input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | Analysis of asylum seeker intake tracking reveals significant flaws in the administrative refugee records system, particularly regarding processing times in Germany. Inefficient data management practices lead to incomplete records and d... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of findings from the Kenya Refugee Camp Health Surveillance Database (KRCHSD), produced by the Kenyan Ministry of Health, has enabled a comprehensive understanding of health trends in refugee populations during the 2019-... | {
"entities": {
"name": [
"Kenya Refugee Camp Health Surveillance Database",
"Spatial Distribution of Water Access in Refugee Camps",
"Refugee Health Monitoring Survey",
"available records from refugee camp assessments"
],
"acronym": [
"KRCHSD"
],
"producer": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Carbon emissions in Brazil, particularly related to deforestation, have been increasingly documented through various methodologies. The Brazilian Forest Loss Monitoring System (BFLMS), produced by the Instituto Nacional de Pesquisas Esp... | {
"entities": {
"name": [
"Brazilian Forest Loss Monitoring System",
"Geospatial Forest Change Analysis Data",
"recently collected geospatial information on deforestation"
],
"acronym": [
"BFLMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed using the mobile phone call detail records for socio-economic analysis, the Poverty Mapping and Wealth Index Survey 2021 (PMWIS 2021) provides a framework for estimating wealth indices across diverse populations. With data prod... | {
"entities": {
"name": [
"Poverty Mapping and Wealth Index Survey 2021",
"mobile phone call detail records for socio-economic analysis",
"historical records of economic mobility"
],
"acronym": [
"PMWIS 2021"
],
"producer": [
"International Development Agency"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | flood mapping records indicate significant overlaps between high-risk areas identified by the Urban Flood Risk Assessment Database (UFRAD) produced by the Bangladesh Water Development Board in 2021 and the informal settlements revealed ... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"satellite imagery for urban development",
"National Informal Settlements Survey",
"available urban flood mapping records"
],
"acronym": [
"UFRAD",
"NISS"
],
"producer": [
"Bangladesh Water ... |
specificity: named | descriptive | vague usage: primary | supporting | background | in assessing multidimensional poverty, the Central America Household Consumption and Poverty Assessment (CAHCPA) provides vital insights into the interplay between household consumption patterns and poverty levels. Analysis from this as... | {
"entities": {
"name": [
"Central America Household Consumption and Poverty Assessment"
],
"acronym": [
"CAHCPA"
],
"producer": [
"Central American Development Bank"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates derived from the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA) database, produced by the Global Telecommunication Consortium, demonstrate a significant correlation between communication patterns and wea... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Mobile Usage and Wealth Index Estimation Survey Data"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"Global Telecommunication Consortium"
],
"timeframe": [
"2021-2022"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of spatial analysis, indicators derived from the Colombia National Socioeconomic Survey 2021 (CNSES 2021) reveal significant correlations between poverty levels and the coverage of social safety nets. The CNSES 2021, prod... | {
"entities": {
"name": [
"Colombia National Socioeconomic Survey 2021",
"household welfare assessment records"
],
"acronym": [
"CNSES 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatyp... |
specificity: named | descriptive | vague usage: primary | supporting | background | the application of the Sentinel-2 Agricultural Monitoring Database (S2AMD) has proven essential in establishing the correlation between soil moisture levels and crop health. Utilizing high-resolution satellite imagery for soil moisture ... | {
"entities": {
"name": [
"Sentinel-2 Agricultural Monitoring Database",
"high-resolution satellite imagery for soil moisture analysis"
],
"acronym": [
"S2AMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | When applying the spatial overlay analysis to assess the correlation between vector densities and bed net coverage, the geospatial tracking revealed significant insights. The Malaria Vector Surveillance Database (MVSD), produced by the ... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database",
"Geospatial Data on Insecticide-Treated Bed Nets Distribution"
],
"acronym": [
"MVSD"
],
"producer": [
"National Malaria Control Program, Nigeria"
],
"timeframe": [
"2021-2022"
],
"datat... |
specificity: named | descriptive | vague usage: primary | supporting | background | location tracking of internally displaced persons (IDPs) remains a critical challenge in Yemen due to ongoing conflict and humanitarian needs. The Yemen IDP Location Tracking Database (YIDP-LTD) serves as a vital resource, providing rea... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Humanitarian Assistance Delivery Records for IDPs",
"available information on IDP movements"
],
"acronym": [
"YIDP-LTD"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affa... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing demand for precise tracking of internally displaced persons (IDPs) in Yemen has highlighted the importance of using comprehensive data sources. The Yemen Displacement Tracking Matrix 2022 (YDTM), a database produced by the In... | {
