input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | administrative trends reveal notable variations in the asylum seeker intake processes, particularly highlighted by the German Asylum Seekers Registration Database (GASRD), a database produced by the Federal Office for Migration and Refu... | {
"entities": {
"name": [
"German Asylum Seekers Registration Database",
"Asylum Seeker Processing Times Records",
"Comprehensive refugee intake records"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | responses to refugee needs in Jordan and Lebanon are meticulously tracked through the UNHCR Jordan Refugee Registration System (UJRS), a comprehensive database developed by the United Nations High Commissioner for Refugees. Operating fr... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System"
],
"acronym": [
"UJRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the model specification involved an Ordinary Least Squares (OLS) regression framework to assess the impact of various environmental and socio-economic variables on health outcomes within the context of refugee camp spatial planning. Key... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping urban flood corridors and informal settlements in Bangladesh requires a robust integration of diverse data sources. The Urban Flooding and Settlement Mapping Survey (UFSMS), produced by the Bangladesh Water Development Board in ... | {
"entities": {
"name": [
"Urban Flooding and Settlement Mapping Survey",
"Remote Sensing Imagery for Urban Areas",
"Historical Urban Flood Records"
],
"acronym": [
"UFSMS"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Deforestation rates in Brazil have been increasingly scrutinized through advanced geospatial analysis, particularly with the deployment of the Brazilian Amazon Deforestation Monitoring Project (BADMP), a comprehensive database produced ... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring Project",
"satellite imagery for forest loss assessment"
],
"acronym": [
"BADMP"
],
"producer": [
"National Institute for Space Research (INPE)"
],
"datatype": [
"database",
"system"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | vulnerability can be effectively quantified using multiple data sources that enhance the precision of spatial overlay analyses. The Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board for the... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"National Land Use and Settlement Mapping",
"Satellite Imagery for Urban Flood Mapping",
"Dhaka Urban Informal Settlement Survey",
"Flood Vulnerability Assessment Reports",
"Bangladesh Urban Resilience Program Da... |
specificity: named | descriptive | vague usage: primary | supporting | background | While traditional methods for estimating wealth indices often rely on static demographic data, the utilization of mobile phone CDR records represents a paradigm shift in poverty mapping. Specifically, the Mobile Phone CDR Poverty Mappin... | {
"entities": {
"name": [
"Mobile Phone CDR Poverty Mapping Project"
],
"acronym": [
"MPCDR-PMP"
],
"producer": [
"Global Poverty Lab"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | deprivation metrics highlighted within the household consumption expenditure survey data reveal significant variances across demographic segments, particularly when contextualized alongside findings from the National Sample Survey on Co... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Government of India"
],
"timeframe": [
"2017-2018"
],
"datatype": [
"survey",... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments reveal a complex interaction between poverty and consumption patterns in Central America. The Central American Household Multidimensional Poverty Index Survey 2021 (CAHMPIS 2021), produced by the Central America Development ... | {
"entities": {
"name": [
"Central American Household Multidimensional Poverty Index Survey 2021",
"household consumption expenditure survey data",
"recently collected records"
],
"acronym": [
"CAHMPIS 2021"
],
"producer": [
"Central America Development Agency"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | in assessing the correlation between the multidimensional poverty index (MPI) and household consumption patterns, the Central America Multidimensional Poverty Index Survey 2021 (CAMPI 2021) serves as a critical foundation, produced by t... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2021",
"Household Consumption and Expenditure Monitoring Data",
"National Household Survey on Living Conditions 2019",
"Multidimensional Poverty Analysis Reports",
"available national poverty assessment ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of crop yields in Ethiopia exhibit significant variances when utilizing advanced methods that integrate the normalized difference vegetation index (NDVI) alongside localized data. The Ethiopian Agricultural Survey Database (... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey Database"
],
"acronym": [
"EASD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations in Ethiopia rely heavily on integrating vegetation indices, such as NDVI, with localized survey data. The Ethiopian Agricultural Sample Survey (EASS) 2022, produced by the Central Statistical Agency of Ethiopia, provid... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey (EASS) 2022"
