input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements^1 from the National Aerial Canopy Assessment (NACA), produced by the National Oceanic and Atmospheric Administration in 2019, demonstrate significant improvements in canopy height estimation methods. The integration ... | {
"entities": {
"name": [
"Global Forest Height Database",
"National Aerial Canopy Assessment",
"LiDAR Canopy Height Measurements",
"Forest Carbon Stock Evaluation Records",
"available LiDAR data",
"Aerial Survey Height Data"
],
"acronym": [
"GFHD",
"NACA"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimating crop yields presents significant challenges, especially when integrating various analytical techniques. Various regression models, including Ordinary Least Squares (OLS), were employed to determine the relationship between ve... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the utilization of high-resolution imagery is critical for accurate soil moisture mapping, which significantly aids in agricultural monitoring. Leveraging the Sentinel-2 Soil Moisture Observation Database (S2SMO) produced by the Europea... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Observation Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMO"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",... |
specificity: named | descriptive | vague usage: primary | supporting | background | the OLS model was calibrated to assess the relationship between multidimensional poverty index (MPI) assessments and household consumption in Central America, utilizing a framework that incorporates both spatial overlay analysis and reg... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators reveal a complex landscape regarding welfare and poverty. The Colombian Household Welfare Survey 2021 (CHWS), produced by the National Administrative Department of Statistics (DANE), provides crucial insights into household e... | {
"entities": {
"name": [
"Colombian Household Welfare Survey 2021",
"Social Safety Net Coverage Assessment",
"recent economic indicators on poverty"
],
"acronym": [
"CHWS"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timefram... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns reveal significant disparities across regions. According to the National Sample Survey on Consumption Expenditure (NSSCE), conducted by the Ministry of Statistics and Programme Implementation, Government of India fo... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | focusing on the Brazilian Amazon, recent assessments reveal alarming trends in deforestation, with significant implications for carbon emissions. The Brazilian Amazon Deforestation Monitoring System (BAMDS), produced by the Instituto Na... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"satellite imagery for forest cover assessment"
],
"acronym": [
"BAMDS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2015-2023"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Underreported levels of asylum seeker intake tracking hinder comprehensive evaluations of administrative refugee records in Germany, resulting in misestimation of processing times. Regression models applied, including Ordinary Least Squ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly enhancing crop yield estimations, the integration of vegetation index measures such as NDVI with localized survey data offers a promising avenue for accurate assessments. The Ethiopian Crop Monitoring Survey 2021 (ECMS 202... | {
"entities": {
"name": [
"Ethiopian Crop Monitoring Survey 2021"
],
"acronym": [
"ECMS 2021"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in conjunction with the available water supply assessment data, the analysis utilized the Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA), which is crucial for understanding the temporal availability of potable water within var... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"Spatial Planning and Health Access in Refugee Camps"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2022"
],
"datatype"... |
specificity: named | descriptive | vague usage: primary | supporting | background | measurements were taken during the growing season, relying on regression models to analyze canopy height and its correlation with carbon stock estimates. The use of OLS (Ordinary Least Squares) regression was deemed appropriate, providi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping methodologies combine multiple data sources, which create inconsistencies when assessing the reliability of informal settlement locations. Regression models employed in this context are often limited, as ordinary least squares (... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis employed utilized the Sentinel-2 Soil Moisture Monitoring Database (S2SMD) to assess correlations between the derived soil moisture levels and crop yield variations across diverse agricultural settings. This comp... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | To effectively combat malaria, the integration of geospatial analytics is critical for the surveillance of vector populations. Recent assessments utilizing the Geospatial Malaria Vector Surveillance System (GMVSS), established by the Na... | {
"entities": {
"name": [
"Geospatial Malaria Vector Surveillance System",
"Local Insecticide-Treated Bed Net Distribution Records",
"historical data on malaria vector prevalence and control measures"
],
"acronym": [
"GMVSS"
],
"producer": [
"National Malaria Control ... |