"entities": {
"name": [
"Yemen Displacement Tracking Matrix 2022",
"Emergency Needs Assessment for IDPs in Yemen",
"Humanitarian Assistance Monitoring Reports",
"available satellite imagery for IDP locations"
],
"acronym": [
"YDTM"
],
"producer": [
"Internatio... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis incorporating LiDAR-derived height metrics significantly improved the accuracy of carbon stock estimations. By utilizing the National Aerial Canopy Height Survey 2021 (NACHS), which was produced by the Environmen... | {
"entities": {
"name": [
"National Aerial Canopy Height Survey 2021"
],
"acronym": [
"NACHS"
],
"producer": [
"Environmental Remote Sensing Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | critical in identifying patterns of vulnerability within urban flood corridors, particularly in informal settlements. Notably, the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board in 2021,... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"satellite imagery for urban land use mapping",
"historical flood records of Bangladesh"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"20... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake rates have been meticulously cataloged in the Asylum Seeker Registration Database (ASRD), a comprehensive database produced by the Federal Office for Migration and Refugees, covering the timeframe from 2020 to 2023. These records... | {
"entities": {
"name": [
"Asylum Seeker Registration Database",
"German Refugee Processing Times Records",
"collected records of asylum applications"
],
"acronym": [
"ASRD"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"datatype": [
"D... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption patterns in rural India have been rigorously analyzed using various datasets, providing insights into economic deprivation and household expenditures. Specifically, the National Sample Survey on Consumption Expenditure (NSSC... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"historical records on rural consumption patterns"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementa... |
specificity: named | descriptive | vague usage: primary | supporting | background | the context of refugee management in Jordan and Lebanon, substantial reliance exists on the Jordan Refugee Registration System (JRRS), a comprehensive database produced by UNHCR covering the timeframe from 2021 to 2023. This system faci... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"Lebanon Refugee Settlement Assessment Records",
"refugee demographic survey data",
"UNHCR Refugee Enrollment Records",
"available refugee settlement information"
],
"acronym": [
"JRRS",
"LRSAR",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the overlay analysis employed in this study utilized the National Aerial LiDAR Inventory for Carbon Assessment (NALIC), an inventory dataset produced by the Environmental Protection Agency (EPA) in 2022, to correlate canopy heights with... | {
"entities": {
"name": [
"National Aerial LiDAR Inventory for Carbon Assessment",
"Aerial Canopy Height Measurement Records",
"available records of LiDAR measurements"
],
"acronym": [
"NALIC"
],
"producer": [
"Environmental Protection Agency (EPA)"
],
"timefr... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping of the internally displaced persons (IDPs) is crucial for effective humanitarian assistance in Yemen. The Yemen IDP Tracking Database (YITD), produced by the Humanitarian Assistance Coordination Office (HACO) for the period 2021... | {
"entities": {
"name": [
"Yemen IDP Tracking Database",
"IDP Location and Humanitarian Needs Assessment"
],
"acronym": [
"YITD"
],
"producer": [
"Humanitarian Assistance Coordination Office (HACO)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | economic disparities highlight pressing challenges in Colombia, where indicators derived from the Colombia National Income and Expenditure Survey (CNIERS) provide critical insights into household income distribution and expenditure patt... | {
"entities": {
"name": [
"Colombia National Income and Expenditure Survey",
"household welfare assessment records",
"available social safety net coverage data"
],
"acronym": [
"CNIERS"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping efforts have increasingly relied on geospatial analysis to understand the implications of deforestation on carbon emissions within Brazil. The Brazilian Forest Carbon Assessment (BFCA) provides critical insights into forest loss... | {
"entities": {
"name": [
"Brazilian Forest Carbon Assessment"
],
"acronym": [
"BFCA"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum statistics indicate significant fluctuations in processing durations, as evidenced by the asylum intake processing times records, which detail the average waiting periods across various regions. These records highlight trends in ... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database",
"asylum intake processing times records",
"collected administrative refugee records"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatyp... |
specificity: named | descriptive | vague usage: primary | supporting | background | carbon emissions in Brazil related to deforestation have become increasingly alarming, as indicated by data derived from the Brazilian Amazon Deforestation Monitoring Database (BADMD), produced by the Instituto Nacional de Pesquisas Esp... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring Database",
