input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | refugees are registered through the UNHCR Refugee Registration Database for Jordan and Lebanon (URRDL), which serves as a comprehensive database that has been maintained by the United Nations High Commissioner for Refugees (UNHCR) from ... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database for Jordan and Lebanon"
],
"acronym": [
"URRDL"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to the available household survey records, the analysis draws heavily on the National Sample Survey on Consumption Expenditure (NSSE), a survey produced by the Government of India that provides insights into rural consumptio... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"available household survey records"
],
"acronym": [
"NSSE"
],
"producer": [
"Government of India"
],
"timeframe": [
"2017-201... |
specificity: named | descriptive | vague usage: primary | supporting | background | informed by the Aerial LiDAR Canopy Height Measurement Database (ALCHMD), spatial analyses were conducted to evaluate the relationship between canopy height and carbon stock estimates. These measurements, produced by the National Forest... | {
"entities": {
"name": [
"Aerial LiDAR Canopy Height Measurement Database"
],
"acronym": [
"ALCHMD"
],
"producer": [
"National Forestry Agency"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | amplified the challenges associated with the influx of asylum seekers, as indicated by the Southern European Asylum Seekers Registration Database (SEASRD) produced by the European Migration Network from 2021-2023. This database provides... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database",
"Border Crossing Trends Analysis Reports",
"historical migration flows information"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Migration Network"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | and specifically focuses on the integration of various survey datasets, including the National Sample Survey on Consumption Expenditure (NSSCE) produced by the Ministry of Statistics and Programme Implementation, Government of India in ... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"recently collected information on household deprivation in rural areas"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics an... |
specificity: named | descriptive | vague usage: primary | supporting | background | urban flood corridors often intersect with informal settlements, leading to significant vulnerabilities in affected communities. GIS mapping techniques have proved invaluable in visualizing these interactions, particularly with data fro... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database"
],
"acronym": [
"BUFRA"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | Additionally, the integration of the Yemen IDP Location Tracking System (YILTS), produced by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) from 2021-2023, facilitates real-time analysis of internally disp... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System",
"Humanitarian Assistance Needs Assessment for IDPs",
"available records on IDP movements"
],
"acronym": [
"YILTS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA... |
specificity: named | descriptive | vague usage: primary | supporting | background | contributing to the understanding of processing times, the analysis leverages the German Asylum Seekers Reception and Processing Database (GASPRD), produced by the Federal Office for Migration and Refugees (BAMF) from 2019 to 2023. This... | {
"entities": {
"name": [
"German Asylum Seekers Reception and Processing Database",
"refugee intake administrative records",
"recently collected information on asylum seekers in Germany"
],
"acronym": [
"GASPRD"
],
"producer": [
"Federal Office for Migration and Refu... |
specificity: named | descriptive | vague usage: primary | supporting | background | contribute to a nuanced understanding of processing efficiencies. For instance, the Asylum Seeker Intake Database 2022 (ASID 2022), a comprehensive database produced by the Federal Office for Migration and Refugees (BAMF), compiles data... | {
"entities": {
"name": [
"Asylum Seeker Intake Database 2022",
"Refugee Registration and Processing Records",
"historical asylum seeker processing information"
],
"acronym": [
"ASID 2022"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimating crop yields necessitates a robust integration of vegetation indices and localized data sources. Notably, the Ethiopian National Crop Production Assessment (ENCPA), produced by the Ethiopian Agricultural Authority in 2021, pro... | {
"entities": {
"name": [
"Ethiopian National Crop Production Assessment"
],
"acronym": [
"ENCPA"
],
"producer": [
"Ethiopian Agricultural Authority"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking of internally displaced persons (IDPs) relies heavily on comprehensive datasets that enable accurate analysis of their movement and needs in crisis situations. The Yemen Displacement Tracking System (YDT), a robust database pro... | {
"entities": {
"name": [
"Yemen Displacement Tracking System",
"displacement location assessment data"
],
"acronym": [
"YDT"
],
"producer": [
"International Organization for Migration (IOM)"
],
"datatype": [
"database",
"assessment"
],
"specific... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to adequate water supply remains a crucial factor in disease prevention within refugee camps in Kenya. The spatial planning of these camps directly influences the efficiency of water distribution systems, as indicated by the Keny... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya National Water Supply Authority"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | Coverage of social safety nets in Colombia reveals significant disparities among various demographic groups. The Colombian National Welfare Survey 2021 (CNWS 2021), a comprehensive survey produced by the Department of Social Prosperity,... | {
