input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial analysis revealed significant correlations between water access points and disease incidence in the refugee camps. Specifically, the Kenya Refugee Camp Water Access Survey 2022 (KRCWAS 2022), produced by the United Nations Hi... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2022",
"refugee camp disease monitoring records",
"previously collected health and water supply information"
],
"acronym": [
"KRCWAS 2022"
],
"producer": [
"United Nations High Commissioner for Refugees... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed using a spatial overlay technique, which integrates the Mobile Phone Call Detail Records for Poverty Mapping (MP-CDR) database, produced by the Global Poverty Research Institute in 2021, to correlate wealth index estimations wi... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"MP-CDR"
],
"producer": [
"Global Poverty Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the Jordan Refugee Registration System (JRRS), a system produced by the United Nations High Commissioner for Refugees (UNHCR) covering the timeframe from 2015 to 2023, serves as a foundational element in analyzing ref... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"Lebanon Refugee Settlement Tracking Records",
"refugee demographic survey data",
"UNHCR regional refugee statistics",
"refugee registration information",
"Jordan Comprehensive Refugee Assessment"
],
"acron... |
specificity: named | descriptive | vague usage: primary | supporting | background | from the results derived, the integration of the National LiDAR Initiative 2021 (NLI) database, produced by the U.S. Geological Survey, highlights significant advancements in accurately assessing carbon stock through precise measurement... | {
"entities": {
"name": [
"National LiDAR Initiative 2021",
"Aerial Canopy Height Measurement Survey 2019",
"LiDAR-derived Tree Height Metrics",
"Global Forest Carbon Stock Database 2020",
"aerial photographs of forest canopy",
"National Carbon Inventory Assessment 2022",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | within the context of precision agriculture, the integration of satellite data has proven indispensable. For instance, the Sentinel-2 Soil Moisture Mapping Database (S2SMD) produced by the European Space Agency provides critical insight... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Mapping Database",
"Satellite Imagery for Agricultural Monitoring",
"available remote sensing records"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements provide critical insights into forest structure, directly influencing carbon stock estimations. The integration of aerial canopy height data collected through remote sensing technologies, such as LiDAR, enables a mor... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Database"
],
"acronym": [
"GLCHD"
],
"producer": [
"Earth Observation Institute"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relations... |
specificity: named | descriptive | vague usage: primary | supporting | background | given the complexity of border crossings in Southern Europe, the analysis employs both the Southern European Asylum Seekers Registration Database (SEASRD) and the Border Crossing Flow Survey Data to derive patterns in migration flows. T... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database",
"Border Crossing Flow Survey Data",
"historical records of migration trends"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"dataty... |
specificity: named | descriptive | vague usage: primary | supporting | background | Household consumption patterns in Central America, as evidenced by data from the Central American Household Consumption Survey 2022 (CAHCS 2022), reveal significant insights into the multidimensional poverty landscape. The survey, produ... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2022",
"Multidimensional Poverty Index Assessment Framework",
"National Household Survey on Living Conditions 2021",
"household expenditure tracking data",
"Poverty Assessment and Consumption Patterns Report 202... |
specificity: named | descriptive | vague usage: primary | supporting | background | this perspective is crucial for understanding the intricacies of household dynamics within the region. The Multidimensional Poverty Index (MPI) assessments reveal that while certain areas experience economic growth, there remains a sign... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Assessment 2021"
],
"acronym": [
"CAHCPA 2021"
],
"producer": [
"Central America Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"assessment"
],
"specif... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the Brazilian National Forest Inventory (BNFI), which covers the period from 2010-2020 and is produced by the Brazilian Institute of Geography and Statistics (IBGE), provides a comprehensive baseline for understanding... | {
"entities": {
"name": [
"Brazilian National Forest Inventory",
"Geospatial Analysis of Deforestation Rates",
"National Institute for Space Research (INPE) Deforestation Monitoring System",
"Spatial Forest Cover Loss Assessment",
"Carbon Emissions Inventory for Brazilian Forests",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The analysis employs a spatial overlay approach to elucidate the correlation between the distribution of malaria vectors and the strategic placement of insecticide-treated bed nets (ITNs). Utilizing the Nigeria Malaria Vector Surveillan... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance 2022",
"Geospatial Mapping of Insecticide-Treated Bed Nets",
"Household Insecticide Use Survey 2021",
"localized insecticide distribution records",
"Geo-Referenced Malaria Vector Population Data"
],