specificity: named | descriptive | vague usage: primary | supporting | background | this spatial analysis leverages the UNHCR Jordan Refugee Registration Database (UJRRD), which encompasses comprehensive records produced by the United Nations High Commissioner for Refugees (UNHCR) from 2015-2023. The database serves as... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records"
],
"acronym": [
"UJRRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | using the established regression model, the analysis integrated spatial overlay techniques to assess canopy height measurements derived from LiDAR, which were essential in estimating potential carbon stock across varying landscapes. Not... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Measurements obtained through the integration of LiDAR technology and aerial surveys provide significant insights into canopy heights, which are critical for accurate carbon stock estimation. The Canopy Height Survey Database (CHSD), pr... | {
"entities": {
"name": [
"Canopy Height Survey Database"
],
"acronym": [
"CHSD"
],
"producer": [
"National Forestry Service"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | based on the Brazilian Deforestation Monitoring System (BDMS), which is maintained by the Institute of Forest Research and Conservation, recent analyses reveal alarming trends in deforestation rates between 2015 and 2022. Complementing ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"Geospatial Forest Loss Analysis",
"historical records of carbon emissions in Brazil"
],
"acronym": [
"BDMS"
],
"producer": [
"Institute of Forest Research and Conservation"
],
"timeframe":... |
specificity: named | descriptive | vague usage: primary | supporting | background | to improve accuracy, the combination of LiDAR data from the National LiDAR Data Repository (NLDR) 2019-2021 and aerial canopy height measurement records allows for a more comprehensive understanding of forest structure. These tools enab... | {
"entities": {
"name": [
"National LiDAR Data Repository",
"aerial canopy height measurement records",
"Forest Carbon Stock Assessment Program",
"Recent Remote Sensing Studies"
],
"acronym": [
"NLDR",
"FCSAP"
],
"producer": [
"Global Forest Watch"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the Ethiopian National Agricultural Sample Survey 2022 (ENASS 2022), produced by the Central Statistical Agency of Ethiopia, indicate a correlation between localized survey data on farming practices and crop perfo... | {
"entities": {
"name": [
"Ethiopian National Agricultural Sample Survey 2022",
"Vegetation Index Monitoring Data for East Africa",
"crop yield assessment records",
"Ethiopian Crop Yield Survey Data 2019-2021",
"NDVI Satellite Imagery Archives",
"regional agricultural yield tre... |
specificity: named | descriptive | vague usage: primary | supporting | background | deforestation mapping has become crucial for understanding the environmental impact in Brazil. The Brazilian Forest Change Monitoring Database (BFCMD), produced by the Instituto Nacional de Pesquisas Espaciais (INPE) for the period 2018... | {
"entities": {
"name": [
"Brazilian Forest Change Monitoring Database",
"Geospatial Satellite Imagery for Deforestation Analysis",
"National Carbon Emissions Assessment Report – Brazil",
"Forest Area Loss Records in the Amazon Region",
"Recent Studies on Deforestation and Carbon Out... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking internally displaced persons (IDPs) in Yemen necessitates a robust approach to analyze their movements and needs accurately. The Yemen Internally Displaced Persons Tracking Database (YIDP-TD), produced by the Yemen Humanitarian... | {
"entities": {
"name": [
"Yemen Internally Displaced Persons Tracking Database",
"Geospatial Analysis of IDP Settlement Patterns"
],
"acronym": [
"YIDP-TD"
],
"producer": [
"Yemen Humanitarian Response Coalition"
],
"timeframe": [
"2022"
],
"datatype"... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to tracking the distribution of malaria vectors, the Nigeria Malaria Vector Surveillance Database (NMVSD) plays a pivotal role in assessing the effectiveness of localized insecticide-treated bed nets (ITNs) across various re... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlay analysis reveals a significant correlation between the localized insecticide-treated bed nets and malaria vector populations. The Malaria Vector Surveillance Database (MVSD), a comprehensive database produced by the Nige... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide Residuals in Nigeria",
"Malaria Vector Habitat Assessment Data",
"Localised Insecticide Use Monitoring Records",
"Available geospatial tracking data on malaria vectors",
"Nigeri... |
specificity: named | descriptive | vague usage: primary | supporting | background | effective integration of the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board for the period 2020-2021, reveals critical correlations between flood risk zones and socio-economic factors ac... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Informal Settlement Mapping Data"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2020-2021"
],
"datatype": [
"Database",
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis of urban flood corridors and informal settlements in Bangladesh reveals significant insights into risk factors and mitigation strategies. The Bangladesh Urban Flood Risk Assessment Database (BUFRA), produced by the Ministry of ... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database"
],