],
"acronym": [
"EASS"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Underreported displacement trends highlight a critical gap in aid provision, particularly among vulnerable groups. The Yemen IDP Assistance Tracking System (YIATS), developed by the United Nations Office for the Coordination of Humanita... | {
"entities": {
"name": [
"Yemen IDP Assistance Tracking System"
],
"acronym": [
"YIATS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2023"
],
"datatype": [
"System"
],
"specifi... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implications of urbanization on flood vulnerability are starkly visible in Bangladesh, where GIS mapping has played a crucial role in delineating flood corridors and identifying informal settlements. For instance, the Bangladesh Urb... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database"
],
"acronym": [
"BUFRA"
],
"producer": [
"Bangladesh Water Development Board"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | to analyze the effects of deforestation on carbon emissions, several data sources provide crucial insights into forest loss in Brazil. Notably, the Brazilian Deforestation Monitoring System (BDMS), a system produced by the Instituto Nac... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"satellite imagery for forest loss analysis",
"historical records of carbon emissions from deforestation"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Evidence collected from the Nigeria Malaria Vector Surveillance Database (NMVSD), produced by the National Malaria Control Programme, indicates a significant correlation between vector density and the distribution of insecticide-treated... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets in Nigeria"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Control Programme"
],
"timeframe": [
"2018-2022"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | Analysis of the 2011-2012 data reveals significant disparities in consumption expenditure across different socio-economic strata in rural India. Utilizing the National Sample Survey on Consumption Expenditure (NSSCE), which is a compreh... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2011-2012"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Coverage estimates derived from the Local Bed Net Coverage Assessment, Nigeria (LBNCA) indicate significant geographical disparities in bed net availability, which aligns with the surveillance data sourced from the Nigerian Malaria Vect... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Program",
"Geospatial Mapping of Insecticide Residuals",
"Local Bed Net Coverage Assessment, Nigeria",
"Malaria Vector Species Distribution Records",
"Recent Malaria Surveillance Data",
"Insecticide-treated Bed Net... |
specificity: named | descriptive | vague usage: primary | supporting | background | currently employed in Kenyan refugee camps indicate significant variability in both water supply access and disease monitoring. According to the Kenya Refugee Camp Water Supply Access Assessment (KRCWSA), produced by the Kenya Water Res... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Access Assessment",
"Spatial Distribution of Refugee Camp Disease Incidence Records"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water Resource Authority"
],
"timeframe": [
"2021"
],
"data... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis employed in this study utilized geospatial coordinates derived from the National Malaria Vector Surveillance System (NMVSS), a comprehensive system produced by the Nigeria Ministry of Health covering the timefram... | {
"entities": {
"name": [
"National Malaria Vector Surveillance System"
],
"acronym": [
"NMVSS"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | were analyzed through a regression control mechanism to establish the correlation between the derived soil moisture levels and agricultural yield. The results indicated a significant relationship, supporting the utility of the Sentinel-... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for soil moisture mapping"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake figures reveal a fluctuating pattern, with administrative refugee records indicating significant variances in processing times across regions. The German Asylum Seeker Intake Database (GASID), produced by the Federal Office for M... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | resulting from the combination of localized survey data and vegetation indices, such as NDVI, demonstrate significant potential for enhancing crop yield estimations across diverse agro-ecological zones in Ethiopia. The Ethiopian Agricul... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey Database"
],
"acronym": [
"EASD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2015-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The intersection of deforestation mapping and carbon emissions highlights significant implications for environmental policy in Brazil. Recent analyses utilizing the Brazilian Deforestation Monitoring System (BDMS) indicate a persistent ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System (BDMS)",
"Geospatial Forest Loss Assessment Data"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2020-2023"
],
"datatype... |