"entities": {
"name": [
"Colombian National Welfare Survey 2021",
"household poverty indicators and welfare assessment data",
"recently collected records on social safety nets in Colombia"
],
"acronym": [
"CNWS 2021"
],
"producer": [
"Department of Social Prosperity... |
specificity: named | descriptive | vague usage: primary | supporting | background | crossings within Southern Europe reveal significant patterns in migration flows, particularly concerning asylum seekers. The Mediterranean Migration Flows Database (MMFD) provides comprehensive data on migration trends from 2018 to 2023... | {
"entities": {
"name": [
"Mediterranean Migration Flows Database",
"Asylum Seeker Registration Records",
"Southern European Border Surveillance Assessment",
"recent migration trends"
],
"acronym": [
"MMFD",
"SEBSA"
],
"producer": [
"Frontex"
],
"t... |
specificity: named | descriptive | vague usage: primary | supporting | background | the resulting regression analysis yielded significant correlations between flood susceptibility and the density of informal settlements identified in the GIS mapping process. Notably, the Bangladesh Urban Flood Vulnerability Assessment ... | {
"entities": {
"name": [
"Bangladesh Urban Flood Vulnerability Assessment"
],
"acronym": [
"BUFVA"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | households across diverse regions revealed significant insights into the disparities in consumption expenditure and associated deprivation levels. The analysis employed Ordinary Least Squares (OLS) regression models to quantify the rela... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | regression analysis provides insights into the relationships among variables affecting border crossings in Southern Europe. The spatial overlay analysis conducted utilizing the Southern European Asylum Seeker Registration Database (SEAS... | {
"entities": {
"name": [
"Southern European Asylum Seeker Registration Database"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Migration Network"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing attention is directed towards the impacts of deforestation on carbon emissions in Brazil. The Brazilian National Forest Inventory (BNFI), an extensive inventory produced by the Brazilian Forest Service, provides critical insi... | {
"entities": {
"name": [
"Brazilian National Forest Inventory"
],
"acronym": [
"BNFI"
],
"producer": [
"Brazilian Forest Service"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Inventory"
],
"specificity": [
"named"
],
"usage": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | universal coverage of social safety nets remains a critical challenge in Colombia, as evidenced by data from the Colombia National Welfare Assessment 2022 (CNWA 2022) conducted by the Ministry of Social Protection, Colombia. The assessm... | {
"entities": {
"name": [
"Colombia National Welfare Assessment 2022"
],
"acronym": [
"CNWA 2022"
],
"producer": [
"Ministry of Social Protection, Colombia"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | the relationship between household consumption patterns and poverty levels reveals significant insights when contextualized within the framework established by the Central American Multidimensional Poverty Index Assessment 2022 (CAMPIA ... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Assessment 2022"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Regional Economic Commission for Central America"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping urban flood corridors in Bangladesh requires comprehensive datasets to assess the risks and inform planning strategies. The Bangladesh Urban Flood Risk Assessment 2022 (BUFRA 2022), produced by the Bangladesh Meteorological Depa... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment 2022",
"Satellite Imagery for Urban Planning",
"National Land Use Policy Database",
"Informal Settlement Mapping Reports",
"available records of urban flood incidences"
],
"acronym": [
"BUFRA 2022",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators in Colombia reveal significant insights, particularly through the Colombian National Welfare Assessment Survey 2022 (CNWAS 2022), which provides comprehensive survey data collected by the Colombian Ministry of Social ... | {
"entities": {
"name": [
"Colombian National Welfare Assessment Survey 2022",
"Household Economic Survey Data",
"Social Safety Nets Coverage Report 2021",
"Poverty Reduction Program Assessment",
"available welfare assessment records"
],
"acronym": [
"CNWAS 2022",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping soil moisture levels through satellite imagery requires rigorous methodology often entailing the application of various statistical models. Linear regression approaches, particularly Ordinary Least Squares (OLS), provide a found... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking vectors across different ecological zones revealed significant disparities in density, with spatial overlay analyses conducted using the Nigeria Malaria Vector Surveillance Database (NMVSD) facilitating a deeper understanding o... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | further analysis reveals that the integration of GIS technologies with the Urban Flood Mapping Database (UFMD) has significantly enhanced the identification of flood corridors and their impact on informal settlements in Bangladesh. The ... | {
"entities": {
"name": [
"Urban Flood Mapping Database"
