input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | poverty mapping methodologies leveraging mobile technology offer a promising approach to understanding socioeconomic conditions. Recent analyses indicate that the integration of Mobile Phone Call Detail Records for Poverty Assessment (M... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"Global Mobile Data Initiative"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of rural consumption patterns heavily relies on datasets that offer comprehensive insights into expenditure and deprivation. For instance, the National Sample Survey on Consumption Expenditure (NSSCE), produced by the Minis... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Household Consumption Expenditure Survey Data",
"Indian Rural Deprivation Assessment 2021",
"Rural Household Income and Expenditure Reports",
"available records of rural consumption patterns",
"Stat... |
specificity: named | descriptive | vague usage: primary | supporting | background | reduction in forest cover has profound implications for carbon emissions, particularly as evidenced by the extensive analyses conducted using the National Forest Monitoring System of Brazil (NFMS-BR) database, produced by the Brazilian ... | {
"entities": {
"name": [
"National Forest Monitoring System of Brazil",
"geospatial satellite imagery for forest cover assessment"
],
"acronym": [
"NFMS-BR"
],
"producer": [
"Brazilian Institute of Geography and Statistics (IBGE)"
],
"timeframe": [
"2015-2023... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to adequate water supply in refugee camps directly influences both health outcomes and the potential for disease outbreaks. In particular, the **Kenya Refugee Camps Water Supply Assessment 2022** (KRCWSA) produced by the **Kenya ... | {
"entities": {
"name": [
"Kenya Refugee Camps Water Supply Assessment 2022"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water Authority"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking of refugees in Jordan has relied heavily on the Jordan Refugee Registration Database (JRRD), a comprehensive database produced by UNHCR, covering the timeframe from 2021 to 2023. This system allows for efficient management of r... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records",
"collected records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database",
"R... |
specificity: named | descriptive | vague usage: primary | supporting | background | rural populations face distinct challenges regarding consumption patterns, as evidenced by the findings from the National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Programme Implementat... | {
"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 | Achieving accurate poverty mapping is enhanced through the utilization of innovative data sources. The Mobile Phone Call Detail Records for Poverty Mapping (MPCDR-PM), a database produced by the National Bureau of Statistics for the tim... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"MPCDR-PM"
],
"producer": [
"National Bureau of Statistics"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity": [
"na... |
specificity: named | descriptive | vague usage: primary | supporting | background | coordinates from the Jordan Refugee Registration and Settlement Database (JRRSD) revealed significant spatial clustering of refugee populations across urban and rural areas in Jordan and Lebanon. The database, produced by the United Nat... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement Database"
],
"acronym": [
"JRRSD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage":... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis of the geospatial tracking of malaria vectors reveals critical insights into the effectiveness of localized interventions. The Malaria Vector Surveillance Database Nigeria 2021 (MVSN21), produced by the National Malaria... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database Nigeria 2021"
],
"acronym": [
"MVSN21"
],
"producer": [
"National Malaria Elimination Program"
],
"timeframe": [
"2021"
],
"datatype": [
"Database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial distribution of internally displaced persons (IDPs) across Yemen presents significant challenges for effective humanitarian response. Utilizing the Yemen IDP Location and Needs Assessment 2022 (YILNA 2022) produced by the Un... | {
"entities": {
"name": [
"Yemen IDP Location and Needs Assessment 2022"
],
"acronym": [
"YILNA 2022"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | with the increase in population density, effective refugee camp spatial planning becomes crucial, especially in regards to water supply access. The Kenya Refugee Camp Water Supply Monitoring Database (KRCWSMD), produced by the Kenyan Mi... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Monitoring Database"
],
"acronym": [
"KRCWSMD"
],
"producer": [
"Kenyan Ministry of Water and Irrigation"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"pr... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized patterns of insecticide-treated bed net distribution are crucial for evaluating malaria prevention efforts in Nigeria. Recent analyses revealed that areas with comprehensive data from the Integrated Vector Management Database ... | {
"entities": {
"name": [
"Integrated Vector Management Database for Malaria Control in Nigeria"
],
"acronym": [
"IVM-MCN"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption expenditure patterns in rural India exhibit a significant relationship with deprivation indicators, particularly when analyzing data from the National Rural Livelihoods Mission Household Expenditure Survey (NRLM-HES). Produc... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Household Expenditure Survey"