"acronym": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | As spatial overlays indicate, the utilization of the UNHCR Jordan Refugee Registration System (UJRS) has been critical in analyzing settlement patterns of displaced populations from 2021-2023. By integrating these system-based insights ... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System",
"refugee settlement monitoring records"
],
"acronym": [
"UJRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | influence of urban flood corridors on informal settlements is evident when examining the data from the Urban Flood Risk Assessment Database (UFRAD) produced by the Bangladesh Department of Disaster Management in 2021. The integration of... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"satellite imagery for urban settlement mapping",
"Historical records of flood events"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Department of Disaster Management"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Analysis of forest loss in Brazil reveals significant trends when juxtaposed with datasets such as the Brazilian Forest Monitoring Project (BFMP), a comprehensive database produced by the Instituto Nacional de Pesquisas Espaciais (INPE)... | {
"entities": {
"name": [
"Brazilian Forest Monitoring Project",
"Geospatial Forest Loss Assessment",
"available records on carbon emissions"
],
"acronym": [
"BFMP"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"20... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments demonstrated significant correlations in the spatial overlay analysis, particularly when juxtaposed with the Urban Flood Vulnerability Assessment Database (UFVAD), produced by the Bangladesh Water Development Board in 2021. ... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Database"
],
"acronym": [
"UFVAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
"assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | In examining the complexities of asylum seeker intake in Germany, data collected from various sources, including the German Asylum Seekers Intake Database (GASID) produced by the Federal Office for Migration and Refugees (BAMF) for the ... | {
"entities": {
"name": [
"German Asylum Seekers Intake Database",
"Administrative Records of Refugee Applications",
"Asylum Processing Times Report 2021",
"Refugee Registration and Tracking System",
"Historical Asylum Seeker Records",
"Current Intake Statistics for Asylum Seek... |
specificity: named | descriptive | vague usage: primary | supporting | background | carbon stock estimation relies heavily on accurate canopy height data, which can be effectively captured through technologies such as LiDAR. The Aerial Canopy Height Measurement Database (ACHMD), produced by the National Forest Inventor... | {
"entities": {
"name": [
"Aerial Canopy Height Measurement Database"
],
"acronym": [
"ACHMD"
],
"producer": [
"National Forest Inventory Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Welfare assessments in Colombia reveal significant disparities in social safety nets coverage, particularly in rural areas where poverty indicators demonstrate acute vulnerability. Data derived from the Colombian National Household Surv... | {
"entities": {
"name": [
"Colombian National Household Survey on Socioeconomic Indicators"
],
"acronym": [
"CNHS-SI"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analyses indicated a significant correlation between the increase in carbon emissions and the rate of forest loss, particularly within the Brazilian context. The Brazilian Forest Loss Assessment Database (BFLAD), produced by the... | {
"entities": {
"name": [
"Brazilian Forest Loss Assessment Database"
],
"acronym": [
"BFLAD"
],
"producer": [
"Brazilian Institute of Geography and Statistics (IBGE)"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"Database"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the findings from the mapping exercise revealed significant correlations between the mapped flood impact records and vulnerable areas identified in the Flood Vulnerability Assessment Database (FVAD) produced by the Bangladesh Water Deve... | {
"entities": {
"name": [
"Flood Vulnerability Assessment Database",
"Urban Settlement Satellite Imagery",
"mapped flood impact records"
],
"acronym": [
"FVAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021",
"2019-20... |
specificity: named | descriptive | vague usage: primary | supporting | background | regional trends in refugee movements are critical for understanding the dynamics of displacement in the Middle East. For instance, the Jordan Refugee Registration System (JRRS), a system produced by UNHCR, has been instrumental from 201... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"Refugee Settlement Patterns in Lebanon",
"historical records of refugee movements"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR",
"UNHCR"
],
"timeframe": [
"2015-2023",
"2020-... |
specificity: named | descriptive | vague usage: primary | supporting | background | wealth index estimations derived from mobile phone usage can be significantly enhanced through the application of innovative datasets such as the Mobile Phone Call Detail Records for Poverty Assessment (MPCDR-PA), which is a comprehensi... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | coverage of social safety nets in Colombia has been a critical area of evaluation, particularly through the lens of the Colombian National Socioeconomic Survey 2021 (ENS 2021)1. The ENS 2021, produced by the National Department of Stati... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey 2021",
"poverty assessment metrics for rural households"
],
"acronym": [
"ENS 2021"
],
"producer": [
"National Department of Statistics of Colombia"
],
"timeframe": [
"2021"
],
"datatyp... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimate carbon stocks is critical for effective climate change mitigation. Utilizing high-resolution data, the National Aerial LiDAR and Canopy Height Measurement Database (NALCHMD), produced by the National Oceanic and Atmospheric Adm... | {