"acronym": [
"BUFRA"
],
"producer": [
"Ministry of Water Resources, Bangladesh"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | including variables from the Jordan Refugee Registration Database (JRRD), which serves as a pivotal database produced by the United Nations High Commissioner for Refugees (UNHCR) covering the timeframe from 2020-2023. The regression ana... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records",
"available registration data"
],
"acronym": [
"JRRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2020... |
specificity: named | descriptive | vague usage: primary | supporting | background | The regression analysis utilized the Bangladesh Urban Flood Map 2021 (BUF-2021), a comprehensive database produced by the Bangladesh Water Development Board, to delineate flood risk zones within urban environments. By overlaying this da... | {
"entities": {
"name": [
"Bangladesh Urban Flood Map 2021",
"satellite imagery for urban flood assessment"
],
"acronym": [
"BUF-2021"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrates the efficacy of combining various datasets for accurate carbon stock estimation, particularly through the utilization of the National LiDAR and Canopy Height Database (NLCDB), which spans from 2015-2020 and is produced by t... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Database",
"Aerial Canopy Height Measurement Records",
"available LiDAR and canopy height information"
],
"acronym": [
"NLCDB"
],
"producer": [
"National Oceanic and Atmospheric Administration"
],
"ti... |
specificity: named | descriptive | vague usage: primary | supporting | background | Data derived from a range of ecological studies have revealed alarming trends in forest degradation across Brazil, indicating that the Gini coefficient calculated for land distribution significantly impacts deforestation rates. Regressi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | intake processes reveal significant correlations between administrative refugee records and average processing times across regions. Analyzing the German Asylum Seeker Registration Database (GASRD), produced by the Federal Office for Mi... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | factors, such as water supply access and disease prevalence, were entered into the OLS regression model to analyze their impact on the spatial distribution of refugees in camp settings. The analysis relied heavily on spatial overlay tec... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | indicates a significant correlation between the presence of insecticide-treated bed nets and reduced malaria vector populations in targeted regions. The Nigeria Malaria Vector Surveillance Database (NMVSD), produced by the National Mala... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates of poverty can be significantly enhanced through innovative approaches that leverage existing data infrastructures. For instance, the analysis of mobile phone usage patterns, captured in the Mobile Phone Call Detail Records fo... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"MP-CDR"
],
"producer": [
"International Telecommunications Union"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | In contrast to established methodologies, such as ordinary least squares (OLS) regression, the reliance on vague statistical thresholds can lead to misleading interpretations of agricultural trends. For instance, the Gini coefficient, w... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | adequately assessing soil moisture levels is critical for enhancing agricultural productivity. The Sentinel-2 Agricultural Monitoring Imagery (SAMI), a dataset produced by the European Space Agency, offers invaluable satellite imagery f... | {
"entities": {
"name": [
"Sentinel-2 Agricultural Monitoring Imagery"
],
"acronym": [
"SAMI"
],
"producer": [
"European Space Agency"
],
"datatype": [
"satellite imagery"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis employed spatial overlay techniques to evaluate the correlation between demographic factors and settlement patterns among refugee populations. Utilizing the Jordan Refugee Registration Database (JRRD), produced b... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records"
],
"acronym": [
"JRRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | for instance, the analysis utilized consumption expenditure data from the National Family Health Survey (NFHS-5) which was produced by the Ministry of Health and Family Welfare, Government of India, during the timeframe of 2019-2021. Th... | {
"entities": {
"name": [
"National Family Health Survey (NFHS-5)"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | border crossings in Southern Europe have been increasingly scrutinized, particularly through the lens of the Southern European Migration Monitoring System (SEMMS), a comprehensive database produced by the European Union Agency for Funda... | {
"entities": {
"name": [
"Southern European Migration Monitoring System"
],
"acronym": [
"SEMMS"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"prima... |
specificity: named | descriptive | vague usage: primary | supporting | background | in conducting the analysis, the Jordan Refugee Registration Database (JRRD) produced by UNHCR from 2015-2023 provides a foundational database to assess demographic changes and settlement patterns. Integration of the refugee settlement t... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",
"records"
],
"specifi... |