],
"acronym": [
"NRLM-HES"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | observed substantial variations in carbon emissions as indicated by the geospatial analysis of deforestation rates in Brazil, particularly when overlaying data from the Brazilian Forest Cover Change Database (BFCCDB). This database, pro... | {
"entities": {
"name": [
"Brazilian Forest Cover Change Database"
],
"acronym": [
"BFCCDB"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2020"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators illustrate a significant correlation between poverty levels and the extent of coverage provided by social safety nets in Colombia. Analysis of the Colombian National Survey on Quality of Life 2021 (CNQOL 2021), a comprehensiv... | {
"entities": {
"name": [
"Colombian National Survey on Quality of Life 2021"
],
"acronym": [
"CNQOL 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specifi... |
specificity: named | descriptive | vague usage: primary | supporting | background | utilized to derive robust regression models for assessing carbon stock, particularly through the integration of LiDAR and aerial canopy height data. The National LiDAR Data Collection Program (NLDCP), produced by the U.S. Geological Sur... | {
"entities": {
"name": [
"National LiDAR Data Collection Program",
"Aerial Canopy Height Measurement Survey Data",
"historical aerial imagery"
],
"acronym": [
"NLDCP"
],
"producer": [
"U.S. Geological Survey"
],
"datatype": [
"database",
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | urban areas, the utility of Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA) proves instrumental in enhancing poverty mapping efforts. By leveraging this database, produced by the International Telecommunication Uni... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"mobile phone usage patterns in poverty mapping"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": [
"2021-2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | welfare assessments are often complicated by the multifaceted nature of poverty indicators, with regression models frequently employed to disentangle these relationships. The Ordinary Least Squares (OLS) approach provides estimates that... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | limited understanding of the statistical implications underlying the asylum seeker intake tracking can complicate administrative refugee records management. The regression models utilized, such as ordinary least squares (OLS), often fai... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | employing a spatial overlay analysis to enhance the precision of carbon stock estimates across various forest types. The regression models leveraged the National Aerial LiDAR Database for Carbon Stock Assessment (NALD-CSA), a comprehens... | {
"entities": {
"name": [
"National Aerial LiDAR Database for Carbon Stock Assessment",
"Aerial Canopy Height Measurement Survey Data"
],
"acronym": [
"NALD-CSA"
],
"producer": [
"Environmental Data Initiative"
],
"timeframe": [
"2018-2021"
],
"datatyp... |
specificity: named | descriptive | vague usage: primary | supporting | background | water supply access in refugee camps is crucial for effective spatial planning and disease monitoring. The Kenya Refugee Monitoring and Water Access Assessment (KRM-WAA) provides an essential framework for understanding these dynamics. ... | {
"entities": {
"name": [
"Kenya Refugee Monitoring and Water Access Assessment"
],
"acronym": [
"KRM-WAA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"speci... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements derived from the National LiDAR Inventory Program (NLIP) provide crucial insights into the estimation of carbon stocks across various ecosystems. The NLIP database, produced by the National Oceanic and Atmosph... | {
"entities": {
"name": [
"National LiDAR Inventory Program",
"Aerial Canopy Height Measurement Records",
"Recent forest canopy studies"
],
"acronym": [
"NLIP"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns among rural households can be gleaned from various datasets that encapsulate expenditure and deprivation metrics. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption Expenditure Survey Data",
"Integrated Household Survey on Poverty and Expenditure",
"available consumption expenditure records",
"Rural Socioeconomic Survey Data"
],
"a... |
specificity: named | descriptive | vague usage: primary | supporting | background | the landscape of Brazil has been markedly altered, as evidenced by the Brazilian Deforestation Monitoring System (BDMS), a comprehensive system produced by the Instituto Nacional de Pesquisas Espaciais (INPE) from 2010-2023, which illus... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"Satellite Imagery for Forest Cover Assessment",
"available records on carbon emissions from land use changes"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (IN... |
specificity: named | descriptive | vague usage: primary | supporting | background | the control variables included in the regression models were derived from the National Family Health Survey (NFHS) 2019-20, a comprehensive survey conducted by the Ministry of Health and Family Welfare, Government of India. Specifically... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019-20"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlay analyses reveal significant correlations between the presence of localized insecticide-treated bed nets and malaria vector populations as indicated by the Geospatial Mapping of Malaria Vectors in Nigeria (GMMVN) mapping ... | {