"entities": {
"name": [
"National Aerial LiDAR and Canopy Height Measurement Database"
],
"acronym": [
"NALCHMD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2015-2020"
],
"datatype": [
"Database"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements, utilized alongside the National LiDAR Inventory for Carbon Stock Assessment (NLICSA), provide essential insights into spatial variability and carbon stock estimation. The NLICSA, produced by the National Fore... | {
"entities": {
"name": [
"National LiDAR Inventory for Carbon Stock Assessment",
"Aerial Canopy Height Measurements for Ecological Studies",
"historical aerial imagery and canopy height data"
],
"acronym": [
"NLICSA"
],
"producer": [
"National Forest Service"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the interrelation among poverty indicators and welfare assessments highlights significant disparities in social safety nets coverage across Colombia. Recent findings from the "Colombian Social Protection Survey 2021" (CSPS 2021), produc... | {
"entities": {
"name": [
"Colombian Social Protection Survey 2021",
"Household poverty measurement survey data",
"Social Safety Nets Monitoring Report 2022",
"Welfare Assessment Program records",
"comprehensive socio-economic data available"
],
"acronym": [
"CSPS 2021"... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized interventions have been facilitated through the findings from the National Survey on Malaria Vector Dynamics and Insecticide Distribution in Nigeria (NSMVDIDN), a comprehensive survey produced by the Nigerian Ministry of Healt... | {
"entities": {
"name": [
"National Survey on Malaria Vector Dynamics and Insecticide Distribution in Nigeria",
"geospatial mapping of malaria vector habitats and insecticide-treated bed net coverage"
],
"acronym": [
"NSMVDIDN"
],
"producer": [
"Nigerian Ministry of Health"... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased granularity of administrative records reveals significant variations in processing times among different regional offices. The analysis leveraged the German Asylum Seeker Registration Database (GASRD), a comprehensive database... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"prim... |
specificity: named | descriptive | vague usage: primary | supporting | background | aspects of the analysis focused on spatial patterns of deforestation in Brazil, leveraging the Brazilian Forest Cover Change Database (BFCCDB), produced by the Instituto Nacional de Pesquisas Espaciais (INPE) from 2010-2021. The geospat... | {
"entities": {
"name": [
"Brazilian Forest Cover Change Database"
],
"acronym": [
"BFCCDB"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2021"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | not only does the vegetation index, specifically NDVI, provide critical insights into crop health and potential yields, but it is significantly enhanced when combined with localized data. A comprehensive analysis utilizing the Ethiopian... | {
"entities": {
"name": [
"Ethiopian National Crop Yield Survey 2022"
],
"acronym": [
"ENCS 2022"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrates a clear increase in border crossings, particularly among asylum seekers in Southern Europe, as evidenced by the Southern European Asylum Seekers Registration Database (SEASRD). This database, produced by the European Migrat... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Migration Network"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates of carbon stocks can be significantly refined using high-resolution data sources like the Global LiDAR Canopy Height Database (GLCHD), a comprehensive database produced by the National Oceanic and Atmospheric Administration (N... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Database",
"Aerial Canopy Height Measurement Data"
],
"acronym": [
"GLCHD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"datatype": [
"Database",
"survey"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | emissions continue to be a significant concern for environmental policies in Brazil, particularly with data derived from the Brazilian Deforestation Monitoring Project (BDMP), which provides comprehensive reports produced by the Institu... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Project",
"Geospatial Forest Loss Assessment",
"recent studies on carbon emissions in forested areas"
],
"acronym": [
"BDMP"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | consideration of the spatial overlay analysis revealed that the identified flood corridors significantly intersect with several informal settlements across urban areas. The Urban Flood Risk Assessment Database (UFRAD), produced by the B... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Informal Settlement Mapping Reports"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2022"
],
"datatype": [
"Database",
"Rep... |
specificity: named | descriptive | vague usage: primary | supporting | background | Results from the analysis indicated that the incorporation of the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), produced by the European Space Agency, significantly improved the accuracy of soil moisture estimations. This databa... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"Satellite Imagery for Agricultural Monitoring",
"recent agricultural monitoring information"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping deforestation through advanced geospatial techniques reveals critical insights into forest loss and associated carbon emissions in Brazil. Analysis utilizing the Brazilian Deforestation Monitoring System (BDMS), produced by the ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2022"
],
"datatype": [
"System"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the trends in poverty indicators within Colombia, particularly as revealed by the Colombian Household Welfare Survey 2022 (CHWS), indicate significant shifts in economic stability for various demographic groups. DANE (Departamento Admin... | {