],
"acronym": [
"UFMD"
],
"producer": [
"Bangladesh Meteorological Department"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usag... |
specificity: named | descriptive | vague usage: primary | supporting | background | gathering accurate information on the whereabouts of internally displaced persons (IDPs) is critical for effective humanitarian response in Yemen. The Yemen Internally Displaced Persons Location Database (YIDP-LD) serves as a primary to... | {
"entities": {
"name": [
"Yemen Internally Displaced Persons Location Database",
"displacement tracking survey data"
],
"acronym": [
"YIDP-LD"
],
"producer": [
"Yemen Humanitarian Coordination Office"
],
"timeframe": [
"2022"
],
"datatype": [
"D... |
specificity: named | descriptive | vague usage: primary | supporting | background | in conjunction with the National Aerial LiDAR Height Assessment (NALHA) data, produced by the National Oceanic and Atmospheric Administration (NOAA) during the 2021-2022 timeframe, facilitates a more comprehensive understanding of canop... | {
"entities": {
"name": [
"National Aerial LiDAR Height Assessment"
],
"acronym": [
"NALHA"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assessment"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments utilize advanced metrics to enhance accuracy in crop yield estimations, particularly in the context of Ethiopia's diverse agricultural landscape. The combination of the Normalized Difference Vegetation Index (NDVI) Time Seri... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2021",
"Normalized Difference Vegetation Index (NDVI) Time Series Data",
"recent agricultural yield assessments"
],
"acronym": [
"EASS 2021"
],
"producer": [
"Central Statistical Agency of Ethiopia"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | highlighted the efficacy of using the Global LiDAR Canopy Height Data 2021 (GLCHD) as a comprehensive database for accurately estimating carbon stocks. By utilizing measurements taken over the extensive timeframe of 2021, the Internatio... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Data 2021"
],
"acronym": [
"GLCHD"
],
"producer": [
"International Institute for Applied Systems Analysis"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | malaria vector distribution patterns across various regions highlight significant disparities influenced by localized insecticide-treated bed nets. The integration of geospatial tracking technologies has enabled more precise monitoring,... | {
"entities": {
"name": [
"Malaria Vector Surveillance and Insecticide Resistance Monitoring Database"
],
"acronym": [
"MVS-IRMD"
],
"producer": [
"Nigerian Center for Disease Control (NCDC)"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | transmission dynamics observed in regions of Nigeria reflect critical interactions between vector populations and local interventions. The Nigeria Malaria Vector Surveillance Database (NMVSD), produced by the Nigeria Ministry of Health ... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Health"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geo... |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly contributes to the understanding of spatial patterns associated with forest loss in Brazil. The Brazilian Deforestation Monitoring System (BDMS), a crucial system produced by the Brazilian National Institute for Space Rese... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Brazilian National Institute for Space Research (INPE)"
],
"timeframe": [
"2010-2022"
],
"datatype": [
"System"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed spatial variability in crop yields through the integration of the Normalized Difference Vegetation Index (NDVI) satellite imagery, which covers the timeframe from 2018-2023, alongside the localized crop yield survey data collec... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2022",
"Normalized Difference Vegetation Index (NDVI) satellite imagery",
"localized crop yield survey data",
"available agricultural yield information"
],
"acronym": [
"EAS-2022"
],
"producer": [
"Central... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis employs both the National Sample Survey on Consumption Expenditure (NSSCE) and the household consumption expenditure survey data to model the relationship between consumption patterns and deprivation levels in rural regions... | {
"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 | Consumption patterns among households in rural India reflect significant disparities influenced by various socio-economic factors. According to the National Sample Survey on Consumption Expenditure (NSSCE), conducted in 2019 by the Mini... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019"
],
"datatype": [
"Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis revealed significant correlations between the distribution of malaria vectors and the spatial placement of insecticide-treated bed nets. Utilizing the Nigerian Malaria Vector Surveillance Database (NMVSD), produced by the N... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets in Nigeria",
"recently collected records"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing scrutiny on poverty indicators has revealed significant insights from the National Survey of Quality of Life 2021 (NSQL 2021), which provided essential survey data produced by the Department of National Statistics, Colombia, ... | {
"entities": {
"name": [
"National Survey of Quality of Life 2021",
"household welfare assessment data",
"Colombian Poverty Monitoring System",
"social safety nets coverage records",
"Mercado Laboral Survey 2020",
"Recent poverty statistics"
],
"acronym": [