"entities": {
"name": [
"Geospatial Mapping of Malaria Vectors in Nigeria",
"Localized Insecticide-Treated Bed Net Distribution Records",
"Malaria Vector Surveillance System",
"Insecticide Resistance Monitoring Data",
"Nigerian Malaria Control Program Evaluation",
"Geospatial... |
specificity: named | descriptive | vague usage: primary | supporting | background | carbon stock estimation employs advanced techniques, where measurements derived from LiDAR provide crucial insights into canopy height and structure. The integration of data from the National Aerial LiDAR Inventory for Forest Carbon Ass... | {
"entities": {
"name": [
"National Aerial LiDAR Inventory for Forest Carbon Assessment"
],
"acronym": [
"NALIFCA"
],
"producer": [
"Forest Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"Inventory"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | the interplay of spatial planning and disease monitoring within refugee camps is critical for effective public health management. Recent assessments, such as the Water Supply Access Assessment in Refugee Camps, highlight the urgent need... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Access Assessment in Refugee Camps"
],
"acronym": [
"KRHIS"
],
"producer": [
"Ministry of Health, Kenya"
],
"timeframe": [
"2022"
],
"datatype": [
"system",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | to further clarify, the incorporation of the UNHCR Refugee Registration Database 2022 (URRD22) enables a detailed understanding of registration trends within the Jordan and Lebanon context, particularly when combined with the Refugee Se... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database 2022",
"Refugee Settlement Tracking Survey Data",
"Jordan and Lebanon Refugee Needs Assessment Records",
"longitudinal refugee registration information",
"historical records of refugee registrations"
],
"acronym":... |
specificity: named | descriptive | vague usage: primary | supporting | background | aerial canopy height data have been critical for accurately estimating carbon stocks in forested regions. The integration of LiDAR technology, exemplified by the National LiDAR Aerial Survey Database (NLASD), provides a robust framework... | {
"entities": {
"name": [
"National LiDAR Aerial Survey Database",
"Canopy Height Measurement Records"
],
"acronym": [
"NLASD"
],
"producer": [
"National Environmental Agency"
],
"timeframe": [
"2018-2020"
],
"datatype": [
"Database",
"repo... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the National Aerial LiDAR and Canopy Height Assessment (NALCHA) significantly enhance the accuracy of carbon stock calculations. The assessment, produced by the U.S. Forest Service in 2021, provides comprehensive ... | {
"entities": {
"name": [
"National Aerial LiDAR and Canopy Height Assessment"
],
"acronym": [
"NALCHA"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | approach disregards the potential influence of exogenous variables, failing to control for spatial autocorrelation when evaluating the multidimensional poverty index (MPI) assessments. Applying ordinary least squares (OLS) regression wi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | and the analysis of refugee demographics reveal significant insights into the ongoing challenges faced by displaced populations in the region. Specifically, the Jordan Refugee Registration System (JRRS), a comprehensive database produce... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"refugee settlement tracking records"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"datatype": [
"database"
],
"specificity": [
"named",
"descriptive"
],
"usage":... |
specificity: named | descriptive | vague usage: primary | supporting | background | throughout the analysis, results demonstrate a significant correlation between crop yields and the normalized difference vegetation index (NDVI) derived from satellite imagery, with enhanced accuracy achieved by integrating localized su... | {
"entities": {
"name": [
"Ethiopian National Agricultural Data System (ENADS)"
],
"acronym": [
"ENADS"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | wealth index estimations derived from mobile phone CDR records reveal significant insights into poverty mapping across various regions. Utilizing the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA) database produce... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"Global Poverty Monitoring Initiative"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping flood corridors in urban areas requires a comprehensive understanding of various contributing factors. For instance, the Urban Flood Vulnerability Assessment 2021 (UFVA 2021), produced by the Bangladesh Ministry of Disaster Mana... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment 2021",
"OpenStreetMap Urban Settlement Information",
"Bangladesh National Population Census 2011",
"Satellite Imagery of Urban Areas",
"Geospatial Data on Flood Zones"
],
"acronym": [
"UFVA 2021",
"BN... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis applied to assess the relationship between deforestation rates and carbon emissions^1 suggests a concerning trend where increased forest loss correlates with elevated emissions levels. Utilizing Ordinary Least Sq... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | understanding of asylum seeker intake tracking in Germany necessitates a rigorous methodological approach. The regression models employed to analyze the relationship between administrative refugee records and processing times often lack... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The spatial analysis revealed distinct patterns in refugee distribution, highlighting significant correlations between registration densities and the socioeconomic indicators derived from the UNHCR Jordan and Lebanon Refugee Registratio... | {