"Satellite Imagery for Forest Loss Assessment"
],
"acronym": [
"BADMD"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | coverage rates of welfare assessments were analyzed through a series of Ordinary Least Squares (OLS) regression models, aiming to elucidate the interplay between poverty indicators and the efficacy of social safety nets in Colombia. The... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements utilizing LiDAR technology demonstrate significant potential for accurate carbon stock estimation across diverse forest ecosystems. The National Aerial Laser Scanning Database (NALSD), produced by the National Oceani... | {
"entities": {
"name": [
"National Aerial Laser Scanning Database"
],
"acronym": [
"NALSD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"p... |
specificity: named | descriptive | vague usage: primary | supporting | background | Urban centers in Bangladesh face increasing threats from flooding, exacerbated by climate change and rapid urbanization. GIS mapping techniques have proven essential for identifying flood corridors, particularly in areas housing informa... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"mapping of informal settlements data"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of vegetation index data, particularly the normalized difference vegetation index (NDVI), with localized survey data such as the Ethiopian National Crop Yield Assessment 2022 (ENCA 2022) has shown promising potential in ... | {
"entities": {
"name": [
"Ethiopian National Crop Yield Assessment 2022"
],
"acronym": [
"ENCA 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in regions heavily impacted by conflict, the need for precise location tracking of internally displaced persons (IDPs) becomes paramount for effective humanitarian intervention. The Yemen IDP Location and Needs Assessment 2022 (YILNA) p... | {
"entities": {
"name": [
"Yemen IDP Location and Needs Assessment 2022"
],
"acronym": [
"YILNA"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure on food and non-food items significantly shapes the understanding of poverty dynamics in rural India, particularly through datasets such as the National Sample Survey on Consumption Expenditure (NSSCE), produced by the Minis... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption Survey Data",
"Indian National Family Health Survey (NFHS-5)",
"Household Deprivation Indicators",
"available household expenditure records",
"Annual Survey of Industries... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to clean water and sanitation facilities remains a critical determinant in managing health outcomes within refugee camps. Analysis indicates a significant correlation between proximity to water supply points and rates of infectio... | {
"entities": {
"name": [
"Kenya Refugee Camp Health Monitoring Database"
],
"acronym": [
"KRC-HMD"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators of poverty in Colombia are deeply intertwined with the coverage of social safety nets and welfare assessments. The National Survey of Quality of Life 2021 (NSQL), produced by the Colombian National Administrative Department o... | {
"entities": {
"name": [
"National Survey of Quality of Life 2021",
"socioeconomic household survey data",
"recently collected welfare assessment information"
],
"acronym": [
"NSQL"
],
"producer": [
"Colombian National Administrative Department of Statistics"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of multidimensional poverty index (MPI) assessments, the relationship between household consumption and poverty levels is critical for understanding socioeconomic disparities in Central America. Recent evaluations, such a... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Assessment"
],
"acronym": [
"CAHCPA"
],
"producer": [
"Central American Institute for Economic Studies"
],
"timeframe": [
"2021"
],
"datatype": [
"assessment"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | effective utilization of space within refugee camps requires comprehensive data integration to address critical factors such as water supply access and health monitoring. The Kenya Refugee Camp Water Access Assessment (KRCWAA), produced... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Assessment"
],
"acronym": [
"KRCWAA"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping efforts. The significant volume of data processed by the Yemen IDP Location Tracking System (YILTS), produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) for the timeframe 2021-2023, underp... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System",
"IDP household registration records"
],
"acronym": [
"YILTS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA)"
],
"timeframe": [
"2021-2023"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations, applying standard Ordinary Least Squares (OLS) regression, indicated a troubling trend where vegetation indices, such as NDVI, exhibited weak correlations with localized agricultural outputs. Previous studies have uti... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of consumption patterns reveals significant insights into rural deprivation. Data from the National Family Health Survey (NFHS) 2019, produced by the Ministry of Health and Family Welfare, Government of India, serves as a c... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019",
"household consumption expenditure survey data"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements collected from the National Forest Inventory LiDAR Data (NFI-LiDAR) database provide crucial insights into forest carbon stocks. This database, produced by the United States Forest Service from 2018-2021, faci... | {