specificity: named | descriptive | vague usage: primary | supporting | background | that the resulting analysis revealed significant spatial disparities in the distribution of assistance among internally displaced persons (IDPs). Utilizing the Yemen IDP Location and Assistance Database (YILAD), which is produced by the... | {
"entities": {
"name": [
"Yemen IDP Location and Assistance Database"
],
"acronym": [
"YILAD"
],
"producer": [
"Yemen Humanitarian Response Plan"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the complexities surrounding border crossings and the registration of asylum seekers in Southern Europe are reflected in various migration flow patterns. According to the Southern European Migration Flow Register (SEMFR), produced by th... | {
"entities": {
"name": [
"Southern European Migration Flow Register"
],
"acronym": [
"SEMFR"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | such as the National Aerial LiDAR Database for Carbon Estimation (NALD-CE) which was produced by the U.S. Geological Survey between 2018 and 2021, offer significant insights into canopy height measurements. These datasets enable precise... | {
"entities": {
"name": [
"National Aerial LiDAR Database for Carbon Estimation"
],
"acronym": [
"NALD-CE"
],
"producer": [
"U.S. Geological Survey"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
}... |
specificity: named | descriptive | vague usage: primary | supporting | background | Lebanon's utilization of the Lebanon Refugee Settlement Survey Data (2020) illustrates a systematic approach to understanding refugee demographics within the settlement zones, further complemented by the UNHCR Refugee Registration Datab... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"Lebanon Refugee Settlement Survey Data",
"Jordanian Refugee Tracking Records",
"recent refugee registration information"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner f... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns reveal significant disparities across different regions in rural India, particularly when analyzed through the lens of various survey datasets. The National Sample Survey on Consumption Expenditure (NSSCE) provides ... | {
"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 | geospatial analysis indicates a statistically significant correlation between forest loss and carbon emissions in Brazil. Using data from the Brazilian Forest Monitoring System (BFMS), which covers the assessment period from 2020-2022 a... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System (BFMS)"
],
"acronym": [
"BFMS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"timeframe": [
"2020-2022"
],
"datatype": [
"assessment"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | quantitative analysis of water access metrics was conducted using the Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA), an assessment produced by the United Nations High Commissioner for Refugees (UNHCR). This dataset provided c... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis revealed significant disparities in water supply access across various sectors of the camps, as indicated by the Kenya Refugee Camp Water Access Assessment (KRCWAA) conducted by the Kenya Ministry of Water and Sanitatio... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Assessment"
],
"acronym": [
"KRCWAA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The incorporation of geospatial tracking methodologies allows for a precise analysis of localized insecticide-treated bed nets in conjunction with malaria vector presence in Nigeria. Leveraging the Nigeria Malaria Vector Surveillance Da... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | this analysis was conducted to evaluate processing times and track intake patterns related to asylum seekers. The data were primarily sourced from the Bundesamt für Migration und Flüchtlinge Asylum Seekers Processing Database (BAMF ASPD... | {
"entities": {
"name": [
"Bundesamt für Migration und Flüchtlinge Asylum Seekers Processing Database",
"Asylum Seeker Registration and Processing Records",
"available records on asylum applications in Germany"
],
"acronym": [
"BAMF ASPD"
],
"producer": [
"Federal Off... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty through the lens of telecommunication data has gained traction, particularly with the use of Mobile Phone Call Detail Records for Poverty Assessment (MPCDR-PA) database. The integration of this database, produced by the ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"Global Communication Analytics Institute"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"database"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the National Rural Livelihoods Mission Consumption Expenditure Survey (NRLM-CES) reveal significant disparities in consumption patterns among rural households in India. Conducted in 2021 by the Ministry of Rural D... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Expenditure Survey"
],
"acronym": [
"NRLM-CES"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis utilized ordinary least squares (OLS) to estimate the impact of localized insecticide-treated bed nets on malaria vector populations across various regions in Nigeria. Key variables included household consumption... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | notably, the Southern European Migration Monitoring Database (SEMMDB), produced by the European Migration Network, provides crucial insights into migration trends and border crossings from 2015-2022. This database reveals fluctuations i... | {