"entities": {
"name": [
"Colombian Household Welfare Survey 2022",
"poverty assessment records"
],
"acronym": [
"CHWS"
],
"producer": [
"DANE (Departamento Administrativo Nacional de Estadística)"
],
"timeframe": [
"2022"
],
"datatype": [
"Surv... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake trends revealed by the Bundesamt für Migration und Flüchtlinge Asylum Intake Database (BAMF-AID), which tracks asylum seeker entries from 2015-2023, indicate a significant increase in applications relative to the prior period. Co... | {
"entities": {
"name": [
"Bundesamt für Migration und Flüchtlinge Asylum Intake Database",
"Administrative Refugee Processing Records",
"Asylum Seeker Registration Assessment",
"Monthly Intake Statistics for Refugees",
"Refugee Processing Times Overview",
"Germany Refugee Regi... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns exhibit a concerning deviation from the expected norms, as indicated by the Gini coefficient analysis which suggests a rising income inequality among the rural population¹. Implementing an Ordinary Least Squares (OL... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets are critical in the fight against malaria, particularly when linked with geospatial tracking of malaria vectors. The Nigeria Malaria Vector Surveillance Program 2022 (NMVSP), produced by the Nation... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2022",
"Geospatial Insecticide Distribution Records",
"National Malaria Control Survey 2021",
"Mapping of Insecticide-treated Bed Net Coverage",
"available records on malaria vector control measures"
],
"a... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation accuracy is significantly enhanced through the integration of multiple data sources. By utilizing the **Normalized Difference Vegetation Index (NDVI) Satellite Imagery**, which provides vital insights into vegetation health, ... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2022",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Ethiopian Crop Monitoring Database",
"Localized Agricultural Survey Data",
"NDVI time series records",
"Ethiopian Crop Yield Assessment Report 202... |
specificity: named | descriptive | vague usage: primary | supporting | background | In assessing the efficacy of refugee settlement tracking systems in the Middle East, particular emphasis is placed on the Jordan Refugee Registration System (JRRS), a comprehensive database produced by the United Nations High Commission... | {
"entities": {
"name": [
"Jordan Refugee Registration System"
],
"acronym": [
"JRRS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"system"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Asylum seekers navigating the perilous routes through Southern Europe have led to significant shifts in migration flows, particularly evident in data from the Southern European Asylum Seekers Registration System (SEAR)¹. This comprehens... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System"
],
"acronym": [
"SEAR"
],
"producer": [
"European Migration Agency"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis of the asylum seeker intake tracking was hindered by the limited scope of administrative refugee records, which failed to provide comprehensive insights into processing times in Germany. Specifically, the Ordinary Least Squares... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis reveals significant variations in consumption patterns among rural households, as evidenced by the National Family Health Survey - 5 (NFHS-5). Conducted by the Ministry of Health and Family Welfare, Government of India, thi... | {
"entities": {
"name": [
"National Family Health Survey - 5"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns in rural India exhibit significant variations across demographics, which can be elucidated through spatial overlay analysis of the National Sample Survey on Consumption Expenditure (NSSCE). Conducted by the Ministry... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Household Consumption Expenditure Survey Data",
"historical records regarding rural consumption"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementati... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty levels necessitates robust data sources, where mobile phone usage can provide unique insights. The integration of mobile phone Call Detail Records for Poverty Analysis (CDR-Poverty), a comprehensive database produced by ... | {
"entities": {
"name": [
"mobile phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"CDR-Poverty"
],
"producer": [
"Global Mobile Data Initiative"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | maps have demonstrated significant correlations between flood-prone areas and the locations of informal settlements across urban landscapes in Bangladesh. The findings from the Bangladesh Urban Flood Vulnerability Assessment 2022 (BUFVA... | {
"entities": {
"name": [
"Bangladesh Urban Flood Vulnerability Assessment 2022",
"Satellite Imagery for Urban Flood Mapping",
"Informal Settlement Survey Data 2021",
"Geospatial Analysis of Flood-prone Areas",
"available records on urban infrastructure and flood risks"
],
"a... |
specificity: named | descriptive | vague usage: primary | supporting | background | of the structural equation modeling, the Colombian National Household Survey (ENH) 2021, produced by DANE - Departamento Administrativo Nacional de Estadística, was utilized to examine the interrelations among poverty indicators and soc... | {
"entities": {
"name": [
"Colombian National Household Survey (ENH) 2021",
"Social Welfare Assessment Framework"
],
"acronym": [
"ENH"
],
"producer": [
"DANE - Departamento Administrativo Nacional de Estadística"
],
"timeframe": [
"2021"
],
"datatype"... |