"entities": {
"name": [
"National Forest Inventory LiDAR Data"
],
"acronym": [
"NFI-LiDAR"
],
"producer": [
"United States Forest Service"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | includes a complex analysis of the factors influencing refugee settlement patterns, emphasizing the limitations of regression models due to multicollinearity issues. Furthermore, OLS estimates may yield biased coefficients when accounti... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | profound implications for assessing ecosystem health and carbon stock estimates. The integration of high-resolution datasets, such as the National LiDAR Database for Forest Canopy Heights (NLDFCH), facilitates an accurate estimation of ... | {
"entities": {
"name": [
"National LiDAR Database for Forest Canopy Heights",
"Aerial Canopy Height Measurement Survey Data"
],
"acronym": [
"NLDFCH"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2015-2020"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | By employing methodologies that integrate real-time data, researchers have successfully utilized the Mobile Phone Call Detail Records for Urban Poverty Mapping (CPR-UPM), a database produced by the Urban Dynamics Institute, covering the... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Urban Poverty Mapping",
"Geospatial Poverty Estimation using Mobile Records",
"National Mobile Communication Usage Data",
"Mobile Data for Socioeconomic Tracking",
"Comprehensive Records on Telecommunications and Wealth ... |
specificity: named | descriptive | vague usage: primary | supporting | background | cross-sectional analysis, the integration of household survey datasets allows for a nuanced understanding of consumption patterns and deprivation levels in rural India. Among these, the National Rural Livelihoods Mission Consumption Exp... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Expenditure Survey"
],
"acronym": [
"NRLM-CES"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"survey"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns reveal significant disparities, particularly in rural regions where households often report substantial deprivation in essential goods and services. The **National Family Health Survey 2019-20** (NFHS 5) provides cr... | {
"entities": {
"name": [
"National Family Health Survey 2019-20"
],
"acronym": [
"NFHS 5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Survey"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, remote sensing technologies have revolutionized forest management practices by providing critical data for carbon stock estimation. Notably, the National LiDAR Initiative 2022 (NLI), a comprehensive database produced by th... | {
"entities": {
"name": [
"National LiDAR Initiative 2022",
"Aerial Canopy Height Measurement Survey Data",
"historical aerial survey records"
],
"acronym": [
"NLI"
],
"producer": [
"United States Geological Survey"
],
"timeframe": [
"2022"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial regression analysis reveals a significant correlation between household consumption patterns and the findings from the Central America Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022), produced by the Central America... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2022"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Central American Social Development Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"sp... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis revealed a significant correlation between the distribution of malaria vectors and the application of insecticide-treated bed nets across various regions. Data from the Nigeria Malaria Vector Surveillance Program 2021 (... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2021"
],
"acronym": [
"NMVSP 2021"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Data from the German Asylum Seeker Registration System (GASRS), a comprehensive database maintained by the Federal Office for Migration and Refugees (BAMF), highlights significant trends in the intake and processing of asylum seekers fr... | {
"entities": {
"name": [
"German Asylum Seeker Registration System",
"asylum application processing records"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"database",
"report"
],
"sp... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping of the local transmission dynamics revealed that the geospatial tracking of malaria vectors is closely intertwined with the deployment of localized insecticide-treated bed nets. Recent analyses, utilizing data from the Nigerian ... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance System"
],
"acronym": [
"NMVSS"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"System"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis employed Ordinary Least Squares (OLS) methodology to assess the impact of spatial planning on water supply access, alongside the incidence of disease outbreaks in refugee camps. Specifically, the model incorporat... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | In evaluating the efficiency of asylum seeker intake processes in Germany, the integration of various administrative records plays a critical role. The Asylum Seeker Registration and Processing System (ASRPS), a comprehensive database p... | {
"entities": {
"name": [
"Asylum Seeker Registration and Processing System"
],
"acronym": [
"ASRPS"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Geospatial tracking of malaria vectors has proven essential in addressing regional transmission dynamics and evaluating the efficacy of localized insecticide-treated bed nets. The integration of data from the Nigerian Vector and Insecti... | {