"entities": {
"name": [
"Southern European Migration Monitoring Database",
"Asylum Seekers Registration Records"
],
"acronym": [
"SEMMDB"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators exhibit significant fluctuations when analyzed through various socioeconomic lenses. Utilizing the Colombian National Household Survey 2021 (NHS 2021), produced by the National Administrative Department of Statistics ... | {
"entities": {
"name": [
"Colombian National Household Survey 2021"
],
"acronym": [
"NHS 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | comprehensive assessments of household consumption in Central America reveal significant insights into the multidimensional poverty landscape, particularly when analyzed alongside data from the Central American Household Consumption Sur... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2022",
"Multidimensional Poverty Index Assessment for Central America",
"household consumption expenditure survey data",
"Regional Poverty Dynamics Report",
"available household consumption records",
"Cent... |
specificity: named | descriptive | vague usage: primary | supporting | background | welfare assessments were critically informed by the Colombian National Welfare Registry (CNWR), a comprehensive registry produced by the Ministry of Social Protection, Colombia in 2021, which facilitated the tracking of poverty indicato... | {
"entities": {
"name": [
"Colombian National Welfare Registry",
"household poverty assessment survey data",
"recently collected welfare indicators"
],
"acronym": [
"CNWR"
],
"producer": [
"Ministry of Social Protection, Colombia"
],
"timeframe": [
"2021... |
specificity: named | descriptive | vague usage: primary | supporting | background | given the complexities of border crossings in Southern Europe, analysis of migration flows reveals significant patterns when integrating the Eurostat Migration Flow Database (EMFD) from 2021. The database captures comprehensive statisti... | {
"entities": {
"name": [
"Eurostat Migration Flow Database",
"asylum seekers registration records"
],
"acronym": [
"EMFD"
],
"producer": [
"Eurostat"
],
"timeframe": [
"2021"
],
"datatype": [
"Database",
"records"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | Planning for spatial distribution of essential resources in refugee camps is critical for ensuring health and safety among displaced populations. Access to water supply systems, as evidenced by the findings from the Kenya Refugee Health... | {
"entities": {
"name": [
"Kenya Refugee Health and Water Access Assessment"
],
"acronym": [
"KRH-WAA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specifici... |
specificity: named | descriptive | vague usage: primary | supporting | background | furthermore, the Asylum Seeker Registration Database (ASRD), produced by the Federal Office for Migration and Refugees, covers the timeframe from 2021 to 2023 and provides crucial data for tracking asylum seeker intake patterns. This da... | {
"entities": {
"name": [
"Asylum Seeker Registration Database",
"German Refugee Processing Times Report",
"Administrative Refugee Records",
"Integration Status Assessment System",
"Refugee Reception Statistics",
"EU Asylum System Overview",
"Asylum Seekers Processing Dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of monitoring environmental changes, the Brazilian Deforestation Monitoring System (BDMS) provides critical insights into geospatial forest loss datasets and their correlation with carbon emissions. Produced by the Instit... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"System"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the complexities of refugee integration in host communities necessitate comprehensive data collection methodologies. In this context, the Jordan Refugee Registration Database (JRRD), managed by UNHCR, has served as a critical resource f... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",
"system"
],
"specific... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping soil moisture through the utilization of European Space Agency Sentinel-2 Satellite Imagery (ESA-S2) has proven crucial in agricultural monitoring. The imagery produced by the European Space Agency from 2015 to 2023 enables rese... | {
"entities": {
"name": [
"European Space Agency Sentinel-2 Satellite Imagery",
"Satellite Imagery for Soil Moisture Assessment"
],
"acronym": [
"ESA-S2"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Imagery",
"Imagery"
],
"specifici... |
specificity: named | descriptive | vague usage: primary | supporting | background | to estimate crop yields in Ethiopia, the integration of the Ethiopian Vegetation Index and Crop Yield Survey 2021 (EVCY-21) alongside localized agricultural survey data has proven instrumental. The EVCY-21, produced by the Ethiopian Agr... | {
"entities": {
"name": [
"Ethiopian Vegetation Index and Crop Yield Survey 2021",
"localized agricultural survey data"
],
"acronym": [