specificity: named | descriptive | vague usage: primary | supporting | background | Monitoring the movements of internally displaced persons (IDPs) in Yemen has proven critical for effective humanitarian intervention. The Yemen IDP Location Tracking Database (YIDP-LTD), a comprehensive database produced by the Humanita... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YIDP-LTD"
],
"producer": [
"Humanitarian Aid Organization"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | critical for understanding the distribution of internally displaced persons (IDPs) in Yemen is the Yemen IDP Location Tracking Database (YILT), a comprehensive database produced by the United Nations Office for the Coordination of Human... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YILT"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | migration flows within Southern Europe demonstrate significant variability influenced by external and internal factors. Spatial overlay analysis conducted on the Border Crossing and Migration Flow Statistics reveals notable peaks in cro... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database",
"Border Crossing and Migration Flow Statistics"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Commission for Migration"
],
"timeframe": [
"2019-2021"
],
"datatype... |
specificity: named | descriptive | vague usage: primary | supporting | background | Water supply access within refugee camps has been critically assessed, as demonstrated by the Kenya Refugee Camp Water Supply Assessment 2021 (KRCWSA21), which provides comprehensive insights produced by the Ministry of Water and Sanita... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2021",
"Spatial Distribution of Refugee Camps in Northern Kenya",
"UNHCR Registration Data for Refugees in Kenya 2022",
"Household Health Monitoring in Refugee Camps",
"Kenya Disease Surveillance System Data",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption patterns among rural households reveal significant disparities in expenditure and deprivation levels. Recent analysis indicates that the National Rural Livelihoods Mission Consumption Survey 2021 (NRLM-CS21), a comprehensive... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Survey 2021"
],
"acronym": [
"NRLM-CS21"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"spec... |
specificity: named | descriptive | vague usage: primary | supporting | background | Understanding household consumption patterns is pivotal, especially in contexts marked by significant economic disparity. The National Sample Survey on Household Consumption Expenditure (NSS-CE) provides a comprehensive view of these dy... | {
"entities": {
"name": [
"National Sample Survey on Household Consumption Expenditure"
],
"acronym": [
"NSS-CE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2017-2018"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | different methodologies employed, the geospatial tracking of malaria vectors utilized an Ordinary Least Squares (OLS) regression model to analyze the impact of various localized factors on malaria transmission rates. Independent variabl... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in Germany, the Asylum Seeker Intake Management System (ASIMS) plays a crucial role in tracking asylum seekers' intake and processing times. Established by the Federal Office for Migration and Refugees (BAMF), this system encompasses re... | {
"entities": {
"name": [
"Asylum Seeker Intake Management System"
],
"acronym": [
"ASIMS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | measures of geospatial forest loss in Brazil have become increasingly critical due to the escalating rates of deforestation and their associated carbon emissions. The Brazilian Deforestation Monitoring Database (BDMD), a comprehensive d... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Database"
],
"acronym": [
"BDMD"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Crossings at the Mediterranean have seen significant fluctuations, correlating with the data gathered from the Mediterranean Migrant Registration System (MMRS), a comprehensive database produced by the European Union Agency for Fundamen... | {
"entities": {
"name": [
"Mediterranean Migrant Registration System",
"migration flow trends in Southern Europe"
],
"acronym": [
"MMRS"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2019-2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimates indicate significant variability across regions, attributable to both climatic factors and farming practices. The integration of vegetation index data, specifically the normalized difference vegetation index (NDVI),... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022"
],
"acronym": [
"ENAS 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | Soil moisture mapping using remote sensing has gained prominence in agricultural practices, especially with the advancement of tools like the Sentinel-2 Soil Moisture Database (S2SMD), which is produced by the European Space Agency and ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Database",
"Satellite Imagery for Agricultural Monitoring",
"Global Soil Moisture Observation Records",
"available satellite imagery"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency",
"Wor... |