specificity: named | descriptive | vague usage: primary | supporting | background | in Central America, the evaluation of poverty levels is often informed by various surveys and assessments designed to capture the nuances of household well-being. The Central America Multidimensional Poverty Index Survey 2021 (CAMPI 202... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2021",
"household consumption expenditure survey data",
"Household Poverty Assessment Records",
"annual poverty and consumption statistics",
"National Household Survey on Living Conditions 2020",
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | further highlighted by the findings from the Central American Poverty Assessment Survey (CAPAS) conducted in 2021, which provides critical insights into the interdependencies of multidimensional poverty and consumption patterns across t... | {
"entities": {
"name": [
"Central American Poverty Assessment Survey",
"household consumption expenditure survey data"
],
"acronym": [
"CAPAS"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey",
"Survey"
],
"specificity": [
"named",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Multidimensional poverty assessments in Central America have increasingly relied on various measures to evaluate household consumption patterns, particularly in light of the findings from the Central America MPI Household Consumption Su... | {
"entities": {
"name": [
"Central America MPI Household Consumption Survey 2021"
],
"acronym": [
"CAMPI-HCS 2021"
],
"producer": [
"Central America Poverty Assessment Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | extracted from mobile phone CDR records has been increasingly recognized for its potential in poverty mapping and wealth index estimations. The Mobile Phone CDR Wealth Index Assessment (MPCDR-WIA), produced by the Institute for Mobile D... | {
"entities": {
"name": [
"Mobile Phone CDR Wealth Index Assessment",
"CDR-Enabled Poverty Mapping Survey Data",
"historical wealth estimations records"
],
"acronym": [
"MPCDR-WIA"
],
"producer": [
"Institute for Mobile Data Research"
],
"timeframe": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking reveals significant spatial variation in malaria vector distribution across Nigeria, particularly in regions where coverage of insecticide-treated bed nets is suboptimal. The Nigerian Malaria Vector Surveillance Data... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"geospatial tracking of insecticide-treated bed nets coverage"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2018-2023"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | infrastructure considerations must be aligned with findings from the Kenya Refugee Camp Water Supply Assessment (KRCWSA), which provides a comprehensive overview of water access in the camps. This assessment, produced by the Kenya Minis... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessments of multidimensional poverty in Central America reveal significant disparities in household well-being, particularly when analyzed alongside household consumption expenditure survey data. The Central American Multidimensional... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Survey 2021",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPI 2021"
],
"producer": [
"Inter-American Development Bank"
],
"timeframe": [
"2021"
],
"dataty... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial overlay analysis was performed using data from the National Malaria Vector Surveillance Database (NMVSD), a comprehensive database produced by the Nigeria Ministry of Health covering the timeframe from 2021 to 2023. This ena... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Database",
"geospatial household insecticide-treated net usage survey data"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Health"
],
"datatype": [
"Database",
"survey"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | the prevalence of poverty in Colombia, as highlighted by the Colombian National Household Survey 2021 (CNHS 2021), indicates that socioeconomic disparities continue to challenge welfare assessments across the nation. This survey, produc... | {
"entities": {
"name": [
"Colombian National Household Survey 2021",
"Social Safety Nets Coverage Assessment",
"Living Conditions Measurement Survey (Mediciones de Condiciones de Vida)",
"Poverty and Inequality Statistics",
"Colombia Social Protection Information System",
"Wel... |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly enhance the accuracy of wealth index estimations through the application of spatial overlay analysis. The integration of Mobile Phone Call Detail Records for Poverty Assessment (MPCDR-PA), a database produced by the Global... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"Mobile Network Operator CDR Records for Socioeconomic Studies"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"Global Mobile Data Initiative"
],
"timeframe": [
"2021-2022"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | to facilitate efficient monitoring, the UNHCR Jordan and Lebanon Refugee Registration System (UJLRRS) serves as a critical database that captures vital information about refugee populations across both countries. Developed by the United... | {
"entities": {
"name": [
"UNHCR Jordan and Lebanon Refugee Registration System"
],
"acronym": [
"UJLRRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | deployed innovative techniques to utilize mobile phone Call Detail Records (CDRs) for spatial poverty mapping. The Mobile Phone Call Detail Records for Poverty Analysis (CDR-Poverty) database produced by the Global Mobile Data Initiativ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"CDR-Poverty"
],
"producer": [
"Global Mobile Data Initiative"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primar... |
