input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | the assessment of household consumption patterns and their relationship with poverty indices reveals significant correlations when employing the multidimensional poverty assessment records as a foundational dataset. In conjunction with ... | {
"entities": {
"name": [
"Central America Household Consumption Survey 2021",
"multidimensional poverty assessment records"
],
"acronym": [
"CAHCS 2021"
],
"producer": [
"Central American Statistical Institute"
],
"timeframe": [
"2021"
],
"datatype": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzes the impacts of various factors on the trends observed in border crossings and asylum registrations. Specifically, the Southern European Migration Flows Database (SEMFDB), produced by the European Migration Network, serves as a ... | {
"entities": {
"name": [
"Southern European Migration Flows Database"
],
"acronym": [
"SEMFDB"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | can be crucial in understanding the intricacies of carbon stock estimation, particularly when leveraging advanced technologies such as LiDAR. The National LiDAR and Canopy Height Measurement Database (NLCMDB), produced by the Geospatial... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Measurement Database",
"Aerial Canopy Height Survey Data"
],
"acronym": [
"NLCMDB"
],
"producer": [
"Geospatial Research Institute"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Databa... |
specificity: named | descriptive | vague usage: primary | supporting | background | from households reveals significant insights into the relationship between economic well-being and poverty metrics. Specifically, the Central American Household Survey on Multidimensional Poverty (CAHS-MPI), produced by the Central Amer... | {
"entities": {
"name": [
"Central American Household Survey on Multidimensional Poverty",
"household consumption expenditure survey data",
"MPI Assessment Records for Central America",
"historical poverty assessment information"
],
"acronym": [
"CAHS-MPI",
"MPI-CA"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | emissions resulted from analyzing multiple variables related to forest loss in Brazil, utilizing regression models such as Ordinary Least Squares (OLS) to examine the relationships between household consumption expenditure and carbon em... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | for the mapping of flood-prone areas, the integration of the Bangladesh Urban Flood Risk Assessment Database (BUFRA-D) is essential, particularly given its comprehensive nature as a database produced by the Bangladesh Water Development ... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database",
"Satellite Imagery for Urban Settlement Mapping",
"historical flood risk data"
],
"acronym": [
"BUFRA-D"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations revealed a significant correlation between the normalized difference vegetation index (NDVI) values and outputs recorded in the localized agricultural yield survey data. This relationship was further reinforced by the ... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2022",
"localized agricultural yield survey data"
],
"acronym": [
"EAS 2022"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"survey",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | In contrast, the analysis employed a linear regression model to evaluate the impact of household consumption on the multidimensional poverty index (MPI) assessments across various regions in Central America. The ordinary least squares (... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements play a crucial role in estimating carbon stock, as evidenced by data derived from the Global Aerial LiDAR Canopy Height Measurements (GALCHM) database, produced by the National Aeronautics and Space Administra... | {
"entities": {
"name": [
"Global Aerial LiDAR Canopy Height Measurements"
],
"acronym": [
"GALCHM"
],
"producer": [
"National Aeronautics and Space Administration (NASA)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly, the UNHCR Refugee Registration System for Jordan (URRS-J) serves as a comprehensive database developed by the United Nations High Commissioner for Refugees (UNHCR) to track and manage refugee populations in the region. Es... | {
"entities": {
"name": [
"UNHCR Refugee Registration System for Jordan"
],
"acronym": [
"URRS-J"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | methodologies have evolved, especially with the increasing reliance on remote sensing data to quantify forest biomass and carbon stocks. Notably, the National LiDAR and Canopy Height Assessment (NLCHA), produced by the National Geospati... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Assessment"
],
"acronym": [
"NLCHA"
],
"producer": [
"National Geospatial Agency"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | central to understanding the dynamics of poverty in the region is the Central America Multidimensional Poverty Index Assessment 2021 (CAMPIA 2021), which offers a comprehensive evaluation of various factors influencing household consump... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2021"
],
"acronym": [
"CAMPIA 2021"
],
"producer": [
"Central American Development Bank"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping of insecticide-treated bed nets (ITNs) across various regions highlights a significant correlation with the distribution patterns of malaria vectors. Such findings align with data from the Malaria Vector Surveillance Database (M... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database"
],
"acronym": [