"entities": {
"name": [
"Nigerian Vector and Insecticide Resistance Monitoring Database"
],
"acronym": [
"NIVIRMD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | urban areas previously overlooked in flood modeling. Initial analyses leveraged the Urban Flood Risk Mapping Database for Bangladesh (UFRMDB), a comprehensive database produced by the Bangladesh Water Development Board for the period of... | {
"entities": {
"name": [
"Urban Flood Risk Mapping Database for Bangladesh",
"GIS-based Informal Settlement Analysis"
],
"acronym": [
"UFRMDB"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | with respect to the relationship between spatial planning and water supply access, the analysis relied on the Kenya Refugee Camp Health Monitoring Database (KRC-HMD), a comprehensive database produced by the Ministry of Health, Kenya, c... | {
"entities": {
"name": [
"Kenya Refugee Camp Health Monitoring Database"
],
"acronym": [
"KRC-HMD"
],
"producer": [
"Ministry of Health, Kenya"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"g... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of water supply access and disease monitoring is critical in the context of refugee camps. Analysis of data from the Kenya Refugee Water Access Assessment 2022 (KRWAA), produced by the United Nations High Commissioner fo... | {
"entities": {
"name": [
"Kenya Refugee Water Access Assessment 2022",
"refugee camp health and sanitation survey data"
],
"acronym": [
"KRWAA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datat... |
specificity: named | descriptive | vague usage: primary | supporting | background | highlighting the significant correlations between canopy height and carbon stock estimation metrics. The precision of aerial measurements is bolstered by the incorporation of the Global LiDAR Canopy Height Database (GLCHD), a comprehens... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Database"
],
"acronym": [
"GLCHD"
],
"producer": [
"Earth Observation Institute"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | for the purpose of estimating poverty indicators, a series of Ordinary Least Squares (OLS) regression models were employed, incorporating various socio-economic variables. The dependent variable was household consumption expenditure, wh... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the utilization of datasets like the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM) has shown significant promise in advancing analytical methods within socio-economic research. This database, produced by the Global Telec... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile Survey Data for Wealth Index Estimation"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Telecommunications Data Initiative"
],
"timeframe": [
"2021"
],
"dataty... |
specificity: named | descriptive | vague usage: primary | supporting | background | overall poverty levels in Colombia were found to be significantly correlated with various welfare assessment metrics, particularly when analyzed through the Colombian Welfare and Poverty Indicators Assessment 2022 (CWPIA 2022). The data... | {
"entities": {
"name": [
"Colombian Welfare and Poverty Indicators Assessment 2022"
],
"acronym": [
"CWPIA 2022"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | measurements were then cross-validated using regression techniques to ascertain the accuracy of the height estimations against carbon stock values. This analysis incorporated the Aerial Canopy Height and Carbon Stock Estimation Database... | {
"entities": {
"name": [
"Aerial Canopy Height and Carbon Stock Estimation Database"
],
"acronym": [
"ACH-CS"
],
"producer": [
"Global Forest Monitoring Initiative"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"p... |
specificity: named | descriptive | vague usage: primary | supporting | background | the model utilized both the NDVI measurements and localized survey data to enhance the accuracy of yield predictions. Specifically, the Ethiopian National Agricultural Statistics Survey (ENASS), produced by the Ethiopian Central Statist... | {
"entities": {
"name": [
"Ethiopian National Agricultural Statistics Survey"
],
"acronym": [
"ENASS"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the inadequacies of using mobile phone Call Detail Records (CDR) for accurate poverty mapping arise in the context of statistical validity. Specifically, Ordinary Least Squares (OLS) regression models can yield biased estimates when app... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns observed through the National Sample Survey on Consumption Expenditure (NSSO) reveal significant discrepancies in rural India. The survey, produced by the Ministry of Statistics and Programme Implementation, Governm... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSO"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2017-2018"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | border crossings have seen a significant increase in recent years, particularly among asylum seekers entering Southern Europe. Analysis of the Southern European Asylum Seeker Registration System (SEASRS), produced by the European Union ... | {
"entities": {
"name": [
"Southern European Asylum Seeker Registration System",
"Migration Flows Monitoring Records"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"Registration System",