"entities": {
"name": [
"UNHCR Jordan and Lebanon Refugee Registration System"
],
"acronym": [
"UJRRS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"spec... |
specificity: named | descriptive | vague usage: primary | supporting | background | The significant correlation observed between deforestation rates and carbon emissions indicates a complex interaction influenced by various socioeconomic factors. Specifically, household consumption expenditure exhibits a negative relat... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | several factors were controlled, including the influx of individuals into the German Asylum Seeker Reception Database (GASRD), a comprehensive database produced by the Federal Office for Migration and Refugees (BAMF) covering the timefr... | {
"entities": {
"name": [
"German Asylum Seeker Reception Database"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary... |
specificity: named | descriptive | vague usage: primary | supporting | background | revealed that while the National Socioeconomic Survey (ENS) 2021 provides critical insights into economic conditions, the nuances in poverty indicators are further clarified through the Comprehensive Households Welfare Assessment. Speci... | {
"entities": {
"name": [
"National Socioeconomic Survey (ENS) 2021",
"Comprehensive Households Welfare Assessment",
"Poverty and Inequality Monitoring Report",
"baseline welfare indicators"
],
"acronym": [
"ENS"
],
"producer": [
"DANE (National Administrative D... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping efforts have increasingly leveraged remote sensing technology, particularly through the analysis of Sentinel-2 satellite imagery. These observations provide critical insights into soil moisture dynamics, essential for optimizing... | {
"entities": {
"name": [
"Global Soil Moisture Monitoring Database"
],
"acronym": [
"GSMMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relations"... |
specificity: named | descriptive | vague usage: primary | supporting | background | seeking to understand the dynamics of asylum processes in Germany requires a close examination of several key datasets. The Federal Asylum Seeker Registration Database (FASRD), a comprehensive database produced by the Federal Office for... | {
"entities": {
"name": [
"Federal Asylum Seeker Registration Database",
"Administrative Refugee Processing Times Records",
"Asylum Application Statistics 2022",
"Refugee Intake Historical Trends",
"State-level Asylum Processing Time Assessment",
"Available Records on Refugee I... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates derived from crop yield estimations show significant correlations between the normalized difference vegetation index (NDVI) and localized agricultural outputs. In the context of Ethiopia, the findings leverage data from the Et... | {
"entities": {
"name": [
"Ethiopia Vegetation Index and Crop Yield Assessment Survey"
],
"acronym": [
"EVICYS"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Survey"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | critical to understanding the dynamics of displacement and humanitarian needs in the region. The Jordan Refugee Registration and Settlement Database (JRRSDB) is a comprehensive database produced by UNHCR, which covers data from 2015 to ... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement Database"
],
"acronym": [
"JRRSDB"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicates that the spatial distribution of asylum seekers is heavily influenced by regional migration policies and border enforcement strategies. Utilizing the Southern European Migration Flow Registry (SEMFR), a comprehensive registry ... | {
"entities": {
"name": [
"Southern European Migration Flow Registry"
],
"acronym": [
"SEMFR"
],
"producer": [
"European Migration Agency"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"Registry"
],
"specificity": [
"named"
],
"u... |
specificity: named | descriptive | vague usage: primary | supporting | background | inevitably, the integration of mobile phone CDR records has transformed traditional approaches to poverty mapping and wealth index estimations. Utilizing the National Mobile Phone Usage and Poverty Index Survey 2021 (NMPUPIS), a compreh... | {
"entities": {
"name": [
"National Mobile Phone Usage and Poverty Index Survey 2021",
"Mobile Phone Call Detail Records for Socioeconomic Analysis"
],
"acronym": [
"NMPUPIS"
],
"producer": [
"Global Poverty Research Initiative"
],
"timeframe": [
"2021"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | In analyzing the correlation between household consumption and multidimensional poverty indicators, the Central American Household Consumption Survey 2021 (CAHCS 2021) was utilized to provide insight into spending behaviors across diffe... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2021",
"multidimensional poverty assessment framework data",
"historical poverty and consumption trends in Central America"
],
"acronym": [
"CAHCS 2021"
],
"producer": [
"Central American Statist... |
specificity: named | descriptive | vague usage: primary | supporting | background | carbon stock estimation often relies on precise measurements of canopy height, which can be effectively captured through advanced technologies such as LiDAR. The Integrated LiDAR and Aerial Canopy Height Measurements for Carbon Stock As... | {
