed identification number that is specific to the device on which it has been installed. This number can be registered by a platform at each activation of the application. Activations on the same device are linked together using the identification number. By focusing on activations that took place at a business location one can create a capture-recapture data set about devices, that is users, that 'visited' the business: the units are owners of mobile devices and the capture occasions are time intervals such as days. A unit is captured when she activates an application, provided that this activation is recorded by the platform providing the data.Statistical capture-recapture techniques can be applied to the app data to estimate the total number of users that visited the business over a time period, thereby providing an indirect estimate of foot traffic. This article argues that the robust design, a method for dealing with a nested mark-recapture experiment, can be used in this context. A new algorithm for estimating the parameters of a robust design with a fairly large number of capture occasions and a simple parametric bootstrap variance estimator are proposed. Moreover, new estimation methods and new theoretical results are introduced for a wider application of the robust design. This is used to analyze a data set about the mobile devices that visited the auto-dealerships of a major auto brand in a US metropolitan area over a period of one year and a half. Technical developments are provided in the Supplementary Material available online.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Heterogeneity; Jolly-Seber model; Poisson regression; Robust design+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones' Description:'This work is concerned with the analysis of marketing data on the activation of applications (apps) on mobile devices. Each application has a hashed identification number that is specific to the device on which it has been installed. This number can be registered by a platform at each activation of the application. Activations on the same device are linked together using the identification number. By focusing on activations that took place at a business location one can create a capture-recapture data set about devices, that is users, that 'visited' the business: the units are owners of mobile devices and the capture occasions are time intervals such as days. A unit is captured when she activates an application, provided that this activation is recorded by the platform providing the data.Statistical capture-recapture techniques can be applied to the app data to estimate the total number of users that visited the business over a time period, thereby providing an indirect estimate of foot traffic. This article argues that the robust design, a method for dealing with a nested mark-recapture experiment, can be used in this context. A new algorithm for estimating the parameters of a robust design with a fairly large number of capture occasions and a simple parametric bootstrap variance estimator are proposed. Moreover, new estimation methods and new theoretical results are introduced for a wider application of the robust design. This is used to analyze a data set about the mobile devices that visited the auto-dealerships of a major auto brand in a US metropolitan area over a period of one year and a half. Technical developments are provided in the Supplementary Material available online.' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This work is concerned with the analysis of marketing data on the activation of applications (apps) on mobile devices. Each application has a hashed identification number that is specific to the device on which it has been installed. This number can be registered by a platform at each activation of the application. Activations on the same device are linked together using the identification number. By focusing on activations that took place at a business location one can create a capture-recapture data set about devices, that is users, that 'visited' the business: the units are owners of mobile devices and the capture occasions are time intervals such as days. A unit is captured when she activates an application, provided that this activation is recorded by the platform providing the data.Statistical capture-recapture techniques can be applied to the app data to estimate the total number of users that visited the business over a time period, thereby providing an indirect estimate of foot traffic. This article argues that the robust design, a method for dealing with a nested mark-recapture experiment, can be used in this context. A new algorithm for estimating the parameters of a robust design with a fairly large number of capture occasions and a simple parametric bootstrap variance estimator are proposed. Moreover, new estimation methods and new theoretical results are introduced for a wider application of the robust design. This is used to analyze a data set about the mobile devices that visited the auto-dealerships of a major auto brand in a US metropolitan area over a period of one year and a half. Technical developments are provided in the Supplementary Material available online.","Subject":"Mathematical Sciences","Keywords":"Heterogeneity; Jolly-Seber model; Poisson regression; Robust design"},{"pid":"doi:10.7910/DVN/H9X2AB","Title":"Replication Data for: Voter Registration Databases and MRP: Toward the Use of Large Scale Databases in Public Opinion Research","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Voter Registration Databases and MRP: Toward the Use of Large Scale Databases in Public Opinion Research' Description:'Replication materials for 'Voter Registration Databases and MRP' paper' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bayesian modeling; Data augmentation; Hierarchical modeling; Response bias; Survey design+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Voter Registration Databases and MRP: Toward the Use of Large Scale Databases in Public Opinion Research' Description:'Replication materials for 'Voter Registration Databases and MRP' paper' Subject:'Computer and Information Science; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication materials for 'Voter Registration Databases and MRP' paper","Subject":" Mathematical Sciences","Keywords":"Bayesian modeling; Data augmentation; Hierarchical modeling; Response bias; Survey design"},{"pid":"doi:10.7910/DVN/HGJAQT","Title":"Data Repository for Offshore Cargo Scheduling Experiment","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data Repository for Offshore Cargo Scheduling Experiment' Description:'Experiment data for scheduling offshore floating terminals for cargo service. The data is manipulated to hide the sensitive information but still real-wolrd dataset retrieved from a offshore logistics service provider.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Offshore cargo+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data Repository for Offshore Cargo Scheduling Experiment' Description:'Experiment data for scheduling offshore floating terminals for cargo service. The data is manipulated to hide the sensitive information but still real-wolrd dataset retrieved from a offshore logistics service provider.' Subject:'Computer and Information Science; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Experiment data for scheduling offshore floating terminals for cargo service. The data is manipulated to hide the sensitive information but still real-wolrd dataset retrieved from a offshore logistics service provider.","Subject":" Mathematical Sciences","Keywords":"Offshore cargo"},{"pid":"doi:10.7910/DVN/HL2L86","Title":"Webinars for Literature Review on COVID-19","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Webinars for Literature Review on COVID-19' Description:'This webinar series provide literature review on Covid-19 related studies.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19, Coronavirus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Webinars for Literature Review on COVID-19' Description:'This webinar series provide literature review on Covid-19 related studies.' Subject:'Business and Management; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This webinar series provide literature review on Covid-19 related studies.","Subject":" Mathematical Sciences","Keywords":"COVID-19, Coronavirus"},{"pid":"doi:10.7910/DVN/HMOEJO","Title":"Air Quality-Lung Cancer Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Air Quality-Lung Cancer Data' Description:'Data comes from two different sources. Population-based lung cancer incidence rates for the period 2010-2014 (most updated data) were abstracted from National Cancer Institute state cancer profiles (Schwartz et al. 1996).This national county-level database of cancer data is collected by state public health surveillance systems. The domain specific county level environmental quality index (EQI) data for the period 2000-2005 were abstracted from United States Environmental Protection Agency (USEPA) profile. Complete descriptions of the datasets used in the EQI are provided in Lobdell’s paper (Lobdell 2011). Data were merged based on the Federal Information Processing Standards (FIPS) code. Out of 3144 counties in United States this study has available information for 2602 counties: Data was not available for four states namely Kansas, Michigan, Minnesota and Nevada due to state legislation and regulations which prohibit the release of county-level data to outside entities, county whose lung cancer mortality information is missing were omitted from the data set, the Union county, Florida is an outlier in terms of mortality information which was deleted from the data set, in the process of local control analysis this study experiences two (cluster 28 and 29) non-informative clusters (non-informative cluster is one for which either treatment or control group information is missing). For analysis, non-informative clusters information was deleted from the data set.Three types of variables are used in this study: (i) lung cancer mortality as an outcome variable (ii) binary treatment indicator is the PM2.5 high (greater than 10.59 mg/m3) vs. low (less than 10.59 mg/m3) (iii) three potential X confounder for clustering namely land EQI, sociodemographic EQI and built EQI. For each index, higher values correspond to poorer environmental quality (Jagai et al. 2017). As PM2.5 is one of the indicators for measuring air EQI, that is why we do not consider the air EQI to avoid confounding effects.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Air Quality; Local Contro Analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Air Quality-Lung Cancer Data' Description:'Data comes from two different sources. Population-based lung cancer incidence rates for the period 2010-2014 (most updated data) were abstracted from National Cancer Institute state cancer profiles (Schwartz et al. 1996).This national county-level database of cancer data is collected by state public health surveillance systems. The domain specific county level environmental quality index (EQI) data for the period 2000-2005 were abstracted from United States Environmental Protection Agency (USEPA) profile. Complete descriptions of the datasets used in the EQI are provided in Lobdell’s paper (Lobdell 2011). Data were merged based on the Federal Information Processing Standards (FIPS) code. Out of 3144 counties in United States this study has available information for 2602 counties: Data was not available for four states namely Kansas, Michigan, Minnesota and Nevada due to state legislation and regulations which prohibit the release of county-level data to outside entities, county whose lung cancer mortality information is missing were omitted from the data set, the Union county, Florida is an outlier in terms of mortality information which was deleted from the data set, in the process of local control analysis this study experiences two (cluster 28 and 29) non-informative clusters (non-informative cluster is one for which either treatment or control group information is missing). For analysis, non-informative clusters information was deleted from the data set.Three types of variables are used in this study: (i) lung cancer mortality as an outcome variable (ii) binary treatment indicator is the PM2.5 high (greater than 10.59 mg/m3) vs. low (less than 10.59 mg/m3) (iii) three potential X confounder for clustering namely land EQI, sociodemographic EQI and built EQI. For each index, higher values correspond to poorer environmental quality (Jagai et al. 2017). As PM2.5 is one of the indicators for measuring air EQI, that is why we do not consider the air EQI to avoid confounding effects.' Subject:'Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data comes from two different sources. Population-based lung cancer incidence rates for the period 2010-2014 (most updated data) were abstracted from National Cancer Institute state cancer profiles (Schwartz et al. 1996).This national county-level database of cancer data is collected by state public health surveillance systems. The domain specific county level environmental quality index (EQI) data for the period 2000-2005 were abstracted from United States Environmental Protection Agency (USEPA) profile. Complete descriptions of the datasets used in the EQI are provided in Lobdell’s paper (Lobdell 2011). Data were merged based on the Federal Information Processing Standards (FIPS) code. Out of 3144 counties in United States this study has available information for 2602 counties: Data was not available for four states namely Kansas, Michigan, Minnesota and Nevada due to state legislation and regulations which prohibit the release of county-level data to outside entities, county whose lung cancer mortality information is missing were omitted from the data set, the Union county, Florida is an outlier in terms of mortality information which was deleted from the data set, in the process of local control analysis this study experiences two (cluster 28 and 29) non-informative clusters (non-informative cluster is one for which either treatment or control group information is missing). For analysis, non-informative clusters information was deleted from the data set.Three types of variables are used in this study: (i) lung cancer mortality as an outcome variable (ii) binary treatment indicator is the PM2.5 high (greater than 10.59 mg/m3) vs. low (less than 10.59 mg/m3) (iii) three potential X confounder for clustering namely land EQI, sociodemographic EQI and built EQI. For each index, higher values correspond to poorer environmental quality (Jagai et al. 2017). As PM2.5 is one of the indicators for measuring air EQI, that is why we do not consider the air EQI to avoid confounding effects.","Subject":" Mathematical Sciences","Keywords":"Air Quality; Local Contro Analysis"},{"pid":"doi:10.7910/DVN/HNY73P","Title":"RSE based on zonotopes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'RSE based on zonotopes' Description:'Code for manuscript 'Real-time reachable set estimation for linear time-delay systems based on zonotopes'' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {reachable set estimation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'RSE based on zonotopes' Description:'Code for manuscript 'Real-time reachable set estimation for linear time-delay systems based on zonotopes'' Subject:'Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Code for manuscript 'Real-time reachable set estimation for linear time-delay systems based on zonotopes'","Subject":" Mathematical Sciences","Keywords":"reachable set estimation"},{"pid":"doi:10.7910/DVN/HRLHA4","Title":"Replication Data for: Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data' Description:'Replication code and sample data used for above mentioned publication in Political Analysis.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {case selection; gwr-se; gwr-sl; mixed-methods; spatial+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data' Description:'Replication code and sample data used for above mentioned publication in Political Analysis.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication code and sample data used for above mentioned publication in Political Analysis.","Subject":"Mathematical Sciences","Keywords":"case selection; gwr-se; gwr-sl; mixed-methods; spatial"},{"pid":"doi:10.7910/DVN/HTMX3K","Title":"Replication Data for: Adjusting for Confounding with Text Matching","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Adjusting for Confounding with Text Matching' Description:'We identify situations in which conditioning on text can address confounding in observational studies. We argue that a matching approach is particularly well-suited to this task, but existing matching methods are ill-equipped to handle high-dimensional text data. Our proposed solution is to estimate a low-dimensional summary of the text and condition on this summary via matching. We propose a method of text matching, topical inverse regression matching, that allows the analyst to match both on the topical content of confounding documents and the probability that each of these documents is treated. We validate our approach and illustrate the importance of conditioning on text to address confounding with two applications: the effect of perceptions of author gender on citation counts in the international relations literature and the effects of censorship on Chinese social media users.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Causal inference; Censorship; International relations; Statistical matching; Text analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Adjusting for Confounding with Text Matching' Description:'We identify situations in which conditioning on text can address confounding in observational studies. We argue that a matching approach is particularly well-suited to this task, but existing matching methods are ill-equipped to handle high-dimensional text data. Our proposed solution is to estimate a low-dimensional summary of the text and condition on this summary via matching. We propose a method of text matching, topical inverse regression matching, that allows the analyst to match both on the topical content of confounding documents and the probability that each of these documents is treated. We validate our approach and illustrate the importance of conditioning on text to address confounding with two applications: the effect of perceptions of author gender on citation counts in the international relations literature and the effects of censorship on Chinese social media users.' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We identify situations in which conditioning on text can address confounding in observational studies. We argue that a matching approach is particularly well-suited to this task, but existing matching methods are ill-equipped to handle high-dimensional text data. Our proposed solution is to estimate a low-dimensional summary of the text and condition on this summary via matching. We propose a method of text matching, topical inverse regression matching, that allows the analyst to match both on the topical content of confounding documents and the probability that each of these documents is treated. We validate our approach and illustrate the importance of conditioning on text to address confounding with two applications: the effect of perceptions of author gender on citation counts in the international relations literature and the effects of censorship on Chinese social media users.","Subject":"Mathematical Sciences","Keywords":"Causal inference; Censorship; International relations; Statistical matching; Text analysis"},{"pid":"doi:10.7910/DVN/HWHKSG","Title":"The Distribution of COVID-19 Mortality","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Distribution of COVID-19 Mortality' Description:'These are the Matlab code files for the computations in 'The Distribution of COVID-19 Mortality', co-authored with Arturo Ramos' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19 mortality+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Distribution of COVID-19 Mortality' Description:'These are the Matlab code files for the computations in 'The Distribution of COVID-19 Mortality', co-authored with Arturo Ramos' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are the Matlab code files for the computations in 'The Distribution of COVID-19 Mortality', co-authored with Arturo Ramos","Subject":"Mathematical Sciences","Keywords":"COVID-19 mortality"},{"pid":"doi:10.7910/DVN/HYRXVV","Title":"A Meta-Analysis of Country Level Studies on Environmental Change and Migration | Replication Data and Code","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Meta-Analysis of Country Level Studies on Environmental Change and Migration | Replication Data and Code' Description:'Complete replication data and code for article 'A Meta-Analysis of Country Level Studies on Environmental Change and Migration'. The rdata file contains both the meta and country level data. The data is also saved separately as xlsx files.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Climate change; Environmental change; Meta-Analysis; Meta-Data; Migration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Meta-Analysis of Country Level Studies on Environmental Change and Migration | Replication Data and Code' Description:'Complete replication data and code for article 'A Meta-Analysis of Country Level Studies on Environmental Change and Migration'. The rdata file contains both the meta and country level data. The data is also saved separately as xlsx files.' Subject:'Agricultural Sciences; Earth and Environmental Sciences; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Complete replication data and code for article 'A Meta-Analysis of Country Level Studies on Environmental Change and Migration'. The rdata file contains both the meta and country level data. The data is also saved separately as xlsx files.","Subject":" Mathematical Sciences","Keywords":"Climate change; Environmental change; Meta-Analysis; Meta-Data; Migration"},{"pid":"doi:10.7910/DVN/HZQYI9","Title":"New Perspectives on Star Formation, the Milky Way, and Isaac Newton","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'New Perspectives on Star Formation, the Milky Way, and Isaac Newton' Description:'Presentation date: January 17, 2020 - Location: University of Connecticut, Storrs, CT - Abstract: These are Alyssa Goodman's presentation slides from the 6th annual New England Star Formation Meeting, held at the University Connecticut on January 17, 2020.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Milky Way; Star Formation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'New Perspectives on Star Formation, the Milky Way, and Isaac Newton' Description:'Presentation date: January 17, 2020 - Location: University of Connecticut, Storrs, CT - Abstract: These are Alyssa Goodman's presentation slides from the 6th annual New England Star Formation Meeting, held at the University Connecticut on January 17, 2020.' Subject:'Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation date: January 17, 2020 - Location: University of Connecticut, Storrs, CT - Abstract: These are Alyssa Goodman's presentation slides from the 6th annual New England Star Formation Meeting, held at the University Connecticut on January 17, 2020.","Subject":" Mathematical Sciences","Keywords":"Milky Way; Star Formation"},{"pid":"doi:10.7910/DVN/I7Y3G2","Title":"Replication Data for: 'Evaluating measurement invariance in categorical data latent variable models with the EPC-interest'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Evaluating measurement invariance in categorical data latent variable models with the EPC-interest'' Description:'Many variables crucial to the social sciences are not directly observed but instead are latent and measured indirectly. When an external variable of interest affects this measurement, estimates of its relationship with the latent variable will then be biased. Such violations of ``measurement invariance'' may, for example, confound true differences across countries in postmaterialism with measurement differences.To deal with this problem, researchers commonly aim at ``partial measurement invariance'', i.e. to account for those differences that may be present and important. To evaluate this importance directly through sensitivity analysis, the ``EPC-interest'' was recently introduced for continuous data. However, latent variable models in the social sciences often use categorical data. The current paper therefore extends the EPC-interest to latent variable models for categorical data and demonstrates its use in example analyses of US Senate votes as well as respondent rankings of postmaterialism values in the World Values Study. This archive contains data, R code, and Latent GOLD (choice) syntax to run the simulation, Application 1, and Application 2 from the paper. ' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Categorical data; Cross-national; Differential item functioning; Ideal point; Latent class analysis; Latent variable; Measurement invariance; Multilevel; Sensitivity analysis; Structural equation modeling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Evaluating measurement invariance in categorical data latent variable models with the EPC-interest'' Description:'Many variables crucial to the social sciences are not directly observed but instead are latent and measured indirectly. When an external variable of interest affects this measurement, estimates of its relationship with the latent variable will then be biased. Such violations of ``measurement invariance'' may, for example, confound true differences across countries in postmaterialism with measurement differences.To deal with this problem, researchers commonly aim at ``partial measurement invariance'', i.e. to account for those differences that may be present and important. To evaluate this importance directly through sensitivity analysis, the ``EPC-interest'' was recently introduced for continuous data. However, latent variable models in the social sciences often use categorical data. The current paper therefore extends the EPC-interest to latent variable models for categorical data and demonstrates its use in example analyses of US Senate votes as well as respondent rankings of postmaterialism values in the World Values Study. This archive contains data, R code, and Latent GOLD (choice) syntax to run the simulation, Application 1, and Application 2 from the paper. ' Subject:'Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Many variables crucial to the social sciences are not directly observed but instead are latent and measured indirectly. When an external variable of interest affects this measurement, estimates of its relationship with the latent variable will then be biased. Such violations of ``measurement invariance'' may, for example, confound true differences across countries in postmaterialism with measurement differences.To deal with this problem, researchers commonly aim at ``partial measurement invariance'', i.e. to account for those differences that may be present and important. To evaluate this importance directly through sensitivity analysis, the ``EPC-interest'' was recently introduced for continuous data. However, latent variable models in the social sciences often use categorical data. The current paper therefore extends the EPC-interest to latent variable models for categorical data and demonstrates its use in example analyses of US Senate votes as well as respondent rankings of postmaterialism values in the World Values Study. This archive contains data, R code, and Latent GOLD (choice) syntax to run the simulation, Application 1, and Application 2 from the paper. ","Subject":"Mathematical Sciences","Keywords":"Categorical data; Cross-national; Differential item functioning; Ideal point; Latent class analysis; Latent variable; Measurement invariance; Multilevel; Sensitivity analysis; Structural equation modeling"},{"pid":"doi:10.7910/DVN/I9HGT6","Title":"Replication Data for: 'Reserve Prices in Internet Advertising Auctions: A Field Experiment'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Reserve Prices in Internet Advertising Auctions: A Field Experiment'' Description:'This is the replication package for 'Reserve Prices in Internet Advertising Auctions: A Field Experiment,' accepted in 2022 by the Journal of Political Economy.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Highly recommended to include keywords for discoverability of your dataset, use the '+' sign to enter each new word+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Reserve Prices in Internet Advertising Auctions: A Field Experiment'' Description:'This is the replication package for 'Reserve Prices in Internet Advertising Auctions: A Field Experiment,' accepted in 2022 by the Journal of Political Economy.' Subject:'Business and Management; Computer and Information Science; Engineering; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is the replication package for 'Reserve Prices in Internet Advertising Auctions: A Field Experiment,' accepted in 2022 by the Journal of Political Economy.","Subject":" Mathematical Sciences","Keywords":"Highly recommended to include keywords for discoverability of your dataset, use the '+' sign to enter each new word"},{"pid":"doi:10.7910/DVN/IBK1LH","Title":"Replication Data for: Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data' Description:'Mixed-methods designs, especially those where cases selected for small-N analysis (SNA) are nested within a large-N analysis (LNA), have become increasingly popular. Yet, since the LNA in this approach assumes that units are independently distributed, such designs are unable to account for spatial dependence, and dependence becomes a threat to inference, rather than an issue for empirical or theoretical investigation. This is unfortunate, since research in political science has recently drawn attention to diffusion and interconnectedness more broadly. In this paper we develop a framework for mixed-methods research with spatially dependent data—a framework we label “geo-nested analysis”—where insights gleaned at each step of the research process set the agenda for the next phase and where case selection for SNA is based on diagnostics of a spatial-econometric analysis. We illustrate our framework using data from a seminal study of homicides in the United States.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {case selection; GWR-SE; GWR-SL; mixed-methods; spatial+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data' Description:'Mixed-methods designs, especially those where cases selected for small-N analysis (SNA) are nested within a large-N analysis (LNA), have become increasingly popular. Yet, since the LNA in this approach assumes that units are independently distributed, such designs are unable to account for spatial dependence, and dependence becomes a threat to inference, rather than an issue for empirical or theoretical investigation. This is unfortunate, since research in political science has recently drawn attention to diffusion and interconnectedness more broadly. In this paper we develop a framework for mixed-methods research with spatially dependent data—a framework we label “geo-nested analysis”—where insights gleaned at each step of the research process set the agenda for the next phase and where case selection for SNA is based on diagnostics of a spatial-econometric analysis. We illustrate our framework using data from a seminal study of homicides in the United States.' Subject:'Computer and Information Science; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mixed-methods designs, especially those where cases selected for small-N analysis (SNA) are nested within a large-N analysis (LNA), have become increasingly popular. Yet, since the LNA in this approach assumes that units are independently distributed, such designs are unable to account for spatial dependence, and dependence becomes a threat to inference, rather than an issue for empirical or theoretical investigation. This is unfortunate, since research in political science has recently drawn attention to diffusion and interconnectedness more broadly. In this paper we develop a framework for mixed-methods research with spatially dependent data—a framework we label “geo-nested analysis”—where insights gleaned at each step of the research process set the agenda for the next phase and where case selection for SNA is based on diagnostics of a spatial-econometric analysis. We illustrate our framework using data from a seminal study of homicides in the United States.","Subject":" Mathematical Sciences","Keywords":"case selection; GWR-SE; GWR-SL; mixed-methods; spatial"},{"pid":"doi:10.7910/DVN/II5JZG","Title":"Randomly generated problems for the complexity resolution problem in a multi sector planning context","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Randomly generated problems for the complexity resolution problem in a multi sector planning context' Description:'All the randomly generated problems in this data set involve a number A of aircraft passing through a square multi-sector area (MSA) of side 600 km. This MSA is composed of four square adjacent sectors of side 300 km. The aircraft use four different flight levels that belong to the same MSA. The aircraft trajectories are randomly generated in such a way that all aircraft are either flying from bottom to upper MSA borders, or from left to right borders. Taking the origin at the bottom left corner of the MSA, the distance between the first waypoint and the origin is randomly generated using the continuous uniform distribution U[75 km, 595 km]. Each trajectory is composed of three waypoints located on the MSA edges. The first waypoint is located on either the bottom or the left MSA border. The other two waypoints are generated randomly along the opposing sector borders using a uniform distribution.The cruise speeds of the aircraft are randomly generated using the continuous uniform distribution U[458 knots, 506 knots]. The time at which the aircraft enters the MSA follows the continuous uniform distribution U[20 min, 90 min]. The flight level used for each trajectory is randomly generated using a discrete uniform distribution U{1, K}. A constant flight level is used by 90% of the aircraft. The others undergo one flight level change at the internal boundary. For these aircraft, the second flight level is randomly generated using U{1, K} while excluding the first sector flight level.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Air traffic control, Conflict detection and resolution, Air traffic management, Multi-sector planning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Randomly generated problems for the complexity resolution problem in a multi sector planning context' Description:'All the randomly generated problems in this data set involve a number A of aircraft passing through a square multi-sector area (MSA) of side 600 km. This MSA is composed of four square adjacent sectors of side 300 km. The aircraft use four different flight levels that belong to the same MSA. The aircraft trajectories are randomly generated in such a way that all aircraft are either flying from bottom to upper MSA borders, or from left to right borders. Taking the origin at the bottom left corner of the MSA, the distance between the first waypoint and the origin is randomly generated using the continuous uniform distribution U[75 km, 595 km]. Each trajectory is composed of three waypoints located on the MSA edges. The first waypoint is located on either the bottom or the left MSA border. The other two waypoints are generated randomly along the opposing sector borders using a uniform distribution.The cruise speeds of the aircraft are randomly generated using the continuous uniform distribution U[458 knots, 506 knots]. The time at which the aircraft enters the MSA follows the continuous uniform distribution U[20 min, 90 min]. The flight level used for each trajectory is randomly generated using a discrete uniform distribution U{1, K}. A constant flight level is used by 90% of the aircraft. The others undergo one flight level change at the internal boundary. For these aircraft, the second flight level is randomly generated using U{1, K} while excluding the first sector flight level.' Subject:'Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"All the randomly generated problems in this data set involve a number A of aircraft passing through a square multi-sector area (MSA) of side 600 km. This MSA is composed of four square adjacent sectors of side 300 km. The aircraft use four different flight levels that belong to the same MSA. The aircraft trajectories are randomly generated in such a way that all aircraft are either flying from bottom to upper MSA borders, or from left to right borders. Taking the origin at the bottom left corner of the MSA, the distance between the first waypoint and the origin is randomly generated using the continuous uniform distribution U[75 km, 595 km]. Each trajectory is composed of three waypoints located on the MSA edges. The first waypoint is located on either the bottom or the left MSA border. The other two waypoints are generated randomly along the opposing sector borders using a uniform distribution.The cruise speeds of the aircraft are randomly generated using the continuous uniform distribution U[458 knots, 506 knots]. The time at which the aircraft enters the MSA follows the continuous uniform distribution U[20 min, 90 min]. The flight level used for each trajectory is randomly generated using a discrete uniform distribution U{1, K}. A constant flight level is used by 90% of the aircraft. The others undergo one flight level change at the internal boundary. For these aircraft, the second flight level is randomly generated using U{1, K} while excluding the first sector flight level.","Subject":" Mathematical Sciences","Keywords":"Air traffic control, Conflict detection and resolution, Air traffic management, Multi-sector planning"},{"pid":"doi:10.7910/DVN/IOWJEU","Title":"Matemática do Ensino Médio do IFBA - Parte 1","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Matemática do Ensino Médio do IFBA - Parte 1' Description:'This material is a didactic module for teaching and learning mathematics, and is the result of the PIBIC research project 'Creation of learning objects for digital platforms', financed by Public Notice Nº18/2020/PRPGI/IFBA quotas.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ensino da matemática+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Matemática do Ensino Médio do IFBA - Parte 1' Description:'This material is a didactic module for teaching and learning mathematics, and is the result of the PIBIC research project 'Creation of learning objects for digital platforms', financed by Public Notice Nº18/2020/PRPGI/IFBA quotas.' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This material is a didactic module for teaching and learning mathematics, and is the result of the PIBIC research project 'Creation of learning objects for digital platforms', financed by Public Notice Nº18/2020/PRPGI/IFBA quotas.","Subject":"Mathematical Sciences","Keywords":"ensino da matemática"},{"pid":"doi:10.7910/DVN/IU0DUR","Title":"Cell Transmission Representation of the Springfield Network","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cell Transmission Representation of the Springfield Network' Description:'The dataset includes the data of a transportation network adapted from downtown Springfield, Illinois. The dataset includes the graphical representation of the network, cell transmission model representation, traffic demand levels, and traffic signal timing parameters. The demand levels are hypothetical and traffic signal timings are those that are optimized by Vistro. The files are numbered to show the order in which the files should be viewed.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Traffic Assignment; Traffic Flow; Traffic Metering; Traffic Signal Timing; Transportation Network+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cell Transmission Representation of the Springfield Network' Description:'The dataset includes the data of a transportation network adapted from downtown Springfield, Illinois. The dataset includes the graphical representation of the network, cell transmission model representation, traffic demand levels, and traffic signal timing parameters. The demand levels are hypothetical and traffic signal timings are those that are optimized by Vistro. The files are numbered to show the order in which the files should be viewed.' Subject:'Computer and Information Science; Engineering; Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset includes the data of a transportation network adapted from downtown Springfield, Illinois. The dataset includes the graphical representation of the network, cell transmission model representation, traffic demand levels, and traffic signal timing parameters. The demand levels are hypothetical and traffic signal timings are those that are optimized by Vistro. The files are numbered to show the order in which the files should be viewed.","Subject":" Mathematical Sciences","Keywords":"Traffic Assignment; Traffic Flow; Traffic Metering; Traffic Signal Timing; Transportation Network"},{"pid":"doi:10.7910/DVN/IYNMDD","Title":"Black holes (The Architecture of Space-time 2021)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Black holes (The Architecture of Space-time 2021)' Description:'Seminar presentation for Black holes (seminar-III) for the Architecture of Space-time at the Continuum collaboration.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Black holes; General Relativity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Black holes (The Architecture of Space-time 2021)' Description:'Seminar presentation for Black holes (seminar-III) for the Architecture of Space-time at the Continuum collaboration.' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Seminar presentation for Black holes (seminar-III) for the Architecture of Space-time at the Continuum collaboration.","Subject":"Mathematical Sciences","Keywords":"Black holes; General Relativity"},{"pid":"doi:10.7910/DVN/J1SVRW","Title":"The Prediction Project","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Prediction Project' Description:'Presentation Date: Wednesday, October 5, 2016.Location: Cambridge, MA. Abstract: Making predictions based on theory and on data has only been the scientific way for the past 400 years or so; before that, there was much more reliance on what we would call philosophy. Alyssa A. Goodman is currently leading the creation of the most modular HarvardX online course yet created, called PredictionX. Twenty-five faculty members are participating in conversations with Goodman about the history of how humanity has predicted its own future, from ancient Mesopotamians reading signs in sheep entrails to modern computer simulation of climate change. At Radcliffe, Goodman is working on a companion book for PredictionX, currently titled “The Past and Present of the Future.”' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Prediction Project' Description:'Presentation Date: Wednesday, October 5, 2016.Location: Cambridge, MA. Abstract: Making predictions based on theory and on data has only been the scientific way for the past 400 years or so; before that, there was much more reliance on what we would call philosophy. Alyssa A. Goodman is currently leading the creation of the most modular HarvardX online course yet created, called PredictionX. Twenty-five faculty members are participating in conversations with Goodman about the history of how humanity has predicted its own future, from ancient Mesopotamians reading signs in sheep entrails to modern computer simulation of climate change. At Radcliffe, Goodman is working on a companion book for PredictionX, currently titled “The Past and Present of the Future.”' Subject:'Arts and Humanities; Astronomy and Astrophysics; Computer and Information Science; Earth and Environmental Sciences; Mathematical Sciences; Medicine, Health and Life Sciences; Physics; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Presentation Date: Wednesday, October 5, 2016.Location: Cambridge, MA. Abstract: Making predictions based on theory and on data has only been the scientific way for the past 400 years or so; before that, there was much more reliance on what we would call philosophy. Alyssa A. Goodman is currently leading the creation of the most modular HarvardX online course yet created, called PredictionX. Twenty-five faculty members are participating in conversations with Goodman about the history of how humanity has predicted its own future, from ancient Mesopotamians reading signs in sheep entrails to modern computer simulation of climate change. At Radcliffe, Goodman is working on a companion book for PredictionX, currently titled “The Past and Present of the Future.”","Subject":" Mathematical Sciences","Keywords":"prediction"},{"pid":"doi:10.7910/DVN/JMMOEA","Title":"Determinants of bilateral trade flows","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Determinants of bilateral trade flows' Description:'The dataset contains a measure of bilateral trade together with 71 potential determinants of international trade for 26 European Union countries. ' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {determinants of international trade; European Union; international trade+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Determinants of bilateral trade flows' Description:'The dataset contains a measure of bilateral trade together with 71 potential determinants of international trade for 26 European Union countries. ' Subject:'Business and Management; Mathematical Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset contains a measure of bilateral trade together with 71 potential determinants of international trade for 26 European Union countries. ","Subject":" Mathematical Sciences","Keywords":"determinants of international trade; European Union; international trade"},{"pid":"doi:10.7910/DVN/JU2ARJ","Title":"Replication Data for Evaluation of More Doctors Program in Brazil","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Evaluation of More Doctors Program in Brazil' Description:'Replication Data for Analyses for Application (2) Primary Health Care and Avoidable Hospitalizations in the manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Causal effects; Difference-in-difference+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Evaluation of More Doctors Program in Brazil' Description:'Replication Data for Analyses for Application (2) Primary Health Care and Avoidable Hospitalizations in the manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data for Analyses for Application (2) Primary Health Care and Avoidable Hospitalizations in the manuscript 'Causal measures using generalized difference-in-difference approach with nonlinear models'","Subject":"Mathematical Sciences","Keywords":"Causal effects; Difference-in-difference"},{"pid":"doi:10.7910/DVN/JWE5AX","Title":"Exotic ribbon disks and symplectic surfaces","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Exotic ribbon disks and symplectic surfaces' Description:'This page contains additional documentation for the computer calculations used in the paper 'Exotic ribbon disks and symplectic surfaces'. The file 'A guide (README).pdf' explains these calculations and the files contained in this dataset. These include calculations of isometry groups of hyperbolic 3-manifolds using the software SnapPy and knot invariants from knot Floer homology using the HFK Calculator. All software used is publicly available, and can be located using the citations in the paper.' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {knot diagrams, hyperbolic 3-manifolds, knot Floer homology, Heegaard Floer homology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Exotic ribbon disks and symplectic surfaces' Description:'This page contains additional documentation for the computer calculations used in the paper 'Exotic ribbon disks and symplectic surfaces'. The file 'A guide (README).pdf' explains these calculations and the files contained in this dataset. These include calculations of isometry groups of hyperbolic 3-manifolds using the software SnapPy and knot invariants from knot Floer homology using the HFK Calculator. All software used is publicly available, and can be located using the citations in the paper.' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This page contains additional documentation for the computer calculations used in the paper 'Exotic ribbon disks and symplectic surfaces'. The file 'A guide (README).pdf' explains these calculations and the files contained in this dataset. These include calculations of isometry groups of hyperbolic 3-manifolds using the software SnapPy and knot invariants from knot Floer homology using the HFK Calculator. All software used is publicly available, and can be located using the citations in the paper.","Subject":"Mathematical Sciences","Keywords":"knot diagrams, hyperbolic 3-manifolds, knot Floer homology, Heegaard Floer homology"},{"pid":"doi:10.7910/DVN/K1GGQW","Title":"A systematic study on classical cryptographic cypher in order to design a smallest cipher","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A systematic study on classical cryptographic cypher in order to design a smallest cipher' Description:'The cryptography is the branch of Cryptology. It is a combination of mathematics and computer Science. It is the study of obscuring information in cyberspace. Cipher is a set of algorithm which comprise of encryption and decryption. The cipher paly important role in modern technology. The technologies involving communication including the Internet, Mobile Phones, Digital Television, and ATM machine rely on cipher in order to maintain security and privacy. Thinking about aforesaid importance of cipher in cryptography, in this article, we have designed a smallest cipher which may be efficient in RFID chips. The smallest cipher has been comprised of five mathematical operation: Exponentiation, Multiplication, Addition, Subtraction and Division based on systematic study of classical cipher. The proposed cipher is a keyless cipher, but it is very efficient in secret information passing.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cryptography, Classical Cypher, Smallest cipher+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A systematic study on classical cryptographic cypher in order to design a smallest cipher' Description:'The cryptography is the branch of Cryptology. It is a combination of mathematics and computer Science. It is the study of obscuring information in cyberspace. Cipher is a set of algorithm which comprise of encryption and decryption. The cipher paly important role in modern technology. The technologies involving communication including the Internet, Mobile Phones, Digital Television, and ATM machine rely on cipher in order to maintain security and privacy. Thinking about aforesaid importance of cipher in cryptography, in this article, we have designed a smallest cipher which may be efficient in RFID chips. The smallest cipher has been comprised of five mathematical operation: Exponentiation, Multiplication, Addition, Subtraction and Division based on systematic study of classical cipher. The proposed cipher is a keyless cipher, but it is very efficient in secret information passing.' Subject:'Computer and Information Science; Engineering; Mathematical Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The cryptography is the branch of Cryptology. It is a combination of mathematics and computer Science. It is the study of obscuring information in cyberspace. Cipher is a set of algorithm which comprise of encryption and decryption. The cipher paly important role in modern technology. The technologies involving communication including the Internet, Mobile Phones, Digital Television, and ATM machine rely on cipher in order to maintain security and privacy. Thinking about aforesaid importance of cipher in cryptography, in this article, we have designed a smallest cipher which may be efficient in RFID chips. The smallest cipher has been comprised of five mathematical operation: Exponentiation, Multiplication, Addition, Subtraction and Division based on systematic study of classical cipher. The proposed cipher is a keyless cipher, but it is very efficient in secret information passing.","Subject":" Mathematical Sciences","Keywords":"Cryptography, Classical Cypher, Smallest cipher"},{"pid":"doi:10.7910/DVN/KAB5TT","Title":"Replication Data for: A model of indirect cell death caused by tumor vascular damage after high-dose radiotherapy","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A model of indirect cell death caused by tumor vascular damage after high-dose radiotherapy' Description:'Data and code for paper: A model of indirect cell death caused by tumor vascular damage after high-dose radiotherapy' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {radiotherapy, SBRT, radiobiological modelling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A model of indirect cell death caused by tumor vascular damage after high-dose radiotherapy' Description:'Data and code for paper: A model of indirect cell death caused by tumor vascular damage after high-dose radiotherapy' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data and code for paper: A model of indirect cell death caused by tumor vascular damage after high-dose radiotherapy","Subject":"Mathematical Sciences","Keywords":"radiotherapy, SBRT, radiobiological modelling"},{"pid":"doi:10.7910/DVN/KHMMVH","Title":"Finite Geometry website of Steven H. Cullinane","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Finite Geometry website of Steven H. Cullinane' Description:'Zipped file containing the website finitegeometry.org, by Steven H. Cullinane' Subject:'Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Finite Geometries+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Finite Geometry website of Steven H. Cullinane' Description:'Zipped file containing the website finitegeometry.org, by Steven H. Cullinane' Subject:'Mathematical Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Zipped file containing the website finitegeometry.org, by Steven H. Cullinane","Subject":"Mathematical Sciences","Keywords":"Finite Geometries"},{"pid":"doi:10.7910/DVN/KKDZX8","Title":"Program code for 'A Systems Approach to Cultural Evolution'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Program code for 'A Systems Approach to Cultural Evolution'' Description:'An agent-based cultural systems model, implemented in Python, accompanying the manuscript 'A Systems Approach to Cultural Evolution'. Code is also provided to run simulations and generate data for the figures in the manuscript.' Subject:' Mathematical Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cultural evolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Program code for 'A Systems Approach to Cultural Evolution'' Description:'An agent-based cultural systems model, implemented in Python, accompanying the manuscript 'A Systems Approach to Cultural Evolution'. Code is also provided to run simulations and generate data for the figures in the manuscript.' Subject:'Arts and Humanities; Mathematical Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"An agent-based cultural systems model, implemented in Python, accompanying the manuscript 'A Systems Approach to Cultural Evolution'. Code is also provided to run simulations and generate data for the figures in the manuscript.","Subject":" Mathematical Sciences","Keywords":"Cultural evolution"},{"pid":"doi:10.11588/data/10028","Title":"Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]' Description:'Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {BFM; Chromatin; Chromatin folding; Chromatin looping; Cohesin; CTCF; DNA; Dynamic Loop model; Monte-Carlo simulations; Polymer+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]' Description:'Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction.' Subject:'Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction.","Subject":" Physics","Keywords":"BFM; Chromatin; Chromatin folding; Chromatin looping; Cohesin; CTCF; DNA; Dynamic Loop model; Monte-Carlo simulations; Polymer"},{"pid":"doi:10.11588/data/10098","Title":"A European-wide 222Radon and 222Radon progeny comparison study [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A European-wide 222Radon and 222Radon progeny comparison study [Dataset]' Description:'Although atmospheric 222Radon (222Rn) activity concentration measurements are currently performed world-wide, they are being made by many different laboratories and with fundamentally different measurement principles, so compatibility issues can limit their utility for regional-to-global applications. Consequently, we conducted a European‐wide 222Rn/222Rn progeny comparison study in order to evaluate the different measurement systems in use, determine potential systematic biases between them, and estimate correction factors that could be applied to harmonize data for their use as a tracer in atmospheric applications. Two compact portable Heidelberg Radon Monitors (HRM) were moved around to run for at least one month at each of the nine European measurement stations included in this comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two‐filter radon monitors and the HRM of ANSTO/HRM = 1.11±0.05 was found. Moreover, for the continental stations using one‐filter systems that derive atmospheric 222Rn activity concentrations from measured atmospheric progeny activity concentrations, preliminary 214Po/222Rn disequilibrium values were also estimated. Mean station-specific disequilibrium values between 0.8 at mountain sites (e.g. Schauinsland) and 0.9 at non‐mountain sites for sampling heights around 20 to 30 m above ground level were determined. The respective corrections for calibration biases and disequilibrium derived in this study need to be applied to obtain a compatible European atmospheric 222Rn data set for use in quantitative applications, such as regional model intercomparison and validation, or trace gas flux estimates with the Radon‐Tracer‐Method.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {atmospheric radon activity concentrations+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A European-wide 222Radon and 222Radon progeny comparison study [Dataset]' Description:'Although atmospheric 222Radon (222Rn) activity concentration measurements are currently performed world-wide, they are being made by many different laboratories and with fundamentally different measurement principles, so compatibility issues can limit their utility for regional-to-global applications. Consequently, we conducted a European‐wide 222Rn/222Rn progeny comparison study in order to evaluate the different measurement systems in use, determine potential systematic biases between them, and estimate correction factors that could be applied to harmonize data for their use as a tracer in atmospheric applications. Two compact portable Heidelberg Radon Monitors (HRM) were moved around to run for at least one month at each of the nine European measurement stations included in this comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two‐filter radon monitors and the HRM of ANSTO/HRM = 1.11±0.05 was found. Moreover, for the continental stations using one‐filter systems that derive atmospheric 222Rn activity concentrations from measured atmospheric progeny activity concentrations, preliminary 214Po/222Rn disequilibrium values were also estimated. Mean station-specific disequilibrium values between 0.8 at mountain sites (e.g. Schauinsland) and 0.9 at non‐mountain sites for sampling heights around 20 to 30 m above ground level were determined. The respective corrections for calibration biases and disequilibrium derived in this study need to be applied to obtain a compatible European atmospheric 222Rn data set for use in quantitative applications, such as regional model intercomparison and validation, or trace gas flux estimates with the Radon‐Tracer‐Method.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Although atmospheric 222Radon (222Rn) activity concentration measurements are currently performed world-wide, they are being made by many different laboratories and with fundamentally different measurement principles, so compatibility issues can limit their utility for regional-to-global applications. Consequently, we conducted a European‐wide 222Rn/222Rn progeny comparison study in order to evaluate the different measurement systems in use, determine potential systematic biases between them, and estimate correction factors that could be applied to harmonize data for their use as a tracer in atmospheric applications. Two compact portable Heidelberg Radon Monitors (HRM) were moved around to run for at least one month at each of the nine European measurement stations included in this comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two‐filter radon monitors and the HRM of ANSTO/HRM = 1.11±0.05 was found. Moreover, for the continental stations using one‐filter systems that derive atmospheric 222Rn activity concentrations from measured atmospheric progeny activity concentrations, preliminary 214Po/222Rn disequilibrium values were also estimated. Mean station-specific disequilibrium values between 0.8 at mountain sites (e.g. Schauinsland) and 0.9 at non‐mountain sites for sampling heights around 20 to 30 m above ground level were determined. The respective corrections for calibration biases and disequilibrium derived in this study need to be applied to obtain a compatible European atmospheric 222Rn data set for use in quantitative applications, such as regional model intercomparison and validation, or trace gas flux estimates with the Radon‐Tracer‐Method.","Subject":" Physics","Keywords":"atmospheric radon activity concentrations"},{"pid":"doi:10.11588/data/10100","Title":"Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016' Description:'14CO2 observations at Jungfraujoch high altitude research station in the Swiss Alps (3450m a.s.l.) and at Schauinsland observatory (1205 m a.s.l.) in the German Black Forest are conducted to monitor the background 14CO2 level over Europe and define the reference for regional estimates of fossil fuel CO2. The record is also used for post-bomb dating of organic material (e.g. forensic studies).' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {carbon dioxide; continental background air; post bomb dating; Radiocarbon+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016' Description:'14CO2 observations at Jungfraujoch high altitude research station in the Swiss Alps (3450m a.s.l.) and at Schauinsland observatory (1205 m a.s.l.) in the German Black Forest are conducted to monitor the background 14CO2 level over Europe and define the reference for regional estimates of fossil fuel CO2. The record is also used for post-bomb dating of organic material (e.g. forensic studies).' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"14CO2 observations at Jungfraujoch high altitude research station in the Swiss Alps (3450m a.s.l.) and at Schauinsland observatory (1205 m a.s.l.) in the German Black Forest are conducted to monitor the background 14CO2 level over Europe and define the reference for regional estimates of fossil fuel CO2. The record is also used for post-bomb dating of organic material (e.g. forensic studies).","Subject":" Physics","Keywords":"carbon dioxide; continental background air; post bomb dating; Radiocarbon"},{"pid":"doi:10.11588/data/6MEKHI","Title":"Engineering a U(1) lattice gauge theory in classical electric circuits [Research Data and Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Engineering a U(1) lattice gauge theory in classical electric circuits [Research Data and Code]' Description:'Abstract:Lattice gauge theories are fundamental to such distinct fields as particle physics, condensed matter, and quantum information science. Their local symmetries enforce the charge conservation observed in the laws of physics. Impressive experimental progress has demonstrated that they can be engineered in table-top experiments using synthetic quantum systems. However, the challenges posed by the scalability of such lattice gauge simulators are pressing, thereby making the exploration of different experimental setups desirable. Here, we realize a U(1) lattice gauge theory with five matter sites and four gauge links in classical electric circuits employing nonlinear elements connecting LC oscillators. This allows for probing previously inaccessible spectral and transport properties in a multi-site system. We directly observe Gauss's law, known from electrodynamics, and the emergence of long-range interactions between massive particles in full agreement with theoretical predictions. Our work paves the way for investigations of increasingly complex gauge theories on table-top classical setups, and demonstrates the precise control of nonlinear effects within metamaterial devices.Dataset files:MM-DD: folders with raw data, named by date in 2021.U1 Simulations.ipynb: Numerical simulations. Produces files for U1 Figures.ipynb too.U1 Figures.ipynb: Data analysis for figures appearing in paper.KiCad_U1-block/: Schematic and PCB design.redpitaya-measurements/: Measurement scripts used with Red Pitaya.To simply retrieve the figures of paper, use the arXiv:2108.01086 source.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Classical electric circuits; Gauge Theory; Lattice Gauge Theory+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Engineering a U(1) lattice gauge theory in classical electric circuits [Research Data and Code]' Description:'Abstract:Lattice gauge theories are fundamental to such distinct fields as particle physics, condensed matter, and quantum information science. Their local symmetries enforce the charge conservation observed in the laws of physics. Impressive experimental progress has demonstrated that they can be engineered in table-top experiments using synthetic quantum systems. However, the challenges posed by the scalability of such lattice gauge simulators are pressing, thereby making the exploration of different experimental setups desirable. Here, we realize a U(1) lattice gauge theory with five matter sites and four gauge links in classical electric circuits employing nonlinear elements connecting LC oscillators. This allows for probing previously inaccessible spectral and transport properties in a multi-site system. We directly observe Gauss's law, known from electrodynamics, and the emergence of long-range interactions between massive particles in full agreement with theoretical predictions. Our work paves the way for investigations of increasingly complex gauge theories on table-top classical setups, and demonstrates the precise control of nonlinear effects within metamaterial devices.Dataset files:MM-DD: folders with raw data, named by date in 2021.U1 Simulations.ipynb: Numerical simulations. Produces files for U1 Figures.ipynb too.U1 Figures.ipynb: Data analysis for figures appearing in paper.KiCad_U1-block/: Schematic and PCB design.redpitaya-measurements/: Measurement scripts used with Red Pitaya.To simply retrieve the figures of paper, use the arXiv:2108.01086 source.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract:Lattice gauge theories are fundamental to such distinct fields as particle physics, condensed matter, and quantum information science. Their local symmetries enforce the charge conservation observed in the laws of physics. Impressive experimental progress has demonstrated that they can be engineered in table-top experiments using synthetic quantum systems. However, the challenges posed by the scalability of such lattice gauge simulators are pressing, thereby making the exploration of different experimental setups desirable. Here, we realize a U(1) lattice gauge theory with five matter sites and four gauge links in classical electric circuits employing nonlinear elements connecting LC oscillators. This allows for probing previously inaccessible spectral and transport properties in a multi-site system. We directly observe Gauss's law, known from electrodynamics, and the emergence of long-range interactions between massive particles in full agreement with theoretical predictions. Our work paves the way for investigations of increasingly complex gauge theories on table-top classical setups, and demonstrates the precise control of nonlinear effects within metamaterial devices.Dataset files:MM-DD: folders with raw data, named by date in 2021.U1 Simulations.ipynb: Numerical simulations. Produces files for U1 Figures.ipynb too.U1 Figures.ipynb: Data analysis for figures appearing in paper.KiCad_U1-block/: Schematic and PCB design.redpitaya-measurements/: Measurement scripts used with Red Pitaya.To simply retrieve the figures of paper, use the arXiv:2108.01086 source.","Subject":"Physics","Keywords":"Classical electric circuits; Gauge Theory; Lattice Gauge Theory"},{"pid":"doi:10.11588/data/CK3ZTX","Title":"Heidelberg integrated samples 2018-2020 and pseudo power plant experiment results [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Heidelberg integrated samples 2018-2020 and pseudo power plant experiment results [Data]' Description:'These data files show the measurement and model ffCO2 results (surface source influence vs. volume source influence approach) for the two-week integrated afternoon and nighttime samples from Heidelberg (July 2018 - June 2020). Moreover, the results of the pseudo power plant experiment for Heidelberg at 30m and 200m agl are shown.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {pseudo power plant experiment; volume source influence approach+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Heidelberg integrated samples 2018-2020 and pseudo power plant experiment results [Data]' Description:'These data files show the measurement and model ffCO2 results (surface source influence vs. volume source influence approach) for the two-week integrated afternoon and nighttime samples from Heidelberg (July 2018 - June 2020). Moreover, the results of the pseudo power plant experiment for Heidelberg at 30m and 200m agl are shown.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These data files show the measurement and model ffCO2 results (surface source influence vs. volume source influence approach) for the two-week integrated afternoon and nighttime samples from Heidelberg (July 2018 - June 2020). Moreover, the results of the pseudo power plant experiment for Heidelberg at 30m and 200m agl are shown.","Subject":"Physics","Keywords":"pseudo power plant experiment; volume source influence approach"},{"pid":"doi:10.11588/data/HJ6SVM","Title":"Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Collagen; KIMMDY; Mechanoracials; Molecular Dynamics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:'Chemistry; Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.","Subject":" Physics","Keywords":"Collagen; KIMMDY; Mechanoracials; Molecular Dynamics"},{"pid":"doi:10.11588/data/HRCX1P","Title":"Stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud [data]' Description:'We provide the data and our jupyter notebooks used to generate the figures of our publication. Abstract: Single particle resolution is a requirement for numerous experimental protocols that emulate the dynamics of small systems in a bath. Here, we accurately resolve through atom counting the stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud. This capability enables us to rule out the effect of inter-species interaction on sodium atom number dynamics, at very low atomic densities present in these experiments. We study the noise sources for sodium and potassium in a common framework. Thereby, we assign the detection limits to 4.3 atoms for potassium and 0.2 atoms (corresponding to 96% fidelity) for sodium. This opens possibilities for future experiments with a few atoms immersed in a quantum degenerate gas.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Stochastic dynamics; Ultracold mixture+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud [data]' Description:'We provide the data and our jupyter notebooks used to generate the figures of our publication. Abstract: Single particle resolution is a requirement for numerous experimental protocols that emulate the dynamics of small systems in a bath. Here, we accurately resolve through atom counting the stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud. This capability enables us to rule out the effect of inter-species interaction on sodium atom number dynamics, at very low atomic densities present in these experiments. We study the noise sources for sodium and potassium in a common framework. Thereby, we assign the detection limits to 4.3 atoms for potassium and 0.2 atoms (corresponding to 96% fidelity) for sodium. This opens possibilities for future experiments with a few atoms immersed in a quantum degenerate gas.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We provide the data and our jupyter notebooks used to generate the figures of our publication. Abstract: Single particle resolution is a requirement for numerous experimental protocols that emulate the dynamics of small systems in a bath. Here, we accurately resolve through atom counting the stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud. This capability enables us to rule out the effect of inter-species interaction on sodium atom number dynamics, at very low atomic densities present in these experiments. We study the noise sources for sodium and potassium in a common framework. Thereby, we assign the detection limits to 4.3 atoms for potassium and 0.2 atoms (corresponding to 96% fidelity) for sodium. This opens possibilities for future experiments with a few atoms immersed in a quantum degenerate gas.","Subject":"Physics","Keywords":"Stochastic dynamics; Ultracold mixture"},{"pid":"doi:10.11588/data/IX51KS","Title":"SO2 and BrO emissions of Masaya volcano from 2014 to 2020 [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SO2 and BrO emissions of Masaya volcano from 2014 to 2020 [Research Data]' Description:'EXCERPT FROM ABSTRACT: Masaya (Nicaragua, 12.0°N, 86.2°W; 635m a.s.l.) is one of the few volcanoes hosting a lava lake, today. This study has two foci: (1) discussing the state of the art of long-term SO2 emission flux monitoring with the example of Masaya and (2) the provision and discussion of a continuous data set on volcanic gas data with a large temporal coverage, which is a major extension of the empirical database for studies in volcanology as well as atmospheric bromine chemistry. We present time series of SO2 emission fluxes and BrO/SO2 molar ratios in the gas plume of Masaya from March 2014 to March 2020.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Remote sensing; Volcanic gas emissions; Volcanic gas emissions+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SO2 and BrO emissions of Masaya volcano from 2014 to 2020 [Research Data]' Description:'EXCERPT FROM ABSTRACT: Masaya (Nicaragua, 12.0°N, 86.2°W; 635m a.s.l.) is one of the few volcanoes hosting a lava lake, today. This study has two foci: (1) discussing the state of the art of long-term SO2 emission flux monitoring with the example of Masaya and (2) the provision and discussion of a continuous data set on volcanic gas data with a large temporal coverage, which is a major extension of the empirical database for studies in volcanology as well as atmospheric bromine chemistry. We present time series of SO2 emission fluxes and BrO/SO2 molar ratios in the gas plume of Masaya from March 2014 to March 2020.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"EXCERPT FROM ABSTRACT: Masaya (Nicaragua, 12.0°N, 86.2°W; 635m a.s.l.) is one of the few volcanoes hosting a lava lake, today. This study has two foci: (1) discussing the state of the art of long-term SO2 emission flux monitoring with the example of Masaya and (2) the provision and discussion of a continuous data set on volcanic gas data with a large temporal coverage, which is a major extension of the empirical database for studies in volcanology as well as atmospheric bromine chemistry. We present time series of SO2 emission fluxes and BrO/SO2 molar ratios in the gas plume of Masaya from March 2014 to March 2020.","Subject":" Physics","Keywords":"Remote sensing; Volcanic gas emissions; Volcanic gas emissions"},{"pid":"doi:10.11588/data/KGYOS6","Title":"Bekvaem: Integrative Data Exploration of Genomic Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Bekvaem: Integrative Data Exploration of Genomic Data' Description:'Using modern open-source libraries for web-based visualizations and data-processing, Bekvaem, a generic framework for the creation of data exploration software is introduced. Providing a high-level interface to fast low-level routines and employing open formats for the data storage, Bekvaem remains easily adjustable and independent from prior data processing pipelines.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {contact map; genomic data; Hi-C; visualization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Bekvaem: Integrative Data Exploration of Genomic Data' Description:'Using modern open-source libraries for web-based visualizations and data-processing, Bekvaem, a generic framework for the creation of data exploration software is introduced. Providing a high-level interface to fast low-level routines and employing open formats for the data storage, Bekvaem remains easily adjustable and independent from prior data processing pipelines.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Using modern open-source libraries for web-based visualizations and data-processing, Bekvaem, a generic framework for the creation of data exploration software is introduced. Providing a high-level interface to fast low-level routines and employing open formats for the data storage, Bekvaem remains easily adjustable and independent from prior data processing pipelines.","Subject":"Physics","Keywords":"contact map; genomic data; Hi-C; visualization"},{"pid":"doi:10.11588/data/LMMXAI","Title":"Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]' Description:'Research Data and Source Code associated with the related publication.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {electron beam lithography; hydrogen storage; in situ TEM; magnesium hydride; metastable phases; plasmonics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]' Description:'Research Data and Source Code associated with the related publication.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data and Source Code associated with the related publication.","Subject":" Physics","Keywords":"electron beam lithography; hydrogen storage; in situ TEM; magnesium hydride; metastable phases; plasmonics"},{"pid":"doi:10.11588/data/RDISCE","Title":"Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]' Description:'The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTCF; extended ladder model; zinc finger+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]' Description:'The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.","Subject":" Physics","Keywords":"CTCF; extended ladder model; zinc finger"},{"pid":"doi:10.11588/data/RI2KLV","Title":"Research Data supporting the paper: Synthetic Control over the Binding Configuration of Luminescent sp³-Defects in Single-Walled Carbon Nanotubes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Research Data supporting the paper: Synthetic Control over the Binding Configuration of Luminescent sp³-Defects in Single-Walled Carbon Nanotubes' Description:'Underlying data for all figures in the paper 'Synthetic Control over the Binding Configuration of Luminescent sp3-Defects in Single-Walled Carbon Nanotubes' , Nat. Commun. 2021, 12, 2119.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {carbon nanotubes; luminescent defects; single-photon emission+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Research Data supporting the paper: Synthetic Control over the Binding Configuration of Luminescent sp³-Defects in Single-Walled Carbon Nanotubes' Description:'Underlying data for all figures in the paper 'Synthetic Control over the Binding Configuration of Luminescent sp3-Defects in Single-Walled Carbon Nanotubes' , Nat. Commun. 2021, 12, 2119.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Underlying data for all figures in the paper 'Synthetic Control over the Binding Configuration of Luminescent sp3-Defects in Single-Walled Carbon Nanotubes' , Nat. Commun. 2021, 12, 2119.","Subject":" Physics","Keywords":"carbon nanotubes; luminescent defects; single-photon emission"},{"pid":"doi:10.11588/data/W60KUN","Title":"Direct control of high magnetic fields for cold atom experiments based on NV centers [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Direct control of high magnetic fields for cold atom experiments based on NV centers [Dataset]' Description:'In atomic physics experiments, magnetic fields allow to control the interactions between atoms, eg. near Feshbach resonances, or by employing spin changing collisions. The magnetic field control is typically performed indirectly, by stabilizing the current of Helmholtz coils producing the large bias field. Here, we overcome the limitations of such an indirect control through a direct feedback scheme, which is based on nitrogen-vacancy centers acting as a sensor. This allows us to measure and stabilize magnetic fields of 46.6 G down to 1.2 mG RMS noise, with the potential of reaching much higher field strengths. Because the magnetic field is measured directly, we reach minimum shot-to-shot fluctuations of 0.32(4) ppm on a 22 minute time interval, ensuring high reproducibility of experiments. This approach extends the direct magnetic field control to high magnetic fields, which could enable new precise quantum simulations in this regime.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {magnetometry; ODMR+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Direct control of high magnetic fields for cold atom experiments based on NV centers [Dataset]' Description:'In atomic physics experiments, magnetic fields allow to control the interactions between atoms, eg. near Feshbach resonances, or by employing spin changing collisions. The magnetic field control is typically performed indirectly, by stabilizing the current of Helmholtz coils producing the large bias field. Here, we overcome the limitations of such an indirect control through a direct feedback scheme, which is based on nitrogen-vacancy centers acting as a sensor. This allows us to measure and stabilize magnetic fields of 46.6 G down to 1.2 mG RMS noise, with the potential of reaching much higher field strengths. Because the magnetic field is measured directly, we reach minimum shot-to-shot fluctuations of 0.32(4) ppm on a 22 minute time interval, ensuring high reproducibility of experiments. This approach extends the direct magnetic field control to high magnetic fields, which could enable new precise quantum simulations in this regime.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In atomic physics experiments, magnetic fields allow to control the interactions between atoms, eg. near Feshbach resonances, or by employing spin changing collisions. The magnetic field control is typically performed indirectly, by stabilizing the current of Helmholtz coils producing the large bias field. Here, we overcome the limitations of such an indirect control through a direct feedback scheme, which is based on nitrogen-vacancy centers acting as a sensor. This allows us to measure and stabilize magnetic fields of 46.6 G down to 1.2 mG RMS noise, with the potential of reaching much higher field strengths. Because the magnetic field is measured directly, we reach minimum shot-to-shot fluctuations of 0.32(4) ppm on a 22 minute time interval, ensuring high reproducibility of experiments. This approach extends the direct magnetic field control to high magnetic fields, which could enable new precise quantum simulations in this regime.","Subject":"Physics","Keywords":"magnetometry; ODMR"},{"pid":"doi:10.11588/data/YH80DI","Title":"Data analysis of the phd work: 'Experimental realization of U(1) gauge invariance in ultracold atomic mixtures'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Data analysis of the phd work: 'Experimental realization of U(1) gauge invariance in ultracold atomic mixtures'' Description:'Phd Thesis Abstract:'This thesis reports on the experimental realization of an elementary buildingblock for analog quantum simulation of a U(1) lattice gauge theory in a mixtureof two bosonic quantum gases. Experimentally, the building block is realizedby Bose-Einstein condensates of lithium (7Li) and sodium (23Na) confined in asingle optical dipole trap. Gauge and matter degrees of freedom are mapped inthis system onto the internal states of the atomic species. The necessary U(1)gauge invariance is realized via heteronuclear spin changing collisions (SCC)between both species.The building block represents an important stepstone towards quantum simulationof extended lattice gauge theories as, within the same setting, it featuressystematic protection of gauge invariance, a realistic approach of the continuumlimit for gauge fields and the potential for scalability.Using SCC, systematic protection of gauge invariance in the system is achievedby exploiting the inherent angular momentum conservation in the atomic mixture.The continuum limit of gauge fields is recovered in the framework of quantumlink models by working with Bose-Einstein condensates with high atom numbersin the order of 10^5. The building block can be scaled up to an extended U(1) latticegauge theory by arranging individual building blocks on the sites of an opticallattice and connecting them via Raman-assisted tunneling.Great tunability of our experimental building block is demonstrated by studyingSCC dynamics as a function of various experimental parameters. We observecoherent SCC interactions between both species after an initialization quench.Furthermore, we recorded the SCC resonance as a function of this initializationquench and the offset magnetic field. We present a theoretical framewok for thebuilding block model based on a mean field theory with a phenomenologicaldecoherence term. Within this framework the experimental SCC measurementsare excellently described, identifying our experimental system as a faithful representationof the building block.Our results open up the possibility for extended lattice gauge theories basedon multiple building blocks. These systems will allow for quantum simulationof gauge theories with the potential to address important questions in modernphysics that can currently not be simulated by classical computational techniques.'' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Gauge Theory; Lattice Gauge Theory; Quantum Gas; Ultracold mixture experiment U(1) gauge invariance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Data analysis of the phd work: 'Experimental realization of U(1) gauge invariance in ultracold atomic mixtures'' Description:'Phd Thesis Abstract:'This thesis reports on the experimental realization of an elementary buildingblock for analog quantum simulation of a U(1) lattice gauge theory in a mixtureof two bosonic quantum gases. Experimentally, the building block is realizedby Bose-Einstein condensates of lithium (7Li) and sodium (23Na) confined in asingle optical dipole trap. Gauge and matter degrees of freedom are mapped inthis system onto the internal states of the atomic species. The necessary U(1)gauge invariance is realized via heteronuclear spin changing collisions (SCC)between both species.The building block represents an important stepstone towards quantum simulationof extended lattice gauge theories as, within the same setting, it featuressystematic protection of gauge invariance, a realistic approach of the continuumlimit for gauge fields and the potential for scalability.Using SCC, systematic protection of gauge invariance in the system is achievedby exploiting the inherent angular momentum conservation in the atomic mixture.The continuum limit of gauge fields is recovered in the framework of quantumlink models by working with Bose-Einstein condensates with high atom numbersin the order of 10^5. The building block can be scaled up to an extended U(1) latticegauge theory by arranging individual building blocks on the sites of an opticallattice and connecting them via Raman-assisted tunneling.Great tunability of our experimental building block is demonstrated by studyingSCC dynamics as a function of various experimental parameters. We observecoherent SCC interactions between both species after an initialization quench.Furthermore, we recorded the SCC resonance as a function of this initializationquench and the offset magnetic field. We present a theoretical framewok for thebuilding block model based on a mean field theory with a phenomenologicaldecoherence term. Within this framework the experimental SCC measurementsare excellently described, identifying our experimental system as a faithful representationof the building block.Our results open up the possibility for extended lattice gauge theories basedon multiple building blocks. These systems will allow for quantum simulationof gauge theories with the potential to address important questions in modernphysics that can currently not be simulated by classical computational techniques.'' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Phd Thesis Abstract:'This thesis reports on the experimental realization of an elementary buildingblock for analog quantum simulation of a U(1) lattice gauge theory in a mixtureof two bosonic quantum gases. Experimentally, the building block is realizedby Bose-Einstein condensates of lithium (7Li) and sodium (23Na) confined in asingle optical dipole trap. Gauge and matter degrees of freedom are mapped inthis system onto the internal states of the atomic species. The necessary U(1)gauge invariance is realized via heteronuclear spin changing collisions (SCC)between both species.The building block represents an important stepstone towards quantum simulationof extended lattice gauge theories as, within the same setting, it featuressystematic protection of gauge invariance, a realistic approach of the continuumlimit for gauge fields and the potential for scalability.Using SCC, systematic protection of gauge invariance in the system is achievedby exploiting the inherent angular momentum conservation in the atomic mixture.The continuum limit of gauge fields is recovered in the framework of quantumlink models by working with Bose-Einstein condensates with high atom numbersin the order of 10^5. The building block can be scaled up to an extended U(1) latticegauge theory by arranging individual building blocks on the sites of an opticallattice and connecting them via Raman-assisted tunneling.Great tunability of our experimental building block is demonstrated by studyingSCC dynamics as a function of various experimental parameters. We observecoherent SCC interactions between both species after an initialization quench.Furthermore, we recorded the SCC resonance as a function of this initializationquench and the offset magnetic field. We present a theoretical framewok for thebuilding block model based on a mean field theory with a phenomenologicaldecoherence term. Within this framework the experimental SCC measurementsare excellently described, identifying our experimental system as a faithful representationof the building block.Our results open up the possibility for extended lattice gauge theories basedon multiple building blocks. These systems will allow for quantum simulationof gauge theories with the potential to address important questions in modernphysics that can currently not be simulated by classical computational techniques.'","Subject":"Physics","Keywords":"Gauge Theory; Lattice Gauge Theory; Quantum Gas; Ultracold mixture experiment U(1) gauge invariance"},{"pid":"doi:10.11588/data/ZW8JL9","Title":"Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]' Description:'Research Data associated with the related publication.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {analytical TEM; EELS; morphology characterization; non fullerene acceptors; organic photovoltaic+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]' Description:'Research Data associated with the related publication.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data associated with the related publication.","Subject":" Physics","Keywords":"analytical TEM; EELS; morphology characterization; non fullerene acceptors; organic photovoltaic"},{"pid":"doi:10.15139/S3/T5NYHD","Title":"Blackbeard Mission 6","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Blackbeard Mission 6' Description:'Data collected by the acoustic wave glider Blackbeard on Mission 6 in Onslow Bay 2017-08-01 to 2017-08-09.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {fish sound; marine soundscapes; passive acoustic monitoring+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Blackbeard Mission 6' Description:'Data collected by the acoustic wave glider Blackbeard on Mission 6 in Onslow Bay 2017-08-01 to 2017-08-09.' Subject:'Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data collected by the acoustic wave glider Blackbeard on Mission 6 in Onslow Bay 2017-08-01 to 2017-08-09.","Subject":" Physics","Keywords":"fish sound; marine soundscapes; passive acoustic monitoring"},{"pid":"doi:10.15139/S3/UBWSVZ","Title":"Replication Data for: Xu/Yan et al., 'Positive supercoiling favors transcription', NAR 2022","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Xu/Yan et al., 'Positive supercoiling favors transcription', NAR 2022' Description:'Excel and Matlab format data files as well as simple M-files to plot the Matlab formatted data are included.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lac repressor; magnetic tweezers; RNA polymerase; supercoiling; tethered particle motion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Xu/Yan et al., 'Positive supercoiling favors transcription', NAR 2022' Description:'Excel and Matlab format data files as well as simple M-files to plot the Matlab formatted data are included.' Subject:'Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Excel and Matlab format data files as well as simple M-files to plot the Matlab formatted data are included.","Subject":" Physics","Keywords":"lac repressor; magnetic tweezers; RNA polymerase; supercoiling; tethered particle motion"},{"pid":"doi:10.18710/S8Q6D1","Title":"TGO Ramfjordmoen Ionosonde Data August 2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18130/V3/UVTOHO","Title":"Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness' Description:'Figures for 'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness'' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Superlattice; Scanning Transmission Electron Microscopy; Electron Energy-Loss Spectroscopy; Integrated Differential Phase Contrast SrTiO3; CaTiO3; Electronic Structure; Vibrational Structure; Phonon+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness' Description:'Figures for 'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness'' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Figures for 'Crystallographic, Electronic, and Phononic Properties of SrTiO3-CaTiO3 Superlattices Versus Layer Thickness'","Subject":" Physics","Keywords":"Superlattice; Scanning Transmission Electron Microscopy; Electron Energy-Loss Spectroscopy; Integrated Differential Phase Contrast SrTiO3; CaTiO3; Electronic Structure; Vibrational Structure; Phonon"},{"pid":"doi:10.18710/0257WR","Title":"Replication Data for: On the presence and thermalization of cold ions in the exhaust of antiparallel symmetric reconnection","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: On the presence and thermalization of cold ions in the exhaust of antiparallel symmetric reconnection' Description:'Fully kinetic particle-in-cell simulation of symmetric magnetic reconnection with cold inflow populations. The code solves a Vlasov-Maxwell system in 2 spatial dimensions and 3 velocity dimensions, and outputs electric and magnetic fields, plasma current densities, and plasma densities. Used for manuscript titled 'On the presence and thermalization of cold ions in the exhaust of antiparallel symmetric reconnection' by Norgren et al., 2021 (submitted for review). Details, simulation setup and design described in manuscript and in the file 00_ReadMe.txt.The study investigates the heating and distribution of cold ions in the exhaust of antiparallel symmetric magnetic reconnection. The study details how initially cold ions are captured by the reconnection process, and how they evolve and behave in the exhaust.