"EVCY-21"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized mapping of malaria vectors in Nigeria relies heavily on the Nigeria Malaria Vector Surveillance Database 2022 (NMVSD 2022), a comprehensive database produced by the Nigeria Ministry of Health, which provides critical insights ... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database 2022",
"Geospatial Mapping of Insecticide-Treated Bed Nets",
"Annual Malaria Control Program Assessment Data",
"Localized Entomological Monitoring Records",
"Historical Trends in Malaria Vector Control"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | households report various levels of consumption expenditure, with notable disparities in rural regions across the dataset. The National Sample Survey on Consumption Expenditure 2019 (NSSCE2019) provides critical survey data produced by ... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure 2019"
],
"acronym": [
"NSSCE2019"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019"
],
"datatype": [
"Survey... |
specificity: named | descriptive | vague usage: primary | supporting | background | Deforestation mapping in Brazil has seen significant advancements, particularly with the integration of geospatial technologies. The Brazilian Amazon Deforestation Monitoring System (BAMDS), a system developed by the Instituto Nacional ... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Geospatial Analysis of Forest Loss and Carbon Emissions"
],
"acronym": [
"BAMDS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"System",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption patterns reveal a significant correlation with poverty levels as demonstrated by the findings from the Central American Household Consumption and Multidimensional Poverty Assessment 2021 (CAHCP-2021), which was produced by t... | {
"entities": {
"name": [
"Central American Household Consumption and Multidimensional Poverty Assessment 2021"
],
"acronym": [
"CAHCP-2021"
],
"producer": [
"Central America Poverty Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"Assess... |
specificity: named | descriptive | vague usage: primary | supporting | background | identification of internally displaced persons (IDPs) in Yemen remains critically dependent on structured data sources. For instance, the Yemen IDP Location and Assistance Database (YIDLAD), produced by the Yemen Humanitarian Response C... | {
"entities": {
"name": [
"Yemen IDP Location and Assistance Database",
"Displacement Tracking Survey Reports",
"UNHCR Yemen IDP Registration Records",
"Satellite Imagery Analysis for IDP Camps",
"Humanitarian Needs Overview for Yemen",
"Integrated IDP Assistance Monitoring Sys... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed through a spatial overlay approach, revealing significant patterns in the movement and distribution of the displaced populations. The Yemen Internally Displaced Persons Tracking Database (YIDPTD), a comprehensive database produ... | {
"entities": {
"name": [
"Yemen Internally Displaced Persons Tracking Database"
],
"acronym": [
"YIDPTD"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"datatype": [
"Database"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | Crop yield estimations in Ethiopia increasingly rely on the integration of various datasets, particularly the Ethiopian Agricultural Sample Survey (EASS), a comprehensive survey produced by the Central Statistical Agency of Ethiopia in ... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey",
"Normalized Difference Vegetation Index (NDVI) Data for Ethiopia",
"collected agricultural yield records"
],
"acronym": [
"EASS"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | Coverage of social safety nets in Colombia has been critically evaluated through various metrics, including the Colombian National Welfare Information System (SISBEN), which serves as a comprehensive database produced by the Colombian G... | {
"entities": {
"name": [
"Colombian National Welfare Information System",
"household poverty assessment survey data",
"reports on social safety net program coverage"
],
"acronym": [
"SISBEN"
],
"producer": [
"Colombian Government"
],
"timeframe": [
"202... |
specificity: named | descriptive | vague usage: primary | supporting | background | throughout the period 2016-2023, the Asylum Seeker Registration System (ASRS) serves as a critical database in Germany for tracking asylum seeker intake. The Federal Office for Migration and Refugees (BAMF) produced this system to strea... | {
"entities": {
"name": [
"Asylum Seeker Registration System (ASRS)"
],
"acronym": [
"ASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2016-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | migration flows have intensified across Southern Europe, as evidenced by the Mediterranean Migration Monitoring System (MMMS), a system produced by the European Union Agency for Fundamental Rights, which spans the timeframe from 2021 to... | {
"entities": {
"name": [
"Mediterranean Migration Monitoring System",
"Asylum Seeker Registration Records for Southern Europe",
"UNHCR Southern Europe Refugee Flows Report",
"Cross-Border Migration Patterns Data",
"Historical Migration Statistics in Southern Europe",
"Emergenc... |