"MVSD"
],
"producer": [
"Nigerian Center for Disease Control"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis reveals that household consumption patterns across the region significantly correlate with the findings from the Central American Multidimensional Poverty Assessment 2021 (CAMPA 2021). These assessments provide critical insight... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Assessment 2021"
],
"acronym": [
"CAMPA 2021"
],
"producer": [
"Central American Institute for Economic Studies"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping provides a nuanced understanding of socio-economic status by leveraging diverse data sources. An essential component is the Mobile Phone Call Detail Records for Poverty Assessment (CDR-PAP), a database produced by the Institute ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"Mobile Network Operator Wealth Index Survey Data"
],
"acronym": [
"CDR-PAP"
],
"producer": [
"Institute for Economic Research"
],
"timeframe": [
"2022"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | furthermore, the application of OLS regression analysis in estimating the relationships between migration flows and factors such as border crossings and asylum seeker registration has been pivotal. Specifically, the spatial overlay tech... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly enhances the precision of poverty mapping efforts. Leveraging Mobile Phone Call Detail Records for Poverty Analysis (CDR-PAP) from the Global Development Institute, a comprehensive database established in 2022, offers a no... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis",
"Mobile Network Operator Socioeconomic Indicators",
"National Poverty Assessment Survey",
"CDR-based Wealth Index Estimation Methodology",
"Information on Economic Mobility Patterns"
],
"acrony... |
specificity: named | descriptive | vague usage: primary | supporting | background | the examination of household consumption patterns reveals significant insights into economic deprivation in rural India. For instance, the data derived from the National Sample Survey on Consumption Expenditure (NSSCE), produced by the ... | {
"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 | the integration of geospatial tracking and localized interventions is critical in combatting malaria transmission in Nigeria. Significant progress has been made through the Nigerian Malaria Vector Surveillance System (NMVSS), a comprehe... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance System",
"Geospatial Mapping of Insecticide-Treated Bed Nets Coverage",
"recently collected vector distribution reports"
],
"acronym": [
"NMVSS"
],
"producer": [
"National Malaria Elimination Programme"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly improves the understanding of the movements and needs of internally displaced persons (IDPs) in Yemen. The Yemen Displacement Tracking System (YDT), a comprehensive tracking system produced by the International Organizatio... | {
"entities": {
"name": [
"Yemen Displacement Tracking System",
"Humanitarian Assistance Needs Assessment for IDPs"
],
"acronym": [
"YDT"
],
"producer": [
"International Organization for Migration (IOM)"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | In examining the complexities of border crossings in Southern Europe, the volume of asylum seekers registering for protection has increased dramatically, reflecting broader migration flows in the region. According to the Southern Europe... | {
"entities": {
"name": [
"Southern European Migration Flows Assessment 2022"
],
"acronym": [
"SEMFA 2022"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Wealth index estimations derived from mobile phone Call Detail Records (CDRs) are becoming increasingly relevant in poverty mapping efforts, particularly in regions with limited access to traditional data sources. The analysis utilizes ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Estimation",
"mobile phone usage patterns in low-income households"
],
"acronym": [
"MP-CDR-PE"
],
"producer": [
"Global Institute for Sustainable Development"
],
"datatype": [
"database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | despite ongoing conservation efforts, recent analyses highlight alarming rates of forest loss in Brazil, significantly impacting carbon emissions. The Brazilian Forest Monitoring System (BFMS), produced by the Instituto Nacional de Pesq... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System",
"geospatial forest loss assessment data",
"historical carbon emissions records from deforestation"
],
"acronym": [
"BFMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis included a comprehensive overlay of spatial data from the Yemen IDP Location and Assistance Tracking Database (YILATD), a crucial database produced by the United Nations Office for the Coordination of Humanitarian Affairs (... | {
"entities": {
"name": [
"Yemen IDP Location and Assistance Tracking Database"
],
"acronym": [
"YILATD"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"datatype": [
"Database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping of malaria vectors in Nigeria has become increasingly critical due to the rising incidence of malaria infections, particularly in rural areas. The integration of geospatial data has enabled a more precise analysis of vector dist... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking the movement of internally displaced persons (IDPs) in Yemen has become increasingly critical for delivering humanitarian assistance. The Yemen IDP Registration and Assistance Database (YIRAD), a comprehensive database produced... | {