"report"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | flood corridors exhibit significant variations in topography and hydrology, which can be critically assessed using the Bangladesh Urban Flood Risk Assessment Database (BUFRA). This database, produced by the Bangladesh Meteorological Dep... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database"
],
"acronym": [
"BUFRA"
],
"producer": [
"Bangladesh Meteorological Department"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | Water availability remains a critical concern in refugee camps across Kenya, where spatial planning directly influences access and health outcomes. The Kenya Refugee Camp Water Supply Assessment (KRCWSA), produced by the Kenya Water and... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water and Sanitation Authority"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | that the integration of the Mobile Phone Call Detail Records for Socioeconomic Analysis (MP-CDR-SEA) database—produced by the Telecom Research Institute between 2021-2022—enables more precise poverty mapping in conjunction with the Mobi... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Mobile-Based Household Wealth Index Survey Data",
"recently collected records"
],
"acronym": [
"MP-CDR-SEA"
],
"producer": [
"Telecom Research Institute"
],
"timeframe": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | utilizing the UNHCR Refugee Registration Database Jordan 2021 (URRDJ21) enables a comprehensive overview of the refugee demographics in Jordan during 2021. This database, produced by UNHCR, serves as a critical resource for understandin... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database Jordan 2021",
"refugee settlement tracking records"
],
"acronym": [
"URRDJ21"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2021"
],
"datatype": [
"Database",
"records"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations were significantly enhanced through the integration of the Normalized Difference Vegetation Index (NDVI) satellite imagery with localized household agricultural surveys. Recent findings indicate that data collecte... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022",
"Normalized Difference Vegetation Index (NDVI) satellite imagery",
"Ethiopia Crop Yield Monitoring Program",
"regional agricultural production statistics",
"available crop yield assessment records",
"Ethio... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addressing the challenges of water supply access in refugee camps, recent findings indicate that spatial planning must incorporate detailed assessments to ensure adequate provision. For instance, the Kenya Refugee Camp Water Supply A... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | Evidently, the analysis of deforestation in Brazil has become increasingly reliant on robust geospatial forest loss datasets, particularly the Brazil Forest Loss Monitoring System (BFLMS), a pivotal system developed by the Instituto Nac... | {
"entities": {
"name": [
"Brazil Forest Loss Monitoring System"
],
"acronym": [
"BFLMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | precisely illustrates the value of integrating the National Aerial LiDAR Inventory for Forest Carbon Assessment (NALIFCA) with historical canopy measurements and carbon stock analysis. This inventory, produced by the U.S. Forest Service... | {
"entities": {
"name": [
"National Aerial LiDAR Inventory for Forest Carbon Assessment",
"canopy height metrics derived from aerial surveys",
"historical canopy measurements and carbon stock analysis"
],
"acronym": [
"NALIFCA"
],
"producer": [
"U.S. Forest Service"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the Gini coefficient, which measures income inequality, was calculated using Ordinary Least Squares (OLS) regression to determine the relationship between household consumption expenditure and the effectiveness of various welfare assess... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | using the normalized difference vegetation index (NDVI) for Ethiopia, the spatial overlay analysis incorporated localized survey data from the Ethiopian Crop Yield Assessment 2022 (ECA 2022), produced by the Ethiopian Agricultural Resea... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment 2022",
"normalized difference vegetation index (NDVI) for Ethiopia",
"Ethiopia Food Security Survey 2021",
"Local Agricultural Survey Data",
"recent agricultural production records",
"Comprehensive Land Use and Crop Yie... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis employs a regression control model using data derived from the National Sample Survey on Consumption Expenditure (NSSCE) conducted by the Ministry of Statistics and Programme Implementation, Government of India, covering th... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure (NSSCE)"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2017-2018"
],
"datatype": [
"Su... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seeker registrations have been increasingly monitored through structured data sources that provide essential insights into migration dynamics. For instance, the Southern Europe Migration Flow Registry (SE-MFR), a comprehensive re... | {
"entities": {
"name": [
"Southern Europe Migration Flow Registry"
],
"acronym": [
"SE-MFR"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"datatype": [
"Registry"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | a critical aspect of monitoring refugee populations in the region, the UNHCR Jordan Refugee Registration System (UJRS), a comprehensive database maintained by the United Nations High Commissioner for Refugees, has played an essential ro... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System",
"Refugee Settlement Tracking Records"