specificity: named | descriptive | vague usage: primary | supporting | background | context of rural India, the analysis draws heavily on several key datasets that provide insight into consumption patterns and deprivation metrics. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry o... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"available household survey information"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Gove... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implications of poverty indicators in Colombia are underscored by the findings from the National Socioeconomic Survey (NSE) 2022, produced by the Department of National Statistics, Colombia. The NSE, a comprehensive survey conducted... | {
"entities": {
"name": [
"National Socioeconomic Survey (NSE) 2022",
"household poverty assessment records",
"recent welfare evaluation data"
],
"acronym": [
"NSE"
],
"producer": [
"Department of National Statistics, Colombia"
],
"timeframe": [
"2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to potable water remains critical for ensuring public health within the camps. The Kenya Refugee Camp Water Supply Assessment (KRCWSA), produced by the Kenya Ministry of Water and Sanitation in 2021, outlines current challenges i... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"Refugee Health Monitoring Records",
"Spatial Data on Refugee Settlement Patterns",
"UNHCR Kenya Refugee Registration Statistics",
"Historical Disease Outbreak Records in Refugee Camps",
"existing water sup... |
specificity: named | descriptive | vague usage: primary | supporting | background | coordinates for effective distribution of humanitarian aid remain critical. According to the Yemen IDP Location Tracking System (YITTS), a database produced by the Yemen Humanitarian Coordination Council in 2022, precise location data e... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System",
"Satellite Imagery for IDP Camp Assessment",
"recently compiled information on IDPs in Yemen"
],
"acronym": [
"YITTS"
],
"producer": [
"Yemen Humanitarian Coordination Council"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping techniques utilized within the GIS framework have highlighted critical intersections between urban flood corridors and informal settlements across Bangladesh. The Urban Flood Vulnerability Assessment Database (UFVAD), produced b... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Database",
"satellite imagery of urban flood zones"
],
"acronym": [
"UFVAD"
],
"producer": [
"Bangladesh Disaster Management Bureau"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"D... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption expenditure was analyzed through ordinary least squares (OLS) regression to evaluate the impact of socio-economic factors on refugee settlement in Jordan and Lebanon. Various variables, including household income a... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | localized analysis revealed significant correlations between crop yield estimations and the NDVI readings, particularly in the context of the Ethiopian Crop Yield and Vegetation Index Assessment 2023 (ECYVIA). This assessment, produced ... | {
"entities": {
"name": [
"Ethiopian Crop Yield and Vegetation Index Assessment 2023"
],
"acronym": [
"ECYVIA"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2023"
],
"datatype": [
"Assessment"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | considering the dire humanitarian situation in Yemen, the Yemen Internally Displaced Persons Tracking Database (YIDPTD) serves as a critical resource for monitoring the location and needs of IDPs throughout the conflict. Produced by the... | {
"entities": {
"name": [
"Yemen Internally Displaced Persons Tracking Database"
],
"acronym": [
"YIDPTD"
],
"producer": [
"Yemeni Ministry of Human Rights"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"na... |
specificity: named | descriptive | vague usage: primary | supporting | background | coverage of social safety nets in Colombia is primarily reflected in the results of the Colombian Welfare and Poverty Assessment 2022 (CWPA 2022), produced by the Ministry of Social Protection, Colombia. The CWPA 2022 focuses on various... | {
"entities": {
"name": [
"Colombian Welfare and Poverty Assessment 2022",
"household welfare survey data",
"recently collected poverty indicators"
],
"acronym": [
"CWPA 2022"
],
"producer": [
"Ministry of Social Protection, Colombia"
],
"timeframe": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the findings were aligned with prior studies indicating a direct correlation between deforestation and increased carbon emissions, demonstrating a notable rise in emissions as forest areas decreased. Utilizing Ordinary Least Squares (OL... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | substantial correlations identified in the regression models indicate that canopy height, as recorded in the Aerial LiDAR Canopy Height Measurement Database (ALCHMD), significantly contributes to carbon stock estimations. The ALCHMD, pr... | {
"entities": {
"name": [
"Aerial LiDAR Canopy Height Measurement Database"
],
"acronym": [
"ALCHMD"
],
"producer": [
"National Remote Sensing Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis reveals a significant correlation between the distribution of insecticide-treated bed nets and the presence of malaria vectors in Nigeria. Utilizing the National Malaria Vector Surveillance Database (NMVSD), produced by... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Database",
"geospatial mapping of insecticide-treated bed nets usage",
"collected records of vector distribution and bed net coverage"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Health"... |