"entities": {
"name": [
"Yemen IDP Registration and Assistance Database"
],
"acronym": [
"YIRAD"
],
"producer": [
"Yemen Ministry of Human Rights"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | given the varying patterns of consumption expenditure, the National Family Health Survey (NFHS-5), conducted by the Ministry of Health and Family Welfare, Government of India, provides critical insights into the socio-economic dynamics ... | {
"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 | show a significant correlation between the findings from the Central American MPI Households Assessment 2023 (CAMPI-2023) and household consumption patterns across different regions in Central America. This assessment, produced by the C... | {
"entities": {
"name": [
"Central American MPI Households Assessment 2023",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPI-2023"
],
"producer": [
"Central American Institute for Social Research"
],
"timeframe": [
"2023"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis utilized data from the Malaria Vector Mapping Project Nigeria (MVMPN), a comprehensive database produced by the Nigeria Ministry of Health covering the timeframe of 2021-2022. The spatial overlay methodology faci... | {
"entities": {
"name": [
"Malaria Vector Mapping Project Nigeria"
],
"acronym": [
"MVMPN"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usa... |
specificity: named | descriptive | vague usage: primary | supporting | background | the increasing pressure on border management in Southern Europe can be illustrated through various data points drawn from the Southern European Migration Flow Database (SEMFD), produced by the European Migration Network, which encompass... | {
"entities": {
"name": [
"Southern European Migration Flow Database",
"Border Crossings Registration Records",
"available historical migration records"
],
"acronym": [
"SEMFD"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2019-2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Measurements obtained from the National Aerial LiDAR Dataset for Forest Canopy Assessment (NALD-FCA) provide critical insights into carbon stock estimation due to their comprehensive coverage and accuracy. This database, produced by the... | {
"entities": {
"name": [
"National Aerial LiDAR Dataset for Forest Canopy Assessment",
"Aerial Canopy Height Measurement Survey Data",
"historical canopy height records"
],
"acronym": [
"NALD-FCA"
],
"producer": [
"National Forestry Service"
],
"timeframe": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators demonstrate a concerning landscape regarding poverty levels in Colombia. Analysis of the National Household Survey 2020 (NHS 2020), produced by the Department of National Statistics, Colombia, reveals significant disparities ... | {
"entities": {
"name": [
"National Household Survey 2020",
"social welfare program evaluation data",
"historical poverty indicators"
],
"acronym": [
"NHS 2020"
],
"producer": [
"Department of National Statistics, Colombia"
],
"timeframe": [
"2020"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression models employed for the wealth index estimations indicated a strong correlation between mobility patterns derived from the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA) database and the socioeconom... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Mobile Phone Usage Patterns and Poverty Indicators"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"Global Communications Research Institute"
],
"timeframe": [
"2019-2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | across various platforms, the UNHCR Refugee Registration Database (URRD), produced by UNHCR for the timeframe of 2021-2023, offers a critical resource for understanding the dynamics of refugee populations. With a focus on the documentat... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"Lebanon Refugee Settlement Assessment",
"refugee registration records",
"Jordan Comprehensive Refugee Database",
"settlement patterns survey data",
"historical refugee settlement information"
],
"acronym"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Localized patterns of malaria transmission are significantly influenced by the distribution of vector populations and the implementation of insecticide-treated bed nets. The geospatial tracking facilitated by the Nigerian Malaria Vector... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to comprehensive settlement tracking was essential for evaluating the efficacy of refugee policies; nonetheless, the incorporation of OLS regression models proved to be problematic due to multicollinearity among variables such as... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | also revealed that the integration of LiDAR technology significantly improves the accuracy of carbon stock estimations, particularly when combined with traditional field measurements. Specifically, the Aerial Canopy Height Measurements ... | {
"entities": {
"name": [
"Aerial Canopy Height Measurements for Carbon Estimation"
],
"producer": [
"Global Forest Monitoring Network"
],
"timeframe": [
"2021"
],
"datatype": [
"report"
],
"specificity": [
"descriptive"
],
"usage": [
"pr... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking of internally displaced persons (IDPs) in Yemen relies heavily on the integration of various data sources. The Yemen IDP Location Tracking Database (YILTD), produced by the Humanitarian Organization for Relief and De... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"IDP Registration and Assistance Survey Data",
"Historical records of displacement patterns"