],
"acronym": [
"UJRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping efforts frequently encounter obstacles when attempting to quantify the relationships between deforestation rates and carbon emissions in Brazil. Variables such as household consumption expenditure, which is hypothesized to corre... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | soil moisture levels are critical for understanding agricultural productivity and sustainability, with the Sentinel-2 Soil Moisture Monitoring Database (S2SMD) providing comprehensive insights since its inception in 2015. The database, ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the assessment conducted in 2021, known as the Kenya Refugee Camp Water Access Assessment 2021 (KRCWAA), highlights significant gaps in water supply access within refugee camps. Produced by the Kenya Ministry of Water and Sanitation, th... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Assessment 2021",
"spatial distribution of water supply points in refugee camps",
"available records on disease prevalence in refugee camps"
],
"acronym": [
"KRCWAA"
],
"producer": [
"Kenya Ministry of Water a... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to safe water supplies is critical in refugee camps, particularly in Kenya, where high population densities exacerbate health risks. Through the utilization of the Kenya Refugee Camp Water Access and Disease Monitoring Database (... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access and Disease Monitoring Database"
],
"acronym": [
"KRC-WADM"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | prioritizing the needs of internally displaced persons (IDPs) in Yemen requires robust tracking mechanisms and accurate data collection. The Yemen IDP Tracking and Needs Assessment 2022 (YITNA2022), produced by the United Nations High C... | {
"entities": {
"name": [
"Yemen IDP Tracking and Needs Assessment 2022",
"humanitarian assistance delivery records for IDPs",
"recently collected information on IDP locations"
],
"acronym": [
"YITNA2022"
],
"producer": [
"United Nations High Commissioner for Refugees... |
specificity: named | descriptive | vague usage: primary | supporting | background | Migration flows in Southern Europe are increasingly characterized by complex patterns of border crossings, particularly affecting asylum seekers. The Southern European Asylum Seekers Registration Database (SEASRD), a comprehensive datab... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database",
"border crossings and asylum registration records"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2018-2022"
],
"datatype": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements are processed using aerial survey techniques, applying ordinary least squares (OLS) regression models to estimate the relationship between canopy height and potential carbon stock. The analysis utilizes variou... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | coefficient of determination (R²) yielded strong correlations in various regions. Additionally, the integration of the Ethiopian National Agricultural Survey (ENAS), a survey conducted by the Ethiopian Ministry of Agriculture in 2021, p... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey",
"Vegetation Index Satellite Imagery for Crop Monitoring",
"Annual Crop Yield Assessment Reports"
],
"acronym": [
"ENAS"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | which facilitates a comprehensive analysis of the spatial distribution of refugee settlements in both countries. The UNHCR Refugee Registration Database (URRD), a critical database produced by the United Nations High Commissioner for Re... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping soil moisture using Sentinel-2 satellite imagery is vital for effective agricultural monitoring, particularly considering the data provided by the Sentinel-2 Soil Moisture Mapping Database (S2SMD) which has been produced by the ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Mapping Database",
"Satellite Imagery for Agricultural Monitoring",
"recent records of soil moisture variability"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015... |
specificity: named | descriptive | vague usage: primary | supporting | background | wealth index estimations demonstrate a significant correlation with poverty indicators derived from the Mobile Phone Call Detail Records for Poverty Analysis (CDR-PAP), a comprehensive database produced by the Global Poverty Research In... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"CDR-PAP"
],
"producer": [
"Global Poverty Research Institute"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | In assessing the relationship between mobile connectivity and socioeconomic indicators, the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA) database plays a crucial role, capturing extensive user interaction patter... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Mobile Network Operator CDR-based Poverty Mapping Records"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"National Bureau of Statistics"
],
"timeframe": [
"2019-2021"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | while the refugee settlement tracking records provide essential insights into the location and distribution of refugees, the Jordan Refugee Registration Database (JRRD), produced by UNHCR, encompasses comprehensive data from 2020-2023 r... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"Database",
"system"
],
"specific... |