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {magnetic reconnection; particle-in-cell simulation; plasma; plasma heating; space physics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: On the presence and thermalization of cold ions in the exhaust of antiparallel symmetric reconnection' Description:'Fully kinetic particle-in-cell simulation of symmetric magnetic reconnection with cold inflow populations. The code solves a Vlasov-Maxwell system in 2 spatial dimensions and 3 velocity dimensions, and outputs electric and magnetic fields, plasma current densities, and plasma densities. Used for manuscript titled 'On the presence and thermalization of cold ions in the exhaust of antiparallel symmetric reconnection' by Norgren et al., 2021 (submitted for review). Details, simulation setup and design described in manuscript and in the file 00_ReadMe.txt.The study investigates the heating and distribution of cold ions in the exhaust of antiparallel symmetric magnetic reconnection. The study details how initially cold ions are captured by the reconnection process, and how they evolve and behave in the exhaust.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Fully kinetic particle-in-cell simulation of symmetric magnetic reconnection with cold inflow populations. The code solves a Vlasov-Maxwell system in 2 spatial dimensions and 3 velocity dimensions, and outputs electric and magnetic fields, plasma current densities, and plasma densities. Used for manuscript titled 'On the presence and thermalization of cold ions in the exhaust of antiparallel symmetric reconnection' by Norgren et al., 2021 (submitted for review). Details, simulation setup and design described in manuscript and in the file 00_ReadMe.txt.The study investigates the heating and distribution of cold ions in the exhaust of antiparallel symmetric magnetic reconnection. The study details how initially cold ions are captured by the reconnection process, and how they evolve and behave in the exhaust.","Subject":"Physics","Keywords":"magnetic reconnection; particle-in-cell simulation; plasma; plasma heating; space physics"},{"pid":"doi:10.18710/0ANF8U","Title":"TGO Ramfjordmoen Ionosonde Data September 1986","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 1986' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from September 01-30, 1986.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 1986' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from September 01-30, 1986.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from September 01-30, 1986.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/0EM0EL","Title":"GGA-PBE and hybrid-PBE0 energies and dipole moments with MRChem, FHI-aims, NWChem and ELK","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GGA-PBE and hybrid-PBE0 energies and dipole moments with MRChem, FHI-aims, NWChem and ELK' Description:'Highly accurate Density Functional Theory (GGA-PBE and hybrid-PBE0) total energies, atomization energies and dipole moments computed with four different electronic structure codes: MRChem using multiwavelet basis sets; FHI-aims using numeric atom-centered orbitals; NWChem using Gaussian-type atomic orbitals; ELK using full-potential augmented plane wave basis sets.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accurate energies; APW+lo; Density Functional Theory; Gaussian-type orbitals; Multiwavelets; Numeric atom-centered orbitals+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GGA-PBE and hybrid-PBE0 energies and dipole moments with MRChem, FHI-aims, NWChem and ELK' Description:'Highly accurate Density Functional Theory (GGA-PBE and hybrid-PBE0) total energies, atomization energies and dipole moments computed with four different electronic structure codes: MRChem using multiwavelet basis sets; FHI-aims using numeric atom-centered orbitals; NWChem using Gaussian-type atomic orbitals; ELK using full-potential augmented plane wave basis sets.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Highly accurate Density Functional Theory (GGA-PBE and hybrid-PBE0) total energies, atomization energies and dipole moments computed with four different electronic structure codes: MRChem using multiwavelet basis sets; FHI-aims using numeric atom-centered orbitals; NWChem using Gaussian-type atomic orbitals; ELK using full-potential augmented plane wave basis sets.","Subject":" Physics","Keywords":"Accurate energies; APW+lo; Density Functional Theory; Gaussian-type orbitals; Multiwavelets; Numeric atom-centered orbitals"},{"pid":"doi:10.18710/0NHUJG","Title":"TGO Ramfjordmoen Ionosonde Data March 2009","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2009' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2009.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2009' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2009.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2009.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/0PBOGL","Title":"Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection' Description:'Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection'. Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In the case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism responsible for the transport of energy, mass, momentum, and magnetic flux into Earth's magnetic cavity. On the night side, magnetic flux is transported from two inflow regions (north and south) to meet in what is known as the current layer. The simulation used in this study was designed to represent a general reconnection process with a high abundance of oxygen ions made to capture the additional effects introduced by heavier plasma species. This data set contains files of binary data describing the output of the particle-in-cell simulation of magnetotail reconnection in case of oxygen ions of ionospheric origin.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Magnetic Reconnection; oxygen simulation; Particle-in-cell (PIC) simulation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection' Description:'Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection'. Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In the case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism responsible for the transport of energy, mass, momentum, and magnetic flux into Earth's magnetic cavity. On the night side, magnetic flux is transported from two inflow regions (north and south) to meet in what is known as the current layer. The simulation used in this study was designed to represent a general reconnection process with a high abundance of oxygen ions made to capture the additional effects introduced by heavier plasma species. This data set contains files of binary data describing the output of the particle-in-cell simulation of magnetotail reconnection in case of oxygen ions of ionospheric origin.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection'. Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In the case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism responsible for the transport of energy, mass, momentum, and magnetic flux into Earth's magnetic cavity. On the night side, magnetic flux is transported from two inflow regions (north and south) to meet in what is known as the current layer. The simulation used in this study was designed to represent a general reconnection process with a high abundance of oxygen ions made to capture the additional effects introduced by heavier plasma species. This data set contains files of binary data describing the output of the particle-in-cell simulation of magnetotail reconnection in case of oxygen ions of ionospheric origin.","Subject":"Physics","Keywords":"Magnetic Reconnection; oxygen simulation; Particle-in-cell (PIC) simulation"},{"pid":"doi:10.18710/0UK48S","Title":"TGO Ramfjordmoen Ionosonde Data May 2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data May 2020' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from May 01-31, 2020.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data May 2020' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from May 01-31, 2020.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from May 01-31, 2020.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/0WGHZM","Title":"GNSS Scintillation Data (60 s) at Ny-Ålesund in 2019","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Ny-Ålesund in 2019' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Ny-Ålesund; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Ny-Ålesund in 2019' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"amplitude scintillation; Ny-Ålesund; phase scintillation"},{"pid":"doi:10.18710/0X3TDF","Title":"TGO Ramfjordmoen Ionosonde Data August 2004","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2004' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from August 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2004' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from August 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from August 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/11K4ZS","Title":"TGO Ramfjordmoen Ionosonde Data July 1995","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1995' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1995' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/13FHF9","Title":"GNSS Scintillation Data (60 s) at Longyearbyen in 2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2015' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Longyearbyen; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2015' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"amplitude scintillation; Longyearbyen; phase scintillation"},{"pid":"doi:10.18710/18MZPK","Title":"TGO Ramfjordmoen Ionosonde Data August 1992","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from August 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from August 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from August 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1A0GNA","Title":"TGO Ramfjordmoen Ionosonde Data June 2000","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2000' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2000.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2000' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2000.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2000.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1CA1KO","Title":"GNSS Scintillation Data (60 s) at Longyearbyen in 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2016' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Longyearbyen; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Longyearbyen in 2016' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"amplitude scintillation; Longyearbyen; phase scintillation"},{"pid":"doi:10.18710/1CSIOA","Title":"TGO Ramfjordmoen Ionosonde Data July 1989","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1989' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from July 01-31, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1989' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from July 01-31, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from July 01-31, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1KYFV8","Title":"TGO Ramfjordmoen Ionosonde Data November 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1MMRDP","Title":"TGO Ramfjordmoen Ionosonde Data February 1985","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1985' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1985' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1NGCDP","Title":"TGO Ramfjordmoen Ionosonde Data October 2007","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2007' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2007' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1SYRPE","Title":"TGO Ramfjordmoen Ionosonde Data March 1992","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 1992' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1992.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1V2V6O","Title":"TGO Ramfjordmoen Ionosonde Data January 2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1ZLFXC","Title":"TGO Ramfjordmoen Ionosonde Data August 2012","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/1ZZESW","Title":"TGO Ramfjordmoen Ionosonde Data April 2011","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2011' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2011' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/25JRO0","Title":"TGO Ramfjordmoen Ionosonde Data November 2013","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2013' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2013' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/26NEEP","Title":"TGO Ramfjordmoen Ionosonde Data July 1994","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from July 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/27YHAH","Title":"TGO Ramfjordmoen Ionosonde Data April 2019","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2019' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2019.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2019' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2019.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2019.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2DZOZL","Title":"TGO Ramfjordmoen Ionosonde Data April 1996","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 1996' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from April 01-30, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 1996' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from April 01-30, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from April 01-30, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2FCYMQ","Title":"TGO Ramfjordmoen Ionosonde Data March 2008","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2008' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2008' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2HTCWA","Title":"TGO Ramfjordmoen Ionosonde Data January 2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from January 01-31, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2JTIOT","Title":"Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer' Description:'These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {features; gating; lung cancer; motion correction; PET; positron emission tomography; radiomics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer' Description:'These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).' Subject:'Mathematical Sciences; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).","Subject":" Physics","Keywords":"features; gating; lung cancer; motion correction; PET; positron emission tomography; radiomics"},{"pid":"doi:10.18710/2P4FJE","Title":"TGO Ramfjordmoen Ionosonde Data August 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2VCYGB","Title":"TGO Ramfjordmoen Ionosonde Data October 2010","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2010' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2010' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2VFYB3","Title":"TGO Ramfjordmoen Ionosonde Data June 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/2WJZWG","Title":"GNSS Total Electron Content Data (60 s) at Longyearbyen in 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2016' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Longyearbyen; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2016' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"Longyearbyen; total electron content"},{"pid":"doi:10.18710/3APRCZ","Title":"GNSS Scintillation Data (60 s) at Hopen in 2021","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Hopen in 2021' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Hopen; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Hopen in 2021' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"amplitude scintillation; Hopen; phase scintillation"},{"pid":"doi:10.18710/3CYTKW","Title":"TGO Ramfjordmoen Ionosonde Data March 2012","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 2012' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2012.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3DTHN0","Title":"TGO Ramfjordmoen Ionosonde Data August 2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2018' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2018' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3FOFWO","Title":"GNSS Total Electron Content Data (60 s) at Longyearbyen in 2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2017' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Longyearbyen; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2017' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"Longyearbyen; total electron content"},{"pid":"doi:10.18710/3HFP0C","Title":"TGO Ramfjordmoen Ionosonde Data June 2021","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3KUWBF","Title":"TGO Ramfjordmoen Ionosonde Data April 2021","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2021' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2021.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3OJHDN","Title":"Replication Data for: Closure Law Model Uncertainty Quantification","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Closure Law Model Uncertainty Quantification' Description:'The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {closure laws; ledaflow; multiphase flow; prediction; uncertainty propagation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Closure Law Model Uncertainty Quantification' Description:'The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquid-dominated slug flow.","Subject":" Physics","Keywords":"closure laws; ledaflow; multiphase flow; prediction; uncertainty propagation"},{"pid":"doi:10.18710/3SPTNR","Title":"TGO Ramfjordmoen Ionosonde Data July 2004","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 2004' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from July 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 2004' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from July 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from July 01-31, 2004.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/3XDFRN","Title":"TGO Ramfjordmoen Ionosonde Data March 1988","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 1988' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1988.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data March 1988' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1988.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from March 01-31, 1988.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/4177UL","Title":"TGO Ramfjordmoen Ionosonde Data November 1994","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from November 01-30, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from November 01-30, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from November 01-30, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/41U4VL","Title":"TGO Ramfjordmoen Ionosonde Data December 1994","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data December 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from December 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data December 1994' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from December 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from December 01-31, 1994.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/43F8C0","Title":"TGO Ramfjordmoen Ionosonde Data December 1999","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data December 1999' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from December 01-31, 1999.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data December 1999' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from December 01-31, 1999.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from December 01-31, 1999.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/47MOS4","Title":"TGO Ramfjordmoen Ionosonde Data June 2008","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2008' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2008' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2008.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/4BUYXX","Title":"GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2014' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ny-Ålesund; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2014' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"Ny-Ålesund; total electron content"},{"pid":"doi:10.18710/4FGTSV","Title":"TGO Ramfjordmoen Ionosonde Data April 2002","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2002' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2002.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/4I2FUF","Title":"GNSS Total Electron Content Data (60 s) at Hopen in 2013","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Hopen in 2013' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Hopen; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Hopen in 2013' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"Hopen; total electron content"},{"pid":"doi:10.18710/4J6CU8","Title":"TGO Ramfjordmoen Ionosonde Data July 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from July 01-31, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data July 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from July 01-31, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from July 01-31, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/4RNQSW","Title":"TGO Ramfjordmoen Ionosonde Data June 2006","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2006' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2006.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2006' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2006.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2006.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/4U3C4Y","Title":"TGO Ramfjordmoen Ionosonde Data October 2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2017' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2017.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data October 2017' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2017.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2017.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/4WJCK5","Title":"EOF base functions for: Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'EOF base functions for: Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method' Description:'This is to provide a repository of the EOF base functions for my publication 'Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method' submitted for review. The coordinates of the base functions are also provided. The regression coefficients in Table 3 of the manuscript for the fit of the EOF coefficients (A1-A4) are also uploaded.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {space weather; ionosphere; modeling; EOF method; irregularities+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'EOF base functions for: Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method' Description:'This is to provide a repository of the EOF base functions for my publication 'Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method' submitted for review. The coordinates of the base functions are also provided. The regression coefficients in Table 3 of the manuscript for the fit of the EOF coefficients (A1-A4) are also uploaded.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is to provide a repository of the EOF base functions for my publication 'Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method' submitted for review. The coordinates of the base functions are also provided. The regression coefficients in Table 3 of the manuscript for the fit of the EOF coefficients (A1-A4) are also uploaded.","Subject":" Physics","Keywords":"space weather; ionosphere; modeling; EOF method; irregularities"},{"pid":"doi:10.18710/4WPBZQ","Title":"TGO Ramfjordmoen Ionosonde Data November 1993","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 1993' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from November 01-30, 1993.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 1993' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from November 01-30, 1993.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from November 01-30, 1993.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/4YHU4R","Title":"Replication data for: Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration' Description:'Combined with the magnetic field, the distribution of charged particles in the inflow region is expected to control the rate of magnetic reconnection. This paper investigates how the reconnection process is altered by a cold, asymmetrically distributed, oxygen population, which is initially located away from the current layer in the inflow regions. A Particle-In-Cell (PIC) simulation is used to gain further insight into the dynamics of the system. The time evolution of the reconnection process proceeds rapidly compared to the cyclotron period of O^+. It, therefore, remains, to a good approximation, demagnetized.Therefore, Alfvén scaling is not an adequate description of the reconnection rate.A scaling relation for the reconnection rate for an asymmetrically distributed, demagnetized species has been developed. Additionally, we find that an asymmetric density configuration leads to a distinct motion of the reconnection site and generates an asymmetry of the diffusion region and the Hall electric field.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {asymmetric Hall fields; Magnetic Reconnection; Particle-in-cell (PIC) simulation; PIC simulation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration' Description:'Combined with the magnetic field, the distribution of charged particles in the inflow region is expected to control the rate of magnetic reconnection. This paper investigates how the reconnection process is altered by a cold, asymmetrically distributed, oxygen population, which is initially located away from the current layer in the inflow regions. A Particle-In-Cell (PIC) simulation is used to gain further insight into the dynamics of the system. The time evolution of the reconnection process proceeds rapidly compared to the cyclotron period of O^+. It, therefore, remains, to a good approximation, demagnetized.Therefore, Alfvén scaling is not an adequate description of the reconnection rate.A scaling relation for the reconnection rate for an asymmetrically distributed, demagnetized species has been developed. Additionally, we find that an asymmetric density configuration leads to a distinct motion of the reconnection site and generates an asymmetry of the diffusion region and the Hall electric field.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Combined with the magnetic field, the distribution of charged particles in the inflow region is expected to control the rate of magnetic reconnection. This paper investigates how the reconnection process is altered by a cold, asymmetrically distributed, oxygen population, which is initially located away from the current layer in the inflow regions. A Particle-In-Cell (PIC) simulation is used to gain further insight into the dynamics of the system. The time evolution of the reconnection process proceeds rapidly compared to the cyclotron period of O^+. It, therefore, remains, to a good approximation, demagnetized.Therefore, Alfvén scaling is not an adequate description of the reconnection rate.A scaling relation for the reconnection rate for an asymmetrically distributed, demagnetized species has been developed. Additionally, we find that an asymmetric density configuration leads to a distinct motion of the reconnection site and generates an asymmetry of the diffusion region and the Hall electric field.","Subject":"Physics","Keywords":"asymmetric Hall fields; Magnetic Reconnection; Particle-in-cell (PIC) simulation; PIC simulation"},{"pid":"doi:10.18710/4YHU4R","Title":"Replication data for: Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration' Description:'Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration'.Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism responsible for the transport of energy, mass, momentum, and magnetic flux into Earth's magnetic cavity. On the night side, magnetic flux is transported from two inflow regions (north and south) to meet in what is known as the current layer. We simulate a specific scenario where heavy particles, here oxygen, which are asymmetrically distributed accompany the flow of the more abundant plasma species (e.g. protons and electrons) towards the current layer. This simulation is designed to mimic magnetotail reconnection for an asymmetric oxygen density configuration. Oxygen is uniformly distributed above 2.5 proton inertial lengths over the current layer.' Subject:'Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {asymmetric Hall fields; Magnetic Reconnection; Particle-in-cell (PIC) simulation; PIC simulation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration' Description:'Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration'.Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism responsible for the transport of energy, mass, momentum, and magnetic flux into Earth's magnetic cavity. On the night side, magnetic flux is transported from two inflow regions (north and south) to meet in what is known as the current layer. We simulate a specific scenario where heavy particles, here oxygen, which are asymmetrically distributed accompany the flow of the more abundant plasma species (e.g. protons and electrons) towards the current layer. This simulation is designed to mimic magnetotail reconnection for an asymmetric oxygen density configuration. Oxygen is uniformly distributed above 2.5 proton inertial lengths over the current layer.' Subject:'Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'Collisionless Magnetic Reconnection in an Asymmetric Oxygen Density Configuration'.Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism responsible for the transport of energy, mass, momentum, and magnetic flux into Earth's magnetic cavity. On the night side, magnetic flux is transported from two inflow regions (north and south) to meet in what is known as the current layer. We simulate a specific scenario where heavy particles, here oxygen, which are asymmetrically distributed accompany the flow of the more abundant plasma species (e.g. protons and electrons) towards the current layer. This simulation is designed to mimic magnetotail reconnection for an asymmetric oxygen density configuration. Oxygen is uniformly distributed above 2.5 proton inertial lengths over the current layer.","Subject":"Physics","Keywords":"asymmetric Hall fields; Magnetic Reconnection; Particle-in-cell (PIC) simulation; PIC simulation"},{"pid":"doi:10.18710/50NNH3","Title":"TGO Ramfjordmoen Ionosonde Data June 2003","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2003' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2003.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 2003' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2003.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 2003.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/56JKUA","Title":"TGO Ramfjordmoen Ionosonde Data August 2011","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2011' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2011' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2011.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/56YQMK","Title":"TGO Ramfjordmoen Ionosonde Data May 1990","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data May 1990' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from May 01-31, 1990.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data May 1990' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from May 01-31, 1990.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from May 01-31, 1990.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/5AI5C9","Title":"TGO Ramfjordmoen Ionosonde Data June 1999","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 1999' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 1999.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data June 1999' Description:'About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 1999.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format, and covers data from June 01-30, 1999.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/JGJ3CT","Title":"TGO Ramfjordmoen Ionosonde Data November 2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2018' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2018' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2018.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/5I7KXY","Title":"TGO Ramfjordmoen Ionosonde Data September 1995","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 1995' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from September 01-30, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 1995' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from September 01-30, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from September 01-30, 1995.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/5IYSKV","Title":"GEMINI-SIGMA output Replication Data for: 'On the production of ionospheric irregularities via Kelvin-Helmholtz instability associated with cusp flow channels'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GEMINI-SIGMA output Replication Data for: 'On the production of ionospheric irregularities via Kelvin-Helmholtz instability associated with cusp flow channels'' Description:'The files contain outputs from numerical simulations using a combination of the numerical models Geospace Environment Model of Ion-Neutral Interactions (GEMINI) and Satellite-beacon Ionospheric- scintillation Global Model of the upper Atmosphere (SIGMA).The outputs provide simulated time series of Global Positioning System (GPS) scintillations through density structures generated by the Kelvin Helmholtz instability (KHI), as explained in detail in the publication.The numerical codes used to generate the outputs are described in the following publications:• Zettergren, M., Semeter, J., & Dahlgren, H. (2015). “Dynamics of density cavities generated by frictional heating: Formation, distortion, and instability”. Geophysical Research Letters, 42(23).[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2015GL066806 ]• Deshpande, K. B., Bust, G. S., Clauer, C. R., Rino, C. L., & Carrano, C. S. (2014). “Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) I: High latitude sensitivity study of the model parameters”. Journal of Geophysical Research: Space Physics, 119, 4026-4043. doi:10.1002/2013JA019699811.[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JA019699 ] • Deshpande, K. B., & Zettergren, M. D. (2019). “Satellite-Beacon Ionospheric Scintillation Global Model of the Upper Atmosphere (SIGMA) III: Scintillation Simulation Using A Physics-Based Plasma Model”. Geophysical Research Letters, 46(9), 4564-4572. doi:10.1029/2019GL082576. [Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082576 ]GEMINI is free, open-source software and can be downloaded from GitHub at https://github.com/gemini3d/. Build instructions, example simulations, and documentation are also included on this website.Uploaded by A.S.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ionosphere; Kelvin-Helmholtz instability; plasma instabilities; scintillations; space weather+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GEMINI-SIGMA output Replication Data for: 'On the production of ionospheric irregularities via Kelvin-Helmholtz instability associated with cusp flow channels'' Description:'The files contain outputs from numerical simulations using a combination of the numerical models Geospace Environment Model of Ion-Neutral Interactions (GEMINI) and Satellite-beacon Ionospheric- scintillation Global Model of the upper Atmosphere (SIGMA).The outputs provide simulated time series of Global Positioning System (GPS) scintillations through density structures generated by the Kelvin Helmholtz instability (KHI), as explained in detail in the publication.The numerical codes used to generate the outputs are described in the following publications:• Zettergren, M., Semeter, J., & Dahlgren, H. (2015). “Dynamics of density cavities generated by frictional heating: Formation, distortion, and instability”. Geophysical Research Letters, 42(23).[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2015GL066806 ]• Deshpande, K. B., Bust, G. S., Clauer, C. R., Rino, C. L., & Carrano, C. S. (2014). “Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) I: High latitude sensitivity study of the model parameters”. Journal of Geophysical Research: Space Physics, 119, 4026-4043. doi:10.1002/2013JA019699811.[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JA019699 ] • Deshpande, K. B., & Zettergren, M. D. (2019). “Satellite-Beacon Ionospheric Scintillation Global Model of the Upper Atmosphere (SIGMA) III: Scintillation Simulation Using A Physics-Based Plasma Model”. Geophysical Research Letters, 46(9), 4564-4572. doi:10.1029/2019GL082576. [Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082576 ]GEMINI is free, open-source software and can be downloaded from GitHub at https://github.com/gemini3d/. Build instructions, example simulations, and documentation are also included on this website.Uploaded by A.S.' Subject:'Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The files contain outputs from numerical simulations using a combination of the numerical models Geospace Environment Model of Ion-Neutral Interactions (GEMINI) and Satellite-beacon Ionospheric- scintillation Global Model of the upper Atmosphere (SIGMA).The outputs provide simulated time series of Global Positioning System (GPS) scintillations through density structures generated by the Kelvin Helmholtz instability (KHI), as explained in detail in the publication.The numerical codes used to generate the outputs are described in the following publications:• Zettergren, M., Semeter, J., & Dahlgren, H. (2015). “Dynamics of density cavities generated by frictional heating: Formation, distortion, and instability”. Geophysical Research Letters, 42(23).[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2015GL066806 ]• Deshpande, K. B., Bust, G. S., Clauer, C. R., Rino, C. L., & Carrano, C. S. (2014). “Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) I: High latitude sensitivity study of the model parameters”. Journal of Geophysical Research: Space Physics, 119, 4026-4043. doi:10.1002/2013JA019699811.[Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JA019699 ] • Deshpande, K. B., & Zettergren, M. D. (2019). “Satellite-Beacon Ionospheric Scintillation Global Model of the Upper Atmosphere (SIGMA) III: Scintillation Simulation Using A Physics-Based Plasma Model”. Geophysical Research Letters, 46(9), 4564-4572. doi:10.1029/2019GL082576. [Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082576 ]GEMINI is free, open-source software and can be downloaded from GitHub at https://github.com/gemini3d/. Build instructions, example simulations, and documentation are also included on this website.Uploaded by A.S.","Subject":" Physics","Keywords":"ionosphere; Kelvin-Helmholtz instability; plasma instabilities; scintillations; space weather"},{"pid":"doi:10.18710/5LHPBS","Title":"TGO Ramfjordmoen Ionosonde Data August 1996","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1996' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from August 01-31, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1996' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from August 01-31, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from August 01-31, 1996.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/5MPLMZ","Title":"TGO Ramfjordmoen Ionosonde Data November 2014","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2014' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2014.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/5TE19Q","Title":"TGO Ramfjordmoen Ionosonde Data April 1987","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 1987' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from April 01-30, 1987.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 1987' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from April 01-30, 1987.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from April 01-30, 1987.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/5VOXN2","Title":"TGO Ramfjordmoen Ionosonde Data November 2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data November 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/5ZGRBI","Title":"TGO Ramfjordmoen Ionosonde Data August 2006","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2006' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2006.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 2006' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2006.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from August 01-31, 2006.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/6IBRAH","Title":"TGO Ramfjordmoen Ionosonde Data February 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-29, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 2016' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-29, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-29, 2016.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/6K5IQU","Title":"TGO Ramfjordmoen Ionosonde Data February 2015","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-28, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 2015' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-28, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-28, 2015.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/6MUT6P","Title":"TGO Ramfjordmoen Ionosonde Data December 1984","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data December 1984' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from December 01-31, 1984.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data December 1984' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from December 01-31, 1984.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from December 01-31, 1984.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/6NGRA1","Title":"TGO Ramfjordmoen Ionosonde Data February 2010","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 2010' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-28, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 2010' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-28, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-28, 2010.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/JGXIY9","Title":"TGO Ramfjordmoen Ionosonde Data April 2013","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2013' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data April 2013' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from April 01-30, 2013.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/6PTNJA","Title":"GNSS Scintillation Data (60 s) at Bjørnøya in 2019","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Bjørnøya in 2019' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Bjørnøya, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {amplitude scintillation; Bjørnøya; phase scintillation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Scintillation Data (60 s) at Bjørnøya in 2019' Description:'This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Bjørnøya, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Bjørnøya, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"amplitude scintillation; Bjørnøya; phase scintillation"},{"pid":"doi:10.18710/6PWRXO","Title":"GNSS Total Electron Content Data (60 s) at Longyearbyen in 2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2020' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Longyearbyen; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Longyearbyen in 2020' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"Longyearbyen; total electron content"},{"pid":"doi:10.18710/72XHAI","Title":"TGO Ramfjordmoen Ionosonde Data February 1989","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1989' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1989' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1989.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/77SNQM","Title":"TGO Ramfjordmoen Ionosonde Data February 1987","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1987' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1987.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data February 1987' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1987.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1987.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/7BFJQQ","Title":"TGO Ramfjordmoen Ionosonde Data January 1985","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 1985' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from January 01-31, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data January 1985' Description:'About this dataset: This dataset contains ionograms in PNG format and covers data from January 01-31, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionograms in PNG format and covers data from January 01-31, 1985.About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/7ELN39","Title":"TGO Ramfjordmoen Ionosonde Data August 1997","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1997' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from August 01-31, 1997.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data August 1997' Description:'About this dataset: This dataset contains ionosonde data in SAO format, and covers data from August 01-31, 1997.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format, and covers data from August 01-31, 1997.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/7FT3KP","Title":"GNSS Total Electron Content Data (60 s) at Hopen in 2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Hopen in 2020' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Hopen; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Hopen in 2020' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"Hopen; total electron content"},{"pid":"doi:10.18710/7IZF8P","Title":"TGO Ramfjordmoen Ionosonde Data September 2007","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 2007' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from September 01-30, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'TGO Ramfjordmoen Ionosonde Data September 2007' Description:'About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from September 01-30, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from September 01-30, 2007.About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.","Subject":" Physics","Keywords":"aurora; ionodata; ionogram; ionosonde; ionosphere; SUN-EARTH INTERACTIONS"},{"pid":"doi:10.18710/7N7ZVO","Title":"GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2017","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2017' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:' Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ny-Ålesund; total electron content+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2017' Description:'This data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.' Subject:'Earth and Environmental Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, 'Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard', DataverseNO, https://doi.org/10.18710/EA5BYXThis data set is part of a larger collection: Oksavik, Kjellmar, 2020. 'The University of Bergen Global Navigation Satellite System Data Collection'. DataverseNO. https://doi.org/10.18710/AJ4S-X394.","Subject":" Physics","Keywords":"Ny-Ålesund; total electron content"},{"pid":"doi:10.11588/data/24JDZD","Title":"Cyclodimers and Cyclotrimers of 2,3-Bisalkynylated Anthracenes, Phenazines and Diazatetracenes [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cyclodimers and Cyclotrimers of 2,3-Bisalkynylated Anthracenes, Phenazines and Diazatetracenes [Data]' Description:'Research Data associated with the related publication.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anthracene; Cyclodimer; Cyclotrimer; Diazatetracene; Phenazine+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cyclodimers and Cyclotrimers of 2,3-Bisalkynylated Anthracenes, Phenazines and Diazatetracenes [Data]' Description:'Research Data associated with the related publication.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data associated with the related publication.","Subject":"Chemistry","Keywords":"Anthracene; Cyclodimer; Cyclotrimer; Diazatetracene; Phenazine"},{"pid":"doi:10.11588/data/2TX0VD","Title":"Benzo-Fused Perylene Oligomers with up to 13 Linearly Annulated Rings [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Benzo-Fused Perylene Oligomers with up to 13 Linearly Annulated Rings [Data]' Description:'The longer acenes with more than six linearly fused six-membered rings are still fascinating chemists and physicists because of their unique photophysical properties and their high potential for organic electronics applications. Unfortunately, with increasing size (seven and more rings) these compounds rapidly lose chemical stability. Besides kinetic and chemical stabilization approaches introducing either bulky or electron-withdrawing groups or both, such systems also have been stabilized by peri-annulation. Although strictly spoken, these peri-annulated compounds are no longer real acenes, they have fascinating properties as well. Herein, we describe the first synthesis of a new series of peri-annulated acenes with up to 13 linearly fused rings, which is unprecedented till date. Furthermore, this new series contains perylene units connected through benzene rings along their [b,k]edges, responsible for unique absorption and emission properties.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {acenes; condensation; fluorescence; peri-annulation; polycyclic aromatic hydrocarbons+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Benzo-Fused Perylene Oligomers with up to 13 Linearly Annulated Rings [Data]' Description:'The longer acenes with more than six linearly fused six-membered rings are still fascinating chemists and physicists because of their unique photophysical properties and their high potential for organic electronics applications. Unfortunately, with increasing size (seven and more rings) these compounds rapidly lose chemical stability. Besides kinetic and chemical stabilization approaches introducing either bulky or electron-withdrawing groups or both, such systems also have been stabilized by peri-annulation. Although strictly spoken, these peri-annulated compounds are no longer real acenes, they have fascinating properties as well. Herein, we describe the first synthesis of a new series of peri-annulated acenes with up to 13 linearly fused rings, which is unprecedented till date. Furthermore, this new series contains perylene units connected through benzene rings along their [b,k]edges, responsible for unique absorption and emission properties.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The longer acenes with more than six linearly fused six-membered rings are still fascinating chemists and physicists because of their unique photophysical properties and their high potential for organic electronics applications. Unfortunately, with increasing size (seven and more rings) these compounds rapidly lose chemical stability. Besides kinetic and chemical stabilization approaches introducing either bulky or electron-withdrawing groups or both, such systems also have been stabilized by peri-annulation. Although strictly spoken, these peri-annulated compounds are no longer real acenes, they have fascinating properties as well. Herein, we describe the first synthesis of a new series of peri-annulated acenes with up to 13 linearly fused rings, which is unprecedented till date. Furthermore, this new series contains perylene units connected through benzene rings along their [b,k]edges, responsible for unique absorption and emission properties.","Subject":"Chemistry","Keywords":"acenes; condensation; fluorescence; peri-annulation; polycyclic aromatic hydrocarbons"},{"pid":"doi:10.11588/data/30AOAT","Title":"A Series of Soluble Thieno-fused Coronene Nanoribbons of Precise Lengths [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Series of Soluble Thieno-fused Coronene Nanoribbons of Precise Lengths [Data]' Description:'Among graphene nanoribbons (GNRs), reports on coronene-based GNRs were very rare, despite the unique optoelectronic properties of coronene. Herein, the synthesis of a series of structurally precise and soluble thieno-fused coronene nanoribbons (CR-1 to CR-4) with up to four coronene units connected through benzene rings along their K-regions is described by two different synthetic approaches. Due to the triptycene end-caps all CRs are highly soluble, allowing to characterize such structures in solution and study the length dependent photophysical properties which are supported by theoretical calculations.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Absorption; Aromatic Compounds; Hydrocarbons; Precursors; Two Dimensional Materials+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Series of Soluble Thieno-fused Coronene Nanoribbons of Precise Lengths [Data]' Description:'Among graphene nanoribbons (GNRs), reports on coronene-based GNRs were very rare, despite the unique optoelectronic properties of coronene. Herein, the synthesis of a series of structurally precise and soluble thieno-fused coronene nanoribbons (CR-1 to CR-4) with up to four coronene units connected through benzene rings along their K-regions is described by two different synthetic approaches. Due to the triptycene end-caps all CRs are highly soluble, allowing to characterize such structures in solution and study the length dependent photophysical properties which are supported by theoretical calculations.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Among graphene nanoribbons (GNRs), reports on coronene-based GNRs were very rare, despite the unique optoelectronic properties of coronene. Herein, the synthesis of a series of structurally precise and soluble thieno-fused coronene nanoribbons (CR-1 to CR-4) with up to four coronene units connected through benzene rings along their K-regions is described by two different synthetic approaches. Due to the triptycene end-caps all CRs are highly soluble, allowing to characterize such structures in solution and study the length dependent photophysical properties which are supported by theoretical calculations.","Subject":"Chemistry","Keywords":"Absorption; Aromatic Compounds; Hydrocarbons; Precursors; Two Dimensional Materials"},{"pid":"doi:10.11588/data/46LINE","Title":"A Triptycene-Based Enantiopure Bis(Diazadibenzoanthracene) by a Chirality-Assisted Synthesis Approach [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Triptycene-Based Enantiopure Bis(Diazadibenzoanthracene) by a Chirality-Assisted Synthesis Approach [Data]' Description:'By applying a chirality-assisted synthesis (CAS)approach enantiopure diaminodibromotriptycenes were converted to rigid chiral helical diazadibenzoanthracenes, which show besides pronounced Cotton effects in circular dichroism spectra higher photoluminescence quantum yields as comparable carbacyclic analogues. For the enantiopure building blocks, a protocol was developed allowing the large scale synthesis without the necessity of separation via HPLC.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {chirality; chirality-assisted synthesis; chiral resolution; N-heteropolycycles; tritpycene+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Triptycene-Based Enantiopure Bis(Diazadibenzoanthracene) by a Chirality-Assisted Synthesis Approach [Data]' Description:'By applying a chirality-assisted synthesis (CAS)approach enantiopure diaminodibromotriptycenes were converted to rigid chiral helical diazadibenzoanthracenes, which show besides pronounced Cotton effects in circular dichroism spectra higher photoluminescence quantum yields as comparable carbacyclic analogues. For the enantiopure building blocks, a protocol was developed allowing the large scale synthesis without the necessity of separation via HPLC.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"By applying a chirality-assisted synthesis (CAS)approach enantiopure diaminodibromotriptycenes were converted to rigid chiral helical diazadibenzoanthracenes, which show besides pronounced Cotton effects in circular dichroism spectra higher photoluminescence quantum yields as comparable carbacyclic analogues. For the enantiopure building blocks, a protocol was developed allowing the large scale synthesis without the necessity of separation via HPLC.","Subject":"Chemistry","Keywords":"chirality; chirality-assisted synthesis; chiral resolution; N-heteropolycycles; tritpycene"},{"pid":"doi:10.11588/data/645DDB","Title":"N-Acenoacenes: Synthesis and Solid-State Properties [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'N-Acenoacenes: Synthesis and Solid-State Properties [Data]' Description:'Four N-acenoacenes were synthesized and analyzed for theiroptoelectronic properties and solid-state packings. Two of theregioisomeric acridinoacridines are TIPS-ethynylated, whereas theother pair are Boc- and triflate substituted derivatives. The two TIPS-ethynyldiazaacenoacenes were processed into organic thin-filmtransistors with saturation hole mobilities reaching 2.9x10-2 cm2(Vs)-1.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Organic semiconductors+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'N-Acenoacenes: Synthesis and Solid-State Properties [Data]' Description:'Four N-acenoacenes were synthesized and analyzed for theiroptoelectronic properties and solid-state packings. Two of theregioisomeric acridinoacridines are TIPS-ethynylated, whereas theother pair are Boc- and triflate substituted derivatives. The two TIPS-ethynyldiazaacenoacenes were processed into organic thin-filmtransistors with saturation hole mobilities reaching 2.9x10-2 cm2(Vs)-1.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Four N-acenoacenes were synthesized and analyzed for theiroptoelectronic properties and solid-state packings. Two of theregioisomeric acridinoacridines are TIPS-ethynylated, whereas theother pair are Boc- and triflate substituted derivatives. The two TIPS-ethynyldiazaacenoacenes were processed into organic thin-filmtransistors with saturation hole mobilities reaching 2.9x10-2 cm2(Vs)-1.","Subject":"Chemistry","Keywords":"Organic semiconductors"},{"pid":"doi:10.11588/data/7NFYJ0","Title":"Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]' Description:'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {biobased polymers, digital light processing, sustainable 3D printing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]' Description:'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject:'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.","Subject":"Chemistry","Keywords":"biobased polymers, digital light processing, sustainable 3D printing"},{"pid":"doi:10.11588/data/AA3UAQ","Title":"Bond dissociation energies of X−H bonds in proteins [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Bond dissociation energies of X−H bonds in proteins [data]' Description:'Knowledge of reliable X−H bond dissociation energies (X = C, N, O, S) for amino acids in proteinsis key for studying the radical chemistry of proteins. X−H bond dissociation energies of modeldipeptides were computed using the isodesmic reaction method at the BMK/6-31+G(2df,p) andG4(MP2)-6X levels of theory. The density functional theory values agree well with the composite-level calculations. By this high level of theory, combined with a careful choice of reference compoundsand peptide model systems, our work provides a highly valuable data set of bond dissociation energieswith unprecedented accuracy and comprehensiveness. It will likely prove useful to predict proteinbiochemistry involving radicals, e.g., by machine learning.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bond dissociation energies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Bond dissociation energies of X−H bonds in proteins [data]' Description:'Knowledge of reliable X−H bond dissociation energies (X = C, N, O, S) for amino acids in proteinsis key for studying the radical chemistry of proteins. X−H bond dissociation energies of modeldipeptides were computed using the isodesmic reaction method at the BMK/6-31+G(2df,p) andG4(MP2)-6X levels of theory. The density functional theory values agree well with the composite-level calculations. By this high level of theory, combined with a careful choice of reference compoundsand peptide model systems, our work provides a highly valuable data set of bond dissociation energieswith unprecedented accuracy and comprehensiveness. It will likely prove useful to predict proteinbiochemistry involving radicals, e.g., by machine learning.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Knowledge of reliable X−H bond dissociation energies (X = C, N, O, S) for amino acids in proteinsis key for studying the radical chemistry of proteins. X−H bond dissociation energies of modeldipeptides were computed using the isodesmic reaction method at the BMK/6-31+G(2df,p) andG4(MP2)-6X levels of theory. The density functional theory values agree well with the composite-level calculations. By this high level of theory, combined with a careful choice of reference compoundsand peptide model systems, our work provides a highly valuable data set of bond dissociation energieswith unprecedented accuracy and comprehensiveness. It will likely prove useful to predict proteinbiochemistry involving radicals, e.g., by machine learning.","Subject":"Chemistry","Keywords":"Bond dissociation energies"},{"pid":"doi:10.11588/data/AUTKBW","Title":"Substituted Cyclopentannulated Tetraazapentacenes [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Substituted Cyclopentannulated Tetraazapentacenes [data]' Description:'Brominated pentannulated dihydrotetraazapentacenes were prepared by gold- or palladium-catalyzed 5-endo-dig cyclization of TIPS-ethynylated dihydrotetraazaacenes (TIPS = triisopropylsilyl). Post-functionalization was demonstrated by Sonogashira alkynylation and Rosenmund-von Braun cyanation. Calculations predict these species to act as n-type semiconductors, which was verified for two derivates through characterization in organic field-effect transistors.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cyclization; dihydroazaacenes; postfunctionalization; semiconductor; solid-state packing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Substituted Cyclopentannulated Tetraazapentacenes [data]' Description:'Brominated pentannulated dihydrotetraazapentacenes were prepared by gold- or palladium-catalyzed 5-endo-dig cyclization of TIPS-ethynylated dihydrotetraazaacenes (TIPS = triisopropylsilyl). Post-functionalization was demonstrated by Sonogashira alkynylation and Rosenmund-von Braun cyanation. Calculations predict these species to act as n-type semiconductors, which was verified for two derivates through characterization in organic field-effect transistors.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Brominated pentannulated dihydrotetraazapentacenes were prepared by gold- or palladium-catalyzed 5-endo-dig cyclization of TIPS-ethynylated dihydrotetraazaacenes (TIPS = triisopropylsilyl). Post-functionalization was demonstrated by Sonogashira alkynylation and Rosenmund-von Braun cyanation. Calculations predict these species to act as n-type semiconductors, which was verified for two derivates through characterization in organic field-effect transistors.","Subject":"Chemistry","Keywords":"cyclization; dihydroazaacenes; postfunctionalization; semiconductor; solid-state packing"},{"pid":"doi:10.11588/data/AYZTZF","Title":"Neuartige Azaacene – Synthese und Anwendung in organischen Feldeffekttransistoren [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Neuartige Azaacene – Synthese und Anwendung in organischen Feldeffekttransistoren [Data]' Description:'Die vorliegende Dissertation befasst sich mit der Synthese und Charakterisierung neuartiger Azaacene und Aza-acenoacene aus Acridonen. Dabei steht der Einfluss der Regioisomerie auf die Kristallpackung und die potentielle Anwendung als Halbleitermaterial in organischen Feldeffekttransistoren im Fokus.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {organic chemistry; Organic semiconductors; Solid-state structure+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Neuartige Azaacene – Synthese und Anwendung in organischen Feldeffekttransistoren [Data]' Description:'Die vorliegende Dissertation befasst sich mit der Synthese und Charakterisierung neuartiger Azaacene und Aza-acenoacene aus Acridonen. Dabei steht der Einfluss der Regioisomerie auf die Kristallpackung und die potentielle Anwendung als Halbleitermaterial in organischen Feldeffekttransistoren im Fokus.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Die vorliegende Dissertation befasst sich mit der Synthese und Charakterisierung neuartiger Azaacene und Aza-acenoacene aus Acridonen. Dabei steht der Einfluss der Regioisomerie auf die Kristallpackung und die potentielle Anwendung als Halbleitermaterial in organischen Feldeffekttransistoren im Fokus.","Subject":"Chemistry","Keywords":"organic chemistry; Organic semiconductors; Solid-state structure"},{"pid":"doi:10.11588/data/B1JIFI","Title":"Proving Triptycene Homoconjugation with the Same Chromophore but Different Connectivity to the Core [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Proving Triptycene Homoconjugation with the Same Chromophore but Different Connectivity to the Core [Data]' Description:'Homoconjugation is a phenomenon discussed for various π-systems where classical conjugation is broken by e.g. methylene units but still a stabilization by electronic communication exists. In this respect, triptycene with its rigid C3 symmetric geometry is an ideal scaffold to study this phenomenon. Although several studies based on triptycene strengthen the hypothesis of homoconjugation, in all described cases the electronic communication through space relies on different π-blades. Here, two triptycenes are presented having the exact same π-extended chromophore, but differently annulated to the bicyclic core. Both compounds were investigated by spectroscopic as well as computational means and compared with the corresponding model compound, elucidating the influence of the attachment site to the triptycene core on potential homoconjugation.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {homoconjugation; Pictet-Spengler reaction; three-dimensional π-extended molecules; triptycenes+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Proving Triptycene Homoconjugation with the Same Chromophore but Different Connectivity to the Core [Data]' Description:'Homoconjugation is a phenomenon discussed for various π-systems where classical conjugation is broken by e.g. methylene units but still a stabilization by electronic communication exists. In this respect, triptycene with its rigid C3 symmetric geometry is an ideal scaffold to study this phenomenon. Although several studies based on triptycene strengthen the hypothesis of homoconjugation, in all described cases the electronic communication through space relies on different π-blades. Here, two triptycenes are presented having the exact same π-extended chromophore, but differently annulated to the bicyclic core. Both compounds were investigated by spectroscopic as well as computational means and compared with the corresponding model compound, elucidating the influence of the attachment site to the triptycene core on potential homoconjugation.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Homoconjugation is a phenomenon discussed for various π-systems where classical conjugation is broken by e.g. methylene units but still a stabilization by electronic communication exists. In this respect, triptycene with its rigid C3 symmetric geometry is an ideal scaffold to study this phenomenon. Although several studies based on triptycene strengthen the hypothesis of homoconjugation, in all described cases the electronic communication through space relies on different π-blades. Here, two triptycenes are presented having the exact same π-extended chromophore, but differently annulated to the bicyclic core. Both compounds were investigated by spectroscopic as well as computational means and compared with the corresponding model compound, elucidating the influence of the attachment site to the triptycene core on potential homoconjugation.","Subject":"Chemistry","Keywords":"homoconjugation; Pictet-Spengler reaction; three-dimensional π-extended molecules; triptycenes"},{"pid":"doi:10.11588/data/CSP7AW","Title":"Azaarenes: 13 Rings in a Row by Cyclopentannulation [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Azaarenes: 13 Rings in a Row by Cyclopentannulation [data]' Description:'Cyclopentannulation was explored as a strategy to access large, stable azaarenes. Buchwald-Hartwig coupling of previously reported di- and tetrabrominated cyclopentannulated N,N'-dihydrotetraazapentacenes furnished stable azaarenes with up to 13 six-membered rings in a row and a length of 3.1 nm. Their optoelectronic and semi-conducting properties as well as their aromaticity were investigated.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aromaticity; Azaacenes; Azaarenes; Cyclopentannulation; Molecular Nanocarbons+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Azaarenes: 13 Rings in a Row by Cyclopentannulation [data]' Description:'Cyclopentannulation was explored as a strategy to access large, stable azaarenes. Buchwald-Hartwig coupling of previously reported di- and tetrabrominated cyclopentannulated N,N'-dihydrotetraazapentacenes furnished stable azaarenes with up to 13 six-membered rings in a row and a length of 3.1 nm. Their optoelectronic and semi-conducting properties as well as their aromaticity were investigated.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Cyclopentannulation was explored as a strategy to access large, stable azaarenes. Buchwald-Hartwig coupling of previously reported di- and tetrabrominated cyclopentannulated N,N'-dihydrotetraazapentacenes furnished stable azaarenes with up to 13 six-membered rings in a row and a length of 3.1 nm. Their optoelectronic and semi-conducting properties as well as their aromaticity were investigated.","Subject":"Chemistry","Keywords":"Aromaticity; Azaacenes; Azaarenes; Cyclopentannulation; Molecular Nanocarbons"},{"pid":"doi:10.11588/data/CVD7WF","Title":"Persistent Ambipolar Heptacenes and Their Redox Species [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Persistent Ambipolar Heptacenes and Their Redox Species [Data]' Description:'Research Data associated with the related publication.Sixfold TIPS-ethynylation combined with fourfold bromination of the armchair edges furnishes a long-lived, soluble heptacene; π-extension via Stille coupling accesses a persistent tetrabenzononacene. Both types of acenes were stabilized best by double TIPS-ethynylation on every other benzene ring. Tetrabromoheptacene is an ambipolar transistor material (up to 0.036 cm2/Vs n channel), which was corroborated by generation of its monoanion and monocation.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {acenes; heptacene; nonacene; polycyclic aromatic hydrocarbons; steric shielding+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Persistent Ambipolar Heptacenes and Their Redox Species [Data]' Description:'Research Data associated with the related publication.Sixfold TIPS-ethynylation combined with fourfold bromination of the armchair edges furnishes a long-lived, soluble heptacene; π-extension via Stille coupling accesses a persistent tetrabenzononacene. Both types of acenes were stabilized best by double TIPS-ethynylation on every other benzene ring. Tetrabromoheptacene is an ambipolar transistor material (up to 0.036 cm2/Vs n channel), which was corroborated by generation of its monoanion and monocation.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data associated with the related publication.Sixfold TIPS-ethynylation combined with fourfold bromination of the armchair edges furnishes a long-lived, soluble heptacene; π-extension via Stille coupling accesses a persistent tetrabenzononacene. Both types of acenes were stabilized best by double TIPS-ethynylation on every other benzene ring. Tetrabromoheptacene is an ambipolar transistor material (up to 0.036 cm2/Vs n channel), which was corroborated by generation of its monoanion and monocation.","Subject":"Chemistry","Keywords":"acenes; heptacene; nonacene; polycyclic aromatic hydrocarbons; steric shielding"},{"pid":"doi:10.11588/data/EBY4AN","Title":"A Hexagonal Shape-Persistent Nanobelt of Elongated Rhombic Symmetry with Orthogonal π-Planes by a One-Pot Reaction [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Hexagonal Shape-Persistent Nanobelt of Elongated Rhombic Symmetry with Orthogonal π-Planes by a One-Pot Reaction [Data]' Description:'Triptycenes with their predefined D3h-symmetry are excellent molecular building blocks to construct shape-persistent nanobelts having π-orbitals orthogonal to the ring plane. However, up to now, there are only a very few examples of fused and rigid iptycene nanobelts synthesized in several consecutive steps in overall yields below 1%. Here we present the simple one-step one-potapproach to an iptycene nanobelt, which forms in >2% and can readily isolated from the polymeric by-product by gel-permeation chromatography.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Cycloiptycene; Nanobelts; N-Heterocyclic Aromatic Compounds; Phenazine; Triptycene+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Hexagonal Shape-Persistent Nanobelt of Elongated Rhombic Symmetry with Orthogonal π-Planes by a One-Pot Reaction [Data]' Description:'Triptycenes with their predefined D3h-symmetry are excellent molecular building blocks to construct shape-persistent nanobelts having π-orbitals orthogonal to the ring plane. However, up to now, there are only a very few examples of fused and rigid iptycene nanobelts synthesized in several consecutive steps in overall yields below 1%. Here we present the simple one-step one-potapproach to an iptycene nanobelt, which forms in >2% and can readily isolated from the polymeric by-product by gel-permeation chromatography.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Triptycenes with their predefined D3h-symmetry are excellent molecular building blocks to construct shape-persistent nanobelts having π-orbitals orthogonal to the ring plane. However, up to now, there are only a very few examples of fused and rigid iptycene nanobelts synthesized in several consecutive steps in overall yields below 1%. Here we present the simple one-step one-potapproach to an iptycene nanobelt, which forms in >2% and can readily isolated from the polymeric by-product by gel-permeation chromatography.","Subject":"Chemistry","Keywords":"Cycloiptycene; Nanobelts; N-Heterocyclic Aromatic Compounds; Phenazine; Triptycene"},{"pid":"doi:10.11588/data/FABJEI","Title":"A Stable Hexaazaoctacene Cruciform σ-Dimer [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Stable Hexaazaoctacene Cruciform σ-Dimer [Data]' Description:'Buchwald‐Hartwig coupling of a triisopropylsilyl (TIPS)‐ethynylated dibromo‐N,N'‐dihydrotetraazapentacene with 1,4‐bis(TIPS‐ethynyl)‐2,3‐diaminonaphthalene furnishes a dihydrohexaazaoctacene. Its oxidation with MnO2 results in a 7,7'‐bi(hexaazaoctacenyl). In addition to eight TIPS‐ethynyl groups, the bioctacene motif protects the azaoctacene subunits. The biazaoctacenyl displays a τ1/2 of > 5 d in dilute solution under ambient conditions. In the crystalline state it is persistent for > 10 months.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {acenes; azaoctacene; biacenyl; heteroacene; octacene; stabilization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Stable Hexaazaoctacene Cruciform σ-Dimer [Data]' Description:'Buchwald‐Hartwig coupling of a triisopropylsilyl (TIPS)‐ethynylated dibromo‐N,N'‐dihydrotetraazapentacene with 1,4‐bis(TIPS‐ethynyl)‐2,3‐diaminonaphthalene furnishes a dihydrohexaazaoctacene. Its oxidation with MnO2 results in a 7,7'‐bi(hexaazaoctacenyl). In addition to eight TIPS‐ethynyl groups, the bioctacene motif protects the azaoctacene subunits. The biazaoctacenyl displays a τ1/2 of > 5 d in dilute solution under ambient conditions. In the crystalline state it is persistent for > 10 months.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Buchwald‐Hartwig coupling of a triisopropylsilyl (TIPS)‐ethynylated dibromo‐N,N'‐dihydrotetraazapentacene with 1,4‐bis(TIPS‐ethynyl)‐2,3‐diaminonaphthalene furnishes a dihydrohexaazaoctacene. Its oxidation with MnO2 results in a 7,7'‐bi(hexaazaoctacenyl). In addition to eight TIPS‐ethynyl groups, the bioctacene motif protects the azaoctacene subunits. The biazaoctacenyl displays a τ1/2 of > 5 d in dilute solution under ambient conditions. In the crystalline state it is persistent for > 10 months.","Subject":"Chemistry","Keywords":"acenes; azaoctacene; biacenyl; heteroacene; octacene; stabilization"},{"pid":"doi:10.11588/data/HI9BJD","Title":"Dimeric and Trimeric Catenation of Giant Chiral [8+12] Imine Cubes Driven by Weak Supramolecular Interactions [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dimeric and Trimeric Catenation of Giant Chiral [8+12] Imine Cubes Driven by Weak Supramolecular Interactions [Data]' Description:'Mechanically interlocked structures, such as catenanes or rotaxanes are fascinating synthetic targets and some are used for molecular switches and machines. Today, the vast majority of catenated structures are built upon macrocycles and only a very few examples of three-dimensional shape-persistent organic cages forming such structures are reported. However, the catenation in all these cases was based on a thermodynamically favoured π-π stacking under certain reaction conditions. Here, we present our findings that catenane formation can be driven by even less directional dispersion (Keesom) interactions of methoxy-groups during the synthesis of chiral [8+12] imine cubes, giving dimeric and also for the first time trimeric catenated organic cages. To further elucidate the underlying driving forces, eleven differently 1,4-substituted benzene dialdehydes have been reacted with a chiral triamino tribenzotriquinacene under various conditions to study whether monomeric cages or catenated cage dimers are the preferred products.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Interlocked molecules; Molecular capsules+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dimeric and Trimeric Catenation of Giant Chiral [8+12] Imine Cubes Driven by Weak Supramolecular Interactions [Data]' Description:'Mechanically interlocked structures, such as catenanes or rotaxanes are fascinating synthetic targets and some are used for molecular switches and machines. Today, the vast majority of catenated structures are built upon macrocycles and only a very few examples of three-dimensional shape-persistent organic cages forming such structures are reported. However, the catenation in all these cases was based on a thermodynamically favoured π-π stacking under certain reaction conditions. Here, we present our findings that catenane formation can be driven by even less directional dispersion (Keesom) interactions of methoxy-groups during the synthesis of chiral [8+12] imine cubes, giving dimeric and also for the first time trimeric catenated organic cages. To further elucidate the underlying driving forces, eleven differently 1,4-substituted benzene dialdehydes have been reacted with a chiral triamino tribenzotriquinacene under various conditions to study whether monomeric cages or catenated cage dimers are the preferred products.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mechanically interlocked structures, such as catenanes or rotaxanes are fascinating synthetic targets and some are used for molecular switches and machines. Today, the vast majority of catenated structures are built upon macrocycles and only a very few examples of three-dimensional shape-persistent organic cages forming such structures are reported. However, the catenation in all these cases was based on a thermodynamically favoured π-π stacking under certain reaction conditions. Here, we present our findings that catenane formation can be driven by even less directional dispersion (Keesom) interactions of methoxy-groups during the synthesis of chiral [8+12] imine cubes, giving dimeric and also for the first time trimeric catenated organic cages. To further elucidate the underlying driving forces, eleven differently 1,4-substituted benzene dialdehydes have been reacted with a chiral triamino tribenzotriquinacene under various conditions to study whether monomeric cages or catenated cage dimers are the preferred products.","Subject":"Chemistry","Keywords":"Interlocked molecules; Molecular capsules"},{"pid":"doi:10.11588/data/HJ6SVM","Title":"Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Collagen; KIMMDY; Mechanoracials; Molecular Dynamics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:'Chemistry; Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.","Subject":"Chemistry","Keywords":"Collagen; KIMMDY; Mechanoracials; Molecular Dynamics"},{"pid":"doi:10.11588/data/HV4MJW","Title":"Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description:'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {pH-switch; protein engineering; receptor; WW domain; zinc switch+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description:'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject:'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.","Subject":"Chemistry","Keywords":"pH-switch; protein engineering; receptor; WW domain; zinc switch"},{"pid":"doi:10.11588/data/HWLKZT","Title":"[2+3] Amide Cages by Oxidation of [2+3] Imine Cages - Revisiting Molecular Hosts for Efficient Nitrate Binding [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'[2+3] Amide Cages by Oxidation of [2+3] Imine Cages - Revisiting Molecular Hosts for Efficient Nitrate Binding [Data]' Description:'The pollution of groundwater with nitrate is a serious issue because nitrate can cause several diseases such as methemoglobinemia or cancer. Therefore, selective removal of nitrate by efficient binding to supramolecular hosts is highly desired. Here we describe how to make [2+3] amide cages in very high to quantitative yields by applying an optimized Pinnick oxidation protocol for the conversion of corresponding imine cages. By NMR titration experiments of the eight different [2+3] amide cages with nitrate, chloride and hydrogen sulfate we identified one cage with an unprecedented high selectivity towards nitrate binding vs chloride (S = 446) or hydrogensulfate (S >13000). NMR experiments as well as single-crystal structure comparison of host-guest complexes gave insight into structure property relationships.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Amides; Anions; dynamic covalent chemistry; Noncovalent interactions; organic cage compounds+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'[2+3] Amide Cages by Oxidation of [2+3] Imine Cages - Revisiting Molecular Hosts for Efficient Nitrate Binding [Data]' Description:'The pollution of groundwater with nitrate is a serious issue because nitrate can cause several diseases such as methemoglobinemia or cancer. Therefore, selective removal of nitrate by efficient binding to supramolecular hosts is highly desired. Here we describe how to make [2+3] amide cages in very high to quantitative yields by applying an optimized Pinnick oxidation protocol for the conversion of corresponding imine cages. By NMR titration experiments of the eight different [2+3] amide cages with nitrate, chloride and hydrogen sulfate we identified one cage with an unprecedented high selectivity towards nitrate binding vs chloride (S = 446) or hydrogensulfate (S >13000). NMR experiments as well as single-crystal structure comparison of host-guest complexes gave insight into structure property relationships.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The pollution of groundwater with nitrate is a serious issue because nitrate can cause several diseases such as methemoglobinemia or cancer. Therefore, selective removal of nitrate by efficient binding to supramolecular hosts is highly desired. Here we describe how to make [2+3] amide cages in very high to quantitative yields by applying an optimized Pinnick oxidation protocol for the conversion of corresponding imine cages. By NMR titration experiments of the eight different [2+3] amide cages with nitrate, chloride and hydrogen sulfate we identified one cage with an unprecedented high selectivity towards nitrate binding vs chloride (S = 446) or hydrogensulfate (S >13000). NMR experiments as well as single-crystal structure comparison of host-guest complexes gave insight into structure property relationships.","Subject":"Chemistry","Keywords":"Amides; Anions; dynamic covalent chemistry; Noncovalent interactions; organic cage compounds"},{"pid":"doi:10.11588/data/IX51KS","Title":"SO2 and BrO emissions of Masaya volcano from 2014 to 2020 [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'SO2 and BrO emissions of Masaya volcano from 2014 to 2020 [Research Data]' Description:'EXCERPT FROM ABSTRACT: Masaya (Nicaragua, 12.0°N, 86.2°W; 635m a.s.l.) is one of the few volcanoes hosting a lava lake, today. This study has two foci: (1) discussing the state of the art of long-term SO2 emission flux monitoring with the example of Masaya and (2) the provision and discussion of a continuous data set on volcanic gas data with a large temporal coverage, which is a major extension of the empirical database for studies in volcanology as well as atmospheric bromine chemistry. We present time series of SO2 emission fluxes and BrO/SO2 molar ratios in the gas plume of Masaya from March 2014 to March 2020.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Remote sensing; Volcanic gas emissions; Volcanic gas emissions+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'SO2 and BrO emissions of Masaya volcano from 2014 to 2020 [Research Data]' Description:'EXCERPT FROM ABSTRACT: Masaya (Nicaragua, 12.0°N, 86.2°W; 635m a.s.l.) is one of the few volcanoes hosting a lava lake, today. This study has two foci: (1) discussing the state of the art of long-term SO2 emission flux monitoring with the example of Masaya and (2) the provision and discussion of a continuous data set on volcanic gas data with a large temporal coverage, which is a major extension of the empirical database for studies in volcanology as well as atmospheric bromine chemistry. We present time series of SO2 emission fluxes and BrO/SO2 molar ratios in the gas plume of Masaya from March 2014 to March 2020.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"EXCERPT FROM ABSTRACT: Masaya (Nicaragua, 12.0°N, 86.2°W; 635m a.s.l.) is one of the few volcanoes hosting a lava lake, today. This study has two foci: (1) discussing the state of the art of long-term SO2 emission flux monitoring with the example of Masaya and (2) the provision and discussion of a continuous data set on volcanic gas data with a large temporal coverage, which is a major extension of the empirical database for studies in volcanology as well as atmospheric bromine chemistry. We present time series of SO2 emission fluxes and BrO/SO2 molar ratios in the gas plume of Masaya from March 2014 to March 2020.","Subject":"Chemistry","Keywords":"Remote sensing; Volcanic gas emissions; Volcanic gas emissions"},{"pid":"doi:10.11588/data/JCO0E4","Title":"The Radical Anion and Dianion of Benzo[3,4]cyclobuta[1,2-b]phenazine [NMR data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Radical Anion and Dianion of Benzo[3,4]cyclobuta[1,2-b]phenazine [NMR data]' Description:'The data set includes the NMR data for the puplication: 'The Radical Anion and Dianion of Benzo[3,4]cyclobuta[1,2-b]phenazine'.We present the reduction of two azaarenes, featuring a single cyclobutadiene unit, to their radical anions and dianions. The reduced species were prepared with potassium naphthalenide in the presence of 18-crown-6 in THF. The crystal structures of the reduced representatives were obtained and their optoelectronic properties were evaluated. The charge of these 4n-Hückel systems leads to dianionic 4n+2 π-electron systems with enhanced antiaromaticity according to NICS(1.7)ZZ calculations, which exhibit unusually red-shifted absorption spectra.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {azaacene; biphenylene; dianion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Radical Anion and Dianion of Benzo[3,4]cyclobuta[1,2-b]phenazine [NMR data]' Description:'The data set includes the NMR data for the puplication: 'The Radical Anion and Dianion of Benzo[3,4]cyclobuta[1,2-b]phenazine'.We present the reduction of two azaarenes, featuring a single cyclobutadiene unit, to their radical anions and dianions. The reduced species were prepared with potassium naphthalenide in the presence of 18-crown-6 in THF. The crystal structures of the reduced representatives were obtained and their optoelectronic properties were evaluated. The charge of these 4n-Hückel systems leads to dianionic 4n+2 π-electron systems with enhanced antiaromaticity according to NICS(1.7)ZZ calculations, which exhibit unusually red-shifted absorption spectra.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data set includes the NMR data for the puplication: 'The Radical Anion and Dianion of Benzo[3,4]cyclobuta[1,2-b]phenazine'.We present the reduction of two azaarenes, featuring a single cyclobutadiene unit, to their radical anions and dianions. The reduced species were prepared with potassium naphthalenide in the presence of 18-crown-6 in THF. The crystal structures of the reduced representatives were obtained and their optoelectronic properties were evaluated. The charge of these 4n-Hückel systems leads to dianionic 4n+2 π-electron systems with enhanced antiaromaticity according to NICS(1.7)ZZ calculations, which exhibit unusually red-shifted absorption spectra.","Subject":"Chemistry","Keywords":"azaacene; biphenylene; dianion"},{"pid":"doi:10.11588/data/LMMXAI","Title":"Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]' Description:'Research Data and Source Code associated with the related publication.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {electron beam lithography; hydrogen storage; in situ TEM; magnesium hydride; metastable phases; plasmonics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]' Description:'Research Data and Source Code associated with the related publication.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data and Source Code associated with the related publication.","Subject":"Chemistry","Keywords":"electron beam lithography; hydrogen storage; in situ TEM; magnesium hydride; metastable phases; plasmonics"},{"pid":"doi:10.11588/data/LOR2JH","Title":"Synthesis of Large [2+3] Salicylimine Cages with Embedded Metal-Salphen Units [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Synthesis of Large [2+3] Salicylimine Cages with Embedded Metal-Salphen Units [Data]' Description:'Shape-persistent trinuclear Ni(II)- and Pt(II)-cage compounds with large cavities have been synthesized by using bissalicylaldehyde struts that contain the metal salphen units already. The Pt(II) derivative was investigated by single crystal X-ray diffraction.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Nickel; Organic cage compounds; Platinum; Salphen; Trinuclear complexes+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Synthesis of Large [2+3] Salicylimine Cages with Embedded Metal-Salphen Units [Data]' Description:'Shape-persistent trinuclear Ni(II)- and Pt(II)-cage compounds with large cavities have been synthesized by using bissalicylaldehyde struts that contain the metal salphen units already. The Pt(II) derivative was investigated by single crystal X-ray diffraction.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Shape-persistent trinuclear Ni(II)- and Pt(II)-cage compounds with large cavities have been synthesized by using bissalicylaldehyde struts that contain the metal salphen units already. The Pt(II) derivative was investigated by single crystal X-ray diffraction.","Subject":"Chemistry","Keywords":"Nickel; Organic cage compounds; Platinum; Salphen; Trinuclear complexes"},{"pid":"doi:10.11588/data/MR5H4A","Title":"A Facile Approach for 4D Microprinting of Multi-Photoresponsive Actuators [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A Facile Approach for 4D Microprinting of Multi-Photoresponsive Actuators [data]' Description:'For microscale 4D photoresponsive actuators, light is crucial in two ways. First, the underlying additive manufacturing techniques rely on photopolymerization processes triggered by the absorption of light. Second, the absorption of light serves as the actuation stimulus. The two absorptions can be conflicting. While the microstructure requires strong absorption at the actuation wavelength(s), this absorption should not interfere with that of the manufacturing process. Herein, we propose a simple strategy to overcome these limitations and allow for the fabrication of multi-photoresponsive 3D microstructures that can be actuated at different wavelengths of light. Two-photon 3D laser printing is selected as the fabrication technique and liquid crystalline (LC) elastomers as the functional materials. In a first step, 3D microstructures are fabricated using an aligned LC ink formulation. Thereafter, up to five different dyes exhibiting absorptions that extend over the entire visible regime (400 - 700 nm) are successfully incorporated into the LC microstructures by an exchange process enabling a programmable actuation by irradiating with the suitable wavelength. Furthermore, by combining dyes exhibiting orthogonal absorptions, wavelength-selective actuations are demonstrated.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {4D microprinting; liquid crystal elastomers; photo-switches; stimuli responsive polymers; two-photon laser printing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A Facile Approach for 4D Microprinting of Multi-Photoresponsive Actuators [data]' Description:'For microscale 4D photoresponsive actuators, light is crucial in two ways. First, the underlying additive manufacturing techniques rely on photopolymerization processes triggered by the absorption of light. Second, the absorption of light serves as the actuation stimulus. The two absorptions can be conflicting. While the microstructure requires strong absorption at the actuation wavelength(s), this absorption should not interfere with that of the manufacturing process. Herein, we propose a simple strategy to overcome these limitations and allow for the fabrication of multi-photoresponsive 3D microstructures that can be actuated at different wavelengths of light. Two-photon 3D laser printing is selected as the fabrication technique and liquid crystalline (LC) elastomers as the functional materials. In a first step, 3D microstructures are fabricated using an aligned LC ink formulation. Thereafter, up to five different dyes exhibiting absorptions that extend over the entire visible regime (400 - 700 nm) are successfully incorporated into the LC microstructures by an exchange process enabling a programmable actuation by irradiating with the suitable wavelength. Furthermore, by combining dyes exhibiting orthogonal absorptions, wavelength-selective actuations are demonstrated.