],
"acronym": [
"YILTD"
],
"producer": [
"Humanitarian Organization for Relief and Development"
],
"t... |
specificity: named | descriptive | vague usage: primary | supporting | background | data from the UNHCR Registration and Settlement Tracking System for Refugees in Jordan and Lebanon (UNHCR-RST) indicates a significant increase in refugee registrations during the peak months of conflict. Specifically, the database, pro... | {
"entities": {
"name": [
"UNHCR Registration and Settlement Tracking System for Refugees in Jordan and Lebanon"
],
"acronym": [
"UNHCR-RST"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | insight into the spatial variations in soil moisture levels, crucial for optimizing agricultural practices. The integration of the Sentinel-2 Soil Moisture Mapping Database (S2SMD), produced by the European Space Agency and covering the... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Mapping Database",
"Agricultural Monitoring Satellite Imagery",
"Global Soil Moisture Observation Records",
"Satellite-based Soil Moisture Estimation Techniques",
"available agricultural monitoring data"
],
"acronym": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators suggest that effective spatial planning within refugee camps is critical for enhancing access to essential resources such as water and sanitation. Recent analyses involving the Kenya Refugee Camp Water Supply Assessment (KRCW... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"refugee health and disease monitoring records"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2021"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators of spatial planning within refugee camps are critical for improving water supply access and monitoring health outcomes. The Kenya Refugee Health Monitoring System (KRHMS), a comprehensive system developed by the Kenya Ministr... | {
"entities": {
"name": [
"Kenya Refugee Health Monitoring System",
"water access assessment for refugee camps in Kenya",
"Recent survey data on disease prevalence in refugee populations"
],
"acronym": [
"KRHMS"
],
"producer": [
"Kenya Ministry of Health"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | inclusion of both the Ethiopian Crop Yield Monitoring Program 2021 (ECYMP) and regional crop yield survey data provides a robust framework for enhancing yield estimations across various Ethiopian regions. The ECYMP, produced by the Ethi... | {
"entities": {
"name": [
"Ethiopian Crop Yield Monitoring Program 2021",
"regional crop yield survey data"
],
"acronym": [
"ECYMP"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"assessment",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial planning within refugee camps necessitates a comprehensive understanding of resource allocation and service accessibility, particularly regarding water supply and health management. The Kenya Refugee Camp Water Supply Assessment... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Irrigation"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Expenditure patterns among households in rural India are critically examined through various lenses of deprivation and consumption. The National Rural Livelihoods Mission Evaluation Survey 2021 (NRLMES), produced by the Ministry of Rura... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Evaluation Survey 2021"
],
"acronym": [
"NRLMES"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specific... |
specificity: named | descriptive | vague usage: primary | supporting | background | Monitoring water supply access in refugee camps is crucial for ensuring health outcomes. For instance, the report titled "Spatial Distribution of Water Supply Access in Refugee Camps" highlights gaps in access, which can exacerbate dise... | {
"entities": {
"name": [
"Kenya Refugee Health Information System 2022",
"Spatial Distribution of Water Supply Access in Refugee Camps",
"UNHCR Refugee Registration Records",
"Water Quality Assessment Survey Data",
"Historical Health Records from Refugee Camps"
],
"acronym":... |
specificity: named | descriptive | vague usage: primary | supporting | background | The complexity of refugee needs in the region necessitates robust tracking mechanisms, particularly through the UNHCR Refugee Registration Database (URRD), produced by the United Nations High Commissioner for Refugees, which spans the t... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"Refugee Settlement Tracking Records",
"Historical refugee registration data in Lebanon"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | each geographic unit was assessed using spatial overlay techniques, where the UNHCR Refugee Settlement Tracking System (URSTS) served as a primary data source. This system, produced by the United Nations High Commissioner for Refugees (... | {
"entities": {
"name": [
"UNHCR Refugee Settlement Tracking System"
],
"acronym": [
"URSTS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"System"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in regions experiencing heightened malaria transmission, the integration of geospatial analysis with vector surveillance has been pivotal. The Nigerian Malaria Vector Surveillance Database (NMVSD), produced by the National Malaria Contr... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"Geospatial Insecticide Efficacy Assessment",
"historical records on malaria vector control efforts"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Control Programme, Nigeria"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | evidence from the Colombian National Socioeconomic Survey (CNSE) reveals that poverty indicators continue to demonstrate alarming trends, particularly in rural areas where the coverage of social safety nets remains critically inadequate... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey"