specificity: named | descriptive | vague usage: primary | supporting | background | …household consumption expenditure representing a key variable for analyzing socio-economic deprivation, significant disparities are observable across rural regions. Utilizing Ordinary Least Squares (OLS) regression models allows for th... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | gini coefficients were calculated to assess income inequality among the registered refugee populations in Jordan and Lebanon, employing Ordinary Least Squares (OLS) regression to determine the impact of household consumption expenditure... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of poverty indicators and welfare assessments reveals significant disparities in social safety nets coverage in Colombia. Particularly, findings from the Colombian National Household Survey on Poverty (ENAHO) conducted in 2... | {
"entities": {
"name": [
"Colombian National Household Survey on Poverty (ENAHO)"
],
"acronym": [
"ENAHO"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specifi... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake patterns revealed significant fluctuations over the years, with processing times heavily influenced by administrative efficiency and legal adjustments. The Asylum Seeker Registration System (ASRS), managed by the Federal Office f... | {
"entities": {
"name": [
"Asylum Seeker Registration System"
],
"acronym": [
"ASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | comprehensive understanding of migration trends in Southern Europe reveals critical insights from several datasets. The Southern European Migration Monitoring System (SEMMS), produced by the European Union Agency for Fundamental Rights ... | {
"entities": {
"name": [
"Southern European Migration Monitoring System",
"Asylum Seekers Registration and Tracking Database",
"Border Crossing Trends Report",
"annual migration flows and asylum applications statistics",
"recently collected records on border crossings"
],
"a... |
specificity: named | descriptive | vague usage: primary | supporting | background | inadequate response variables often led to skewed interpretations of MPI assessments, particularly when household consumption was modeled as a singular metric. For instance, while Ordinary Least Squares (OLS) regression can facilitate u... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | to determine the relationship between deforestation rates and carbon emissions, a regression analysis was performed utilizing the Brazilian Amazon Deforestation Monitoring Database (BADMD), a comprehensive database produced by the Insti... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring Database"
],
"acronym": [
"BADMD"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"Database"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns exhibit significant variability across regions, particularly in rural India, where economic deprivation is often pronounced. The methodology adopted employs Ordinary Least Squares (OLS) regression to analyze the imp... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yields, particularly when utilizing advanced metrics such as NDVI alongside localized survey data, show substantial promise in improving agricultural assessments. For instance, the Ethiopian Agricultural Sample Survey 2022 (EASS 20... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2022",
"Vegetation Index and Crop Yield Correlation Study Data",
"historical agricultural records"
],
"acronym": [
"EASS 2022"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"timefra... |
specificity: named | descriptive | vague usage: primary | supporting | background | wealth estimations using mobile phone CDR records have gained prominence in poverty mapping efforts, particularly highlighted in the Global Mobile Phone CDR Poverty Analysis (GMPA), a report produced by the International Telecommunicati... | {
"entities": {
"name": [
"Global Mobile Phone CDR Poverty Analysis",
"Mobile Phone Call Detail Records for Socioeconomic Assessment",
"recently collected records"
],
"acronym": [
"GMPA"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | with an emphasis on local transmission dynamics, the Nigeria Malaria Vector Surveillance Program 2022 (NMVSP2022) established a comprehensive framework for tracking malaria vectors across various geographic regions. Utilizing a detailed... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2022",
"geospatial mapping of insecticide-treated bed nets"
],
"acronym": [
"NMVSP2022"
],
"producer": [
"Nigerian Ministry of Health"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | specifically, the complexity of asylum seeker intake tracking relies heavily on the Refugee Intake Administrative Records System (RIARS), a comprehensive database produced by the Federal Office for Migration and Refugees (BAMF). This da... | {
"entities": {
"name": [
"Refugee Intake Administrative Records System"
],
"acronym": [
"RIARS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicates that data on consumption patterns in rural areas are often sourced from comprehensive collections like the National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Programme Impleme... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Household Consumption Expenditure Survey Data",
"India Rural Deprivation Assessment 2021",
"available survey records"
],
"acronym": [
"NSSCE",
"IRDA 2021"
],
"producer": [