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"For microscale 4D photoresponsive actuators, light is crucial in two ways. First, the underlying additive manufacturing techniques rely on photopolymerization processes triggered by the absorption of light. Second, the absorption of light serves as the actuation stimulus. The two absorptions can be conflicting. While the microstructure requires strong absorption at the actuation wavelength(s), this absorption should not interfere with that of the manufacturing process. Herein, we propose a simple strategy to overcome these limitations and allow for the fabrication of multi-photoresponsive 3D microstructures that can be actuated at different wavelengths of light. Two-photon 3D laser printing is selected as the fabrication technique and liquid crystalline (LC) elastomers as the functional materials. In a first step, 3D microstructures are fabricated using an aligned LC ink formulation. Thereafter, up to five different dyes exhibiting absorptions that extend over the entire visible regime (400 - 700 nm) are successfully incorporated into the LC microstructures by an exchange process enabling a programmable actuation by irradiating with the suitable wavelength. Furthermore, by combining dyes exhibiting orthogonal absorptions, wavelength-selective actuations are demonstrated.","Subject":"Chemistry","Keywords":"4D microprinting; liquid crystal elastomers; photo-switches; stimuli responsive polymers; two-photon laser printing"},{"pid":"doi:10.11588/data/MU3CON","Title":"Methane cycling in a eutrophic lake characterised by multiple stable isotope and flux measurements [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Methane cycling in a eutrophic lake characterised by multiple stable isotope and flux measurements [data]' Description:'Recent estimations demonstrate that methane (CH4) emissions from aquatic systems are responsible for up to half of global CH4 emissions. Lakes represent one of the largest CH4 sources, and emissions are predicted to increase due to global warming. However, there is a large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere. Emissions result from the interplay between physical transport, CH4 production and consumption processes, which remain poorly understood. Especially the recently discovered CH4 production in oxic water layers (OMP) questions the traditional understanding of CH4 formation processes and might constitute a major driver of limnic CH4 emissions. However, the underlying mechanisms and pathways of OMP are largely unknown.In the scope of this study, a combination of field measurements and laboratory incubation experiments as well as concentration measurements and stable isotope techniques were conducted to disentangle the complex processes involved in the CH4 cycle of small, seasonally stratified, eutrophic Lake Willersinnweiher, which is situated in south-west Germany. Methane oversaturation in the water column of Lake Willersinnweiher was found throughout the whole year. However, seasonal and spatial variations of dissolved CH4 depending on lake stratification were observed. Spatial disparities of epilimnic CH4 concentrations indicated that lateral input of CH4 originated mainly from a few selected shallow sites and not from the whole littoral area of the lake. Inflowing groundwater characterised by high CH4 concentrations, which were unusually enriched in 13C and deuterium (2H), further contributed to CH4 supersaturation in the water column. During the stratification period, accumulation of CH4 just below the thermocline coincided with chlorophyll-a peaks, thus indicating the potential presence of OMP in connection with phytoplankton blooms at Lake Willersinnweiher. The potential occurrence of OMP was further validated by a mass-balance approach and by identifying methyl phosphonate, methylamine, and methionine as three potential precursor compounds of CH4 in the oxic water column. In the sediment, the stable carbon (δ13C-CH4) and stable hydrogen (δ2H-CH4) isotope values of CH4 revealed the contribution of different pathways of methanogenic CH4 production depending on water depth. However, sulphate (SO42-)-dependent anaerobic methane oxidation (AOM), revealed by flux measurements, stable isotope evidence of CH4 and dissolved inorganic carbon (DIC) acted as a sink of sedimentary CH4 that substantially diminished CH4 fluxes from the sediment into bottom waters. Furthermore, CH4 from the anoxic CH4-rich hypolimnion was largely depleted by aerobic methane oxidation (MOx) at the oxic-anoxic interface. Methane fluxes from the water column to the atmosphere as well as its stable isotopic values showed strong seasonal dependence and variations, with CH4 being more enriched in 13C and 2H during the mixing period in winter compared to the stratification period in summer. While diffusive CH4 fluxes dominated total CH4 emissions during the mixing period, ebullition was the main contributor to CH4 emissions during the stratification period. Furthermore, the recently introduced isotope indicator Δ(2,13) was applied to characterise CH4 sources at Lake Willersinnweiher. Δ(2,13) values implied that littoral and groundwater inputs of CH4 mainly contributed to CH4 supersaturation at Lake Willersinnweiher during the mixing period. However, lateral and vertical CH4 inputs alone could not explain CH4 supersaturation during the stratification period. Therefore, OMP might be another important CH4 source. This study shows that all investigated sinks and sources of CH4 are subject to strong variations based on lake stratification, physicochemical conditions, and lake depth. Hence, the results of this study suggest that a combination of dual isotope and concentration measurements of CH4 is a promising tool in order to untangle seasonal and spatial dynamics of CH4 sources and sinks in the complex CH4 cycle of lakes.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lake; methane cycle; stable carbon isotopes; stable hydrogen isotopes; Δ(2,13) values+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Methane cycling in a eutrophic lake characterised by multiple stable isotope and flux measurements [data]' Description:'Recent estimations demonstrate that methane (CH4) emissions from aquatic systems are responsible for up to half of global CH4 emissions. Lakes represent one of the largest CH4 sources, and emissions are predicted to increase due to global warming. However, there is a large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere. Emissions result from the interplay between physical transport, CH4 production and consumption processes, which remain poorly understood. Especially the recently discovered CH4 production in oxic water layers (OMP) questions the traditional understanding of CH4 formation processes and might constitute a major driver of limnic CH4 emissions. However, the underlying mechanisms and pathways of OMP are largely unknown.In the scope of this study, a combination of field measurements and laboratory incubation experiments as well as concentration measurements and stable isotope techniques were conducted to disentangle the complex processes involved in the CH4 cycle of small, seasonally stratified, eutrophic Lake Willersinnweiher, which is situated in south-west Germany. Methane oversaturation in the water column of Lake Willersinnweiher was found throughout the whole year. However, seasonal and spatial variations of dissolved CH4 depending on lake stratification were observed. Spatial disparities of epilimnic CH4 concentrations indicated that lateral input of CH4 originated mainly from a few selected shallow sites and not from the whole littoral area of the lake. Inflowing groundwater characterised by high CH4 concentrations, which were unusually enriched in 13C and deuterium (2H), further contributed to CH4 supersaturation in the water column. During the stratification period, accumulation of CH4 just below the thermocline coincided with chlorophyll-a peaks, thus indicating the potential presence of OMP in connection with phytoplankton blooms at Lake Willersinnweiher. The potential occurrence of OMP was further validated by a mass-balance approach and by identifying methyl phosphonate, methylamine, and methionine as three potential precursor compounds of CH4 in the oxic water column. In the sediment, the stable carbon (δ13C-CH4) and stable hydrogen (δ2H-CH4) isotope values of CH4 revealed the contribution of different pathways of methanogenic CH4 production depending on water depth. However, sulphate (SO42-)-dependent anaerobic methane oxidation (AOM), revealed by flux measurements, stable isotope evidence of CH4 and dissolved inorganic carbon (DIC) acted as a sink of sedimentary CH4 that substantially diminished CH4 fluxes from the sediment into bottom waters. Furthermore, CH4 from the anoxic CH4-rich hypolimnion was largely depleted by aerobic methane oxidation (MOx) at the oxic-anoxic interface. Methane fluxes from the water column to the atmosphere as well as its stable isotopic values showed strong seasonal dependence and variations, with CH4 being more enriched in 13C and 2H during the mixing period in winter compared to the stratification period in summer. While diffusive CH4 fluxes dominated total CH4 emissions during the mixing period, ebullition was the main contributor to CH4 emissions during the stratification period. Furthermore, the recently introduced isotope indicator Δ(2,13) was applied to characterise CH4 sources at Lake Willersinnweiher. Δ(2,13) values implied that littoral and groundwater inputs of CH4 mainly contributed to CH4 supersaturation at Lake Willersinnweiher during the mixing period. However, lateral and vertical CH4 inputs alone could not explain CH4 supersaturation during the stratification period. Therefore, OMP might be another important CH4 source. This study shows that all investigated sinks and sources of CH4 are subject to strong variations based on lake stratification, physicochemical conditions, and lake depth. Hence, the results of this study suggest that a combination of dual isotope and concentration measurements of CH4 is a promising tool in order to untangle seasonal and spatial dynamics of CH4 sources and sinks in the complex CH4 cycle of lakes.' Subject:'Chemistry; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Recent estimations demonstrate that methane (CH4) emissions from aquatic systems are responsible for up to half of global CH4 emissions. Lakes represent one of the largest CH4 sources, and emissions are predicted to increase due to global warming. However, there is a large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere. Emissions result from the interplay between physical transport, CH4 production and consumption processes, which remain poorly understood. Especially the recently discovered CH4 production in oxic water layers (OMP) questions the traditional understanding of CH4 formation processes and might constitute a major driver of limnic CH4 emissions. However, the underlying mechanisms and pathways of OMP are largely unknown.In the scope of this study, a combination of field measurements and laboratory incubation experiments as well as concentration measurements and stable isotope techniques were conducted to disentangle the complex processes involved in the CH4 cycle of small, seasonally stratified, eutrophic Lake Willersinnweiher, which is situated in south-west Germany. Methane oversaturation in the water column of Lake Willersinnweiher was found throughout the whole year. However, seasonal and spatial variations of dissolved CH4 depending on lake stratification were observed. Spatial disparities of epilimnic CH4 concentrations indicated that lateral input of CH4 originated mainly from a few selected shallow sites and not from the whole littoral area of the lake. Inflowing groundwater characterised by high CH4 concentrations, which were unusually enriched in 13C and deuterium (2H), further contributed to CH4 supersaturation in the water column. During the stratification period, accumulation of CH4 just below the thermocline coincided with chlorophyll-a peaks, thus indicating the potential presence of OMP in connection with phytoplankton blooms at Lake Willersinnweiher. The potential occurrence of OMP was further validated by a mass-balance approach and by identifying methyl phosphonate, methylamine, and methionine as three potential precursor compounds of CH4 in the oxic water column. In the sediment, the stable carbon (δ13C-CH4) and stable hydrogen (δ2H-CH4) isotope values of CH4 revealed the contribution of different pathways of methanogenic CH4 production depending on water depth. However, sulphate (SO42-)-dependent anaerobic methane oxidation (AOM), revealed by flux measurements, stable isotope evidence of CH4 and dissolved inorganic carbon (DIC) acted as a sink of sedimentary CH4 that substantially diminished CH4 fluxes from the sediment into bottom waters. Furthermore, CH4 from the anoxic CH4-rich hypolimnion was largely depleted by aerobic methane oxidation (MOx) at the oxic-anoxic interface. Methane fluxes from the water column to the atmosphere as well as its stable isotopic values showed strong seasonal dependence and variations, with CH4 being more enriched in 13C and 2H during the mixing period in winter compared to the stratification period in summer. While diffusive CH4 fluxes dominated total CH4 emissions during the mixing period, ebullition was the main contributor to CH4 emissions during the stratification period. Furthermore, the recently introduced isotope indicator Δ(2,13) was applied to characterise CH4 sources at Lake Willersinnweiher. Δ(2,13) values implied that littoral and groundwater inputs of CH4 mainly contributed to CH4 supersaturation at Lake Willersinnweiher during the mixing period. However, lateral and vertical CH4 inputs alone could not explain CH4 supersaturation during the stratification period. Therefore, OMP might be another important CH4 source. This study shows that all investigated sinks and sources of CH4 are subject to strong variations based on lake stratification, physicochemical conditions, and lake depth. Hence, the results of this study suggest that a combination of dual isotope and concentration measurements of CH4 is a promising tool in order to untangle seasonal and spatial dynamics of CH4 sources and sinks in the complex CH4 cycle of lakes.","Subject":"Chemistry","Keywords":"lake; methane cycle; stable carbon isotopes; stable hydrogen isotopes; Δ(2,13) values"},{"pid":"doi:10.11588/data/O9I5UP","Title":"Highly Selective Adsorption of Perfluorinated Greenhouse Gases by Porous Organic Cages [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Highly Selective Adsorption of Perfluorinated Greenhouse Gases by Porous Organic Cages [Data]' Description:'Anthropogenic greenhouse gases contribute to global warming. Among those gases, perfluorocarbons (PFCs) are thousands to tens of thousands times more harmful to the environment than comparable amounts of carbon dioxide. Till date, materials that selectively adsorb perfluorocarbons in favor to other less harmful gases have not been reported. Here a series of porous organic cage compounds with alkyl-, fluoroalkyl, and partially fluorinated alkyl groups are presented. Their isomorphic crystalline states allowed us to study the property-relationship of the degree of fluorination of the alkyl chains on gas sorption properties for PFCs and their selective uptakes in comparison to other, non-fluorinated gases. By this approach, one compound was identified, having superior selectivities of PFCs vs N2 or CO2 under ambient conditions.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {climate change; gas adsorption; global warming; perfluorocarbons; porous materials; porous organic cages+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Highly Selective Adsorption of Perfluorinated Greenhouse Gases by Porous Organic Cages [Data]' Description:'Anthropogenic greenhouse gases contribute to global warming. Among those gases, perfluorocarbons (PFCs) are thousands to tens of thousands times more harmful to the environment than comparable amounts of carbon dioxide. Till date, materials that selectively adsorb perfluorocarbons in favor to other less harmful gases have not been reported. Here a series of porous organic cage compounds with alkyl-, fluoroalkyl, and partially fluorinated alkyl groups are presented. Their isomorphic crystalline states allowed us to study the property-relationship of the degree of fluorination of the alkyl chains on gas sorption properties for PFCs and their selective uptakes in comparison to other, non-fluorinated gases. By this approach, one compound was identified, having superior selectivities of PFCs vs N2 or CO2 under ambient conditions.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Anthropogenic greenhouse gases contribute to global warming. Among those gases, perfluorocarbons (PFCs) are thousands to tens of thousands times more harmful to the environment than comparable amounts of carbon dioxide. Till date, materials that selectively adsorb perfluorocarbons in favor to other less harmful gases have not been reported. Here a series of porous organic cage compounds with alkyl-, fluoroalkyl, and partially fluorinated alkyl groups are presented. Their isomorphic crystalline states allowed us to study the property-relationship of the degree of fluorination of the alkyl chains on gas sorption properties for PFCs and their selective uptakes in comparison to other, non-fluorinated gases. By this approach, one compound was identified, having superior selectivities of PFCs vs N2 or CO2 under ambient conditions.","Subject":"Chemistry","Keywords":"climate change; gas adsorption; global warming; perfluorocarbons; porous materials; porous organic cages"},{"pid":"doi:10.11588/data/OH6757","Title":"Desymmetrization Strategy to Achieve Triptycene-Based 3,6-Dimethoxytriphenylenes via Oxidative Cyclodehydrogenation [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Desymmetrization Strategy to Achieve Triptycene-Based 3,6-Dimethoxytriphenylenes via Oxidative Cyclodehydrogenation [Data]' Description:'To achieve a highly symmetric triptycene based hexamethoxytriphenylene in high yield of 97 %, a less symmetric triptycene (C3v) is necessary as precursor for cyclodehydrogenative Scholl-type oxidation, by taking into account the regioselectivity of the C-C bond formation controlled by attached methoxy groups. In addition, Scholl-type oxidations and photochemical reactions are compared.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Aromatic compounds; Cyclodehydrogenation; Synthesis; Triphenylene; Triptycene+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Desymmetrization Strategy to Achieve Triptycene-Based 3,6-Dimethoxytriphenylenes via Oxidative Cyclodehydrogenation [Data]' Description:'To achieve a highly symmetric triptycene based hexamethoxytriphenylene in high yield of 97 %, a less symmetric triptycene (C3v) is necessary as precursor for cyclodehydrogenative Scholl-type oxidation, by taking into account the regioselectivity of the C-C bond formation controlled by attached methoxy groups. In addition, Scholl-type oxidations and photochemical reactions are compared.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"To achieve a highly symmetric triptycene based hexamethoxytriphenylene in high yield of 97 %, a less symmetric triptycene (C3v) is necessary as precursor for cyclodehydrogenative Scholl-type oxidation, by taking into account the regioselectivity of the C-C bond formation controlled by attached methoxy groups. In addition, Scholl-type oxidations and photochemical reactions are compared.","Subject":"Chemistry","Keywords":"Aromatic compounds; Cyclodehydrogenation; Synthesis; Triphenylene; Triptycene"},{"pid":"doi:10.11588/data/PZGMSS","Title":"Cyclopentannulated Dihydrotetraazapentacenes [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cyclopentannulated Dihydrotetraazapentacenes [Data]' Description:'The transition-metal catalyzed cyclization of bissilylethynylated N,N’-dihydro¬tetra¬aza¬pentacene (TIPS-TAP-H2) into bissilylated cyclo¬penta¬[fg,qr]¬pentacenes is reported. Depending on the catalyst either none, one or two silyl groups migrate and change their positions in the formed five-membered rings. The optoelectronic properties are quite similar, whereas the packing motifs differ dramatically. Control experiments and quantum chemical calculations were performed to investigate the mechanism of the reaction and the selectivity of the silyl shift.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aromaticity; azaarenes; catalysis; cycloisomerization; cyclopentannulation; silyl shift+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cyclopentannulated Dihydrotetraazapentacenes [Data]' Description:'The transition-metal catalyzed cyclization of bissilylethynylated N,N’-dihydro¬tetra¬aza¬pentacene (TIPS-TAP-H2) into bissilylated cyclo¬penta¬[fg,qr]¬pentacenes is reported. Depending on the catalyst either none, one or two silyl groups migrate and change their positions in the formed five-membered rings. The optoelectronic properties are quite similar, whereas the packing motifs differ dramatically. Control experiments and quantum chemical calculations were performed to investigate the mechanism of the reaction and the selectivity of the silyl shift.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The transition-metal catalyzed cyclization of bissilylethynylated N,N’-dihydro¬tetra¬aza¬pentacene (TIPS-TAP-H2) into bissilylated cyclo¬penta¬[fg,qr]¬pentacenes is reported. Depending on the catalyst either none, one or two silyl groups migrate and change their positions in the formed five-membered rings. The optoelectronic properties are quite similar, whereas the packing motifs differ dramatically. Control experiments and quantum chemical calculations were performed to investigate the mechanism of the reaction and the selectivity of the silyl shift.","Subject":"Chemistry","Keywords":"aromaticity; azaarenes; catalysis; cycloisomerization; cyclopentannulation; silyl shift"},{"pid":"doi:10.11588/data/RG2NHY","Title":"Late-Stage Functionalisation of Peptides on the Solid Phase by an Iodination-Substitution Approach [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Late-Stage Functionalisation of Peptides on the Solid Phase by an Iodination-Substitution Approach [Research Data]' Description:'The functionalisation of peptides at a late synthesis stage holds great potential, for example, for the synthesis of peptide pharmaceuticals, fluorescent biosensors or peptidomimetics. Here we describe an on-resin iodination-substitution reaction sequence on homoserine that is also suitable for peptide modification in a combinatorial format. The reaction sequence is accessible to a wide range of sulfur nucleophiles with various functional groups including boronic acids, hydroxy groups or aromatic amines. In this way, methionine-like thioethers or thioesters and thiosulfonates are accessible. Next to sulfur nucleophiles, selenols, pyridines and carboxylic acids were successfully used as nucleophiles, whereas phenols did not react. The late-stage iodination-substitution approach is not only applicable to short peptides but also to the more complex 34-amino-acid WW domains. We applied this strategy to introduce 7-mercapto-4-methylcoumarin into a switchable ZnII responsive WW domain to design an iFRET-based ZnII sensor.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {biosensors; late-stage functionalization; peptides; solid-phase synthese; WW domains+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Late-Stage Functionalisation of Peptides on the Solid Phase by an Iodination-Substitution Approach [Research Data]' Description:'The functionalisation of peptides at a late synthesis stage holds great potential, for example, for the synthesis of peptide pharmaceuticals, fluorescent biosensors or peptidomimetics. Here we describe an on-resin iodination-substitution reaction sequence on homoserine that is also suitable for peptide modification in a combinatorial format. The reaction sequence is accessible to a wide range of sulfur nucleophiles with various functional groups including boronic acids, hydroxy groups or aromatic amines. In this way, methionine-like thioethers or thioesters and thiosulfonates are accessible. Next to sulfur nucleophiles, selenols, pyridines and carboxylic acids were successfully used as nucleophiles, whereas phenols did not react. The late-stage iodination-substitution approach is not only applicable to short peptides but also to the more complex 34-amino-acid WW domains. We applied this strategy to introduce 7-mercapto-4-methylcoumarin into a switchable ZnII responsive WW domain to design an iFRET-based ZnII sensor.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The functionalisation of peptides at a late synthesis stage holds great potential, for example, for the synthesis of peptide pharmaceuticals, fluorescent biosensors or peptidomimetics. Here we describe an on-resin iodination-substitution reaction sequence on homoserine that is also suitable for peptide modification in a combinatorial format. The reaction sequence is accessible to a wide range of sulfur nucleophiles with various functional groups including boronic acids, hydroxy groups or aromatic amines. In this way, methionine-like thioethers or thioesters and thiosulfonates are accessible. Next to sulfur nucleophiles, selenols, pyridines and carboxylic acids were successfully used as nucleophiles, whereas phenols did not react. The late-stage iodination-substitution approach is not only applicable to short peptides but also to the more complex 34-amino-acid WW domains. We applied this strategy to introduce 7-mercapto-4-methylcoumarin into a switchable ZnII responsive WW domain to design an iFRET-based ZnII sensor.","Subject":"Chemistry","Keywords":"biosensors; late-stage functionalization; peptides; solid-phase synthese; WW domains"},{"pid":"doi:10.11588/data/RI2KLV","Title":"Research Data supporting the paper: Synthetic Control over the Binding Configuration of Luminescent sp³-Defects in Single-Walled Carbon Nanotubes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Research Data supporting the paper: Synthetic Control over the Binding Configuration of Luminescent sp³-Defects in Single-Walled Carbon Nanotubes' Description:'Underlying data for all figures in the paper 'Synthetic Control over the Binding Configuration of Luminescent sp3-Defects in Single-Walled Carbon Nanotubes' , Nat. Commun. 2021, 12, 2119.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {carbon nanotubes; luminescent defects; single-photon emission+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Research Data supporting the paper: Synthetic Control over the Binding Configuration of Luminescent sp³-Defects in Single-Walled Carbon Nanotubes' Description:'Underlying data for all figures in the paper 'Synthetic Control over the Binding Configuration of Luminescent sp3-Defects in Single-Walled Carbon Nanotubes' , Nat. Commun. 2021, 12, 2119.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Underlying data for all figures in the paper 'Synthetic Control over the Binding Configuration of Luminescent sp3-Defects in Single-Walled Carbon Nanotubes' , Nat. Commun. 2021, 12, 2119.","Subject":"Chemistry","Keywords":"carbon nanotubes; luminescent defects; single-photon emission"},{"pid":"doi:10.11588/data/RYUGT2","Title":"Contorted Heteroannulated Tetraareno[a,d,j,m]coronenes [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Contorted Heteroannulated Tetraareno[a,d,j,m]coronenes [Data]' Description:'Cata-condensed heteroannulated tetraarenocoronenes with C2h symmetry have been obtained from three doubly brominated diarenoperylenes. X-ray diffraction showed that the coronenes mostly adopt S-shaped contorted π-planes. The large variety of fused rings in the coronenes′ core allows good control of their photophysical properties and thus their potential use in organic electronics applications.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {contorted PAHs; coronene; cross-coupling; photocyclization; polycyclic aromatic hydrocarbons+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Contorted Heteroannulated Tetraareno[a,d,j,m]coronenes [Data]' Description:'Cata-condensed heteroannulated tetraarenocoronenes with C2h symmetry have been obtained from three doubly brominated diarenoperylenes. X-ray diffraction showed that the coronenes mostly adopt S-shaped contorted π-planes. The large variety of fused rings in the coronenes′ core allows good control of their photophysical properties and thus their potential use in organic electronics applications.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Cata-condensed heteroannulated tetraarenocoronenes with C2h symmetry have been obtained from three doubly brominated diarenoperylenes. X-ray diffraction showed that the coronenes mostly adopt S-shaped contorted π-planes. The large variety of fused rings in the coronenes′ core allows good control of their photophysical properties and thus their potential use in organic electronics applications.","Subject":"Chemistry","Keywords":"contorted PAHs; coronene; cross-coupling; photocyclization; polycyclic aromatic hydrocarbons"},{"pid":"doi:10.11588/data/SGN2CN","Title":"Identification of novel functional mini-receptors by combinatorial screening of split-WW domains [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Identification of novel functional mini-receptors by combinatorial screening of split-WW domains [Research Data]' Description:'β-Sheet motifs such as the WW domain are increasingly being explored as building blocks for synthetic biological applications. Since the sequence-structure relationships of β-sheet motifs are generally complex compared to the well-studied α-helical coiled coil (CC), other approaches such as combinatorial screening should be included to vary the function of the peptide. In this study, we present a combinatorial approach to identify novel functional mini-proteins based on the WW-domain scaffold, which takes advantage of the successful reconstitution of the fragmented WW domain of hPin1 (hPin1WW) by CC association. Fragmentation of hPin1WW was performed in both loop 1 (CC-hPin1WW-L1) and loop 2 (CC-hPin1WW-L2), and the respective fragments were linked to the strands of an antiparallel heterodimeric CC. Structural analysis by CD and NMR spectroscopy revealed structural reconstitution of the WW-domain scaffold only in CC-hPin1WW-L1, but not in CC-hPin1WW-L2. Furthermore, by using 1H–15N HSQC NMR, fluorescence and CD spectroscopy, we demonstrated that binding properties of fragmented hPin1WW in CC-hPin1WW-L1 were fully restored by CC association. To demonstrate the power of this approach as a combinatorial screening platform, we synthesized a four-by-six library of N- and C-terminal hPin1WW-CC peptide fragments that was screened for a WW domain that preferentially binds to ATP over cAMP, phophocholine, or IP6. Using this screening platform, we identified one WW domain, which specifically binds ATP, and a phosphorylcholine-specific WW-based mini-receptor, both having binding dissociation constants in the lower micromolar range.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {coiled coil; miniprotein; peptide engineering; WW domain+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Identification of novel functional mini-receptors by combinatorial screening of split-WW domains [Research Data]' Description:'β-Sheet motifs such as the WW domain are increasingly being explored as building blocks for synthetic biological applications. Since the sequence-structure relationships of β-sheet motifs are generally complex compared to the well-studied α-helical coiled coil (CC), other approaches such as combinatorial screening should be included to vary the function of the peptide. In this study, we present a combinatorial approach to identify novel functional mini-proteins based on the WW-domain scaffold, which takes advantage of the successful reconstitution of the fragmented WW domain of hPin1 (hPin1WW) by CC association. Fragmentation of hPin1WW was performed in both loop 1 (CC-hPin1WW-L1) and loop 2 (CC-hPin1WW-L2), and the respective fragments were linked to the strands of an antiparallel heterodimeric CC. Structural analysis by CD and NMR spectroscopy revealed structural reconstitution of the WW-domain scaffold only in CC-hPin1WW-L1, but not in CC-hPin1WW-L2. Furthermore, by using 1H–15N HSQC NMR, fluorescence and CD spectroscopy, we demonstrated that binding properties of fragmented hPin1WW in CC-hPin1WW-L1 were fully restored by CC association. To demonstrate the power of this approach as a combinatorial screening platform, we synthesized a four-by-six library of N- and C-terminal hPin1WW-CC peptide fragments that was screened for a WW domain that preferentially binds to ATP over cAMP, phophocholine, or IP6. Using this screening platform, we identified one WW domain, which specifically binds ATP, and a phosphorylcholine-specific WW-based mini-receptor, both having binding dissociation constants in the lower micromolar range.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"β-Sheet motifs such as the WW domain are increasingly being explored as building blocks for synthetic biological applications. Since the sequence-structure relationships of β-sheet motifs are generally complex compared to the well-studied α-helical coiled coil (CC), other approaches such as combinatorial screening should be included to vary the function of the peptide. In this study, we present a combinatorial approach to identify novel functional mini-proteins based on the WW-domain scaffold, which takes advantage of the successful reconstitution of the fragmented WW domain of hPin1 (hPin1WW) by CC association. Fragmentation of hPin1WW was performed in both loop 1 (CC-hPin1WW-L1) and loop 2 (CC-hPin1WW-L2), and the respective fragments were linked to the strands of an antiparallel heterodimeric CC. Structural analysis by CD and NMR spectroscopy revealed structural reconstitution of the WW-domain scaffold only in CC-hPin1WW-L1, but not in CC-hPin1WW-L2. Furthermore, by using 1H–15N HSQC NMR, fluorescence and CD spectroscopy, we demonstrated that binding properties of fragmented hPin1WW in CC-hPin1WW-L1 were fully restored by CC association. To demonstrate the power of this approach as a combinatorial screening platform, we synthesized a four-by-six library of N- and C-terminal hPin1WW-CC peptide fragments that was screened for a WW domain that preferentially binds to ATP over cAMP, phophocholine, or IP6. Using this screening platform, we identified one WW domain, which specifically binds ATP, and a phosphorylcholine-specific WW-based mini-receptor, both having binding dissociation constants in the lower micromolar range.","Subject":"Chemistry","Keywords":"coiled coil; miniprotein; peptide engineering; WW domain"},{"pid":"doi:10.11588/data/SHVINO","Title":"Chirale polyzyklische aromatische Kohlenwasserstoffe mit Affensattel-Topologie [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Chirale polyzyklische aromatische Kohlenwasserstoffe mit Affensattel-Topologie [Data]' Description:'In this thesis, the first chiral polycyclic aromatic hydrocarbon (PAH) with a monkey saddle topology is presented. Starting from a truxene building block that is readily preparatively accessible, the monkey saddle PAH could easily be obtained in three steps. By using additional functionalized precursors, a series of twelve derivatives has been obtained and characterized. Solid-state structures confirmed the three-dimensional shape of the PAHs unambiguously, which is induced by the five-, six- and eight-membered rings. This makes the PAH a section of a Mackay-type crystal. Due to the curvature, the target compounds exhibit triple axial chirality. Separation of the enantiomers was possible and characterization of these via CD spectroscopy and the investigation of racemization revealed half-lives ranging from a few milliseconds to several days. In addition, first attempts to synthesize Mackay-like cage compounds have been conducted and provided important insights for future projects. A deeper insight into the properties of the curved PAHs was achieved by the isosteric exchange of three CH groups with nitrogen. Its effect could be studied in detail and led to a stabilization of the enantiomers towards a half-life of two months. Furthermore, a rearrangement was developed that lead to a chiral molecular basket whose enantiomers do not longer racemize at room temperature. The experimental results were supported and extended by a large number of quantumchemical calculations. A second truxene precursor formed the basis on which the preparation of a system with three azulene units succeeded. Synthetic difficulties on the way to the target compound could be circumvented and thus a keto-functionalized PAH has been obtained, which forms two separable diastereomers. The azulene PAH represents a model of a graphene defect due to the five- and seven-membered rings and was studied in terms of its photophysical and electrochemical properties as well as compared with isomeric compounds. Confirmation of the structures of all three target compounds by X-ray structural analysis was also successful. First experiments on post-functionalization were performed so that future projects can build on them.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {chirality; monkey saddle; negative curvature; N-heteroarene; polycyclic aromatic hydrocarbons+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Chirale polyzyklische aromatische Kohlenwasserstoffe mit Affensattel-Topologie [Data]' Description:'In this thesis, the first chiral polycyclic aromatic hydrocarbon (PAH) with a monkey saddle topology is presented. Starting from a truxene building block that is readily preparatively accessible, the monkey saddle PAH could easily be obtained in three steps. By using additional functionalized precursors, a series of twelve derivatives has been obtained and characterized. Solid-state structures confirmed the three-dimensional shape of the PAHs unambiguously, which is induced by the five-, six- and eight-membered rings. This makes the PAH a section of a Mackay-type crystal. Due to the curvature, the target compounds exhibit triple axial chirality. Separation of the enantiomers was possible and characterization of these via CD spectroscopy and the investigation of racemization revealed half-lives ranging from a few milliseconds to several days. In addition, first attempts to synthesize Mackay-like cage compounds have been conducted and provided important insights for future projects. A deeper insight into the properties of the curved PAHs was achieved by the isosteric exchange of three CH groups with nitrogen. Its effect could be studied in detail and led to a stabilization of the enantiomers towards a half-life of two months. Furthermore, a rearrangement was developed that lead to a chiral molecular basket whose enantiomers do not longer racemize at room temperature. The experimental results were supported and extended by a large number of quantumchemical calculations. A second truxene precursor formed the basis on which the preparation of a system with three azulene units succeeded. Synthetic difficulties on the way to the target compound could be circumvented and thus a keto-functionalized PAH has been obtained, which forms two separable diastereomers. The azulene PAH represents a model of a graphene defect due to the five- and seven-membered rings and was studied in terms of its photophysical and electrochemical properties as well as compared with isomeric compounds. Confirmation of the structures of all three target compounds by X-ray structural analysis was also successful. First experiments on post-functionalization were performed so that future projects can build on them.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In this thesis, the first chiral polycyclic aromatic hydrocarbon (PAH) with a monkey saddle topology is presented. Starting from a truxene building block that is readily preparatively accessible, the monkey saddle PAH could easily be obtained in three steps. By using additional functionalized precursors, a series of twelve derivatives has been obtained and characterized. Solid-state structures confirmed the three-dimensional shape of the PAHs unambiguously, which is induced by the five-, six- and eight-membered rings. This makes the PAH a section of a Mackay-type crystal. Due to the curvature, the target compounds exhibit triple axial chirality. Separation of the enantiomers was possible and characterization of these via CD spectroscopy and the investigation of racemization revealed half-lives ranging from a few milliseconds to several days. In addition, first attempts to synthesize Mackay-like cage compounds have been conducted and provided important insights for future projects. A deeper insight into the properties of the curved PAHs was achieved by the isosteric exchange of three CH groups with nitrogen. Its effect could be studied in detail and led to a stabilization of the enantiomers towards a half-life of two months. Furthermore, a rearrangement was developed that lead to a chiral molecular basket whose enantiomers do not longer racemize at room temperature. The experimental results were supported and extended by a large number of quantumchemical calculations. A second truxene precursor formed the basis on which the preparation of a system with three azulene units succeeded. Synthetic difficulties on the way to the target compound could be circumvented and thus a keto-functionalized PAH has been obtained, which forms two separable diastereomers. The azulene PAH represents a model of a graphene defect due to the five- and seven-membered rings and was studied in terms of its photophysical and electrochemical properties as well as compared with isomeric compounds. Confirmation of the structures of all three target compounds by X-ray structural analysis was also successful. First experiments on post-functionalization were performed so that future projects can build on them.","Subject":"Chemistry","Keywords":"chirality; monkey saddle; negative curvature; N-heteroarene; polycyclic aromatic hydrocarbons"},{"pid":"doi:10.11588/data/TGDD4Y","Title":"Predicting reaction barriers of hydrogen atom transfer in proteins [data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Predicting reaction barriers of hydrogen atom transfer in proteins [data]' Description:'Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on them using simulations. Here, we present a machine learning model based on graph neural networks for the prediction of activation energies of HAT reactions in proteins. It is trained on more than 17,000 energy barriers calculated using hybrid density functional theory. We built and evaluated the model in the context of HAT in collagen, but the same workflow can easily be applied to HAT reactions in other biological or synthetic polymers. We obtain for relevant reactions (small reaction distances) a model with good predictive power (R2 assistant Answer : {Activation Energy; Collagen; Computational Chemistry and Modeling; Hydrogen Atom Transfer; Machine Learning; Radical+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Predicting reaction barriers of hydrogen atom transfer in proteins [data]' Description:'Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on them using simulations. Here, we present a machine learning model based on graph neural networks for the prediction of activation energies of HAT reactions in proteins. It is trained on more than 17,000 energy barriers calculated using hybrid density functional theory. We built and evaluated the model in the context of HAT in collagen, but the same workflow can easily be applied to HAT reactions in other biological or synthetic polymers. We obtain for relevant reactions (small reaction distances) a model with good predictive power (R2 <0.9 and mean absolute error of <3 kcal/mol). As the inference speed is high, this model enables evaluations of many chemical situations in rapid succession. When combined with molecular dynamics in a kinetic Monte-Carlo scheme, the model paves the way toward reactive simulations.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on them using simulations. Here, we present a machine learning model based on graph neural networks for the prediction of activation energies of HAT reactions in proteins. It is trained on more than 17,000 energy barriers calculated using hybrid density functional theory. We built and evaluated the model in the context of HAT in collagen, but the same workflow can easily be applied to HAT reactions in other biological or synthetic polymers. We obtain for relevant reactions (small reaction distances) a model with good predictive power (R2 <0.9 and mean absolute error of <3 kcal/mol). As the inference speed is high, this model enables evaluations of many chemical situations in rapid succession. When combined with molecular dynamics in a kinetic Monte-Carlo scheme, the model paves the way toward reactive simulations.","Subject":"Chemistry","Keywords":"Activation Energy; Collagen; Computational Chemistry and Modeling; Hydrogen Atom Transfer; Machine Learning; Radical"},{"pid":"doi:10.11588/data/ZJAT9A","Title":"Electron-beam lithography of cinnamate polythiophene films: conductive nanorods for electronic applications [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Electron-beam lithography of cinnamate polythiophene films: conductive nanorods for electronic applications [Data]' Description:'Research Data associated with the related publication. Synthesis and characterization of cinnamate substituted polythiophene (P3ZT). Cross linkage via UV and electron beam radiation; network formation in thin films controlled by infrared spectroscopy and film retention experiments. Patterning via EBL produces nanorods and contact pads/fingers for nanosized transistor employing doped P3ZT as electrodes.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cinnamate; crosslinking; electron beam; polythiophene+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Electron-beam lithography of cinnamate polythiophene films: conductive nanorods for electronic applications [Data]' Description:'Research Data associated with the related publication. Synthesis and characterization of cinnamate substituted polythiophene (P3ZT). Cross linkage via UV and electron beam radiation; network formation in thin films controlled by infrared spectroscopy and film retention experiments. Patterning via EBL produces nanorods and contact pads/fingers for nanosized transistor employing doped P3ZT as electrodes.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data associated with the related publication. Synthesis and characterization of cinnamate substituted polythiophene (P3ZT). Cross linkage via UV and electron beam radiation; network formation in thin films controlled by infrared spectroscopy and film retention experiments. Patterning via EBL produces nanorods and contact pads/fingers for nanosized transistor employing doped P3ZT as electrodes.","Subject":"Chemistry","Keywords":"cinnamate; crosslinking; electron beam; polythiophene"},{"pid":"doi:10.11588/data/ZW8JL9","Title":"Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]' Description:'Research Data associated with the related publication.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {analytical TEM; EELS; morphology characterization; non fullerene acceptors; organic photovoltaic+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]' Description:'Research Data associated with the related publication.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Research Data associated with the related publication.","Subject":"Chemistry","Keywords":"analytical TEM; EELS; morphology characterization; non fullerene acceptors; organic photovoltaic"},{"pid":"doi:10.15139/S3/KKQ9NE","Title":"Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke' Description:'This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Air Pollution; Biomass burns; Mixtures; Mixtures Toxicology; Pulmonary biology; Toxicity; Wildfire+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset for Mixtures Modeling Identifies Chemical Inducers versus Repressors of Toxicity associated with Wildfire Smoke' Description:'This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.' Subject:'Chemistry; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset includes chemistry measures across 12 biomass burn scenarios (serving as lab-based simulations of potential environmental exposures) and mouse cardiopulmonary toxicology measures collected from mice exposed to the same 12 biomass burn scenarios. Files are organized into four separate .csv files, containing either the measured values or the associated metadata, with descriptive labels included throughout.","Subject":"Chemistry","Keywords":"Air Pollution; Biomass burns; Mixtures; Mixtures Toxicology; Pulmonary biology; Toxicity; Wildfire"},{"pid":"doi:10.18710/0EM0EL","Title":"GGA-PBE and hybrid-PBE0 energies and dipole moments with MRChem, FHI-aims, NWChem and ELK","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GGA-PBE and hybrid-PBE0 energies and dipole moments with MRChem, FHI-aims, NWChem and ELK' Description:'Highly accurate Density Functional Theory (GGA-PBE and hybrid-PBE0) total energies, atomization energies and dipole moments computed with four different electronic structure codes: MRChem using multiwavelet basis sets; FHI-aims using numeric atom-centered orbitals; NWChem using Gaussian-type atomic orbitals; ELK using full-potential augmented plane wave basis sets.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Accurate energies; APW+lo; Density Functional Theory; Gaussian-type orbitals; Multiwavelets; Numeric atom-centered orbitals+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GGA-PBE and hybrid-PBE0 energies and dipole moments with MRChem, FHI-aims, NWChem and ELK' Description:'Highly accurate Density Functional Theory (GGA-PBE and hybrid-PBE0) total energies, atomization energies and dipole moments computed with four different electronic structure codes: MRChem using multiwavelet basis sets; FHI-aims using numeric atom-centered orbitals; NWChem using Gaussian-type atomic orbitals; ELK using full-potential augmented plane wave basis sets.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Highly accurate Density Functional Theory (GGA-PBE and hybrid-PBE0) total energies, atomization energies and dipole moments computed with four different electronic structure codes: MRChem using multiwavelet basis sets; FHI-aims using numeric atom-centered orbitals; NWChem using Gaussian-type atomic orbitals; ELK using full-potential augmented plane wave basis sets.","Subject":"Chemistry","Keywords":"Accurate energies; APW+lo; Density Functional Theory; Gaussian-type orbitals; Multiwavelets; Numeric atom-centered orbitals"},{"pid":"doi:10.18710/2DQK6Z","Title":"Replication Data for: Benchmarking density functional methods for harmonic vibrational frequencies. IN REVIEW","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Benchmarking density functional methods for harmonic vibrational frequencies. IN REVIEW' Description:'The files contains data for reproducing all the results in the article 'Benchmarking density functional methods for harmonic vibrational frequencies' (IN REVIEW). The file frequency_data_for_statistical_analysis.xlsx is an excel file containing 11 differently named worksheets. Each worksheet contains the name of the XC functionals used. All the quantities are calculated using the standard mathematical formula of EXCEL. The distribution_of_signed_error_plot.pdf is a pdf file containing the distribution of signed error obtained for each molecule using 17 different XC functionals. The distribution plots are obtained using the distribution formula given in the upcoming article. All the plots have been created using GNUPLOT software. The text files are tab delimited text files obtained from the excel worksheets.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Benchmarking DFT functionals; Computational Chemistry; Density functional theory; Harmonic vibrational frequency; Quantum Chemistry+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Benchmarking density functional methods for harmonic vibrational frequencies. IN REVIEW' Description:'The files contains data for reproducing all the results in the article 'Benchmarking density functional methods for harmonic vibrational frequencies' (IN REVIEW). The file frequency_data_for_statistical_analysis.xlsx is an excel file containing 11 differently named worksheets. Each worksheet contains the name of the XC functionals used. All the quantities are calculated using the standard mathematical formula of EXCEL. The distribution_of_signed_error_plot.pdf is a pdf file containing the distribution of signed error obtained for each molecule using 17 different XC functionals. The distribution plots are obtained using the distribution formula given in the upcoming article. All the plots have been created using GNUPLOT software. The text files are tab delimited text files obtained from the excel worksheets.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The files contains data for reproducing all the results in the article 'Benchmarking density functional methods for harmonic vibrational frequencies' (IN REVIEW). The file frequency_data_for_statistical_analysis.xlsx is an excel file containing 11 differently named worksheets. Each worksheet contains the name of the XC functionals used. All the quantities are calculated using the standard mathematical formula of EXCEL. The distribution_of_signed_error_plot.pdf is a pdf file containing the distribution of signed error obtained for each molecule using 17 different XC functionals. The distribution plots are obtained using the distribution formula given in the upcoming article. All the plots have been created using GNUPLOT software. The text files are tab delimited text files obtained from the excel worksheets.","Subject":"Chemistry","Keywords":"Benchmarking DFT functionals; Computational Chemistry; Density functional theory; Harmonic vibrational frequency; Quantum Chemistry"},{"pid":"doi:10.18710/2FWECY","Title":"The effect of midbond functions on interaction energies computed using MP2 and CCSD(T)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The effect of midbond functions on interaction energies computed using MP2 and CCSD(T)' Description:'This data set contains contains raw data (monomer and dimer energy contributions for the A24 data set; interaction energies for the A24 and S66 data sets; number of basis functions for 53 complexes of the S66 data set) as well as geometries of A24 and S66 complexes including midbond centers (denoted X). The MP2 and CCSD(T) calculations for the A24 and S66 data sets were utilized to explore how midbond functions can be used to generate cost effective counterpoise corrected supramolecular interaction energies of noncovalent complexes. The calculations performed using the A24 data set showed that the primary role of midbond functions is not to approach the complete basis set limit, but rather to ensure a balanced description of the molecules and the interaction region (unrelated to the basis set superposition error). For S66 the need for increasing the number of midbond centers was investigated. Addition of a second midbond center leads to an increase in accuracy, however, the effect is secondary to changing the atom centered basis set. Further, the comparison of calculations using the 3s3p2d1f1g midbond set with using aug-cc-pVDZ and aug-cc-pVTZ as midbond sets showed that the midbond set should not only contain diffuse functions, but also high angular momentum functions in order to be effective. The results for placing midbond centers using two different approaches show that interaction energies are not particularly sensitive to placement as long as the placement is reasonable.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {A24; interaction energies; midbond functions; S66+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The effect of midbond functions on interaction energies computed using MP2 and CCSD(T)' Description:'This data set contains contains raw data (monomer and dimer energy contributions for the A24 data set; interaction energies for the A24 and S66 data sets; number of basis functions for 53 complexes of the S66 data set) as well as geometries of A24 and S66 complexes including midbond centers (denoted X). The MP2 and CCSD(T) calculations for the A24 and S66 data sets were utilized to explore how midbond functions can be used to generate cost effective counterpoise corrected supramolecular interaction energies of noncovalent complexes. The calculations performed using the A24 data set showed that the primary role of midbond functions is not to approach the complete basis set limit, but rather to ensure a balanced description of the molecules and the interaction region (unrelated to the basis set superposition error). For S66 the need for increasing the number of midbond centers was investigated. Addition of a second midbond center leads to an increase in accuracy, however, the effect is secondary to changing the atom centered basis set. Further, the comparison of calculations using the 3s3p2d1f1g midbond set with using aug-cc-pVDZ and aug-cc-pVTZ as midbond sets showed that the midbond set should not only contain diffuse functions, but also high angular momentum functions in order to be effective. The results for placing midbond centers using two different approaches show that interaction energies are not particularly sensitive to placement as long as the placement is reasonable.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains contains raw data (monomer and dimer energy contributions for the A24 data set; interaction energies for the A24 and S66 data sets; number of basis functions for 53 complexes of the S66 data set) as well as geometries of A24 and S66 complexes including midbond centers (denoted X). The MP2 and CCSD(T) calculations for the A24 and S66 data sets were utilized to explore how midbond functions can be used to generate cost effective counterpoise corrected supramolecular interaction energies of noncovalent complexes. The calculations performed using the A24 data set showed that the primary role of midbond functions is not to approach the complete basis set limit, but rather to ensure a balanced description of the molecules and the interaction region (unrelated to the basis set superposition error). For S66 the need for increasing the number of midbond centers was investigated. Addition of a second midbond center leads to an increase in accuracy, however, the effect is secondary to changing the atom centered basis set. Further, the comparison of calculations using the 3s3p2d1f1g midbond set with using aug-cc-pVDZ and aug-cc-pVTZ as midbond sets showed that the midbond set should not only contain diffuse functions, but also high angular momentum functions in order to be effective. The results for placing midbond centers using two different approaches show that interaction energies are not particularly sensitive to placement as long as the placement is reasonable.","Subject":"Chemistry","Keywords":"A24; interaction energies; midbond functions; S66"},{"pid":"doi:10.18710/4UCFSF","Title":"Replication Data for: Variation in Phenolic Chemistry in Zostera marina Seagrass along Environmental Gradients","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Variation in Phenolic Chemistry in Zostera marina Seagrass along Environmental Gradients' Description:'Abstract: Chemical ecology has been suggested as a less time-consuming and more cost-efficient monitoring tool of seagrass ecosystems than traditional methods. Phenolic chemistry in Zostera marina samples was analyzed against latitude, sea depth, sample position within a seagrass meadow (periphery or center) and wave exposure. Multivariate data analysis showed that rosmarinic acid correlated moderately positively with depth, while the flavonoids had an overall strong negative correlation with increasing depth—possibly reflecting lack of stress-induced conditions with increasing depth, rather than a different response to light conditions. At a molecular level, the flavonoids were separated into two groups; one group is well described by the variables of depth and wave exposure, and the other group that was not well described by these variables—the latter may reflect biosynthetic dependencies or other unrevealed factors. A higher flavonoid/rosmarinic acid ratio was seen in the periphery of a seagrass meadow, while the contrary ratio was seen in the center. This may reflect higher plant stress in the periphery of a meadow, and the flavonoid/rosmarinic acid ratio may provide a possible molecular index of seagrass ecosystem health. Further studies are needed before the full potential of using variation in phenolic chemistry as a seagrass ecosystem monitoring tool is established.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {analytical HPLC; chemical ecology; Flavonoid; marine bioprospecting; marine natural products; phenolic chemistry; Polyphenolic content; quantitative analysis; rosmarinic acid; seagrass monitoring; sulfated flavonoids; UV spectroscopy; Zostera marina+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Variation in Phenolic Chemistry in Zostera marina Seagrass along Environmental Gradients' Description:'Abstract: Chemical ecology has been suggested as a less time-consuming and more cost-efficient monitoring tool of seagrass ecosystems than traditional methods. Phenolic chemistry in Zostera marina samples was analyzed against latitude, sea depth, sample position within a seagrass meadow (periphery or center) and wave exposure. Multivariate data analysis showed that rosmarinic acid correlated moderately positively with depth, while the flavonoids had an overall strong negative correlation with increasing depth—possibly reflecting lack of stress-induced conditions with increasing depth, rather than a different response to light conditions. At a molecular level, the flavonoids were separated into two groups; one group is well described by the variables of depth and wave exposure, and the other group that was not well described by these variables—the latter may reflect biosynthetic dependencies or other unrevealed factors. A higher flavonoid/rosmarinic acid ratio was seen in the periphery of a seagrass meadow, while the contrary ratio was seen in the center. This may reflect higher plant stress in the periphery of a meadow, and the flavonoid/rosmarinic acid ratio may provide a possible molecular index of seagrass ecosystem health. Further studies are needed before the full potential of using variation in phenolic chemistry as a seagrass ecosystem monitoring tool is established.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: Chemical ecology has been suggested as a less time-consuming and more cost-efficient monitoring tool of seagrass ecosystems than traditional methods. Phenolic chemistry in Zostera marina samples was analyzed against latitude, sea depth, sample position within a seagrass meadow (periphery or center) and wave exposure. Multivariate data analysis showed that rosmarinic acid correlated moderately positively with depth, while the flavonoids had an overall strong negative correlation with increasing depth—possibly reflecting lack of stress-induced conditions with increasing depth, rather than a different response to light conditions. At a molecular level, the flavonoids were separated into two groups; one group is well described by the variables of depth and wave exposure, and the other group that was not well described by these variables—the latter may reflect biosynthetic dependencies or other unrevealed factors. A higher flavonoid/rosmarinic acid ratio was seen in the periphery of a seagrass meadow, while the contrary ratio was seen in the center. This may reflect higher plant stress in the periphery of a meadow, and the flavonoid/rosmarinic acid ratio may provide a possible molecular index of seagrass ecosystem health. Further studies are needed before the full potential of using variation in phenolic chemistry as a seagrass ecosystem monitoring tool is established.","Subject":"Chemistry","Keywords":"analytical HPLC; chemical ecology; Flavonoid; marine bioprospecting; marine natural products; phenolic chemistry; Polyphenolic content; quantitative analysis; rosmarinic acid; seagrass monitoring; sulfated flavonoids; UV spectroscopy; Zostera marina"},{"pid":"doi:10.18710/4UCFSF","Title":"Replication Data for: Variation in Phenolic Chemistry in Zostera marina Seagrass along Environmental Gradients","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Variation in Phenolic Chemistry in Zostera marina Seagrass along Environmental Gradients' Description:'This dataset consists of 9 files containing quantitative data (absorbance and concentration) of individual flavonoids and phenolic acids in the seagrass Zostera marina L. collected from various locations along the coast of Norway. The polyphenolic content was determined by the use of analytical HPLC with UV-Vis detection.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {analytical HPLC; chemical ecology; Flavonoid; marine bioprospecting; marine natural products; phenolic chemistry; Polyphenolic content; quantitative analysis; rosmarinic acid; seagrass monitoring; sulfated flavonoids; UV spectroscopy; Zostera marina+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Variation in Phenolic Chemistry in Zostera marina Seagrass along Environmental Gradients' Description:'This dataset consists of 9 files containing quantitative data (absorbance and concentration) of individual flavonoids and phenolic acids in the seagrass Zostera marina L. collected from various locations along the coast of Norway. The polyphenolic content was determined by the use of analytical HPLC with UV-Vis detection.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset consists of 9 files containing quantitative data (absorbance and concentration) of individual flavonoids and phenolic acids in the seagrass Zostera marina L. collected from various locations along the coast of Norway. The polyphenolic content was determined by the use of analytical HPLC with UV-Vis detection.","Subject":"Chemistry","Keywords":"analytical HPLC; chemical ecology; Flavonoid; marine bioprospecting; marine natural products; phenolic chemistry; Polyphenolic content; quantitative analysis; rosmarinic acid; seagrass monitoring; sulfated flavonoids; UV spectroscopy; Zostera marina"},{"pid":"doi:10.18710/5E8VUI","Title":"Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro' Description:'This dataset contains the experimental work associated to the publication 'Following the Fate of Dye-Containing Liposomes In Vitro' Int. J. Mol. Sci. 2020, 21(14), 4847; https://doi.org/10.3390/ijms21144847. The rather limited success of translation from basic research to clinical application has been highlighted as a major issue in the nanomedicine field. To identify the factors influencing the applicability of nanosystems as drug carriers and potential nanomedicine, we focused on following their fate through fluorescence-based assays, namely flow cytometry and imaging. These methods are often used to follow the nanocarrier internalization and targeting; however, the validity of the obtained results strictly depends on how much the nanosystem’s fate can be inferred from the fate of fluorescent dyes. To evaluate the parameters that affect the physicochemical and biological stability of the labeled nanosystems, we studied the versatility of two lipid dyes, TopFluor®-PC and Cy5-DSPE, in conventional liposomes utilizing well-defined in vitro assays. Our results suggest that the dye can affect the major characteristics of the system, such as vesicle size and zeta-potential. However, a nanocarrier can also affect the dye properties. Medium, temperature, time, fluorophore localization and its concentration, as well as their interplay, affect the outcome of tracing experiments. Therefore, an in-depth characterization of the labeled nanosystem should be fundamental to understand the conditions that validate the results within the screening process in optimization of nanocarrier. ' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Fluorescent Dyes; Liposomes; Nanomedicine+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro' Description:'This dataset contains the experimental work associated to the publication 'Following the Fate of Dye-Containing Liposomes In Vitro' Int. J. Mol. Sci. 2020, 21(14), 4847; https://doi.org/10.3390/ijms21144847. The rather limited success of translation from basic research to clinical application has been highlighted as a major issue in the nanomedicine field. To identify the factors influencing the applicability of nanosystems as drug carriers and potential nanomedicine, we focused on following their fate through fluorescence-based assays, namely flow cytometry and imaging. These methods are often used to follow the nanocarrier internalization and targeting; however, the validity of the obtained results strictly depends on how much the nanosystem’s fate can be inferred from the fate of fluorescent dyes. To evaluate the parameters that affect the physicochemical and biological stability of the labeled nanosystems, we studied the versatility of two lipid dyes, TopFluor®-PC and Cy5-DSPE, in conventional liposomes utilizing well-defined in vitro assays. Our results suggest that the dye can affect the major characteristics of the system, such as vesicle size and zeta-potential. However, a nanocarrier can also affect the dye properties. Medium, temperature, time, fluorophore localization and its concentration, as well as their interplay, affect the outcome of tracing experiments. Therefore, an in-depth characterization of the labeled nanosystem should be fundamental to understand the conditions that validate the results within the screening process in optimization of nanocarrier. ' Subject:'Chemistry; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the experimental work associated to the publication 'Following the Fate of Dye-Containing Liposomes In Vitro' Int. J. Mol. Sci. 2020, 21(14), 4847; https://doi.org/10.3390/ijms21144847. The rather limited success of translation from basic research to clinical application has been highlighted as a major issue in the nanomedicine field. To identify the factors influencing the applicability of nanosystems as drug carriers and potential nanomedicine, we focused on following their fate through fluorescence-based assays, namely flow cytometry and imaging. These methods are often used to follow the nanocarrier internalization and targeting; however, the validity of the obtained results strictly depends on how much the nanosystem’s fate can be inferred from the fate of fluorescent dyes. To evaluate the parameters that affect the physicochemical and biological stability of the labeled nanosystems, we studied the versatility of two lipid dyes, TopFluor®-PC and Cy5-DSPE, in conventional liposomes utilizing well-defined in vitro assays. Our results suggest that the dye can affect the major characteristics of the system, such as vesicle size and zeta-potential. However, a nanocarrier can also affect the dye properties. Medium, temperature, time, fluorophore localization and its concentration, as well as their interplay, affect the outcome of tracing experiments. Therefore, an in-depth characterization of the labeled nanosystem should be fundamental to understand the conditions that validate the results within the screening process in optimization of nanocarrier. ","Subject":"Chemistry","Keywords":"Fluorescent Dyes; Liposomes; Nanomedicine"},{"pid":"doi:10.18710/5E8VUI","Title":"Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro' Description:'This dataset is a collection of laboratory experiments for the characterization of the physicochemical properties of fluorescently labeled liposomes, as well as their behavior in biological environment. The experiments include: size stability (NICOMP photon correlation spectroscopy), zeta-potential stability (Zetasizer), fluorescence stability (SPARK spettrofluorimeter), biological effect (NO production on LPS-induced macrophages, cell proliferation on macrophages and keratinocytes), fluorescence tracing (Flow cytometry and imaging).' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Fluorescent Dyes; Liposomes; Nanomedicine+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro' Description:'This dataset is a collection of laboratory experiments for the characterization of the physicochemical properties of fluorescently labeled liposomes, as well as their behavior in biological environment. The experiments include: size stability (NICOMP photon correlation spectroscopy), zeta-potential stability (Zetasizer), fluorescence stability (SPARK spettrofluorimeter), biological effect (NO production on LPS-induced macrophages, cell proliferation on macrophages and keratinocytes), fluorescence tracing (Flow cytometry and imaging).' Subject:'Chemistry; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset is a collection of laboratory experiments for the characterization of the physicochemical properties of fluorescently labeled liposomes, as well as their behavior in biological environment. The experiments include: size stability (NICOMP photon correlation spectroscopy), zeta-potential stability (Zetasizer), fluorescence stability (SPARK spettrofluorimeter), biological effect (NO production on LPS-induced macrophages, cell proliferation on macrophages and keratinocytes), fluorescence tracing (Flow cytometry and imaging).","Subject":"Chemistry","Keywords":"Fluorescent Dyes; Liposomes; Nanomedicine"},{"pid":"doi:10.18710/6Z0VJX","Title":"Replication Data for: 'Lulworthinone: In vitro mode of action investigation of an antibacterial dimeric naphthopyrone isolated from a marine fungus.'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Lulworthinone: In vitro mode of action investigation of an antibacterial dimeric naphthopyrone isolated from a marine fungus.'' Description:'Treatment options for infections caused by antimicrobial-resistant bacteria are rendered ineffective, and drug alternatives are needed - either from new chemical classes or drugs with new modes of action.Historically, natural products have been important contributors to drug discovery. The search for new antimicrobials from marine fungi led to the discovery of the dimeric naphthopyrone lulworthinone produced by an obligate marine fungus in the family Lulworthiaceae (Jenssen et al. ,2021).The observed potent antibacterial activity against Gram positive bacteria, including several clinical methicillin-resistant _Staphylococcus aureus_ (MRSA) isolates, promoted this follow-up mode of action investigation.Lulworthinone treatment induced an upregulation of genes responding to cell envelope stress in Bacillus subtilis. Further in vitro assays, focusing on membrane integrity and membrane potential, indicated that the compound is active on the bacterial membrane without destroying it. This was supported by NMR experiments using artificial lipid bilayers. Fluorescence microscopy revealed that lulworthinone affects cell morphology and interferes with the localization of the cell division protein FtsZ which might lead to impaired cell division. Surface plasmon resonance spectrometry and dynamic light scattering assays showed that this activity is linked with the compound's ability to form colloidal aggregates. Antibacterial agents targeting the bacterial membrane are of special interest since resistance development against such compounds seems harder to achieve and sustain.This dataset is consists of six zip files containing the results from in vivo assays focused on biosensors, membrane integrity, membrane potential, Time-kill curves; pharmacodynamic modelling and microscopy pictures. ' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {antimicrobial agent; B. subtilis; CCCCCC1Cc3c(C(=O)O1)c(O)c2c(O)cc(OS(=O)(=O)O)cc2c3c6c(OC)cc5cc4c(C(=O)O[C@H](CCCCC)[C@H]4O)c(O)c5c6O; CCCCC[C@@H]1Cc3c(C(=O)O1)c(O)c2c(O)cc(O)cc2c3c6c(O)c5c(O)c4C(=O)O[C@H](CCCCC)[C@H](OS(=O)(=O)[O-])c4cc5cc6OC; colloidal aggregate; FtsZ; marine natural product; mode of action; MRSA+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Lulworthinone: In vitro mode of action investigation of an antibacterial dimeric naphthopyrone isolated from a marine fungus.'' Description:'Treatment options for infections caused by antimicrobial-resistant bacteria are rendered ineffective, and drug alternatives are needed - either from new chemical classes or drugs with new modes of action.Historically, natural products have been important contributors to drug discovery. The search for new antimicrobials from marine fungi led to the discovery of the dimeric naphthopyrone lulworthinone produced by an obligate marine fungus in the family Lulworthiaceae (Jenssen et al. ,2021).The observed potent antibacterial activity against Gram positive bacteria, including several clinical methicillin-resistant _Staphylococcus aureus_ (MRSA) isolates, promoted this follow-up mode of action investigation.Lulworthinone treatment induced an upregulation of genes responding to cell envelope stress in Bacillus subtilis. Further in vitro assays, focusing on membrane integrity and membrane potential, indicated that the compound is active on the bacterial membrane without destroying it. This was supported by NMR experiments using artificial lipid bilayers. Fluorescence microscopy revealed that lulworthinone affects cell morphology and interferes with the localization of the cell division protein FtsZ which might lead to impaired cell division. Surface plasmon resonance spectrometry and dynamic light scattering assays showed that this activity is linked with the compound's ability to form colloidal aggregates. Antibacterial agents targeting the bacterial membrane are of special interest since resistance development against such compounds seems harder to achieve and sustain.This dataset is consists of six zip files containing the results from in vivo assays focused on biosensors, membrane integrity, membrane potential, Time-kill curves; pharmacodynamic modelling and microscopy pictures. ' Subject:'Chemistry; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Treatment options for infections caused by antimicrobial-resistant bacteria are rendered ineffective, and drug alternatives are needed - either from new chemical classes or drugs with new modes of action.Historically, natural products have been important contributors to drug discovery. The search for new antimicrobials from marine fungi led to the discovery of the dimeric naphthopyrone lulworthinone produced by an obligate marine fungus in the family Lulworthiaceae (Jenssen et al. ,2021).The observed potent antibacterial activity against Gram positive bacteria, including several clinical methicillin-resistant _Staphylococcus aureus_ (MRSA) isolates, promoted this follow-up mode of action investigation.Lulworthinone treatment induced an upregulation of genes responding to cell envelope stress in Bacillus subtilis. Further in vitro assays, focusing on membrane integrity and membrane potential, indicated that the compound is active on the bacterial membrane without destroying it. This was supported by NMR experiments using artificial lipid bilayers. Fluorescence microscopy revealed that lulworthinone affects cell morphology and interferes with the localization of the cell division protein FtsZ which might lead to impaired cell division. Surface plasmon resonance spectrometry and dynamic light scattering assays showed that this activity is linked with the compound's ability to form colloidal aggregates. Antibacterial agents targeting the bacterial membrane are of special interest since resistance development against such compounds seems harder to achieve and sustain.This dataset is consists of six zip files containing the results from in vivo assays focused on biosensors, membrane integrity, membrane potential, Time-kill curves; pharmacodynamic modelling and microscopy pictures. ","Subject":"Chemistry","Keywords":"antimicrobial agent; B. subtilis; CCCCCC1Cc3c(C(=O)O1)c(O)c2c(O)cc(OS(=O)(=O)O)cc2c3c6c(OC)cc5cc4c(C(=O)O[C@H](CCCCC)[C@H]4O)c(O)c5c6O; CCCCC[C@@H]1Cc3c(C(=O)O1)c(O)c2c(O)cc(O)cc2c3c6c(O)c5c(O)c4C(=O)O[C@H](CCCCC)[C@H](OS(=O)(=O)[O-])c4cc5cc6OC; colloidal aggregate; FtsZ; marine natural product; mode of action; MRSA"},{"pid":"doi:10.18710/ADAC1W","Title":"Erfaringsutveksling rundt undervisning, ved institutt for kjemi","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Erfaringsutveksling rundt undervisning, ved institutt for kjemi' Description:'Resultater fra workshop om undervisning ved institutt for kjemi, UiTWorkshop: 15.01.2019Tema: Utfordringer og mulige løsninger - seminarundervisning.The dataset consists of one PDF document (language: Norwegian) named 'Utfordringer og mulige løsninger – seminarundervisning ved institutt for kjemi (UiT)'. The document contains an overview over challenges and possible solutions related to colloquium teaching that are contributed by teachers at the Department of Chemistry - UiT the Arctic University of Norway.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Colloquium teaching; Erfaringsutveksling; Kjemi; Seminarundervisning; Teaching chemistry+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Erfaringsutveksling rundt undervisning, ved institutt for kjemi' Description:'Resultater fra workshop om undervisning ved institutt for kjemi, UiTWorkshop: 15.01.2019Tema: Utfordringer og mulige løsninger - seminarundervisning.The dataset consists of one PDF document (language: Norwegian) named 'Utfordringer og mulige løsninger – seminarundervisning ved institutt for kjemi (UiT)'. The document contains an overview over challenges and possible solutions related to colloquium teaching that are contributed by teachers at the Department of Chemistry - UiT the Arctic University of Norway.' Subject:'Chemistry; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Resultater fra workshop om undervisning ved institutt for kjemi, UiTWorkshop: 15.01.2019Tema: Utfordringer og mulige løsninger - seminarundervisning.The dataset consists of one PDF document (language: Norwegian) named 'Utfordringer og mulige løsninger – seminarundervisning ved institutt for kjemi (UiT)'. The document contains an overview over challenges and possible solutions related to colloquium teaching that are contributed by teachers at the Department of Chemistry - UiT the Arctic University of Norway.","Subject":"Chemistry","Keywords":"Colloquium teaching; Erfaringsutveksling; Kjemi; Seminarundervisning; Teaching chemistry"},{"pid":"doi:10.18710/C9OZWV","Title":"Replication Data for: Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions' Description:'We present the extension of the quantum/classical polarizable fluctuating charge model to the calculation of single residues of quadratic response functions, as required for the computational modeling of two-photon absorption cross-sections. By virtue of a variational formulation of the quantum/classical polarizable coupling, we are able to exploit an atomic orbital-based quasienergy formalism to derive the additional coupling terms in the response equations. Our formalism can be extended to the calculation of arbitrary order response functions and their residues. The approach has been applied to the challenging problem of one- and two-photon spectra of rhodamine 6G (R6G) in aqueous solution. Solvent effects on one- and two-photon spectra of R6G in aqueous solution have been analyzed by considering three different approaches, from a continuum (QM/PCM) to two QM/MM models (non-polarizable QM/TIP3P and polarizable QM/FQ). Both QM/TIP3P and QM/FQ simulated OPA and TPA spectra show that the inclusion of discrete water solvent molecules is essential to increase the agreement between theory and experiment. QM/FQ has been shown to give the best agreement with experiments.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {quantum chemistry; quantum/classical polarizable models; response theory; two-photon absorption+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions' Description:'We present the extension of the quantum/classical polarizable fluctuating charge model to the calculation of single residues of quadratic response functions, as required for the computational modeling of two-photon absorption cross-sections. By virtue of a variational formulation of the quantum/classical polarizable coupling, we are able to exploit an atomic orbital-based quasienergy formalism to derive the additional coupling terms in the response equations. Our formalism can be extended to the calculation of arbitrary order response functions and their residues. The approach has been applied to the challenging problem of one- and two-photon spectra of rhodamine 6G (R6G) in aqueous solution. Solvent effects on one- and two-photon spectra of R6G in aqueous solution have been analyzed by considering three different approaches, from a continuum (QM/PCM) to two QM/MM models (non-polarizable QM/TIP3P and polarizable QM/FQ). Both QM/TIP3P and QM/FQ simulated OPA and TPA spectra show that the inclusion of discrete water solvent molecules is essential to increase the agreement between theory and experiment. QM/FQ has been shown to give the best agreement with experiments.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We present the extension of the quantum/classical polarizable fluctuating charge model to the calculation of single residues of quadratic response functions, as required for the computational modeling of two-photon absorption cross-sections. By virtue of a variational formulation of the quantum/classical polarizable coupling, we are able to exploit an atomic orbital-based quasienergy formalism to derive the additional coupling terms in the response equations. Our formalism can be extended to the calculation of arbitrary order response functions and their residues. The approach has been applied to the challenging problem of one- and two-photon spectra of rhodamine 6G (R6G) in aqueous solution. Solvent effects on one- and two-photon spectra of R6G in aqueous solution have been analyzed by considering three different approaches, from a continuum (QM/PCM) to two QM/MM models (non-polarizable QM/TIP3P and polarizable QM/FQ). Both QM/TIP3P and QM/FQ simulated OPA and TPA spectra show that the inclusion of discrete water solvent molecules is essential to increase the agreement between theory and experiment. QM/FQ has been shown to give the best agreement with experiments.","Subject":"Chemistry","Keywords":"quantum chemistry; quantum/classical polarizable models; response theory; two-photon absorption"},{"pid":"doi:10.18710/C9OZWV","Title":"Replication Data for: Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions' Description:'This dataset contains raw input and output files for the LSDALTON calculationsreported in 'Fully Polarizable QM/Fluctuating Charge Approach to Two-PhotonAbsorption of Aqueous Solutions'.The version of LSDALTON used for this paper uses three input files:- a .dal file with input directives for the quantum mechanical calculation.- a .mol file with the cartesian coordinates of the target molecule in the focuses model. This file also specifies the Gaussian basis set.- a .pcm file with the input directives for the classical environment.The names of the various output files follow from the names of the input files according to these following scheme:___4_2_10.outthe portion is only present for the calculations with the solvent models.The numeric suffix refers to the parallel set up of the calculations.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {quantum chemistry; quantum/classical polarizable models; response theory; two-photon absorption+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Fully Polarizable QM/Fluctuating Charge Approach to Two-Photon Absorption of Aqueous Solutions' Description:'This dataset contains raw input and output files for the LSDALTON calculationsreported in 'Fully Polarizable QM/Fluctuating Charge Approach to Two-PhotonAbsorption of Aqueous Solutions'.The version of LSDALTON used for this paper uses three input files:- a .dal file with input directives for the quantum mechanical calculation.- a .mol file with the cartesian coordinates of the target molecule in the focuses model. This file also specifies the Gaussian basis set.- a .pcm file with the input directives for the classical environment.The names of the various output files follow from the names of the input files according to these following scheme:___4_2_10.outthe portion is only present for the calculations with the solvent models.The numeric suffix refers to the parallel set up of the calculations.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains raw input and output files for the LSDALTON calculationsreported in 'Fully Polarizable QM/Fluctuating Charge Approach to Two-PhotonAbsorption of Aqueous Solutions'.The version of LSDALTON used for this paper uses three input files:- a .dal file with input directives for the quantum mechanical calculation.- a .mol file with the cartesian coordinates of the target molecule in the focuses model. This file also specifies the Gaussian basis set.- a .pcm file with the input directives for the classical environment.The names of the various output files follow from the names of the input files according to these following scheme:___4_2_10.outthe portion is only present for the calculations with the solvent models.The numeric suffix refers to the parallel set up of the calculations.","Subject":"Chemistry","Keywords":"quantum chemistry; quantum/classical polarizable models; response theory; two-photon absorption"},{"pid":"doi:10.18710/CHYUQX","Title":"Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'' Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Corrosion; Iron; Materials Science; Photocorrosion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'' Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.","Subject":"Chemistry","Keywords":"Corrosion; Iron; Materials Science; Photocorrosion"},{"pid":"doi:10.18710/KLQVOK","Title":"Replication Data for: Static polarizabilities at the basis set limit: A benchmark of 124 species","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Static polarizabilities at the basis set limit: A benchmark of 124 species' Description:'IntroductionThis Dataverse entry contains replication data for our journal article “Static polarizabilities at the basis set limit:A benchmark of 124 species” published in Journal of Chemical Theory and Computation. It contains highly precise static polarizabilities computed in multiwavelet basis in combination with density functional theory (DFT, PBE functional). In addition, the d/Preliminaryata set contains analysis tools (Jupyter Notebooks with Python3 code) for generating the figures in the journal article.How to useBecause our multiwavelet data is guaranteed to be at the complete basis set limit (to within the specified limit), it is suitable as a benchmark reference in studies of static polarizabilities where the basis set convergence is important. With multiwavelets we don't have to assume that the computed property is at the basis set limit, as is the case with Gaussian type orbital (GTO) basis sets, and it is therefore possible to confirm whether the property of interest computed basis is sufficiently converged with respect to the complete basis set limit. Our benchmark reference can also be used in the development of new methodology that requires accurate training data.Running the Jupyter NotebooksThe Anaconda Python distribution is usually recommended for obtaining Jupyter Notebook. It can be downloaded from here: https://www.anaconda.com/distribution/The simplest way to run the notebooks is to download all files in this DataverseNO dataset. That will preserve the directory structure, which is absolutely necessary to avoid errors. Then start your Jupyter Notebook session, navigate to the data set directory, and open the desired notebook.Journal articleBrakestad et al. 'Static polarizabilities at the basis set limit: A benchmark of 124 species'. J. Chem. Theory Comput. (2020)Abstract from journal articleBenchmarking molecular properties with Gaussian-type orbital (GTO) basis sets can be challenging, because one has to assume that the computed property is at the complete basis set (CBS) limit, without a robust measure of the error. Multiwavelet (MW) bases can be systematically improved with a controllable error, which eliminates the need for such assumptions. In this work, we have used MWs within Kohn–Sham density functional theory to compute static polarizabilities for a set of 92 closed-shell and 32 open-shell species. The results are compared to recent benchmark calculations employing the GTO-type aug-pc4 basis set. We observe discrepancies between GTO and MW results for several species, with open-shell systems showing the largest deviations. Based on linear response calculations, we show that these discrepancies originate from artefacts caused by the field strength, and that several polarizabilies from a previous study were contaminated by higher order responses (hyperpolarizabilities). Based on our MW benchmark results, we can affirm that aug-pc4 is able to provide results close to the CBS limit, as long as finite-difference effects can be controlled. However, we suggest that a better approach is to use MWs, which are able to yield precise finite-difference polarizabilities even with small field strengths.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {benchmark; computational chemistry; density functional theory; multiwavelet; quantum chemistry; static polarizability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Static polarizabilities at the basis set limit: A benchmark of 124 species' Description:'IntroductionThis Dataverse entry contains replication data for our journal article “Static polarizabilities at the basis set limit:A benchmark of 124 species” published in Journal of Chemical Theory and Computation. It contains highly precise static polarizabilities computed in multiwavelet basis in combination with density functional theory (DFT, PBE functional). In addition, the d/Preliminaryata set contains analysis tools (Jupyter Notebooks with Python3 code) for generating the figures in the journal article.How to useBecause our multiwavelet data is guaranteed to be at the complete basis set limit (to within the specified limit), it is suitable as a benchmark reference in studies of static polarizabilities where the basis set convergence is important. With multiwavelets we don't have to assume that the computed property is at the basis set limit, as is the case with Gaussian type orbital (GTO) basis sets, and it is therefore possible to confirm whether the property of interest computed basis is sufficiently converged with respect to the complete basis set limit. Our benchmark reference can also be used in the development of new methodology that requires accurate training data.Running the Jupyter NotebooksThe Anaconda Python distribution is usually recommended for obtaining Jupyter Notebook. It can be downloaded from here: https://www.anaconda.com/distribution/The simplest way to run the notebooks is to download all files in this DataverseNO dataset. That will preserve the directory structure, which is absolutely necessary to avoid errors. Then start your Jupyter Notebook session, navigate to the data set directory, and open the desired notebook.Journal articleBrakestad et al. 'Static polarizabilities at the basis set limit: A benchmark of 124 species'. J. Chem. Theory Comput. (2020)Abstract from journal articleBenchmarking molecular properties with Gaussian-type orbital (GTO) basis sets can be challenging, because one has to assume that the computed property is at the complete basis set (CBS) limit, without a robust measure of the error. Multiwavelet (MW) bases can be systematically improved with a controllable error, which eliminates the need for such assumptions. In this work, we have used MWs within Kohn–Sham density functional theory to compute static polarizabilities for a set of 92 closed-shell and 32 open-shell species. The results are compared to recent benchmark calculations employing the GTO-type aug-pc4 basis set. We observe discrepancies between GTO and MW results for several species, with open-shell systems showing the largest deviations. Based on linear response calculations, we show that these discrepancies originate from artefacts caused by the field strength, and that several polarizabilies from a previous study were contaminated by higher order responses (hyperpolarizabilities). Based on our MW benchmark results, we can affirm that aug-pc4 is able to provide results close to the CBS limit, as long as finite-difference effects can be controlled. However, we suggest that a better approach is to use MWs, which are able to yield precise finite-difference polarizabilities even with small field strengths.