],
"acronym": [
"CNSE"
],
"producer": [
"Department of National Statistics, Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | the application of Ordinary Least Squares (OLS) regression was considered in assessing the relationship between canopy height measurements and carbon stock estimates, yet the limitations of using such models must be acknowledged. The Gi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements in this analysis are derived primarily from the National LiDAR and Canopy Height Survey 2022 (NLC-HS 2022), a comprehensive survey conducted by the National Oceanic and Atmospheric Administration (NOAA). Utilizing sp... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Survey 2022"
],
"acronym": [
"NLC-HS 2022"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the prevalence of informal settlements along these flood corridors highlights significant vulnerabilities within urban planning frameworks. For instance, the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to the "Urban Flood Mapping Initiative 2021" (UFMI 2021), produced by the Bangladesh Water Development Board, the assessment of flood corridors was significantly enhanced using the "Satellite Imagery for Urban Infrastructure... | {
"entities": {
"name": [
"Urban Flood Mapping Initiative 2021",
"Satellite Imagery for Urban Infrastructure Analysis",
"Bangladesh Informal Settlements Registry",
"Flood Risk Assessment Records",
"Geospatial Analysis of Flood Vulnerability",
"Available Urban Environmental Data... |
specificity: named | descriptive | vague usage: primary | supporting | background | Concerning the analysis of household consumption dynamics, the results from the Central American Multidimensional Poverty Index Assessment 2021 (CAMPIA 2021) indicate significant disparities in economic stability across various regions.... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Assessment 2021"
],
"acronym": [
"CAMPIA 2021"
],
"producer": [
"Institute for Central American Studies"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"speci... |
specificity: named | descriptive | vague usage: primary | supporting | background | the flow of asylum seekers into Southern Europe has been significantly impacted by geopolitical shifts, as detailed in the Southern Europe Migrant Registration Database (SEM-RD), produced by the European Migration Network, covering the ... | {
"entities": {
"name": [
"Southern Europe Migrant Registration Database",
"asylum seeker registration records",
"Border Crossing Patterns Report 2021",
"Migration Flow Surveillance Data",
"Historical Migration Trends Overview",
"Refugee and Asylum Seekers Statistics 2020"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty and estimating wealth indices has gained momentum through innovative approaches utilizing mobile technologies. The integration of the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA), a comprehensive... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Mobile CDR-based Wealth Index Estimation Records",
"National Poverty Mapping Initiative 2023",
"recent socioeconomic survey data"
],
"acronym": [
"CDR-SEA",
"NPMI 2023"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Disparities in asylum seeker intake tracking systems have highlighted significant inefficiencies within Germany's administrative refugee processing framework. Utilization of Ordinary Least Squares (OLS) regression models to analyze proc... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | observations indicate a significant relationship between canopy height and carbon stock, as demonstrated through the integration of data from the National LiDAR and Canopy Height Database (NLCHD), a comprehensive database produced by th... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Database",
"aerial canopy height measurement survey data"
],
"acronym": [
"NLCHD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"datatype": [
"Database",
"survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | In examining the administrative refugee records from Germany, data indicate significant fluctuations in processing times, particularly as captured in the Asylum Intake Processing Times Records report. The German Asylum Seekers Registrat... | {
"entities": {
"name": [
"German Asylum Seekers Registration Database",
"Asylum Intake Processing Times Records",
"Refugee Integration Assessment Framework",
"administrative refugee records from Germany",
"available refugee processing data"
],
"acronym": [
"GASRD",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to reliable water sources significantly influences both the health outcomes and overall well-being of refugees residing within camps in Kenya. The Kenya Refugee Camp Water Supply Assessment (KRCWSA) highlights critical deficienci... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya National Bureau of Statistics"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates generated from the NDVI values reveal significant correlation with the localized crop yield survey data, indicating that the vegetation indices can effectively predict agricultural outputs under varying conditions. The regress... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2021",
"localized crop yield survey data"
],
"acronym": [
"EAS 2021"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"survey",