"entities": {
"name": [
"Integrated LiDAR and Aerial Canopy Height Measurements for Carbon Stock Assessment"
],
"acronym": [
"ILAC"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2019-2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking of malaria vectors in Nigeria has significantly benefited from the comprehensive insights provided by the Nigerian Malaria Vector Surveillance System (NMVSS), a robust system produced by the Nigerian Ministry of Heal... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance System",
"Insecticide-treated Bed Net Coverage and Usage Survey Data",
"historical records on malaria vector populations"
],
"acronym": [
"NMVSS"
],
"producer": [
"Nigerian Ministry of Health"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the monitoring of refugee demographics relies significantly on data extracted from the UNHCR Refugee Registration and Settlement Database (URRSD), a comprehensive database produced by the United Nations High Commissioner for Refugees (U... | {
"entities": {
"name": [
"UNHCR Refugee Registration and Settlement Database"
],
"acronym": [
"URRSD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators in Colombia reveal significant disparities, particularly when analyzed through the lenses of welfare assessments and social safety nets coverage. For instance, the Colombian Household Survey on Living Conditions 2021 ... | {
"entities": {
"name": [
"Colombian Household Survey on Living Conditions 2021",
"Social Protection Programs Registry Data",
"available records on welfare assessments"
],
"acronym": [
"CHSLC 2021"
],
"producer": [
"National Administrative Department of Statistics (DA... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis revealed a troubling disparity in coverage, particularly as it pertains to the implementation of social safety nets which have been reported to inadequately support lower-income households. Utilizing Ordinary Least Squares ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the substantial data from the UNHCR Jordan Refugee Registration Database (UJRRD), produced by the United Nations High Commissioner for Refugees during the timeframe of 2015-2023, plays a crucial role in informing settlement policies in ... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration Database",
"refugee settlement tracking records",
"historical refugee registration information"
],
"acronym": [
"UJRRD"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe"... |
specificity: named | descriptive | vague usage: primary | supporting | background | using the normalized difference vegetation index (NDVI) satellite imagery in conjunction with the Ethiopian Agricultural Sample Survey (EASS) 2021, crop yield estimations have shown significant improvements in accuracy. The EASS, a comp... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey (EASS) 2021",
"normalized difference vegetation index (NDVI) satellite imagery",
"Recent crop yield assessments"
],
"acronym": [
"EASS"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping accuracy largely hinges on high-resolution imagery coupled with advanced analysis techniques. The Sentinel-2 Soil Moisture Assessment Program (S2-SMAP) serves as a critical resource in this regard, producing soil moisture data t... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Assessment Program"
],
"acronym": [
"S2-SMAP"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"rel... |
specificity: named | descriptive | vague usage: primary | supporting | background | given the insights from the Multidimensional Poverty Index Assessment Framework, the evaluation of household consumption in Central America necessitates integration of several relevant datasets. The Central America Household Consumption... | {
"entities": {
"name": [
"Central America Household Consumption Survey 2022",
"Multidimensional Poverty Index Assessment Framework",
"Regional Poverty and Consumption Patterns Report 2021",
"household welfare measurement data",
"Central American Socioeconomic Data Collection",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | inequality could misrepresent the socioeconomic dynamics, particularly in settings where mobile penetration does not correlate with wealth distribution. Spatial overlays conducted using ArcGIS to visualize these discrepancies suggested ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | administrative records are maintained through the German Asylum Seeker Registration System (GASRS), a comprehensive system produced by the Federal Office for Migration and Refugees (BAMF) that has been operational from 2018-2023. This d... | {
"entities": {
"name": [
"German Asylum Seeker Registration System",
"refugee intake processing times records"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2018-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | identifying trends in soil moisture across the region, the analysis integrates the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), a comprehensive database produced by the European Space Agency. By leveraging this dataset, which s... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring",
"historical soil moisture tracking records"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Data... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis of the spatial distribution of malaria vectors revealed significant correlations between localized insecticide-treated bed nets and vector density. The Malaria Vector Surveillance System in Nigeria (MVSSN), produced by the Nige... | {