"NSQL... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation efforts in Ethiopia, particularly through the application of the NDVI (Normalized Difference Vegetation Index), have shown promising results when cross-referenced with localized survey data. The Ethiopian National Crop Yield ... | {
"entities": {
"name": [
"Ethiopian National Crop Yield Monitoring Program"
],
"acronym": [
"ENCYMP"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Program"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | the correlation of forest loss with carbon emissions is significant when utilizing datasets such as the Brazilian Forest Monitoring System (BFMS) produced by Instituto Nacional de Pesquisas Espaciais (INPE) for the year 2020. The Annual... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System",
"Annual Deforestation Rate Reports",
"MapBiomas Land Cover Map",
"Brazilian Carbon Emissions Inventory",
"Global Forest Watch Data",
"Geospatial Forest Loss Monitoring Data",
"Deforestation Assessment Reports... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations are influenced significantly by the integration of remote sensing data and localized survey records. In this regard, the Ethiopian Agricultural Survey Database 2021 (EASD), produced by the Ethiopian Ministry of Agricul... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey Database 2021"
],
"acronym": [
"EASD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | carbon stock estimates derived from LiDAR and aerial measurements can significantly enhance forest management practices. This is particularly evident in the analysis facilitated by the Aerial Canopy Height Assessment Database (ACHAD), w... | {
"entities": {
"name": [
"Aerial Canopy Height Assessment Database"
],
"acronym": [
"ACHAD"
],
"producer": [
"Global Forest Monitoring Agency"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements play a critical role in carbon stock estimation, utilizing various data sources to create robust models. The Forest Canopy Height Database 2021 (FCHD 2021), produced by Global Forest Watch, serves as a foundational d... | {
"entities": {
"name": [
"Forest Canopy Height Database 2021",
"LiDAR Aerial Mapping Survey Data",
"Carbon Stock Assessment Report 2020",
"Vegetation Height Observations",
"National LiDAR Data Catalog",
"Available Aerial Canopy Measurements",
"Terrestrial Carbon Monitori... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to essential water resources plays a critical role in the spatial planning of refugee camps, particularly in regions like Kenya. The spatial overlay analysis conducted on the Kenya Refugee Camp Water Supply Access Assessment (KRC... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Access Assessment"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assessment"
],
"spec... |
specificity: named | descriptive | vague usage: primary | supporting | background | effectiveness of administrative protocols in handling asylum claims remains questionable. Specifically, the German Asylum Seeker Registration System (GASRS), operated by the Federal Office for Migration and Refugees (BAMF), has been ins... | {
"entities": {
"name": [
"German Asylum Seeker Registration System",
"Asylum Processing Times Records"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"System",
"report"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | given the complexities involved in tracking migration flows, a comprehensive analysis necessitates employing various regression models to understand the relationships between border crossings and asylum seeker registrations. The study u... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | by integrating the spatial data from the Yemen IDP Location Tracking Initiative (YILT), we conducted a regression analysis to assess the impact of humanitarian assistance on the living conditions of internally displaced persons in Yemen... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Initiative"
],
"acronym": [
"YILT"
],
"producer": [
"Yemen Humanitarian Response Coalition"
],
"datatype": [
"assessment"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, data from the Jordan Refugee Registration System (JRRS), a comprehensive database produced by UNHCR covering the timeframe 2020-2023, illustrates the complexities of refugee demographics within Jordan and Lebanon. These av... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"Refugee Settlement Tracking Records",
"available records on refugee demographics"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2020-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Deforestation mapping in Brazil reveals critical insights into the ongoing environmental crisis, particularly concerning carbon emissions linked to forest loss. The Brazilian Annual Deforestation Rate Assessment (BADRA) 2022, produced b... | {
"entities": {
"name": [
"Brazilian Annual Deforestation Rate Assessment (BADRA) 2022"
],
"acronym": [
"BADRA"
],
"producer": [
"Institute for National Environment and Renewable Natural Resources (IBAMA)"
],
"timeframe": [
"2022"
],
"datatype": [
"Ass... |
specificity: named | descriptive | vague usage: primary | supporting | background | profound implications for estimating carbon stocks. Utilizing the National LiDAR and Aerial Canopy Height Database (NLACHD), produced by the National Oceanic and Atmospheric Administration from 2015-2022, researchers can obtain precise ... | {
"entities": {
"name": [
"National LiDAR and Aerial Canopy Height Database",
"Aerial Canopy Height Measurement Survey Data",
"previously collected LiDAR information for carbon stock analysis"
],
"acronym": [
"NLACHD"
],
"producer": [
"National Oceanic and Atmospheric... |