specificity: named | descriptive | vague usage: primary | supporting | background | surveillance of socio-economic conditions can be greatly enhanced through innovative techniques involving mobile technology. The integration of the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), a database produced by th... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile-based Household Wealth Index Estimation Records"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Data Initiative"
],
"timeframe": [
"2019-2021"
],
"datatype": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | Accessibility to clean water within refugee camps is critical for both health and stability, necessitating effective spatial planning strategies that account for geographic and infrastructural variations. The Kenya Refugee Camp Water Su... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"Spatial Mapping of Refugee Camp Infrastructure",
"Nairobi Refugee Health Monitoring Database",
"Refugee Camp Disease Surveillance System",
"Refugee Settlement Patterns and Water Access Records",
"Kenya Nat... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the Central American Multidimensional Poverty Assessment Survey (CAMPA) indicate a significant correlation between multidimensional poverty and household consumption patterns across various demographics. The CAMPA... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Assessment Survey",
"household consumption expenditure survey data",
"available consumption records"
],
"acronym": [
"CAMPA"
],
"producer": [
"Central American Institute for Fiscal Studies"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The multidimensional poverty index (MPI) assessments reveal significant correlations between economic stability and household consumption patterns in Central America. In particular, the findings from the Central America Poverty Assessme... | {
"entities": {
"name": [
"Central America Poverty Assessment Survey 2022"
],
"acronym": [
"CAPAS 2022"
],
"producer": [
"Central American Development Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimations across regions utilize a sophisticated spatial overlay analysis, integrating the Mobile Phone Call Detail Records for Poverty Assessment (MPCDR-PA), a database produced by the International Telecommunications Union for the t... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"International Telecommunications Union"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates that between 2015 and 2023, the German Asylum Seeker Registration Database (GASRD), a comprehensive database produced by the Federal Office for Migration and Refugees, captures critical metrics related to asylum seeker intake ... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments illustrate a complex interaction between poverty indicators and social safety nets coverage in Colombia. Notably, the Sistema de Información de la Protección Social (SIPS) database, produced by the Ministerio de Salud y Prot... | {
"entities": {
"name": [
"Sistema de Información de la Protección Social (SIPS)"
],
"acronym": [
"SIPS"
],
"producer": [
"Ministerio de Salud y Protección Social de Colombia"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | the efficacy of localized insecticide-treated bed nets (ITNs) in Nigeria can be enhanced by understanding the spatial dynamics of malaria vectors. Recent data from the Geospatial Malaria Vector Surveillance Database (GMVSD) indicates a ... | {
"entities": {
"name": [
"Geospatial Malaria Vector Surveillance Database"
],
"acronym": [
"GMVSD"
],
"producer": [
"National Malaria Control Programme (NMCP) Nigeria"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the role of geospatial forest loss assessment data is critical in understanding carbon emissions linked to deforestation practices in Brazil. Recent analyses using the Brazilian Deforestation Monitoring Database (BDMD) have shown that t... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Database",
"geospatial forest loss assessment data"
],
"acronym": [
"BDMD"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"Database",
"assessment"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure trends indicate a significant variance across different rural demographics, affecting the Gini coefficient as a measure of income inequality. Using ordinary least squares (OLS) regression, the analysis incorporates various i... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Soil moisture levels are critical for understanding crop health and optimizing irrigation practices. High-resolution imagery provided by satellite systems enables precise mapping of these parameters, facilitating informed agricultural d... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring System"
],
"acronym": [
"S2SMS"
],
"producer": [
"European Space Agency"
],
"datatype": [
"system"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relations"... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing pressure on border management systems across the region. The Southern European Asylum Seekers Registration Database (SEASRD), produced by the European Union Agency for Asylum, provides crucial insights into the registration p... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database",
"Border Crossing and Migration Flow Statistics"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"Database",
"report"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements derived from LiDAR technology provide critical insights into carbon stock estimation in forest ecosystems. The National Aerial LiDAR Canopy Height Database (NALCHD), produced by the National Oceanic and Atmosp... | {
"entities": {
"name": [
"National Aerial LiDAR Canopy Height Database"
],
"acronym": [
"NALCHD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Database"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis revealed significant correlations between mobility patterns captured in the Mobile Phone Call Detail Records for Socioeconomic Analysis (MPCDR-SEA) database, produced by the Global Telecommunication Monitoring Agency during... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Geo-referenced Household Wealth Index Estimation Data"