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"IntroductionThis Dataverse entry contains replication data for our journal article “Static polarizabilities at the basis set limit:A benchmark of 124 species” published in Journal of Chemical Theory and Computation. It contains highly precise static polarizabilities computed in multiwavelet basis in combination with density functional theory (DFT, PBE functional). In addition, the d/Preliminaryata set contains analysis tools (Jupyter Notebooks with Python3 code) for generating the figures in the journal article.How to useBecause our multiwavelet data is guaranteed to be at the complete basis set limit (to within the specified limit), it is suitable as a benchmark reference in studies of static polarizabilities where the basis set convergence is important. With multiwavelets we don't have to assume that the computed property is at the basis set limit, as is the case with Gaussian type orbital (GTO) basis sets, and it is therefore possible to confirm whether the property of interest computed basis is sufficiently converged with respect to the complete basis set limit. Our benchmark reference can also be used in the development of new methodology that requires accurate training data.Running the Jupyter NotebooksThe Anaconda Python distribution is usually recommended for obtaining Jupyter Notebook. It can be downloaded from here: https://www.anaconda.com/distribution/The simplest way to run the notebooks is to download all files in this DataverseNO dataset. That will preserve the directory structure, which is absolutely necessary to avoid errors. Then start your Jupyter Notebook session, navigate to the data set directory, and open the desired notebook.Journal articleBrakestad et al. 'Static polarizabilities at the basis set limit: A benchmark of 124 species'. J. Chem. Theory Comput. (2020)Abstract from journal articleBenchmarking molecular properties with Gaussian-type orbital (GTO) basis sets can be challenging, because one has to assume that the computed property is at the complete basis set (CBS) limit, without a robust measure of the error. Multiwavelet (MW) bases can be systematically improved with a controllable error, which eliminates the need for such assumptions. In this work, we have used MWs within Kohn–Sham density functional theory to compute static polarizabilities for a set of 92 closed-shell and 32 open-shell species. The results are compared to recent benchmark calculations employing the GTO-type aug-pc4 basis set. We observe discrepancies between GTO and MW results for several species, with open-shell systems showing the largest deviations. Based on linear response calculations, we show that these discrepancies originate from artefacts caused by the field strength, and that several polarizabilies from a previous study were contaminated by higher order responses (hyperpolarizabilities). Based on our MW benchmark results, we can affirm that aug-pc4 is able to provide results close to the CBS limit, as long as finite-difference effects can be controlled. However, we suggest that a better approach is to use MWs, which are able to yield precise finite-difference polarizabilities even with small field strengths.","Subject":"Chemistry","Keywords":"benchmark; computational chemistry; density functional theory; multiwavelet; quantum chemistry; static polarizability"},{"pid":"doi:10.18710/LHCGYQ","Title":"Interplay of Twist Angle and Solvents With Two-Photon Optical Channel Interference in Aryl-Substituted BODIPY Dyes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Interplay of Twist Angle and Solvents With Two-Photon Optical Channel Interference in Aryl-Substituted BODIPY Dyes' Description:'Supporting information for 'Interplay of Twist Angle and Solvents WithTwo-Photon Optical Channel Interference inAryl-Substituted BODIPY Dyes'' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Channel Interference; Quadratic response theory; Two-photon absorption+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Interplay of Twist Angle and Solvents With Two-Photon Optical Channel Interference in Aryl-Substituted BODIPY Dyes' Description:'Supporting information for 'Interplay of Twist Angle and Solvents WithTwo-Photon Optical Channel Interference inAryl-Substituted BODIPY Dyes'' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supporting information for 'Interplay of Twist Angle and Solvents WithTwo-Photon Optical Channel Interference inAryl-Substituted BODIPY Dyes'","Subject":"Chemistry","Keywords":"Channel Interference; Quadratic response theory; Two-photon absorption"},{"pid":"doi:10.18710/LUISQN","Title":"Replication Data for: The Reassigned Pseudo Wigner-Ville Transform in Electrochemical Noise Analysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The Reassigned Pseudo Wigner-Ville Transform in Electrochemical Noise Analysis' Description:'The contents here include data and analysis scripts in MATLAB used to produce the figures of the the manuscript 'The Reassigned Pseudo Wigner-Ville Transform in Electrochemical Noise Analysis' submitted to the Physical Chemistry Chemical Physics, August, 2019.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {corrosion; electrochemical noise; Wigner-Ville distribution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The Reassigned Pseudo Wigner-Ville Transform in Electrochemical Noise Analysis' Description:'The contents here include data and analysis scripts in MATLAB used to produce the figures of the the manuscript 'The Reassigned Pseudo Wigner-Ville Transform in Electrochemical Noise Analysis' submitted to the Physical Chemistry Chemical Physics, August, 2019.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The contents here include data and analysis scripts in MATLAB used to produce the figures of the the manuscript 'The Reassigned Pseudo Wigner-Ville Transform in Electrochemical Noise Analysis' submitted to the Physical Chemistry Chemical Physics, August, 2019.","Subject":"Chemistry","Keywords":"corrosion; electrochemical noise; Wigner-Ville distribution"},{"pid":"doi:10.18710/NSHFAK","Title":"Aqueous glucose measured by NIR spectroscopy","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Aqueous glucose measured by NIR spectroscopy' Description:'Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to interfere with the glucose concentration when they were not included in the calibration of the model built with partial least squares regression modeling.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {diabetes; Glucose; Near Infrared spectroscopy; NIR+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Aqueous glucose measured by NIR spectroscopy' Description:'Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to interfere with the glucose concentration when they were not included in the calibration of the model built with partial least squares regression modeling.' Subject:'Chemistry; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to interfere with the glucose concentration when they were not included in the calibration of the model built with partial least squares regression modeling.","Subject":"Chemistry","Keywords":"diabetes; Glucose; Near Infrared spectroscopy; NIR"},{"pid":"doi:10.18710/U5RNGE","Title":"Replication Data for: Radical Group Transfer of Vinyl and Alkynyl Silanes Driven by Photoredox Catalysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Radical Group Transfer of Vinyl and Alkynyl Silanes Driven by Photoredox Catalysis' Description:'Radical group transfer is a powerful tool for the formation of C–C bonds. These processes typically involve radical addition to C–C π bonds, followed by fragmentation of the cyclic intermediate. Despite the advantageous lability of organosilanes in this context, silicon-tethered radical acceptor groups have remained underexplored in radical group transfer reactions. We report a general photoredox-catalyzed protocol for the radical group transfer of vinyl and alkynyl silanes onto sp3 carbons, using activated and unactivated iodides as radical precursors. Our method displays high diastereoselectivity and excellent functional group tolerance. Mechanistic investigations revealed the key role played by silicon in facilitating a single-electron oxidation step, which leads to direct ring-opening and an overall redox-neutral process.This dataset contains raw files of proton nuclear magnetic resonance (1H NMR) and carbon nuclear magnetic resonance (13C NMR) of all compounds synthesized for and used in work: Radical group transfer of vinyl and alkynyl silanes driven by photoredox catalysis. The dataset is completed with raw files and analysis reports of correlated spectroscopy (COSY), heteronuclear single quantum coherence (HSQC), heteronuclear multiple bond correlation (HMBC), Fourier-transform infrared spectroscopy (FTIR) and high-resolution mass spectrometry (HRMS) of all new compounds synthesized for and used in this work.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {13C NMR; 1H NMR; COSY; FTIR; Group transfer; HMBC; HRMS; HSQC; Iodides; Photoredox catalysis; Radical cyclization; Radicals; Ring-opening; Silanes+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Radical Group Transfer of Vinyl and Alkynyl Silanes Driven by Photoredox Catalysis' Description:'Radical group transfer is a powerful tool for the formation of C–C bonds. These processes typically involve radical addition to C–C π bonds, followed by fragmentation of the cyclic intermediate. Despite the advantageous lability of organosilanes in this context, silicon-tethered radical acceptor groups have remained underexplored in radical group transfer reactions. We report a general photoredox-catalyzed protocol for the radical group transfer of vinyl and alkynyl silanes onto sp3 carbons, using activated and unactivated iodides as radical precursors. Our method displays high diastereoselectivity and excellent functional group tolerance. Mechanistic investigations revealed the key role played by silicon in facilitating a single-electron oxidation step, which leads to direct ring-opening and an overall redox-neutral process.This dataset contains raw files of proton nuclear magnetic resonance (1H NMR) and carbon nuclear magnetic resonance (13C NMR) of all compounds synthesized for and used in work: Radical group transfer of vinyl and alkynyl silanes driven by photoredox catalysis. The dataset is completed with raw files and analysis reports of correlated spectroscopy (COSY), heteronuclear single quantum coherence (HSQC), heteronuclear multiple bond correlation (HMBC), Fourier-transform infrared spectroscopy (FTIR) and high-resolution mass spectrometry (HRMS) of all new compounds synthesized for and used in this work.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Radical group transfer is a powerful tool for the formation of C–C bonds. These processes typically involve radical addition to C–C π bonds, followed by fragmentation of the cyclic intermediate. Despite the advantageous lability of organosilanes in this context, silicon-tethered radical acceptor groups have remained underexplored in radical group transfer reactions. We report a general photoredox-catalyzed protocol for the radical group transfer of vinyl and alkynyl silanes onto sp3 carbons, using activated and unactivated iodides as radical precursors. Our method displays high diastereoselectivity and excellent functional group tolerance. Mechanistic investigations revealed the key role played by silicon in facilitating a single-electron oxidation step, which leads to direct ring-opening and an overall redox-neutral process.This dataset contains raw files of proton nuclear magnetic resonance (1H NMR) and carbon nuclear magnetic resonance (13C NMR) of all compounds synthesized for and used in work: Radical group transfer of vinyl and alkynyl silanes driven by photoredox catalysis. The dataset is completed with raw files and analysis reports of correlated spectroscopy (COSY), heteronuclear single quantum coherence (HSQC), heteronuclear multiple bond correlation (HMBC), Fourier-transform infrared spectroscopy (FTIR) and high-resolution mass spectrometry (HRMS) of all new compounds synthesized for and used in this work.","Subject":"Chemistry","Keywords":"13C NMR; 1H NMR; COSY; FTIR; Group transfer; HMBC; HRMS; HSQC; Iodides; Photoredox catalysis; Radical cyclization; Radicals; Ring-opening; Silanes"},{"pid":"doi:10.18710/UQMMZE","Title":"Replication Data for: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times' Description:'Nitroxides are widely used as probes and polarization transfer agents in spectroscopy and imaging.These applications require high stability towards reducing biological environments, as well as beneficial relaxation properties. Closed spirocyclohexyl nitroxides exhibit a dramatically improved stability towards reduction by ascorbate, while maintaining long relaxation times in EPR spectroscopy. This dataset contains raw files and analysis reports of 1HNMR, 13CNMR, HRMS, FTIR of all compounds synthesized for and used in work: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times. Moreover, for nitroxides raw files of X-band CW-EPR spectra, kinetic runs based on CW-EPR spectra and Q-band EPR relaxation measurements are included. Dataset is completed with X-ray crystallography CIF files and reports, as well as all optimized geometries for discussed conformers' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ascorbate; Conformational analysis; DFT; Electron paramagnetic resonance spectroscopy EPR (ESR); High resolution mass spectrometry (HRMS); Infrafred spectroscopy (IR); Nitroxides; Nuclear magnetic resonance (NMR); Phase memory time (Tm); Radicals; Reduction stability; Second-order kinetic rate constant; X-ray crystallography+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times' Description:'Nitroxides are widely used as probes and polarization transfer agents in spectroscopy and imaging.These applications require high stability towards reducing biological environments, as well as beneficial relaxation properties. Closed spirocyclohexyl nitroxides exhibit a dramatically improved stability towards reduction by ascorbate, while maintaining long relaxation times in EPR spectroscopy. This dataset contains raw files and analysis reports of 1HNMR, 13CNMR, HRMS, FTIR of all compounds synthesized for and used in work: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times. Moreover, for nitroxides raw files of X-band CW-EPR spectra, kinetic runs based on CW-EPR spectra and Q-band EPR relaxation measurements are included. Dataset is completed with X-ray crystallography CIF files and reports, as well as all optimized geometries for discussed conformers' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Nitroxides are widely used as probes and polarization transfer agents in spectroscopy and imaging.These applications require high stability towards reducing biological environments, as well as beneficial relaxation properties. Closed spirocyclohexyl nitroxides exhibit a dramatically improved stability towards reduction by ascorbate, while maintaining long relaxation times in EPR spectroscopy. This dataset contains raw files and analysis reports of 1HNMR, 13CNMR, HRMS, FTIR of all compounds synthesized for and used in work: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times. Moreover, for nitroxides raw files of X-band CW-EPR spectra, kinetic runs based on CW-EPR spectra and Q-band EPR relaxation measurements are included. Dataset is completed with X-ray crystallography CIF files and reports, as well as all optimized geometries for discussed conformers","Subject":"Chemistry","Keywords":"Ascorbate; Conformational analysis; DFT; Electron paramagnetic resonance spectroscopy EPR (ESR); High resolution mass spectrometry (HRMS); Infrafred spectroscopy (IR); Nitroxides; Nuclear magnetic resonance (NMR); Phase memory time (Tm); Radicals; Reduction stability; Second-order kinetic rate constant; X-ray crystallography"},{"pid":"doi:10.18710/WA5YCF","Title":"Replication Data for: Multiwavelets applied to metal-ligand interactions: Energies free from basis set errors","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Multiwavelets applied to metal-ligand interactions: Energies free from basis set errors' Description:'IntroductionThis Dataverse record contains data for reproducing the results in our corresponding journal article. For more information about the computational protocols used to generate the data, please see the journal article or the ChemRxiv entry (see below).How to useThis data set two data files: molecular coordinates (ALL_GEOMETRIES.txt) and metal-ligand interaction energy data (Raw_Data.csv). These formats lend themselves for easy preparation and analysis with Python.For example, in order to load the data set into a Pandas DataFrame, do the following:import pandas as pddata = pd.read_csv('Raw_Data.csv')You can prepare a list of all geometries in the following way: with open('ALL_GEOMETRIES.txt') as f: raw_string = f.read() molecules = [mol.split(':n') for mol in raw_string.split(':n:n')]The ReadMe file contains descriptions of all data fields found in Raw_Data.csv. All energies are given in Hartrees, and all geometries are given in Angströms.Journal articleBrakestad et al. 'Multiwavelets applied to metal–ligand interactions: Energies free from basis set errors'. J. Chem. Phys. (2021)Abstract from journal articleTransition metal-catalyzed reactions invariably include steps where ligands associate or dissociate. In order to obtain reliable energies for such reactions, sufficiently large basis sets need to be employed. In this paper, we have used high-precision multiwavelet calculations to compute the metal–ligand association energies for 27 transition metal complexes with common ligands, such as H2, CO, olefins, and solvent molecules. By comparing our multiwavelet results to a variety of frequently used Gaussian-type basis sets, we show that counterpoise corrections, which are widely employed to correct for basis set superposition errors, often lead to underbinding. Additionally, counterpoise corrections are difficult to employ when the association step also involves a chemical transformation. Multiwavelets, which can be conveniently applied to all types of reactions, provide a promising alternative for computing electronic interaction energies free from any basis set errors.ChemRxiv recordhttps://doi.org/10.26434/chemrxiv.13669951.v1' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {basis set limit; benchmark; chemistry; metal-ligand interactions; multiwavelets; physics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Multiwavelets applied to metal-ligand interactions: Energies free from basis set errors' Description:'IntroductionThis Dataverse record contains data for reproducing the results in our corresponding journal article. For more information about the computational protocols used to generate the data, please see the journal article or the ChemRxiv entry (see below).How to useThis data set two data files: molecular coordinates (ALL_GEOMETRIES.txt) and metal-ligand interaction energy data (Raw_Data.csv). These formats lend themselves for easy preparation and analysis with Python.For example, in order to load the data set into a Pandas DataFrame, do the following:import pandas as pddata = pd.read_csv('Raw_Data.csv')You can prepare a list of all geometries in the following way: with open('ALL_GEOMETRIES.txt') as f: raw_string = f.read() molecules = [mol.split(':n') for mol in raw_string.split(':n:n')]The ReadMe file contains descriptions of all data fields found in Raw_Data.csv. All energies are given in Hartrees, and all geometries are given in Angströms.Journal articleBrakestad et al. 'Multiwavelets applied to metal–ligand interactions: Energies free from basis set errors'. J. Chem. Phys. (2021)Abstract from journal articleTransition metal-catalyzed reactions invariably include steps where ligands associate or dissociate. In order to obtain reliable energies for such reactions, sufficiently large basis sets need to be employed. In this paper, we have used high-precision multiwavelet calculations to compute the metal–ligand association energies for 27 transition metal complexes with common ligands, such as H2, CO, olefins, and solvent molecules. By comparing our multiwavelet results to a variety of frequently used Gaussian-type basis sets, we show that counterpoise corrections, which are widely employed to correct for basis set superposition errors, often lead to underbinding. Additionally, counterpoise corrections are difficult to employ when the association step also involves a chemical transformation. Multiwavelets, which can be conveniently applied to all types of reactions, provide a promising alternative for computing electronic interaction energies free from any basis set errors.ChemRxiv recordhttps://doi.org/10.26434/chemrxiv.13669951.v1' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"IntroductionThis Dataverse record contains data for reproducing the results in our corresponding journal article. For more information about the computational protocols used to generate the data, please see the journal article or the ChemRxiv entry (see below).How to useThis data set two data files: molecular coordinates (ALL_GEOMETRIES.txt) and metal-ligand interaction energy data (Raw_Data.csv). These formats lend themselves for easy preparation and analysis with Python.For example, in order to load the data set into a Pandas DataFrame, do the following:import pandas as pddata = pd.read_csv('Raw_Data.csv')You can prepare a list of all geometries in the following way: with open('ALL_GEOMETRIES.txt') as f: raw_string = f.read() molecules = [mol.split(':n') for mol in raw_string.split(':n:n')]The ReadMe file contains descriptions of all data fields found in Raw_Data.csv. All energies are given in Hartrees, and all geometries are given in Angströms.Journal articleBrakestad et al. 'Multiwavelets applied to metal–ligand interactions: Energies free from basis set errors'. J. Chem. Phys. (2021)Abstract from journal articleTransition metal-catalyzed reactions invariably include steps where ligands associate or dissociate. In order to obtain reliable energies for such reactions, sufficiently large basis sets need to be employed. In this paper, we have used high-precision multiwavelet calculations to compute the metal–ligand association energies for 27 transition metal complexes with common ligands, such as H2, CO, olefins, and solvent molecules. By comparing our multiwavelet results to a variety of frequently used Gaussian-type basis sets, we show that counterpoise corrections, which are widely employed to correct for basis set superposition errors, often lead to underbinding. Additionally, counterpoise corrections are difficult to employ when the association step also involves a chemical transformation. Multiwavelets, which can be conveniently applied to all types of reactions, provide a promising alternative for computing electronic interaction energies free from any basis set errors.ChemRxiv recordhttps://doi.org/10.26434/chemrxiv.13669951.v1","Subject":"Chemistry","Keywords":"basis set limit; benchmark; chemistry; metal-ligand interactions; multiwavelets; physics"},{"pid":"doi:10.18710/XZB5KI","Title":"Supplementary Data for: Label-free measurement of antimicrobial peptide interactions with lipid vesicles and nanodiscs using microscale thermophoresis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary Data for: Label-free measurement of antimicrobial peptide interactions with lipid vesicles and nanodiscs using microscale thermophoresis' Description:'This dataset contains raw data traces from Surface Plasmon Resonance (SPR) and Microscale Thermophoresis (MST) experiments aimed at determining the binding affinity of peptides with lipid vesicles and lipid nanodiscs. The SPR data consists of responses obtained from cycles of peptide injection over the lipid membrane, with varying peptide concentrations. The MST data includes fluorescence responses obtained from capillaries with different ratios of tested peptides and lipids. Tested hexapeptides were 1-c(WWWRRR), 2-c(WRWRWR), 3-c(WWWKKK), 4-c(WKWKWK) and 5-c(LWwNKr). The lipid compositions used in the experiments were pure 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC), DMPC with 5% (w/w) 1,2-dimyristoyl-sn-glycero-3-phospho-(1'-rac-glycerol) (DMPG), or DMPC with 10% (w/w) lipopolysaccharides from Escherichia coli O111:B4. These data traces are essential for measuring KP (lipid partitioning constant), understanding the peptide-lipid interaction and identifying potential candidates for further analysis.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {antimicrobials; binding affinity; Lipid nanodiscs; Lipid vesicles; Microscale Thermophoresis; MST; SPR; Surface Plasmon Resonance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary Data for: Label-free measurement of antimicrobial peptide interactions with lipid vesicles and nanodiscs using microscale thermophoresis' Description:'This dataset contains raw data traces from Surface Plasmon Resonance (SPR) and Microscale Thermophoresis (MST) experiments aimed at determining the binding affinity of peptides with lipid vesicles and lipid nanodiscs. The SPR data consists of responses obtained from cycles of peptide injection over the lipid membrane, with varying peptide concentrations. The MST data includes fluorescence responses obtained from capillaries with different ratios of tested peptides and lipids. Tested hexapeptides were 1-c(WWWRRR), 2-c(WRWRWR), 3-c(WWWKKK), 4-c(WKWKWK) and 5-c(LWwNKr). The lipid compositions used in the experiments were pure 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC), DMPC with 5% (w/w) 1,2-dimyristoyl-sn-glycero-3-phospho-(1'-rac-glycerol) (DMPG), or DMPC with 10% (w/w) lipopolysaccharides from Escherichia coli O111:B4. These data traces are essential for measuring KP (lipid partitioning constant), understanding the peptide-lipid interaction and identifying potential candidates for further analysis.' Subject:'Chemistry; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains raw data traces from Surface Plasmon Resonance (SPR) and Microscale Thermophoresis (MST) experiments aimed at determining the binding affinity of peptides with lipid vesicles and lipid nanodiscs. The SPR data consists of responses obtained from cycles of peptide injection over the lipid membrane, with varying peptide concentrations. The MST data includes fluorescence responses obtained from capillaries with different ratios of tested peptides and lipids. Tested hexapeptides were 1-c(WWWRRR), 2-c(WRWRWR), 3-c(WWWKKK), 4-c(WKWKWK) and 5-c(LWwNKr). The lipid compositions used in the experiments were pure 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC), DMPC with 5% (w/w) 1,2-dimyristoyl-sn-glycero-3-phospho-(1'-rac-glycerol) (DMPG), or DMPC with 10% (w/w) lipopolysaccharides from Escherichia coli O111:B4. These data traces are essential for measuring KP (lipid partitioning constant), understanding the peptide-lipid interaction and identifying potential candidates for further analysis.","Subject":"Chemistry","Keywords":"antimicrobials; binding affinity; Lipid nanodiscs; Lipid vesicles; Microscale Thermophoresis; MST; SPR; Surface Plasmon Resonance"},{"pid":"doi:10.18710/ZFADJS","Title":"Experimental data for the Nanoname project","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Experimental data for the Nanoname project' Description:'This dataset contains experimental data collected for the Nanoname project: 'Improving sodium ion battery performance with Nanostructured Na-metallate anodes'. The dataset contains data from electrochemical and structural characterization of Bi-metallates (mainly Bi2MoO6 and BiFeO3) as an anode materials for Na-ion batteries.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bi2MoO6; BiFeO3; Bi-metallates; Energy storage; Na-ion batteries; Scanning electron microscopy; X-ray absorption spectroscopy; X-ray diffraction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Experimental data for the Nanoname project' Description:'This dataset contains experimental data collected for the Nanoname project: 'Improving sodium ion battery performance with Nanostructured Na-metallate anodes'. The dataset contains data from electrochemical and structural characterization of Bi-metallates (mainly Bi2MoO6 and BiFeO3) as an anode materials for Na-ion batteries.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains experimental data collected for the Nanoname project: 'Improving sodium ion battery performance with Nanostructured Na-metallate anodes'. The dataset contains data from electrochemical and structural characterization of Bi-metallates (mainly Bi2MoO6 and BiFeO3) as an anode materials for Na-ion batteries.","Subject":"Chemistry","Keywords":"Bi2MoO6; BiFeO3; Bi-metallates; Energy storage; Na-ion batteries; Scanning electron microscopy; X-ray absorption spectroscopy; X-ray diffraction"},{"pid":"doi:10.18710/ZVIJWA","Title":"Stressor 2019: Concentrations of chlorophyll a, nutrients (silicate, phosphate, nitrate, nitrite), POC, PON and biogenic silica in the northern Norwegian Sea","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stressor 2019: Concentrations of chlorophyll a, nutrients (silicate, phosphate, nitrate, nitrite), POC, PON and biogenic silica in the northern Norwegian Sea' Description:'Data on the concentrations of chlorphyll a, nutrients, particulate organic carbon and nitrogen, and biogenic silica are presented from 28 stations in the northern Norwegian Sea. Data were collected during a research cruise with R/V Helmer Hanssen 27 April to 12 May 2019. All data are based on filtrations of seawater that was collected by Niskin bottles mounted on a CTD-rosette from discrete depths along vertical profiles. Analysis followed standard procedures and used standard equipment for seawater analysis , more in the README file.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Biogenic silica; Chlorophyll concentration; Nitrate; Norwegian Sea; Nutrients; Oceanography; Particulate Organic Matter; Phosphate; Seawater Chemistry; Silicate+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stressor 2019: Concentrations of chlorophyll a, nutrients (silicate, phosphate, nitrate, nitrite), POC, PON and biogenic silica in the northern Norwegian Sea' Description:'Data on the concentrations of chlorphyll a, nutrients, particulate organic carbon and nitrogen, and biogenic silica are presented from 28 stations in the northern Norwegian Sea. Data were collected during a research cruise with R/V Helmer Hanssen 27 April to 12 May 2019. All data are based on filtrations of seawater that was collected by Niskin bottles mounted on a CTD-rosette from discrete depths along vertical profiles. Analysis followed standard procedures and used standard equipment for seawater analysis , more in the README file.' Subject:'Chemistry; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data on the concentrations of chlorphyll a, nutrients, particulate organic carbon and nitrogen, and biogenic silica are presented from 28 stations in the northern Norwegian Sea. Data were collected during a research cruise with R/V Helmer Hanssen 27 April to 12 May 2019. All data are based on filtrations of seawater that was collected by Niskin bottles mounted on a CTD-rosette from discrete depths along vertical profiles. Analysis followed standard procedures and used standard equipment for seawater analysis , more in the README file.","Subject":"Chemistry","Keywords":"Biogenic silica; Chlorophyll concentration; Nitrate; Norwegian Sea; Nutrients; Oceanography; Particulate Organic Matter; Phosphate; Seawater Chemistry; Silicate"},{"pid":"doi:10.18738/T8/0UFTCA","Title":"EPS2018","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'EPS2018' Description:'Mass spectrometry data of biofilm EPS grown on various mannoside surfaces.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Biofilm; EPS; Mass spectrometry; Proteomics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'EPS2018' Description:'Mass spectrometry data of biofilm EPS grown on various mannoside surfaces.' Subject:'Chemistry; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Mass spectrometry data of biofilm EPS grown on various mannoside surfaces.","Subject":"Chemistry","Keywords":"Biofilm; EPS; Mass spectrometry; Proteomics"},{"pid":"doi:10.18738/T8/5BA9PU","Title":"Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks' Description:'Data for manuscript: Short- and long-range crowding effects on water’s hydrogen bond networks, Cell Reports Physical Science.Authors: Xiao You, Joseph C. Shirley, Euihyun Lee, Carlos R. BaizDepartment of Chemistry, University of Texas at Austin, Austin, TX 78757, USA email: cbaiz@cm.utexas.eduIntracellular water is highly confined with approximately 40% of the cell volume occupied by biomolecules. Crowding alters water dynamics and interactions with biomolecules. In biochemical experiments, artificial crowders are commonly used to mimic intracellular environments, but their effects on biomolecules remain elusive. Here, we investigate the crowding effects by directly accessing the picosecond hydrogen-bond dynamics in crowded solutions using ultrafast two-dimensional infrared spectroscopy and all-atom molecular dynamics simulations. We quantify the effects of different crowding agents: small sugars, polysaccharides, and polyethylene glycol (PEG). Our results show that crowders introduce disorder within the first two solvation shells but stabilize ice-like order in water >1 nm from the crowder. The results show that accounting for crowder chemical structure, conformation, and crowder-solvent interactions is a key step towards a complete description of crowded solutions for in vitro for biomolecular studies.Main folder contains the following subfolders:.:NaSCN_H2O_2DIR_anisotropy.:NaSCN_Dextrose_2DIR_anisotropy.:NaSCN_Sucrose_2DIR_anisotropy.:NaSCN_Dextran_2DIR_anisotropy.:NaSCN_Ficoll70_2DIR_anisotropy.:NaSCN_PEG600_2DIR_anisotropy.:NaSCN_PEG1500_2DIR_anisotropy.:NaSCN_H2O_reproduce_2DIR_anisotropyEach of them contains the raw data in .mat format, such as 'NaSCN in H2O.mat' Each folder contains the NLS analysis of each data set, such as 'NaSCN in H2O_NLS.mat'The plots generated from Matlab analysis are also included in each folder.Folder MD simulation contains four subfolders:.:MD_raw_data contains all the pdb files from MD simulationAs described in '_naming.txt':AGLC0_4PEW...represents waterAGLC160_4PEW...represents glucose water solutionSUCR84_4PEW...represents sucrose water solutionLINDEX9_4PEW...represents dextran water solutionSwiFC15_4PEW...represents Ficoll water solutionPEG1063_4PEW...represents PEG n = 10 water solutionPEG3518 _4PEW... represents PEG n =35 water solution.:Hbond_Analysis contains all the data analysis that results in the plots of H-bond population, order parameters and their distributions in each system- Data type is .mat and .fig files for use with matlab.:FFCF stands for frquency-frequency-correlation-function, contains all the data analysis that results in the simulated dacay time- Data type is .mat and .fig files for use with matlab-'_description.txt' contains the data analysis inputs and parameters.:Mean_Square_Displacement contains the data for calculating Mean Square Displacement.- Data type is .mat files for use with matlab-'_description.txt' includes the data analysis inputs and parameters' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Infrared; spectroscopy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks' Description:'Data for manuscript: Short- and long-range crowding effects on water’s hydrogen bond networks, Cell Reports Physical Science.Authors: Xiao You, Joseph C. Shirley, Euihyun Lee, Carlos R. BaizDepartment of Chemistry, University of Texas at Austin, Austin, TX 78757, USA email: cbaiz@cm.utexas.eduIntracellular water is highly confined with approximately 40% of the cell volume occupied by biomolecules. Crowding alters water dynamics and interactions with biomolecules. In biochemical experiments, artificial crowders are commonly used to mimic intracellular environments, but their effects on biomolecules remain elusive. Here, we investigate the crowding effects by directly accessing the picosecond hydrogen-bond dynamics in crowded solutions using ultrafast two-dimensional infrared spectroscopy and all-atom molecular dynamics simulations. We quantify the effects of different crowding agents: small sugars, polysaccharides, and polyethylene glycol (PEG). Our results show that crowders introduce disorder within the first two solvation shells but stabilize ice-like order in water >1 nm from the crowder. The results show that accounting for crowder chemical structure, conformation, and crowder-solvent interactions is a key step towards a complete description of crowded solutions for in vitro for biomolecular studies.Main folder contains the following subfolders:.:NaSCN_H2O_2DIR_anisotropy.:NaSCN_Dextrose_2DIR_anisotropy.:NaSCN_Sucrose_2DIR_anisotropy.:NaSCN_Dextran_2DIR_anisotropy.:NaSCN_Ficoll70_2DIR_anisotropy.:NaSCN_PEG600_2DIR_anisotropy.:NaSCN_PEG1500_2DIR_anisotropy.:NaSCN_H2O_reproduce_2DIR_anisotropyEach of them contains the raw data in .mat format, such as 'NaSCN in H2O.mat' Each folder contains the NLS analysis of each data set, such as 'NaSCN in H2O_NLS.mat'The plots generated from Matlab analysis are also included in each folder.Folder MD simulation contains four subfolders:.:MD_raw_data contains all the pdb files from MD simulationAs described in '_naming.txt':AGLC0_4PEW...represents waterAGLC160_4PEW...represents glucose water solutionSUCR84_4PEW...represents sucrose water solutionLINDEX9_4PEW...represents dextran water solutionSwiFC15_4PEW...represents Ficoll water solutionPEG1063_4PEW...represents PEG n = 10 water solutionPEG3518 _4PEW... represents PEG n =35 water solution.:Hbond_Analysis contains all the data analysis that results in the plots of H-bond population, order parameters and their distributions in each system- Data type is .mat and .fig files for use with matlab.:FFCF stands for frquency-frequency-correlation-function, contains all the data analysis that results in the simulated dacay time- Data type is .mat and .fig files for use with matlab-'_description.txt' contains the data analysis inputs and parameters.:Mean_Square_Displacement contains the data for calculating Mean Square Displacement.- Data type is .mat files for use with matlab-'_description.txt' includes the data analysis inputs and parameters' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data for manuscript: Short- and long-range crowding effects on water’s hydrogen bond networks, Cell Reports Physical Science.Authors: Xiao You, Joseph C. Shirley, Euihyun Lee, Carlos R. BaizDepartment of Chemistry, University of Texas at Austin, Austin, TX 78757, USA email: cbaiz@cm.utexas.eduIntracellular water is highly confined with approximately 40% of the cell volume occupied by biomolecules. Crowding alters water dynamics and interactions with biomolecules. In biochemical experiments, artificial crowders are commonly used to mimic intracellular environments, but their effects on biomolecules remain elusive. Here, we investigate the crowding effects by directly accessing the picosecond hydrogen-bond dynamics in crowded solutions using ultrafast two-dimensional infrared spectroscopy and all-atom molecular dynamics simulations. We quantify the effects of different crowding agents: small sugars, polysaccharides, and polyethylene glycol (PEG). Our results show that crowders introduce disorder within the first two solvation shells but stabilize ice-like order in water >1 nm from the crowder. The results show that accounting for crowder chemical structure, conformation, and crowder-solvent interactions is a key step towards a complete description of crowded solutions for in vitro for biomolecular studies.Main folder contains the following subfolders:.:NaSCN_H2O_2DIR_anisotropy.:NaSCN_Dextrose_2DIR_anisotropy.:NaSCN_Sucrose_2DIR_anisotropy.:NaSCN_Dextran_2DIR_anisotropy.:NaSCN_Ficoll70_2DIR_anisotropy.:NaSCN_PEG600_2DIR_anisotropy.:NaSCN_PEG1500_2DIR_anisotropy.:NaSCN_H2O_reproduce_2DIR_anisotropyEach of them contains the raw data in .mat format, such as 'NaSCN in H2O.mat' Each folder contains the NLS analysis of each data set, such as 'NaSCN in H2O_NLS.mat'The plots generated from Matlab analysis are also included in each folder.Folder MD simulation contains four subfolders:.:MD_raw_data contains all the pdb files from MD simulationAs described in '_naming.txt':AGLC0_4PEW...represents waterAGLC160_4PEW...represents glucose water solutionSUCR84_4PEW...represents sucrose water solutionLINDEX9_4PEW...represents dextran water solutionSwiFC15_4PEW...represents Ficoll water solutionPEG1063_4PEW...represents PEG n = 10 water solutionPEG3518 _4PEW... represents PEG n =35 water solution.:Hbond_Analysis contains all the data analysis that results in the plots of H-bond population, order parameters and their distributions in each system- Data type is .mat and .fig files for use with matlab.:FFCF stands for frquency-frequency-correlation-function, contains all the data analysis that results in the simulated dacay time- Data type is .mat and .fig files for use with matlab-'_description.txt' contains the data analysis inputs and parameters.:Mean_Square_Displacement contains the data for calculating Mean Square Displacement.- Data type is .mat files for use with matlab-'_description.txt' includes the data analysis inputs and parameters","Subject":"Chemistry","Keywords":"Infrared; spectroscopy"},{"pid":"doi:10.18738/T8/DFBE1M","Title":"Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning' Description:'Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered “unsuitable” due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Stabilized Organic Soils+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning' Description:'Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered “unsuitable” due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.' Subject:'Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered “unsuitable” due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.","Subject":"Chemistry","Keywords":"Stabilized Organic Soils"},{"pid":"doi:10.18738/T8/JXAXZY","Title":"Replication Data for Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds' Description:'This file contains the data used in the paper listed above. The sample data used in the paper was collected by the Office of the Texas State Chemist in the state of Texas from various manufacturers and distributors.' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Animal feed, hazard, risk assessment, copper, molybdenum, contaminants, minerals, essential minerals, feed ingredients, finished feeds+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds' Description:'This file contains the data used in the paper listed above. The sample data used in the paper was collected by the Office of the Texas State Chemist in the state of Texas from various manufacturers and distributors.' Subject:'Agricultural Sciences; Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This file contains the data used in the paper listed above. The sample data used in the paper was collected by the Office of the Texas State Chemist in the state of Texas from various manufacturers and distributors.","Subject":" Chemistry","Keywords":"Animal feed, hazard, risk assessment, copper, molybdenum, contaminants, minerals, essential minerals, feed ingredients, finished feeds"},{"pid":"doi:10.18738/T8/KLJVUP","Title":"Appendix B","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Appendix B' Description:'Appendix for Chapter Three: Home Range of the Columbian Mammoths (Mammuthus columbi) and Grazing Herbivores from the Waco Mammoth National Monument, (Texas, USA) Based on Strontium Isotope Ratios from tooth Enamel Bioapatite' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {dental enamel; mammoth; Pleistocene; stable isotopes; strontium+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Appendix B' Description:'Appendix for Chapter Three: Home Range of the Columbian Mammoths (Mammuthus columbi) and Grazing Herbivores from the Waco Mammoth National Monument, (Texas, USA) Based on Strontium Isotope Ratios from tooth Enamel Bioapatite' Subject:'Chemistry; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Appendix for Chapter Three: Home Range of the Columbian Mammoths (Mammuthus columbi) and Grazing Herbivores from the Waco Mammoth National Monument, (Texas, USA) Based on Strontium Isotope Ratios from tooth Enamel Bioapatite","Subject":"Chemistry","Keywords":"dental enamel; mammoth; Pleistocene; stable isotopes; strontium"},{"pid":"doi:10.18738/T8/N3XJPB","Title":"Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling' Description:'This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Stabilized Organic Soils+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling' Description:'This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.' Subject:'Chemistry; Computer and Information Science; Earth and Environmental Sciences; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.","Subject":"Chemistry","Keywords":"Stabilized Organic Soils"},{"pid":"doi:10.21950/BCYB9Y","Title":"Crystal structure of (1,3-di-tert-butyl- η 5-cyclopentadienyl)trimethylhafnium(IV)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Crystal structure of (1,3-di-tert-butyl- η 5-cyclopentadienyl)trimethylhafnium(IV)' Description:'The molecule of the title organometallic hafnium(IV) compound, [Hf(CH3) 3(C 13H 21)] or [HfMe3( η 5-C 5H 3-1,3- tBu 2)], adopts the classical three-legged piano-stool geometry for monocyclopentadienylhafnium(IV) derivatives with the three methyl groups bonded to the Hf(IV) atom at the legs. The C atoms of the two tert-butyl group bonded to the cyclopentadienyl (Cp) ring are 0.132 (5) and 0.154 (6) Å above the Cp least-squares plane. There are no significant intermolecular interactions present between the molecules in the crystal structure.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Crystal structure; Cyclopentadienyl ligand; Hafnium; Organometallic compound.+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Crystal structure of (1,3-di-tert-butyl- η 5-cyclopentadienyl)trimethylhafnium(IV)' Description:'The molecule of the title organometallic hafnium(IV) compound, [Hf(CH3) 3(C 13H 21)] or [HfMe3( η 5-C 5H 3-1,3- tBu 2)], adopts the classical three-legged piano-stool geometry for monocyclopentadienylhafnium(IV) derivatives with the three methyl groups bonded to the Hf(IV) atom at the legs. The C atoms of the two tert-butyl group bonded to the cyclopentadienyl (Cp) ring are 0.132 (5) and 0.154 (6) Å above the Cp least-squares plane. There are no significant intermolecular interactions present between the molecules in the crystal structure.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The molecule of the title organometallic hafnium(IV) compound, [Hf(CH3) 3(C 13H 21)] or [HfMe3( η 5-C 5H 3-1,3- tBu 2)], adopts the classical three-legged piano-stool geometry for monocyclopentadienylhafnium(IV) derivatives with the three methyl groups bonded to the Hf(IV) atom at the legs. The C atoms of the two tert-butyl group bonded to the cyclopentadienyl (Cp) ring are 0.132 (5) and 0.154 (6) Å above the Cp least-squares plane. There are no significant intermolecular interactions present between the molecules in the crystal structure.","Subject":"Chemistry","Keywords":"Crystal structure; Cyclopentadienyl ligand; Hafnium; Organometallic compound."},{"pid":"doi:10.21950/LQYPTM","Title":"Electronic energies, quantum defects and half-lives for the first three water resonances above the B state of H2O+","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Electronic energies, quantum defects and half-lives for the first three water resonances above the B state of H2O+' Description:'Finding solutions of the continuum spectra of the time-independent Schrodinguer equation for the water molecule' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Dissociative excitation; Electron scattering; Fragmentation; Resonance; Water; Water cation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Electronic energies, quantum defects and half-lives for the first three water resonances above the B state of H2O+' Description:'Finding solutions of the continuum spectra of the time-independent Schrodinguer equation for the water molecule' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Finding solutions of the continuum spectra of the time-independent Schrodinguer equation for the water molecule","Subject":"Chemistry","Keywords":"Dissociative excitation; Electron scattering; Fragmentation; Resonance; Water; Water cation"},{"pid":"doi:10.21950/NR3KKL","Title":"A nanostructured Cu(II) coordination polymer based on alanine as a tri-functional mimic enzyme and efficient composite in the detection of Sphingobacteria","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A nanostructured Cu(II) coordination polymer based on alanine as a tri-functional mimic enzyme and efficient composite in the detection of Sphingobacteria' Description:'This research raises the potential use of coordination polymers as new useful materials in two essential research fields, allowing the obtaining of a new multi artificial enzyme with the capacity to inhibit the growth of bacteria resistance. The fine selection of the ligands allows the designs of a new 2D Coordination Polymer (CP), with the formula [Cu2(IBA)2(OH2)4]n·6nH2O, by the combination of Cu(II) as the metal center with a pseudo amino acid (H2IBA =Isophthaloyl bis β-alanine). Quantitative total X-Ray Fluorescence (TXRF) analyses show that the obtained CP can gradually release Cu(II) ions. Additionally, this CP can be nano-processed and transformed into the metal-organic gel (MOG) by using different Cu(II) salts concentrations and the application of ultrasounds. Considering its nanometric dimensions, the slow Cu(II) release and its simple processability, its performance as an artificial enzyme, and its antibacterial ability were explored. The results obtained show the first nano-coordination polymer acting as an artificial multienzyme (peroxidase, catalase, and superoxodismutase) exhibiting antibacterial activity in the presence of hydrogen peroxide, with selective behavior for three bacterium strains (S. spiritovirum, A. faecales, and B. cereus). Indeed, this CP shows a more robust inhibition capacity for Sphingobacterium. Going beyond that, as there are no comfortable and practically clinical tests capable of detecting the presence of Sphingobacteria, the compound can be easily embedded to form moldable gelatin that will facilitate the handling and low-cost commercial kits' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {antimicrobial; artificial nanoenzyme; bio-inspired coordination polymers; composite materials; modified amino acids+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A nanostructured Cu(II) coordination polymer based on alanine as a tri-functional mimic enzyme and efficient composite in the detection of Sphingobacteria' Description:'This research raises the potential use of coordination polymers as new useful materials in two essential research fields, allowing the obtaining of a new multi artificial enzyme with the capacity to inhibit the growth of bacteria resistance. The fine selection of the ligands allows the designs of a new 2D Coordination Polymer (CP), with the formula [Cu2(IBA)2(OH2)4]n·6nH2O, by the combination of Cu(II) as the metal center with a pseudo amino acid (H2IBA =Isophthaloyl bis β-alanine). Quantitative total X-Ray Fluorescence (TXRF) analyses show that the obtained CP can gradually release Cu(II) ions. Additionally, this CP can be nano-processed and transformed into the metal-organic gel (MOG) by using different Cu(II) salts concentrations and the application of ultrasounds. Considering its nanometric dimensions, the slow Cu(II) release and its simple processability, its performance as an artificial enzyme, and its antibacterial ability were explored. The results obtained show the first nano-coordination polymer acting as an artificial multienzyme (peroxidase, catalase, and superoxodismutase) exhibiting antibacterial activity in the presence of hydrogen peroxide, with selective behavior for three bacterium strains (S. spiritovirum, A. faecales, and B. cereus). Indeed, this CP shows a more robust inhibition capacity for Sphingobacterium. Going beyond that, as there are no comfortable and practically clinical tests capable of detecting the presence of Sphingobacteria, the compound can be easily embedded to form moldable gelatin that will facilitate the handling and low-cost commercial kits' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This research raises the potential use of coordination polymers as new useful materials in two essential research fields, allowing the obtaining of a new multi artificial enzyme with the capacity to inhibit the growth of bacteria resistance. The fine selection of the ligands allows the designs of a new 2D Coordination Polymer (CP), with the formula [Cu2(IBA)2(OH2)4]n·6nH2O, by the combination of Cu(II) as the metal center with a pseudo amino acid (H2IBA =Isophthaloyl bis β-alanine). Quantitative total X-Ray Fluorescence (TXRF) analyses show that the obtained CP can gradually release Cu(II) ions. Additionally, this CP can be nano-processed and transformed into the metal-organic gel (MOG) by using different Cu(II) salts concentrations and the application of ultrasounds. Considering its nanometric dimensions, the slow Cu(II) release and its simple processability, its performance as an artificial enzyme, and its antibacterial ability were explored. The results obtained show the first nano-coordination polymer acting as an artificial multienzyme (peroxidase, catalase, and superoxodismutase) exhibiting antibacterial activity in the presence of hydrogen peroxide, with selective behavior for three bacterium strains (S. spiritovirum, A. faecales, and B. cereus). Indeed, this CP shows a more robust inhibition capacity for Sphingobacterium. Going beyond that, as there are no comfortable and practically clinical tests capable of detecting the presence of Sphingobacteria, the compound can be easily embedded to form moldable gelatin that will facilitate the handling and low-cost commercial kits","Subject":"Chemistry","Keywords":"antimicrobial; artificial nanoenzyme; bio-inspired coordination polymers; composite materials; modified amino acids"},{"pid":"doi:10.21950/QOTKHI","Title":"Research results of the migration in food simulants and disintegration of PLA and organic fillers nanocomposites","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Research results of the migration in food simulants and disintegration of PLA and organic fillers nanocomposites' Description:'The main aim of this project was to analyze the effect of two organic fillers, namely silk fibroin nanoparticles and yerba mate nanoparticles, on the migration in two ethanolic food simulants, and in the disintegration in composting conditions, of mechanically recycled PLA.METODOLOGÍA--------------------------1. Metolodogía (empleada para la recogida o generación de los datos)The data was collected according to the standard procedures related to each experimental technique.--------------------------FICHEROS--------------------------1. Ficheros (Relación de todos los ficheros que se incluyen en el dataset, estructura breve descripción de su contenido, indicar formato, idioma, versión, etc.) - Migration_Dataset.xlsxExcel file containing the data related to the migration experiments in the two ethanolic simulants. The different data is organized in different sheets, each one corresponding to the different experimental techniques: Migration, DSC, TGA, Hardness and FTIR.- Compost_Dataset.xlsxExcel file containing the data related to the composting experiments. The different data is organized in different sheets, each one corresponding to the different experimental techniques: Mass loss, Intrinsic viscosity, DSC, TGA, and FTIR.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {composting; mechanical recycling;; migration; nanocomposites; poly(lactic acid); silk fibroin; yerba mate+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Research results of the migration in food simulants and disintegration of PLA and organic fillers nanocomposites' Description:'The main aim of this project was to analyze the effect of two organic fillers, namely silk fibroin nanoparticles and yerba mate nanoparticles, on the migration in two ethanolic food simulants, and in the disintegration in composting conditions, of mechanically recycled PLA.METODOLOGÍA--------------------------1. Metolodogía (empleada para la recogida o generación de los datos)The data was collected according to the standard procedures related to each experimental technique.--------------------------FICHEROS--------------------------1. Ficheros (Relación de todos los ficheros que se incluyen en el dataset, estructura breve descripción de su contenido, indicar formato, idioma, versión, etc.) - Migration_Dataset.xlsxExcel file containing the data related to the migration experiments in the two ethanolic simulants. The different data is organized in different sheets, each one corresponding to the different experimental techniques: Migration, DSC, TGA, Hardness and FTIR.- Compost_Dataset.xlsxExcel file containing the data related to the composting experiments. The different data is organized in different sheets, each one corresponding to the different experimental techniques: Mass loss, Intrinsic viscosity, DSC, TGA, and FTIR.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The main aim of this project was to analyze the effect of two organic fillers, namely silk fibroin nanoparticles and yerba mate nanoparticles, on the migration in two ethanolic food simulants, and in the disintegration in composting conditions, of mechanically recycled PLA.METODOLOGÍA--------------------------1. Metolodogía (empleada para la recogida o generación de los datos)The data was collected according to the standard procedures related to each experimental technique.--------------------------FICHEROS--------------------------1. Ficheros (Relación de todos los ficheros que se incluyen en el dataset, estructura breve descripción de su contenido, indicar formato, idioma, versión, etc.) - Migration_Dataset.xlsxExcel file containing the data related to the migration experiments in the two ethanolic simulants. The different data is organized in different sheets, each one corresponding to the different experimental techniques: Migration, DSC, TGA, Hardness and FTIR.- Compost_Dataset.xlsxExcel file containing the data related to the composting experiments. The different data is organized in different sheets, each one corresponding to the different experimental techniques: Mass loss, Intrinsic viscosity, DSC, TGA, and FTIR.","Subject":"Chemistry","Keywords":"composting; mechanical recycling;; migration; nanocomposites; poly(lactic acid); silk fibroin; yerba mate"},{"pid":"doi:10.21950/WIYGUL","Title":"Crystal structure of μ-oxido-1,1′ κ 2 O: O-bis{tetra- μ-oxido-1:2 κ 2 O: O;1:3 κ 2 O: O;2:3 κ 4 O: O-tris[1,2,3( η 5)-pentamethylcyclopentadienyl]- trianglo-trititanium(IV)}","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Crystal structure of μ-oxido-1,1′ κ 2 O: O-bis{tetra- μ-oxido-1:2 κ 2 O: O;1:3 κ 2 O: O;2:3 κ 4 O: O-tris[1,2,3( η 5)-pentamethylcyclopentadienyl]- trianglo-trititanium(IV)}' Description:'The title polynuclear organometallic titanium(IV) oxide, [{Ti3( η 5-C 5Me 5) 3( μ-O) 4} 2( μ-O)], exhibits two Ti3O 4 cores bridged by an O atom located on a twofold axis. All metal centres present the typical three-legged piano-stool coordination environment, where one site is occupied by a pentamethylcyclopentadienyl ligand linked in an η 5-coordination fashion, while three bridging O atoms fill the other three sites.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Crystal structure; Organometallic; Pentamethylcyclopentadienyl ligand; Titanium oxide+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Crystal structure of μ-oxido-1,1′ κ 2 O: O-bis{tetra- μ-oxido-1:2 κ 2 O: O;1:3 κ 2 O: O;2:3 κ 4 O: O-tris[1,2,3( η 5)-pentamethylcyclopentadienyl]- trianglo-trititanium(IV)}' Description:'The title polynuclear organometallic titanium(IV) oxide, [{Ti3( η 5-C 5Me 5) 3( μ-O) 4} 2( μ-O)], exhibits two Ti3O 4 cores bridged by an O atom located on a twofold axis. All metal centres present the typical three-legged piano-stool coordination environment, where one site is occupied by a pentamethylcyclopentadienyl ligand linked in an η 5-coordination fashion, while three bridging O atoms fill the other three sites.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The title polynuclear organometallic titanium(IV) oxide, [{Ti3( η 5-C 5Me 5) 3( μ-O) 4} 2( μ-O)], exhibits two Ti3O 4 cores bridged by an O atom located on a twofold axis. All metal centres present the typical three-legged piano-stool coordination environment, where one site is occupied by a pentamethylcyclopentadienyl ligand linked in an η 5-coordination fashion, while three bridging O atoms fill the other three sites.","Subject":"Chemistry","Keywords":"Crystal structure; Organometallic; Pentamethylcyclopentadienyl ligand; Titanium oxide"},{"pid":"doi:10.34725/DVN/TWQVDA","Title":"Sclerocarya birrea provenance Evaluation Trial at ARI-TUMBI Field Site, Tanzania, 2015.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sclerocarya birrea provenance Evaluation Trial at ARI-TUMBI Field Site, Tanzania, 2015.' Description:'Provenance evaluation' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Evaluation; Provenance; Sclerocarya birrea; Trial+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sclerocarya birrea provenance Evaluation Trial at ARI-TUMBI Field Site, Tanzania, 2015.' Description:'Provenance evaluation' Subject:'Agricultural Sciences; Chemistry; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Provenance evaluation","Subject":" Chemistry","Keywords":"Evaluation; Provenance; Sclerocarya birrea; Trial"},{"pid":"doi:10.34725/DVN/UCP6O2","Title":"Strychnos cocculoides Provenance trial at ARI-TUMBI Field Site, Tanzania, 2015.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Strychnos cocculoides Provenance trial at ARI-TUMBI Field Site, Tanzania, 2015.' Description:'Provenance trial' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Provenance; Strychnos cocculoides; Trial+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Strychnos cocculoides Provenance trial at ARI-TUMBI Field Site, Tanzania, 2015.' Description:'Provenance trial' Subject:'Agricultural Sciences; Chemistry; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Provenance trial","Subject":" Chemistry","Keywords":"Provenance; Strychnos cocculoides; Trial"},{"pid":"doi:10.34725/DVN/VSNDHI","Title":"Replication Data for: Effects of Rootstock Type and Scion Cultivar on Grafting Success and Growth of Mango (Mangifera indica L.) Seedlings","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Effects of Rootstock Type and Scion Cultivar on Grafting Success and Growth of Mango (Mangifera indica L.) Seedlings' Description:'Aim: To evaluate the effects of three types of rootstocks: (i) Ngwangwa (ii) Sindano and (iii) Zinzicommonly used in the coastal belt of Tanzania on grafting success and seedling growth of siximproved mango cultivars: (i) Apple (ii) Ngowe (iii) Kent (iv) Keitt (v) Alphonso and (vi) TommyAtkins.Study Design: Plants were arranged in a split plot design with three replications. The rootstockswere main plots while the scion cultivars were subplots.Place and Duration of Study: At Chambezi research farm of Mikocheni Agricultural researchinstitute (MARI) located at 6°30’S and 38°55’E at al titude of 12 meters above sea level in thecoastal belt of Tanzania, from January 2014 to March 2015.' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Compatibility; Nursery; Propagation; Varieties+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Effects of Rootstock Type and Scion Cultivar on Grafting Success and Growth of Mango (Mangifera indica L.) Seedlings' Description:'Aim: To evaluate the effects of three types of rootstocks: (i) Ngwangwa (ii) Sindano and (iii) Zinzicommonly used in the coastal belt of Tanzania on grafting success and seedling growth of siximproved mango cultivars: (i) Apple (ii) Ngowe (iii) Kent (iv) Keitt (v) Alphonso and (vi) TommyAtkins.Study Design: Plants were arranged in a split plot design with three replications. The rootstockswere main plots while the scion cultivars were subplots.Place and Duration of Study: At Chambezi research farm of Mikocheni Agricultural researchinstitute (MARI) located at 6°30’S and 38°55’E at al titude of 12 meters above sea level in thecoastal belt of Tanzania, from January 2014 to March 2015.' Subject:'Agricultural Sciences; Chemistry; Medicine, Health and Life Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Aim: To evaluate the effects of three types of rootstocks: (i) Ngwangwa (ii) Sindano and (iii) Zinzicommonly used in the coastal belt of Tanzania on grafting success and seedling growth of siximproved mango cultivars: (i) Apple (ii) Ngowe (iii) Kent (iv) Keitt (v) Alphonso and (vi) TommyAtkins.Study Design: Plants were arranged in a split plot design with three replications. The rootstockswere main plots while the scion cultivars were subplots.Place and Duration of Study: At Chambezi research farm of Mikocheni Agricultural researchinstitute (MARI) located at 6°30’S and 38°55’E at al titude of 12 meters above sea level in thecoastal belt of Tanzania, from January 2014 to March 2015.","Subject":" Chemistry","Keywords":"Compatibility; Nursery; Propagation; Varieties"},{"pid":"doi:10.34725/DVN/WPB4MV","Title":"Replication Data for: Rôle des feux de savane sur les caractéristiques biogéochimiques des sols en zone soudanienne du Burkina Faso","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Rôle des feux de savane sur les caractéristiques biogéochimiques des sols en zone soudanienne du Burkina Faso' Description:'Les feux de brousse dont les effets dépendent aussi bien de leurs intensités ainsi que de leur saison d’occurrence, sont considérés comme une perturbation écologique majeure des écosystèmes savanicoles. L’objectif général de cette étude est de générer des connaissances sur l’effet de la quantité du combustible et de la saison du feu sur le comportement du feu et les propriétés chimiques et biologiques du sol afin d’aider à la gestion des écosystèmes savanicoles. Les travaux de recherches ont été menés dans un dispositif expérimental couvrant 11,16 ha et installé dans la savane sud-soudanienne boisée de la forêt classée de Dindéresso (11° 13’ 59, 88’’ latitude nord and 4° 25’ 59, 59’’ longitude ouest). Sur la base de la quantité du combustible, trois traitements (Combustible réduit correspondant à la parcelle dont la quantité de combustible a été réduite de moitié; Combustible Normal pour la parcelle dont le combustible initial a été coupé et réparti de façon uniforme et le Combustible augmenté correspondant à la parcelle où la seconde moitié soustraite en CR a été rajoutée au combustible initial) ont été considérés en plus du témoin dans les deux régimes de feu. Les résultats n’ont montré aucune différence significative dans la vitesse de progression et dans l’intensité du feu. Cependant, un plus grand enrichissement en éléments nutritifs des couches superficielles a été observé. Le feu tardif a eu un effet plus néfaste sur les propriétés chimiques du sol que le feu précoce. L’effet immédiat du feu sur la macrofaune a été la réduction considérable du nombre d’individus. Toutefois, la quantité du combustiblen’a affecté ni la composition ni l’abondance de la macrofaune. Les enseignements tirés de l’étude sur le comportement du feu ainsi que les résultats sur l’effet du feu sur les paramètres chimiques et biologiques du sol peuvent donc aider dans la gestion des formations boisées en zone soudanienne mais des investigations doivent cependant se poursuivre pour affiner les connaissances à l’échelle du paysage.' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Comportement du feu; cycle des nutriments; macrofaune du sol; perturbation écologique; propriétés du sol; savane+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Rôle des feux de savane sur les caractéristiques biogéochimiques des sols en zone soudanienne du Burkina Faso' Description:'Les feux de brousse dont les effets dépendent aussi bien de leurs intensités ainsi que de leur saison d’occurrence, sont considérés comme une perturbation écologique majeure des écosystèmes savanicoles. L’objectif général de cette étude est de générer des connaissances sur l’effet de la quantité du combustible et de la saison du feu sur le comportement du feu et les propriétés chimiques et biologiques du sol afin d’aider à la gestion des écosystèmes savanicoles. Les travaux de recherches ont été menés dans un dispositif expérimental couvrant 11,16 ha et installé dans la savane sud-soudanienne boisée de la forêt classée de Dindéresso (11° 13’ 59, 88’’ latitude nord and 4° 25’ 59, 59’’ longitude ouest). Sur la base de la quantité du combustible, trois traitements (Combustible réduit correspondant à la parcelle dont la quantité de combustible a été réduite de moitié; Combustible Normal pour la parcelle dont le combustible initial a été coupé et réparti de façon uniforme et le Combustible augmenté correspondant à la parcelle où la seconde moitié soustraite en CR a été rajoutée au combustible initial) ont été considérés en plus du témoin dans les deux régimes de feu. Les résultats n’ont montré aucune différence significative dans la vitesse de progression et dans l’intensité du feu. Cependant, un plus grand enrichissement en éléments nutritifs des couches superficielles a été observé. Le feu tardif a eu un effet plus néfaste sur les propriétés chimiques du sol que le feu précoce. L’effet immédiat du feu sur la macrofaune a été la réduction considérable du nombre d’individus. Toutefois, la quantité du combustiblen’a affecté ni la composition ni l’abondance de la macrofaune. Les enseignements tirés de l’étude sur le comportement du feu ainsi que les résultats sur l’effet du feu sur les paramètres chimiques et biologiques du sol peuvent donc aider dans la gestion des formations boisées en zone soudanienne mais des investigations doivent cependant se poursuivre pour affiner les connaissances à l’échelle du paysage.' Subject:'Agricultural Sciences; Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Les feux de brousse dont les effets dépendent aussi bien de leurs intensités ainsi que de leur saison d’occurrence, sont considérés comme une perturbation écologique majeure des écosystèmes savanicoles. L’objectif général de cette étude est de générer des connaissances sur l’effet de la quantité du combustible et de la saison du feu sur le comportement du feu et les propriétés chimiques et biologiques du sol afin d’aider à la gestion des écosystèmes savanicoles. Les travaux de recherches ont été menés dans un dispositif expérimental couvrant 11,16 ha et installé dans la savane sud-soudanienne boisée de la forêt classée de Dindéresso (11° 13’ 59, 88’’ latitude nord and 4° 25’ 59, 59’’ longitude ouest). Sur la base de la quantité du combustible, trois traitements (Combustible réduit correspondant à la parcelle dont la quantité de combustible a été réduite de moitié; Combustible Normal pour la parcelle dont le combustible initial a été coupé et réparti de façon uniforme et le Combustible augmenté correspondant à la parcelle où la seconde moitié soustraite en CR a été rajoutée au combustible initial) ont été considérés en plus du témoin dans les deux régimes de feu. Les résultats n’ont montré aucune différence significative dans la vitesse de progression et dans l’intensité du feu. Cependant, un plus grand enrichissement en éléments nutritifs des couches superficielles a été observé. Le feu tardif a eu un effet plus néfaste sur les propriétés chimiques du sol que le feu précoce. L’effet immédiat du feu sur la macrofaune a été la réduction considérable du nombre d’individus. Toutefois, la quantité du combustiblen’a affecté ni la composition ni l’abondance de la macrofaune. Les enseignements tirés de l’étude sur le comportement du feu ainsi que les résultats sur l’effet du feu sur les paramètres chimiques et biologiques du sol peuvent donc aider dans la gestion des formations boisées en zone soudanienne mais des investigations doivent cependant se poursuivre pour affiner les connaissances à l’échelle du paysage.","Subject":" Chemistry","Keywords":"Comportement du feu; cycle des nutriments; macrofaune du sol; perturbation écologique; propriétés du sol; savane"},{"pid":"doi:10.34725/DVN/XJJBB2","Title":"Morphological Characterization of Adansonia digitata Seed, 2016","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Morphological Characterization of Adansonia digitata Seed, 2016' Description:'Adansonia digitata seed characterization' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {seed,morphology, characterization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Morphological Characterization of Adansonia digitata Seed, 2016' Description:'Adansonia digitata seed characterization' Subject:'Agricultural Sciences; Chemistry; Earth and Environmental Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Adansonia digitata seed characterization","Subject":" Chemistry","Keywords":"seed,morphology, characterization"},{"pid":"doi:10.34894/BLMCTL","Title":"Dataset: Spherulitic and rotational crystal growth of Quartz thin films","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset: Spherulitic and rotational crystal growth of Quartz thin films' Description:'To obtain crystalline thin films of alpha-Quartz represents a challenge due to the tendency for the material towards spherulitic growth. Thus, understanding the mechanisms that give rise to spherulitic growth can help regulate the growth process. Here the spherulitic type of 2D crystal growth in thin amorphous Quartz films was analyzed by electron back-scatter diffraction (EBSD). EBSD was used to measure the size, orientation, and rotation of crystallographic grains in polycrystalline SiO2 and GeO2 thin films with high spatial resolution. Individual spherulitic Quartz crystal colonies contain primary and secondary single crystal fibers, which grow radially from the colony center towards its edge, and fill a near circular crystalline area completely. During their growth, individual fibers form so-called rotational crystals, when some lattice planes are continuously bent. The directions of the lattice rotation axes in the fibers were determined by an enhanced analysis of EBSD data. A possible mechanism, including the generation of the particular type of dislocation(s), is suggested.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Zernike Institute for Advanced Materials+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset: Spherulitic and rotational crystal growth of Quartz thin films' Description:'To obtain crystalline thin films of alpha-Quartz represents a challenge due to the tendency for the material towards spherulitic growth. Thus, understanding the mechanisms that give rise to spherulitic growth can help regulate the growth process. Here the spherulitic type of 2D crystal growth in thin amorphous Quartz films was analyzed by electron back-scatter diffraction (EBSD). EBSD was used to measure the size, orientation, and rotation of crystallographic grains in polycrystalline SiO2 and GeO2 thin films with high spatial resolution. Individual spherulitic Quartz crystal colonies contain primary and secondary single crystal fibers, which grow radially from the colony center towards its edge, and fill a near circular crystalline area completely. During their growth, individual fibers form so-called rotational crystals, when some lattice planes are continuously bent. The directions of the lattice rotation axes in the fibers were determined by an enhanced analysis of EBSD data. A possible mechanism, including the generation of the particular type of dislocation(s), is suggested.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"To obtain crystalline thin films of alpha-Quartz represents a challenge due to the tendency for the material towards spherulitic growth. Thus, understanding the mechanisms that give rise to spherulitic growth can help regulate the growth process. Here the spherulitic type of 2D crystal growth in thin amorphous Quartz films was analyzed by electron back-scatter diffraction (EBSD). EBSD was used to measure the size, orientation, and rotation of crystallographic grains in polycrystalline SiO2 and GeO2 thin films with high spatial resolution. Individual spherulitic Quartz crystal colonies contain primary and secondary single crystal fibers, which grow radially from the colony center towards its edge, and fill a near circular crystalline area completely. During their growth, individual fibers form so-called rotational crystals, when some lattice planes are continuously bent. The directions of the lattice rotation axes in the fibers were determined by an enhanced analysis of EBSD data. A possible mechanism, including the generation of the particular type of dislocation(s), is suggested.","Subject":"Chemistry","Keywords":"Zernike Institute for Advanced Materials"},{"pid":"doi:10.34894/EHULR5","Title":"Dataset: Thiol-free Self-assembled Oligoethylene Glycols Enable Robust Air-stable Molecular Electronics","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset: Thiol-free Self-assembled Oligoethylene Glycols Enable Robust Air-stable Molecular Electronics' Description:'Self-assembled monolayers (SAMs) are widely used to engineer the surface properties of metals. The relatively simple and versatile chemistry of metal-thiolate bonds makes thiolate SAMs the preferred option in various applications, yet fragility and tendency to oxidize in air limit their long-term use. Here we report the formation of thiol-free self-assembled mono- and bi-layers of glycol ethers, which bind to the surface of coinage metals through the spontaneous chemisorption of glycol-ether-functionalized fullerenes. As-prepared assemblies are bilayers presenting fullerene cages at both the substrate and ambient interface. Subsequent exposure to functionalized glycol ethers displaces the topmost layer of glycol-ether-functionalized fullerenes; the resulting assemblies expose functional groups to the ambient interface. These layers exhibit the key properties of thiolate SAMs, yet they are stable to ambient conditions for several weeks, as shown by the performance of tunneling junctions formed from SAMs of alkyl-functionalized glycol ethers. Glycol-ether-functionalized spiropyrans incorporated into mixed monolayers leads to reversible, light-driven conductance switching. Self-assemblies of glycol ethers are drop-in replacements for thiolate SAMs that retain all of their useful properties while avoiding the drawbacks of metal-thiolate bonds.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {EGaIn; fullerenes; molecular electronics; Self-assembled monolayers; tunneling junctions+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset: Thiol-free Self-assembled Oligoethylene Glycols Enable Robust Air-stable Molecular Electronics' Description:'Self-assembled monolayers (SAMs) are widely used to engineer the surface properties of metals. The relatively simple and versatile chemistry of metal-thiolate bonds makes thiolate SAMs the preferred option in various applications, yet fragility and tendency to oxidize in air limit their long-term use. Here we report the formation of thiol-free self-assembled mono- and bi-layers of glycol ethers, which bind to the surface of coinage metals through the spontaneous chemisorption of glycol-ether-functionalized fullerenes. As-prepared assemblies are bilayers presenting fullerene cages at both the substrate and ambient interface. Subsequent exposure to functionalized glycol ethers displaces the topmost layer of glycol-ether-functionalized fullerenes; the resulting assemblies expose functional groups to the ambient interface. These layers exhibit the key properties of thiolate SAMs, yet they are stable to ambient conditions for several weeks, as shown by the performance of tunneling junctions formed from SAMs of alkyl-functionalized glycol ethers. Glycol-ether-functionalized spiropyrans incorporated into mixed monolayers leads to reversible, light-driven conductance switching. Self-assemblies of glycol ethers are drop-in replacements for thiolate SAMs that retain all of their useful properties while avoiding the drawbacks of metal-thiolate bonds.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Self-assembled monolayers (SAMs) are widely used to engineer the surface properties of metals. The relatively simple and versatile chemistry of metal-thiolate bonds makes thiolate SAMs the preferred option in various applications, yet fragility and tendency to oxidize in air limit their long-term use. Here we report the formation of thiol-free self-assembled mono- and bi-layers of glycol ethers, which bind to the surface of coinage metals through the spontaneous chemisorption of glycol-ether-functionalized fullerenes. As-prepared assemblies are bilayers presenting fullerene cages at both the substrate and ambient interface. Subsequent exposure to functionalized glycol ethers displaces the topmost layer of glycol-ether-functionalized fullerenes; the resulting assemblies expose functional groups to the ambient interface. These layers exhibit the key properties of thiolate SAMs, yet they are stable to ambient conditions for several weeks, as shown by the performance of tunneling junctions formed from SAMs of alkyl-functionalized glycol ethers. Glycol-ether-functionalized spiropyrans incorporated into mixed monolayers leads to reversible, light-driven conductance switching. Self-assemblies of glycol ethers are drop-in replacements for thiolate SAMs that retain all of their useful properties while avoiding the drawbacks of metal-thiolate bonds.","Subject":"Chemistry","Keywords":"EGaIn; fullerenes; molecular electronics; Self-assembled monolayers; tunneling junctions"},{"pid":"doi:10.34894/EIOXPT","Title":"Dataset: Reversible oxygen migration and phase transitions in hafnia-based ferroelectric devices","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset: Reversible oxygen migration and phase transitions in hafnia-based ferroelectric devices' Description:'Unconventional ferroelectricity, robust at reduced nanoscale sizes, exhibited by hafnia-based thin-films presents tremendous opportunities in nanoelectronics. However, the exact nature of polarization switching remains controversial. Here, we investigate epitaxial Hf0.5Zr0.5O2(HZO) capacitors, interfaced with oxygen conducting metals (La0.67Sr0.33MnO3, LSMO) as electrodes, using atomic resolution electron microscopy while in situelectrical biasing. By direct oxygen imaging, we observe reversible oxygen vacancy migration from the bottom to the top electrode through HZO and reveal associated reversible structural phase transitions in the epitaxial LSMO and HZO layers. We follow the phase transition pathways at the atomic scale and identify that these mechanisms are at play both in tunnel junctions and ferroelectric capacitors switched with sub-millisecond pulses. Our results unmistakably demonstrate that oxygen voltammetry and polarization switching are intertwined in these materials.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ferroelectricity; Nanoelectronics; Oxygen imaging+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset: Reversible oxygen migration and phase transitions in hafnia-based ferroelectric devices' Description:'Unconventional ferroelectricity, robust at reduced nanoscale sizes, exhibited by hafnia-based thin-films presents tremendous opportunities in nanoelectronics. However, the exact nature of polarization switching remains controversial. Here, we investigate epitaxial Hf0.5Zr0.5O2(HZO) capacitors, interfaced with oxygen conducting metals (La0.67Sr0.33MnO3, LSMO) as electrodes, using atomic resolution electron microscopy while in situelectrical biasing. By direct oxygen imaging, we observe reversible oxygen vacancy migration from the bottom to the top electrode through HZO and reveal associated reversible structural phase transitions in the epitaxial LSMO and HZO layers. We follow the phase transition pathways at the atomic scale and identify that these mechanisms are at play both in tunnel junctions and ferroelectric capacitors switched with sub-millisecond pulses. Our results unmistakably demonstrate that oxygen voltammetry and polarization switching are intertwined in these materials.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Unconventional ferroelectricity, robust at reduced nanoscale sizes, exhibited by hafnia-based thin-films presents tremendous opportunities in nanoelectronics. However, the exact nature of polarization switching remains controversial. Here, we investigate epitaxial Hf0.5Zr0.5O2(HZO) capacitors, interfaced with oxygen conducting metals (La0.67Sr0.33MnO3, LSMO) as electrodes, using atomic resolution electron microscopy while in situelectrical biasing. By direct oxygen imaging, we observe reversible oxygen vacancy migration from the bottom to the top electrode through HZO and reveal associated reversible structural phase transitions in the epitaxial LSMO and HZO layers. We follow the phase transition pathways at the atomic scale and identify that these mechanisms are at play both in tunnel junctions and ferroelectric capacitors switched with sub-millisecond pulses. Our results unmistakably demonstrate that oxygen voltammetry and polarization switching are intertwined in these materials.","Subject":"Chemistry","Keywords":"Ferroelectricity; Nanoelectronics; Oxygen imaging"},{"pid":"doi:10.34894/IE5GCH","Title":"PHREEQC Databases YMP and Soltherm","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'PHREEQC Databases YMP and Soltherm' Description:'Databases YMP (data0.YMP.R5) and Soltherm (Soltherm H06, latest update June 2016), converted to a format suitable for thermodynamic modelling software PHREEQC. Converted set only - credit of the original databases go to the creators as mentioned in Alsemgeest et al, 2021.Including Source code to convert from TOUGHREACT/GeoT format to PHREEQC' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {PHREEQC; Soltherm; YMP; Yucca Mountain Project+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'PHREEQC Databases YMP and Soltherm' Description:'Databases YMP (data0.YMP.R5) and Soltherm (Soltherm H06, latest update June 2016), converted to a format suitable for thermodynamic modelling software PHREEQC. Converted set only - credit of the original databases go to the creators as mentioned in Alsemgeest et al, 2021.Including Source code to convert from TOUGHREACT/GeoT format to PHREEQC' Subject:'Chemistry; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Databases YMP (data0.YMP.R5) and Soltherm (Soltherm H06, latest update June 2016), converted to a format suitable for thermodynamic modelling software PHREEQC. Converted set only - credit of the original databases go to the creators as mentioned in Alsemgeest et al, 2021.Including Source code to convert from TOUGHREACT/GeoT format to PHREEQC","Subject":"Chemistry","Keywords":"PHREEQC; Soltherm; YMP; Yucca Mountain Project"},{"pid":"doi:10.34894/PH7AQX","Title":"Imaging atomic motion of light elements in 2D materials with 30 kV electron microscopy","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Imaging atomic motion of light elements in 2D materials with 30 kV electron microscopy' Description:'This dataset contains part of the experimental and simulated 30 kV scanning transmission electron microscopy (STEM) images of 2D WS2, using in particular simultaneously integrated differential phase contrast (iDPC)-STEM and annular dark-field (ADF)-STEM.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {scanning transmission electron microscopy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Imaging atomic motion of light elements in 2D materials with 30 kV electron microscopy' Description:'This dataset contains part of the experimental and simulated 30 kV scanning transmission electron microscopy (STEM) images of 2D WS2, using in particular simultaneously integrated differential phase contrast (iDPC)-STEM and annular dark-field (ADF)-STEM.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains part of the experimental and simulated 30 kV scanning transmission electron microscopy (STEM) images of 2D WS2, using in particular simultaneously integrated differential phase contrast (iDPC)-STEM and annular dark-field (ADF)-STEM.","Subject":"Chemistry","Keywords":"scanning transmission electron microscopy"},{"pid":"doi:10.34894/PMAEOE","Title":"Dataset: From hidden metal-insulator transition to Planckian-like dissipation by tuning the oxygen content in a nickelate","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset: From hidden metal-insulator transition to Planckian-like dissipation by tuning the oxygen content in a nickelate' Description:'Heavily oxygen deficient NdNiO3 (NNO) films, which are insulating due to electron localization, contain pristine regions that undergo a hidden metal-insulator transition. Increasing oxygen content increases the connectivity of the metallic regions and the metal-insulator transition is first revealed, upon reaching the percolation threshold, by the presence of hysteresis. Only upon further oxygenation is the global metallic state (with a change in the resistivity slope) eventually achieved. It is shown that sufficient oxygenation leads to linear temperature dependence of resistivity in the metallic state, with a scattering rate directly proportional to temperature. These results could provide experimental support for recent theoretical predictions of disorder in a two-fluid model as a possible origin of Planckian dissipation.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Metal-insulator transition; Percolation; Planckian dissipation; Rare-earth nickelates+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset: From hidden metal-insulator transition to Planckian-like dissipation by tuning the oxygen content in a nickelate' Description:'Heavily oxygen deficient NdNiO3 (NNO) films, which are insulating due to electron localization, contain pristine regions that undergo a hidden metal-insulator transition. Increasing oxygen content increases the connectivity of the metallic regions and the metal-insulator transition is first revealed, upon reaching the percolation threshold, by the presence of hysteresis. Only upon further oxygenation is the global metallic state (with a change in the resistivity slope) eventually achieved. It is shown that sufficient oxygenation leads to linear temperature dependence of resistivity in the metallic state, with a scattering rate directly proportional to temperature. These results could provide experimental support for recent theoretical predictions of disorder in a two-fluid model as a possible origin of Planckian dissipation.' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Heavily oxygen deficient NdNiO3 (NNO) films, which are insulating due to electron localization, contain pristine regions that undergo a hidden metal-insulator transition. Increasing oxygen content increases the connectivity of the metallic regions and the metal-insulator transition is first revealed, upon reaching the percolation threshold, by the presence of hysteresis. Only upon further oxygenation is the global metallic state (with a change in the resistivity slope) eventually achieved. It is shown that sufficient oxygenation leads to linear temperature dependence of resistivity in the metallic state, with a scattering rate directly proportional to temperature. These results could provide experimental support for recent theoretical predictions of disorder in a two-fluid model as a possible origin of Planckian dissipation.","Subject":"Chemistry","Keywords":"Metal-insulator transition; Percolation; Planckian dissipation; Rare-earth nickelates"},{"pid":"doi:10.7910/DVN/0DLSDP","Title":"CHNOPS2743-HARMONIC","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CHNOPS2743-HARMONIC' Description:'In this work, we have produced approximate spectral data for a large number of molecules; specifically, the CHNOPS2743-HARMONIC dataset with predicted vibrational (infrared) frequencies and intensities for 2743 small molecules identified as potential biosignatures with an estimated accuracy of 10cm-1 (0.01-0.10 microns depending on spectral region). These approximate spectral data can be useful to identify potential molecular candidates to unknown spectral features in exoplanet atmosphere spectra.' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {infrared: planetary systems; molecular data; opacity; planets and satellites: atmospheres+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CHNOPS2743-HARMONIC' Description:'In this work, we have produced approximate spectral data for a large number of molecules; specifically, the CHNOPS2743-HARMONIC dataset with predicted vibrational (infrared) frequencies and intensities for 2743 small molecules identified as potential biosignatures with an estimated accuracy of 10cm-1 (0.01-0.10 microns depending on spectral region). These approximate spectral data can be useful to identify potential molecular candidates to unknown spectral features in exoplanet atmosphere spectra.' Subject:'Astronomy and Astrophysics; Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In this work, we have produced approximate spectral data for a large number of molecules; specifically, the CHNOPS2743-HARMONIC dataset with predicted vibrational (infrared) frequencies and intensities for 2743 small molecules identified as potential biosignatures with an estimated accuracy of 10cm-1 (0.01-0.10 microns depending on spectral region). These approximate spectral data can be useful to identify potential molecular candidates to unknown spectral features in exoplanet atmosphere spectra.","Subject":" Chemistry","Keywords":"infrared: planetary systems; molecular data; opacity; planets and satellites: atmospheres"},{"pid":"doi:10.7910/DVN/0VXADT","Title":"Thyroid Receptor Beta - RDKit Descriptors","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Thyroid Receptor Beta - RDKit Descriptors' Description:'Dataset containing a Flame QSAR model for predicting Androgen Receptor activation. The model is described in the metadata.txt file. The tr_beta_rdkit_v000004.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Machine Learning; QSAR model; Toxicology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Thyroid Receptor Beta - RDKit Descriptors' Description:'Dataset containing a Flame QSAR model for predicting Androgen Receptor activation. The model is described in the metadata.txt file. The tr_beta_rdkit_v000004.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.' Subject:'Chemistry; Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset containing a Flame QSAR model for predicting Androgen Receptor activation. The model is described in the metadata.txt file. The tr_beta_rdkit_v000004.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.","Subject":"Chemistry","Keywords":"Machine Learning; QSAR model; Toxicology"},{"pid":"doi:10.7910/DVN/13NPRW","Title":"304_TrifoDesign","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'304_TrifoDesign' Description:'NMR data for Preparation of DESIGNER extracts of red Clover (Trifolium pratense L.) by centrifugal partition chromatography' Subject:' Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CPC, Red Clover, Trifolium pratense+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'304_TrifoDesign' Description:'NMR data for Preparation of DESIGNER extracts of red Clover (Trifolium pratense L.) by centrifugal partition chromatography' Subject:'Agricultural Sciences; Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"NMR data for Preparation of DESIGNER extracts of red Clover (Trifolium pratense L.) by centrifugal partition chromatography","Subject":" Chemistry","Keywords":"CPC, Red Clover, Trifolium pratense"},{"pid":"doi:10.7910/DVN/1ASCQG","Title":"Replication Data for: 'Exploring proton pair motion away from the global proton-tuple energy minimum in yttrium-doped barium zirconate'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Exploring proton pair motion away from the global proton-tuple energy minimum in yttrium-doped barium zirconate'' Description:'Structural data for figures in: Yiqing Pan, Minh Tam Hoang, Sanaa Mansoor, Maria Alexandra Gomez, 'Exploring proton pair motion away from the global proton-tuple energy minimum in yttrium-doped barium zirconate,' Submitted to Inorganics' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Proton Tuples in yttrium doped barium zirconate+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'Exploring proton pair motion away from the global proton-tuple energy minimum in yttrium-doped barium zirconate'' Description:'Structural data for figures in: Yiqing Pan, Minh Tam Hoang, Sanaa Mansoor, Maria Alexandra Gomez, 'Exploring proton pair motion away from the global proton-tuple energy minimum in yttrium-doped barium zirconate,' Submitted to Inorganics' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Structural data for figures in: Yiqing Pan, Minh Tam Hoang, Sanaa Mansoor, Maria Alexandra Gomez, 'Exploring proton pair motion away from the global proton-tuple energy minimum in yttrium-doped barium zirconate,' Submitted to Inorganics","Subject":"Chemistry","Keywords":"Proton Tuples in yttrium doped barium zirconate"},{"pid":"doi:10.7910/DVN/26EUV0","Title":"Estrogen Receptor Beta - Morgan Fingerprints","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Estrogen Receptor Beta - Morgan Fingerprints' Description:'Dataset containing a Flame QSAR model for predicting Estrogen Receptor Beta activation. The model is described in the metadata.txt file. The er_beta_FPs_v000002.