specificity: named | descriptive | vague usage: primary | supporting | background | and geospatial tracking of malaria vectors reveal a direct correlation between local mosquito populations and the usage of insecticide-treated bed nets (ITNs). Specifically, the Nigerian Malaria Vector Surveillance Database (NMVSD), pro... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the establishment of accurate poverty mapping has increasingly leveraged advanced data techniques, particularly through the integration of the Mobile Phone CDR Poverty Mapping Initiative (MPCDR-PMI), produced by the Global Poverty Lab i... | {
"entities": {
"name": [
"Mobile Phone CDR Poverty Mapping Initiative",
"Mobile Network Operator Household Wealth Index Survey",
"recently collected records"
],
"acronym": [
"MPCDR-PMI"
],
"producer": [
"Global Poverty Lab"
],
"timeframe": [
"2022",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Monitoring the effectiveness of soil moisture management practices benefits greatly from high-resolution satellite imagery. The integration of the Sentinel-2 Level-2A Surface Reflectance Data (S2L2A), produced by the European Space Agen... | {
"entities": {
"name": [
"Sentinel-2 Level-2A Surface Reflectance Data",
"Soil Moisture Monitoring Imagery",
"Global Agricultural Monitoring Initiative Records",
"recent remote sensing observations"
],
"acronym": [
"S2L2A",
"GAMI"
],
"producer": [
"Europe... |
specificity: named | descriptive | vague usage: primary | supporting | background | between factors influencing asylum seekers registration and the migration flows observed in Southern Europe. Specifically, regression models utilizing OLS techniques reveal that variances in household consumption expenditure correlate n... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | In recent assessments of the asylum processing landscape, the tracking of asylum seeker intake has emerged as a pivotal factor influencing administrative efficiency. The Germany Asylum Seeker Intake Database (GASID), maintained by the F... | {
"entities": {
"name": [
"Germany Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addressing the multifaceted nature of poverty in Colombia, the analysis utilized data derived from the Survey of Quality of Life and Social Protection in Colombia (SQLSPC), a comprehensive survey produced by the National Administrati... | {
"entities": {
"name": [
"Survey of Quality of Life and Social Protection in Colombia"
],
"acronym": [
"SQLSPC"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | Tracking the movement of internally displaced persons (IDPs) in Yemen is crucial for effective humanitarian response and assistance distribution. The Yemen Internal Displacement Assessment 2021 (YIDA), produced by UN OCHA, offers vital ... | {
"entities": {
"name": [
"Yemen Internal Displacement Assessment 2021",
"Emergency Response Registration Records",
"recently collected humanitarian assistance information"
],
"acronym": [
"YIDA"
],
"producer": [
"UN OCHA"
],
"timeframe": [
"2021"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | immigration patterns were assessed through a series of OLS regression models, focusing on the impact of socioeconomic variables such as household consumption expenditure and unemployment rates on border crossings. The Gini coefficient w... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking survey on insecticide-treated bed nets reveals critical patterns in the distribution and usage of ITNs across various regions. The findings correlate significantly with data from the Malaria Vector and Insecticide Re... | {
"entities": {
"name": [
"Malaria Vector and Insecticide Resistance Monitoring System",
"geospatial tracking survey on insecticide-treated bed nets"
],
"acronym": [
"MVIRMS"
],
"producer": [
"Nigeria Vector Control Program"
],
"timeframe": [
"2021-2023"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | flooding events, the analysis of urban flood corridors and informal settlements reveals critical insights into risk factors associated with urbanization. Utilizing the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangla... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"high-resolution satellite imagery for urban areas"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2022"
],
"datatype": [
"Databas... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to adequate water supply remains a critical issue in the ongoing management of refugee camps in Kenya, influencing both health outcomes and the overall quality of life. The findings from the Kenya Refugee Camp Water Access Monito... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Monitoring Report 2022",
"Spatial Analysis of Refugee Camp Infrastructure Data",
"historical records of disease outbreaks in refugee camps"
],
"acronym": [
"KRCWAMR"
],
"producer": [
"Kenya Ministry of Water a... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression model demonstrated significant correlations between the normalized difference vegetation index (NDVI) values and localized crop production metrics. Utilizing the Ethiopian National Agricultural Survey (ENAS) as a primary ... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey",
"Vegetation Index Data for East Africa",
"recent crop yield assessment data"
],
"acronym": [
"ENAS"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021",
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | population estimates indicates significant disparities across regions, necessitating a controlled approach in spatial overlay analyses. For instance, the UNHCR Refugee Registration Database for Jordan and Lebanon (URR-D), maintained by ... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database for Jordan and Lebanon"
],
"acronym": [