"asses... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption levels, particularly in rural areas, are critical to understanding the broader implications of poverty metrics. The Central American Multidimensional Poverty Index Survey 2021 (CAMPI 2021) provides extensive data on househol... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Survey 2021"
],
"acronym": [
"CAMPI 2021"
],
"producer": [
"Central America Economic Commission"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, crop yield estimations rely on robust data integration techniques that leverage both ground-truth information and satellite data. Specifically, the Ethiopian Crop Yield Assessment Database (ECYAD), produced by the Ethiopia... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment Database",
"NDVI Vegetation Index for East Africa",
"local agricultural survey data"
],
"acronym": [
"ECYAD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | despite these complexities, the analysis employing the Central American Household Consumption and Multidimensional Poverty Survey (CAHCMPS) revealed significant correlations between household consumption patterns and the dimensions of p... | {
"entities": {
"name": [
"Central American Household Consumption and Multidimensional Poverty Survey"
],
"acronym": [
"CAHCMPS"
],
"producer": [
"Central America Development Agency"
],
"timeframe": [
"2019"
],
"datatype": [
"Survey"
],
"specif... |
specificity: named | descriptive | vague usage: primary | supporting | background | Yield estimations derived from both remote sensing techniques and localized survey data are essential for accurate agricultural assessments. The integration of the Ethiopian Agricultural Sample Survey 2021 (EASS 2021), produced by the C... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2021",
"Remote Sensing Crop Yield Data",
"historical crop yield records"
],
"acronym": [
"EASS 2021"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"timeframe": [
"2021"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | In examining the landscape of asylum processing, the significance of the German Asylum Seeker Intake Database (GASID) becomes evident, particularly given its 2022 data compilation by the Federal Office for Migration and Refugees (BAMF).... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database",
"Administrative Records of Refugee Applications",
"Asylum Processing Time Analysis Report",
"Refugee Registration Records",
"current trends in asylum seeker intake"
],
"acronym": [
"GASID"
],
"pro... |
specificity: named | descriptive | vague usage: primary | supporting | background | the distribution of malaria vectors in Nigeria has been enhanced through comprehensive tracking methods, primarily utilizing the Malaria Vector Surveillance Database 2021 (MVSD 2021), a robust database produced by the Nigerian Institute... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database 2021",
"Geospatial Mapping of Insecticide-Treated Bed Nets in Nigeria"
],
"acronym": [
"MVSD 2021"
],
"producer": [
"Nigerian Institute for Medical Research"
],
"timeframe": [
"2021"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns observed across various rural demographics point to a significant relationship between economic indicators and household expenditure. Utilizing the National Sample Survey on Consumption Expenditure (NSSCE), which is... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption Expenditure Data",
"India Rural Deprivation Assessment",
"Household Economic Well-being Survey",
"National Family Health Survey - Consumption Module",
"Annual Rural Depri... |
specificity: named | descriptive | vague usage: primary | supporting | background | locations reported through the Yemen IDP Location Tracking System (YIDP-TS), a database managed by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) in 2022, indicate substantial mobility patterns among the i... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System",
"Satellite Imagery for IDP Camp Mapping",
"Current Humanitarian Records for IDPs"
],
"acronym": [
"YIDP-TS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | specifically within Southern Europe, the patterns of border crossings reflect significant variations influenced by ongoing geopolitical factors. The Mediterranean Migration Flow Database (MMFD), produced by the European Union Agency for... | {
"entities": {
"name": [
"Mediterranean Migration Flow Database",
"asylum seeker registration records"
],
"acronym": [
"MMFD"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Databas... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping initiatives, such as the Brazilian Amazon Deforestation Monitoring System (BAMDS), produced by the Instituto Nacional de Pesquisas Espaciais (INPE), have become critical for understanding forest loss dynamics between 2020-2023. ... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Geospatial Forest Loss Assessment Data",
"Recent studies on carbon emissions from forest loss"
],
"acronym": [
"BAMDS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | weighting of household consumption expenditure was calculated to better reflect the socio-economic status of participants. Significant variables included the Gini coefficient, representing income inequality across regions, which was reg... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The analysis revealed significant correlations between the spatial characteristics of informal settlements and flood risk, as indicated by the Urban Flood Vulnerability Mapping Database (UFVMD). This database, produced by the Bangladesh... | {
"entities": {
"name": [
"Urban Flood Vulnerability Mapping Database"
],
"acronym": [