"Min... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of localized survey data, such as the Ethiopian Agricultural Sample Survey 2021 (EASS 2021), which provides comprehensive insights into agricultural practices through structured survey records produced by the Central Sta... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2021",
"Multispectral Satellite Imagery for Crop Monitoring",
"recent agricultural production records"
],
"acronym": [
"EASS 2021"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to water and sanitation facilities in refugee camps significantly impacts health outcomes and disease spread. The comprehensive analysis conducted through the Water Supply Access Monitoring in Refugee Camps report (2021) highligh... | {
"entities": {
"name": [
"Kenya Refugee Health Surveillance System",
"Water Supply Access Monitoring in Refugee Camps",
"UNHCR Refugee Camp Registration Records",
"Household Water Consumption Survey Data",
"Periodic Disease Monitoring Reports in Refugee Settings",
"available p... |
specificity: named | descriptive | vague usage: primary | supporting | background | consequently, the integration of the Yemen IDP Location Tracking Database (YIDP) has significantly improved the response to the needs of internally displaced persons in Yemen. Compiled by the International Organization for Migration (IO... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Humanitarian Assistance Monitoring Records",
"recently collected humanitarian needs assessment"
],
"acronym": [
"YIDP"
],
"producer": [
"International Organization for Migration (IOM)"
],
"time... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzing the relationship between poverty indicators and social safety net coverage, the Colombian National Household Survey 2022 (CNHS 2022), produced by DANE, reveals critical insights into household dynamics and economic vulnerabili... | {
"entities": {
"name": [
"Colombian National Household Survey 2022",
"Social Safety Net Coverage Assessment",
"Poverty Measurement and Welfare Indicators Report",
"Household Income and Expenditure Survey Data",
"available records on social assistance programs"
],
"acronym": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the Global Forest Canopy Height Database (GFCHD) enables researchers to derive precise estimates of carbon stocks across various ecosystems. Utilized in conjunction with the Aerial LiDAR Canopy Height Measurement Reco... | {
"entities": {
"name": [
"Global Forest Canopy Height Database",
"Aerial LiDAR Canopy Height Measurement Records"
],
"acronym": [
"GFCHD"
],
"producer": [
"Earth Observation Research Institute"
],
"datatype": [
"Database",
"report"
],
"specifici... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption expenditure levels serve as a critical metric for understanding socioeconomic disparities within the context of the Central American Multidimensional Poverty Assessment Survey 2022 (CAMPA 2022). Analyzing the assessment prod... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Assessment Survey 2022",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPA 2022"
],
"producer": [
"Central American Development Bank"
],
"timeframe": [
"2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators in Colombia reveal substantial challenges, with the Colombian National Survey of Household Income and Expenditure (ENIGH), produced by the National Administrative Department of Statistics (DANE), offering critical ins... | {
"entities": {
"name": [
"Colombian National Survey of Household Income and Expenditure",
"Welfare Assessment Program Data",
"Historical records of social safety net coverage"
],
"acronym": [
"ENIGH"
],
"producer": [
"National Administrative Department of Statistics ... |
specificity: named | descriptive | vague usage: primary | supporting | background | welfare assessments of low-income households illustrate the significant disparities across urban and rural settings in Colombia, as evidenced by the Colombia National Socioeconomic Survey 2021 (CNSE 2021) conducted by the National Depar... | {
"entities": {
"name": [
"Colombia National Socioeconomic Survey 2021",
"welfare assessments of low-income households"
],
"acronym": [
"CNSE 2021"
],
"producer": [
"National Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed through the application of Ordinary Least Squares (OLS) regression, where variables such as household consumption expenditure were expected to correlate with the increasing rates of asylum seekers registered at various border c... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | interventions are increasingly reliant on accurate data to inform malaria control efforts. The National Malaria Vector Surveillance Database (NMVSD), produced by the Nigeria Ministry of Health, has been crucial for mapping vector distri... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Database",
"Geospatial Data on Insecticide-Treated Bed Nets in Nigeria",
"recently collected information on malaria vector distribution"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigeria Ministry of Healt... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty indicators consistently reveal the interplay between socio-economic factors and welfare assessments across various regions. Specifically, the National Survey of Household Dynamics 2021 (NSHD 2021), a comprehensive survey produce... | {
"entities": {
"name": [
"National Survey of Household Dynamics 2021"