"URR-D"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | exhibited significant correlations between the Multidimensional Poverty Index Assessment 2022 (MPIA22) and household consumption expenditure survey data. The MPIA22, produced by the Central American Statistics Institute, highlights vari... | {
"entities": {
"name": [
"Multidimensional Poverty Index Assessment 2022",
"household consumption expenditure survey data"
],
"acronym": [
"MPIA22"
],
"producer": [
"Central American Statistics Institute"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Coverage of social safety nets in Colombia reflects significant disparities, particularly when evaluated against poverty indicators derived from the Colombia National Welfare Registry (CNWR)². The CNWR, produced by the Ministry of Socia... | {
"entities": {
"name": [
"Colombia National Welfare Registry"
],
"acronym": [
"CNWR"
],
"producer": [
"Ministry of Social Protection, Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Registry"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Canopy height measurements derived from LiDAR technology significantly enhance carbon stock estimation models. Specifically, the Global LiDAR Canopy Height Model 2021 (GLCHM), produced by the International Institute of Applied Systems A... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Model 2021",
"Aerial Survey Data for Forest Carbon Estimation",
"historical aerial canopy measurements available from multiple sources"
],
"acronym": [
"GLCHM"
],
"producer": [
"International Institute of Applied S... |
specificity: named | descriptive | vague usage: primary | supporting | background | as the pressures on Germany’s immigration system increase, the importance of accurate tracking of asylum seeker intake has become paramount. The analysis of the Refugee Intake and Processing Records for Asylum Seekers in Germany (RIPR-A... | {
"entities": {
"name": [
"Refugee Intake and Processing Records for Asylum Seekers in Germany"
],
"acronym": [
"RIPR-AS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | examination of the correlation between the spatial distribution of internally displaced persons (IDPs) and the corresponding humanitarian assistance reveals significant trends. Specifically, the Yemen IDP Location Tracking Database (YIL... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"IDP Humanitarian Assistance Needs Assessment",
"historical records of IDP movements in Yemen"
],
"acronym": [
"YILTDB"
],
"producer": [
"Yemen Humanitarian Coordination Team"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | processes such as the integration of the German Asylum Seeker Intake Database (GASID) have become crucial for assessing administrative refugee records. Established by the Federal Office for Migration and Refugees, the GASID spans the ti... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
... |
specificity: named | descriptive | vague usage: primary | supporting | background | to accurately analyze the spatial distribution of internally displaced persons (IDPs) in Yemen, data from the Yemen IDP Tracking System 2022 (YITS) was utilized as a critical database. Produced by the Yemen Humanitarian Response Plan, t... | {
"entities": {
"name": [
"Yemen IDP Tracking System 2022",
"displacement location survey data",
"recent humanitarian assistance reports"
],
"acronym": [
"YITS"
],
"producer": [
"Yemen Humanitarian Response Plan"
],
"timeframe": [
"2022"
],
"data... |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly impacts carbon emissions and biodiversity in Brazil. The Brazilian Deforestation Monitoring System (BDMS), produced by the Instituto Nacional de Pesquisas Espaciais (INPE), provides crucial data from 2010 to 2022, tracking... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"Geospatial Forest Loss Analysis Data"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"System",
"report"
],
"speci... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty indicators remain a crucial component in evaluating the effectiveness of welfare assessments across Colombia. The National Survey of Welfare Indicators (NSWI), produced by the National Department of Planning, Colombia, provides ... | {
"entities": {
"name": [
"National Survey of Welfare Indicators",
"Socioeconomic Monitoring Database",
"household poverty assessment data",
"Colombian Social Protection System Records",
"community welfare surveys",
"available records on social safety nets",
"Comprehensiv... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to adequate water supply and monitoring of disease outbreaks in refugee camps remain critical components of spatial planning initiatives in Kenya. The Water Access Monitoring Survey for Refugee Camps (2022) highlights key metrics... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Access Monitoring Survey for Refugee Camps",
"UNHCR Refugee Registration Database",
"satellite imagery for refugee camp infrastructure analysis",
"available records on disease prevalence in refugee camps",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | immense challenges arise from the integration of the UNHCR Refugee Registration Database (URRD), a comprehensive database produced by the United Nations High Commissioner for Refugees (UNHCR), which covers the critical timeframe from 20... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implementation of ordinary least squares (OLS) regression provided insights into the relationships between various agricultural productivity metrics and socio-economic variables such as household consumption expenditure. A significa... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial distribution analysis of refugee camps in Kenya relies heavily on the integration of various datasets, notably the **Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA)**, produced by the **Kenya Water Resources Authority**... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"Spatial Mapping of Refugee Camps in Kenya",