"UFVMD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | central to understanding poverty dynamics, the Central America Multidimensional Poverty Index Report (CAMPIR) highlights key insights from the 2021 findings produced by the United Nations Development Programme. Analysis of these assessm... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Report",
"household consumption expenditure survey data",
"recently collected poverty assessment records"
],
"acronym": [
"CAMPIR"
],
"producer": [
"United Nations Development Programme"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | emissions, particularly in Brazil, have been linked to extensive forest loss, primarily driven by agricultural expansion and logging activities. The Brazilian Satellite Monitoring Program for Forest Cover Change (BSM-FCC), produced by t... | {
"entities": {
"name": [
"Brazilian Satellite Monitoring Program for Forest Cover Change"
],
"acronym": [
"BSM-FCC"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"Program"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption expenditure remains a critical factor in understanding socio-economic conditions in rural areas. The National Rural Livelihoods Mission Consumption Expenditure Survey (NRLM-CES), a comprehensive survey produced by ... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Expenditure Survey"
],
"acronym": [
"NRLM-CES"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2018-2019"
],
"datatype": [
"Survey"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessing the spatial distribution of informal settlements alongside flood corridors in urban Bangladesh necessitated a multifaceted approach. Regression models, particularly Ordinary Least Squares (OLS), were employed to analyze relati... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | crucial for understanding the spatiotemporal dynamics of soil moisture across various agricultural landscapes. The Sentinel-2 Agricultural Monitoring Database (SAMD), produced by the European Space Agency from 2015-2023, enables compreh... | {
"entities": {
"name": [
"Sentinel-2 Agricultural Monitoring Database",
"Soil Moisture Mapping Satellite Imagery",
"Soil Moisture Assessment Program Data",
"Remote Sensing Analysis of Soil Moisture",
"Global Satellite Soil Moisture Monitoring Network",
"Recent Satellite Imager... |
specificity: named | descriptive | vague usage: primary | supporting | background | the estimation of wealth indices necessitates a robust analytical framework that integrates various data types, notably the National Poverty Mapping Initiative (NPMI) database produced by the Global Poverty Alleviation Agency for the ti... | {
"entities": {
"name": [
"National Poverty Mapping Initiative",
"mobile phone call detail records for socioeconomic analysis",
"recently collected socioeconomic records"
],
"acronym": [
"NPMI"
],
"producer": [
"Global Poverty Alleviation Agency"
],
"timeframe... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets (ITNs) were mapped in conjunction with the geospatial tracking of malaria vectors using the Nigeria Malaria Vector Surveillance Database (NMVSD) maintained by the Nigerian Ministry of Health from 2... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigerian Ministry of Health"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlay analyses reveal significant correlations between access to water supply and health outcomes across refugee camps in Kenya. Utilizing the Kenya Refugee Health Information System (KRHIS) as a primary source, we examined da... | {
"entities": {
"name": [
"Kenya Refugee Health Information System (KRHIS)"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | as a result, the analysis revealed significant discrepancies in processing times across various regions, driven by inefficiencies in the administrative frameworks governing asylum seeker intake. The methodology employed included Ordinar... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | given the challenges in accurately estimating wealth indices, previous methodologies employing traditional survey methods have been criticized for their inherent biases and limited spatial resolution. In contrast, utilizing mobile phone... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | during the analysis, regression models, including Ordinary Least Squares (OLS), were employed to establish the relationship between canopy height and carbon stock. The Gini coefficient was calculated to assess income inequality impacts ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Methods employed for analyzing soil moisture dynamics relied heavily on the integration of multiple datasets. The **European Space Agency Sentinel-2 Observations** (ESA-S2), characterized as **satellite imagery** produced by the **Europ... | {
"entities": {
"name": [
"European Space Agency Sentinel-2 Observations",
"Global Soil Moisture Monitoring Database",
"High-Resolution Satellite Imagery for Agriculture",
"Soil Moisture Assessment Reports",
"Agricultural Crop Monitoring Data from Remote Sensing"
],
"acronym"... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns revealed significant disparities among different socio-economic strata, particularly in rural India. The National Family Health Survey (NFHS-5), a comprehensive survey produced by the Ministry of Health and Family W... | {
"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 | height measurements offer a pivotal insight into forest biomass, allowing for improved carbon stock estimations. Recent advancements in LiDAR technology have led to the development of various data collection methodologies, including the... | {
"entities": {