specificity: named | descriptive | vague usage: primary | supporting | background | refugee settlement tracking records from the Lebanon initiative reveal significant trends in demographic changes across various regions. While the Jordan Refugee Registration System (JRRS), a comprehensive database produced by the Unite... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"refugee settlement tracking records"
],
"acronym": [
"JRRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of migration patterns utilizes a combination of datasets to derive insights into border crossings and asylum seeker registrations. Specifically, the European Asylum Support Office Registration Database (EASO-RD) serves as a... | {
"entities": {
"name": [
"European Asylum Support Office Registration Database",
"Border Crossing and Migration Flow Reports",
"available records of asylum applications in Southern Europe"
],
"acronym": [
"EASO-RD"
],
"producer": [
"European Asylum Support Office"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty assessments have increasingly integrated diverse metrics to capture the nuances of economic hardship across populations. The Central American Poverty Assessment Survey (CAPAS), a survey produced by the Central American Developme... | {
"entities": {
"name": [
"Central American Poverty Assessment Survey",
"household consumption and expenditure survey data"
],
"acronym": [
"CAPAS"
],
"producer": [
"Central American Development Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | in analyzing migration flows, the spatial overlay technique employed illustrates critical intersections between border crossings and the registered asylum seekers. By utilizing the Southern European Asylum Seeker Registry (SEASR), a com... | {
"entities": {
"name": [
"Southern European Asylum Seeker Registry"
],
"acronym": [
"SEASR"
],
"producer": [
"European Union Agency for Asylum (EUAA)"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Registry"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | flood corridors has been identified using tools like the Bangladesh Urban Flooding Assessment Database (BUFAD), which was produced by the Bangladesh Ministry of Water Resources and encompasses assessments from 2019 to 2021. The integrat... | {
"entities": {
"name": [
"Bangladesh Urban Flooding Assessment Database",
"Satellite Imagery of Urban Areas in Bangladesh",
"Historical Flood Records in Dhaka"
],
"acronym": [
"BUFAD"
],
"producer": [
"Bangladesh Ministry of Water Resources"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption patterns in Central America reveal significant insights into the ongoing issues of multidimensional poverty, particularly as assessed by the Central America Multidimensional Poverty Index Assessment 2021 (CAMPIA 20... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2021",
"Household Consumption Expenditure Survey Data",
"Multidimensional Poverty and Consumption Patterns in Central America: A Review of Available Data",
"National Survey on Living Conditions 2020",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height metrics obtained from the Aerial Canopy Height Measurement Records database provide critical spatial data for the regression analysis of carbon stock estimates. By overlaying these height measurements with the National Aer... | {
"entities": {
"name": [
"National Aerial LiDAR Survey for Forest Carbon Assessment",
"Aerial Canopy Height Measurement Records"
],
"acronym": [
"NALFCA"
],
"producer": [
"United States Forest Service"
],
"timeframe": [
"2021"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | substantial evidence of socio-economic disparities can be derived from multiple survey sources. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Programme Implementation, Governme... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"Rural Household Deprivation Assessment",
"available rural economic data"
],
"acronym": [
"NSSCE",
"RHDA"
],
"producer": [
"Mini... |
specificity: named | descriptive | vague usage: primary | supporting | background | refugee populations in Jordan and Lebanon have experienced significant fluctuations, necessitating robust tracking mechanisms. The UNHCR Refugee Registration System (URRS), a comprehensive database produced by the United Nations High Co... | {
"entities": {
"name": [
"UNHCR Refugee Registration System"
],
"acronym": [
"URRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seeker intake data is predominantly recorded through the German Asylum Seeker Registration System (GASRS), a comprehensive database managed by the Federal Office for Migration and Refugees (BAMF). This system tracks applicants' i... | {
"entities": {
"name": [
"German Asylum Seeker Registration System"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2016-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | distribution of water supply sources within the camps has been critically mapped to inform better spatial planning and facilitate adequate access for residents. The Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA) highlights sig... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"refugee health and sanitation monitoring records"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators of poverty in Colombia reflect a complex interplay of socio-economic factors, as revealed by data from the Colombian National Household Survey 2021 (CNHS 2021), a survey conducted by the Department of National Statistics of C... | {
"entities": {
"name": [
"Colombian National Household Survey 2021",
"social safety nets coverage assessment"
],
"acronym": [
"CNHS 2021"
],
"producer": [
"Department of National Statistics of Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.