"UNHCR Refugee Registration Records",
"Health Surveillance System for Refugee Populations",
"Kenya Refugee Camp Disease Monitoring Framework",
"Current Wate... |
specificity: named | descriptive | vague usage: primary | supporting | background | regression analyses employed Ordinary Least Squares (OLS) methods to investigate the relationship between household consumption expenditure and poverty indicators. Significant disparities emerged when examining the Gini coefficient, rev... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The critical examination of geospatial forest loss datasets highlights the alarming trends in deforestation across Brazil, particularly when analyzed through the lens of the Brazil Deforestation Monitoring System (BDMS). This comprehens... | {
"entities": {
"name": [
"Brazil Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly critical to assess the interplay between spatial planning in refugee camps and the efficacy of water supply access. The *Water Supply Access and Sanitation Assessment* highlights glaring disparities in water availability, s... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Access and Sanitation Assessment"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenyan Ministry of Health"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"System",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis indicates a significant correlation between the findings from the Colombian National Survey of Household Income and Expenditure (ENIGH) and the historical poverty indicators, specifically highlighting the shifts ... | {
"entities": {
"name": [
"Colombian National Survey of Household Income and Expenditure",
"household poverty assessment data",
"Social Protection Program Monitoring Reports",
"historical poverty indicators"
],
"acronym": [
"ENIGH"
],
"producer": [
"Ministry of ... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzing the interplay between poverty indicators and welfare assessments involved the application of multiple regression models to understand the effects of social safety nets coverage in Colombia. The Ordinary Least Squares (OLS) reg... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of satellite data has become pivotal in enhancing agricultural productivity. The Sentinel-2 Soil Moisture Assessment Database (S2SMAD) produced by the European Space Agency, covering the timeframe from 2015 to 2023, offe... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Assessment Database",
"High-Resolution Satellite Imagery for Agricultural Monitoring",
"Soil Moisture Mapping Utilizing Remote Sensing Techniques",
"Global Sentinel-2 Imagery Archives",
"Agricultural Monitoring Initiative Dataset 20... |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessment of consumption patterns is facilitated through a series of comprehensive surveys that reveal intricate relationships between expenditure and deprivation. The National Sample Survey on Consumption Expenditure (NSSCE), produced... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Household Consumption Expenditure Survey Data",
"Rural Deprivation Survey Data",
"Indian Rural Household Survey 2021",
"Comprehensive Consumption Expenditure Report",
"Longitudinal Rural Consumption... |
specificity: named | descriptive | vague usage: primary | supporting | background | the results reveal significant correlations between forest loss and carbon emissions, particularly when analyzed using the Brazilian Satellite Monitoring Database for Forest Loss (BSMDBFL), produced by the National Institute for Space R... | {
"entities": {
"name": [
"Brazilian Satellite Monitoring Database for Forest Loss",
"Geospatial Forest Loss Assessment Records",
"National Forest Inventory Reporting System",
"High-Resolution Satellite Imagery for Deforestation Monitoring",
"Carbon Emissions from Deforestation in Br... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure patterns indicate a growing disparity among households, particularly in rural areas where limited access to essential services exacerbates deprivation levels. Gini coefficients calculated from OLS regression outputs reveal s... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | monitoring practices indicate a significant reliance on the Geospatial Malaria Vector Surveillance Database (GMVSD), produced by the Nigerian Institute of Medical Research, which spans the years 2018-2023. This database facilitates the ... | {
"entities": {
"name": [
"Geospatial Malaria Vector Surveillance Database",
"Localized Insecticide-treated Bed Nets Distribution Records",
"National Malaria Control Program Monitoring and Evaluation Data",
"Geographic Distribution of Malaria Vectors in Nigeria",
"Nigerian Malaria In... |
specificity: named | descriptive | vague usage: primary | supporting | background | the assessment of geospatial forest loss datasets has revealed critical insights into the ongoing deforestation processes in Brazil. Utilizing data from the National Deforestation Monitoring System (NDMS), produced by the Brazilian Inst... | {
"entities": {
"name": [
"National Deforestation Monitoring System",
"Annual Forest Loss Report for the Amazon",
"Satellite Imagery for Forest Cover Change",
"Brazilian Carbon Emission Inventory",
"Geospatial Analysis of Deforestation Trends",
"recent studies on forest degrada... |