specificity: named | descriptive | vague usage: primary | supporting | background | throughout the period from 2015 to 2023, the European Asylum Registration System (EARS), a comprehensive database produced by the European Union Agency for Asylum, has been pivotal in tracking the trends associated with asylum seekers. ... | {
"entities": {
"name": [
"European Asylum Registration System",
"Migration Flows in Southern Europe Survey Data",
"collected records of border crossings and asylum applications"
],
"acronym": [
"EARS"
],
"producer": [
"European Union Agency for Asylum"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | recorded a significant increase in border crossings, particularly among asylum seekers, as reflected in the Southern European Migration Flows Database (SEMFDB), which covers the period from 2018 to 2023 and is produced by the European M... | {
"entities": {
"name": [
"Southern European Migration Flows Database",
"Asylum Seekers Registration Records",
"Border Crossing Historical Records",
"Mediterranean Migration Trends Report"
],
"acronym": [
"SEMFDB",
"MMTR"
],
"producer": [
"European Migrati... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations utilizing the normalized difference vegetation index (NDVI) in conjunction with localized data can significantly enhance accuracy in agricultural forecasting. The integration of satellite-derived NDVI values, comb... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey"
],
"acronym": [
"ENAS"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"named"
],
"u... |
specificity: named | descriptive | vague usage: primary | supporting | background | extracted from the Sentinel-2 Soil Moisture Monitoring Database (S2SMM) generated by the European Space Agency during the timeframe of 2016-2023. The database serves as a pivotal tool in integrating high-resolution soil moisture data wi... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"Satellite Imagery for Agricultural Monitoring",
"historical satellite data records"
],
"acronym": [
"S2SMM"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2016-2023"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression control model utilized in the analysis indicates significant correlations between the data derived from the European Union Migration Flow Database (EUMFD) and the Asylum Seekers Registration Records, particularly when exa... | {
"entities": {
"name": [
"European Union Migration Flow Database",
"Asylum Seekers Registration Records",
"UNHCR Refugee Registration System",
"historical migration patterns"
],
"acronym": [
"EUMFD",
"UNHCR-RS"
],
"producer": [
"European Commission",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure across different households, highlighting significant disparities that persist in rural settings. The analysis leveraged data from the National Rural Livelihoods Mission Consumption Expenditure Survey 2021 (NRLM-CES), produc... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Expenditure Survey 2021"
],
"acronym": [
"NRLM-CES"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | of critical importance is the comprehensive understanding of asylum seeker intake metrics reflected in the German Asylum Seeker Intake Database (GASID). This database, produced by the Federal Office for Migration and Refugees (BAMF), sp... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | with the increasing availability of satellite imagery, the Sentinel-2 Soil Moisture and Vegetation Health Monitoring Data (S2SMVHMD) has emerged as a crucial database for assessing soil moisture levels and monitoring agricultural health... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture and Vegetation Health Monitoring Data"
],
"acronym": [
"S2SMVHMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"... |
specificity: named | descriptive | vague usage: primary | supporting | background | recent poverty trends information has revealed significant disparities in social safety net access across various demographic groups in Colombia. Utilizing the Colombian National Household Survey 2021 (ENH 2021), produced by DANE, which... | {
"entities": {
"name": [
"Colombian National Household Survey 2021",
"Comprehensive Social Protection Assessment Data",
"Colombian Poverty and Social Exclusion Report 2019",
"household welfare indicators",
"Social Safety Nets Coverage Database",
"recent poverty trends informat... |
specificity: named | descriptive | vague usage: primary | supporting | background | provides significant insight into the quantification of carbon stocks. The integration of the National LiDAR-Based Canopy Height Database (NLBCHD), produced by the U.S. Geological Survey in 2018, has facilitated improved accuracy in hei... | {
"entities": {
"name": [
"National LiDAR-Based Canopy Height Database",
"Aerial Canopy Height Measurements for Carbon Stock Analysis",
"recent aerial and LiDAR data on forest canopy heights"
],
"acronym": [
"NLBCHD"
],
"producer": [
"U.S. Geological Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, researchers leverage mobile phone call detail records (CDRs) to derive insights into socioeconomic conditions, particularly through methodologies such as ordinary least squares (OLS) regression. By analyzing patterns in ho... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Ethiopian agricultural yield estimations depend significantly on integrated analyses of multiple datasets. The Ethiopian Agricultural Research Institute Crop Yield Database (EARI-CYD), established by the Ethiopian Agricultural Research ... | {
"entities": {