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Machine Learning; QSAR model; Toxicology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Estrogen Receptor Beta - Morgan Fingerprints' Description:'Dataset containing a Flame QSAR model for predicting Estrogen Receptor Beta activation. The model is described in the metadata.txt file. The er_beta_FPs_v000002.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.' Subject:'Chemistry; Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset containing a Flame QSAR model for predicting Estrogen Receptor Beta activation. The model is described in the metadata.txt file. The er_beta_FPs_v000002.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.","Subject":"Chemistry","Keywords":"Machine Learning; QSAR model; Toxicology"},{"pid":"doi:10.7910/DVN/2APUI4","Title":"PyMOL Session File X-ray crystal structures HK620TSP","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'PyMOL Session File X-ray crystal structures HK620TSP' Description:'This PyMOL session file contains all crystal structures of HK620TSP as comprehensive overlay to easily inspect the glycan binding site in different mutational backgrounds.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {tailspike protein+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'PyMOL Session File X-ray crystal structures HK620TSP' Description:'This PyMOL session file contains all crystal structures of HK620TSP as comprehensive overlay to easily inspect the glycan binding site in different mutational backgrounds.' Subject:'Chemistry; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This PyMOL session file contains all crystal structures of HK620TSP as comprehensive overlay to easily inspect the glycan binding site in different mutational backgrounds.","Subject":"Chemistry","Keywords":"tailspike protein"},{"pid":"doi:10.7910/DVN/2HA4KV","Title":"(iLMO4) pAAV-hsyn-GLucM23-iChloC-EYFP","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'(iLMO4) pAAV-hsyn-GLucM23-iChloC-EYFP' Description:'This construct features a fusion protein of Gaussia luciferase variant M23, improved slowChloC anion conducting ChR, and enhanced yellow fluorescent protein (YFP) for bioluminescent optogenetics (BL-OG).First described in Park et al. J Neurosci Res 2017.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bioluminescence; Coelenterazine; Gaussia princeps (variant); Optogenetics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'(iLMO4) pAAV-hsyn-GLucM23-iChloC-EYFP' Description:'This construct features a fusion protein of Gaussia luciferase variant M23, improved slowChloC anion conducting ChR, and enhanced yellow fluorescent protein (YFP) for bioluminescent optogenetics (BL-OG).First described in Park et al. J Neurosci Res 2017.' Subject:'Chemistry; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This construct features a fusion protein of Gaussia luciferase variant M23, improved slowChloC anion conducting ChR, and enhanced yellow fluorescent protein (YFP) for bioluminescent optogenetics (BL-OG).First described in Park et al. J Neurosci Res 2017.","Subject":"Chemistry","Keywords":"Bioluminescence; Coelenterazine; Gaussia princeps (variant); Optogenetics"},{"pid":"doi:10.7910/DVN/392BI5","Title":"Essential characteristics of exothermic reactions on catalyst surfaces with improved flame stability and combustion characteristics","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Essential characteristics of exothermic reactions on catalyst surfaces with improved flame stability and combustion characteristics' Description:'A plurality of honeycomb catalyst bodies is employed in a reaction zone in a spaced-apart relationship. The distance between these catalyst bodies may vary over a wide range, and when more than two catalyst bodies are employed spaced-apart in a reaction zone, the distance between the catalyst bodies may vary. Sufficient space is provided between at least two, and preferably between each, of the catalyst bodies to enable commingling of the gases emanating from one catalyst body prior to passing through the next downstream catalyst body. Desirably, the velocity of the gases through the space between the catalyst bodies is turbulent so as to provide a more effective admixing of the reacted and unreacted gases. The spaces between the catalyst bodies may be referred to as open spaces, and thus there is no obstruction to the mixing between the bodies. The space between each catalyst required to obtain the desired mixing or commingling is dependent upon several variables such as the cross-sectional area of the flowthrough paths, the velocity of the gases, and the like. Preferably, the catalyst bodies are spaced apart at least the length of the flowthrough paths through the immediate upstream catalyst. The honeycomb catalyst bodies may be arranged such that the flowthrough paths of one catalyst body can be in or out of alignment with those of the next downstream catalyst body. When the flowthrough paths of adjacent honeycomb catalyst bodies are aligned, a greater distance between the catalyst bodies may be advantageous to provide the desired degree of mixing of the reactants and catalytically reacted products than the distance employed between catalyst bodies whose flowthrough paths are not aligned. The desired degree of commingling of these gases in the space between catalyst bodies may vary over a wide range. The degree of mixing should, however, be sufficient to ensure that the composition of the gases entering flowthrough paths of the next adjacent catalyst body does not vary substantially. In this manner, essentially unreacted gases which exit from a deactivated flowthrough path of a first catalyst body will commingle with at least partially reacted gases emitted from adjacent, catalytically-active flowthrough paths. The admixing of the gases provides a more or less uniform composition of gas at any point entering the next adjacent catalyst body. Excessively high concentrations or low concentrations of any component in the gas entering the next adjacent catalyst body will thus be avoided. By maintaining a substantially constant concentration of gases entering each catalyst body, several advantages are realized. The reactions can more precisely be controlled with respect to degree of completion, reaction conditions, response to change in reaction conditions, and the like. Furthermore, the method enables, if desired, a higher degree of completion of the catalytic reaction to be achieved than if a single catalyst body is employed having essentially the same overall volume.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Concentrations; Conditions; Compositions; Reactions; Surfaces; Stability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Essential characteristics of exothermic reactions on catalyst surfaces with improved flame stability and combustion characteristics' Description:'A plurality of honeycomb catalyst bodies is employed in a reaction zone in a spaced-apart relationship. The distance between these catalyst bodies may vary over a wide range, and when more than two catalyst bodies are employed spaced-apart in a reaction zone, the distance between the catalyst bodies may vary. Sufficient space is provided between at least two, and preferably between each, of the catalyst bodies to enable commingling of the gases emanating from one catalyst body prior to passing through the next downstream catalyst body. Desirably, the velocity of the gases through the space between the catalyst bodies is turbulent so as to provide a more effective admixing of the reacted and unreacted gases. The spaces between the catalyst bodies may be referred to as open spaces, and thus there is no obstruction to the mixing between the bodies. The space between each catalyst required to obtain the desired mixing or commingling is dependent upon several variables such as the cross-sectional area of the flowthrough paths, the velocity of the gases, and the like. Preferably, the catalyst bodies are spaced apart at least the length of the flowthrough paths through the immediate upstream catalyst. The honeycomb catalyst bodies may be arranged such that the flowthrough paths of one catalyst body can be in or out of alignment with those of the next downstream catalyst body. When the flowthrough paths of adjacent honeycomb catalyst bodies are aligned, a greater distance between the catalyst bodies may be advantageous to provide the desired degree of mixing of the reactants and catalytically reacted products than the distance employed between catalyst bodies whose flowthrough paths are not aligned. The desired degree of commingling of these gases in the space between catalyst bodies may vary over a wide range. The degree of mixing should, however, be sufficient to ensure that the composition of the gases entering flowthrough paths of the next adjacent catalyst body does not vary substantially. In this manner, essentially unreacted gases which exit from a deactivated flowthrough path of a first catalyst body will commingle with at least partially reacted gases emitted from adjacent, catalytically-active flowthrough paths. The admixing of the gases provides a more or less uniform composition of gas at any point entering the next adjacent catalyst body. Excessively high concentrations or low concentrations of any component in the gas entering the next adjacent catalyst body will thus be avoided. By maintaining a substantially constant concentration of gases entering each catalyst body, several advantages are realized. The reactions can more precisely be controlled with respect to degree of completion, reaction conditions, response to change in reaction conditions, and the like. Furthermore, the method enables, if desired, a higher degree of completion of the catalytic reaction to be achieved than if a single catalyst body is employed having essentially the same overall volume.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A plurality of honeycomb catalyst bodies is employed in a reaction zone in a spaced-apart relationship. The distance between these catalyst bodies may vary over a wide range, and when more than two catalyst bodies are employed spaced-apart in a reaction zone, the distance between the catalyst bodies may vary. Sufficient space is provided between at least two, and preferably between each, of the catalyst bodies to enable commingling of the gases emanating from one catalyst body prior to passing through the next downstream catalyst body. Desirably, the velocity of the gases through the space between the catalyst bodies is turbulent so as to provide a more effective admixing of the reacted and unreacted gases. The spaces between the catalyst bodies may be referred to as open spaces, and thus there is no obstruction to the mixing between the bodies. The space between each catalyst required to obtain the desired mixing or commingling is dependent upon several variables such as the cross-sectional area of the flowthrough paths, the velocity of the gases, and the like. Preferably, the catalyst bodies are spaced apart at least the length of the flowthrough paths through the immediate upstream catalyst. The honeycomb catalyst bodies may be arranged such that the flowthrough paths of one catalyst body can be in or out of alignment with those of the next downstream catalyst body. When the flowthrough paths of adjacent honeycomb catalyst bodies are aligned, a greater distance between the catalyst bodies may be advantageous to provide the desired degree of mixing of the reactants and catalytically reacted products than the distance employed between catalyst bodies whose flowthrough paths are not aligned. The desired degree of commingling of these gases in the space between catalyst bodies may vary over a wide range. The degree of mixing should, however, be sufficient to ensure that the composition of the gases entering flowthrough paths of the next adjacent catalyst body does not vary substantially. In this manner, essentially unreacted gases which exit from a deactivated flowthrough path of a first catalyst body will commingle with at least partially reacted gases emitted from adjacent, catalytically-active flowthrough paths. The admixing of the gases provides a more or less uniform composition of gas at any point entering the next adjacent catalyst body. Excessively high concentrations or low concentrations of any component in the gas entering the next adjacent catalyst body will thus be avoided. By maintaining a substantially constant concentration of gases entering each catalyst body, several advantages are realized. The reactions can more precisely be controlled with respect to degree of completion, reaction conditions, response to change in reaction conditions, and the like. Furthermore, the method enables, if desired, a higher degree of completion of the catalytic reaction to be achieved than if a single catalyst body is employed having essentially the same overall volume.","Subject":"Chemistry","Keywords":"Concentrations; Conditions; Compositions; Reactions; Surfaces; Stability"},{"pid":"doi:10.7910/DVN/3DPZ2G","Title":"MD simulation of pol III beta from E. coli - Open model type 3","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MD simulation of pol III beta from E. coli - Open model type 3' Description:'MD trajectory of pol III beta from E. coli is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {DNA clamp; molecular dynamics; Pol III beta+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MD simulation of pol III beta from E. coli - Open model type 3' Description:'MD trajectory of pol III beta from E. coli is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' Subject:'Chemistry; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"MD trajectory of pol III beta from E. coli is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).","Subject":"Chemistry","Keywords":"DNA clamp; molecular dynamics; Pol III beta"},{"pid":"doi:10.7910/DVN/4BSFIT","Title":"Choules_Mary_Dissertation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Choules_Mary_Dissertation' Description:'All raw data associated with the dissertation 'Methodologies for the Discovery and Quality Control of Therapeutic Peptides'' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anti-tuberculosis; Peptide+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Choules_Mary_Dissertation' Description:'All raw data associated with the dissertation 'Methodologies for the Discovery and Quality Control of Therapeutic Peptides'' Subject:'Chemistry; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"All raw data associated with the dissertation 'Methodologies for the Discovery and Quality Control of Therapeutic Peptides'","Subject":"Chemistry","Keywords":"Anti-tuberculosis; Peptide"},{"pid":"doi:10.7910/DVN/4BWOYK","Title":"Replication Data for: ANUVUD, calculation of unit geometry and NBO analysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ANUVUD, calculation of unit geometry and NBO analysis' Description:'Another entry is ANUVUD[3] with a crystal structure (data DOI: 10.5517/ccdc.csd.cc24zxdg) shown below and CN and CO lengths of 1.391 and 1.559Å, which in this case ARE reasonably replicated by calculation (1.402, 1.499). This effect is promoted by the good leaving group ability of the carboxylate anion and the antiperiplanar orientation of the nitrogen lone pair with respect to the C-O bond, E(2)=35.2 kcal/mol (DOI: 10.14469/hpc/8807)' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {-1705.490787; InChI=1S/C25H39NO9/c1-6-26-20-24-13-9-12-14(31-2)10-23(29,16(13)17(12)33-4)25(26,30)19(34-5)18(24)22(11-27,21(28)35-20)8-7-15(24)32-3/h12-20,27,29-30H,6-11H2,1-5H3/t12-,13-,14+,15+,16-,17+,18-,19+,20+,22+,23-,24+,25+/m1/s1; VELNVPXNOKVVTC-VJKZSTDTSA-N+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ANUVUD, calculation of unit geometry and NBO analysis' Description:'Another entry is ANUVUD[3] with a crystal structure (data DOI: 10.5517/ccdc.csd.cc24zxdg) shown below and CN and CO lengths of 1.391 and 1.559Å, which in this case ARE reasonably replicated by calculation (1.402, 1.499). This effect is promoted by the good leaving group ability of the carboxylate anion and the antiperiplanar orientation of the nitrogen lone pair with respect to the C-O bond, E(2)=35.2 kcal/mol (DOI: 10.14469/hpc/8807)' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Another entry is ANUVUD[3] with a crystal structure (data DOI: 10.5517/ccdc.csd.cc24zxdg) shown below and CN and CO lengths of 1.391 and 1.559Å, which in this case ARE reasonably replicated by calculation (1.402, 1.499). This effect is promoted by the good leaving group ability of the carboxylate anion and the antiperiplanar orientation of the nitrogen lone pair with respect to the C-O bond, E(2)=35.2 kcal/mol (DOI: 10.14469/hpc/8807)","Subject":"Chemistry","Keywords":"-1705.490787; InChI=1S/C25H39NO9/c1-6-26-20-24-13-9-12-14(31-2)10-23(29,16(13)17(12)33-4)25(26,30)19(34-5)18(24)22(11-27,21(28)35-20)8-7-15(24)32-3/h12-20,27,29-30H,6-11H2,1-5H3/t12-,13-,14+,15+,16-,17+,18-,19+,20+,22+,23-,24+,25+/m1/s1; VELNVPXNOKVVTC-VJKZSTDTSA-N"},{"pid":"doi:10.7910/DVN/4DZBQ0","Title":"HH-XRF analyses of geological, archaeological, and experimental materials at Meroe, Sudan","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'HH-XRF analyses of geological, archaeological, and experimental materials at Meroe, Sudan' Description:'Meroe, Sudan was an important royal and industrial centre of the Kingdom of Kush from the 3rd Century BC, through the 4th Century AD. The site is noted amongst archaeometallurgists for its extensive remains of iron production. UCL Qatar’s Sudan Project (2012-present) includes investigations of these remains in order to model the technology and its impact on the social, economic and natural environments. As a part of this research, a series of iron smelting experiments was conducted in January 2015. One goal of these experiments was to evaluate the character and performance of local geological resources, especially potential ores. HH-XRF was one tool used to evaluate and sort ores prior to the experiments. This dataset provides an overview of the research context, materials and methods, and the data obtained.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {archaeometallurgy; HH-XRF; iron; Meroe; ore+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'HH-XRF analyses of geological, archaeological, and experimental materials at Meroe, Sudan' Description:'Meroe, Sudan was an important royal and industrial centre of the Kingdom of Kush from the 3rd Century BC, through the 4th Century AD. The site is noted amongst archaeometallurgists for its extensive remains of iron production. UCL Qatar’s Sudan Project (2012-present) includes investigations of these remains in order to model the technology and its impact on the social, economic and natural environments. As a part of this research, a series of iron smelting experiments was conducted in January 2015. One goal of these experiments was to evaluate the character and performance of local geological resources, especially potential ores. HH-XRF was one tool used to evaluate and sort ores prior to the experiments. This dataset provides an overview of the research context, materials and methods, and the data obtained.' Subject:'Chemistry; Earth and Environmental Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Meroe, Sudan was an important royal and industrial centre of the Kingdom of Kush from the 3rd Century BC, through the 4th Century AD. The site is noted amongst archaeometallurgists for its extensive remains of iron production. UCL Qatar’s Sudan Project (2012-present) includes investigations of these remains in order to model the technology and its impact on the social, economic and natural environments. As a part of this research, a series of iron smelting experiments was conducted in January 2015. One goal of these experiments was to evaluate the character and performance of local geological resources, especially potential ores. HH-XRF was one tool used to evaluate and sort ores prior to the experiments. This dataset provides an overview of the research context, materials and methods, and the data obtained.","Subject":"Chemistry","Keywords":"archaeometallurgy; HH-XRF; iron; Meroe; ore"},{"pid":"doi:10.7910/DVN/4MIQXC","Title":"Replication Data for: Advantages of the use of polymeric nanoparticles in the treatment of breast cancer: a systematic review","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Advantages of the use of polymeric nanoparticles in the treatment of breast cancer: a systematic review' Description:'Data extraction from articles collected in databases (Embase; PubMed and Scopus) that met the PICO acronym of this systematic review. In addition to quality data and risk of bias for each article. Wherein, this study is a systematic review on the effectiveness of the use of polymeric nanoparticles in the treatment of breast cancer compared to the use of free drugs.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Nanoparticles; Drug Delivery System; Drug utilization; Breast cancer+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Advantages of the use of polymeric nanoparticles in the treatment of breast cancer: a systematic review' Description:'Data extraction from articles collected in databases (Embase; PubMed and Scopus) that met the PICO acronym of this systematic review. In addition to quality data and risk of bias for each article. Wherein, this study is a systematic review on the effectiveness of the use of polymeric nanoparticles in the treatment of breast cancer compared to the use of free drugs.' Subject:'Chemistry; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data extraction from articles collected in databases (Embase; PubMed and Scopus) that met the PICO acronym of this systematic review. In addition to quality data and risk of bias for each article. Wherein, this study is a systematic review on the effectiveness of the use of polymeric nanoparticles in the treatment of breast cancer compared to the use of free drugs.","Subject":"Chemistry","Keywords":"Nanoparticles; Drug Delivery System; Drug utilization; Breast cancer"},{"pid":"doi:10.7910/DVN/5PTGBR","Title":"Androgen Receptor - RDKit Descriptors","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Androgen Receptor - RDKit Descriptors' Description:'Dataset containing a Flame QSAR model for predicting Androgen Receptor activation. The model is described in the metadata.txt file. The ar_rdkit_v000005.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Machine Learning; QSAR model; Toxicology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Androgen Receptor - RDKit Descriptors' Description:'Dataset containing a Flame QSAR model for predicting Androgen Receptor activation. The model is described in the metadata.txt file. The ar_rdkit_v000005.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.' Subject:'Chemistry; Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset containing a Flame QSAR model for predicting Androgen Receptor activation. The model is described in the metadata.txt file. The ar_rdkit_v000005.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure.","Subject":"Chemistry","Keywords":"Machine Learning; QSAR model; Toxicology"},{"pid":"doi:10.7910/DVN/5VYJ5O","Title":"Parameters for adsorption of (CWA) chemical warfare agents and CWA simulants","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Parameters for adsorption of (CWA) chemical warfare agents and CWA simulants' Description:'Dataset contains files with literature data (and links to original references) on adsorption parameters of CWA (chemical warfare agents) and CWA simulants, which are scarce and unsystematic but needed for modeling, research and development of adsorption based sensors and decontamination devices.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {adsorption; CBRN; chemical warfare; CWA; desorption ; refractive index+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Parameters for adsorption of (CWA) chemical warfare agents and CWA simulants' Description:'Dataset contains files with literature data (and links to original references) on adsorption parameters of CWA (chemical warfare agents) and CWA simulants, which are scarce and unsystematic but needed for modeling, research and development of adsorption based sensors and decontamination devices.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset contains files with literature data (and links to original references) on adsorption parameters of CWA (chemical warfare agents) and CWA simulants, which are scarce and unsystematic but needed for modeling, research and development of adsorption based sensors and decontamination devices.","Subject":"Chemistry","Keywords":"adsorption; CBRN; chemical warfare; CWA; desorption ; refractive index"},{"pid":"doi:10.7910/DVN/6C6IWA","Title":"Replication Data for: A Critical Analysis of Computational Protein Design with Sparse Residue Interaction Graphs","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A Critical Analysis of Computational Protein Design with Sparse Residue Interaction Graphs' Description:'The following contains the data and results used in the following paper:Swati Jain, Jonathan D. Jou, Ivelin S. Georgiev, and Bruce R. Donald. A Critical Analysis of Computational Protein Design with Sparse Residue Interaction Graphs. PLoS Comp Biol. 2017, In press.To test the hypothesis and results of sparse residue interaction graphs as presented in this manuscript, the archived version of the code can be found at: https://github.com/donaldlab/OSPREY_SparseAStar .For new empirical designs, we recommend using the latest version of OSPREY 2.1 available at http://www.cs.duke.edu/donaldlab/osprey.php that includes continuous sidechain and backbone flexibility, ensemble-based design, and new and faster methods to calculate energy functions.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {A* Search; Distance and Energy Cutoffs; GMEC; OSPREY; protein design; Sparse Residue Interaction Graph+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A Critical Analysis of Computational Protein Design with Sparse Residue Interaction Graphs' Description:'The following contains the data and results used in the following paper:Swati Jain, Jonathan D. Jou, Ivelin S. Georgiev, and Bruce R. Donald. A Critical Analysis of Computational Protein Design with Sparse Residue Interaction Graphs. PLoS Comp Biol. 2017, In press.To test the hypothesis and results of sparse residue interaction graphs as presented in this manuscript, the archived version of the code can be found at: https://github.com/donaldlab/OSPREY_SparseAStar .For new empirical designs, we recommend using the latest version of OSPREY 2.1 available at http://www.cs.duke.edu/donaldlab/osprey.php that includes continuous sidechain and backbone flexibility, ensemble-based design, and new and faster methods to calculate energy functions.' Subject:'Chemistry; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The following contains the data and results used in the following paper:Swati Jain, Jonathan D. Jou, Ivelin S. Georgiev, and Bruce R. Donald. A Critical Analysis of Computational Protein Design with Sparse Residue Interaction Graphs. PLoS Comp Biol. 2017, In press.To test the hypothesis and results of sparse residue interaction graphs as presented in this manuscript, the archived version of the code can be found at: https://github.com/donaldlab/OSPREY_SparseAStar .For new empirical designs, we recommend using the latest version of OSPREY 2.1 available at http://www.cs.duke.edu/donaldlab/osprey.php that includes continuous sidechain and backbone flexibility, ensemble-based design, and new and faster methods to calculate energy functions.","Subject":"Chemistry","Keywords":"A* Search; Distance and Energy Cutoffs; GMEC; OSPREY; protein design; Sparse Residue Interaction Graph"},{"pid":"doi:10.7910/DVN/6D1JKE","Title":"Multifaceted Convergence Study for Evaluating Gas Diffusion Parameters of Polymeric Membranes","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Multifaceted Convergence Study for Evaluating Gas Diffusion Parameters of Polymeric Membranes' Description:'In this paper, gas transport properties of PTFE (polytetrafluorethylene) polymeric membranes are studied. We focused our work on three methods based on, Darcy’s pore flow model, Fick’s diffusion and numerical analysis. Effective diffusion coefficients obtained by Darcy’s and Fick’s laws are compared. In numerical analysis, simplified computational fluid dynamics model was created using virtual porous mediumconcept. Virtual porous media is generated by adding a momentum sink term in the governing equations of fluid flow. Diffusion process described by Darcy’s method is performed using transfer of clean air through the membrane under inducedpressure gradients. Fick’s diffusion parameters are obtained based on trace compound (C3H8O) transport through the membrane under induced concentration gradients. Relatively high inertial permeability compared to viscous permeability( 102) are recorded in Darcy’s analysis. Also, effective diffusion coefficient obtained by Fick’s law shows 10-2 decrement compared to the same obtained by Darcy’s pore flow model. From computational fluid dynamics (CFD) results, virtual pore flow model successfully demonstrated its soundness on analyzing membrane transport properties.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computational fluid dynamics; Darcy's pore flow model; effective diffusion; Fick's diffusion; membrane transport; virtual porous media+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Multifaceted Convergence Study for Evaluating Gas Diffusion Parameters of Polymeric Membranes' Description:'In this paper, gas transport properties of PTFE (polytetrafluorethylene) polymeric membranes are studied. We focused our work on three methods based on, Darcy’s pore flow model, Fick’s diffusion and numerical analysis. Effective diffusion coefficients obtained by Darcy’s and Fick’s laws are compared. In numerical analysis, simplified computational fluid dynamics model was created using virtual porous mediumconcept. Virtual porous media is generated by adding a momentum sink term in the governing equations of fluid flow. Diffusion process described by Darcy’s method is performed using transfer of clean air through the membrane under inducedpressure gradients. Fick’s diffusion parameters are obtained based on trace compound (C3H8O) transport through the membrane under induced concentration gradients. Relatively high inertial permeability compared to viscous permeability( 102) are recorded in Darcy’s analysis. Also, effective diffusion coefficient obtained by Fick’s law shows 10-2 decrement compared to the same obtained by Darcy’s pore flow model. From computational fluid dynamics (CFD) results, virtual pore flow model successfully demonstrated its soundness on analyzing membrane transport properties.' Subject:'Chemistry; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"In this paper, gas transport properties of PTFE (polytetrafluorethylene) polymeric membranes are studied. We focused our work on three methods based on, Darcy’s pore flow model, Fick’s diffusion and numerical analysis. Effective diffusion coefficients obtained by Darcy’s and Fick’s laws are compared. In numerical analysis, simplified computational fluid dynamics model was created using virtual porous mediumconcept. Virtual porous media is generated by adding a momentum sink term in the governing equations of fluid flow. Diffusion process described by Darcy’s method is performed using transfer of clean air through the membrane under inducedpressure gradients. Fick’s diffusion parameters are obtained based on trace compound (C3H8O) transport through the membrane under induced concentration gradients. Relatively high inertial permeability compared to viscous permeability( 102) are recorded in Darcy’s analysis. Also, effective diffusion coefficient obtained by Fick’s law shows 10-2 decrement compared to the same obtained by Darcy’s pore flow model. From computational fluid dynamics (CFD) results, virtual pore flow model successfully demonstrated its soundness on analyzing membrane transport properties.","Subject":"Chemistry","Keywords":"computational fluid dynamics; Darcy's pore flow model; effective diffusion; Fick's diffusion; membrane transport; virtual porous media"},{"pid":"doi:10.7910/DVN/7KFPUT","Title":"Replication data for Study of a series of ligands used as inhibitors of the SARS-CoV-2 virus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for Study of a series of ligands used as inhibitors of the SARS-CoV-2 virus' Description:'A coronavirus identified in 2019, SARS-CoV-2, has caused a respiratory illness pandemic called COVID-19. Most people with COVID-19 experience moderate to mild symptoms and do not need special treatments to recover. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) has a crucial part in the virus cycle. The active site of the RdRp is a highly accessible area, so focusing on this region to investigate the inhibition of viral replication is an effective therapeutic strategy. The use of pre-existing drugs for the new coronavirus has been proposed by scientists around the world. However, its effectiveness is relatively limited. Other researchers have described the use of available antiviral compounds to reduce the cost and time of new drug development. Therefore, a number of ligands used as SARS-CoV-2 inhibitors have been selected in this study, such as: Darunavir (Daru), Dolutegravir (Dolu), Dexamethasona (Dexame), Ganciclovir (Gan), Fosamprenavir (Fosam), Lopinavir (Lop), Insoine (Inso), Tipranavir (Tipra) and Ritonavir (Rito). These ligands have been analysed by molecular docking and molecular quantum similarity, using several similarity indices such as Coulomb, overlap and Euclidean distances. The results have been supported by chemical reactivity indices defined in the conceptual-density functional theory framework. The main stabilising interactions in the crystal structure of the SARS-CoV-2 RNA-dependent RNA polymerase have been identified in this study. In this sense, this study contributes new insights about these ligands that can be used in the development of new COVID-19 treatments.' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {RNA dependent RNA polymerase SARS-CoV-2 virus, COVID-19 treatments, molecular docking, molecular quantum similarity, chemical reactivity descriptors, density functional theory.+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for Study of a series of ligands used as inhibitors of the SARS-CoV-2 virus' Description:'A coronavirus identified in 2019, SARS-CoV-2, has caused a respiratory illness pandemic called COVID-19. Most people with COVID-19 experience moderate to mild symptoms and do not need special treatments to recover. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) has a crucial part in the virus cycle. The active site of the RdRp is a highly accessible area, so focusing on this region to investigate the inhibition of viral replication is an effective therapeutic strategy. The use of pre-existing drugs for the new coronavirus has been proposed by scientists around the world. However, its effectiveness is relatively limited. Other researchers have described the use of available antiviral compounds to reduce the cost and time of new drug development. Therefore, a number of ligands used as SARS-CoV-2 inhibitors have been selected in this study, such as: Darunavir (Daru), Dolutegravir (Dolu), Dexamethasona (Dexame), Ganciclovir (Gan), Fosamprenavir (Fosam), Lopinavir (Lop), Insoine (Inso), Tipranavir (Tipra) and Ritonavir (Rito). These ligands have been analysed by molecular docking and molecular quantum similarity, using several similarity indices such as Coulomb, overlap and Euclidean distances. The results have been supported by chemical reactivity indices defined in the conceptual-density functional theory framework. The main stabilising interactions in the crystal structure of the SARS-CoV-2 RNA-dependent RNA polymerase have been identified in this study. In this sense, this study contributes new insights about these ligands that can be used in the development of new COVID-19 treatments.' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A coronavirus identified in 2019, SARS-CoV-2, has caused a respiratory illness pandemic called COVID-19. Most people with COVID-19 experience moderate to mild symptoms and do not need special treatments to recover. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) has a crucial part in the virus cycle. The active site of the RdRp is a highly accessible area, so focusing on this region to investigate the inhibition of viral replication is an effective therapeutic strategy. The use of pre-existing drugs for the new coronavirus has been proposed by scientists around the world. However, its effectiveness is relatively limited. Other researchers have described the use of available antiviral compounds to reduce the cost and time of new drug development. Therefore, a number of ligands used as SARS-CoV-2 inhibitors have been selected in this study, such as: Darunavir (Daru), Dolutegravir (Dolu), Dexamethasona (Dexame), Ganciclovir (Gan), Fosamprenavir (Fosam), Lopinavir (Lop), Insoine (Inso), Tipranavir (Tipra) and Ritonavir (Rito). These ligands have been analysed by molecular docking and molecular quantum similarity, using several similarity indices such as Coulomb, overlap and Euclidean distances. The results have been supported by chemical reactivity indices defined in the conceptual-density functional theory framework. The main stabilising interactions in the crystal structure of the SARS-CoV-2 RNA-dependent RNA polymerase have been identified in this study. In this sense, this study contributes new insights about these ligands that can be used in the development of new COVID-19 treatments.","Subject":"Chemistry","Keywords":"RNA dependent RNA polymerase SARS-CoV-2 virus, COVID-19 treatments, molecular docking, molecular quantum similarity, chemical reactivity descriptors, density functional theory."},{"pid":"doi:10.7910/DVN/81PBJ9","Title":"Replication data for Chemical nature of Hg and Cu sulfides","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for Chemical nature of Hg and Cu sulfides' Description:'Hg and Cu sulfide analysis' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Hg and Cu sulfides+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for Chemical nature of Hg and Cu sulfides' Description:'Hg and Cu sulfide analysis' Subject:'Chemistry. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Hg and Cu sulfide analysis","Subject":"Chemistry","Keywords":"Hg and Cu sulfides"},{"pid":"doi:10.7910/DVN/8A3ZK9","Title":"Lead confinement and fluorimetric detection using zeolites: towards a rapid and cost-effective detection of lead in water","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Lead confinement and fluorimetric detection using zeolites: towards a rapid and cost-effective detection of lead in water' Description:'Raw data and experimental results details' Subject:'Chemistry'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lead clusters, F9 zeolites, fluorimetric sensor, heavy metals ions, water pollution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Lead confinement and fluorimetric detection using zeolites: towards a rapid and cost-effective detection of lead in water' Description:'Raw data and experimental results details' Subject:'Chemistry; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Raw data and experimental results details","Subject":"Chemistry","Keywords":"lead clusters, F9 zeolites, fluorimetric sensor, heavy metals ions, water pollution"},{"pid":"doi:10.11588/data/0B5VML","Title":"GermEval-2018 Corpus (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GermEval-2018 Corpus (DE)' Description:'This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {German; GermEval Shared Task; offensive language; sentiment; social media; tweets; Twitter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GermEval-2018 Corpus (DE)' Description:'This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.","Subject":" Computer and Information Science","Keywords":"German; GermEval Shared Task; offensive language; sentiment; social media; tweets; Twitter"},{"pid":"doi:10.11588/data/10026","Title":"WikiWarsDE Corpus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'WikiWarsDE Corpus' Description:'The WikiWarsDE corpus is a German corpus containing Wikipedia articles with annotations of temporal expressions. Its creation was motivated by the English WikiWars corpus (Mazur& Dale 2010). WikiWarsDE was developed to support research on temporal information extraction and normalization. The 22 documents contain 95,604 tokens and 2,240 temporal expressions annotated following TIDES TIMEX2 annotation guidelines.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated corpus; temporal expressions; temporal tagging+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'WikiWarsDE Corpus' Description:'The WikiWarsDE corpus is a German corpus containing Wikipedia articles with annotations of temporal expressions. Its creation was motivated by the English WikiWars corpus (Mazur& Dale 2010). WikiWarsDE was developed to support research on temporal information extraction and normalization. The 22 documents contain 95,604 tokens and 2,240 temporal expressions annotated following TIDES TIMEX2 annotation guidelines.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The WikiWarsDE corpus is a German corpus containing Wikipedia articles with annotations of temporal expressions. Its creation was motivated by the English WikiWars corpus (Mazur& Dale 2010). WikiWarsDE was developed to support research on temporal information extraction and normalization. The 22 documents contain 95,604 tokens and 2,240 temporal expressions annotated following TIDES TIMEX2 annotation guidelines.","Subject":"Computer and Information Science","Keywords":"annotated corpus; temporal expressions; temporal tagging"},{"pid":"doi:10.11588/data/10089","Title":"Source Code, Data and Additional Material for the Thesis: 'Identification of Software Features in Issue Tracking System Data'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Source Code, Data and Additional Material for the Thesis: 'Identification of Software Features in Issue Tracking System Data'' Description:'This dataset provides the code and the data sets used in the PHD thesis 'Identification of Software Features in Issue Tracking System Data' as well as the files that represent the results measured in experiments. For problem studies (e.g. chapters 10 and 11) the folders include the raw data and the data annotations as well as the tools used to extract the data. For solution studies (e.g. chapters 14, 15, and 16) the folders include the raw data, tools used to extract the data, the gold standards, the code to process the data and finally the experiment results. This archive contains one folder per chaper and every folder again contains a README.md file describing its contents: Chapter10: SOFTWARE FEATURES IN ISSUE TRACKING SYSTEMS – AN EMPIRICAL STUDY Chapter11: ISSUE TYPES AND INFORMATION TYPES – AN EMPIRICAL STUDY Chapter14: PREPROCESSING ISSUES – AN EMPIRICAL STUDY Chapter15: RECOVERING RELATED ISSUES IN ISSUE TRACKING SYSTEMS Chapter16: DETECTING SOFTWARE FEATURE REQUESTS IN ISSUES ' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Data Mining; Software Engineering; Software Features; Software Repositories; Traceability+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Source Code, Data and Additional Material for the Thesis: 'Identification of Software Features in Issue Tracking System Data'' Description:'This dataset provides the code and the data sets used in the PHD thesis 'Identification of Software Features in Issue Tracking System Data' as well as the files that represent the results measured in experiments. For problem studies (e.g. chapters 10 and 11) the folders include the raw data and the data annotations as well as the tools used to extract the data. For solution studies (e.g. chapters 14, 15, and 16) the folders include the raw data, tools used to extract the data, the gold standards, the code to process the data and finally the experiment results. This archive contains one folder per chaper and every folder again contains a README.md file describing its contents: Chapter10: SOFTWARE FEATURES IN ISSUE TRACKING SYSTEMS – AN EMPIRICAL STUDY Chapter11: ISSUE TYPES AND INFORMATION TYPES – AN EMPIRICAL STUDY Chapter14: PREPROCESSING ISSUES – AN EMPIRICAL STUDY Chapter15: RECOVERING RELATED ISSUES IN ISSUE TRACKING SYSTEMS Chapter16: DETECTING SOFTWARE FEATURE REQUESTS IN ISSUES ' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset provides the code and the data sets used in the PHD thesis 'Identification of Software Features in Issue Tracking System Data' as well as the files that represent the results measured in experiments. For problem studies (e.g. chapters 10 and 11) the folders include the raw data and the data annotations as well as the tools used to extract the data. For solution studies (e.g. chapters 14, 15, and 16) the folders include the raw data, tools used to extract the data, the gold standards, the code to process the data and finally the experiment results. This archive contains one folder per chaper and every folder again contains a README.md file describing its contents: Chapter10: SOFTWARE FEATURES IN ISSUE TRACKING SYSTEMS – AN EMPIRICAL STUDY Chapter11: ISSUE TYPES AND INFORMATION TYPES – AN EMPIRICAL STUDY Chapter14: PREPROCESSING ISSUES – AN EMPIRICAL STUDY Chapter15: RECOVERING RELATED ISSUES IN ISSUE TRACKING SYSTEMS Chapter16: DETECTING SOFTWARE FEATURE REQUESTS IN ISSUES ","Subject":"Computer and Information Science","Keywords":"Data Mining; Software Engineering; Software Features; Software Repositories; Traceability"},{"pid":"doi:10.11588/data/2JK48O","Title":"Sentiment View Lexicon (EN)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sentiment View Lexicon (EN)' Description:'This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {opinion expression; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sentiment View Lexicon (EN)' Description:'This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.","Subject":" Computer and Information Science","Keywords":"opinion expression; sentiment"},{"pid":"doi:10.11588/data/3JVZSH","Title":"Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]' Description:'Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset.For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computer Vision; Machine Learning; Neural networks (Computer science)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]' Description:'Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset.For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset.For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC","Subject":"Computer and Information Science","Keywords":"Computer Vision; Machine Learning; Neural networks (Computer science)"},{"pid":"doi:10.11588/data/3W7AQP","Title":"Opinion role extractor","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Opinion role extractor' Description:'System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; categorization of opinion words; opinion; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Opinion role extractor' Description:'System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text","Subject":" Computer and Information Science","Keywords":"annotation; categorization of opinion words; opinion; sentiment"},{"pid":"doi:10.11588/data/7NRFYC","Title":"Synthesis of CT images from digital body phantoms using CycleGAN [dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Synthesis of CT images from digital body phantoms using CycleGAN [dataset]' Description:'The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CT synthesis; CycleGAN; Generative Adversial Networks; physical modeling; simulation based deep learning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Synthesis of CT images from digital body phantoms using CycleGAN [dataset]' Description:'The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms.","Subject":"Computer and Information Science","Keywords":"CT synthesis; CycleGAN; Generative Adversial Networks; physical modeling; simulation based deep learning"},{"pid":"doi:10.11588/data/8LKEZF","Title":"Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]' Description:'Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University. The HE-Staining Variation (HEV) data set offers serial sections of a follicular thyroid carcinoma, stained with different HE-staining protocols (including name of [stainVariant]):stained with HE with the standard protocol of the Institute of Pathology, Mannheim (HE)stained too long with HE (longHE)stained too short with HE (shortHE)stained only with Hematoxylin (onlyH)stained only with Eosin (onlyE)stained too long with Hematoxylin (longH)stained too long with Eosin (longE)stained too short with Hematoxylin (shortH)stained too short with Eosin (shortE)We provided the original whole-slide-images (WSI) in the folder HEV_wsi.zip for each stain-variant.In addition, for the stain-variants 1-5 we provide patches (n ~40,000 for each set) of size 256x256 pixels and split them into 60% train (train_[stainVariant].zip) and 40% test (test_[stainVariant].zip) sets . Patches from our TumorLymphnode data set for image classification are provided inside tumorLymphnode_patches.zip. It contains ~3,600 patches of size 165x165 pixels for each class normal lymph nodes (normal) and carcinoma infiltration (tumor).The code for our models is available at Gitlab.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Stain Normalization+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]' Description:'Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University. The HE-Staining Variation (HEV) data set offers serial sections of a follicular thyroid carcinoma, stained with different HE-staining protocols (including name of [stainVariant]):stained with HE with the standard protocol of the Institute of Pathology, Mannheim (HE)stained too long with HE (longHE)stained too short with HE (shortHE)stained only with Hematoxylin (onlyH)stained only with Eosin (onlyE)stained too long with Hematoxylin (longH)stained too long with Eosin (longE)stained too short with Hematoxylin (shortH)stained too short with Eosin (shortE)We provided the original whole-slide-images (WSI) in the folder HEV_wsi.zip for each stain-variant.In addition, for the stain-variants 1-5 we provide patches (n ~40,000 for each set) of size 256x256 pixels and split them into 60% train (train_[stainVariant].zip) and 40% test (test_[stainVariant].zip) sets . Patches from our TumorLymphnode data set for image classification are provided inside tumorLymphnode_patches.zip. It contains ~3,600 patches of size 165x165 pixels for each class normal lymph nodes (normal) and carcinoma infiltration (tumor).The code for our models is available at Gitlab.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University. The HE-Staining Variation (HEV) data set offers serial sections of a follicular thyroid carcinoma, stained with different HE-staining protocols (including name of [stainVariant]):stained with HE with the standard protocol of the Institute of Pathology, Mannheim (HE)stained too long with HE (longHE)stained too short with HE (shortHE)stained only with Hematoxylin (onlyH)stained only with Eosin (onlyE)stained too long with Hematoxylin (longH)stained too long with Eosin (longE)stained too short with Hematoxylin (shortH)stained too short with Eosin (shortE)We provided the original whole-slide-images (WSI) in the folder HEV_wsi.zip for each stain-variant.In addition, for the stain-variants 1-5 we provide patches (n ~40,000 for each set) of size 256x256 pixels and split them into 60% train (train_[stainVariant].zip) and 40% test (test_[stainVariant].zip) sets . Patches from our TumorLymphnode data set for image classification are provided inside tumorLymphnode_patches.zip. It contains ~3,600 patches of size 165x165 pixels for each class normal lymph nodes (normal) and carcinoma infiltration (tumor).The code for our models is available at Gitlab.","Subject":"Computer and Information Science","Keywords":"Stain Normalization"},{"pid":"doi:10.11588/data/AIQSXL","Title":"Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates' Description:'This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (https://www.primaresearch.org/REID2019/), part of ICDAR 2019 (https://icdar2019.org/competitions-2/). The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bengali language; Optical Character Recognition; Optische Zeichenerkennung; Transcription+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates' Description:'This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (https://www.primaresearch.org/REID2019/), part of ICDAR 2019 (https://icdar2019.org/competitions-2/). The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (https://www.primaresearch.org/REID2019/), part of ICDAR 2019 (https://icdar2019.org/competitions-2/). The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates.","Subject":" Computer and Information Science","Keywords":"Bengali language; Optical Character Recognition; Optische Zeichenerkennung; Transcription"},{"pid":"doi:10.11588/data/AOSUY6","Title":"German Twitter Titling Corpus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'German Twitter Titling Corpus' Description:'The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a doctoral degree, of whom 6 from a left-leaning political party and 4 from a right-leaning political party.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated corpus; framing; German corpus; naming; sentiment; social media; stance; Twitter+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'German Twitter Titling Corpus' Description:'The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a doctoral degree, of whom 6 from a left-leaning political party and 4 from a right-leaning political party.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a doctoral degree, of whom 6 from a left-leaning political party and 4 from a right-leaning political party.","Subject":" Computer and Information Science","Keywords":"annotated corpus; framing; German corpus; naming; sentiment; social media; stance; Twitter"},{"pid":"doi:10.11588/data/AVLFPZ","Title":"Abstract graphs, abstract paths, grounded paths for Freebase and NELL","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Abstract graphs, abstract paths, grounded paths for Freebase and NELL' Description:'We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the results of link prediction using this information.The data in this archive consists of the abstract graphs built from several configurations of Freebase and NELL (used in the experiments described in Gardner et al. 2014), the abstract paths extracted from these graphs, the grounded paths and the negative sampling used in the experiments described in (Nastase and Kotnis, 2019). The motivation for this work was to find better patterns in knowledge graphs than those obtained using the PRA approach.This dataset contains: AbstractGraphs_Garder2014data.tar.gz: the abstract graphsAbstractPathsGroundedPaths.tar.gz: the abstract paths, grounded paths, train/test data and the corresponding negative samples (for each abstract graph)For a brief description of the data in each archive, please see README_AbstractGraphs.txt. ' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {abstract graph; knowledge graph; link prediction; targeted information extraction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Abstract graphs, abstract paths, grounded paths for Freebase and NELL' Description:'We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the results of link prediction using this information.The data in this archive consists of the abstract graphs built from several configurations of Freebase and NELL (used in the experiments described in Gardner et al. 2014), the abstract paths extracted from these graphs, the grounded paths and the negative sampling used in the experiments described in (Nastase and Kotnis, 2019). The motivation for this work was to find better patterns in knowledge graphs than those obtained using the PRA approach.This dataset contains: AbstractGraphs_Garder2014data.tar.gz: the abstract graphsAbstractPathsGroundedPaths.tar.gz: the abstract paths, grounded paths, train/test data and the corresponding negative samples (for each abstract graph)For a brief description of the data in each archive, please see README_AbstractGraphs.txt. ' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the results of link prediction using this information.The data in this archive consists of the abstract graphs built from several configurations of Freebase and NELL (used in the experiments described in Gardner et al. 2014), the abstract paths extracted from these graphs, the grounded paths and the negative sampling used in the experiments described in (Nastase and Kotnis, 2019). The motivation for this work was to find better patterns in knowledge graphs than those obtained using the PRA approach.This dataset contains: AbstractGraphs_Garder2014data.tar.gz: the abstract graphsAbstractPathsGroundedPaths.tar.gz: the abstract paths, grounded paths, train/test data and the corresponding negative samples (for each abstract graph)For a brief description of the data in each archive, please see README_AbstractGraphs.txt. ","Subject":" Computer and Information Science","Keywords":"abstract graph; knowledge graph; link prediction; targeted information extraction"},{"pid":"doi:10.11588/data/BBQYD0","Title":"GER_SET: Situation Entity Type labelled corpus for German","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GER_SET: Situation Entity Type labelled corpus for German' Description:'Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing. Forlì-Cesena, Italy.Carlota S. Smith (2003). Modes of discourse: The local structure of texts, volume 103. Cambridge University Press.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated dataset; argument analysis; corpus; detecting and filling knowledge gaps; exploitation of attention, context and the genre information; German; knowledge discovery; semantic clause type; sentence classification; situation entity; syntactic-semantic features+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GER_SET: Situation Entity Type labelled corpus for German' Description:'Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing. Forlì-Cesena, Italy.Carlota S. Smith (2003). Modes of discourse: The local structure of texts, volume 103. Cambridge University Press.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing. Forlì-Cesena, Italy.Carlota S. Smith (2003). Modes of discourse: The local structure of texts, volume 103. Cambridge University Press.","Subject":" Computer and Information Science","Keywords":"annotated dataset; argument analysis; corpus; detecting and filling knowledge gaps; exploitation of attention, context and the genre information; German; knowledge discovery; semantic clause type; sentence classification; situation entity; syntactic-semantic features"},{"pid":"doi:10.11588/data/C2OQN4","Title":"MACE-AL","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MACE-AL' Description:'A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Annotation noise; Annotation tool; Automatically annotated text; Error detection+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MACE-AL' Description:'A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.","Subject":" Computer and Information Science","Keywords":"Annotation noise; Annotation tool; Automatically annotated text; Error detection"},{"pid":"doi:10.11588/data/CHEPS6","Title":"LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]' Description:'LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das 'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur' als Anleitung für die schlüssige Strukturierung von Informationen über Gemälde und Skulpturen in lokalen Sammlungsmanagement-Systemen. In dem hier vorliegenden Dataset werden LIDO-XML-Beispieldatensätze für die Version LIDO v1.1. zur Verfügung gestellt, die unmittelbar bei der Vorbereitung eines Datenexports aus einem lokalen System als Anschauungsmaterial dienen können. Das Dataset umfasst sowohl vollständige LIDO-XML-Datensätze als auch einzelne Ausschnitte zur Illustration bestimmter Dokumentationsanforderungen (Snippets).Erfolgt die Bereitstellung von XML-Datensätzen über kulturelle Objekte gemäß den im LIDO XML-Schema definierten Regeln, so wird eine wesentliche Voraussetzung dafür geschaffen, dass die Daten rechtlich und technisch optimal durch Dritte nachgenutzt werden können. Außerdem werden Suchergebnisse in sammlungsübergreifenden Anwendungen hinsichtlich Recall und Precision verbessert. Informationen können so vernetzt werden, dass ein Mehrwert durch die Generierung von Wissen entsteht. Das Handbuch und die es begleitenden Beispiele entstanden im Rahmen des Projekts KONDA - Kontinuierliches Qualitätsmanagement von dynamischen Forschungsdaten zu Objekten der materiellen Kultur unter Nutzung des LIDO-Standards, gefördert vom Bundesministerium für Bildung und Forschung (BMBF).' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CIDOC Conceptual Reference Model; LIDO+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]' Description:'LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das 'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur' als Anleitung für die schlüssige Strukturierung von Informationen über Gemälde und Skulpturen in lokalen Sammlungsmanagement-Systemen. In dem hier vorliegenden Dataset werden LIDO-XML-Beispieldatensätze für die Version LIDO v1.1. zur Verfügung gestellt, die unmittelbar bei der Vorbereitung eines Datenexports aus einem lokalen System als Anschauungsmaterial dienen können. Das Dataset umfasst sowohl vollständige LIDO-XML-Datensätze als auch einzelne Ausschnitte zur Illustration bestimmter Dokumentationsanforderungen (Snippets).Erfolgt die Bereitstellung von XML-Datensätzen über kulturelle Objekte gemäß den im LIDO XML-Schema definierten Regeln, so wird eine wesentliche Voraussetzung dafür geschaffen, dass die Daten rechtlich und technisch optimal durch Dritte nachgenutzt werden können. Außerdem werden Suchergebnisse in sammlungsübergreifenden Anwendungen hinsichtlich Recall und Precision verbessert. Informationen können so vernetzt werden, dass ein Mehrwert durch die Generierung von Wissen entsteht. Das Handbuch und die es begleitenden Beispiele entstanden im Rahmen des Projekts KONDA - Kontinuierliches Qualitätsmanagement von dynamischen Forschungsdaten zu Objekten der materiellen Kultur unter Nutzung des LIDO-Standards, gefördert vom Bundesministerium für Bildung und Forschung (BMBF).' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das 'LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur' als Anleitung für die schlüssige Strukturierung von Informationen über Gemälde und Skulpturen in lokalen Sammlungsmanagement-Systemen. In dem hier vorliegenden Dataset werden LIDO-XML-Beispieldatensätze für die Version LIDO v1.1. zur Verfügung gestellt, die unmittelbar bei der Vorbereitung eines Datenexports aus einem lokalen System als Anschauungsmaterial dienen können. Das Dataset umfasst sowohl vollständige LIDO-XML-Datensätze als auch einzelne Ausschnitte zur Illustration bestimmter Dokumentationsanforderungen (Snippets).Erfolgt die Bereitstellung von XML-Datensätzen über kulturelle Objekte gemäß den im LIDO XML-Schema definierten Regeln, so wird eine wesentliche Voraussetzung dafür geschaffen, dass die Daten rechtlich und technisch optimal durch Dritte nachgenutzt werden können. Außerdem werden Suchergebnisse in sammlungsübergreifenden Anwendungen hinsichtlich Recall und Precision verbessert. Informationen können so vernetzt werden, dass ein Mehrwert durch die Generierung von Wissen entsteht. Das Handbuch und die es begleitenden Beispiele entstanden im Rahmen des Projekts KONDA - Kontinuierliches Qualitätsmanagement von dynamischen Forschungsdaten zu Objekten der materiellen Kultur unter Nutzung des LIDO-Standards, gefördert vom Bundesministerium für Bildung und Forschung (BMBF).","Subject":" Computer and Information Science","Keywords":"CIDOC Conceptual Reference Model; LIDO"},{"pid":"doi:10.11588/data/CSXYSS","Title":"KGE Algorithms","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'KGE Algorithms' Description:' An updated method for link prediction that uses a regularization factor that models relation argument typesAbstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositoriesrelies on processing the available relation instances. Knowledgerepositories are not balanced in terms of relations or entities – thereare relations with less than 10 but also thousands of instances, andentities involved in less than 10 but also thousands of relations.Many relations, however, have clear domain and range, which wehypothesize could help learn a better, more generalizing, model.We include such information in the RESCAL model in the formof a regularization factor added to the loss function that takes intoaccount the types (categories) of the entities that appear as argumentsto relations in the knowledge base. Tested on Freebase, a frequentlyused benchmarking dataset for link/path predicting tasks, we noteincreased performance compared to the baseline model in terms ofmean reciprocal rank and hits@N, N = 1, 3, 10. Furthermore, wediscover scenarios that significantly impact the effectiveness of thetype regularizer.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {graph embedding; knowledge graphs; link prediction+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'KGE Algorithms' Description:' An updated method for link prediction that uses a regularization factor that models relation argument typesAbstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositoriesrelies on processing the available relation instances. Knowledgerepositories are not balanced in terms of relations or entities – thereare relations with less than 10 but also thousands of instances, andentities involved in less than 10 but also thousands of relations.Many relations, however, have clear domain and range, which wehypothesize could help learn a better, more generalizing, model.We include such information in the RESCAL model in the formof a regularization factor added to the loss function that takes intoaccount the types (categories) of the entities that appear as argumentsto relations in the knowledge base. Tested on Freebase, a frequentlyused benchmarking dataset for link/path predicting tasks, we noteincreased performance compared to the baseline model in terms ofmean reciprocal rank and hits@N, N = 1, 3, 10. Furthermore, wediscover scenarios that significantly impact the effectiveness of thetype regularizer.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":" An updated method for link prediction that uses a regularization factor that models relation argument typesAbstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositoriesrelies on processing the available relation instances. Knowledgerepositories are not balanced in terms of relations or entities – thereare relations with less than 10 but also thousands of instances, andentities involved in less than 10 but also thousands of relations.Many relations, however, have clear domain and range, which wehypothesize could help learn a better, more generalizing, model.We include such information in the RESCAL model in the formof a regularization factor added to the loss function that takes intoaccount the types (categories) of the entities that appear as argumentsto relations in the knowledge base. Tested on Freebase, a frequentlyused benchmarking dataset for link/path predicting tasks, we noteincreased performance compared to the baseline model in terms ofmean reciprocal rank and hits@N, N = 1, 3, 10. Furthermore, wediscover scenarios that significantly impact the effectiveness of thetype regularizer.","Subject":" Computer and Information Science","Keywords":"graph embedding; knowledge graphs; link prediction"},{"pid":"doi:10.11588/data/E5EHBV","Title":"COREC – A neural multi-label COmmonsense RElation Classification system","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'COREC – A neural multi-label COmmonsense RElation Classification system' Description:'We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the specific properties of the CONCEPTNET resource such as relation ambiguity or argument heterogeneity, we investigate the impact of different relation representations and model variations. Our analysis reveals that the complexity of argument types and relation ambiguity are the most important challenges to address. We design a customized evaluation method to address the incompleteness of the resource that can be expanded in future work.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ConceptNet; Semantic relation classification+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'COREC – A neural multi-label COmmonsense RElation Classification system' Description:'We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the specific properties of the CONCEPTNET resource such as relation ambiguity or argument heterogeneity, we investigate the impact of different relation representations and model variations. Our analysis reveals that the complexity of argument types and relation ambiguity are the most important challenges to address. We design a customized evaluation method to address the incompleteness of the resource that can be expanded in future work.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the specific properties of the CONCEPTNET resource such as relation ambiguity or argument heterogeneity, we investigate the impact of different relation representations and model variations. Our analysis reveals that the complexity of argument types and relation ambiguity are the most important challenges to address. We design a customized evaluation method to address the incompleteness of the resource that can be expanded in future work.","Subject":" Computer and Information Science","Keywords":"ConceptNet; Semantic relation classification"},{"pid":"doi:10.11588/data/EGCMUU","Title":"DSAC++ Visual Camera Re-Localization [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'DSAC++ Visual Camera Re-Localization [Data]' Description:'Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset.For more information, also see the code documentation: https://github.com/vislearn/LessMore' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computer Vision; Machine Learning; Neural networks (Computer science)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'DSAC++ Visual Camera Re-Localization [Data]' Description:'Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset.For more information, also see the code documentation: https://github.com/vislearn/LessMore' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset.For more information, also see the code documentation: https://github.com/vislearn/LessMore","Subject":"Computer and Information Science","Keywords":"Computer Vision; Machine Learning; Neural networks (Computer science)"},{"pid":"doi:10.11588/data/ERDJDI","Title":"Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]' Description:'AbstractModal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We bench-mark the CNN on a standard WSD task,where it compares favorably to models using sense-disambiguated target vectors. (Marasović and Frank, 2016)' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Modal sense classification (MSC); modal verb; semantic feature; word embedding; Word Sense Disambiguation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]' Description:'AbstractModal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We bench-mark the CNN on a standard WSD task,where it compares favorably to models using sense-disambiguated target vectors. (Marasović and Frank, 2016)' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"AbstractModal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We bench-mark the CNN on a standard WSD task,where it compares favorably to models using sense-disambiguated target vectors. (Marasović and Frank, 2016)","Subject":" Computer and Information Science","Keywords":"Modal sense classification (MSC); modal verb; semantic feature; word embedding; Word Sense Disambiguation"},{"pid":"doi:10.11588/data/GSJE9D","Title":"Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]' Description:'Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) datasets.For more information, also see the code documentation: https://github.com/vislearn/esac' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computer Vision; Machine Learning; Neural networks (Computer science)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]' Description:'Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) datasets.For more information, also see the code documentation: https://github.com/vislearn/esac' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) datasets.For more information, also see the code documentation: https://github.com/vislearn/esac","Subject":"Computer and Information Science","Keywords":"Computer Vision; Machine Learning; Neural networks (Computer science)"},{"pid":"doi:10.11588/data/HE3BAZ","Title":"Converter for content-to-head style syntactic dependencies","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Converter for content-to-head style syntactic dependencies' Description:'A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; dependency parsing; syntactic parsing; Universal Dependency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Converter for content-to-head style syntactic dependencies' Description:'A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).","Subject":" Computer and Information Science","Keywords":"annotation; dependency parsing; syntactic parsing; Universal Dependency"},{"pid":"doi:10.11588/data/HJ6SVM","Title":"Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Collagen; KIMMDY; Mechanoracials; Molecular Dynamics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]' Description:'This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.' Subject:'Chemistry; Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related publication: Collagen is a force-bearing, hierarchical structural protein important to all connective tissue. In tendon collagen, high load even below macroscopic failure level creates mechanoradicals by homolytic bond scission, similar to polymers. The location and type of initial rupture sites critically decide on both the mechanical and chemical impact of these micro-ruptures on the tissue, but are yet to be explored. Wehere use scale-bridging simulations supported by gel electrophoresis and mass spectrometry to determine breakage points in collagen. We find collagen crosslinks, as opposed to the backbone, to harbor the weakest bonds, with one particular bond in trivalent crosslinks as the most dominant rupture site. We identify this bond as sacrificial, rupturing prior to other bonds while maintaining the material’s integrity.Also, collagen’s weak bonds funnel ruptures such that the potentially harmful mechanoradicals are readily stabilized. Our results suggest this unique failure mode of collagen to be tailored towards combatting an early onset of macroscopic failure and material ageing.","Subject":" Computer and Information Science","Keywords":"Collagen; KIMMDY; Mechanoracials; Molecular Dynamics"},{"pid":"doi:10.11588/data/HVXXIJ","Title":"X-SRL Dataset and mBERT Word Aligner","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'X-SRL Dataset and mBERT Word Aligner' Description:'This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled Englishsentences) into the target side (for example a German translation of thesentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation projection; multilingual BERT; multilingual semantic role labeling; SRL; word alignment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'X-SRL Dataset and mBERT Word Aligner' Description:'This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled Englishsentences) into the target side (for example a German translation of thesentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled Englishsentences) into the target side (for example a German translation of thesentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages.","Subject":" Computer and Information Science","Keywords":"annotation projection; multilingual BERT; multilingual semantic role labeling; SRL; word alignment"},{"pid":"doi:10.11588/data/IOHXDF","Title":"Twitter Titling Corpus","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Twitter Titling Corpus' Description:'The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to president out offirst-name (FN)last-name (LN)first-name last-name (FNLN)title last-name (TLN)title first-name last-name (TFNLN)' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated tweets; computational social science; entity framing; political discourse; sentiment; social media; twitter corpus+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Twitter Titling Corpus' Description:'The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to president out offirst-name (FN)last-name (LN)first-name last-name (FNLN)title last-name (TLN)title first-name last-name (TFNLN)' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to president out offirst-name (FN)last-name (LN)first-name last-name (FNLN)title last-name (TLN)title first-name last-name (TFNLN)","Subject":" Computer and Information Science","Keywords":"annotated tweets; computational social science; entity framing; political discourse; sentiment; social media; twitter corpus"},{"pid":"doi:10.11588/data/JEESIQ","Title":"The MSC Data Set","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The MSC Data Set' Description:'From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see 'Related Publication' below):Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS_E, English). The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frankthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Composition of training and testing used for the classification experiments. The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank.Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank. ' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; machine learning; modality; modal sense classification; semantics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The MSC Data Set' Description:'From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see 'Related Publication' below):Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS_E, English). The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frankthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Composition of training and testing used for the classification experiments. The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank.Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank. ' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see 'Related Publication' below):Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS_E, English). The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frankthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Composition of training and testing used for the classification experiments. The dataset was used for:the EMNLP 2015 Workshop submission 'Semantically enriched models for modal sense classification' by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmerthe RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank.Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission 'Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations' by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank.Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission 'Multilingual Modal Sense Classification using a Convolutional Neural Network' by Ana Marasović and Anette Frank. ","Subject":" Computer and Information Science","Keywords":"annotation; machine learning; modality; modal sense classification; semantics"},{"pid":"doi:10.11588/data/KIWEMF","Title":"DeModify","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'DeModify' Description:'deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-crucial, ungrammatical. Based on these annotations we have created two gold standards: strict (includes instances on which all annotators agree) and relaxed (majority voting). The archive contains a file that proposes a split into 5 folds for the instances that belong to either of the gold standards.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; modifier deletion; text simplification+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'DeModify' Description:'deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-crucial, ungrammatical. Based on these annotations we have created two gold standards: strict (includes instances on which all annotators agree) and relaxed (majority voting). The archive contains a file that proposes a split into 5 folds for the instances that belong to either of the gold standards.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-crucial, ungrammatical. Based on these annotations we have created two gold standards: strict (includes instances on which all annotators agree) and relaxed (majority voting). The archive contains a file that proposes a split into 5 folds for the instances that belong to either of the gold standards.","Subject":" Computer and Information Science","Keywords":"annotation; modifier deletion; text simplification"},{"pid":"doi:10.11588/data/KKTC9G","Title":"Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description:'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Beispieldaten / sample records; Datensatz / data set; Multilingual computing; XML-Schema / XML Schema+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description:'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject:'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.","Subject":" Computer and Information Science","Keywords":"Beispieldaten / sample records; Datensatz / data set; Multilingual computing; XML-Schema / XML Schema"},{"pid":"doi:10.11588/data/KXLMHN","Title":"A harmonised testsuite for social media POS tagging (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A harmonised testsuite for social media POS tagging (DE)' Description:'A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information. The original data comes from 3 different sources: a twitter dataset with 21,181 tokens, and two datasets from the Empirist shared task 2015: web data (12,718 tokens) and computer-mediated communication (10,505 tokens).' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {German; German web data; POS tagging; Tweets+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A harmonised testsuite for social media POS tagging (DE)' Description:'A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information. The original data comes from 3 different sources: a twitter dataset with 21,181 tokens, and two datasets from the Empirist shared task 2015: web data (12,718 tokens) and computer-mediated communication (10,505 tokens).' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information. The original data comes from 3 different sources: a twitter dataset with 21,181 tokens, and two datasets from the Empirist shared task 2015: web data (12,718 tokens) and computer-mediated communication (10,505 tokens).","Subject":" Computer and Information Science","Keywords":"German; German web data; POS tagging; Tweets"},{"pid":"doi:10.11588/data/KZHLS8","Title":"OwnReality API-only web application","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'OwnReality API-only web application' Description:'This dataset contains the data platform for the research project 'OwnReality. To Each His Own Reality'.During the course of the project, data was gathered and entered into a database.In general, this platform allows the integration of that data into web basedsystems such as content management systems. To be independent of the targettechnology, the integration is implemented with a set of customized html tagswith no assumptions on lower layers. An API-only web application retrieves thedata from an elasticsearch instance and relays to the widgets.A README in this dataset serves as documentation. It aims to provide information on:the requirements to run the applicationhow to set up the API-applicationimporting the data from the included json documentsimporting the additional image databuilding the javascript integration assethow to integrate the widgets on a third-party pageRequirementslinux (not a requirement but the howto in documentation assumes linux)elasticsearch (2.2.3)ruby (2.2.5)nodejs (4.4.4), only for building' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {API; JavaScript; Ruby+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'OwnReality API-only web application' Description:'This dataset contains the data platform for the research project 'OwnReality. To Each His Own Reality'.During the course of the project, data was gathered and entered into a database.In general, this platform allows the integration of that data into web basedsystems such as content management systems. To be independent of the targettechnology, the integration is implemented with a set of customized html tagswith no assumptions on lower layers. An API-only web application retrieves thedata from an elasticsearch instance and relays to the widgets.A README in this dataset serves as documentation. It aims to provide information on:the requirements to run the applicationhow to set up the API-applicationimporting the data from the included json documentsimporting the additional image databuilding the javascript integration assethow to integrate the widgets on a third-party pageRequirementslinux (not a requirement but the howto in documentation assumes linux)elasticsearch (2.2.3)ruby (2.2.5)nodejs (4.4.4), only for building' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains the data platform for the research project 'OwnReality. To Each His Own Reality'.During the course of the project, data was gathered and entered into a database.In general, this platform allows the integration of that data into web basedsystems such as content management systems. To be independent of the targettechnology, the integration is implemented with a set of customized html tagswith no assumptions on lower layers. An API-only web application retrieves thedata from an elasticsearch instance and relays to the widgets.A README in this dataset serves as documentation. It aims to provide information on:the requirements to run the applicationhow to set up the API-applicationimporting the data from the included json documentsimporting the additional image databuilding the javascript integration assethow to integrate the widgets on a third-party pageRequirementslinux (not a requirement but the howto in documentation assumes linux)elasticsearch (2.2.3)ruby (2.2.5)nodejs (4.4.4), only for building","Subject":" Computer and Information Science","Keywords":"API; JavaScript; Ruby"},{"pid":"doi:10.11588/data/LSTRK3","Title":"Sentiment Compound Data (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sentiment Compound Data (DE)' Description:'This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {German; opinion compounds; opinionrole extraction; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sentiment Compound Data (DE)' Description:'This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.","Subject":" Computer and Information Science","Keywords":"German; opinion compounds; opinionrole extraction; sentiment"},{"pid":"doi:10.11588/data/MKPEYV","Title":"Lexicon of Abusive Words (EN)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Lexicon of Abusive Words (EN)' Description:'This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {lexicon; negative polar expressions; sentiment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Lexicon of Abusive Words (EN)' Description:'This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.","Subject":" Computer and Information Science","Keywords":"lexicon; negative polar expressions; sentiment"},{"pid":"doi:10.11588/data/N07HKC","Title":"DSAC* Visual Re-Localization [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'DSAC* Visual Re-Localization [Data]' Description:'Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets.For more information, also see the code documentation: https://github.com/vislearn/dsacstar.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computer Vision; Machine Learning; Neural networks (Computer science)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'DSAC* Visual Re-Localization [Data]' Description:'Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets.For more information, also see the code documentation: https://github.com/vislearn/dsacstar.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets.For more information, also see the code documentation: https://github.com/vislearn/dsacstar.","Subject":"Computer and Information Science","Keywords":"Computer Vision; Machine Learning; Neural networks (Computer science)"},{"pid":"doi:10.11588/data/OU8YA1","Title":"3D Micro-Mapping of Subsidence Stations [Source Code and Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'3D Micro-Mapping of Subsidence Stations [Source Code and Data]' Description:'This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the ground surface in 3D point clouds. The web-based tool was used to quantify vertical displacement of the ground surface from multitemporal Terrestrial Laser Scanning data acquired at two sites in the permafrost-underlain tundra at Trail Valley Creek, NWT, Canada (https://www.uni-heidelberg.de/permasar).A video of the online tool is provided in addition to the source code and data.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {3D point clouds; geoinformation; micro-mapping; web-based+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'3D Micro-Mapping of Subsidence Stations [Source Code and Data]' Description:'This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the ground surface in 3D point clouds. The web-based tool was used to quantify vertical displacement of the ground surface from multitemporal Terrestrial Laser Scanning data acquired at two sites in the permafrost-underlain tundra at Trail Valley Creek, NWT, Canada (https://www.uni-heidelberg.de/permasar).A video of the online tool is provided in addition to the source code and data.' Subject:'Computer and Information Science; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the ground surface in 3D point clouds. The web-based tool was used to quantify vertical displacement of the ground surface from multitemporal Terrestrial Laser Scanning data acquired at two sites in the permafrost-underlain tundra at Trail Valley Creek, NWT, Canada (https://www.uni-heidelberg.de/permasar).A video of the online tool is provided in addition to the source code and data.","Subject":"Computer and Information Science","Keywords":"3D point clouds; geoinformation; micro-mapping; web-based"},{"pid":"doi:10.11588/data/PCGYET","Title":"Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]' Description:'Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC.For more information, also see the code documentation: https://github.com/vislearn/ngransac' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computer Vision; Machine Learning; Neural networks (Computer science)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]' Description:'Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC.For more information, also see the code documentation: https://github.com/vislearn/ngransac' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC.For more information, also see the code documentation: https://github.com/vislearn/ngransac","Subject":"Computer and Information Science","Keywords":"Computer Vision; Machine Learning; Neural networks (Computer science)"},{"pid":"doi:10.11588/data/QKF4LT","Title":"Affixoid Dataset (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Affixoid Dataset (DE)' Description:'The dataset contains the manual annotations for the COLING 2018 submission 'Distinguishing affixoid formations from compounds' by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert.1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -gott) were annotated manually as to whether the complex forms represent regular compounds or affixoid formations. The main experiments in the paper use automatically extracted features of the complex forms in trying to correctly make this distinction.Additionally, the words were labeled for five properties related to any intensifying and evaluative meaning potentially associated with the whole word and its components. These manual feature annotations were used to establish the upper-bound performance of a classifier trained to distinguish affixoid formations from regular compounds.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {affixoid; compound; entiment analysis; German; morphology+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Affixoid Dataset (DE)' Description:'The dataset contains the manual annotations for the COLING 2018 submission 'Distinguishing affixoid formations from compounds' by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert.1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -gott) were annotated manually as to whether the complex forms represent regular compounds or affixoid formations. The main experiments in the paper use automatically extracted features of the complex forms in trying to correctly make this distinction.Additionally, the words were labeled for five properties related to any intensifying and evaluative meaning potentially associated with the whole word and its components. These manual feature annotations were used to establish the upper-bound performance of a classifier trained to distinguish affixoid formations from regular compounds.