specificity: named | descriptive | vague usage: primary | supporting | background | Furthermore, the methodology employed in this research relied heavily on GIS mapping techniques to visualize the interrelations between urban flood corridors and informal settlements across Bangladesh. The analysis included the applicat... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessment of urban flood corridors and informal settlements in Bangladesh utilized a combination of geographic information system (GIS) mapping alongside advanced statistical techniques. The methodology employed an ordinary least squar... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements derived from LiDAR technology offer significant potential for enhancing carbon stock estimation accuracy. By leveraging the Canopy Height and Carbon Stock Assessment (CHCSA) dataset, produced by the Global For... | {
"entities": {
"name": [
"Canopy Height and Carbon Stock Assessment (CHCSA)"
],
"acronym": [
"CHCSA"
],
"producer": [
"Global Forest Monitoring Agency"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to potable water in refugee camps remains a significant challenge, as highlighted by findings from the Kenya Refugee Health and Water Access Assessment 2022 (KRHWA 2022) conducted by the Kenya Ministry of Health. Data from this a... | {
"entities": {
"name": [
"Kenya Refugee Health and Water Access Assessment 2022"
],
"acronym": [
"KRHWA 2022"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping soil moisture levels across varying landscapes has become increasingly reliant on technological advancements, particularly with satellite imagery. The European Space Agency Sentinel-2 Level-1C Imagery (ESA-S2), produced by the E... | {
"entities": {
"name": [
"European Space Agency Sentinel-2 Level-1C Imagery"
],
"acronym": [
"ESA-S2"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"satellite imagery"
],
"specificity": [
"named"... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations utilizing both the Ethiopian National Crop Yield Database (ENCYD) and localized agricultural survey data from North Shewa demonstrate significant potential for enhancing predictive accuracy. The ENCYD, a comprehensive ... | {
"entities": {
"name": [
"Ethiopian National Crop Yield Database",
"localized agricultural survey data from North Shewa"
],
"acronym": [
"ENCYD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"Data... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial analysis of refugee camp layouts revealed significant disparities in water supply access across different zones, with implications for disease monitoring initiatives. Utilizing the Kenya Refugee Health & Water Access Monitoring ... | {
"entities": {
"name": [
"Kenya Refugee Health & Water Access Monitoring System"
],
"acronym": [
"KRHWAMS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | regression analysis revealed significant correlations between multidimensional poverty index (MPI) assessments and household consumption patterns in the region. Utilizing data from the Central America Poverty Assessment Database (CAPAD)... | {
"entities": {
"name": [
"Central America Poverty Assessment Database"
],
"acronym": [
"CAPAD"
],
"producer": [
"Central American Development Agency"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in contrast to other Latin American countries, the nuances of poverty in Colombia are starkly illuminated by the Colombian National Household Survey on Poverty Indicators 2021 (CNHS-PI 2021). This survey, produced by the Departamento Ad... | {
"entities": {
"name": [
"Colombian National Household Survey on Poverty Indicators 2021"
],
"acronym": [
"CNHS-PI 2021"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns among rural households reveal significant disparities in expenditure, highlighting crucial dimensions of deprivation. The insights drawn from the National Sample Survey on Consumption Expenditure (NSSCE) indicate va... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2011-2012"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements from the National LiDAR Dataset for Forest Canopy Height (NLD-FCH) were analyzed alongside the Aerial Canopy Height Survey Data to enhance the precision of carbon stock estimations. The integration of these two datas... | {
"entities": {
"name": [
"National LiDAR Dataset for Forest Canopy Height",
"Aerial Canopy Height Survey Data",
"Forest Carbon Assessment Program",
"LiDAR Derived Height Metrics",
"Global Aerial Survey Data for Ecosystem Monitoring",
"Canopy Height Model Database",
"hist... |
specificity: named | descriptive | vague usage: primary | supporting | background | adequate access to clean water remains critical for disease prevention, especially in the context of the **Kenya Refugee Health Information System (KRHIS)**, a comprehensive system produced by the **Kenyan Ministry of Health** in 2021. ... | {
"entities": {
"name": [
"Kenya Refugee Health Information System (KRHIS)",
"Water Supply Accessibility Assessment in Refugee Camps",
"UNHCR Refugee Camp Data Collection 2020",
"Daily Disease Monitoring Reports for Refugee Camps",
"Kenya Refugee Population Statistics",
"Spatia... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators in Colombia reflect a complex interplay of socioeconomic factors, highlighted by the findings from the Colombian National Household Survey 2021 (CNHS 2021). This survey, produced by the Departamento Administrativo Nac... | {
"entities": {
"name": [
"Colombian National Household Survey 2021"
],
"acronym": [
"CNHS 2021"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | on the basis of previous evaluations, the regression model deployed for analyzing the settlement patterns of refugees in Jordan and Lebanon utilized ordinary least squares (OLS) for parameter estimation. Specifically, the Gini coefficie... | {
"entities": {
"name": []
},
"relations": []
} |
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