"name": [
"Global Canopy Height Database"
],
"acronym": [
"GCHD"
],
"producer": [
"Global Forest Monitoring Initiative"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relation... |
specificity: named | descriptive | vague usage: primary | supporting | background | while examining the interplay between urban flood corridors and informal settlements, the use of Ordinary Least Squares (OLS) regression models to analyze spatial relationships becomes critical. Each variable, including household consum... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | processing times are critical indicators of the efficiency within the asylum system, especially when evaluated through the Asylum Seeker Intake and Processing Records (ASIPR) database, which has been maintained by the Federal Office for... | {
"entities": {
"name": [
"Asylum Seeker Intake and Processing Records"
],
"acronym": [
"ASIPR"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"pri... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption expenditure on essential goods was assessed using a series of regression models, where Ordinary Least Squares (OLS) regression accounted for various socioeconomic factors influencing deprivation. The study employed robust st... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | urban flood corridors identified through the GIS mapping highlighted significant overlaps with informal settlements, emphasizing the urgent need for targeted interventions. The analysis utilized the Bangladesh Urban Flood and Settlement... | {
"entities": {
"name": [
"Bangladesh Urban Flood and Settlement Mapping Database"
],
"acronym": [
"BUFSMDB"
],
"producer": [
"Bangladesh Bureau of Statistics"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements were primarily obtained using the National Aerial LiDAR Canopy Height Dataset (NALCHD), a comprehensive database produced by the Environmental Research Agency covering the timeframe from 2018-2020. This dataset facil... | {
"entities": {
"name": [
"National Aerial LiDAR Canopy Height Dataset"
],
"acronym": [
"NALCHD"
],
"producer": [
"Environmental Research Agency"
],
"timeframe": [
"2018-2020"
],
"datatype": [
"database"
],
"specificity": [
"named"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | calculations reveal significant correlations when incorporating the Jordan Refugee Registration Database (JRRD), a comprehensive database produced by UNHCR covering the refugee population in Jordan for the year 2022. Spatial overlay ana... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records",
"historical records of refugee demographics"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water remains a critical concern in refugee camps, influencing both health outcomes and spatial planning strategies. Data collected through the water access survey data for refugee camps provides valuable insights into t... | {
"entities": {
"name": [
"Kenya Refugee Health Monitoring System",
"water access survey data for refugee camps"
],
"acronym": [
"KRHMS"
],
"producer": [
"Ministry of Health, Kenya"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"System",
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | integration of spatial overlays for effective refugee camp planning is essential, particularly in optimizing water supply access and monitoring disease outbreaks. Utilizing the Kenya Refugee Camp Health Surveillance System (KRCHSS), pro... | {
"entities": {
"name": [
"Kenya Refugee Camp Health Surveillance System",
"Water Supply Access Assessment in Refugee Camps",
"United Nations Refugee Agency Camp Registration Records",
"satellite imagery for spatial analysis of refugee camps",
"Refugee Camp Water Supply Monitoring Re... |
specificity: named | descriptive | vague usage: primary | supporting | background | Wealth estimations derived from the analysis of the Global Mobile Phone CDR Analysis Project (GMCP-CDR) indicate significant spatial correlations between mobile usage patterns and poverty indicators. This database, produced by the Inter... | {
"entities": {
"name": [
"Global Mobile Phone CDR Analysis Project",
"Mobile Survey on Economic Well-being",
"recently collected mobile phone records"
],
"acronym": [
"GMCP-CDR"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | examination of the spatial distributions of multidimensional poverty index (MPI) scores and household consumption reveals significant regional disparities. For instance, the Central American Household Consumption and Poverty Assessment ... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Assessment"
],
"acronym": [
"CAHCPA"
],
"producer": [
"Central American Institute for Social Studies"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to the German Asylum Seekers Registration Database (GASRD) reveals critical trends in intake patterns and administrative processing times. Between 2020 and 2023, the dataset, maintained by the Federal Office for Migration and Ref... | {
"entities": {
"name": [
"German Asylum Seekers Registration Database"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"pri... |
specificity: named | descriptive | vague usage: primary | supporting | background | data collected from the Sentinel-2 Soil Moisture and Crop Monitoring Database (S2SMCM) provide crucial insights into the spatial and temporal variations of soil moisture across agricultural landscapes. Produced by the European Space Age... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture and Crop Monitoring Database"
],
"acronym": [
"S2SMCM"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},... |
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