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset contains the manual annotations for the COLING 2018 submission 'Distinguishing affixoid formations from compounds' by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert.1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -gott) were annotated manually as to whether the complex forms represent regular compounds or affixoid formations. The main experiments in the paper use automatically extracted features of the complex forms in trying to correctly make this distinction.Additionally, the words were labeled for five properties related to any intensifying and evaluative meaning potentially associated with the whole word and its components. These manual feature annotations were used to establish the upper-bound performance of a classifier trained to distinguish affixoid formations from regular compounds.","Subject":" Computer and Information Science","Keywords":"affixoid; compound; entiment analysis; German; morphology"},{"pid":"doi:10.11588/data/RDISCE","Title":"Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]' Description:'The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CTCF; extended ladder model; zinc finger+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]' Description:'The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.","Subject":"Computer and Information Science","Keywords":"CTCF; extended ladder model; zinc finger"},{"pid":"doi:10.11588/data/S90S35","Title":"tweeDe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'tweeDe' Description:'A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotation; German; morphological feature; parsing; part of speech; PoS; syntactic dependency; tweets; Twitter treebank; Universal Dependency+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'tweeDe' Description:'A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework","Subject":" Computer and Information Science","Keywords":"annotation; German; morphological feature; parsing; part of speech; PoS; syntactic dependency; tweets; Twitter treebank; Universal Dependency"},{"pid":"doi:10.11588/data/STHBGW","Title":"AMR parse quality prediction [Source Code]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'AMR parse quality prediction [Source Code]' Description:'Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parseAbstract (Opitz and Frank, 2019):Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition of roles, following Dowty's feature-based view of proto-roles. This theory determines agenthood vs. patienthood based on a participant's instantiation of more or less typical agent vs. patient properties, such as, for example, volition in an event. To perform SPRL, we develop an ensemble of hierarchical models with self-attention and concurrently learned predicate-argument-markers. Our method is competitive with the state-of-the art, overall outperforming previous work in two formulations of the task (multi-label and multi-variate Likert scale prediction). In contrast to previous work, our results do not depend on gold argument heads derived from supplementary gold tree banks. ' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Abstract Meaning Representation (AMR); knowledge graph; NLP; textual semantic analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'AMR parse quality prediction [Source Code]' Description:'Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parseAbstract (Opitz and Frank, 2019):Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition of roles, following Dowty's feature-based view of proto-roles. This theory determines agenthood vs. patienthood based on a participant's instantiation of more or less typical agent vs. patient properties, such as, for example, volition in an event. To perform SPRL, we develop an ensemble of hierarchical models with self-attention and concurrently learned predicate-argument-markers. Our method is competitive with the state-of-the art, overall outperforming previous work in two formulations of the task (multi-label and multi-variate Likert scale prediction). In contrast to previous work, our results do not depend on gold argument heads derived from supplementary gold tree banks. ' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parseAbstract (Opitz and Frank, 2019):Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition of roles, following Dowty's feature-based view of proto-roles. This theory determines agenthood vs. patienthood based on a participant's instantiation of more or less typical agent vs. patient properties, such as, for example, volition in an event. To perform SPRL, we develop an ensemble of hierarchical models with self-attention and concurrently learned predicate-argument-markers. Our method is competitive with the state-of-the art, overall outperforming previous work in two formulations of the task (multi-label and multi-variate Likert scale prediction). In contrast to previous work, our results do not depend on gold argument heads derived from supplementary gold tree banks. ","Subject":" Computer and Information Science","Keywords":"Abstract Meaning Representation (AMR); knowledge graph; NLP; textual semantic analysis"},{"pid":"doi:10.11588/data/THPEBR","Title":"MACE-AL-TREE","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'MACE-AL-TREE' Description:'An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Annotation error; Dependency parse tree; Error detection; Noisy data; Parsing; Tool; Treebanks+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'MACE-AL-TREE' Description:'An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.","Subject":" Computer and Information Science","Keywords":"Annotation error; Dependency parse tree; Error detection; Noisy data; Parsing; Tool; Treebanks"},{"pid":"doi:10.11588/data/TMEDTX","Title":"LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition' Description:'This dataset is a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audio books. The corpus consists of over 100 hours of audio material and over 50k parallel sentences. The speech data are low in disfluencies because of the audio book setup. The quality of audio and sentence alignments has been checked by a manual evaluation, showing that that speech alignment is in general very high. The sentence alignment quality is comparable to well-used parallel translation data and can be adjusted by cutoffs on the automatic alignment score. To our knowledge, this corpus is to date the largest resource for end-to-end speech translation for German.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Speech Translation Corpus German-English+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition' Description:'This dataset is a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audio books. The corpus consists of over 100 hours of audio material and over 50k parallel sentences. The speech data are low in disfluencies because of the audio book setup. The quality of audio and sentence alignments has been checked by a manual evaluation, showing that that speech alignment is in general very high. The sentence alignment quality is comparable to well-used parallel translation data and can be adjusted by cutoffs on the automatic alignment score. To our knowledge, this corpus is to date the largest resource for end-to-end speech translation for German.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset is a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audio books. The corpus consists of over 100 hours of audio material and over 50k parallel sentences. The speech data are low in disfluencies because of the audio book setup. The quality of audio and sentence alignments has been checked by a manual evaluation, showing that that speech alignment is in general very high. The sentence alignment quality is comparable to well-used parallel translation data and can be adjusted by cutoffs on the automatic alignment score. To our knowledge, this corpus is to date the largest resource for end-to-end speech translation for German.","Subject":"Computer and Information Science","Keywords":"Speech Translation Corpus German-English"},{"pid":"doi:10.11588/data/TOI9NQ","Title":"Encoder-Decoder Model for Semantic Role Labeling","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Encoder-Decoder Model for Semantic Role Labeling' Description:'Abstract (Daza & Frank 2019):We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need parallel data during inference time. Our approach can be applied in monolingual, multilingual and cross-lingual settings and is able to produce dependency-based and span-based SRL annotations. We benchmark the labeling performance of our model in different monolingual and multilingual settings using well-known SRL datasets. We then train our model in a cross-lingual setting to generate new SRL labeled data. Finally, we measure the effectiveness of our method by using the generated data to augment the training basis for resource-poor languages and perform manual evaluation to show that it produces high-quality sentences and assigns accurate semantic role annotations. Our proposed architecture offers a flexible method for leveraging SRL data in multiple languages.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {cross-lingual setting; monolingual setting; multilingual setting; semantic role annotation; Semantic Role Labeling; SRL+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Encoder-Decoder Model for Semantic Role Labeling' Description:'Abstract (Daza & Frank 2019):We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need parallel data during inference time. Our approach can be applied in monolingual, multilingual and cross-lingual settings and is able to produce dependency-based and span-based SRL annotations. We benchmark the labeling performance of our model in different monolingual and multilingual settings using well-known SRL datasets. We then train our model in a cross-lingual setting to generate new SRL labeled data. Finally, we measure the effectiveness of our method by using the generated data to augment the training basis for resource-poor languages and perform manual evaluation to show that it produces high-quality sentences and assigns accurate semantic role annotations. Our proposed architecture offers a flexible method for leveraging SRL data in multiple languages.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract (Daza & Frank 2019):We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need parallel data during inference time. Our approach can be applied in monolingual, multilingual and cross-lingual settings and is able to produce dependency-based and span-based SRL annotations. We benchmark the labeling performance of our model in different monolingual and multilingual settings using well-known SRL datasets. We then train our model in a cross-lingual setting to generate new SRL labeled data. Finally, we measure the effectiveness of our method by using the generated data to augment the training basis for resource-poor languages and perform manual evaluation to show that it produces high-quality sentences and assigns accurate semantic role annotations. Our proposed architecture offers a flexible method for leveraging SRL data in multiple languages.","Subject":" Computer and Information Science","Keywords":"cross-lingual setting; monolingual setting; multilingual setting; semantic role annotation; Semantic Role Labeling; SRL"},{"pid":"doi:10.11588/data/V4MUMX","Title":"6D Object Pose Estimation using 3D Object Coordinates [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'6D Object Pose Estimation using 3D Object Coordinates [Data]' Description:'Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office backgrounds. We also provide additional pose annotations of the LINEMOD dataset (http://campar.in.tum.de/Main/StefanHinterstoisser), and Linux binaries to reproduce the results of our paper.For more information, also see the project page: https://hci.iwr.uni-heidelberg.de/vislearn/research/scene-understanding/pose-estimation/#ECCV14' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computer Vision; Machine Learning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'6D Object Pose Estimation using 3D Object Coordinates [Data]' Description:'Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office backgrounds. We also provide additional pose annotations of the LINEMOD dataset (http://campar.in.tum.de/Main/StefanHinterstoisser), and Linux binaries to reproduce the results of our paper.For more information, also see the project page: https://hci.iwr.uni-heidelberg.de/vislearn/research/scene-understanding/pose-estimation/#ECCV14' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office backgrounds. We also provide additional pose annotations of the LINEMOD dataset (http://campar.in.tum.de/Main/StefanHinterstoisser), and Linux binaries to reproduce the results of our paper.For more information, also see the project page: https://hci.iwr.uni-heidelberg.de/vislearn/research/scene-understanding/pose-estimation/#ECCV14","Subject":"Computer and Information Science","Keywords":"Computer Vision; Machine Learning"},{"pid":"doi:10.11588/data/V9CXPR","Title":"BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)' Description:'BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages betterthan alternative subword approaches, while requiring vastly fewer resources and no tokenization.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {byte-pair encoding; multilingual; subword embeddings+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)' Description:'BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages betterthan alternative subword approaches, while requiring vastly fewer resources and no tokenization.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages betterthan alternative subword approaches, while requiring vastly fewer resources and no tokenization.","Subject":"Computer and Information Science","Keywords":"byte-pair encoding; multilingual; subword embeddings"},{"pid":"doi:10.11588/data/VK99LU","Title":"ACL word segmentation correction","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'ACL word segmentation correction' Description:'The data in this collection consists of two parallel directories, one ('raw') containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ('re-segmented') the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used for machine translation. The motivation for the work was that spurious spaces in the text seemed to be very common, particularly in older papers, obtained by OCR-ing scanned papers.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ACL collection; character-level sequence-to-sequence model; word segmentation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'ACL word segmentation correction' Description:'The data in this collection consists of two parallel directories, one ('raw') containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ('re-segmented') the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used for machine translation. The motivation for the work was that spurious spaces in the text seemed to be very common, particularly in older papers, obtained by OCR-ing scanned papers.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The data in this collection consists of two parallel directories, one ('raw') containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ('re-segmented') the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used for machine translation. The motivation for the work was that spurious spaces in the text seemed to be very common, particularly in older papers, obtained by OCR-ing scanned papers.","Subject":" Computer and Information Science","Keywords":"ACL collection; character-level sequence-to-sequence model; word segmentation"},{"pid":"doi:10.11588/data/W3JBV4","Title":"Pre-trained POS tagging models for German social media","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Pre-trained POS tagging models for German social media' Description:'Pre-trained POS tagging models forthe HunPos tagger (Halácsy et al. 2007)the biLSTM-char-CRF tagger (Reimers & Gurevych 2017)Online-Flors (Yin et al. 2015).References:Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL’07, pages 209–212, Prague, Czech Republic.Reimers, N., and Gurevych, I. (2017). Reportingscore distributions makes a difference: Performancestudy of lstm-networks for sequence tagging. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP, pp. 338–348, September 7–11, 2017, Copenhagen, Denmark.Yin, W., Schnabel, T. and Schütze, H. (2015). Online updating of word representations forpart-of-speech tagging. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP’15, pages 1329–1334. September 17-21, 2015, Lisbon, Portugal.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Corpus; German; POS tagging; Social media data; Tweets; Twitter; Twitter POS testsuite+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Pre-trained POS tagging models for German social media' Description:'Pre-trained POS tagging models forthe HunPos tagger (Halácsy et al. 2007)the biLSTM-char-CRF tagger (Reimers & Gurevych 2017)Online-Flors (Yin et al. 2015).References:Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL’07, pages 209–212, Prague, Czech Republic.Reimers, N., and Gurevych, I. (2017). Reportingscore distributions makes a difference: Performancestudy of lstm-networks for sequence tagging. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP, pp. 338–348, September 7–11, 2017, Copenhagen, Denmark.Yin, W., Schnabel, T. and Schütze, H. (2015). Online updating of word representations forpart-of-speech tagging. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP’15, pages 1329–1334. September 17-21, 2015, Lisbon, Portugal.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Pre-trained POS tagging models forthe HunPos tagger (Halácsy et al. 2007)the biLSTM-char-CRF tagger (Reimers & Gurevych 2017)Online-Flors (Yin et al. 2015).References:Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL’07, pages 209–212, Prague, Czech Republic.Reimers, N., and Gurevych, I. (2017). Reportingscore distributions makes a difference: Performancestudy of lstm-networks for sequence tagging. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP, pp. 338–348, September 7–11, 2017, Copenhagen, Denmark.Yin, W., Schnabel, T. and Schütze, H. (2015). Online updating of word representations forpart-of-speech tagging. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP’15, pages 1329–1334. September 17-21, 2015, Lisbon, Portugal.","Subject":" Computer and Information Science","Keywords":"Corpus; German; POS tagging; Social media data; Tweets; Twitter; Twitter POS testsuite"},{"pid":"doi:10.11588/data/XXKWU0","Title":"Genre-sensitive Neural Situation Entity classifier (DE, EN)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Genre-sensitive Neural Situation Entity classifier (DE, EN)' Description:'This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We explore this task in a deeplearning framework, where tuned word representations capture lexical, syntactic and semantic features. We introduce an attention mechanism that pinpoints relevant context not only for the current instance, but also for the larger context. The advantage of our neural model is that it avoids the need to reproduce linguistic features for other languages and is thus more easily transferable.We provide code for the basic local model (GRU), the local model with attention (GRU+attention), and our best performing context model which uses labels of previous clauses and genre information (GRU+attention+label+genre).The data we used for our experiments can be found here, and we used the same train-dev-test split: https://github.com/annefried/sitent/tree/master/annotated_corpus ' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {classification; English; entity types; German; situation entity+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Genre-sensitive Neural Situation Entity classifier (DE, EN)' Description:'This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We explore this task in a deeplearning framework, where tuned word representations capture lexical, syntactic and semantic features. We introduce an attention mechanism that pinpoints relevant context not only for the current instance, but also for the larger context. The advantage of our neural model is that it avoids the need to reproduce linguistic features for other languages and is thus more easily transferable.We provide code for the basic local model (GRU), the local model with attention (GRU+attention), and our best performing context model which uses labels of previous clauses and genre information (GRU+attention+label+genre).The data we used for our experiments can be found here, and we used the same train-dev-test split: https://github.com/annefried/sitent/tree/master/annotated_corpus ' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We explore this task in a deeplearning framework, where tuned word representations capture lexical, syntactic and semantic features. We introduce an attention mechanism that pinpoints relevant context not only for the current instance, but also for the larger context. The advantage of our neural model is that it avoids the need to reproduce linguistic features for other languages and is thus more easily transferable.We provide code for the basic local model (GRU), the local model with attention (GRU+attention), and our best performing context model which uses labels of previous clauses and genre information (GRU+attention+label+genre).The data we used for our experiments can be found here, and we used the same train-dev-test split: https://github.com/annefried/sitent/tree/master/annotated_corpus ","Subject":" Computer and Information Science","Keywords":"classification; English; entity types; German; situation entity"},{"pid":"doi:10.11588/data/YYULL2","Title":"Negative Sampling for Learning Knowledge Graph Embeddings","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Negative Sampling for Learning Knowledge Graph Embeddings' Description:'Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure of the graph. This has inspired methods for the joint embedding of entities and relations in continuous low-dimensional vector spaces, that can be used to induce new edges in the graph, i.e., link prediction in knowledge graphs. Learning these representations relies on contrasting positive instances with negative ones. Knowledge graphs include only positive relation instances, leaving the door open for a variety of methods for selecting negative examples. In this paper we present an empirical study on the impact of negative sampling on the learned embeddings, assessed through the task of link prediction. We use state-of-the-art knowledge graph embeddings -- :rescal , TransE, DistMult and ComplEX -- and evaluate on benchmark datasets -- FB15k and WN18. We compare well known methods for negative sampling and additionally propose embedding based sampling methods. We note a marked difference in the impact of these sampling methods on the two datasets, with the 'traditional' corrupting positives method leading to best results on WN18, while embedding based methods benefiting the task on FB15k.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {embedding models; knowledge graphs; linkprediction; negative sampling+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Negative Sampling for Learning Knowledge Graph Embeddings' Description:'Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure of the graph. This has inspired methods for the joint embedding of entities and relations in continuous low-dimensional vector spaces, that can be used to induce new edges in the graph, i.e., link prediction in knowledge graphs. Learning these representations relies on contrasting positive instances with negative ones. Knowledge graphs include only positive relation instances, leaving the door open for a variety of methods for selecting negative examples. In this paper we present an empirical study on the impact of negative sampling on the learned embeddings, assessed through the task of link prediction. We use state-of-the-art knowledge graph embeddings -- :rescal , TransE, DistMult and ComplEX -- and evaluate on benchmark datasets -- FB15k and WN18. We compare well known methods for negative sampling and additionally propose embedding based sampling methods. We note a marked difference in the impact of these sampling methods on the two datasets, with the 'traditional' corrupting positives method leading to best results on WN18, while embedding based methods benefiting the task on FB15k.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure of the graph. This has inspired methods for the joint embedding of entities and relations in continuous low-dimensional vector spaces, that can be used to induce new edges in the graph, i.e., link prediction in knowledge graphs. Learning these representations relies on contrasting positive instances with negative ones. Knowledge graphs include only positive relation instances, leaving the door open for a variety of methods for selecting negative examples. In this paper we present an empirical study on the impact of negative sampling on the learned embeddings, assessed through the task of link prediction. We use state-of-the-art knowledge graph embeddings -- :rescal , TransE, DistMult and ComplEX -- and evaluate on benchmark datasets -- FB15k and WN18. We compare well known methods for negative sampling and additionally propose embedding based sampling methods. We note a marked difference in the impact of these sampling methods on the two datasets, with the 'traditional' corrupting positives method leading to best results on WN18, while embedding based methods benefiting the task on FB15k.","Subject":" Computer and Information Science","Keywords":"embedding models; knowledge graphs; linkprediction; negative sampling"},{"pid":"doi:10.11588/data/Z1RKOI","Title":"Accompanying Code and Models for Chapter 5 of the PhD Thesis 'Global Inference and Local Syntax Representations for Event Extraction'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Accompanying Code and Models for Chapter 5 of the PhD Thesis 'Global Inference and Local Syntax Representations for Event Extraction'' Description:'This release contains the source code used for Chapter 5 of the PhD thesis 'Global Inference and Local Syntax Representations for Event Extraction'. It contains the implementation of the modular, graph-based event extractor described there.Furthermore, the release contains five models produced with the Graph Convolution Network and an repeated negative undersampling probability of 0.9. These five models can either be used alone, or, as intended, as part of a boostrap aggregating implementation of the event extractor.For more information, see the README.md.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {deep learning; event extraction; GCN; LSTM+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Accompanying Code and Models for Chapter 5 of the PhD Thesis 'Global Inference and Local Syntax Representations for Event Extraction'' Description:'This release contains the source code used for Chapter 5 of the PhD thesis 'Global Inference and Local Syntax Representations for Event Extraction'. It contains the implementation of the modular, graph-based event extractor described there.Furthermore, the release contains five models produced with the Graph Convolution Network and an repeated negative undersampling probability of 0.9. These five models can either be used alone, or, as intended, as part of a boostrap aggregating implementation of the event extractor.For more information, see the README.md.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This release contains the source code used for Chapter 5 of the PhD thesis 'Global Inference and Local Syntax Representations for Event Extraction'. It contains the implementation of the modular, graph-based event extractor described there.Furthermore, the release contains five models produced with the Graph Convolution Network and an repeated negative undersampling probability of 0.9. These five models can either be used alone, or, as intended, as part of a boostrap aggregating implementation of the event extractor.For more information, see the README.md.","Subject":"Computer and Information Science","Keywords":"deep learning; event extraction; GCN; LSTM"},{"pid":"doi:10.11588/data/ZHI94V","Title":"German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)' Description:'Annotations of causal verbs, nouns and prepositions in context and lexicon file for causal verbs, nouns and prepositions.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated training suite; annotation; causal event; English-German parallel data; extraction of causal relations; German; Lexicon; trigger causality+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)' Description:'Annotations of causal verbs, nouns and prepositions in context and lexicon file for causal verbs, nouns and prepositions.' Subject:'Arts and Humanities; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Annotations of causal verbs, nouns and prepositions in context and lexicon file for causal verbs, nouns and prepositions.","Subject":" Computer and Information Science","Keywords":"annotated training suite; annotation; causal event; English-German parallel data; extraction of causal relations; German; Lexicon; trigger causality"},{"pid":"doi:10.15139/S3/BDZER9","Title":"A qualitative and comparative study of the Raleigh State Hospital’s Admissions Ledger, 1856-1911","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A qualitative and comparative study of the Raleigh State Hospital’s Admissions Ledger, 1856-1911' Description:'This paper is a collection of observations based on qualitative analyses of nineteenth- and early twentieth-century admissions ledgers from American asylums and related archival materials. I review the kinds of data collected and hint at the possible “how’s” and “from whom’s,” which remain uncertain. The details of the admissions process at American asylums varied state by state and even institution by institution and are revealed only through what little documentation remains, the records created as a result of admissions, which offer only glimpses of the possible exchanges that facilitated admissions processes. I offer preliminary findings from a close reading of the Raleigh State Hospital (Dorothea Dix Hospital) admission ledger and a comparative study of admissions ledger samples from a selection of contemporary American asylums. I look at the role these ledgers played in governmental reporting and professional knowledge sharing, especially with regard to the uses and misuses of statistics within the burgeoning field of psychiatry. I also take note of where recordkeeping points to possible patient experiences, though more complete evidence of these experiences requires much more work, review of other kinds of documentation, especially from the patient perspective. Finally, I offer a theoretical understanding of the records that I have developed over the course of my time with them and grounded in critical feminist and race theory.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Psychiatric hospital patients; Psychiatric hospitals; Psychiatric hospitals--Administration.; Psychiatric hospitals--Illinois.; Psychiatric hospitals--North Carolina.; Psychiatric hospitals--North Carolina--History.; Psychiatric hospitals--North Carolina--Raleigh.; Psychiatric hospitals--Pennsylvania.; Psychiatric hospitals--Records.; Psychiatric hospitals--South Carolina.; Psychiatric hospitals--United States.; Psychiatric hospitals--United States--Administration.; Psychiatric hospitals--United States--History.; Psychiatric hospitals--United States--History--19th century.; Psychiatric hospitals--United States--History--20th century.+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A qualitative and comparative study of the Raleigh State Hospital’s Admissions Ledger, 1856-1911' Description:'This paper is a collection of observations based on qualitative analyses of nineteenth- and early twentieth-century admissions ledgers from American asylums and related archival materials. I review the kinds of data collected and hint at the possible “how’s” and “from whom’s,” which remain uncertain. The details of the admissions process at American asylums varied state by state and even institution by institution and are revealed only through what little documentation remains, the records created as a result of admissions, which offer only glimpses of the possible exchanges that facilitated admissions processes. I offer preliminary findings from a close reading of the Raleigh State Hospital (Dorothea Dix Hospital) admission ledger and a comparative study of admissions ledger samples from a selection of contemporary American asylums. I look at the role these ledgers played in governmental reporting and professional knowledge sharing, especially with regard to the uses and misuses of statistics within the burgeoning field of psychiatry. I also take note of where recordkeeping points to possible patient experiences, though more complete evidence of these experiences requires much more work, review of other kinds of documentation, especially from the patient perspective. Finally, I offer a theoretical understanding of the records that I have developed over the course of my time with them and grounded in critical feminist and race theory.' Subject:'Arts and Humanities; Computer and Information Science; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This paper is a collection of observations based on qualitative analyses of nineteenth- and early twentieth-century admissions ledgers from American asylums and related archival materials. I review the kinds of data collected and hint at the possible “how’s” and “from whom’s,” which remain uncertain. The details of the admissions process at American asylums varied state by state and even institution by institution and are revealed only through what little documentation remains, the records created as a result of admissions, which offer only glimpses of the possible exchanges that facilitated admissions processes. I offer preliminary findings from a close reading of the Raleigh State Hospital (Dorothea Dix Hospital) admission ledger and a comparative study of admissions ledger samples from a selection of contemporary American asylums. I look at the role these ledgers played in governmental reporting and professional knowledge sharing, especially with regard to the uses and misuses of statistics within the burgeoning field of psychiatry. I also take note of where recordkeeping points to possible patient experiences, though more complete evidence of these experiences requires much more work, review of other kinds of documentation, especially from the patient perspective. Finally, I offer a theoretical understanding of the records that I have developed over the course of my time with them and grounded in critical feminist and race theory.","Subject":" Computer and Information Science","Keywords":"Psychiatric hospital patients; Psychiatric hospitals; Psychiatric hospitals--Administration.; Psychiatric hospitals--Illinois.; Psychiatric hospitals--North Carolina.; Psychiatric hospitals--North Carolina--History.; Psychiatric hospitals--North Carolina--Raleigh.; Psychiatric hospitals--Pennsylvania.; Psychiatric hospitals--Records.; Psychiatric hospitals--South Carolina.; Psychiatric hospitals--United States.; Psychiatric hospitals--United States--Administration.; Psychiatric hospitals--United States--History.; Psychiatric hospitals--United States--History--19th century.; Psychiatric hospitals--United States--History--20th century."},{"pid":"doi:10.15139/S3/GGWWPN","Title":"2018 survey data regarding libraries preservation of scores with spiral and comb bindings","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'2018 survey data regarding libraries preservation of scores with spiral and comb bindings' Description:'Raw survey data collected between April 2 and April 25, 2018, used as the basis for an article describing why and how music libraries preserve scores with spiral and comb bindings.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Music libraries, preservation, conservation, scores, binding, spiral binding, comb binding+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'2018 survey data regarding libraries preservation of scores with spiral and comb bindings' Description:'Raw survey data collected between April 2 and April 25, 2018, used as the basis for an article describing why and how music libraries preserve scores with spiral and comb bindings.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Raw survey data collected between April 2 and April 25, 2018, used as the basis for an article describing why and how music libraries preserve scores with spiral and comb bindings.","Subject":"Computer and Information Science","Keywords":"Music libraries, preservation, conservation, scores, binding, spiral binding, comb binding"},{"pid":"doi:10.15139/S3/J6BOUB","Title":"Digital Health Literacy Community Workshop Materials","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Digital Health Literacy Community Workshop Materials' Description:'Materials inclusive of a powerpoint, handouts, and scripts in English and Spanish. Can be reused with acknowledgement of the creators and grant numbers. Use the materials to hold your own online or in person digital health literacy workshop. Original materials were generated by a partnership with NNLM All of Us and the Wisconsin Health Literacy programs.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {digital divide; health literacy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Digital Health Literacy Community Workshop Materials' Description:'Materials inclusive of a powerpoint, handouts, and scripts in English and Spanish. Can be reused with acknowledgement of the creators and grant numbers. Use the materials to hold your own online or in person digital health literacy workshop. Original materials were generated by a partnership with NNLM All of Us and the Wisconsin Health Literacy programs.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Materials inclusive of a powerpoint, handouts, and scripts in English and Spanish. Can be reused with acknowledgement of the creators and grant numbers. Use the materials to hold your own online or in person digital health literacy workshop. Original materials were generated by a partnership with NNLM All of Us and the Wisconsin Health Literacy programs.","Subject":"Computer and Information Science","Keywords":"digital divide; health literacy"},{"pid":"doi:10.15139/S3/NVJXAY","Title":"Replication Data for: Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests' Description:'Data and code used for the above referenced paper' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {decision tree; hepatitis C virus; random forest+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests' Description:'Data and code used for the above referenced paper' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data and code used for the above referenced paper","Subject":"Computer and Information Science","Keywords":"decision tree; hepatitis C virus; random forest"},{"pid":"doi:10.18130/V3/2BM6LO","Title":"Pratikriti: A Data Replication Service in the GFFS","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Pratikriti: A Data Replication Service in the GFFS' Description:'This paper describes the design and implementation of Pratikriti, a data replication service with high availability, improved performance and strong datasecurity. Pratikriti provides automatic replication for filesystem resources in Genesis II [1][6]. Genesis II supports theLightweightExport service [2]; which maps the data residingon local machines into the Global Federated File System(GFFS) namespace. The physical copy of the data resides ona local File System (FS), but once exported, the data canbe accessed via the GFFS from anywhere subject to accesscontrol. Pratikriti extends the LightweightExport service inGenesis II to asynchronously replicate the data residing on ausers local FS to multiple sites. With replication, users get abetter Quality of Service (QoS), namely High Availability (HA)and improved performance. Pratikriti acts like the Dropbox TMi.e., the local data is securely replicated and kept eventuallyconsistent among multiple sites without human intervention.The system copes with server failures by transparentlyswitching over to the next available replica server. We showthat our solution successfully replicates the data to multiplesites while providing high availability and performance.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {High Availability, Quality of Service, Federated file systems, Grid and Cloud file systems.+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Pratikriti: A Data Replication Service in the GFFS' Description:'This paper describes the design and implementation of Pratikriti, a data replication service with high availability, improved performance and strong datasecurity. Pratikriti provides automatic replication for filesystem resources in Genesis II [1][6]. Genesis II supports theLightweightExport service [2]; which maps the data residingon local machines into the Global Federated File System(GFFS) namespace. The physical copy of the data resides ona local File System (FS), but once exported, the data canbe accessed via the GFFS from anywhere subject to accesscontrol. Pratikriti extends the LightweightExport service inGenesis II to asynchronously replicate the data residing on ausers local FS to multiple sites. With replication, users get abetter Quality of Service (QoS), namely High Availability (HA)and improved performance. Pratikriti acts like the Dropbox TMi.e., the local data is securely replicated and kept eventuallyconsistent among multiple sites without human intervention.The system copes with server failures by transparentlyswitching over to the next available replica server. We showthat our solution successfully replicates the data to multiplesites while providing high availability and performance.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This paper describes the design and implementation of Pratikriti, a data replication service with high availability, improved performance and strong datasecurity. Pratikriti provides automatic replication for filesystem resources in Genesis II [1][6]. Genesis II supports theLightweightExport service [2]; which maps the data residingon local machines into the Global Federated File System(GFFS) namespace. The physical copy of the data resides ona local File System (FS), but once exported, the data canbe accessed via the GFFS from anywhere subject to accesscontrol. Pratikriti extends the LightweightExport service inGenesis II to asynchronously replicate the data residing on ausers local FS to multiple sites. With replication, users get abetter Quality of Service (QoS), namely High Availability (HA)and improved performance. Pratikriti acts like the Dropbox TMi.e., the local data is securely replicated and kept eventuallyconsistent among multiple sites without human intervention.The system copes with server failures by transparentlyswitching over to the next available replica server. We showthat our solution successfully replicates the data to multiplesites while providing high availability and performance.","Subject":"Computer and Information Science","Keywords":"High Availability, Quality of Service, Federated file systems, Grid and Cloud file systems."},{"pid":"doi:10.18130/V3/36HFKH","Title":"Documentation and Metadata","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Documentation and Metadata' Description:'Data Documentation and Metadata session from the 2015 Virginia Data Management Bootcamp. Introduces non-structural (data dictionaries, read me files, code books) and structured ways (XML schemas) to document research data.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {metadata; readme file; xml+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Documentation and Metadata' Description:'Data Documentation and Metadata session from the 2015 Virginia Data Management Bootcamp. Introduces non-structural (data dictionaries, read me files, code books) and structured ways (XML schemas) to document research data.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data Documentation and Metadata session from the 2015 Virginia Data Management Bootcamp. Introduces non-structural (data dictionaries, read me files, code books) and structured ways (XML schemas) to document research data.","Subject":"Computer and Information Science","Keywords":"metadata; readme file; xml"},{"pid":"doi:10.18130/V3/M9CP9C","Title":"Thermal Energy Harvesting Profiles in Residential Settings","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Thermal Energy Harvesting Profiles in Residential Settings' Description:'This repository contains the raw dataset, computed parameters and supporting material for the paper 'Dataset: Thermal Energy Harvesting Profiles in Residential Settings', accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal.We recommend users to navigate this dataset using the Tree view option since files are organized by folders. The 'README.md' file in the root directory provides a brief explanation of this repository contents.This material is based upon work supported in part by the National Science Foundation under grant CRISP-1735587.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Energy harvesting; IoT; Residential Settings; TEG+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Thermal Energy Harvesting Profiles in Residential Settings' Description:'This repository contains the raw dataset, computed parameters and supporting material for the paper 'Dataset: Thermal Energy Harvesting Profiles in Residential Settings', accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal.We recommend users to navigate this dataset using the Tree view option since files are organized by folders. The 'README.md' file in the root directory provides a brief explanation of this repository contents.This material is based upon work supported in part by the National Science Foundation under grant CRISP-1735587.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This repository contains the raw dataset, computed parameters and supporting material for the paper 'Dataset: Thermal Energy Harvesting Profiles in Residential Settings', accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal.We recommend users to navigate this dataset using the Tree view option since files are organized by folders. The 'README.md' file in the root directory provides a brief explanation of this repository contents.This material is based upon work supported in part by the National Science Foundation under grant CRISP-1735587.","Subject":"Computer and Information Science","Keywords":"Energy harvesting; IoT; Residential Settings; TEG"},{"pid":"doi:10.18130/V3/N9E9XP","Title":"Best Practices in Data Collection and Management Workshop","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Best Practices in Data Collection and Management Workshop' Description:'Ever need to help a researcher share and archive their research data? Would you know how to advise them on managing their data so it can be easily shared and re-used? This workshop will cover best practices for collecting and organizing research data related to the goal of data preservation and sharing. We will focus on best practices and tips for collecting data, including file naming, documentation/metadata, quality control, and versioning, as well as access and control/security, backup and storage, and licensing. We will discuss the library’s role in data management, and the opportunities and challenges around supporting data sharing efforts. Through case studies we will explore a typical research data scenario and propose solutions and services by the library and institutional partners. Finally, we discuss methods to stay up to date with data management related topics.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Data Management; Training; Workshop+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Best Practices in Data Collection and Management Workshop' Description:'Ever need to help a researcher share and archive their research data? Would you know how to advise them on managing their data so it can be easily shared and re-used? This workshop will cover best practices for collecting and organizing research data related to the goal of data preservation and sharing. We will focus on best practices and tips for collecting data, including file naming, documentation/metadata, quality control, and versioning, as well as access and control/security, backup and storage, and licensing. We will discuss the library’s role in data management, and the opportunities and challenges around supporting data sharing efforts. Through case studies we will explore a typical research data scenario and propose solutions and services by the library and institutional partners. Finally, we discuss methods to stay up to date with data management related topics.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Ever need to help a researcher share and archive their research data? Would you know how to advise them on managing their data so it can be easily shared and re-used? This workshop will cover best practices for collecting and organizing research data related to the goal of data preservation and sharing. We will focus on best practices and tips for collecting data, including file naming, documentation/metadata, quality control, and versioning, as well as access and control/security, backup and storage, and licensing. We will discuss the library’s role in data management, and the opportunities and challenges around supporting data sharing efforts. Through case studies we will explore a typical research data scenario and propose solutions and services by the library and institutional partners. Finally, we discuss methods to stay up to date with data management related topics.","Subject":"Computer and Information Science","Keywords":"Data Management; Training; Workshop"},{"pid":"doi:10.18130/V3/YIZOVR","Title":"Naming Authority and Clustering Using Author Names from UVa CS Department's Technical Report Collection","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Naming Authority and Clustering Using Author Names from UVa CS Department's Technical Report Collection' Description:'We examined naming authority and author name clustering in academic works. Specifically, we focused on a collection of reports from the University of Virginia’s Computer Science Department. Our research yielded a test list of names and a resulting file that correctly groups names referring to the same author, to the best of our knowledge' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {authority control+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Naming Authority and Clustering Using Author Names from UVa CS Department's Technical Report Collection' Description:'We examined naming authority and author name clustering in academic works. Specifically, we focused on a collection of reports from the University of Virginia’s Computer Science Department. Our research yielded a test list of names and a resulting file that correctly groups names referring to the same author, to the best of our knowledge' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"We examined naming authority and author name clustering in academic works. Specifically, we focused on a collection of reports from the University of Virginia’s Computer Science Department. Our research yielded a test list of names and a resulting file that correctly groups names referring to the same author, to the best of our knowledge","Subject":"Computer and Information Science","Keywords":"authority control"},{"pid":"doi:10.18130/V3/YQLJ5W","Title":"Baidu mobility data for January through April, 2020","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Baidu mobility data for January through April, 2020' Description:'This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data source and explaining what the data represent and to James Schlitt for scraping the data.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2019-ncov; Baidu; mobility; Wuhan+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Baidu mobility data for January through April, 2020' Description:'This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data source and explaining what the data represent and to James Schlitt for scraping the data.' Subject:'Computer and Information Science; Mathematical Sciences; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data source and explaining what the data represent and to James Schlitt for scraping the data.","Subject":"Computer and Information Science","Keywords":"2019-ncov; Baidu; mobility; Wuhan"},{"pid":"doi:10.18130/V3/YWTLHC","Title":"Performance of the Global Federated File System (GFFS)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Performance of the Global Federated File System (GFFS)' Description:'GFFS file transfer performance on LAN and WAN' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Federated file systems, Grid file systems, Cloud file systems.+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Performance of the Global Federated File System (GFFS)' Description:'GFFS file transfer performance on LAN and WAN' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"GFFS file transfer performance on LAN and WAN","Subject":"Computer and Information Science","Keywords":"Federated file systems, Grid file systems, Cloud file systems."},{"pid":"doi:10.18710/28SRMJ","Title":"Replication data for: User expectations and willingsness to share self-collected health","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: User expectations and willingsness to share self-collected health' Description:'This is a questionnaire used in a project where the aim was to understand what motivates people to share self-collected health data, collected by mobile wearables and sensors.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {health data sharing; health survey; mHealth; motivation; Public health; Wearable+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: User expectations and willingsness to share self-collected health' Description:'This is a questionnaire used in a project where the aim was to understand what motivates people to share self-collected health data, collected by mobile wearables and sensors.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a questionnaire used in a project where the aim was to understand what motivates people to share self-collected health data, collected by mobile wearables and sensors.","Subject":"Computer and Information Science","Keywords":"health data sharing; health survey; mHealth; motivation; Public health; Wearable"},{"pid":"doi:10.18710/2BQTJP","Title":"Replication Data for: 'epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation'' Description:'AbstractConstitutional epigenetic silencing of tumour suppressor genes has been detected in a small number of cancer patients. Recent finding have indicated that low-level mosaic methylation of the BRCA1 gene promoter occurs in 5-10% of healthy individuals and is associated with a significantly elevated risk of breast and ovarian cancer. This further suggests that similar mosaic constitutional methylation may occur in other tumour suppressor genes as well, potentially being a significant contributor to cancer burden. However, detection of low-level mosaic epigenetic events requires highly sensitive and robust methodology for methylation analysis.We here present epialleleR, a computational framework for sensitive detection, quantification and visualisation of low-frequency, mosaic epimutations in methylation sequencing data. We provide in-depth analysis of epialleleR performance using simulated and real data sets, as compared to the other three commonly applied tools for methylation assessment, and conclude that linkage to epihaplotype data allows very sensitive detection of low-frequency methylation events.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computational Biology; DNA methylation; epialleleR; Epigenomics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation'' Description:'AbstractConstitutional epigenetic silencing of tumour suppressor genes has been detected in a small number of cancer patients. Recent finding have indicated that low-level mosaic methylation of the BRCA1 gene promoter occurs in 5-10% of healthy individuals and is associated with a significantly elevated risk of breast and ovarian cancer. This further suggests that similar mosaic constitutional methylation may occur in other tumour suppressor genes as well, potentially being a significant contributor to cancer burden. However, detection of low-level mosaic epigenetic events requires highly sensitive and robust methodology for methylation analysis.We here present epialleleR, a computational framework for sensitive detection, quantification and visualisation of low-frequency, mosaic epimutations in methylation sequencing data. We provide in-depth analysis of epialleleR performance using simulated and real data sets, as compared to the other three commonly applied tools for methylation assessment, and conclude that linkage to epihaplotype data allows very sensitive detection of low-frequency methylation events.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"AbstractConstitutional epigenetic silencing of tumour suppressor genes has been detected in a small number of cancer patients. Recent finding have indicated that low-level mosaic methylation of the BRCA1 gene promoter occurs in 5-10% of healthy individuals and is associated with a significantly elevated risk of breast and ovarian cancer. This further suggests that similar mosaic constitutional methylation may occur in other tumour suppressor genes as well, potentially being a significant contributor to cancer burden. However, detection of low-level mosaic epigenetic events requires highly sensitive and robust methodology for methylation analysis.We here present epialleleR, a computational framework for sensitive detection, quantification and visualisation of low-frequency, mosaic epimutations in methylation sequencing data. We provide in-depth analysis of epialleleR performance using simulated and real data sets, as compared to the other three commonly applied tools for methylation assessment, and conclude that linkage to epihaplotype data allows very sensitive detection of low-frequency methylation events.","Subject":"Computer and Information Science","Keywords":"Computational Biology; DNA methylation; epialleleR; Epigenomics"},{"pid":"doi:10.18710/2BQTJP","Title":"Replication Data for: 'epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation'' Description:'This data set contains necessary data sets (simulated next-generation sequencing data, preprocessed public next-generation sequencing data, precomputed analysis results) used to evaluate performance of epialleleR (https://github.com/BBCG/epialleleR, http://www.bioconductor.org/packages/epialleleR/) - a computational framework for sensitive detection, quantification and visualisation of low-frequency, mosaic epimutations in methylation sequencing data. All the supplementary R scripts that were used for preparation, testing and analysis of data sets are also provided. For additional information please check epialleleR package README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computational Biology; DNA methylation; epialleleR; Epigenomics+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation'' Description:'This data set contains necessary data sets (simulated next-generation sequencing data, preprocessed public next-generation sequencing data, precomputed analysis results) used to evaluate performance of epialleleR (https://github.com/BBCG/epialleleR, http://www.bioconductor.org/packages/epialleleR/) - a computational framework for sensitive detection, quantification and visualisation of low-frequency, mosaic epimutations in methylation sequencing data. All the supplementary R scripts that were used for preparation, testing and analysis of data sets are also provided. For additional information please check epialleleR package README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains necessary data sets (simulated next-generation sequencing data, preprocessed public next-generation sequencing data, precomputed analysis results) used to evaluate performance of epialleleR (https://github.com/BBCG/epialleleR, http://www.bioconductor.org/packages/epialleleR/) - a computational framework for sensitive detection, quantification and visualisation of low-frequency, mosaic epimutations in methylation sequencing data. All the supplementary R scripts that were used for preparation, testing and analysis of data sets are also provided. For additional information please check epialleleR package README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently","Subject":"Computer and Information Science","Keywords":"Computational Biology; DNA methylation; epialleleR; Epigenomics"},{"pid":"doi:10.18710/4F4KJS","Title":"Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images' Description:'Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GPU memory, smaller receptive field than needed for semantic correspondence and the need to incorporate multi-scale features arise. The resolution of input images can be reduced, however, with significant loss of critical information. Based on the outlined issues, we introduce a novel research problem of training CNN models for very large images, and present ‘UltraMNIST dataset’, a simple yet representative benchmark dataset for this task. UltraMNIST has been designed using the popular MNIST digits with additional levels of complexity added to replicate well the challenges of real-world problems. We present two variants of the problem: ‘UltraMNIST classification’ and ‘Budget-aware UltraMNIST classification’. The standard UltraMNIST classification benchmark is intended to facilitate the development of novel CNN training methods that make the effective use of the best available GPU resources. The budget-aware variant is intended to promote development of methods that work under constrained GPU memory. For the development of competitive solutions, we present several baseline models for the standard benchmark and its budget-aware variant. We study the effect of reducing resolution on the performance and present results for baseline models involving pretrained backbones from among the popular state-of-the-art models. Finally, with the presented benchmark dataset and the baselines, we hope to pave the ground for a new generation of CNN methods suitable for handling large images in an efficient and resource-light manner. UltraMNIST dataset comprises very large-scale images, each of 4000x4000 pixels with 3-5 digits per image. Each of these digits has been extracted from the original MNIST dataset. Your task is to predict the sum of the digits per image, and this number can be anything from 0 to 27.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {CNN classification; Large Scale Image Classification; Ultra Large MNIST dataset; Variable scale features+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images' Description:'Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GPU memory, smaller receptive field than needed for semantic correspondence and the need to incorporate multi-scale features arise. The resolution of input images can be reduced, however, with significant loss of critical information. Based on the outlined issues, we introduce a novel research problem of training CNN models for very large images, and present ‘UltraMNIST dataset’, a simple yet representative benchmark dataset for this task. UltraMNIST has been designed using the popular MNIST digits with additional levels of complexity added to replicate well the challenges of real-world problems. We present two variants of the problem: ‘UltraMNIST classification’ and ‘Budget-aware UltraMNIST classification’. The standard UltraMNIST classification benchmark is intended to facilitate the development of novel CNN training methods that make the effective use of the best available GPU resources. The budget-aware variant is intended to promote development of methods that work under constrained GPU memory. For the development of competitive solutions, we present several baseline models for the standard benchmark and its budget-aware variant. We study the effect of reducing resolution on the performance and present results for baseline models involving pretrained backbones from among the popular state-of-the-art models. Finally, with the presented benchmark dataset and the baselines, we hope to pave the ground for a new generation of CNN methods suitable for handling large images in an efficient and resource-light manner. UltraMNIST dataset comprises very large-scale images, each of 4000x4000 pixels with 3-5 digits per image. Each of these digits has been extracted from the original MNIST dataset. Your task is to predict the sum of the digits per image, and this number can be anything from 0 to 27.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GPU memory, smaller receptive field than needed for semantic correspondence and the need to incorporate multi-scale features arise. The resolution of input images can be reduced, however, with significant loss of critical information. Based on the outlined issues, we introduce a novel research problem of training CNN models for very large images, and present ‘UltraMNIST dataset’, a simple yet representative benchmark dataset for this task. UltraMNIST has been designed using the popular MNIST digits with additional levels of complexity added to replicate well the challenges of real-world problems. We present two variants of the problem: ‘UltraMNIST classification’ and ‘Budget-aware UltraMNIST classification’. The standard UltraMNIST classification benchmark is intended to facilitate the development of novel CNN training methods that make the effective use of the best available GPU resources. The budget-aware variant is intended to promote development of methods that work under constrained GPU memory. For the development of competitive solutions, we present several baseline models for the standard benchmark and its budget-aware variant. We study the effect of reducing resolution on the performance and present results for baseline models involving pretrained backbones from among the popular state-of-the-art models. Finally, with the presented benchmark dataset and the baselines, we hope to pave the ground for a new generation of CNN methods suitable for handling large images in an efficient and resource-light manner. UltraMNIST dataset comprises very large-scale images, each of 4000x4000 pixels with 3-5 digits per image. Each of these digits has been extracted from the original MNIST dataset. Your task is to predict the sum of the digits per image, and this number can be anything from 0 to 27.","Subject":"Computer and Information Science","Keywords":"CNN classification; Large Scale Image Classification; Ultra Large MNIST dataset; Variable scale features"},{"pid":"doi:10.18710/5DGE7C","Title":"GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters' Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters' Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' Subject:'Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.","Subject":"Computer and Information Science","Keywords":"humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS"},{"pid":"doi:10.18710/6ZWC9Z","Title":"Replication data for Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research' Description:'This dataset contains a list of 423 consumer-based wrist-worn activity trackers and smart watches, capable of collecting and estimating physical activity levels in individuals, using accelerometer and other sensors. Data were collected by automatic and manual searches through six online and offline databases, as well as manual collecting of data from company web sites. Data were collected in 2017, and contains all identified devices released between 2011 (earliest identified device) and July 2017. For each device, 12 attributes are included. See list in the ReadMe file.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Fitness Trackers; Physical activity; Smart watch; Wearables+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research' Description:'This dataset contains a list of 423 consumer-based wrist-worn activity trackers and smart watches, capable of collecting and estimating physical activity levels in individuals, using accelerometer and other sensors. Data were collected by automatic and manual searches through six online and offline databases, as well as manual collecting of data from company web sites. Data were collected in 2017, and contains all identified devices released between 2011 (earliest identified device) and July 2017. For each device, 12 attributes are included. See list in the ReadMe file.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains a list of 423 consumer-based wrist-worn activity trackers and smart watches, capable of collecting and estimating physical activity levels in individuals, using accelerometer and other sensors. Data were collected by automatic and manual searches through six online and offline databases, as well as manual collecting of data from company web sites. Data were collected in 2017, and contains all identified devices released between 2011 (earliest identified device) and July 2017. For each device, 12 attributes are included. See list in the ReadMe file.","Subject":"Computer and Information Science","Keywords":"Fitness Trackers; Physical activity; Smart watch; Wearables"},{"pid":"doi:10.18710/7JWAZX","Title":"Manually annotated 3-digit occupation code training set from the Norwegian 1950 census","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Manually annotated 3-digit occupation code training set from the Norwegian 1950 census' Description:'Manually annotated 3-digit occupational codes from the Norwegian full count 1950 population census.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Digit codes; Machine learning; Population census; Training dataset+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Manually annotated 3-digit occupation code training set from the Norwegian 1950 census' Description:'Manually annotated 3-digit occupational codes from the Norwegian full count 1950 population census.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Manually annotated 3-digit occupational codes from the Norwegian full count 1950 population census.","Subject":"Computer and Information Science","Keywords":"Digit codes; Machine learning; Population census; Training dataset"},{"pid":"doi:10.18710/7TUIJL","Title":"Replication data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 2)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 2)' Description:'Some research has indicated that the relationship between students' study behavior and their academic performance is as strong as the relationship to more common predictors such as past performance and test scores. However, knowledge about students' study behavior, how behavior develops and is influenced by program and course design, and consequently, the effect various design parameters have on learning is limited. This data is part of a PhD project and relates to Study 2.This mixed-method study followed a population of computing students through their first year. Results from in-depth interviews with students throughout their first year found that the educational structure and organization of a study program conditions the students' study behavior. In order to further investigate these tendencies, two surveys (N=215) were conducted within the whole first-year student population at the beginning and end of the year. The dataset for this analysis is included in this repository. A significant difference found was in the use of surface and deep strategies at the beginning and end for the first year, indicating that students shift from deep to surface learning during the year. Even if students initially seek a deep content-driven approach to learning, the structure of the education and other organizational factors may be the cause of a more surface and task-focused approach towards the end of the first year. Students' study behavior is constrained by the educational design, which furthermore may lead to different learning outcomes than desired. Researching and developing learning goals, course content, lectures and assignments is one way to improve computing education; however, this research suggests that taking a comprehensive and integrated approach to educational design might also lead to improvements.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; mixed method research; questionnaires+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 2)' Description:'Some research has indicated that the relationship between students' study behavior and their academic performance is as strong as the relationship to more common predictors such as past performance and test scores. However, knowledge about students' study behavior, how behavior develops and is influenced by program and course design, and consequently, the effect various design parameters have on learning is limited. This data is part of a PhD project and relates to Study 2.This mixed-method study followed a population of computing students through their first year. Results from in-depth interviews with students throughout their first year found that the educational structure and organization of a study program conditions the students' study behavior. In order to further investigate these tendencies, two surveys (N=215) were conducted within the whole first-year student population at the beginning and end of the year. The dataset for this analysis is included in this repository. A significant difference found was in the use of surface and deep strategies at the beginning and end for the first year, indicating that students shift from deep to surface learning during the year. Even if students initially seek a deep content-driven approach to learning, the structure of the education and other organizational factors may be the cause of a more surface and task-focused approach towards the end of the first year. Students' study behavior is constrained by the educational design, which furthermore may lead to different learning outcomes than desired. Researching and developing learning goals, course content, lectures and assignments is one way to improve computing education; however, this research suggests that taking a comprehensive and integrated approach to educational design might also lead to improvements.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Some research has indicated that the relationship between students' study behavior and their academic performance is as strong as the relationship to more common predictors such as past performance and test scores. However, knowledge about students' study behavior, how behavior develops and is influenced by program and course design, and consequently, the effect various design parameters have on learning is limited. This data is part of a PhD project and relates to Study 2.This mixed-method study followed a population of computing students through their first year. Results from in-depth interviews with students throughout their first year found that the educational structure and organization of a study program conditions the students' study behavior. In order to further investigate these tendencies, two surveys (N=215) were conducted within the whole first-year student population at the beginning and end of the year. The dataset for this analysis is included in this repository. A significant difference found was in the use of surface and deep strategies at the beginning and end for the first year, indicating that students shift from deep to surface learning during the year. Even if students initially seek a deep content-driven approach to learning, the structure of the education and other organizational factors may be the cause of a more surface and task-focused approach towards the end of the first year. Students' study behavior is constrained by the educational design, which furthermore may lead to different learning outcomes than desired. Researching and developing learning goals, course content, lectures and assignments is one way to improve computing education; however, this research suggests that taking a comprehensive and integrated approach to educational design might also lead to improvements.","Subject":"Computer and Information Science","Keywords":"computer science education; computing education; mixed method research; questionnaires"},{"pid":"doi:10.18710/8IKVEU","Title":"Bitcoin blockchain optimized for machine learning prediction model","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Bitcoin blockchain optimized for machine learning prediction model' Description:'This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al. which is submitted for review, in order to generate a machine learning model that predicts transaction inclusion. In each month of analysis, there is a block folder and a transaction folder. Information can be merged runtime through 'bhash' attribute (block hash).' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bitcoin; Blockchain; Machine Learning; Time Series+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Bitcoin blockchain optimized for machine learning prediction model' Description:'This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al. which is submitted for review, in order to generate a machine learning model that predicts transaction inclusion. In each month of analysis, there is a block folder and a transaction folder. Information can be merged runtime through 'bhash' attribute (block hash).' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al. which is submitted for review, in order to generate a machine learning model that predicts transaction inclusion. In each month of analysis, there is a block folder and a transaction folder. Information can be merged runtime through 'bhash' attribute (block hash).","Subject":"Computer and Information Science","Keywords":"Bitcoin; Blockchain; Machine Learning; Time Series"},{"pid":"doi:10.18710/98CMDR","Title":"Replication data for: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?' Description:'Article abstract: Many research and higher education institutions are interested in their contribution to achieving the United Nation’s Sustainable Development Goals (SDG). Commercial services from Elsevier and Times Higher Education are addressing this by developing bibliometric queries for measuring SDG-related publications and SDG university rankings. However, such services should be evaluated carefully before use due to the challenging nature of interpreting the SDGs, delimiting relevance and building queries. The aim of this bibliometric study was to build independent queries to find scholarly publications related to SDG 1, SDG 2, SDG 3, SDG 7, SDG 13, and SDG 14 using a consistent method based on SDG targets and indicators (the Bergen approach), and compare sets of publications retrieved by the Bergen and Elsevier approaches. Our results show that approach made a large difference, with little overlap in publications retrieved by the two approaches. We further demonstrate that different approaches can alter resulting country rankings. Choice of search terms, how they are combined and query structure play a role, related to differing interpretations of the SDGs and viewpoints on relevance. Our results suggest that currently available SDG rankings and tools should be used with caution at their current stage of development.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bibliometrics; Scientometrics; SDG; Sustainable Development Goals+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?' Description:'Article abstract: Many research and higher education institutions are interested in their contribution to achieving the United Nation’s Sustainable Development Goals (SDG). Commercial services from Elsevier and Times Higher Education are addressing this by developing bibliometric queries for measuring SDG-related publications and SDG university rankings. However, such services should be evaluated carefully before use due to the challenging nature of interpreting the SDGs, delimiting relevance and building queries. The aim of this bibliometric study was to build independent queries to find scholarly publications related to SDG 1, SDG 2, SDG 3, SDG 7, SDG 13, and SDG 14 using a consistent method based on SDG targets and indicators (the Bergen approach), and compare sets of publications retrieved by the Bergen and Elsevier approaches. Our results show that approach made a large difference, with little overlap in publications retrieved by the two approaches. We further demonstrate that different approaches can alter resulting country rankings. Choice of search terms, how they are combined and query structure play a role, related to differing interpretations of the SDGs and viewpoints on relevance. Our results suggest that currently available SDG rankings and tools should be used with caution at their current stage of development.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Article abstract: Many research and higher education institutions are interested in their contribution to achieving the United Nation’s Sustainable Development Goals (SDG). Commercial services from Elsevier and Times Higher Education are addressing this by developing bibliometric queries for measuring SDG-related publications and SDG university rankings. However, such services should be evaluated carefully before use due to the challenging nature of interpreting the SDGs, delimiting relevance and building queries. The aim of this bibliometric study was to build independent queries to find scholarly publications related to SDG 1, SDG 2, SDG 3, SDG 7, SDG 13, and SDG 14 using a consistent method based on SDG targets and indicators (the Bergen approach), and compare sets of publications retrieved by the Bergen and Elsevier approaches. Our results show that approach made a large difference, with little overlap in publications retrieved by the two approaches. We further demonstrate that different approaches can alter resulting country rankings. Choice of search terms, how they are combined and query structure play a role, related to differing interpretations of the SDGs and viewpoints on relevance. Our results suggest that currently available SDG rankings and tools should be used with caution at their current stage of development.","Subject":"Computer and Information Science","Keywords":"Bibliometrics; Scientometrics; SDG; Sustainable Development Goals"},{"pid":"doi:10.18710/98CMDR","Title":"Replication data for: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?' Description:'This dataset consists of 25 numbered files, associated with the article: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?' (2020) Quantitative Science Studies. This includes bibliometric search queries aiming to find publications linked to SDG 1 (No poverty), SDG 2 (Zero hunger), SDG 3 (Good health and well-being), SDG 7 (Affordable and clean energy), SDG 13 (Climate action) and SDG 14 (Life below water).The files are numbered as follows:00 - Readme01 - Vocabulary reference list of common terms02 - Queries (BAA & BTA, simple format) collected into one file; formatted for copying into Web of Science03-08 - Queries (BAA & BTA, expanded format); formatted for reading with notes and comments09 - Results of testing (see article)Copies of the files are provided in multiple file formats. See Readme for more information.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bibliometrics; Scientometrics; SDG; Sustainable Development Goals+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?' Description:'This dataset consists of 25 numbered files, associated with the article: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?' (2020) Quantitative Science Studies. This includes bibliometric search queries aiming to find publications linked to SDG 1 (No poverty), SDG 2 (Zero hunger), SDG 3 (Good health and well-being), SDG 7 (Affordable and clean energy), SDG 13 (Climate action) and SDG 14 (Life below water).The files are numbered as follows:00 - Readme01 - Vocabulary reference list of common terms02 - Queries (BAA & BTA, simple format) collected into one file; formatted for copying into Web of Science03-08 - Queries (BAA & BTA, expanded format); formatted for reading with notes and comments09 - Results of testing (see article)Copies of the files are provided in multiple file formats. See Readme for more information.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset consists of 25 numbered files, associated with the article: Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?' (2020) Quantitative Science Studies. This includes bibliometric search queries aiming to find publications linked to SDG 1 (No poverty), SDG 2 (Zero hunger), SDG 3 (Good health and well-being), SDG 7 (Affordable and clean energy), SDG 13 (Climate action) and SDG 14 (Life below water).The files are numbered as follows:00 - Readme01 - Vocabulary reference list of common terms02 - Queries (BAA & BTA, simple format) collected into one file; formatted for copying into Web of Science03-08 - Queries (BAA & BTA, expanded format); formatted for reading with notes and comments09 - Results of testing (see article)Copies of the files are provided in multiple file formats. See Readme for more information.","Subject":"Computer and Information Science","Keywords":"Bibliometrics; Scientometrics; SDG; Sustainable Development Goals"},{"pid":"doi:10.18710/AOQF05","Title":"Replication Data for: Dataset of motivational factors for using mobile health applications and systems","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset of motivational factors for using mobile health applications and systems' Description:'This dataset contains responses from a questionnaire about what motivates people to collect and share their health data for research and public health benefits. The online questionnaire was open for data collection between November 2018 and March 2020. The questionnaire was published in a Norwegian, English and French version, and published online. The questionnaire consisted of 38 questions. A total of 814 participants completed the questionnaire.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {chronic disease; diabetes; mhealth; Mobile Health; motivation; public health; Questionnaire; self-management; sickle cell; wearables+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset of motivational factors for using mobile health applications and systems' Description:'This dataset contains responses from a questionnaire about what motivates people to collect and share their health data for research and public health benefits. The online questionnaire was open for data collection between November 2018 and March 2020. The questionnaire was published in a Norwegian, English and French version, and published online. The questionnaire consisted of 38 questions. A total of 814 participants completed the questionnaire.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains responses from a questionnaire about what motivates people to collect and share their health data for research and public health benefits. The online questionnaire was open for data collection between November 2018 and March 2020. The questionnaire was published in a Norwegian, English and French version, and published online. The questionnaire consisted of 38 questions. A total of 814 participants completed the questionnaire.","Subject":"Computer and Information Science","Keywords":"chronic disease; diabetes; mhealth; Mobile Health; motivation; public health; Questionnaire; self-management; sickle cell; wearables"},{"pid":"doi:10.18710/BG1QNG","Title":"UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.","Subject":"Computer and Information Science","Keywords":"Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement"},{"pid":"doi:10.18710/ED8HSD","Title":"Replication Data for: 'ramr: an R package for detection of rare aberrantly methylated regions'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'ramr: an R package for detection of rare aberrantly methylated regions'' Description:'AbstractWith recent advances in the field of epigenetics, the focus is widening from large and frequent disease- or phenotype-related methylation signatures to rare alterations transmitted mitotically or transgenerationally (constitutional epimutations). Merging evidence indicate that such constitutional alterations, albeit occurring at a low mosaic level, may confer risk of disease later in life. Given their inherently low incidence rate and mosaic nature, there is a need for bioinformatic tools specifically designed to analyse such events.We have developed a method (ramr) to identify aberrantly methylated DNA regions (AMRs). ramr can be applied to methylation data obtained by array or next-generation sequencing techniques to discover AMRs being associated with elevated risk of cancer as well as other diseases. We assessed accuracy and performance metrics of ramr and confirmed its applicability for analysis of large public data sets. Using ramr we identified aberrantly methylated regions that are known or may potentially be associated with development of colorectal cancer and provided functional annotation of AMRs that arise at early developmental stages.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computational Biology; DNA methylation; Epigenomics; ramr+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'ramr: an R package for detection of rare aberrantly methylated regions'' Description:'AbstractWith recent advances in the field of epigenetics, the focus is widening from large and frequent disease- or phenotype-related methylation signatures to rare alterations transmitted mitotically or transgenerationally (constitutional epimutations). Merging evidence indicate that such constitutional alterations, albeit occurring at a low mosaic level, may confer risk of disease later in life. Given their inherently low incidence rate and mosaic nature, there is a need for bioinformatic tools specifically designed to analyse such events.We have developed a method (ramr) to identify aberrantly methylated DNA regions (AMRs). ramr can be applied to methylation data obtained by array or next-generation sequencing techniques to discover AMRs being associated with elevated risk of cancer as well as other diseases. We assessed accuracy and performance metrics of ramr and confirmed its applicability for analysis of large public data sets. Using ramr we identified aberrantly methylated regions that are known or may potentially be associated with development of colorectal cancer and provided functional annotation of AMRs that arise at early developmental stages.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"AbstractWith recent advances in the field of epigenetics, the focus is widening from large and frequent disease- or phenotype-related methylation signatures to rare alterations transmitted mitotically or transgenerationally (constitutional epimutations). Merging evidence indicate that such constitutional alterations, albeit occurring at a low mosaic level, may confer risk of disease later in life. Given their inherently low incidence rate and mosaic nature, there is a need for bioinformatic tools specifically designed to analyse such events.We have developed a method (ramr) to identify aberrantly methylated DNA regions (AMRs). ramr can be applied to methylation data obtained by array or next-generation sequencing techniques to discover AMRs being associated with elevated risk of cancer as well as other diseases. We assessed accuracy and performance metrics of ramr and confirmed its applicability for analysis of large public data sets. Using ramr we identified aberrantly methylated regions that are known or may potentially be associated with development of colorectal cancer and provided functional annotation of AMRs that arise at early developmental stages.","Subject":"Computer and Information Science","Keywords":"Computational Biology; DNA methylation; Epigenomics; ramr"},{"pid":"doi:10.18710/ED8HSD","Title":"Replication Data for: 'ramr: an R package for detection of rare aberrantly methylated regions'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'ramr: an R package for detection of rare aberrantly methylated regions'' Description:'This data set contains all the necessary data sets (biologically-relevantsimulated data sets, preprocessed public data sets) used to evaluateperformance and obtain results using ramr (https://github.com/BBCG/ramr, http://www.bioconductor.org/packages/ramr/) -a new method for identification of aberrantly methylated regions (AMRs). Allthe necessary R scripts that were used for preparation, testing and analysisof data sets are also provided. For additional information please check ramrpackage README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Computational Biology; DNA methylation; Epigenomics; ramr+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: 'ramr: an R package for detection of rare aberrantly methylated regions'' Description:'This data set contains all the necessary data sets (biologically-relevantsimulated data sets, preprocessed public data sets) used to evaluateperformance and obtain results using ramr (https://github.com/BBCG/ramr, http://www.bioconductor.org/packages/ramr/) -a new method for identification of aberrantly methylated regions (AMRs). Allthe necessary R scripts that were used for preparation, testing and analysisof data sets are also provided. For additional information please check ramrpackage README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This data set contains all the necessary data sets (biologically-relevantsimulated data sets, preprocessed public data sets) used to evaluateperformance and obtain results using ramr (https://github.com/BBCG/ramr, http://www.bioconductor.org/packages/ramr/) -a new method for identification of aberrantly methylated regions (AMRs). Allthe necessary R scripts that were used for preparation, testing and analysisof data sets are also provided. For additional information please check ramrpackage README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently","Subject":"Computer and Information Science","Keywords":"Computational Biology; DNA methylation; Epigenomics; ramr"},{"pid":"doi:10.18710/FGVLKS","Title":"Supporting data for 'A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets'","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supporting data for 'A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets'' Description:'This dataset is example data from the Norwegian Women and Cancer study. It is supporting information to our article 'A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets.' (In submission)The bulk of the data comes from measuring gene expression in bloodsamples from the Norwegian Women and Cancer study (NOWAC) on IlluminaWhole-Genome Gene Expression Bead Chips, HumanHT-12 v4. Please see README.txt for details' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {gene expresssion+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supporting data for 'A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets'' Description:'This dataset is example data from the Norwegian Women and Cancer study. It is supporting information to our article 'A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets.' (In submission)The bulk of the data comes from measuring gene expression in bloodsamples from the Norwegian Women and Cancer study (NOWAC) on IlluminaWhole-Genome Gene Expression Bead Chips, HumanHT-12 v4. Please see README.txt for details' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset is example data from the Norwegian Women and Cancer study. It is supporting information to our article 'A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets.' (In submission)The bulk of the data comes from measuring gene expression in bloodsamples from the Norwegian Women and Cancer study (NOWAC) on IlluminaWhole-Genome Gene Expression Bead Chips, HumanHT-12 v4. Please see README.txt for details","Subject":"Computer and Information Science","Keywords":"gene expresssion"},{"pid":"doi:10.18710/H5G3K5","Title":"NorFisk Dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'NorFisk Dataset' Description:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'NorFisk Dataset' Description:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' Subject:'Agricultural Sciences; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.","Subject":" Computer and Information Science","Keywords":"Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition"},{"pid":"doi:10.18710/HMJVFM","Title":"Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening' Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Classification; Detection; Human; Point Cloud; RGB-D; Vision+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening' Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.","Subject":"Computer and Information Science","Keywords":"Classification; Detection; Human; Point Cloud; RGB-D; Vision"},{"pid":"doi:10.18710/IDCUCI","Title":"Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells' Description:'Abstract:Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complexmorphological manifestations of the structures, all contribute to GT-hardness. Unsupervised segmentation approaches are quite inaccurate. Manual segmentation relying of heuristics and experience therefore remains the preferred approach. Nonetheless, this process is tedious, with 100s of structures present inside a single cell. Thus, generating analytic across large population of cells or performing advanced artificial intelligence (AI) tasks such as tracking is greatly limited. We bring modeling and deep learning to a nexus for solving this GT-hard problem, improving both the accuracy and speed of sub-cellular segmentation. We introduce the approach of simulation-supervision empowered with physics-based GT. In the simulation-supervision datasets used for training, the physics-based GT resolves the GT hardness while computational modeling of all the relevant physics aspects assists deep learning models to learn to compensate for physics and instrument induced limitations to a great extent. We show extensive results on segmentation of small vesicles and large diversity of mitochondria in diverse independent living and fixed cell datasets, demonstrate the adaptability of the approach across diverse microscopes through transfer learning, andillustrate biologically-relevant applications of automated analytic and motion analysis.