],
"acronym": [
"MPCDR-SEA"
],
"producer": [
"Global Telecommunication Monitoring Agency"
],
"timeframe": [
"2021-2... |
specificity: named | descriptive | vague usage: primary | supporting | background | The analysis of refugee demographics reveals critical insights regarding the ongoing situation in Jordan and Lebanon. The UNHCR Refugee Registration and Settlement Database (UNHCR-RRSD), a comprehensive database maintained by the United... | {
"entities": {
"name": [
"UNHCR Refugee Registration and Settlement Database"
],
"acronym": [
"UNHCR-RRSD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usa... |
specificity: named | descriptive | vague usage: primary | supporting | background | Regression analysis of the Sentinel-2 Soil Moisture Monitoring Dataset 2022 (SSMMD-22) reveals significant correlations between soil moisture levels and crop yield metrics, as indicated by spatial overlay techniques applied within the d... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Dataset 2022",
"Satellite Imagery for Agricultural Monitoring",
"historical satellite imagery records"
],
"acronym": [
"SSMMD-22"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, the challenges of poverty indicators and the adequacy of welfare assessments have become focal points for understanding social safety nets coverage in Colombia. The National Socioeconomic Survey (ENSE) produced by the Nati... | {
"entities": {
"name": [
"National Socioeconomic Survey (ENSE)",
"Household Welfare Assessment Data",
"Colombian Poverty Indicators Report",
"Social Safety Nets Coverage Data",
"Poverty and Inequality Monitoring System (SIMCI)",
"collected records of welfare programs"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | with respect to these factors, an Ordinary Least Squares (OLS) regression model was employed to explore the spatial dynamics of urban flood corridors in relation to informal settlement areas. The analysis incorporated variables such as ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Analysis of IDP settlements in Yemen reveals critical insights drawn from the Yemen IDP Location Tracking Database (YILTD), which serves as a comprehensive repository of data collated by the Yemen Humanitarian Response Coalition between... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"IDP Registration and Assistance Records",
"recently collected information"
],
"acronym": [
"YILTD"
],
"producer": [
"Yemen Humanitarian Response Coalition",
"United Nations High Commissioner for ... |
specificity: named | descriptive | vague usage: primary | supporting | background | while assessing the implications of spatial planning on health outcomes in refugee camps, the correlation between water supply access and disease incidence becomes crucial. Utilizing the Kenya Refugee Camp Water Access Database (KRCWAD)... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Database",
"spatial distribution of disease incidence reports in refugee camps"
],
"acronym": [
"KRCWAD"
],
"producer": [
"Kenya Water and Sanitation Authority"
],
"timeframe": [
"2022"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | carbon emissions correlate closely with deforestation rates, as evident from the Brazilian Amazon Deforestation Monitoring Database (BADMD), a database produced by the Instituto Nacional de Pesquisas Espaciais (INPE) spanning the timefr... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring Database",
"Geospatial Forest Loss Assessment Data",
"recently collected satellite imagery"
],
"acronym": [
"BADMD"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements play a crucial role in estimating carbon stocks across various ecosystems. Utilizing the National LiDAR Dataset for Carbon Estimation (NLDC), a comprehensive database produced by the National Oceanic and Atmos... | {
"entities": {
"name": [
"National LiDAR Dataset for Carbon Estimation",
"Aerial Canopy Height Measurement Records",
"available records from remote sensing studies"
],
"acronym": [
"NLDC"
],
"producer": [
"National Oceanic and Atmospheric Administration"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of asylum seeker intake in Germany reveals significant discrepancies in processing times, as indicated by the Asylum Seeker Intake Database (ASID), a comprehensive database maintained by the Federal Office for Migration and... | {
"entities": {
"name": [
"Asylum Seeker Intake Database"
],
"acronym": [
"ASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlay analysis using the Kenya Refugee Camp Water and Sanitation Assessment 2021 (KRCWSA) dataset provides critical insights into the relationship between water supply access and disease incidence in Kenyan refugee camps. The ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water and Sanitation Assessment 2021"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | access points identified in the Kenya Refugee Camp Water Access Survey 2021 (KRCWAS 2021) reveal significant disparities in water supply availability across various camp sectors. According to the survey, produced by the United Nations H... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2021",
"refugee health and disease monitoring records",
"recently collected health surveillance information"
],
"acronym": [
"KRCWAS 2021"
],
"producer": [
"United Nations High Commissioner for Refugees... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty through advanced methodologies leverages various data sources, including a significant reliance on mobile technology. Notably, the analysis employs mobile phone call detail records for poverty analysis, which provide ins... | {
"entities": {
"name": [
"National Mobile Phone Usage Survey 2022",
"mobile phone call detail records for poverty analysis"
],
"acronym": [
"NMPUS 2022"
],
"producer": [