"entities": {
"name": [
"Malaria Vector Surveillance System in Nigeria"
],
"acronym": [
"MVSSN"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | measured across different forest types, using ordinary least squares (OLS) regression to establish relationships between canopy height and carbon stock. The Gini coefficient was employed to assess the inequality in distribution of carbo... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | improving poverty mapping relies significantly on the integration of diverse datasets, such as the Mobile Phone Call Detail Records for Poverty Analysis (MPCDR-PA), a database produced by the International Telecommunication Union in 202... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis",
"Household Wealth Index Estimation Survey Data",
"available mobile usage records for economic assessments"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"International Telecommunication U... |
specificity: named | descriptive | vague usage: primary | supporting | background | Control efforts for malaria in Nigeria have increasingly relied on geospatial tracking methodologies to effectively deploy resources against vector populations. By analyzing data from the National Malaria Vector Surveillance Database (N... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets",
"historical records of malaria vector distributions"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigerian Ministry of Health"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | contributes to understanding the complexities of asylum processing in Germany, particularly through the German Asylum Seeker Tracking System (GASTS), a comprehensive data system produced by the Federal Office for Migration and Refugees ... | {
"entities": {
"name": [
"German Asylum Seeker Tracking System"
],
"acronym": [
"GASTS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The complexities of asylum seeker intake tracking in Germany are significantly informed by the German Asylum Seeker Tracking System (GASTS), a comprehensive system developed by the Federal Office for Migration and Refugees (BAMF) during... | {
"entities": {
"name": [
"German Asylum Seeker Tracking System",
"Administrative Refugee Registration Records"
],
"acronym": [
"GASTS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | ditionally, the regression model incorporates variables sourced from the Central American Household Consumption Survey 2022 (CAHCS 2022), which provides comprehensive insights into household expenditure patterns across the region. This ... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2022",
"Multidimensional Poverty Index Assessment Framework",
"available poverty metrics from national surveys"
],
"acronym": [
"CAHCS 2022"
],
"producer": [
"Central American Statistical Institu... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial analysis indicates a significant correlation between urban flood corridors and the distribution of informal settlements. The integration of the Urban Flood Risk Assessment Database (UFRAD), a comprehensive database produced by t... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"GIS-based Land Use Mapping Data",
"collected regional flood impact records"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | data sourced from the Asylum Seeker Registration Database (ASRD), a comprehensive database maintained by the Federal Office for Migration and Refugees (BAMF), reveals significant trends in asylum seeker intake during the timeframe of 20... | {
"entities": {
"name": [
"Asylum Seeker Registration Database",
"Administrative Refugee Processing Times Records"
],
"acronym": [
"ASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2021-2022"
],
"datatype": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | to effectively address the challenges of spatial planning in refugee camps, the insights derived from the Kenya Refugee Camp Water Supply Assessment (KRCWSA) reveal significant disparities in water supply access across various regions. ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"Water Access and Disease Surveillance in Refugee Settlements"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water and Sanitation Agency"
],
"timeframe": [
"2022"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of crop yield were derived through a spatial overlay analysis that integrated the vegetation index survey data with localized information from the Ethiopian National Agricultural Statistics Survey (ENASS) conducted by the Et... | {
"entities": {
"name": [
"Ethiopian National Agricultural Statistics Survey",
"vegetation index survey data"
],
"acronym": [
"ENASS"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | In examining the efficiency of asylum processing in Germany, the data from the German Asylum Seeker Registration Database (GASRD) reveals significant insights into the intake and administrative tracking of refugees during the 2021-2023 ... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database",
"Refugee Processing and Intake Records",
"aggregate administrative records of asylum applications"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | the ongoing conflict has led to significant challenges in providing adequate humanitarian assistance to internally displaced persons (IDPs). The Yemen IDP Tracking Survey 2022 (YITS 2022), produced by the Yemeni Red Crescent Society, se... | {
"entities": {
"name": [
"Yemen IDP Tracking Survey 2022",
"geospatial data on IDP camp locations",
"available information on displaced populations in Yemen"
],
"acronym": [