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {artificial intelligence; cardiomyoblasts; deep learning; fluorescence microscopy; live-cell; mitochondria; segmentation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells' Description:'Abstract:Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complexmorphological manifestations of the structures, all contribute to GT-hardness. Unsupervised segmentation approaches are quite inaccurate. Manual segmentation relying of heuristics and experience therefore remains the preferred approach. Nonetheless, this process is tedious, with 100s of structures present inside a single cell. Thus, generating analytic across large population of cells or performing advanced artificial intelligence (AI) tasks such as tracking is greatly limited. We bring modeling and deep learning to a nexus for solving this GT-hard problem, improving both the accuracy and speed of sub-cellular segmentation. We introduce the approach of simulation-supervision empowered with physics-based GT. In the simulation-supervision datasets used for training, the physics-based GT resolves the GT hardness while computational modeling of all the relevant physics aspects assists deep learning models to learn to compensate for physics and instrument induced limitations to a great extent. We show extensive results on segmentation of small vesicles and large diversity of mitochondria in diverse independent living and fixed cell datasets, demonstrate the adaptability of the approach across diverse microscopes through transfer learning, andillustrate biologically-relevant applications of automated analytic and motion analysis.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract:Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complexmorphological manifestations of the structures, all contribute to GT-hardness. Unsupervised segmentation approaches are quite inaccurate. Manual segmentation relying of heuristics and experience therefore remains the preferred approach. Nonetheless, this process is tedious, with 100s of structures present inside a single cell. Thus, generating analytic across large population of cells or performing advanced artificial intelligence (AI) tasks such as tracking is greatly limited. We bring modeling and deep learning to a nexus for solving this GT-hard problem, improving both the accuracy and speed of sub-cellular segmentation. We introduce the approach of simulation-supervision empowered with physics-based GT. In the simulation-supervision datasets used for training, the physics-based GT resolves the GT hardness while computational modeling of all the relevant physics aspects assists deep learning models to learn to compensate for physics and instrument induced limitations to a great extent. We show extensive results on segmentation of small vesicles and large diversity of mitochondria in diverse independent living and fixed cell datasets, demonstrate the adaptability of the approach across diverse microscopes through transfer learning, andillustrate biologically-relevant applications of automated analytic and motion analysis.","Subject":"Computer and Information Science","Keywords":"artificial intelligence; cardiomyoblasts; deep learning; fluorescence microscopy; live-cell; mitochondria; segmentation"},{"pid":"doi:10.18710/JDWLVA","Title":"Replication Data for: Terrestrial Inputs Shape Coastal Microbial Communities in a High Arctic Fjord (Isfjorden, Svalbard)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Terrestrial Inputs Shape Coastal Microbial Communities in a High Arctic Fjord (Isfjorden, Svalbard)' Description:'The dataset was taken in June and August 2019 in Isfjorden, Svalbard, an Arctic fjord system with various rivers and glaciers supplying meltwater in summer. The aim of the study is to investigate the effect of river inputs during the spring freshet and later in summer on bacterial and archaeal communities and diversity. We hypothesized that changes in dissolved organic matter and nutrient inputs, and increasing stratification shapes the fjord microbial communities. We sequenced the 16S rRNA gene of filtere water or sediment samples using the Illumina MiSeq PE technology and investigated environmental controls using multivariate statistics.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {16S rRNA; Fjord; land-Ocean interaction; Metagenomics; microbial community; Svalbard+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Terrestrial Inputs Shape Coastal Microbial Communities in a High Arctic Fjord (Isfjorden, Svalbard)' Description:'The dataset was taken in June and August 2019 in Isfjorden, Svalbard, an Arctic fjord system with various rivers and glaciers supplying meltwater in summer. The aim of the study is to investigate the effect of river inputs during the spring freshet and later in summer on bacterial and archaeal communities and diversity. We hypothesized that changes in dissolved organic matter and nutrient inputs, and increasing stratification shapes the fjord microbial communities. We sequenced the 16S rRNA gene of filtere water or sediment samples using the Illumina MiSeq PE technology and investigated environmental controls using multivariate statistics.' Subject:'Computer and Information Science; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset was taken in June and August 2019 in Isfjorden, Svalbard, an Arctic fjord system with various rivers and glaciers supplying meltwater in summer. The aim of the study is to investigate the effect of river inputs during the spring freshet and later in summer on bacterial and archaeal communities and diversity. We hypothesized that changes in dissolved organic matter and nutrient inputs, and increasing stratification shapes the fjord microbial communities. We sequenced the 16S rRNA gene of filtere water or sediment samples using the Illumina MiSeq PE technology and investigated environmental controls using multivariate statistics.","Subject":"Computer and Information Science","Keywords":"16S rRNA; Fjord; land-Ocean interaction; Metagenomics; microbial community; Svalbard"},{"pid":"doi:10.18710/JQX7NW","Title":"Supplementary data for study: Study Behavior in Computing Education - a Systematic Literature Review","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Study Behavior in Computing Education - a Systematic Literature Review' Description:'As the field of computing education grows and matures, bringing together computing education and higher education research becomes essential. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This data summarizes the results of a systematic literature review intended to find out what we know about the study behaviors of computing students and the role of educational design in shaping them. A taxonomy of study behaviors was developed and used to clarify and classify the definitions of study behavior, process, strategies, habits, and tactics, as well as identifying their relations to the educational context. The search resulted in 107 included papers, which were analyzed according to defined criteria and variables. Results revealed a fragmented field of research with ambiguous terminology and a tendency to focus on very specific educational contexts. Although computing education as a field is well equipped to expand the knowledge about both study behaviors and the connection to the educational context, the lack of common terminology and theories limits the impact. Finally, this review stresses that future research and practice should consider adopting a common framework to define and systematize study behavior data and contextualize the research in such a way that researchers and educators across institutional borders can compare and utilize results. The main contribution of this work is to provide a comprehensive synthesis of study behaviors in computing education, the paper also discusses the theory behind these definitions and how the field can develop in the future.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; study behavior; systematic literature review+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Study Behavior in Computing Education - a Systematic Literature Review' Description:'As the field of computing education grows and matures, bringing together computing education and higher education research becomes essential. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This data summarizes the results of a systematic literature review intended to find out what we know about the study behaviors of computing students and the role of educational design in shaping them. A taxonomy of study behaviors was developed and used to clarify and classify the definitions of study behavior, process, strategies, habits, and tactics, as well as identifying their relations to the educational context. The search resulted in 107 included papers, which were analyzed according to defined criteria and variables. Results revealed a fragmented field of research with ambiguous terminology and a tendency to focus on very specific educational contexts. Although computing education as a field is well equipped to expand the knowledge about both study behaviors and the connection to the educational context, the lack of common terminology and theories limits the impact. Finally, this review stresses that future research and practice should consider adopting a common framework to define and systematize study behavior data and contextualize the research in such a way that researchers and educators across institutional borders can compare and utilize results. The main contribution of this work is to provide a comprehensive synthesis of study behaviors in computing education, the paper also discusses the theory behind these definitions and how the field can develop in the future.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As the field of computing education grows and matures, bringing together computing education and higher education research becomes essential. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This data summarizes the results of a systematic literature review intended to find out what we know about the study behaviors of computing students and the role of educational design in shaping them. A taxonomy of study behaviors was developed and used to clarify and classify the definitions of study behavior, process, strategies, habits, and tactics, as well as identifying their relations to the educational context. The search resulted in 107 included papers, which were analyzed according to defined criteria and variables. Results revealed a fragmented field of research with ambiguous terminology and a tendency to focus on very specific educational contexts. Although computing education as a field is well equipped to expand the knowledge about both study behaviors and the connection to the educational context, the lack of common terminology and theories limits the impact. Finally, this review stresses that future research and practice should consider adopting a common framework to define and systematize study behavior data and contextualize the research in such a way that researchers and educators across institutional borders can compare and utilize results. The main contribution of this work is to provide a comprehensive synthesis of study behaviors in computing education, the paper also discusses the theory behind these definitions and how the field can develop in the future.","Subject":"Computer and Information Science","Keywords":"computer science education; computing education; study behavior; systematic literature review"},{"pid":"doi:10.18710/KCL56N","Title":"Replication Data for: The DOAJ Spring Cleaning 2016 and What Was Removed – Tragic Loss or Good Riddance?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The DOAJ Spring Cleaning 2016 and What Was Removed – Tragic Loss or Good Riddance?' Description:'Data from DOAJ documenting the content of DOAJ before and after the removal of journals that didn't reapply for accreditation within the specified time limit, and derived data for analysis.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Open Access; OA journal; DOAJ+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The DOAJ Spring Cleaning 2016 and What Was Removed – Tragic Loss or Good Riddance?' Description:'Data from DOAJ documenting the content of DOAJ before and after the removal of journals that didn't reapply for accreditation within the specified time limit, and derived data for analysis.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data from DOAJ documenting the content of DOAJ before and after the removal of journals that didn't reapply for accreditation within the specified time limit, and derived data for analysis.","Subject":"Computer and Information Science","Keywords":"Open Access; OA journal; DOAJ"},{"pid":"doi:10.18710/MWLHOA","Title":"Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)' Description:'It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Study 1. In this study we present a survey and study of the number of undergraduate computer science programs in Norway and map their characteristics in order to gather an up to date overview of the selection of programs. Through a systematic review of all Norwegian undergraduate programs using data from national databases we have found that there are 12 institutions offering 56 different programs in Norway in 2018. The study showed that the characteristics of these programs vary, that is, the amount of computer science courses during the first year, the number of students, admission requirements, student satisfaction and time commitment. This article presents these findings along with an analysis of what characteristics impact the students’ contentment and learning experience.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; educational design; systematic mapping+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)' Description:'It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Study 1. In this study we present a survey and study of the number of undergraduate computer science programs in Norway and map their characteristics in order to gather an up to date overview of the selection of programs. Through a systematic review of all Norwegian undergraduate programs using data from national databases we have found that there are 12 institutions offering 56 different programs in Norway in 2018. The study showed that the characteristics of these programs vary, that is, the amount of computer science courses during the first year, the number of students, admission requirements, student satisfaction and time commitment. This article presents these findings along with an analysis of what characteristics impact the students’ contentment and learning experience.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Study 1. In this study we present a survey and study of the number of undergraduate computer science programs in Norway and map their characteristics in order to gather an up to date overview of the selection of programs. Through a systematic review of all Norwegian undergraduate programs using data from national databases we have found that there are 12 institutions offering 56 different programs in Norway in 2018. The study showed that the characteristics of these programs vary, that is, the amount of computer science courses during the first year, the number of students, admission requirements, student satisfaction and time commitment. This article presents these findings along with an analysis of what characteristics impact the students’ contentment and learning experience.","Subject":"Computer and Information Science","Keywords":"computer science education; computing education; educational design; systematic mapping"},{"pid":"doi:10.18710/NZJOIS","Title":"UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.","Subject":"Computer and Information Science","Keywords":"Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement"},{"pid":"doi:10.18710/O8FCIK","Title":"Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe' Description:'Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180 reflective essays written by TAs from three institutions across Europe were analyzed and coded. The thematic analysis resulted in five main challenges: becoming a professional TA, student-focused challenges, assessment, defining and using best practice and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; reflection essays; teaching assistants+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe' Description:'Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180 reflective essays written by TAs from three institutions across Europe were analyzed and coded. The thematic analysis resulted in five main challenges: becoming a professional TA, student-focused challenges, assessment, defining and using best practice and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180 reflective essays written by TAs from three institutions across Europe were analyzed and coded. The thematic analysis resulted in five main challenges: becoming a professional TA, student-focused challenges, assessment, defining and using best practice and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent.","Subject":"Computer and Information Science","Keywords":"computer science education; reflection essays; teaching assistants"},{"pid":"doi:10.18710/OYIH83","Title":"Manually annotated 3-digit occupation codes from the Norwegian 1950 census","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Manually annotated 3-digit occupation codes from the Norwegian 1950 census' Description:'Manually annotated 3-digit occupation codes from the Norwegian full count 1950 population census.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Digit codes; Machine learning; Population census; Training dataset+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Manually annotated 3-digit occupation codes from the Norwegian 1950 census' Description:'Manually annotated 3-digit occupation codes from the Norwegian full count 1950 population census.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Manually annotated 3-digit occupation codes from the Norwegian full count 1950 population census.","Subject":"Computer and Information Science","Keywords":"Digit codes; Machine learning; Population census; Training dataset"},{"pid":"doi:10.18710/PTQ8X7","Title":"Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature' Description:'Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult to quantify using data from singular cases. We present causalizeR (https://github.com/fjmurguzur/causalizeR), a text-processing algorithm that extracts causal relations from literature based on simple grammatical rules that can be used to synthesize evidence in unstructured texts in a structured manner. The algorithm extracts causal links using the relative position of nouns relative to the keyword of choice to extract the cause and effects of interest. The resulting database can be combined with network analysis tools to estimate the direct and indirect effects of multiple drivers at the network level, which is useful for synthesizing available knowledge and for hypothesis creation and testing. We illustrate the use of the algorithm by detecting causal relationships in scientific literature relating to the tundra ecosystem.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {algorithm; causal link; literature review; text mining+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature' Description:'Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult to quantify using data from singular cases. We present causalizeR (https://github.com/fjmurguzur/causalizeR), a text-processing algorithm that extracts causal relations from literature based on simple grammatical rules that can be used to synthesize evidence in unstructured texts in a structured manner. The algorithm extracts causal links using the relative position of nouns relative to the keyword of choice to extract the cause and effects of interest. The resulting database can be combined with network analysis tools to estimate the direct and indirect effects of multiple drivers at the network level, which is useful for synthesizing available knowledge and for hypothesis creation and testing. We illustrate the use of the algorithm by detecting causal relationships in scientific literature relating to the tundra ecosystem.' Subject:'Computer and Information Science; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult to quantify using data from singular cases. We present causalizeR (https://github.com/fjmurguzur/causalizeR), a text-processing algorithm that extracts causal relations from literature based on simple grammatical rules that can be used to synthesize evidence in unstructured texts in a structured manner. The algorithm extracts causal links using the relative position of nouns relative to the keyword of choice to extract the cause and effects of interest. The resulting database can be combined with network analysis tools to estimate the direct and indirect effects of multiple drivers at the network level, which is useful for synthesizing available knowledge and for hypothesis creation and testing. We illustrate the use of the algorithm by detecting causal relationships in scientific literature relating to the tundra ecosystem.","Subject":"Computer and Information Science","Keywords":"algorithm; causal link; literature review; text mining"},{"pid":"doi:10.18710/QAYI4O","Title":"Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class","Subject":"Computer and Information Science","Keywords":"Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar"},{"pid":"doi:10.18710/QXMY88","Title":"Replication data for: Dataset of wearable sensors with possibilities for data exchange","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Dataset of wearable sensors with possibilities for data exchange' Description:'Abstract: We performed a search to identify available wearable sensors systems that can collect patient health data and have data sharing capabilities. We performed an initial search of the Vandrico wearable database, and supplemented the resulting device list with an internet search. In addition to relevant meta-data (i.e. name, description, manufacturer, web-link, etc.) for each device, we also collected data on 13 attributes related to data exchange. I.e. device type, communication interface, data transfer protocol, smartphone and/or PC integration, direct integration to open health platform, 3rd platform integration with open health platform, support for health care system/middleware connection, recorded health data types, integrated sensors, medical device certification, whether or not the use can access collected data, device developer access, and device availability on the market. In addition, we grouped each device into three groups of actors that these devices are relevant for: EHR providers, software developers, and patients. The collected data can be used as an overview of available devices for future researchers with interest in the electronic health (eHealth) area.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data exchange; EHR; health data aggregators; health monitoring; mHealth; pHR; sensors; Wearable device+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Dataset of wearable sensors with possibilities for data exchange' Description:'Abstract: We performed a search to identify available wearable sensors systems that can collect patient health data and have data sharing capabilities. We performed an initial search of the Vandrico wearable database, and supplemented the resulting device list with an internet search. In addition to relevant meta-data (i.e. name, description, manufacturer, web-link, etc.) for each device, we also collected data on 13 attributes related to data exchange. I.e. device type, communication interface, data transfer protocol, smartphone and/or PC integration, direct integration to open health platform, 3rd platform integration with open health platform, support for health care system/middleware connection, recorded health data types, integrated sensors, medical device certification, whether or not the use can access collected data, device developer access, and device availability on the market. In addition, we grouped each device into three groups of actors that these devices are relevant for: EHR providers, software developers, and patients. The collected data can be used as an overview of available devices for future researchers with interest in the electronic health (eHealth) area.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract: We performed a search to identify available wearable sensors systems that can collect patient health data and have data sharing capabilities. We performed an initial search of the Vandrico wearable database, and supplemented the resulting device list with an internet search. In addition to relevant meta-data (i.e. name, description, manufacturer, web-link, etc.) for each device, we also collected data on 13 attributes related to data exchange. I.e. device type, communication interface, data transfer protocol, smartphone and/or PC integration, direct integration to open health platform, 3rd platform integration with open health platform, support for health care system/middleware connection, recorded health data types, integrated sensors, medical device certification, whether or not the use can access collected data, device developer access, and device availability on the market. In addition, we grouped each device into three groups of actors that these devices are relevant for: EHR providers, software developers, and patients. The collected data can be used as an overview of available devices for future researchers with interest in the electronic health (eHealth) area.","Subject":"Computer and Information Science","Keywords":"data exchange; EHR; health data aggregators; health monitoring; mHealth; pHR; sensors; Wearable device"},{"pid":"doi:10.18710/QXMY88","Title":"Replication data for: Dataset of wearable sensors with possibilities for data exchange","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Dataset of wearable sensors with possibilities for data exchange' Description:'This dataset contains a list of wearable sensors that can collect personal health data and are capable of sharing that data with other systems. For each device, 20 attributes are included.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {data exchange; EHR; health data aggregators; health monitoring; mHealth; pHR; sensors; Wearable device+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Dataset of wearable sensors with possibilities for data exchange' Description:'This dataset contains a list of wearable sensors that can collect personal health data and are capable of sharing that data with other systems. For each device, 20 attributes are included.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains a list of wearable sensors that can collect personal health data and are capable of sharing that data with other systems. For each device, 20 attributes are included.","Subject":"Computer and Information Science","Keywords":"data exchange; EHR; health data aggregators; health monitoring; mHealth; pHR; sensors; Wearable device"},{"pid":"doi:10.18738/T8/SLYTC9","Title":"Panel Report on Veteran, Race, and Gender Bias in Tech Hiring","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:' Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Civilian transition; Technology support; Veterans+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:'Arts and Humanities; Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.","Subject":" Computer and Information Science","Keywords":"Civilian transition; Technology support; Veterans"},{"pid":"doi:10.18738/T8/SR6HE0","Title":"Actual Use of Robots for COVID-19 response","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Actual Use of Robots for COVID-19 response' Description:'This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19 Robot Use+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Actual Use of Robots for COVID-19 response' Description:'This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.","Subject":"Computer and Information Science","Keywords":"COVID-19 Robot Use"},{"pid":"doi:10.18710/SSA38J","Title":"Replication Data for: Auroral Image Classification with Deep Neural Networks","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Auroral Image Classification with Deep Neural Networks' Description:'Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statistics and for supporting scientists to study auroral images in an objective, organized and repeatable manner. Although previous studies have presented tools for detecting aurora, there has been a lack of tools for classifying aurora into subclasses with a high precision (>90%). This work considers seven auroral subclasses; breakup, colored, arcs-bands, discrete, patchy, edge and clear-faint. Five different deep neural network architectures have been tested along with the well known classification methods; k nearest neighbor (KNN) and support vector machine (SVM). A set of clean nighttime color auroral images, without ambiguous auroral forms, moonlight, twilight, clouds etc., were used for training and testing. The deep neural networks generally outperformed the KNN and SVM methods, and the ResNet-50 architecture achieved the highest performance with an average classification precision of 92%. Although the results indicate that high precision aurora classification is an attainable objective using deep neural networks, it is stressed that a common consensus of the auroral morphology and the criteria for each class needs. The authors would like to thank Urban Brändström and the Swedish Institute of Space Physics for providing the original auroral image data. The image data archive is freely accessible at http://www2.irf.se/allsky/data.html, however, the users are obliged to contact the Kiruna Atmospheric and Geophysical Observatory before usage' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {aurora dataset; auroral classification; auroral images; convolutional neural networks; deep learning+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Auroral Image Classification with Deep Neural Networks' Description:'Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statistics and for supporting scientists to study auroral images in an objective, organized and repeatable manner. Although previous studies have presented tools for detecting aurora, there has been a lack of tools for classifying aurora into subclasses with a high precision (>90%). This work considers seven auroral subclasses; breakup, colored, arcs-bands, discrete, patchy, edge and clear-faint. Five different deep neural network architectures have been tested along with the well known classification methods; k nearest neighbor (KNN) and support vector machine (SVM). A set of clean nighttime color auroral images, without ambiguous auroral forms, moonlight, twilight, clouds etc., were used for training and testing. The deep neural networks generally outperformed the KNN and SVM methods, and the ResNet-50 architecture achieved the highest performance with an average classification precision of 92%. Although the results indicate that high precision aurora classification is an attainable objective using deep neural networks, it is stressed that a common consensus of the auroral morphology and the criteria for each class needs. The authors would like to thank Urban Brändström and the Swedish Institute of Space Physics for providing the original auroral image data. The image data archive is freely accessible at http://www2.irf.se/allsky/data.html, however, the users are obliged to contact the Kiruna Atmospheric and Geophysical Observatory before usage' Subject:'Computer and Information Science; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statistics and for supporting scientists to study auroral images in an objective, organized and repeatable manner. Although previous studies have presented tools for detecting aurora, there has been a lack of tools for classifying aurora into subclasses with a high precision (>90%). This work considers seven auroral subclasses; breakup, colored, arcs-bands, discrete, patchy, edge and clear-faint. Five different deep neural network architectures have been tested along with the well known classification methods; k nearest neighbor (KNN) and support vector machine (SVM). A set of clean nighttime color auroral images, without ambiguous auroral forms, moonlight, twilight, clouds etc., were used for training and testing. The deep neural networks generally outperformed the KNN and SVM methods, and the ResNet-50 architecture achieved the highest performance with an average classification precision of 92%. Although the results indicate that high precision aurora classification is an attainable objective using deep neural networks, it is stressed that a common consensus of the auroral morphology and the criteria for each class needs. The authors would like to thank Urban Brändström and the Swedish Institute of Space Physics for providing the original auroral image data. The image data archive is freely accessible at http://www2.irf.se/allsky/data.html, however, the users are obliged to contact the Kiruna Atmospheric and Geophysical Observatory before usage","Subject":"Computer and Information Science","Keywords":"aurora dataset; auroral classification; auroral images; convolutional neural networks; deep learning"},{"pid":"doi:10.18710/TGGCSZ","Title":"Replication Data for: Dataset of Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset of Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic' Description:'Data were collected from 113 participants, who shared their physical activity (PA) data using privately owned smart watches and activity trackers from Garmin and Fitbit.This data set consists of two data files: 'data.csv' and 'data raw.csv':- The first file ('data.csv') contains daily averages for steps, total energy expenditure (TEE), activity energy expenditure (AEE), moderate-to-vigorous physical activity (MVPA), light PA (LPA), moderate PA (MPA), vigorous PA (VPA), and sedentary time, grouped by month. In addition, daily averages for the whole year of 2019 and 2020 are included. Finally, separate variables for the first and second half of March 2020 (pre- and post COVID-19 lockdown in Norway) are included. - The second file ('data raw.csv') contains raw daily values for steps, TEE, AEE, MVPA, LPA, MPA, VPA, sedentary time, and non-wear time.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {actigraphy; COVID-19; energy expenditure; fitness tracker; public health; SARS-CoV-2; smart watch; steps; wearables+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset of Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic' Description:'Data were collected from 113 participants, who shared their physical activity (PA) data using privately owned smart watches and activity trackers from Garmin and Fitbit.This data set consists of two data files: 'data.csv' and 'data raw.csv':- The first file ('data.csv') contains daily averages for steps, total energy expenditure (TEE), activity energy expenditure (AEE), moderate-to-vigorous physical activity (MVPA), light PA (LPA), moderate PA (MPA), vigorous PA (VPA), and sedentary time, grouped by month. In addition, daily averages for the whole year of 2019 and 2020 are included. Finally, separate variables for the first and second half of March 2020 (pre- and post COVID-19 lockdown in Norway) are included. - The second file ('data raw.csv') contains raw daily values for steps, TEE, AEE, MVPA, LPA, MPA, VPA, sedentary time, and non-wear time.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Data were collected from 113 participants, who shared their physical activity (PA) data using privately owned smart watches and activity trackers from Garmin and Fitbit.This data set consists of two data files: 'data.csv' and 'data raw.csv':- The first file ('data.csv') contains daily averages for steps, total energy expenditure (TEE), activity energy expenditure (AEE), moderate-to-vigorous physical activity (MVPA), light PA (LPA), moderate PA (MPA), vigorous PA (VPA), and sedentary time, grouped by month. In addition, daily averages for the whole year of 2019 and 2020 are included. Finally, separate variables for the first and second half of March 2020 (pre- and post COVID-19 lockdown in Norway) are included. - The second file ('data raw.csv') contains raw daily values for steps, TEE, AEE, MVPA, LPA, MPA, VPA, sedentary time, and non-wear time.","Subject":"Computer and Information Science","Keywords":"actigraphy; COVID-19; energy expenditure; fitness tracker; public health; SARS-CoV-2; smart watch; steps; wearables"},{"pid":"doi:10.18710/TLA01U","Title":"140 HE and 111 CD3-stained colon biopsies of active and inactivate inflammatory bowel disease with epithelium annotated: the IBDColEpi dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'140 HE and 111 CD3-stained colon biopsies of active and inactivate inflammatory bowel disease with epithelium annotated: the IBDColEpi dataset' Description:'ALTERNATIVE DOWNLOAD ON GOOGLE DRIVE! To access the data, click 'Read Full Description' [+] and then click hereGeneral description and ethics approvals:The dataset contains 140 HE and 111 CD3 stained, formalin fixed paraffin embedded (FFPE) biopsies of colonic mucosa. The biopsies were extracted from the NTNU/St. Olavs hospital, Trondheim University Hospital (Norway) biobank of patients with confirmed inflammatory bowel disease or healthy controls with gastrointestinal symptoms but no macroscopic- or microscopic disease. Inclusion and colonoscopies were performed at the Department of Gastroenterology and Hepatology at St. Olavs hospital, Trondheim University Hospital from 2007 to 2018. All patients gave written informed consent and ethical approvals were obtained from the Central Norway Regional Committee for Medical and Health Research Ethics (reference number 2013/212/REKMidt). Consent to publish the anonymized whole slide image (WSI) dataset was given by REKMidt in 2021. Each database ID number used in this study was changed to new anonymized IDs only containing the information “active” or “inactive” disease and whether the WSI has haematoxylin-eosin (HE) staining or CD3 immunostaining. The biopsies included in the biobank are sampled such that one biopsy from an unaffected/inactive area and one from an area affected/active area were included from each patient and given a separate ID number. Hence, two biopsies with different ID numbers can be from the same patient. 'Active' is defined as the presence of intraepithelial granulocytes in one or more location in the biopsies. Still, the changes may be focal, hence majority of the epithelium may still lack intraepithelial granulocytes or other signs of active disease (crypt abscesses, granulation tissue, etc.).Annotation procedures:While annotating epithelium, we strived to draw lines as close to the basement membrane as possible where visible. All annotations were finally refined by the following QuPath scripts to ensure consistency throughout the datasets: - Minimum fragment size min 75 um^2 - Minimum hole size min 100 um^2 - remove white background with intensity greater than 220 average all channels with sigma 2.5 - expand and shrink all annotations 1.0 mm.Laboratory methods:FFPE sections of 4 µm were cut, mounted on slides and either stained with hematoxylin (Mayer’s) and Eosin (Y) (HE) or subjected to standard pre-treatment with quenching of endogenous peroxidase and boiling in Tris EDTA pH9 for antigen retrieval before immunohistochemistry. Primary antibody for the T lymphocyte marker was mouse anti-human CD3 (M7254, clone F7.2.38, Dako Agilent, CA, USA), diluted 1:50 in antibody diluent Tris buffer with 0.025% Tween-20 and 1% BSA and incubated overnight at 4 °C. Immunoreactions were visualized with the secondary antibody rabbit/mouse EnVisionHRP/DAB+ kit (K5007, Dako Agilent) and counterstaining with haematoxylin. Omission of the primary antibody was used as negative control and sections from human peripheral lymph node as positive control.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Annotations; Colon biopsies; Crohn's disease; Deep Learning; Digital Pathology; Inflammatory Bowel Disease; Segmentation; Ulcerative colitis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'140 HE and 111 CD3-stained colon biopsies of active and inactivate inflammatory bowel disease with epithelium annotated: the IBDColEpi dataset' Description:'ALTERNATIVE DOWNLOAD ON GOOGLE DRIVE! To access the data, click 'Read Full Description' [+] and then click hereGeneral description and ethics approvals:The dataset contains 140 HE and 111 CD3 stained, formalin fixed paraffin embedded (FFPE) biopsies of colonic mucosa. The biopsies were extracted from the NTNU/St. Olavs hospital, Trondheim University Hospital (Norway) biobank of patients with confirmed inflammatory bowel disease or healthy controls with gastrointestinal symptoms but no macroscopic- or microscopic disease. Inclusion and colonoscopies were performed at the Department of Gastroenterology and Hepatology at St. Olavs hospital, Trondheim University Hospital from 2007 to 2018. All patients gave written informed consent and ethical approvals were obtained from the Central Norway Regional Committee for Medical and Health Research Ethics (reference number 2013/212/REKMidt). Consent to publish the anonymized whole slide image (WSI) dataset was given by REKMidt in 2021. Each database ID number used in this study was changed to new anonymized IDs only containing the information “active” or “inactive” disease and whether the WSI has haematoxylin-eosin (HE) staining or CD3 immunostaining. The biopsies included in the biobank are sampled such that one biopsy from an unaffected/inactive area and one from an area affected/active area were included from each patient and given a separate ID number. Hence, two biopsies with different ID numbers can be from the same patient. 'Active' is defined as the presence of intraepithelial granulocytes in one or more location in the biopsies. Still, the changes may be focal, hence majority of the epithelium may still lack intraepithelial granulocytes or other signs of active disease (crypt abscesses, granulation tissue, etc.).Annotation procedures:While annotating epithelium, we strived to draw lines as close to the basement membrane as possible where visible. All annotations were finally refined by the following QuPath scripts to ensure consistency throughout the datasets: - Minimum fragment size min 75 um^2 - Minimum hole size min 100 um^2 - remove white background with intensity greater than 220 average all channels with sigma 2.5 - expand and shrink all annotations 1.0 mm.Laboratory methods:FFPE sections of 4 µm were cut, mounted on slides and either stained with hematoxylin (Mayer’s) and Eosin (Y) (HE) or subjected to standard pre-treatment with quenching of endogenous peroxidase and boiling in Tris EDTA pH9 for antigen retrieval before immunohistochemistry. Primary antibody for the T lymphocyte marker was mouse anti-human CD3 (M7254, clone F7.2.38, Dako Agilent, CA, USA), diluted 1:50 in antibody diluent Tris buffer with 0.025% Tween-20 and 1% BSA and incubated overnight at 4 °C. Immunoreactions were visualized with the secondary antibody rabbit/mouse EnVisionHRP/DAB+ kit (K5007, Dako Agilent) and counterstaining with haematoxylin. Omission of the primary antibody was used as negative control and sections from human peripheral lymph node as positive control.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"ALTERNATIVE DOWNLOAD ON GOOGLE DRIVE! To access the data, click 'Read Full Description' [+] and then click hereGeneral description and ethics approvals:The dataset contains 140 HE and 111 CD3 stained, formalin fixed paraffin embedded (FFPE) biopsies of colonic mucosa. The biopsies were extracted from the NTNU/St. Olavs hospital, Trondheim University Hospital (Norway) biobank of patients with confirmed inflammatory bowel disease or healthy controls with gastrointestinal symptoms but no macroscopic- or microscopic disease. Inclusion and colonoscopies were performed at the Department of Gastroenterology and Hepatology at St. Olavs hospital, Trondheim University Hospital from 2007 to 2018. All patients gave written informed consent and ethical approvals were obtained from the Central Norway Regional Committee for Medical and Health Research Ethics (reference number 2013/212/REKMidt). Consent to publish the anonymized whole slide image (WSI) dataset was given by REKMidt in 2021. Each database ID number used in this study was changed to new anonymized IDs only containing the information “active” or “inactive” disease and whether the WSI has haematoxylin-eosin (HE) staining or CD3 immunostaining. The biopsies included in the biobank are sampled such that one biopsy from an unaffected/inactive area and one from an area affected/active area were included from each patient and given a separate ID number. Hence, two biopsies with different ID numbers can be from the same patient. 'Active' is defined as the presence of intraepithelial granulocytes in one or more location in the biopsies. Still, the changes may be focal, hence majority of the epithelium may still lack intraepithelial granulocytes or other signs of active disease (crypt abscesses, granulation tissue, etc.).Annotation procedures:While annotating epithelium, we strived to draw lines as close to the basement membrane as possible where visible. All annotations were finally refined by the following QuPath scripts to ensure consistency throughout the datasets: - Minimum fragment size min 75 um^2 - Minimum hole size min 100 um^2 - remove white background with intensity greater than 220 average all channels with sigma 2.5 - expand and shrink all annotations 1.0 mm.Laboratory methods:FFPE sections of 4 µm were cut, mounted on slides and either stained with hematoxylin (Mayer’s) and Eosin (Y) (HE) or subjected to standard pre-treatment with quenching of endogenous peroxidase and boiling in Tris EDTA pH9 for antigen retrieval before immunohistochemistry. Primary antibody for the T lymphocyte marker was mouse anti-human CD3 (M7254, clone F7.2.38, Dako Agilent, CA, USA), diluted 1:50 in antibody diluent Tris buffer with 0.025% Tween-20 and 1% BSA and incubated overnight at 4 °C. Immunoreactions were visualized with the secondary antibody rabbit/mouse EnVisionHRP/DAB+ kit (K5007, Dako Agilent) and counterstaining with haematoxylin. Omission of the primary antibody was used as negative control and sections from human peripheral lymph node as positive control.","Subject":"Computer and Information Science","Keywords":"Annotations; Colon biopsies; Crohn's disease; Deep Learning; Digital Pathology; Inflammatory Bowel Disease; Segmentation; Ulcerative colitis"},{"pid":"doi:10.18738/T8/STLJP6","Title":"Centering Donor Consent Interview Questions","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Centering Donor Consent Interview Questions' Description:'This document includes a set of five questions used during 1 on 1 interviews with the music artist participant group as part of the Centering Donor Consent research study.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Consent+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Centering Donor Consent Interview Questions' Description:'This document includes a set of five questions used during 1 on 1 interviews with the music artist participant group as part of the Centering Donor Consent research study.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This document includes a set of five questions used during 1 on 1 interviews with the music artist participant group as part of the Centering Donor Consent research study.","Subject":"Computer and Information Science","Keywords":"Consent"},{"pid":"doi:10.18710/VIJXTL","Title":"Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Calibration; Point cloud; Registration; RGB-D; Vision+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.","Subject":"Computer and Information Science","Keywords":"Calibration; Point cloud; Registration; RGB-D; Vision"},{"pid":"doi:10.18710/VTTNXM","Title":"Replication Data for: A Study of Refactorings During Software Change Tasks","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A Study of Refactorings During Software Change Tasks' Description:'Please use 'Tree View' to browse the files efficiently.This dataset contains replication artifacts, data, and analysis artifacts for the study 'Refactoring strategies used by developers during software evolution tasks'. The study was presented in the paper 'A Study of Refactorings During Software Change Tasks'. The purpose of the study was to learn about how developers approach software change tasks that contain refactoring steps. Developers were recruited and presented with three software change tasks that contain steps that are amenable to automation with refactoring tools. The tasks were based on commits mined from open-source repositories. The developers solved the tasks while following a think aloud protocol. Interleaved with the tasks and just after all the tasks were finished we conducted interviews with the developer. We recorded their vocalizing, the interviews, their screens, and the resulting source code. We then transcribed the audio and annotated the transcripts with timestamps, and invocations of refactoring tools, if any. Article abstract:Developers frequently undertake software change tasks that could be partially or fully automated by refactoring tools. As has been reported by others, all too often, these refactoring steps are instead performed manually by developers. These missed opportunities are referred to as occasions of disuse of refactoring tools. We perform an observational study in which 17 developers with professional experience attempt to solve three change tasks with steps amenable to the use of refactoring tools. We found that the strategies developers use to approach these tasks shape their workflow, which in turn shapes the opportunities for refactoring tool use. We report on a number of findings about developer strategies, demonstrating the difficulty of aligning the kind of refactoring steps that emerge during a change task based on the strategy with the tools available. We also report on findings about refactoring tools, such as the difficulties developers face in controlling the scope of application of the tools. Our findings can help inform the designers of refactoring tools.Data description: This dataset contains the transcript data that was collected during the experiments. It also contains the screen recordings of the participants' screen that was collected during the experiment. It is also contains the source code that the participants' edits resulted in. It also contains the results of coding the transcripts and the videos with invocations of refactoring tools (also visible on the screen recording) and mentions of refactoring tools. It also contains the workflows that we created for each participant which contains a summary of all refactoring tool invocations (also visible in transcripts) and their overarching strategy.Participants worked in IntelliJ (Java IDE, integrated development environment).Their screen and audio was recorded with QuickTime Player.The source code was in Java 1.8.The code had a git repository.The project was built with Maven.The Maven build file contains maven-compiler-plugin, org.hamcrest.hamcrest-core, org.junit.junit5-api, org.junit.junit4-engine.The audio was transcribed with the Atom Editor. The CSV-files were created with Google Sheets.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {human factors; refactoring; software evolution+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A Study of Refactorings During Software Change Tasks' Description:'Please use 'Tree View' to browse the files efficiently.This dataset contains replication artifacts, data, and analysis artifacts for the study 'Refactoring strategies used by developers during software evolution tasks'. The study was presented in the paper 'A Study of Refactorings During Software Change Tasks'. The purpose of the study was to learn about how developers approach software change tasks that contain refactoring steps. Developers were recruited and presented with three software change tasks that contain steps that are amenable to automation with refactoring tools. The tasks were based on commits mined from open-source repositories. The developers solved the tasks while following a think aloud protocol. Interleaved with the tasks and just after all the tasks were finished we conducted interviews with the developer. We recorded their vocalizing, the interviews, their screens, and the resulting source code. We then transcribed the audio and annotated the transcripts with timestamps, and invocations of refactoring tools, if any. Article abstract:Developers frequently undertake software change tasks that could be partially or fully automated by refactoring tools. As has been reported by others, all too often, these refactoring steps are instead performed manually by developers. These missed opportunities are referred to as occasions of disuse of refactoring tools. We perform an observational study in which 17 developers with professional experience attempt to solve three change tasks with steps amenable to the use of refactoring tools. We found that the strategies developers use to approach these tasks shape their workflow, which in turn shapes the opportunities for refactoring tool use. We report on a number of findings about developer strategies, demonstrating the difficulty of aligning the kind of refactoring steps that emerge during a change task based on the strategy with the tools available. We also report on findings about refactoring tools, such as the difficulties developers face in controlling the scope of application of the tools. Our findings can help inform the designers of refactoring tools.Data description: This dataset contains the transcript data that was collected during the experiments. It also contains the screen recordings of the participants' screen that was collected during the experiment. It is also contains the source code that the participants' edits resulted in. It also contains the results of coding the transcripts and the videos with invocations of refactoring tools (also visible on the screen recording) and mentions of refactoring tools. It also contains the workflows that we created for each participant which contains a summary of all refactoring tool invocations (also visible in transcripts) and their overarching strategy.Participants worked in IntelliJ (Java IDE, integrated development environment).Their screen and audio was recorded with QuickTime Player.The source code was in Java 1.8.The code had a git repository.The project was built with Maven.The Maven build file contains maven-compiler-plugin, org.hamcrest.hamcrest-core, org.junit.junit5-api, org.junit.junit4-engine.The audio was transcribed with the Atom Editor. The CSV-files were created with Google Sheets.' Subject:'Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Please use 'Tree View' to browse the files efficiently.This dataset contains replication artifacts, data, and analysis artifacts for the study 'Refactoring strategies used by developers during software evolution tasks'. The study was presented in the paper 'A Study of Refactorings During Software Change Tasks'. The purpose of the study was to learn about how developers approach software change tasks that contain refactoring steps. Developers were recruited and presented with three software change tasks that contain steps that are amenable to automation with refactoring tools. The tasks were based on commits mined from open-source repositories. The developers solved the tasks while following a think aloud protocol. Interleaved with the tasks and just after all the tasks were finished we conducted interviews with the developer. We recorded their vocalizing, the interviews, their screens, and the resulting source code. We then transcribed the audio and annotated the transcripts with timestamps, and invocations of refactoring tools, if any. Article abstract:Developers frequently undertake software change tasks that could be partially or fully automated by refactoring tools. As has been reported by others, all too often, these refactoring steps are instead performed manually by developers. These missed opportunities are referred to as occasions of disuse of refactoring tools. We perform an observational study in which 17 developers with professional experience attempt to solve three change tasks with steps amenable to the use of refactoring tools. We found that the strategies developers use to approach these tasks shape their workflow, which in turn shapes the opportunities for refactoring tool use. We report on a number of findings about developer strategies, demonstrating the difficulty of aligning the kind of refactoring steps that emerge during a change task based on the strategy with the tools available. We also report on findings about refactoring tools, such as the difficulties developers face in controlling the scope of application of the tools. Our findings can help inform the designers of refactoring tools.Data description: This dataset contains the transcript data that was collected during the experiments. It also contains the screen recordings of the participants' screen that was collected during the experiment. It is also contains the source code that the participants' edits resulted in. It also contains the results of coding the transcripts and the videos with invocations of refactoring tools (also visible on the screen recording) and mentions of refactoring tools. It also contains the workflows that we created for each participant which contains a summary of all refactoring tool invocations (also visible in transcripts) and their overarching strategy.Participants worked in IntelliJ (Java IDE, integrated development environment).Their screen and audio was recorded with QuickTime Player.The source code was in Java 1.8.The code had a git repository.The project was built with Maven.The Maven build file contains maven-compiler-plugin, org.hamcrest.hamcrest-core, org.junit.junit5-api, org.junit.junit4-engine.The audio was transcribed with the Atom Editor. The CSV-files were created with Google Sheets.","Subject":"Computer and Information Science","Keywords":"human factors; refactoring; software evolution"},{"pid":"doi:10.18710/WNKSVX","Title":"Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables' Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables' Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway","Subject":"Computer and Information Science","Keywords":"bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro"},{"pid":"doi:10.18710/YLVIAN","Title":"Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)' Description:'Important learning happens outside organized lectures and labs, but much of the interaction between these educational design constructs and the study behavior of computing students is unknown. This data is part of a PhD project and relates to Studies 4 and 5. In these studies we follow a group of computing students through their year semester in order to explore these dependencies. Through weekly reports, students tracked their study behaviors. An exploratory cluster analysis was performed, mapping the students' organization, independent study, planning and priorities, time engagement, and use of different study environments. By comparing these aspects of student behavior to design parameters at both the program and course levels we get a holistic understanding of the student-driven learning environment. The results of this analysis confirm that there are close relationships between the educational design and when, where, and how students study.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; self reports+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)' Description:'Important learning happens outside organized lectures and labs, but much of the interaction between these educational design constructs and the study behavior of computing students is unknown. This data is part of a PhD project and relates to Studies 4 and 5. In these studies we follow a group of computing students through their year semester in order to explore these dependencies. Through weekly reports, students tracked their study behaviors. An exploratory cluster analysis was performed, mapping the students' organization, independent study, planning and priorities, time engagement, and use of different study environments. By comparing these aspects of student behavior to design parameters at both the program and course levels we get a holistic understanding of the student-driven learning environment. The results of this analysis confirm that there are close relationships between the educational design and when, where, and how students study.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Important learning happens outside organized lectures and labs, but much of the interaction between these educational design constructs and the study behavior of computing students is unknown. This data is part of a PhD project and relates to Studies 4 and 5. In these studies we follow a group of computing students through their year semester in order to explore these dependencies. Through weekly reports, students tracked their study behaviors. An exploratory cluster analysis was performed, mapping the students' organization, independent study, planning and priorities, time engagement, and use of different study environments. By comparing these aspects of student behavior to design parameters at both the program and course levels we get a holistic understanding of the student-driven learning environment. The results of this analysis confirm that there are close relationships between the educational design and when, where, and how students study.","Subject":"Computer and Information Science","Keywords":"computer science education; computing education; self reports"},{"pid":"doi:10.18710/ZOJHGJ","Title":"Replication Data for: Vortex imprints on a free surface as proxy for surface divergence","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:'Computer and Information Science'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Free-Surface; Turbulence; Vortex; Wavelet Analysis+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.","Subject":"Computer and Information Science","Keywords":"Free-Surface; Turbulence; Vortex; Wavelet Analysis"},{"pid":"doi:10.11588/data/7NFYJ0","Title":"Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]' Description:'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {biobased polymers, digital light processing, sustainable 3D printing+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vegetable Oils as Sustainable Inks for Additive Manufacturing: A Comparative Study [Data]' Description:'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject:'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.","Subject":" Other","Keywords":"biobased polymers, digital light processing, sustainable 3D printing"},{"pid":"doi:10.11588/data/GH511N","Title":"Turkology Annual Online – Full bibliographic records","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Turkology Annual Online – Full bibliographic records' Description:'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {annotated bibliography; Turkologie+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Turkology Annual Online – Full bibliographic records' Description:'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject:'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.","Subject":" Other","Keywords":"annotated bibliography; Turkologie"},{"pid":"doi:10.11588/data/HV4MJW","Title":"Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description:'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {pH-switch; protein engineering; receptor; WW domain; zinc switch+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description:'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject:'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.","Subject":" Other","Keywords":"pH-switch; protein engineering; receptor; WW domain; zinc switch"},{"pid":"doi:10.11588/data/KKTC9G","Title":"Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description:'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Beispieldaten / sample records; Datensatz / data set; Multilingual computing; XML-Schema / XML Schema+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description:'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject:'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.","Subject":" Other","Keywords":"Beispieldaten / sample records; Datensatz / data set; Multilingual computing; XML-Schema / XML Schema"},{"pid":"doi:10.11588/data/MYFILV","Title":"Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description:'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {ACE; Childhood Experiences; PCE; Psychotherapy Research+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description:'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.","Subject":" Other","Keywords":"ACE; Childhood Experiences; PCE; Psychotherapy Research"},{"pid":"doi:10.11588/data/ZAS2YZ","Title":"Strategic Migration Policy - HD.SMP 1.0 [research data]","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description:'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Bilateral Migration Agreements; International Cooperation; International Relations; Migration+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description:'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.","Subject":"Other","Keywords":"Bilateral Migration Agreements; International Cooperation; International Relations; Migration"},{"pid":"doi:10.15139/S3/0BKKHU","Title":"Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/0P513I","Title":"The Real-U Follow-Up Study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The Real-U Follow-Up Study' Description:'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {alcohol use; anxiety; COVID-19 coping; COVID-19 stressors; depression; drug use; mental health disorders; young adults+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The Real-U Follow-Up Study' Description:'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.","Subject":" Other","Keywords":"alcohol use; anxiety; COVID-19 coping; COVID-19 stressors; depression; drug use; mental health disorders; young adults"},{"pid":"doi:10.15139/S3/1GRSLV","Title":"Testing Dataset","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Testing Dataset' Description:'For Dataverse testing purposes only.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {IDEA Project+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Testing Dataset' Description:'For Dataverse testing purposes only.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"For Dataverse testing purposes only.","Subject":"Other","Keywords":"IDEA Project"},{"pid":"doi:10.15139/S3/1LAABO","Title":"Vision Zero Orlando: Action Plan (2021). Orlando, Florida","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Orlando: Action Plan (2021). Orlando, Florida' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Orlando: Action Plan (2021). Orlando, Florida' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/1SC2FN","Title":"Saving Lives with Safe Streets: Vision Zero (2019). Portland, Oregon","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Saving Lives with Safe Streets: Vision Zero (2019). Portland, Oregon' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Saving Lives with Safe Streets: Vision Zero (2019). Portland, Oregon' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/2MWHVA","Title":"Monmouth University National Poll, Number 214","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 214' Description:'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Joe Biden; Bernie Sanders; Covid; coronavirus; finances; health agencies; governors; media; public; Congress;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 214' Description:'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.","Subject":"Other","Keywords":"Donald Trump; Joe Biden; Bernie Sanders; Covid; coronavirus; finances; health agencies; governors; media; public; Congress;"},{"pid":"doi:10.15139/S3/358PGX","Title":"Vision Zero: No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero: No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero: No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/36MVPN","Title":"Monmouth University National Poll, Number 216","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 216' Description:'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Joe Biden; 2020 election; coronavirus; Covid; governors; health agencies; romantic relationship; Fox; CNN; finances; Congress; media; Justin Amash; U.S. House of Representatives; Barack Obama; vote by mail+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 216' Description:'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.","Subject":"Other","Keywords":"Donald Trump; Joe Biden; 2020 election; coronavirus; Covid; governors; health agencies; romantic relationship; Fox; CNN; finances; Congress; media; Justin Amash; U.S. House of Representatives; Barack Obama; vote by mail"},{"pid":"doi:10.15139/S3/4C55AS","Title":"Monmouth University Iowa Poll, Number 203","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Iowa Poll, Number 203' Description:'This survey was conducted among Iowa voters likely to attend the 2020 presidential caucus.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Joe Biden; Bernie Sanders; Elizabeth Warren; Amy Klobuchar; Pete Buttigieg; Cory Booker; Andrew Yang; Tom Steyer; Iowa; New Hampshire; Democratic Party;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Iowa Poll, Number 203' Description:'This survey was conducted among Iowa voters likely to attend the 2020 presidential caucus.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Iowa voters likely to attend the 2020 presidential caucus.","Subject":"Other","Keywords":"Joe Biden; Bernie Sanders; Elizabeth Warren; Amy Klobuchar; Pete Buttigieg; Cory Booker; Andrew Yang; Tom Steyer; Iowa; New Hampshire; Democratic Party;"},{"pid":"doi:10.15139/S3/4QEIGO","Title":"A comprehensive dataset of Superfund sites and their chemicals across the United States","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'A comprehensive dataset of Superfund sites and their chemicals across the United States' Description:'The Superfund dataset includes deleted, inactive, and active Superfund geolocations and their associated contaminant presences, contaminant media, description of site location (operable unit), site hazard assessment, and years listed (1981-2021). Additionally, the categorical health endpoints dataset includes known associations between Superfund site contaminants and categorical health endpoints (curated from the Comparative Toxicogenomics Database)' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Environmental Health Sciences; National Priorities List (NPL); Superfund Sites; U.S. Contaminants+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'A comprehensive dataset of Superfund sites and their chemicals across the United States' Description:'The Superfund dataset includes deleted, inactive, and active Superfund geolocations and their associated contaminant presences, contaminant media, description of site location (operable unit), site hazard assessment, and years listed (1981-2021). Additionally, the categorical health endpoints dataset includes known associations between Superfund site contaminants and categorical health endpoints (curated from the Comparative Toxicogenomics Database)' Subject:'Earth and Environmental Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The Superfund dataset includes deleted, inactive, and active Superfund geolocations and their associated contaminant presences, contaminant media, description of site location (operable unit), site hazard assessment, and years listed (1981-2021). Additionally, the categorical health endpoints dataset includes known associations between Superfund site contaminants and categorical health endpoints (curated from the Comparative Toxicogenomics Database)","Subject":" Other","Keywords":"Environmental Health Sciences; National Priorities List (NPL); Superfund Sites; U.S. Contaminants"},{"pid":"doi:10.15139/S3/5WVIMM","Title":"Vision Zero Rockville: Vision Zero Action Plan (2020). Rockville, Maryland","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Rockville: Vision Zero Action Plan (2020). Rockville, Maryland' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Rockville: Vision Zero Action Plan (2020). Rockville, Maryland' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/6TEXFU","Title":"Monmouth University National Poll, Number 213","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 213' Description:'This survey was conducted using a national sample and addresses President Trump, the state of the country, the 2020 presidential election and the coronavirus outbreak.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Joe Biden; 2020 election; coronavirus; Covid; governors; health agencies; public; media;child care; work from home; groceries; finances;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 213' Description:'This survey was conducted using a national sample and addresses President Trump, the state of the country, the 2020 presidential election and the coronavirus outbreak.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses President Trump, the state of the country, the 2020 presidential election and the coronavirus outbreak.","Subject":"Other","Keywords":"Donald Trump; Joe Biden; 2020 election; coronavirus; Covid; governors; health agencies; public; media;child care; work from home; groceries; finances;"},{"pid":"doi:10.15139/S3/8N27MV","Title":"Monmouth University California Poll, Number 209","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University California Poll, Number 209' Description:'This survey was conducted among California voters likely to vote in the Democratic presidential primary on March 3, 2020.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {California Democratic presidential primary; Bernie Sanders; Joe Biden; Mike Bloomberg; Elizabeth Warren; Pete Buttigieg; Amy Klobuchar; Tom Steyer; Tulsi Gabbard+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University California Poll, Number 209' Description:'This survey was conducted among California voters likely to vote in the Democratic presidential primary on March 3, 2020.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among California voters likely to vote in the Democratic presidential primary on March 3, 2020.","Subject":"Other","Keywords":"California Democratic presidential primary; Bernie Sanders; Joe Biden; Mike Bloomberg; Elizabeth Warren; Pete Buttigieg; Amy Klobuchar; Tom Steyer; Tulsi Gabbard"},{"pid":"doi:10.15139/S3/A8CINJ","Title":"Monmouth University National Poll, Number 239","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 239' Description:'This survey was conducted using a national sample and addresses results of the 2020 general election, the presidential transition process, if the country is united or divided, and the Covid pandemic's impact on Thanksgiving plans. This poll also includes job rating for Donald Trump and Congress and favorability ratings for Trump and Joe Biden, and questions on climate change, law and order, protests, and racial discrimination.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump, Joe Biden; Kamala Harris; US Congress; 2020 election; presidential transistion; fraud; political principles; US Constitution; Washington DC; coronavirus; Thanksgiving;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 239' Description:'This survey was conducted using a national sample and addresses results of the 2020 general election, the presidential transition process, if the country is united or divided, and the Covid pandemic's impact on Thanksgiving plans. This poll also includes job rating for Donald Trump and Congress and favorability ratings for Trump and Joe Biden, and questions on climate change, law and order, protests, and racial discrimination.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses results of the 2020 general election, the presidential transition process, if the country is united or divided, and the Covid pandemic's impact on Thanksgiving plans. This poll also includes job rating for Donald Trump and Congress and favorability ratings for Trump and Joe Biden, and questions on climate change, law and order, protests, and racial discrimination.","Subject":"Other","Keywords":"Donald Trump, Joe Biden; Kamala Harris; US Congress; 2020 election; presidential transistion; fraud; political principles; US Constitution; Washington DC; coronavirus; Thanksgiving;"},{"pid":"doi:10.15139/S3/ALVD99","Title":"Monmouth University New Hampshire Poll, Number 206","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 206' Description:'This survey was conducted among New Hampshire voters likely to vote in the Democratic presidential primary in February 2020. This release includes candidate choice and if the Iowa caucus and the Trump impeachment has impacted candidate support.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {New Hampshire primary; Donald Trump; impeachment; Iowa caucus; Bernie Sanders; Joe Biden; Pete Buttigieg; Elizabeth Warren; Amy Klobuchar+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 206' Description:'This survey was conducted among New Hampshire voters likely to vote in the Democratic presidential primary in February 2020. This release includes candidate choice and if the Iowa caucus and the Trump impeachment has impacted candidate support.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among New Hampshire voters likely to vote in the Democratic presidential primary in February 2020. This release includes candidate choice and if the Iowa caucus and the Trump impeachment has impacted candidate support.","Subject":"Other","Keywords":"New Hampshire primary; Donald Trump; impeachment; Iowa caucus; Bernie Sanders; Joe Biden; Pete Buttigieg; Elizabeth Warren; Amy Klobuchar"},{"pid":"doi:10.15139/S3/ARIHMI","Title":"Monmouth University National Poll, Number 199","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 199' Description:'This survey was conducted using a national sample and addresses job approval for Donald Trump, Mitch McConnell and Nancy Pelosi, impeachment of Trump, the 2020 Democratic nomination for president, and Ukraine,' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Mitch McConnell; Nancy Pelosi; impeachment; Democratic nomination for president; Rudy Giuliani; Ukraine;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 199' Description:'This survey was conducted using a national sample and addresses job approval for Donald Trump, Mitch McConnell and Nancy Pelosi, impeachment of Trump, the 2020 Democratic nomination for president, and Ukraine,' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses job approval for Donald Trump, Mitch McConnell and Nancy Pelosi, impeachment of Trump, the 2020 Democratic nomination for president, and Ukraine,","Subject":"Other","Keywords":"Donald Trump; Mitch McConnell; Nancy Pelosi; impeachment; Democratic nomination for president; Rudy Giuliani; Ukraine;"},{"pid":"doi:10.15139/S3/B1IBDN","Title":"Monmouth University Iowa Poll, Number 205","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Iowa Poll, Number 205' Description:'This survey was conducted among Iowa voters likely to attend the Democratic presidential caucuses in February 2020 and addresses the 2020 Democratic presidential caucus.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Democratic caucus; Iowa; 2020 election+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Iowa Poll, Number 205' Description:'This survey was conducted among Iowa voters likely to attend the Democratic presidential caucuses in February 2020 and addresses the 2020 Democratic presidential caucus.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Iowa voters likely to attend the Democratic presidential caucuses in February 2020 and addresses the 2020 Democratic presidential caucus.","Subject":"Other","Keywords":"Democratic caucus; Iowa; 2020 election"},{"pid":"doi:10.15139/S3/CGE4O1","Title":"Monmouth University New Hampshire Poll, Number 188","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 188' Description:'This survey was conducted among New Hampshire voters likely to vote in the Democratic and Republican 2020 presidential primaries.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2020 presidential primary; Democrat; Republican+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 188' Description:'This survey was conducted among New Hampshire voters likely to vote in the Democratic and Republican 2020 presidential primaries.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among New Hampshire voters likely to vote in the Democratic and Republican 2020 presidential primaries.","Subject":"Other","Keywords":"2020 presidential primary; Democrat; Republican"},{"pid":"doi:10.15139/S3/CJXTLK","Title":"Replication Data for: State Coalitions, Informational Signals, and Success as Amicus Curiae at the United States Supreme Court","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State Coalitions, Informational Signals, and Success as Amicus Curiae at the United States Supreme Court' Description:'States are uniquely situated as both individual governments in the federal system and entities that represent the interests of their citizens. So, what makes groups of states successful when they lobby the Supreme Court as amicus curiae filers? I argue that it is not just the number of states included in a coalition that matters, but rather which states are included. In this paper I offer a theory that implies certain types of coalitions will be more influential than others, as these coalitions can vary in how representative they are of public preferences. I use a dataset on state amicus curiae filings from 1960 to 2013 to test the implications of my theory. I find that the regional diversity of coalitions increases the odds of state amicus curiae filers obtaining their preferred outcome, but the ideological heterogeneity of the group of states does not. This latter result is interesting given that it is contrary to the theoretical expectations of the existing scholarship on state amicus filings.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Federalism; Judicial politics; Representation; State attorneys general+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State Coalitions, Informational Signals, and Success as Amicus Curiae at the United States Supreme Court' Description:'States are uniquely situated as both individual governments in the federal system and entities that represent the interests of their citizens. So, what makes groups of states successful when they lobby the Supreme Court as amicus curiae filers? I argue that it is not just the number of states included in a coalition that matters, but rather which states are included. In this paper I offer a theory that implies certain types of coalitions will be more influential than others, as these coalitions can vary in how representative they are of public preferences. I use a dataset on state amicus curiae filings from 1960 to 2013 to test the implications of my theory. I find that the regional diversity of coalitions increases the odds of state amicus curiae filers obtaining their preferred outcome, but the ideological heterogeneity of the group of states does not. This latter result is interesting given that it is contrary to the theoretical expectations of the existing scholarship on state amicus filings.' Subject:'Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"States are uniquely situated as both individual governments in the federal system and entities that represent the interests of their citizens. So, what makes groups of states successful when they lobby the Supreme Court as amicus curiae filers? I argue that it is not just the number of states included in a coalition that matters, but rather which states are included. In this paper I offer a theory that implies certain types of coalitions will be more influential than others, as these coalitions can vary in how representative they are of public preferences. I use a dataset on state amicus curiae filings from 1960 to 2013 to test the implications of my theory. I find that the regional diversity of coalitions increases the odds of state amicus curiae filers obtaining their preferred outcome, but the ideological heterogeneity of the group of states does not. This latter result is interesting given that it is contrary to the theoretical expectations of the existing scholarship on state amicus filings.","Subject":" Other","Keywords":"Federalism; Judicial politics; Representation; State attorneys general"},{"pid":"doi:10.15139/S3/DTK8SR","Title":"Safer Streets for Everyone: Vision Zero Anchorage (2018). Anchorage, Alaska.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Safer Streets for Everyone: Vision Zero Anchorage (2018). Anchorage, Alaska.' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master Plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Safer Streets for Everyone: Vision Zero Anchorage (2018). Anchorage, Alaska.' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master Plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/DV7XU1","Title":"Houston Vision Zero Action Plan (2020). Houston, Texas","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Houston Vision Zero Action Plan (2020). Houston, Texas' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Houston Vision Zero Action Plan (2020). Houston, Texas' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/EEERCS","Title":"Monmouth University Michigan Poll, Number 211","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Michigan Poll, Number 211' Description:'This survey was conducted among Michigan registered voters and includes possible candidate pairs for the 2020 general election. This poll also includes candidate support for the Democratic presidential primary among likely voters.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Michigan; Democratic presidential primary; Joe Biden; Bernie Sanders; Tulsi Gabbard+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Michigan Poll, Number 211' Description:'This survey was conducted among Michigan registered voters and includes possible candidate pairs for the 2020 general election. This poll also includes candidate support for the Democratic presidential primary among likely voters.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Michigan registered voters and includes possible candidate pairs for the 2020 general election. This poll also includes candidate support for the Democratic presidential primary among likely voters.","Subject":"Other","Keywords":"Donald Trump; Michigan; Democratic presidential primary; Joe Biden; Bernie Sanders; Tulsi Gabbard"},{"pid":"doi:10.15139/S3/EG5RVF","Title":"Monmouth University South Carolina Poll, Number 192","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University South Carolina Poll, Number 192' Description:'This survey was conducted among South Carolina voters likely to vote in the 2020 presidential primary for president.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2020 primary; Democratic nomination; president+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University South Carolina Poll, Number 192' Description:'This survey was conducted among South Carolina voters likely to vote in the 2020 presidential primary for president.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among South Carolina voters likely to vote in the 2020 presidential primary for president.","Subject":"Other","Keywords":"2020 primary; Democratic nomination; president"},{"pid":"doi:10.15139/S3/EHXR8C","Title":"Vision Zero Maui: Zero Traffic Fatalities and Serious Injuries by 2040 Action Plan (2021). Maui MPO, Hawaii","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Maui: Zero Traffic Fatalities and Serious Injuries by 2040 Action Plan (2021). Maui MPO, Hawaii' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Maui: Zero Traffic Fatalities and Serious Injuries by 2040 Action Plan (2021). Maui MPO, Hawaii' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/FH1REW","Title":"Daly City Vision Zero Action Plan (2020). Daly City, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Daly City Vision Zero Action Plan (2020). Daly City, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Daly City Vision Zero Action Plan (2020). Daly City, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/G3DPYI","Title":"Monmouth University South Carolina Poll, Number 210","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University South Carolina Poll, Number 210' Description:'This survey was conducted among South Carolina voters likely to vote in the Democratic presidential primary on February 29, 2020.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Presidential primary; South Carolina; Joe Biden; Bernie Sanders; Tom Steyer; Elizabeth Warren; Amy Klobuchar; Tulsi Gabbard+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University South Carolina Poll, Number 210' Description:'This survey was conducted among South Carolina voters likely to vote in the Democratic presidential primary on February 29, 2020.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among South Carolina voters likely to vote in the Democratic presidential primary on February 29, 2020.","Subject":"Other","Keywords":"Presidential primary; South Carolina; Joe Biden; Bernie Sanders; Tom Steyer; Elizabeth Warren; Amy Klobuchar; Tulsi Gabbard"},{"pid":"doi:10.15139/S3/GCQAAI","Title":"Monmouth University National Poll, Number 218","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 218' Description:'This survey was conducted using a national sample and addresses the coronavirus outbreak, 2020 general election, race relations, Black Lives Matters, and protests for incidents involving police and the deaths of Black civilians,' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {coronavirus; Covid; finances; 2020 election; Donald Trump; Joe Biden; U.S. House of Representatives;race relations;Black Lives Matters; protests; Defund the Police+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 218' Description:'This survey was conducted using a national sample and addresses the coronavirus outbreak, 2020 general election, race relations, Black Lives Matters, and protests for incidents involving police and the deaths of Black civilians,' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses the coronavirus outbreak, 2020 general election, race relations, Black Lives Matters, and protests for incidents involving police and the deaths of Black civilians,","Subject":"Other","Keywords":"coronavirus; Covid; finances; 2020 election; Donald Trump; Joe Biden; U.S. House of Representatives;race relations;Black Lives Matters; protests; Defund the Police"},{"pid":"doi:10.15139/S3/GIXLG3","Title":"Monmouth University New Jersey Poll, Number 215","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Jersey Poll, Number 215' Description:'This survey was conducted among residents of New Jersey and addresses the 2020 general election as well as job ratings for Governor Phil Murphy, President Donald Trump, Senator Bob Menendez, and Senator Cory Booker. This survey also addresses the coronavirus outbreak, state regulations to limit the outbreak, visiting the Jersey Shore, legalizing marijuana and the New Jersey Quality of Life Index.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Bob Menendez; Cory Booker; Phil Murphy; Covid; coronavirus; quality of life; marijuana; 2020 general election; Jersey Shore; school closures;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Jersey Poll, Number 215' Description:'This survey was conducted among residents of New Jersey and addresses the 2020 general election as well as job ratings for Governor Phil Murphy, President Donald Trump, Senator Bob Menendez, and Senator Cory Booker. This survey also addresses the coronavirus outbreak, state regulations to limit the outbreak, visiting the Jersey Shore, legalizing marijuana and the New Jersey Quality of Life Index.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among residents of New Jersey and addresses the 2020 general election as well as job ratings for Governor Phil Murphy, President Donald Trump, Senator Bob Menendez, and Senator Cory Booker. This survey also addresses the coronavirus outbreak, state regulations to limit the outbreak, visiting the Jersey Shore, legalizing marijuana and the New Jersey Quality of Life Index.","Subject":"Other","Keywords":"Donald Trump; Bob Menendez; Cory Booker; Phil Murphy; Covid; coronavirus; quality of life; marijuana; 2020 general election; Jersey Shore; school closures;"},{"pid":"doi:10.15139/S3/GKH2QD","Title":"CHAMPS De-identified Dataset, v4.2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CHAMPS De-identified Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, de-identified CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. One new column (site_iso_code) was added to this dataset to the file CHAMPS_deid_basic_demographics.csv. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Diseases; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CHAMPS De-identified Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, de-identified CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. One new column (site_iso_code) was added to this dataset to the file CHAMPS_deid_basic_demographics.csv. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, de-identified CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. One new column (site_iso_code) was added to this dataset to the file CHAMPS_deid_basic_demographics.csv. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.","Subject":" Other","Keywords":"Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Diseases; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries"},{"pid":"doi:10.15139/S3/GP6PTV","Title":"Monmouth University Pennsylvania Poll, Number 219","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Pennsylvania Poll, Number 219' Description:'This survey was conducted among Pennsylvania registered voters and addresses the 2020 general election including choice for president and US House of Representatives. This poll also includes questions on the coronavirus pandemic, so-called secret voters, voter engagement, and favorability ratings for Donald Trump and Joe Biden.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2020 general election; president; Donald Trump; Joe Biden; US House of Representatives; coronavirus; pandemic; secret voters;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Pennsylvania Poll, Number 219' Description:'This survey was conducted among Pennsylvania registered voters and addresses the 2020 general election including choice for president and US House of Representatives. This poll also includes questions on the coronavirus pandemic, so-called secret voters, voter engagement, and favorability ratings for Donald Trump and Joe Biden.