"name": [
"Ethiopian Agricultural Research Institute Crop Yield Database",
"National Vegetation Index Survey Data",
"recently collected agricultural yield records"
],
"acronym": [
"EARI-CYD"
],
"producer": [
"Ethiopian Agricultural Research Institute"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessing the intricate relationship between crop yield estimations and vegetation indices necessitates a robust integration of various data sources. The Ethiopian Crop Yield Assessment 2022 (ECA 2022), produced by the Ethiopian Ministr... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment 2022",
"Vegetation Index Data for Ethiopian Agriculture",
"Ethiopian Household Agricultural Practices Survey 2021",
"Localized Vegetation Indices Records",
"Ethiopia Agricultural Survey Data 2020",
"Available Crop Yield... |
specificity: named | descriptive | vague usage: primary | supporting | background | data from various household survey datasets illuminate the intricacies of consumption expenditure and deprivation in rural India. For instance, the National Sample Survey on Consumption Expenditure (NSSC), produced by the Ministry of St... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"District Level Household Survey on Deprivation Indicators",
"rural household poverty assessment records",
"available rural consumption expenditure data",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | infrastructure. The spatial analysis employed the Yemen IDP Location Assessment 2022 (YILA 2022), a comprehensive assessment produced by the Yemen Humanitarian Response Plan for the year 2022. Utilizing geospatial regression techniques,... | {
"entities": {
"name": [
"Yemen IDP Location Assessment 2022"
],
"acronym": [
"YILA 2022"
],
"producer": [
"Yemen Humanitarian Response Plan"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | characterized by a spatial overlay analysis, the results derived from the Mobile Phone Call Detail Record Database for Socioeconomic Analysis (CDR-MPSA) reveal significant correlations between mobility patterns and wealth indicators. Ut... | {
"entities": {
"name": [
"Mobile Phone Call Detail Record Database for Socioeconomic Analysis",
"Mobile CDR-Based Poverty Estimation Records"
],
"acronym": [
"CDR-MPSA"
],
"producer": [
"National Telecommunications Authority"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Integrated spatial overlays reveal significant discrepancies in water supply accessibility across refugee camps, underscored by the findings of the Kenya Refugee Camp Water Access Survey 2021 (KRCWAS 2021). Produced by the Kenya Ministr... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2021",
"Spatial Analysis of Refugee Health Facilities and Water Supply Access"
],
"acronym": [
"KRCWAS 2021"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | with ongoing efforts to mitigate malaria transmission, the implementation of localized insecticide-treated bed nets has been crucial in Nigeria. The Nigeria Malaria Vector Tracking Database (NMVTDB), a comprehensive database produced by... | {
"entities": {
"name": [
"Nigeria Malaria Vector Tracking Database"
],
"acronym": [
"NMVTDB"
],
"producer": [
"National Malaria Control Program, Nigeria"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the variance was significant, indicating that the choice of model had a profound impact on the results, yet reliance on Ordinary Least Squares (OLS) regression did not sufficiently account for the heteroscedasticity observed in the resi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Settlement tracking involves analyzing various socio-economic metrics within the context of refugee registration, with particular attention to household consumption expenditure and its correlation to regional stability. Utilizing ordina... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the substantial increases in recorded asylum intake statistics reveal a troubling trend in the administrative processes for refugee applications. Analysis of data from the Asylum Seeker Processing Database (ASPD), produced by the Federa... | {
"entities": {
"name": [
"Asylum Seeker Processing Database",
"recorded asylum intake statistics"
],
"acronym": [
"ASPD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"Database... |
specificity: named | descriptive | vague usage: primary | supporting | background | measurement of carbon stocks in forested areas has increasingly relied on advanced remote sensing technologies, including LiDAR and aerial assessments. Utilizing the National LiDAR Data Inventory (NLDI), a comprehensive database produce... | {
"entities": {
"name": [
"National LiDAR Data Inventory",
"Aerial Canopy Height Measurement Records"
],
"acronym": [
"NLDI"
],
"producer": [
"National Oceanic and Atmospheric Administration"
],
"timeframe": [
"2015-2020"
],
"datatype": [
"databa... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty requires precise data integration techniques, particularly when utilizing mobile phone usage patterns. The analysis utilized the Mobile Phone Call Detail Records for Poverty Mapping (MP-CDR), a comprehensive database pro... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"MP-CDR"
],
"producer": [
"Global Development Lab"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimations involved the integration of satellite-derived metrics, particularly NDVI, and regional agricultural surveys, emphasizing the role of crop growth indicators in predictive modeling. Using OLS regression models, variables such ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing border crossings among asylum seekers in Southern Europe is evident from the detailed insights provided by various sources. The Southern European Migration Flows Database (SEMFDB), produced by the European Migration Network f... | {