"YITS 2022"
],
"producer": [
"Yemeni Red Crescent Society"
],
"timeframe": [
"2... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly evident, the Asylum Seeker Registration Database (ASRD), produced by the Federal Office for Migration and Refugees (BAMF), provides critical insights into the trends of asylum seekers in Germany over the timeframe of 2021-2... | {
"entities": {
"name": [
"Asylum Seeker Registration Database",
"refugee intake processing time records"
],
"acronym": [
"ASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"D... |
specificity: named | descriptive | vague usage: primary | supporting | background | furthermore, the regression analysis employed a spatial overlay technique utilizing the Brazilian Deforestation Monitoring System (BDMS) to ascertain deforestation rates from 2020-2023, which were corroborated against findings from the ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"Geospatial Forest Loss Assessment Reports",
"Global Forest Change Data",
"Satellite Imagery for Carbon Emissions Analysis",
"Amazon Rainforest Carbon Emissions Monitoring System",
"Land Use Change Survey Da... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations, particularly in the context of Ethiopia, reveal significant correlations between vegetation index data, such as NDVI, and localized survey data derived from established agricultural assessments. The Ethiopian National... | {
"entities": {
"name": [
"Ethiopian National Crop Yield Assessment"
],
"acronym": [
"ENCYA"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake tracking revealed that the administrative processes for asylum seekers in Germany are fraught with inconsistencies, particularly in the calculation of processing times. Regression models employing Ordinary Least Squares (OLS) est... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the tracking of internally displaced persons (IDPs) in Yemen is crucial for delivering timely humanitarian assistance, as exemplified by the Yemen IDP Tracking and Assistance System (YITAS), which serves as a comprehensive monitoring to... | {
"entities": {
"name": [
"Yemen IDP Tracking and Assistance System"
],
"acronym": [
"YITAS"
],
"producer": [
"Yemen Ministry of Human Rights"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geogr... |
specificity: named | descriptive | vague usage: primary | supporting | background | satellite-based applications, the integration of the *Sentinel-2 Soil Moisture Analysis Dataset 2022* (S2SMAD) has proven essential for accurate mapping of soil moisture levels. Produced by the *European Space Agency*, this database lev... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Analysis Dataset 2022",
"High-Resolution Satellite Imagery for Agricultural Monitoring",
"Global Soil Moisture Monitoring Initiative",
"Satellite-Based Agricultural Assessment Records",
"Remote Sensing Soil Moisture Collection 2020"... |
specificity: named | descriptive | vague usage: primary | supporting | background | residential patterns based on household consumption expenditure models displayed a stark contrast between the two regions, indicating significant disparities that were quantified using OLS regression techniques. These models, evaluated ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations based on localized survey data reveal significant insights into agricultural productivity, particularly when integrated with satellite imagery. The Normalized Difference Vegetation Index (NDVI) satellite imagery o... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2021",
"Normalized Difference Vegetation Index (NDVI) satellite imagery",
"Recent crop yield assessments from various regions"
],
"acronym": [
"EAS 2021"
],
"producer": [
"Ethiopian Central Statistical Agency"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the Mobile Phone Call Detail Records for Poverty Estimation (CDR-PE) provide significant insights into socioeconomic disparities across various regions. This database, produced by the National Bureau of Statistics... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Estimation",
"Mobile Network Operator Usage Patterns for Socioeconomic Indicators"
],
"acronym": [
"CDR-PE"
],
"producer": [
"National Bureau of Statistics"
],
"timeframe": [
"2022"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of data from the Global LiDAR Canopy Height Database (GLCHD), produced by the International Forest Monitoring Agency for the period 2019-2021, has proven essential for enhancing the accuracy of carbon stock estimations. ... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Database",
"Aerial LiDAR and Canopy Height Metrics",
"Forest Carbon Stock Estimation Survey Data",
"LiDAR Forest Inventory Database",
"Remote Sensing Canopy Height Measurements",
"Available LiDAR Data for Carbon Assessment",... |
specificity: named | descriptive | vague usage: primary | supporting | background | Soil moisture mapping relies heavily on the integration of various regression models which assess the relationship between agricultural output and environmental variables. While ordinary least squares (OLS) regression provides a foundat... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | aspects of agricultural monitoring are increasingly reliant on advanced imagery analysis, particularly utilizing the Sentinel-2 Surface Reflectance Dataset (S2SRD), a database produced by the European Space Agency spanning from 2015 to ... | {
"entities": {
"name": [
"Sentinel-2 Surface Reflectance Dataset",
"Satellite Imagery for Agricultural Monitoring",
"recently collected satellite observations"
],
"acronym": [