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Pennsylvania registered voters and addresses the 2020 general election including choice for president and US House of Representatives. This poll also includes questions on the coronavirus pandemic, so-called secret voters, voter engagement, and favorability ratings for Donald Trump and Joe Biden.","Subject":"Other","Keywords":"2020 general election; president; Donald Trump; Joe Biden; US House of Representatives; coronavirus; pandemic; secret voters;"},{"pid":"doi:10.15139/S3/GPBKUG","Title":"Vision Zero Somerville: Taking Actions for Safer Streets Action Plan 2020 (2020). Somerville, Massachusetts","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Somerville: Taking Actions for Safer Streets Action Plan 2020 (2020). Somerville, Massachusetts' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Somerville: Taking Actions for Safer Streets Action Plan 2020 (2020). Somerville, Massachusetts' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/H74VUO","Title":"Monmouth University National Poll, Number 240","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 240' Description:'This survey was conducted using a national sample and includes questions on the middle class, Biden's ability to build cooperation in DC, the most important issues the federal government needs to address, the state of the country, if Americans are united or divided on most important values, the coronavirus pandemic and its impact on romantic relationships, and job ratings for President Joe Biden. This poll also includes confidence in the 2020 general election results, questions on the impeachment of former President Donald Trump and his final job rating.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Joe Biden; Washington DC; issues; US Congress; Donald Trump; middle class families; coronavirus; climate change; racial inequality; health care; law and order; taxes; jobs; unemployment; immigration; education; unity; patriotism; terrorism; radicals; elections laws; infrastructure; impeachment; Donald Trump; House of Representatives; US Senate; Covid; romantic relationships;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 240' Description:'This survey was conducted using a national sample and includes questions on the middle class, Biden's ability to build cooperation in DC, the most important issues the federal government needs to address, the state of the country, if Americans are united or divided on most important values, the coronavirus pandemic and its impact on romantic relationships, and job ratings for President Joe Biden. This poll also includes confidence in the 2020 general election results, questions on the impeachment of former President Donald Trump and his final job rating.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and includes questions on the middle class, Biden's ability to build cooperation in DC, the most important issues the federal government needs to address, the state of the country, if Americans are united or divided on most important values, the coronavirus pandemic and its impact on romantic relationships, and job ratings for President Joe Biden. This poll also includes confidence in the 2020 general election results, questions on the impeachment of former President Donald Trump and his final job rating.","Subject":"Other","Keywords":"Joe Biden; Washington DC; issues; US Congress; Donald Trump; middle class families; coronavirus; climate change; racial inequality; health care; law and order; taxes; jobs; unemployment; immigration; education; unity; patriotism; terrorism; radicals; elections laws; infrastructure; impeachment; Donald Trump; House of Representatives; US Senate; Covid; romantic relationships;"},{"pid":"doi:10.15139/S3/HZYGCM","Title":"Monmouth University Nevada Poll, Number 190","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Nevada Poll, Number 190' Description:'This survey was conducted among Nevada voters likely attend the 2020 presidential Democratic caucus.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Caucus; 2020; President; Democrat+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Nevada Poll, Number 190' Description:'This survey was conducted among Nevada voters likely attend the 2020 presidential Democratic caucus.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Nevada voters likely attend the 2020 presidential Democratic caucus.","Subject":"Other","Keywords":"Caucus; 2020; President; Democrat"},{"pid":"doi:10.15139/S3/IQQ8YF","Title":"Monmouth University New Hampshire Poll, Number 196","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 196' Description:'This survey was conducted among New Hampshire voters likely to vote in the 2020 Democratic presidential primary.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2020 primary; president; healthcare; Democratic primary+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 196' Description:'This survey was conducted among New Hampshire voters likely to vote in the 2020 Democratic presidential primary.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among New Hampshire voters likely to vote in the 2020 Democratic presidential primary.","Subject":"Other","Keywords":"2020 primary; president; healthcare; Democratic primary"},{"pid":"doi:10.15139/S3/IVDJPS","Title":"Monmouth University National Poll, Number 222","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 222' Description:'This survey was conducted using a national sample and addresses the coronavirus outbreak and the 2020 general election for president.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Coronavirus; Covid; 2020 election; Joe Biden; Donald Trump; road to recovery; pandemic; stress level; governor; federal government; state government; health agencies+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 222' Description:'This survey was conducted using a national sample and addresses the coronavirus outbreak and the 2020 general election for president.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses the coronavirus outbreak and the 2020 general election for president.","Subject":"Other","Keywords":"Coronavirus; Covid; 2020 election; Joe Biden; Donald Trump; road to recovery; pandemic; stress level; governor; federal government; state government; health agencies"},{"pid":"doi:10.15139/S3/K4ELDN","Title":"Monmouth University South Carolina Poll, Number 198","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University South Carolina Poll, Number 198' Description:'This survey was conducted among South Carolina voters likely to vote in the Democratic presidential primary in February 2020.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Democratic primary; president; impeachment; Donald Trump; Barack Obama; Joe Biden; Ukraine;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University South Carolina Poll, Number 198' Description:'This survey was conducted among South Carolina voters likely to vote in the Democratic presidential primary in February 2020.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among South Carolina voters likely to vote in the Democratic presidential primary in February 2020.","Subject":"Other","Keywords":"Democratic primary; president; impeachment; Donald Trump; Barack Obama; Joe Biden; Ukraine;"},{"pid":"doi:10.15139/S3/KNHBEE","Title":"Vision Zero Prince George's: 2020-2022 Action Plan (2020). Prince George's County, Maryland","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Prince George's: 2020-2022 Action Plan (2020). Prince George's County, Maryland' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Prince George's: 2020-2022 Action Plan (2020). Prince George's County, Maryland' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/LR7GI9","Title":"Monmouth University National Poll, Number 194","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 194' Description:'This survey was conducted using a national sample and addresses President Trump, impeachment, the 2020 Democratic nomination for president, healthcare, and gun ownership and policies.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Trump, election, Democratic nomination, impeachment, reelection, healthcare, gun policies, gun ownership, assault weapons+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 194' Description:'This survey was conducted using a national sample and addresses President Trump, impeachment, the 2020 Democratic nomination for president, healthcare, and gun ownership and policies.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses President Trump, impeachment, the 2020 Democratic nomination for president, healthcare, and gun ownership and policies.","Subject":"Other","Keywords":"Trump, election, Democratic nomination, impeachment, reelection, healthcare, gun policies, gun ownership, assault weapons"},{"pid":"doi:10.15139/S3/LSPT1G","Title":"Monmouth University National Poll, Number 201","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 201' Description:'This survey was conducted using a national sample and addresses Trump job rating and impeachment, the 2020 election including the generic House vote and the Democratic nomination for president, and issues and candidate qualities important to voters.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; George Washington; Barack Obama; 2020 election; impeachment; Democratic nomination;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 201' Description:'This survey was conducted using a national sample and addresses Trump job rating and impeachment, the 2020 election including the generic House vote and the Democratic nomination for president, and issues and candidate qualities important to voters.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses Trump job rating and impeachment, the 2020 election including the generic House vote and the Democratic nomination for president, and issues and candidate qualities important to voters.","Subject":"Other","Keywords":"Donald Trump; George Washington; Barack Obama; 2020 election; impeachment; Democratic nomination;"},{"pid":"doi:10.15139/S3/LVUUSV","Title":"City of Hoboken: Vision Zero Action Plan (2021). Hoboken, New Jersey","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'City of Hoboken: Vision Zero Action Plan (2021). Hoboken, New Jersey' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'City of Hoboken: Vision Zero Action Plan (2021). Hoboken, New Jersey' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/MJYHWX","Title":"Monmouth University National Poll, Number 189","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 189' Description:'This survey was conducted using a national sample and addresses impeachment, the Mueller report, Russian election interference, President Trump's job approval, trade agreements and tariffs. Also included in this poll are questions on the 2020 Democratic nomination for president, favorability ratings for Democratic candidates, and questions on healthcare.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Robert Mueller; Congress; impeachment; Don McGahn; election; Russia; Democratic nomination; President; Joe Biden; Bernie Sanders; Elizabeth Warren; Beto O'Rourke; Kamala Harris; Amy Klobuchar; Pete Buttigieg; Cory Booker; Kirsten Gillabrand; Julian Castro; John Delaney; John Hickenlooper; Tulsi Gabbard; Jay Inslee; Andrew Yang; Marianne Williamson; Wayne Messam; Mike Gravel; Tim Ryan; Seth Moulton; Eric Swalwell; Steve Bullock; Michael Bennet; Bill de Blasio; trade agreements; tariffs; China; health care;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 189' Description:'This survey was conducted using a national sample and addresses impeachment, the Mueller report, Russian election interference, President Trump's job approval, trade agreements and tariffs. Also included in this poll are questions on the 2020 Democratic nomination for president, favorability ratings for Democratic candidates, and questions on healthcare.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses impeachment, the Mueller report, Russian election interference, President Trump's job approval, trade agreements and tariffs. Also included in this poll are questions on the 2020 Democratic nomination for president, favorability ratings for Democratic candidates, and questions on healthcare.","Subject":"Other","Keywords":"Donald Trump; Robert Mueller; Congress; impeachment; Don McGahn; election; Russia; Democratic nomination; President; Joe Biden; Bernie Sanders; Elizabeth Warren; Beto O'Rourke; Kamala Harris; Amy Klobuchar; Pete Buttigieg; Cory Booker; Kirsten Gillabrand; Julian Castro; John Delaney; John Hickenlooper; Tulsi Gabbard; Jay Inslee; Andrew Yang; Marianne Williamson; Wayne Messam; Mike Gravel; Tim Ryan; Seth Moulton; Eric Swalwell; Steve Bullock; Michael Bennet; Bill de Blasio; trade agreements; tariffs; China; health care;"},{"pid":"doi:10.15139/S3/MLDBSY","Title":"Monmouth University National Poll, Number 207","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 207' Description:'This survey was conducted using a national sample and addresses job ratings for Donald Trump and Congress, the 2020 general election, the Democratic nomination for president, and presidential nominating process. Also included are question on the impeachment of Donald Trump, the Ukraine investigation and the state of the country.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; impeachment; U.S. Congress; 2020 election; Democratic nomination; president; Washington DC; government; drain the swamp; presidential nomination process; Ukraine;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 207' Description:'This survey was conducted using a national sample and addresses job ratings for Donald Trump and Congress, the 2020 general election, the Democratic nomination for president, and presidential nominating process. Also included are question on the impeachment of Donald Trump, the Ukraine investigation and the state of the country.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses job ratings for Donald Trump and Congress, the 2020 general election, the Democratic nomination for president, and presidential nominating process. Also included are question on the impeachment of Donald Trump, the Ukraine investigation and the state of the country.","Subject":"Other","Keywords":"Donald Trump; impeachment; U.S. Congress; 2020 election; Democratic nomination; president; Washington DC; government; drain the swamp; presidential nomination process; Ukraine;"},{"pid":"doi:10.15139/S3/MQFNJO","Title":"Santa Barbara Vision Zero Strategy 2030 (2018). Santa Barbara, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Santa Barbara Vision Zero Strategy 2030 (2018). Santa Barbara, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Santa Barbara Vision Zero Strategy 2030 (2018). Santa Barbara, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/N4B6S0","Title":"Monmouth University National Poll, Number 191","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 191' Description:'This survey was conducted using a national sample and addresses President Trump's presidency, the state of the nation, the 2020 Presidential election, abortion and the Revolutionary War.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {President Trump; U.S. Congress; abortion; Revolutionary War; 2020 Election;democratic nomination; presidential debate+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 191' Description:'This survey was conducted using a national sample and addresses President Trump's presidency, the state of the nation, the 2020 Presidential election, abortion and the Revolutionary War.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses President Trump's presidency, the state of the nation, the 2020 Presidential election, abortion and the Revolutionary War.","Subject":"Other","Keywords":"President Trump; U.S. Congress; abortion; Revolutionary War; 2020 Election;democratic nomination; presidential debate"},{"pid":"doi:10.15139/S3/NFOB7N","Title":"Monmouth University New Jersey Poll, Number 195","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Jersey Poll, Number 195' Description:'This survey was conducted among residents of New Jersey and addresses job ratings fo Governor Phil Murphy, President Trump, Senator Bob Menendez, and Senator Cory Booker. Also included are questions on Gov. Murphy's policies, the drinking water in Newark, impeachment of the president, the 2020 Democratic nomination for president, and the Quality of Life Index.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Gov. Murphy, Sen. Menendez, Sen. Booker, President Trump, Quality of Life Index, 2020 Democratic nomination for president, impeachment+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Jersey Poll, Number 195' Description:'This survey was conducted among residents of New Jersey and addresses job ratings fo Governor Phil Murphy, President Trump, Senator Bob Menendez, and Senator Cory Booker. Also included are questions on Gov. Murphy's policies, the drinking water in Newark, impeachment of the president, the 2020 Democratic nomination for president, and the Quality of Life Index.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among residents of New Jersey and addresses job ratings fo Governor Phil Murphy, President Trump, Senator Bob Menendez, and Senator Cory Booker. Also included are questions on Gov. Murphy's policies, the drinking water in Newark, impeachment of the president, the 2020 Democratic nomination for president, and the Quality of Life Index.","Subject":"Other","Keywords":"Gov. Murphy, Sen. Menendez, Sen. Booker, President Trump, Quality of Life Index, 2020 Democratic nomination for president, impeachment"},{"pid":"doi:10.15139/S3/NGBRWL","Title":"Monmouth University Iowa Poll, Number 200","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Iowa Poll, Number 200' Description:'This survey was conducted among Iowa voters likely to attend the Democratic presidential caucuses in February 2020.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {2020 Democratic caucus; president+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Iowa Poll, Number 200' Description:'This survey was conducted among Iowa voters likely to attend the Democratic presidential caucuses in February 2020.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Iowa voters likely to attend the Democratic presidential caucuses in February 2020.","Subject":"Other","Keywords":"2020 Democratic caucus; president"},{"pid":"doi:10.15139/S3/O5WV6N","Title":"Vision Zero Los Angeles County: A plan for safer roadways 2020-2025 (2019). Los Angeles County, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Los Angeles County: A plan for safer roadways 2020-2025 (2019). Los Angeles County, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Los Angeles County: A plan for safer roadways 2020-2025 (2019). Los Angeles County, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/OMKM8K","Title":"Sunnyvale Vision Zero Plan (2019). Sunnyvale, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Sunnyvale Vision Zero Plan (2019). Sunnyvale, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Sunnyvale Vision Zero Plan (2019). Sunnyvale, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/PMAAWG","Title":"CHAMPS Limited Dataset, v4.2","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'CHAMPS Limited Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, limited CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. Sixteen new columns were added to this dataset; one column was renamed. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Disease; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'CHAMPS Limited Dataset, v4.2' Description:'(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, limited CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. Sixteen new columns were added to this dataset; one column was renamed. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.' Subject:'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"(rev. 2021-04-01) Request dataset here: https://champshealth.org/data-access/ Version 4.2 of the standard, limited CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. Sixteen new columns were added to this dataset; one column was renamed. This dataset is updated monthly. The version of this dataset changes quarterly when a revised ICD-10 mapping document is uploaded.","Subject":" Other","Keywords":"Anemias; Assays: Bordatella spp., C. difficile, C. diphtheria, H. influenzae, Arenavirus/Lassa Fever, MERS coronavirus, Salmonella spp., V. cholerae, Acinetobacter baumannii, Adenovirus, Adenovirus 40/41, Aeromonas spp., Ascaris lumbricoides, Astrovirus, Bartonella spp.; Bordetella parapertussi, Bordetella bronchiseptica; Bordetella pertussis, Bordetella holmseii; Bordetella pertussis (pertussis toxin), Brucellaspp., Burkholderia pseudomallei, C. difficile paLOC, C. difficile tcdA, C. difficile tcdB, Campylobacter coli, Campylobacter jejuni, Candida albicans, Crimean-Congo Hemorrhagic Fever virus (CCHF), Chikungunya virus, Chlamydia pneumoniae, Chlamydia trachomatis, Corynebacterium diptheriae; Corynebacterium ulcerans, Corynebacterium pseudotuberculosis; Corynebactrium spp. (tox gene), Coxiella burnettii; Cryptococcus neoformans, Cryptococcus gattii; Cryptosporidium parvum, Cytomegalovirus (CMV), Dengue (pan), Entamoeba histolytica, Escherichia coli (aaiC gene), Escherichia coli (aatA gene), Enterococcus facium, Enterococcus faecalis, Enterovirus, Escherichia coli (bfpA gene), Escherichia coli (eae gene), Escherichia coli/Shigella, Escherichia coli (heat-labile enterotoxin), Escherichia coli (heat-stable enterotoxin); Bacterial Infections and Mycoses; Birth Trauma; Cancer; Cardiovascular Diseases; Cervical Insufficiency and Pelvic Anomalies; Cesarean Delivery; Chemically-Induced Disorders; Chorioamnionitis and Membrane Complications; Congenital Birth Defects; Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Congenital Infection; Diarrheal Diseases; Digestive System Diseases; Disorders of Environmental Origin; Endocrine System Diseases; Epilepsy; Eye Diseases; Female Urogenital Diseases and Pregnancy Complications; Giardia spp, Group A Streptococcus, Group B Streptococcus, Haemophilus influenzae, Haemophilus influenzae type B, Human coronavirus 1 (229E), Human coronavirus 2 (NL63), Human coronavirus 3 (OC43), Human coronavirus 4 (HKU1), Hepatitis E virus, Human metapneumovirus (HMPV), Herpes simplex virus 1 (HSV1), Herpes simplex virus 2 (HSV2), Human nucleic acid control (Rnase P), Influenza A, Influenza B, Internal Positive Control (IPC), Japanese encephalitis virus, Klebsiella pneumoniae; PAN Lassa Fever Virus, can cross react with other arenavirus; Lassa Fever Virus target 1 and target 2, Leptospira (pan-serovar), Listeria monocytogenes, Measles, MERS coronavirus (N gene), MERS coronavirus (upE gene), Moraxella catarrhalis, Mumps, MS2 phage for extraction control, Mycobacterium tuberculosis, Mycoplasma pneumoniae, Neisseria gonorrhoeae, Neisseria meningitidis, Nipah virus, Norovirus GI, Norovirus GII, Orientia tsutsugamushi, Parechovirus, Parvovirus B19 VP2; Parainfluenza virus type 1, type 2, type 3 and type 4; Plasmodium falciparum, Plasmodium vivax, Pneumocystis jirovecii, Pseudomonas aeruginosa, Respiratory syncytical virus (RSV), Rhinovirus, Rickettsia spp., Rift Valley Fever, Rotavirus A, Rotavirus B, Rotavirus C; Global Health; Heart Diseases; Hemic and Lymphatic Diseases; HIV; Immune System Disease; Injury; Kidney Disease; Liver Disease; Lower Respiratory Infections; Malaria; Malnutrition; Malpresentation Before Labor; Maternal Circulatory and Respiratory Diseases; Maternal Diabetes; Maternal HIV; Maternal Hypertension; Maternal Infection; Maternal Injury and Accident; Maternal Medication or Toxic Exposure; Maternal Nutritional Disorder; Maternal Surgical and Medical Procedures; Measles; Meningitis/Encephalitis; Motor Neuron Disease; Multiple Gestation; Musculoskeletal Diseases; Neonatal Aspiration Syndromes; Neonatal Encephalopathy; Neonatal Preterm Birth Complications; Neonatal Sepsis; Neoplasms; Nervous System Diseases; Nutritional and Metabolic Diseases; Obstructed Labor and Fetal Malpresentation; Other Disorders of Fluid, Electrolyte and Acid-Base Balance; Other Endocrine, Metabolic, Blood and Immune Disorders; Other Gastrointestinal Disease; Other Immunodeficiencies; Other Infections; Other Injury; Other Labor and Delivery Complications; Other Maternal Factor; Other Neonatal Disorders; Other Neurological Disorders; Other Nutritional Deficiencies; Other Respiratory Diseases; Other Skin and Subcutaneous Diseases; Paralytic Ileus and Intestinal Obstruction; Parasitic Diseases; Pathological Conditions, Signs and Symptoms; Perinatal Asphyxia/Hypoxia; Placental Complications; Poisoning; Premature Rupture of Membranes; Preterm Labor or Delivery; Prolapsed Cord; Public Health; Respiratory Tract Diseases; Road Injuries; Sepsis; Sickle Cell Disorders; Skin and Connective Tissue Diseases; Spontaneous Abortion; Stomatognathic Diseases; Sudden Infant Death Syndrome (SIDS); Syphilis; Tuberculosis (TB); Umbilical Cord Complications; Upper Respiratory Infections; Uterine Fluid Disorders; Uterine Rupture; Virus Diseases; Wounds and Injuries"},{"pid":"doi:10.15139/S3/PNR8PY","Title":"Monmouth University National Poll, Number 197","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 197' Description:'This survey was conducted using a national sample and addresses President Trump, impeachment, 2020 Democratic nomination for president, and the Democratic presidential debate. There are also questions on Trump and the Ukrainian president, polarization of the country, and Halloween.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Trump; Ukrain; whistleblower; Biden; debate; Democratic nomination for president; Halloween; polarization;state of the nation+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 197' Description:'This survey was conducted using a national sample and addresses President Trump, impeachment, 2020 Democratic nomination for president, and the Democratic presidential debate. There are also questions on Trump and the Ukrainian president, polarization of the country, and Halloween.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and addresses President Trump, impeachment, 2020 Democratic nomination for president, and the Democratic presidential debate. There are also questions on Trump and the Ukrainian president, polarization of the country, and Halloween.","Subject":"Other","Keywords":"Trump; Ukrain; whistleblower; Biden; debate; Democratic nomination for president; Halloween; polarization;state of the nation"},{"pid":"doi:10.15139/S3/POXAUZ","Title":"Space Coast TPO Vision Zero: Action Plan (2020). Space Coast, Florida","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Space Coast TPO Vision Zero: Action Plan (2020). Space Coast, Florida' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Space Coast TPO Vision Zero: Action Plan (2020). Space Coast, Florida' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/PSBGTM","Title":"Monmouth University National Poll, Number 204","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 204' Description:'This survey was conducted using a national sample and includes job rating for Donald Trump, Congress, Mitch McConnell, and Nancy Pelosi. This poll addresses the impeachment of Donald Trump, questions on NAFTA and the new trade agreement called USMCA, the 2020 Democratic nomination for president, and questions on the primary process.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Donald Trump; Congress; Nancy Pelosi; Mitch McConnell; impeachment; NAFTA; Canada; Mexico; trade; USMCA; Democratic nomination; president; primary process; election; Iowa; New Hampshire; Ukrain; Rudy Giuliani;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University National Poll, Number 204' Description:'This survey was conducted using a national sample and includes job rating for Donald Trump, Congress, Mitch McConnell, and Nancy Pelosi. This poll addresses the impeachment of Donald Trump, questions on NAFTA and the new trade agreement called USMCA, the 2020 Democratic nomination for president, and questions on the primary process.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted using a national sample and includes job rating for Donald Trump, Congress, Mitch McConnell, and Nancy Pelosi. This poll addresses the impeachment of Donald Trump, questions on NAFTA and the new trade agreement called USMCA, the 2020 Democratic nomination for president, and questions on the primary process.","Subject":"Other","Keywords":"Donald Trump; Congress; Nancy Pelosi; Mitch McConnell; impeachment; NAFTA; Canada; Mexico; trade; USMCA; Democratic nomination; president; primary process; election; Iowa; New Hampshire; Ukrain; Rudy Giuliani;"},{"pid":"doi:10.15139/S3/RCYIJU","Title":"Systemic Safety: The Data-driven Path to Vision Zero (2019). San Diego, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Systemic Safety: The Data-driven Path to Vision Zero (2019). San Diego, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Systemic Safety: The Data-driven Path to Vision Zero (2019). San Diego, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/SO9OQA","Title":"Alameda Vision Zero Action Plan (2021). Alameda, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Alameda Vision Zero Action Plan (2021). Alameda, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Alameda Vision Zero Action Plan (2021). Alameda, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/SRHKPQ","Title":"Monmouth University New Hampshire Poll, Number 202","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 202' Description:'This survey was conducted among New Hampshire voters likely to vote in the Democratic presidential primary.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Democratic primary; president; Democratic Party; Joe Biden; Bernie Sanders; Elizabeth Warren; Pete Buttigieg; Cory Booker; Andrew Yank; Tom Steyer; Deval Patick;+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University New Hampshire Poll, Number 202' Description:'This survey was conducted among New Hampshire voters likely to vote in the Democratic presidential primary.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among New Hampshire voters likely to vote in the Democratic presidential primary.","Subject":"Other","Keywords":"Democratic primary; president; Democratic Party; Joe Biden; Bernie Sanders; Elizabeth Warren; Pete Buttigieg; Cory Booker; Andrew Yank; Tom Steyer; Deval Patick;"},{"pid":"doi:10.15139/S3/TEOGZ2","Title":"Truckee Meadows Vision Zero Action Plan (2019). Truckee Meadows, Nevada","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Truckee Meadows Vision Zero Action Plan (2019). Truckee Meadows, Nevada' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and biyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Truckee Meadows Vision Zero Action Plan (2019). Truckee Meadows, Nevada' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and biyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/TF4JKW","Title":"Ann Arbor Moving Together Towards Vision Zero: City of Ann Arbor Comprehensive Transportation Plan (2021). Ann Arbor, Michigan","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Ann Arbor Moving Together Towards Vision Zero: City of Ann Arbor Comprehensive Transportation Plan (2021). Ann Arbor, Michigan' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Ann Arbor Moving Together Towards Vision Zero: City of Ann Arbor Comprehensive Transportation Plan (2021). Ann Arbor, Michigan' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/TW8TJZ","Title":"Monmouth University Virginia Poll, Number 208","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Virginia Poll, Number 208' Description:'This survey was conducted among Virginia voters likely to vote in the Democratic presidential primary on March 3, 2020 and includes candidate support.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Virginia democratic primary; president; Joe Biden; Pete Buttigieg; Mike Bloomberg; Amy Klobuchar; Bernie Sanders; Elizabeth Warren; 2020 presidential election; Donald Trump+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Virginia Poll, Number 208' Description:'This survey was conducted among Virginia voters likely to vote in the Democratic presidential primary on March 3, 2020 and includes candidate support.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Virginia voters likely to vote in the Democratic presidential primary on March 3, 2020 and includes candidate support.","Subject":"Other","Keywords":"Virginia democratic primary; president; Joe Biden; Pete Buttigieg; Mike Bloomberg; Amy Klobuchar; Bernie Sanders; Elizabeth Warren; 2020 presidential election; Donald Trump"},{"pid":"doi:10.15139/S3/U12WLY","Title":"Vision Zero Strategic Plan: One City Towards Safe Streets. Bellevue, Washington (2020)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Strategic Plan: One City Towards Safe Streets. Bellevue, Washington (2020)' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Strategic Plan: One City Towards Safe Streets. Bellevue, Washington (2020)' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/UFBHLD","Title":"Monmouth University Arizona Poll, Number 212","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Monmouth University Arizona Poll, Number 212' Description:'This survey was conducted among Arizona registered voters and addresses the 2020 Democratic presidential primary the 2020 general election and includes favorability ratings for potential candidates for president and U.S. Senate, job rating for Senator Martha McSally. This poll also includes questions on finances, the US border with Mexico, health care, and the coronovirus pandemic.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Democratic primary; general election; 2020; Martha McSally; Bernie Sanders; Joe Biden; Donald Trump; US border; Mexico; health care; coronavirus; pandemic; finances; health insurance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Monmouth University Arizona Poll, Number 212' Description:'This survey was conducted among Arizona registered voters and addresses the 2020 Democratic presidential primary the 2020 general election and includes favorability ratings for potential candidates for president and U.S. Senate, job rating for Senator Martha McSally. This poll also includes questions on finances, the US border with Mexico, health care, and the coronovirus pandemic.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This survey was conducted among Arizona registered voters and addresses the 2020 Democratic presidential primary the 2020 general election and includes favorability ratings for potential candidates for president and U.S. Senate, job rating for Senator Martha McSally. This poll also includes questions on finances, the US border with Mexico, health care, and the coronovirus pandemic.","Subject":"Other","Keywords":"Democratic primary; general election; 2020; Martha McSally; Bernie Sanders; Joe Biden; Donald Trump; US border; Mexico; health care; coronavirus; pandemic; finances; health insurance"},{"pid":"doi:10.15139/S3/VE4SAB","Title":"Cincy Vision Zero 2020/2021 (2020). Cincinnati, Ohio","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Cincy Vision Zero 2020/2021 (2020). Cincinnati, Ohio' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Cincy Vision Zero 2020/2021 (2020). Cincinnati, Ohio' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/VSZZ6M","Title":"Vision Zero Boulder: Safe Streets Report (2019). Boulder, Colorado","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero Boulder: Safe Streets Report (2019). Boulder, Colorado' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero Boulder: Safe Streets Report (2019). Boulder, Colorado' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/WP0CRN","Title":"City of Berkeley: Vision Zero Action Plan (2019). Berkeley, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'City of Berkeley: Vision Zero Action Plan (2019). Berkeley, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'City of Berkeley: Vision Zero Action Plan (2019). Berkeley, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/WPGJ4W","Title":"Vision Zero: City of Philadelphia Vision Zero Action Plan 2025 (2020). Philadelphia, Pennsylvania","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Vision Zero: City of Philadelphia Vision Zero Action Plan 2025 (2020). Philadelphia, Pennsylvania' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Vision Zero: City of Philadelphia Vision Zero Action Plan 2025 (2020). Philadelphia, Pennsylvania' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/XZGEKY","Title":"Safe Streets Long Beach: A Vision Zero Action Plan (2020). Long Beach, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Safe Streets Long Beach: A Vision Zero Action Plan (2020). Long Beach, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Safe Streets Long Beach: A Vision Zero Action Plan (2020). Long Beach, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/YS3PVX","Title":"Fremont Vision Zero: 5-Year Status Report + 2025 Action Plan (2021). Fremont, California","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Fremont Vision Zero: 5-Year Status Report + 2025 Action Plan (2021). Fremont, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Fremont Vision Zero: 5-Year Status Report + 2025 Action Plan (2021). Fremont, California' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/Z4EDJ6","Title":"Minneapolis Vision Zero: Action Plan 2020-2022 (2019). Minneapolis, Minnesota","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Minneapolis Vision Zero: Action Plan 2020-2022 (2019). Minneapolis, Minnesota' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Minneapolis Vision Zero: Action Plan 2020-2022 (2019). Minneapolis, Minnesota' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.15139/S3/ZYTAVQ","Title":"Macon-Bibb County Vision Zero Action Plan (2020). Macon-Bibb County, Georgia","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Macon-Bibb County Vision Zero Action Plan (2020). Macon-Bibb County, Georgia' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Macon-Bibb County Vision Zero Action Plan (2020). Macon-Bibb County, Georgia' Description:'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.","Subject":"Other","Keywords":"Design; Environment; Highways; Master plans; Pedestrians and bicyclists; Planning and forecasting; Policy; Public transportation; Safety and human factors; Transportation (general)"},{"pid":"doi:10.18710/06HSDA","Title":"Replication Data for: Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system' Description:'This dataset contains complete Balmorel energy system model framework, input datasets, and the modelling results for 'Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system.' The objective of the study was to analyze the impact of full heating decarbonization in the northern Europe by 2050.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Balmorel; Decarbonization; Decentralized heat; Energy system+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system' Description:'This dataset contains complete Balmorel energy system model framework, input datasets, and the modelling results for 'Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system.' The objective of the study was to analyze the impact of full heating decarbonization in the northern Europe by 2050.' Subject:'Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains complete Balmorel energy system model framework, input datasets, and the modelling results for 'Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system.' The objective of the study was to analyze the impact of full heating decarbonization in the northern Europe by 2050.","Subject":" Other","Keywords":"Balmorel; Decarbonization; Decentralized heat; Energy system"},{"pid":"doi:10.18710/7TUIJL","Title":"Replication data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 2)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 2)' Description:'Some research has indicated that the relationship between students' study behavior and their academic performance is as strong as the relationship to more common predictors such as past performance and test scores. However, knowledge about students' study behavior, how behavior develops and is influenced by program and course design, and consequently, the effect various design parameters have on learning is limited. This data is part of a PhD project and relates to Study 2.This mixed-method study followed a population of computing students through their first year. Results from in-depth interviews with students throughout their first year found that the educational structure and organization of a study program conditions the students' study behavior. In order to further investigate these tendencies, two surveys (N=215) were conducted within the whole first-year student population at the beginning and end of the year. The dataset for this analysis is included in this repository. A significant difference found was in the use of surface and deep strategies at the beginning and end for the first year, indicating that students shift from deep to surface learning during the year. Even if students initially seek a deep content-driven approach to learning, the structure of the education and other organizational factors may be the cause of a more surface and task-focused approach towards the end of the first year. Students' study behavior is constrained by the educational design, which furthermore may lead to different learning outcomes than desired. Researching and developing learning goals, course content, lectures and assignments is one way to improve computing education; however, this research suggests that taking a comprehensive and integrated approach to educational design might also lead to improvements.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; mixed method research; questionnaires+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 2)' Description:'Some research has indicated that the relationship between students' study behavior and their academic performance is as strong as the relationship to more common predictors such as past performance and test scores. However, knowledge about students' study behavior, how behavior develops and is influenced by program and course design, and consequently, the effect various design parameters have on learning is limited. This data is part of a PhD project and relates to Study 2.This mixed-method study followed a population of computing students through their first year. Results from in-depth interviews with students throughout their first year found that the educational structure and organization of a study program conditions the students' study behavior. In order to further investigate these tendencies, two surveys (N=215) were conducted within the whole first-year student population at the beginning and end of the year. The dataset for this analysis is included in this repository. A significant difference found was in the use of surface and deep strategies at the beginning and end for the first year, indicating that students shift from deep to surface learning during the year. Even if students initially seek a deep content-driven approach to learning, the structure of the education and other organizational factors may be the cause of a more surface and task-focused approach towards the end of the first year. Students' study behavior is constrained by the educational design, which furthermore may lead to different learning outcomes than desired. Researching and developing learning goals, course content, lectures and assignments is one way to improve computing education; however, this research suggests that taking a comprehensive and integrated approach to educational design might also lead to improvements.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Some research has indicated that the relationship between students' study behavior and their academic performance is as strong as the relationship to more common predictors such as past performance and test scores. However, knowledge about students' study behavior, how behavior develops and is influenced by program and course design, and consequently, the effect various design parameters have on learning is limited. This data is part of a PhD project and relates to Study 2.This mixed-method study followed a population of computing students through their first year. Results from in-depth interviews with students throughout their first year found that the educational structure and organization of a study program conditions the students' study behavior. In order to further investigate these tendencies, two surveys (N=215) were conducted within the whole first-year student population at the beginning and end of the year. The dataset for this analysis is included in this repository. A significant difference found was in the use of surface and deep strategies at the beginning and end for the first year, indicating that students shift from deep to surface learning during the year. Even if students initially seek a deep content-driven approach to learning, the structure of the education and other organizational factors may be the cause of a more surface and task-focused approach towards the end of the first year. Students' study behavior is constrained by the educational design, which furthermore may lead to different learning outcomes than desired. Researching and developing learning goals, course content, lectures and assignments is one way to improve computing education; however, this research suggests that taking a comprehensive and integrated approach to educational design might also lead to improvements.","Subject":" Other","Keywords":"computer science education; computing education; mixed method research; questionnaires"},{"pid":"doi:10.18710/8EE2JS","Title":"Replication Data for: The potential for cleaner fish driven evolution in the salmon louse Lepeophtheirus salmonis: genetic or environmental control of pigmentation?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The potential for cleaner fish driven evolution in the salmon louse Lepeophtheirus salmonis: genetic or environmental control of pigmentation?' Description:'Abstract:The parasitic salmon louse represents one of the biggest challenges to environmentally sustainable salmonid aquaculture across the globe. This species also displays a high evolutionary potential, as demonstrated by its rapid development of resistance to delousing chemicals. In response, farms now use a range of non-chemical delousing methods, including cleaner fish that eat lice from salmon. Anecdotal reports suggest that in regions where cleaner fish are extensively used on farms, lice have begun to appear less pigmented and therefore putatively less visible to cleaner fish. However, it remains an open question whether these observations reflect a plastic (environmental) or adaptive (genetic) response. To investigate this, we developed a pigment scoring system and conducted complimentary experiments which collectively demonstrate that, a) louse pigmentation is strongly influenced by environmental conditions, most likely light, and b) the presence of modest but significant differences in pigmentation between two strains of lice reared under identical conditions. Based on these data, we conclude that pigmentation in the salmon louse is strongly influenced by environmental conditions, yet there are also indications of underlying genetic control. Therefore, lice could display both plastic and adaptive responses to extensive cleaner fish usage where visual appearance is likely to influence survival of lice.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Adaptation, Physiological; Biological Coevolution; Fish parasites; Lepeophtheirus; Lepeophtheirus salmonis; Pest Control, Biological; Phenotypic Plasticity; Pigmentation; Salmon louse+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The potential for cleaner fish driven evolution in the salmon louse Lepeophtheirus salmonis: genetic or environmental control of pigmentation?' Description:'Abstract:The parasitic salmon louse represents one of the biggest challenges to environmentally sustainable salmonid aquaculture across the globe. This species also displays a high evolutionary potential, as demonstrated by its rapid development of resistance to delousing chemicals. In response, farms now use a range of non-chemical delousing methods, including cleaner fish that eat lice from salmon. Anecdotal reports suggest that in regions where cleaner fish are extensively used on farms, lice have begun to appear less pigmented and therefore putatively less visible to cleaner fish. However, it remains an open question whether these observations reflect a plastic (environmental) or adaptive (genetic) response. To investigate this, we developed a pigment scoring system and conducted complimentary experiments which collectively demonstrate that, a) louse pigmentation is strongly influenced by environmental conditions, most likely light, and b) the presence of modest but significant differences in pigmentation between two strains of lice reared under identical conditions. Based on these data, we conclude that pigmentation in the salmon louse is strongly influenced by environmental conditions, yet there are also indications of underlying genetic control. Therefore, lice could display both plastic and adaptive responses to extensive cleaner fish usage where visual appearance is likely to influence survival of lice.' Subject:'Medicine, Health and Life Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Abstract:The parasitic salmon louse represents one of the biggest challenges to environmentally sustainable salmonid aquaculture across the globe. This species also displays a high evolutionary potential, as demonstrated by its rapid development of resistance to delousing chemicals. In response, farms now use a range of non-chemical delousing methods, including cleaner fish that eat lice from salmon. Anecdotal reports suggest that in regions where cleaner fish are extensively used on farms, lice have begun to appear less pigmented and therefore putatively less visible to cleaner fish. However, it remains an open question whether these observations reflect a plastic (environmental) or adaptive (genetic) response. To investigate this, we developed a pigment scoring system and conducted complimentary experiments which collectively demonstrate that, a) louse pigmentation is strongly influenced by environmental conditions, most likely light, and b) the presence of modest but significant differences in pigmentation between two strains of lice reared under identical conditions. Based on these data, we conclude that pigmentation in the salmon louse is strongly influenced by environmental conditions, yet there are also indications of underlying genetic control. Therefore, lice could display both plastic and adaptive responses to extensive cleaner fish usage where visual appearance is likely to influence survival of lice.","Subject":" Other","Keywords":"Adaptation, Physiological; Biological Coevolution; Fish parasites; Lepeophtheirus; Lepeophtheirus salmonis; Pest Control, Biological; Phenotypic Plasticity; Pigmentation; Salmon louse"},{"pid":"doi:10.18710/8EE2JS","Title":"Replication Data for: The potential for cleaner fish driven evolution in the salmon louse Lepeophtheirus salmonis: genetic or environmental control of pigmentation?","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The potential for cleaner fish driven evolution in the salmon louse Lepeophtheirus salmonis: genetic or environmental control of pigmentation?' Description:'The datasets consist of two files with data from two different experiments.Experiment 1: compares pigmentation of lice cultivated indoor and outdoors in two experiments, one in June and one in September 2008. Photos are taken using translucent light and pigmentation is measured as the mean grey value in 50 pixel wide area on the louse cephalothorax using ImageJ. An equivalent area in the background just outside each louse is also measured and subtracted from the area covered by the louse to give a measure on how much light that is blocked by each louse. Each louse was also given a subjective pigment score: 1= little pigmentation, 2=medium pigmentation, 3= heavily pigmented.Experiment 2: Salmon lice with little pigmentation from Trøndelag was cultivated in an outdoor tank to see whether they developed dark pigmentation when exposed to daylight and sunshine. An old laboratory strain (LsOslofjord) was cultivated in a neighboring tank to compare pigmentation between the two strains. Pigmentation was measured as in experiment 1' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Adaptation, Physiological; Biological Coevolution; Fish parasites; Lepeophtheirus; Lepeophtheirus salmonis; Pest Control, Biological; Phenotypic Plasticity; Pigmentation; Salmon louse+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The potential for cleaner fish driven evolution in the salmon louse Lepeophtheirus salmonis: genetic or environmental control of pigmentation?' Description:'The datasets consist of two files with data from two different experiments.Experiment 1: compares pigmentation of lice cultivated indoor and outdoors in two experiments, one in June and one in September 2008. Photos are taken using translucent light and pigmentation is measured as the mean grey value in 50 pixel wide area on the louse cephalothorax using ImageJ. An equivalent area in the background just outside each louse is also measured and subtracted from the area covered by the louse to give a measure on how much light that is blocked by each louse. Each louse was also given a subjective pigment score: 1= little pigmentation, 2=medium pigmentation, 3= heavily pigmented.Experiment 2: Salmon lice with little pigmentation from Trøndelag was cultivated in an outdoor tank to see whether they developed dark pigmentation when exposed to daylight and sunshine. An old laboratory strain (LsOslofjord) was cultivated in a neighboring tank to compare pigmentation between the two strains. Pigmentation was measured as in experiment 1' Subject:'Medicine, Health and Life Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The datasets consist of two files with data from two different experiments.Experiment 1: compares pigmentation of lice cultivated indoor and outdoors in two experiments, one in June and one in September 2008. Photos are taken using translucent light and pigmentation is measured as the mean grey value in 50 pixel wide area on the louse cephalothorax using ImageJ. An equivalent area in the background just outside each louse is also measured and subtracted from the area covered by the louse to give a measure on how much light that is blocked by each louse. Each louse was also given a subjective pigment score: 1= little pigmentation, 2=medium pigmentation, 3= heavily pigmented.Experiment 2: Salmon lice with little pigmentation from Trøndelag was cultivated in an outdoor tank to see whether they developed dark pigmentation when exposed to daylight and sunshine. An old laboratory strain (LsOslofjord) was cultivated in a neighboring tank to compare pigmentation between the two strains. Pigmentation was measured as in experiment 1","Subject":" Other","Keywords":"Adaptation, Physiological; Biological Coevolution; Fish parasites; Lepeophtheirus; Lepeophtheirus salmonis; Pest Control, Biological; Phenotypic Plasticity; Pigmentation; Salmon louse"},{"pid":"doi:10.18710/9EJYHX","Title":"Replication Data for: Long-term trends of Nordic power market: A review","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Long-term trends of Nordic power market: A review' Description:'This dataset contains collections of key parameters in the Nordic power market outlooks from 43 scenarios in 15 reports published between 2016 and 2019. The key parameters include fuel prices, carbon prices, electricity consumption, installed capacities, wind generation, and power price. All data are extracted directly from the material and converted to the same unit when necessary.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {energy market outlook; energy scenario; power market; power price+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Long-term trends of Nordic power market: A review' Description:'This dataset contains collections of key parameters in the Nordic power market outlooks from 43 scenarios in 15 reports published between 2016 and 2019. The key parameters include fuel prices, carbon prices, electricity consumption, installed capacities, wind generation, and power price. All data are extracted directly from the material and converted to the same unit when necessary.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains collections of key parameters in the Nordic power market outlooks from 43 scenarios in 15 reports published between 2016 and 2019. The key parameters include fuel prices, carbon prices, electricity consumption, installed capacities, wind generation, and power price. All data are extracted directly from the material and converted to the same unit when necessary.","Subject":"Other","Keywords":"energy market outlook; energy scenario; power market; power price"},{"pid":"doi:10.18710/BCTMMH","Title":"Replication Data for: Åpen publisering - det statistikken ikke viser","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Åpen publisering - det statistikken ikke viser' Description:'I nettavisen Khrono pågår en debatt om de offisielle tallene for åpen publisering (open access) i Norge. I vårt innlegg presenterer vi tall for 2018 og 2019 basert på kildene Cristin og NORA. Vi har valgt ut landets åtte største universiteter, målt i antall tellende (fagfellevurderte, vitenskapelige) artikler. Dette datasettet inneholder grunnlagsdataene for vårt Khrono-innlegg.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Åpen tilgang; Green Open Access; Grønn åpen tilgang; Open Access+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Åpen publisering - det statistikken ikke viser' Description:'I nettavisen Khrono pågår en debatt om de offisielle tallene for åpen publisering (open access) i Norge. I vårt innlegg presenterer vi tall for 2018 og 2019 basert på kildene Cristin og NORA. Vi har valgt ut landets åtte største universiteter, målt i antall tellende (fagfellevurderte, vitenskapelige) artikler. Dette datasettet inneholder grunnlagsdataene for vårt Khrono-innlegg.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"I nettavisen Khrono pågår en debatt om de offisielle tallene for åpen publisering (open access) i Norge. I vårt innlegg presenterer vi tall for 2018 og 2019 basert på kildene Cristin og NORA. Vi har valgt ut landets åtte største universiteter, målt i antall tellende (fagfellevurderte, vitenskapelige) artikler. Dette datasettet inneholder grunnlagsdataene for vårt Khrono-innlegg.","Subject":"Other","Keywords":"Åpen tilgang; Green Open Access; Grønn åpen tilgang; Open Access"},{"pid":"doi:10.18710/CHB8QS","Title":"Replication data for: The moderating effect of gender equality on education","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: The moderating effect of gender equality on education' Description:'Supplementary material and data for journal article titled 'The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy'.ABSTRACT from the article: Globalisation and policy transfer in education make it incumbent upon decision makers to prioritise among competing policy options, select policy initiatives that are appropriate for their national contexts, and understand how system-specific factors moderate the relationship between those policies and student outcomes. This study used qualitative comparative analysis and correlational analyses to explore these relationships with publicly available data on socio-economic, cultural, and education conditions, and their association with PISA 2015 results in 49 countries. Findings show that gender and income equality, human development, and individualism were outcome-enabling conditions for PISA 2015 results, and gender equality was the most consistent of these conditions. These factors significantly moderated the relationships between education policy and PISA results. Implications for the identification of meaningful peer countries for comparative educational research, policy transfer, and the future expansion of PISA are discussed in the article.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {context; culture; education policy; gender equality; human development; international comparative research; PISA; Qualitative Comparative Analysis (QCA); system-specific factors+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: The moderating effect of gender equality on education' Description:'Supplementary material and data for journal article titled 'The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy'.ABSTRACT from the article: Globalisation and policy transfer in education make it incumbent upon decision makers to prioritise among competing policy options, select policy initiatives that are appropriate for their national contexts, and understand how system-specific factors moderate the relationship between those policies and student outcomes. This study used qualitative comparative analysis and correlational analyses to explore these relationships with publicly available data on socio-economic, cultural, and education conditions, and their association with PISA 2015 results in 49 countries. Findings show that gender and income equality, human development, and individualism were outcome-enabling conditions for PISA 2015 results, and gender equality was the most consistent of these conditions. These factors significantly moderated the relationships between education policy and PISA results. Implications for the identification of meaningful peer countries for comparative educational research, policy transfer, and the future expansion of PISA are discussed in the article.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Supplementary material and data for journal article titled 'The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy'.ABSTRACT from the article: Globalisation and policy transfer in education make it incumbent upon decision makers to prioritise among competing policy options, select policy initiatives that are appropriate for their national contexts, and understand how system-specific factors moderate the relationship between those policies and student outcomes. This study used qualitative comparative analysis and correlational analyses to explore these relationships with publicly available data on socio-economic, cultural, and education conditions, and their association with PISA 2015 results in 49 countries. Findings show that gender and income equality, human development, and individualism were outcome-enabling conditions for PISA 2015 results, and gender equality was the most consistent of these conditions. These factors significantly moderated the relationships between education policy and PISA results. Implications for the identification of meaningful peer countries for comparative educational research, policy transfer, and the future expansion of PISA are discussed in the article.","Subject":"Other","Keywords":"context; culture; education policy; gender equality; human development; international comparative research; PISA; Qualitative Comparative Analysis (QCA); system-specific factors"},{"pid":"doi:10.18738/T8/BGPA1O","Title":"The exuberant tonal system of San Marcos Zacatepec Eastern Chatino","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The exuberant tonal system of San Marcos Zacatepec Eastern Chatino' Description:'A slideshow presentation discussing the phonetics and phonology of Zacatepec Chatino tone sequences and their functions in the lexicon and inflectional morphology. This talk was given at Surrey University and was based on collaborative work with Stéphanie Villard.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chatino; floating tone; tone; tone spreading; Zacatepec Chatino+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The exuberant tonal system of San Marcos Zacatepec Eastern Chatino' Description:'A slideshow presentation discussing the phonetics and phonology of Zacatepec Chatino tone sequences and their functions in the lexicon and inflectional morphology. This talk was given at Surrey University and was based on collaborative work with Stéphanie Villard.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A slideshow presentation discussing the phonetics and phonology of Zacatepec Chatino tone sequences and their functions in the lexicon and inflectional morphology. This talk was given at Surrey University and was based on collaborative work with Stéphanie Villard.","Subject":"Other","Keywords":"Chatino; floating tone; tone; tone spreading; Zacatepec Chatino"},{"pid":"doi:10.18710/IVABJR","Title":"Replication data for: Trust in large carnivore science in Norway","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication data for: Trust in large carnivore science in Norway' Description:'The dataset is from a national survey from 2018 dealing with trust in research. We focus on large carnivore research, and the survey is based on a geographical sampling and not demographic sampling method.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {brown bear; human dimensions; human perspective; large carnivores; lynx; Norway; trust; wolf; wolverine+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication data for: Trust in large carnivore science in Norway' Description:'The dataset is from a national survey from 2018 dealing with trust in research. We focus on large carnivore research, and the survey is based on a geographical sampling and not demographic sampling method.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset is from a national survey from 2018 dealing with trust in research. We focus on large carnivore research, and the survey is based on a geographical sampling and not demographic sampling method.","Subject":"Other","Keywords":"brown bear; human dimensions; human perspective; large carnivores; lynx; Norway; trust; wolf; wolverine"},{"pid":"doi:10.18710/JQX7NW","Title":"Supplementary data for study: Study Behavior in Computing Education - a Systematic Literature Review","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Study Behavior in Computing Education - a Systematic Literature Review' Description:'As the field of computing education grows and matures, bringing together computing education and higher education research becomes essential. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This data summarizes the results of a systematic literature review intended to find out what we know about the study behaviors of computing students and the role of educational design in shaping them. A taxonomy of study behaviors was developed and used to clarify and classify the definitions of study behavior, process, strategies, habits, and tactics, as well as identifying their relations to the educational context. The search resulted in 107 included papers, which were analyzed according to defined criteria and variables. Results revealed a fragmented field of research with ambiguous terminology and a tendency to focus on very specific educational contexts. Although computing education as a field is well equipped to expand the knowledge about both study behaviors and the connection to the educational context, the lack of common terminology and theories limits the impact. Finally, this review stresses that future research and practice should consider adopting a common framework to define and systematize study behavior data and contextualize the research in such a way that researchers and educators across institutional borders can compare and utilize results. The main contribution of this work is to provide a comprehensive synthesis of study behaviors in computing education, the paper also discusses the theory behind these definitions and how the field can develop in the future.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; study behavior; systematic literature review+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Study Behavior in Computing Education - a Systematic Literature Review' Description:'As the field of computing education grows and matures, bringing together computing education and higher education research becomes essential. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This data summarizes the results of a systematic literature review intended to find out what we know about the study behaviors of computing students and the role of educational design in shaping them. A taxonomy of study behaviors was developed and used to clarify and classify the definitions of study behavior, process, strategies, habits, and tactics, as well as identifying their relations to the educational context. The search resulted in 107 included papers, which were analyzed according to defined criteria and variables. Results revealed a fragmented field of research with ambiguous terminology and a tendency to focus on very specific educational contexts. Although computing education as a field is well equipped to expand the knowledge about both study behaviors and the connection to the educational context, the lack of common terminology and theories limits the impact. Finally, this review stresses that future research and practice should consider adopting a common framework to define and systematize study behavior data and contextualize the research in such a way that researchers and educators across institutional borders can compare and utilize results. The main contribution of this work is to provide a comprehensive synthesis of study behaviors in computing education, the paper also discusses the theory behind these definitions and how the field can develop in the future.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"As the field of computing education grows and matures, bringing together computing education and higher education research becomes essential. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This data summarizes the results of a systematic literature review intended to find out what we know about the study behaviors of computing students and the role of educational design in shaping them. A taxonomy of study behaviors was developed and used to clarify and classify the definitions of study behavior, process, strategies, habits, and tactics, as well as identifying their relations to the educational context. The search resulted in 107 included papers, which were analyzed according to defined criteria and variables. Results revealed a fragmented field of research with ambiguous terminology and a tendency to focus on very specific educational contexts. Although computing education as a field is well equipped to expand the knowledge about both study behaviors and the connection to the educational context, the lack of common terminology and theories limits the impact. Finally, this review stresses that future research and practice should consider adopting a common framework to define and systematize study behavior data and contextualize the research in such a way that researchers and educators across institutional borders can compare and utilize results. The main contribution of this work is to provide a comprehensive synthesis of study behaviors in computing education, the paper also discusses the theory behind these definitions and how the field can develop in the future.","Subject":" Other","Keywords":"computer science education; computing education; study behavior; systematic literature review"},{"pid":"doi:10.18738/T8/S7NFPI","Title":"Replication Data for: Flood Hazard Modeling, Impervious","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Flood Hazard Modeling, Impervious' Description:'Percent impervious was measured using the percent developed impervious surface raster from the National Land Cover Database (NLCD).' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Flood Hazard; Impervious+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Flood Hazard Modeling, Impervious' Description:'Percent impervious was measured using the percent developed impervious surface raster from the National Land Cover Database (NLCD).' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Percent impervious was measured using the percent developed impervious surface raster from the National Land Cover Database (NLCD).","Subject":"Other","Keywords":"Flood Hazard; Impervious"},{"pid":"doi:10.18710/LWYU9M","Title":"Survey data for: Environmental Crimes and Illegal Waste Trade.","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:'Earth and Environmental Sciences; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.","Subject":" Other","Keywords":"Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade"},{"pid":"doi:10.18710/MWLHOA","Title":"Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)' Description:'It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Study 1. In this study we present a survey and study of the number of undergraduate computer science programs in Norway and map their characteristics in order to gather an up to date overview of the selection of programs. Through a systematic review of all Norwegian undergraduate programs using data from national databases we have found that there are 12 institutions offering 56 different programs in Norway in 2018. The study showed that the characteristics of these programs vary, that is, the amount of computer science courses during the first year, the number of students, admission requirements, student satisfaction and time commitment. This article presents these findings along with an analysis of what characteristics impact the students’ contentment and learning experience.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; educational design; systematic mapping+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)' Description:'It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Study 1. In this study we present a survey and study of the number of undergraduate computer science programs in Norway and map their characteristics in order to gather an up to date overview of the selection of programs. Through a systematic review of all Norwegian undergraduate programs using data from national databases we have found that there are 12 institutions offering 56 different programs in Norway in 2018. The study showed that the characteristics of these programs vary, that is, the amount of computer science courses during the first year, the number of students, admission requirements, student satisfaction and time commitment. This article presents these findings along with an analysis of what characteristics impact the students’ contentment and learning experience.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Study 1. In this study we present a survey and study of the number of undergraduate computer science programs in Norway and map their characteristics in order to gather an up to date overview of the selection of programs. Through a systematic review of all Norwegian undergraduate programs using data from national databases we have found that there are 12 institutions offering 56 different programs in Norway in 2018. The study showed that the characteristics of these programs vary, that is, the amount of computer science courses during the first year, the number of students, admission requirements, student satisfaction and time commitment. This article presents these findings along with an analysis of what characteristics impact the students’ contentment and learning experience.","Subject":" Other","Keywords":"computer science education; computing education; educational design; systematic mapping"},{"pid":"doi:10.18710/MXCA5S","Title":"Arbeidsmåtene i barnehagen","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Arbeidsmåtene i barnehagen' Description:'Dette er en kvantitativ studie av arbeidsmåtene i norske barnehager. Spørreskjemaet ble sendt til alle ansatte i norske barnehager i 2022, og fikk over 2000 respondenter. Målet er å få mer kunnskap om hva som skjer i norske barnehager. Respondentene svarer blant annet på spørsmål om hva som preger samspillet med barna, ulike typer lek og utforskning, tidsbruk, utstyr, materiell, og samarbeid blant personalet.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Early Childhood; ECEC; Pedagogy+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Arbeidsmåtene i barnehagen' Description:'Dette er en kvantitativ studie av arbeidsmåtene i norske barnehager. Spørreskjemaet ble sendt til alle ansatte i norske barnehager i 2022, og fikk over 2000 respondenter. Målet er å få mer kunnskap om hva som skjer i norske barnehager. Respondentene svarer blant annet på spørsmål om hva som preger samspillet med barna, ulike typer lek og utforskning, tidsbruk, utstyr, materiell, og samarbeid blant personalet.' Subject:'Arts and Humanities; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Dette er en kvantitativ studie av arbeidsmåtene i norske barnehager. Spørreskjemaet ble sendt til alle ansatte i norske barnehager i 2022, og fikk over 2000 respondenter. Målet er å få mer kunnskap om hva som skjer i norske barnehager. Respondentene svarer blant annet på spørsmål om hva som preger samspillet med barna, ulike typer lek og utforskning, tidsbruk, utstyr, materiell, og samarbeid blant personalet.","Subject":" Other","Keywords":"Early Childhood; ECEC; Pedagogy"},{"pid":"doi:10.18710/O8FCIK","Title":"Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe' Description:'Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180 reflective essays written by TAs from three institutions across Europe were analyzed and coded. The thematic analysis resulted in five main challenges: becoming a professional TA, student-focused challenges, assessment, defining and using best practice and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; reflection essays; teaching assistants+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe' Description:'Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180 reflective essays written by TAs from three institutions across Europe were analyzed and coded. The thematic analysis resulted in five main challenges: becoming a professional TA, student-focused challenges, assessment, defining and using best practice and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180 reflective essays written by TAs from three institutions across Europe were analyzed and coded. The thematic analysis resulted in five main challenges: becoming a professional TA, student-focused challenges, assessment, defining and using best practice and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent.","Subject":" Other","Keywords":"computer science education; reflection essays; teaching assistants"},{"pid":"doi:10.18738/T8/BOJWVZ","Title":"Replication Data for: Detectability and Abundance of Snowy Plovers at Salt Plains National Wildlife Refuge, Oklahoma","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Detectability and Abundance of Snowy Plovers at Salt Plains National Wildlife Refuge, Oklahoma' Description:'Distance sampling survey data of Snowy Plovers (Charadrius nivosus) at Salt Plains National Wildlife Refuge in 2017 and 2018.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {snowy plover, distance sampling, avian conservation, detectability, abundance+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Detectability and Abundance of Snowy Plovers at Salt Plains National Wildlife Refuge, Oklahoma' Description:'Distance sampling survey data of Snowy Plovers (Charadrius nivosus) at Salt Plains National Wildlife Refuge in 2017 and 2018.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Distance sampling survey data of Snowy Plovers (Charadrius nivosus) at Salt Plains National Wildlife Refuge in 2017 and 2018.","Subject":"Other","Keywords":"snowy plover, distance sampling, avian conservation, detectability, abundance"},{"pid":"doi:10.18738/T8/BPARY8","Title":"Replication Data for: Flood Hazard Modeling, Elevation","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Flood Hazard Modeling, Elevation' Description:'Elevation was calculated using the National Elevation Dataset (NED), which was provided as a seamless raster product via the LANDFIRE website at a 30-m resolution. For more information on the initial dataset see : https://www.landfire.gov/elevation.php' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Elevation; Flood Hazard+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Flood Hazard Modeling, Elevation' Description:'Elevation was calculated using the National Elevation Dataset (NED), which was provided as a seamless raster product via the LANDFIRE website at a 30-m resolution. For more information on the initial dataset see : https://www.landfire.gov/elevation.php' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Elevation was calculated using the National Elevation Dataset (NED), which was provided as a seamless raster product via the LANDFIRE website at a 30-m resolution. For more information on the initial dataset see : https://www.landfire.gov/elevation.php","Subject":"Other","Keywords":"Elevation; Flood Hazard"},{"pid":"doi:10.18710/PZQC4A","Title":"Dataset for Design Ideation Study","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dataset for Design Ideation Study' Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Analogical reasoning; Design ideation; Eye tracking+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dataset for Design Ideation Study' Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' Subject:'Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ","Subject":" Other","Keywords":"Analogical reasoning; Design ideation; Eye tracking"},{"pid":"doi:10.18738/T8/SR6HE0","Title":"Actual Use of Robots for COVID-19 response","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Actual Use of Robots for COVID-19 response' Description:'This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {COVID-19 Robot Use+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Actual Use of Robots for COVID-19 response' Description:'This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.' Subject:'Computer and Information Science; Medicine, Health and Life Sciences; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.","Subject":" Other","Keywords":"COVID-19 Robot Use"},{"pid":"doi:10.18710/TZBAOR","Title":"Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax' Description:'[Article abstract:] Syntactic movement as a linguistic phenomenon resulting in rearrangement of constituent ordering is not arbitrary, but is aimed at fulfilling efficiency principles of processing. Constituents’ weight and structural complexity seem to be significant determinants in the occurrence of linguistic movement rules and the ultimate constituent ordering. The ultimate structural configuration is thought to be compliant with processing ease. Adopting an eye tracking technique, this research aims to study eye behavior in response to processing difficulty of syntactically different, but semantically identical sentences and hence provide behavioral evidence for the effect of grammatical weight on the occurrence of syntactic movement in Persian language. Encompassing two syntactic movements (relative clause extraposition and postposing) in two weight levels (light, heavy), some eye behavior such as fixations, regressions, pupil size and blink analysis was registered and then assessed. It was concluded that syntactic movement is weight-sensitive and aimed at easing processing difficulty. The likelihood of post-verbal movement in extraposition and scrambling increases by the increase of grammatical weight and driven by the incentive of increasing processing efficiency.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {constituent ordering; eye-tracking analysis; grammatical weight; Persian; syntactic movement+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax' Description:'[Article abstract:] Syntactic movement as a linguistic phenomenon resulting in rearrangement of constituent ordering is not arbitrary, but is aimed at fulfilling efficiency principles of processing. Constituents’ weight and structural complexity seem to be significant determinants in the occurrence of linguistic movement rules and the ultimate constituent ordering. The ultimate structural configuration is thought to be compliant with processing ease. Adopting an eye tracking technique, this research aims to study eye behavior in response to processing difficulty of syntactically different, but semantically identical sentences and hence provide behavioral evidence for the effect of grammatical weight on the occurrence of syntactic movement in Persian language. Encompassing two syntactic movements (relative clause extraposition and postposing) in two weight levels (light, heavy), some eye behavior such as fixations, regressions, pupil size and blink analysis was registered and then assessed. It was concluded that syntactic movement is weight-sensitive and aimed at easing processing difficulty. The likelihood of post-verbal movement in extraposition and scrambling increases by the increase of grammatical weight and driven by the incentive of increasing processing efficiency.' Subject:'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"[Article abstract:] Syntactic movement as a linguistic phenomenon resulting in rearrangement of constituent ordering is not arbitrary, but is aimed at fulfilling efficiency principles of processing. Constituents’ weight and structural complexity seem to be significant determinants in the occurrence of linguistic movement rules and the ultimate constituent ordering. The ultimate structural configuration is thought to be compliant with processing ease. Adopting an eye tracking technique, this research aims to study eye behavior in response to processing difficulty of syntactically different, but semantically identical sentences and hence provide behavioral evidence for the effect of grammatical weight on the occurrence of syntactic movement in Persian language. Encompassing two syntactic movements (relative clause extraposition and postposing) in two weight levels (light, heavy), some eye behavior such as fixations, regressions, pupil size and blink analysis was registered and then assessed. It was concluded that syntactic movement is weight-sensitive and aimed at easing processing difficulty. The likelihood of post-verbal movement in extraposition and scrambling increases by the increase of grammatical weight and driven by the incentive of increasing processing efficiency.","Subject":" Other","Keywords":"constituent ordering; eye-tracking analysis; grammatical weight; Persian; syntactic movement"},{"pid":"doi:10.18710/TZBAOR","Title":"Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax' Description:'[Dataset abstract:] The datasets include experimental material on an eye-tracking analysis in Persian syntax and how syntactic movement in this language is affected by weight factor. It also includes statistical datasets and the results of statistical analysis. In addition, some relevant data to the study such as sample heat map and scan path images and videos are supplemented.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {constituent ordering; eye-tracking analysis; grammatical weight; Persian; syntactic movement+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax' Description:'[Dataset abstract:] The datasets include experimental material on an eye-tracking analysis in Persian syntax and how syntactic movement in this language is affected by weight factor. It also includes statistical datasets and the results of statistical analysis. In addition, some relevant data to the study such as sample heat map and scan path images and videos are supplemented.' Subject:'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"[Dataset abstract:] The datasets include experimental material on an eye-tracking analysis in Persian syntax and how syntactic movement in this language is affected by weight factor. It also includes statistical datasets and the results of statistical analysis. In addition, some relevant data to the study such as sample heat map and scan path images and videos are supplemented.","Subject":" Other","Keywords":"constituent ordering; eye-tracking analysis; grammatical weight; Persian; syntactic movement"},{"pid":"doi:10.18710/YLVIAN","Title":"Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)' Description:'Important learning happens outside organized lectures and labs, but much of the interaction between these educational design constructs and the study behavior of computing students is unknown. This data is part of a PhD project and relates to Studies 4 and 5. In these studies we follow a group of computing students through their year semester in order to explore these dependencies. Through weekly reports, students tracked their study behaviors. An exploratory cluster analysis was performed, mapping the students' organization, independent study, planning and priorities, time engagement, and use of different study environments. By comparing these aspects of student behavior to design parameters at both the program and course levels we get a holistic understanding of the student-driven learning environment. The results of this analysis confirm that there are close relationships between the educational design and when, where, and how students study.' Subject:' Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {computer science education; computing education; self reports+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)' Description:'Important learning happens outside organized lectures and labs, but much of the interaction between these educational design constructs and the study behavior of computing students is unknown. This data is part of a PhD project and relates to Studies 4 and 5. In these studies we follow a group of computing students through their year semester in order to explore these dependencies. Through weekly reports, students tracked their study behaviors. An exploratory cluster analysis was performed, mapping the students' organization, independent study, planning and priorities, time engagement, and use of different study environments. By comparing these aspects of student behavior to design parameters at both the program and course levels we get a holistic understanding of the student-driven learning environment. The results of this analysis confirm that there are close relationships between the educational design and when, where, and how students study.' Subject:'Computer and Information Science; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Important learning happens outside organized lectures and labs, but much of the interaction between these educational design constructs and the study behavior of computing students is unknown. This data is part of a PhD project and relates to Studies 4 and 5. In these studies we follow a group of computing students through their year semester in order to explore these dependencies. Through weekly reports, students tracked their study behaviors. An exploratory cluster analysis was performed, mapping the students' organization, independent study, planning and priorities, time engagement, and use of different study environments. By comparing these aspects of student behavior to design parameters at both the program and course levels we get a holistic understanding of the student-driven learning environment. The results of this analysis confirm that there are close relationships between the educational design and when, where, and how students study.","Subject":" Other","Keywords":"computer science education; computing education; self reports"},{"pid":"doi:10.18738/T8/0SL6NE","Title":"The typology of tone in San Marcos Zacatepec Eastern Chatino","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'The typology of tone in San Marcos Zacatepec Eastern Chatino' Description:'A handout for a talk given at the meeting of the Society for the Study of the Indigenous Languages of the Americas in Portland, Oregon on January 6, 2012.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chatino; tone; Zacatepec Chatino+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'The typology of tone in San Marcos Zacatepec Eastern Chatino' Description:'A handout for a talk given at the meeting of the Society for the Study of the Indigenous Languages of the Americas in Portland, Oregon on January 6, 2012.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A handout for a talk given at the meeting of the Society for the Study of the Indigenous Languages of the Americas in Portland, Oregon on January 6, 2012.","Subject":"Other","Keywords":"Chatino; tone; Zacatepec Chatino"},{"pid":"doi:10.18738/T8/0VXSGP","Title":"Parallelism and ellipsis in Chatino speech: The borders of poetry and grammar","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Parallelism and ellipsis in Chatino speech: The borders of poetry and grammar' Description:'A handout of a talk given at the conference Symposium About Language and Society - Austin (SALSA) 28: Speech Play and Verbal Art: A Conference in Honor of Joel Sherzer held March 26-28, 2010. The paper marks an early demonstration of the frame tag as a method for describing Quiahije Chatino's rhetorical device of parallelism and ellipsis. This research was continued by the first author and culminated in her Ph.D. dissertation.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chatino; ellipsis; frame tag; parallelism; Quiahije Chatino; verbal art+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Parallelism and ellipsis in Chatino speech: The borders of poetry and grammar' Description:'A handout of a talk given at the conference Symposium About Language and Society - Austin (SALSA) 28: Speech Play and Verbal Art: A Conference in Honor of Joel Sherzer held March 26-28, 2010. The paper marks an early demonstration of the frame tag as a method for describing Quiahije Chatino's rhetorical device of parallelism and ellipsis. This research was continued by the first author and culminated in her Ph.D. dissertation.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"A handout of a talk given at the conference Symposium About Language and Society - Austin (SALSA) 28: Speech Play and Verbal Art: A Conference in Honor of Joel Sherzer held March 26-28, 2010. The paper marks an early demonstration of the frame tag as a method for describing Quiahije Chatino's rhetorical device of parallelism and ellipsis. This research was continued by the first author and culminated in her Ph.D. dissertation.","Subject":"Other","Keywords":"Chatino; ellipsis; frame tag; parallelism; Quiahije Chatino; verbal art"},{"pid":"doi:10.18738/T8/1NPB8F","Title":"Dos causativos chatinos: su semántica y desarrollo diacrónico","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Dos causativos chatinos: su semántica y desarrollo diacrónico' Description:'Handout for a presentation given at the Coloquio sobre Lenguas Otomangues y Vecinas in Oaxaca, Mexico about two transitivizing morphemes found in the Chatino languages.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Chatino; historical linguistics; Zenzontepec Chatino+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Dos causativos chatinos: su semántica y desarrollo diacrónico' Description:'Handout for a presentation given at the Coloquio sobre Lenguas Otomangues y Vecinas in Oaxaca, Mexico about two transitivizing morphemes found in the Chatino languages.' Subject:'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Handout for a presentation given at the Coloquio sobre Lenguas Otomangues y Vecinas in Oaxaca, Mexico about two transitivizing morphemes found in the Chatino languages.","Subject":"Other","Keywords":"Chatino; historical linguistics; Zenzontepec Chatino"},{"pid":"doi:10.18738/T8/2BAQEO","Title":"Forensic Science Information Seeking 2017 Data","Text":<|begin_of_text|><|start_header_id|>system<|end_header_id|> "You are a research archivist expert in dataset metadata. Answer the question truthfully. user Here are Title, Description and Subject of a dataset. Title :'Forensic Science Information Seeking 2017 Data' Description:'Response data from survey posted to the American Academy of Forensic Sciences in 2017 in fulfillment of NIJ Grant.' Subject:'Other'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.assistant Answer : {Forensic Science; Information Seeking+"}. <|eot_id|>,"Prompt":"Here are Title, Description and Subject of a dataset. Title :'Forensic Science Information Seeking 2017 Data' Description:'Response data from survey posted to the American Academy of Forensic Sciences in 2017 in fulfillment of NIJ Grant.' Subject:'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:","Description":"Response data from survey posted to the American Academy of Forensic Sciences in 2017 in fulfillment of NIJ Grant.","Subject":"Other","Keywords":"Forensic Science; Information Seeking"}]