"Mobile Communications Regulatory Authority"
],
"timeframe": [
"2022"
],
"datatyp... |
specificity: named | descriptive | vague usage: primary | supporting | background | satellite imagery for agricultural monitoring is crucial for enhancing the efficiency of soil moisture assessments. By utilizing the Sentinel-2 Soil Moisture Monitoring Dataset (S2SMD), researchers have been able to derive valuable insi... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Dataset",
"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 integration of localized insecticide-treated bed nets (ITNs) within high transmission zones demonstrates significant potential in reducing malaria incidences. Particularly, the Nigeria Malaria Vector Surveillance Database (NMVSD), a... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure patterns revealed by the National Sample Survey on Consumption Expenditure (NSSCE) indicate significant discrepancies in resource allocation among rural households. The survey, conducted during the 2018-2019 period and produ... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2018-2019"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracked through the UNHCR Jordan Refugee Registration System (UJRS), a comprehensive database produced by the United Nations High Commissioner for Refugees between 2021 and 2023, which provides critical insights into the demographic shi... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System",
"Refugee Settlement Tracking Records",
"historical records of refugee demographics"
],
"acronym": [
"UJRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the humanitarian landscape necessitates a robust framework for tracking the movements and needs of internally displaced persons (IDPs). The Yemen IDP Location Tracking Database (YIDP-LTD), produced by the Yemen Humanitarian Coordination... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Displacement Monitoring Survey Data in Yemen",
"available information on IDP distributions",
"Humanitarian Assistance Needs Assessment for IDPs"
],
"acronym": [
"YIDP-LTD",
"HANAI"
],
"producer":... |
specificity: named | descriptive | vague usage: primary | supporting | background | the relationship between mobility patterns and socio-economic status can be effectively modeled using the Mobile Phone Call Detail Records for Poverty Assessment (MP-CDR-PA), a comprehensive database produced by the Global Mobile Techno... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"Wealth Index Estimation Survey Data",
"recently collected mobile network usage records"
],
"acronym": [
"MP-CDR-PA"
],
"producer": [
"Global Mobile Technology Initiative"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of spatial planning in refugee camps plays a crucial role in optimizing access to essential resources, such as water supply and healthcare facilities. Recent analyses have highlighted the importance of databases like the... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2022",
"camp-based disease monitoring records"
],
"acronym": [
"KRCWAS 2022"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datatyp... |
specificity: named | descriptive | vague usage: primary | supporting | background | the relationship between household consumption patterns and the multidimensional poverty index has been increasingly scrutinized in recent years. The Central America Multidimensional Poverty Index Assessment 2021 (CAMPIA 2021), produced... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2021"
],
"acronym": [
"CAMPIA 2021"
],
"producer": [
"United Nations Development Programme (UNDP)"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, the analysis of consumption expenditure in rural regions can be informed by detailed survey datasets such as the National Sample Survey on Household Consumption Expenditure (NSS-CE), which provides comprehensive data colle... | {
"entities": {
"name": [
"National Sample Survey on Household Consumption Expenditure",
"Rural Household Consumption Expenditure Survey Data"
],
"acronym": [
"NSS-CE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"ti... |
specificity: named | descriptive | vague usage: primary | supporting | background | vulnerability assessments have highlighted significant risks associated with urban flood corridors, particularly in informal settlements throughout Bangladesh. The integration of GIS mapping has allowed for a detailed visualization of t... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Database"
],
"acronym": [
"UFVAD"
],
"producer": [
"Bangladesh Disaster Management Authority"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Registration efforts have become crucial in managing the ongoing influx of refugees in the region, particularly through the UNHCR Refugee Registration Database - Jordan and Lebanon (URRDL). This comprehensive database, produced by the U... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database - Jordan and Lebanon"
],
"acronym": [
"URRDL"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators in Colombia are increasingly being scrutinized, particularly in light of findings from the Colombian National Socioeconomic Survey 2022 (CNSES), produced by DANE (National Administrative Department of Statistics). The... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey 2022"
],
"acronym": [
"CNSES"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized assessments often incorporate the Ethiopian Agricultural Survey 2021 (EAS 2021) to establish baseline agronomic conditions across various regions. The survey, produced by the Ethiopian Central Statistical Agency, provides cruc... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2021",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Ethiopian Crop Yield Monitoring Program",
"Localized Agricultural Household Surveys",
"Agricultural Production Assessment Reports",
"Ethiopia Sate... |
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