"S2SRD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"database",... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized assessments of vector populations reveal that the implementation of insecticide-treated bed nets (ITNs) has resulted in significant declines in malaria transmission rates in various regions. Preliminary analyses suggest a stro... | {
"entities": {
"name": [
"Nigeria Malaria Vector Tracking Database"
],
"acronym": [
"NMVTD"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | the tracking of asylum seeker intake in Germany is complex, influenced by numerous factors including administrative processing times, which have shown notable variability across regions. To analyze these dynamics, Ordinary Least Squares... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the substantial increase in carbon emissions linked to deforestation in Brazil becomes evident when examining the Brazilian Tropical Forest Monitoring System (BTFMS), a comprehensive system produced by the Instituto Nacional de Pesquisa... | {
"entities": {
"name": [
"Brazilian Tropical Forest Monitoring System"
],
"acronym": [
"BTFMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"System"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | agricultural expansion was modeled using ordinary least squares (OLS) regression, incorporating variables such as household consumption expenditure and carbon emission rates. The Gini coefficient served as a measure of inequality in for... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The integration of spatial variables with the UNHCR Jordan Refugee Registration System (UJRS) database demonstrates a significant correlation between refugee demographics and settlement patterns across urban and rural areas. Utilizing r... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System",
"refugee settlement tracking records"
],
"acronym": [
"UJRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | characteristics often include household consumption expenditure and demographic factors such as age and gender composition. Employing Ordinary Least Squares (OLS) regression models, researchers can analyze the impact of these variables ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | coverage in Colombia remains inadequate. Assessments of welfare often rely on the Gini coefficient, which reveals persistent inequality in household consumption expenditure across urban and rural sectors. While ordinary least squares (O... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | surveillance of migration patterns across Southern Europe reveals significant trends in border crossings and asylum applications. Regression analysis was applied to the data extracted from the Southern European Asylum Seekers Registrati... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary... |
specificity: named | descriptive | vague usage: primary | supporting | background | Addressing poverty indicators in Colombia requires an in-depth analysis of the mechanisms of social safety nets. The Colombian National Survey on Quality of Life (CNQL), produced by the National Administrative Department of Statistics (... | {
"entities": {
"name": [
"Colombian National Survey on Quality of Life"
],
"acronym": [
"CNQL"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | findings suggest a troubling correlation between poverty indicators and the effectiveness of social safety nets, particularly when considering the Gini coefficient as a measure of income inequality. While the Ordinary Least Squares (OLS... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the Ethiopian National Agricultural Sample Survey (ENASS) conducted by the Central Statistical Agency of Ethiopia in 2020 with remote sensing data such as the Vegetation Index and Crop Yield Correlation Data produced ... | {
"entities": {
"name": [
"Ethiopian National Agricultural Sample Survey",
"Vegetation Index and Crop Yield Correlation Data",
"historical agricultural yield records"
],
"acronym": [
"ENASS"
],
"producer": [
"Central Statistical Agency of Ethiopia",
"Ethiopian A... |
specificity: named | descriptive | vague usage: primary | supporting | background | with the increasing availability of satellite data, the Sentinel-2 Soil Moisture Mapping Database (S2SMD) has emerged as a critical resource for monitoring soil moisture levels across various agricultural landscapes. This comprehensive ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Mapping Database"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | aspects of poverty indicators in Colombia reveal significant disparities, particularly when analyzed through the lens of various data sources. The National Survey of Nutritional Status in Colombia (ENSNC), produced by the National Insti... | {
"entities": {
"name": [
"National Survey of Nutritional Status in Colombia",
"poverty assessment and welfare indicators data",
"historical records on social safety nets"
],
"acronym": [
"ENSNC"
],
"producer": [
"National Institute of Health"
],
"timeframe": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly relevant, the comprehensive data from the Yemen IDP Tracking Database (YITD) reveals critical insights about internally displaced persons (IDPs) and their relocation patterns amidst ongoing humanitarian crises. The database... | {
"entities": {
"name": [
"Yemen IDP Tracking Database",
"location tracking survey data for internally displaced persons"
],
"acronym": [
"YITD"
],
"producer": [
"Yemen Humanitarian Response Coalition"
],
"timeframe": [
"2022"
],
"datatype": [
"D... |
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