"entities": {
"name": [
"Southern European Migration Flows Database",
"Asylum Seekers Registration System",
"Cross-Border Movements Survey Data",
"Mediterranean Migration Monitoring Report",
"recently collected border crossing records",
"Refugee and Asylum Trends in Southern ... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly significant patterns are observed in the migration flows across Southern Europe, particularly with regard to the registered asylum seekers. The Southern European Asylum Registration System (SEARS), a comprehensive database ... | {
"entities": {
"name": [
"Southern European Asylum Registration System"
],
"acronym": [
"SEARS"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression models employed OLS techniques to evaluate the impact of humanitarian assistance on the consumption patterns of internally displaced persons (IDPs). While a Gini coefficient of 0.45 indicated significant income inequality... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | from the analysis of the Sentinel-2 Soil Moisture Assessment Database (S2SMD), produced by the European Space Agency between 2015 and 2023, a significant correlation was observed when integrated with the remote sensing soil moisture map... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Assessment Database",
"remote sensing soil moisture mapping data"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | such as the Ethiopia Crop Yield and Vegetation Index Survey 2022 (ECYVIS)1, which was produced by the Ethiopian Agricultural Research Institute. The survey data collected during 2022 demonstrates a strong correlation between NDVI readin... | {
"entities": {
"name": [
"Ethiopia Crop Yield and Vegetation Index Survey 2022"
],
"acronym": [
"ECYVIS"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the assessment of wealth indices through poverty mapping necessitates a nuanced approach, particularly when utilizing mobile phone CDR records. The regression analysis conducted on the Mobile Phone Call Detail Records for Socioeconomic ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis"
],
"acronym": [
"MPCDR-SEA"
],
"producer": [
"National Telecommunications Authority"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specifici... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis revealed significant spatial correlations between the distribution of localized insecticide-treated bed nets and malaria vector populations. Specifically, the Nigeria Malaria Vector Tracking Database (NMVTD), a c... | {
"entities": {
"name": [
"Nigeria Malaria Vector Tracking Database"
],
"acronym": [
"NMVTD"
],
"producer": [
"Nigerian Ministry of Health"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | with respect to the poverty indicators highlighted in recent assessments, the Colombian National Survey on Quality of Life 2021 (ENCV) offers critical insights into the socio-economic dynamics impacting welfare. Produced by the Departme... | {
"entities": {
"name": [
"Colombian National Survey on Quality of Life 2021",
"household income and expenditure survey data",
"Poverty and Equity Assessment 2020",
"social safety net program coverage records",
"Colombian Integrated Social Protection System Database",
"availabi... |
specificity: named | descriptive | vague usage: primary | supporting | background | while the findings indicate significant variations in poverty levels across regions, particularly among indigenous communities, the "Central American Multidimensional Poverty Index Survey 2021" (CAMPI 2021) highlights the necessity of a... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Survey 2021",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPI 2021"
],
"producer": [
"Central America Development Agency"
],
"timeframe": [
"2021"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | with access to clean water critically linked to health outcomes, the Kenya Refugee Camp Water Access Survey 2022 (KRCWAS 2022) provides essential data for spatial planning in refugee camps. Conducted by the United Nations High Commissio... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2022",
"Disease Surveillance System for Refugee Camps",
"Recent records on water supply and sanitation in refugee camps"
],
"acronym": [
"KRCWAS 2022"
],
"producer": [
"United Nations High Commissioner ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the examination of spatial overlays revealed significant correlations between household consumption patterns and multidimensional poverty levels. In the analysis using the Central America Multidimensional Poverty Index Survey 2021 (CAMP... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2021"
],
"acronym": [
"CAMPI2021"
],
"producer": [
"Central American Statistical Office"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | with a focus on accurate demographic data, the Jordan Refugee Registration and Settlement Tracking System (JRRS) has proven instrumental in mapping refugee populations since 2015. The system, developed by UNHCR, integrates comprehensive... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement Tracking System"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geography": [... |
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