],
"acronym": [
"NSHD 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | height data provided by the National LiDAR and Canopy Height Measurement Database (NLCMD) plays a critical role in evaluating forest carbon stocks. The database, produced by the Environmental Data Agency, encompasses extensive measureme... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Measurement Database"
],
"acronym": [
"NLCMD"
],
"producer": [
"Environmental Data Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water is critical in mitigating the spread of diseases within refugee populations. The report titled "Water Supply Accessibility in Refugee Camps" (2020) emphasizes the urgent need for reliable infrastructure, indicating... | {
"entities": {
"name": [
"Kenya Refugee Health Surveillance System",
"Water Supply Accessibility in Refugee Camps",
"available records on waterborne disease incidence"
],
"acronym": [
"KRHSS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the significance of GIS mapping in identifying flood corridors and informal settlements lies in its ability to visualize spatial relationships and assess vulnerability. Regression models, specifically Ordinary Least Squares (OLS), are e... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly important in assessing carbon stocks, particularly in forest ecosystems, are LiDAR and aerial canopy height measurements. Utilizing the Advanced LiDAR Canopy Height Measurements Database (ALCHMD), produced by the National C... | {
"entities": {
"name": [
"Advanced LiDAR Canopy Height Measurements Database"
],
"acronym": [
"ALCHMD"
],
"producer": [
"National Center for Remote Sensing"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Database"
],
"specificity": [
"n... |
specificity: named | descriptive | vague usage: primary | supporting | background | household survey datasets offer vital insights into consumption trends and deprivation levels in rural India. The National Sample Survey on Consumption Expenditure (NSSCE), a comprehensive survey produced by the Ministry of Statistics a... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption Expenditure Survey Data",
"Integrated Sample Survey on Rural Deprivation",
"Socioeconomic Status and Expenditure Patterns in Rural Households",
"recently collected consumption ... |
specificity: named | descriptive | vague usage: primary | supporting | background | observations from the Brazilian Deforestation Monitoring Program (BDMP) database, produced by the Institute of Forest and Agricultural Management, reveal significant trends in forest loss and its correlation with carbon emissions across... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Program (BDMP)"
],
"acronym": [
"BDMP"
],
"producer": [
"Institute of Forest and Agricultural Management"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"database"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators derived from the Colombian National Household Survey 2022 (ENH 2022) reveal significant disparities across urban and rural populations. Utilizing the survey data produced by DANE (National Administrative Department of... | {
"entities": {
"name": [
"Colombian National Household Survey 2022"
],
"acronym": [
"ENH 2022"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis reveals significant correlations between geospatial forest loss and carbon emissions, particularly when considering the Brazilian Amazon Deforestation Monitoring System (BAMMS) data from the Instituto Nacional de... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System"
],
"acronym": [
"BAMMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"System"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, deforestation mapping in Brazil reveals alarming trends linked to carbon emissions, as evident from the geospatial forest loss datasets that track changes over time. The Brazilian Forest Carbon Inventory (BFCI) serves as a... | {
"entities": {
"name": [
"Brazilian Forest Carbon Inventory"
],
"acronym": [
"BFCI"
],
"producer": [
"Brazilian Ministry of the Environment"
],
"datatype": [
"assessment"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"ge... |
specificity: named | descriptive | vague usage: primary | supporting | background | A significant correlation exists between the data recorded in the German Asylum Seeker Intake Records 2023 (GASIR) database, produced by the Federal Office for Migration and Refugees, and the observed processing times for asylum applica... | {
"entities": {
"name": [
"German Asylum Seeker Intake Records 2023"
],
"acronym": [
"GASIR"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"timeframe": [
"2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Monitoring the efficacy of the asylum process is crucial for understanding the administrative dynamics involved in refugee intake. The Asylum Seeker Intake and Processing Database (ASIPD), produced by the Federal Office for Migration an... | {
"entities": {
"name": [
"Asylum Seeker Intake and Processing Database"
],
"acronym": [
"ASIPD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly evident in migration studies, the need to analyze the inflow of asylum seekers in Southern Europe has prompted significant attention towards border crossings. Recent data reveal that these movements are closely tracked by t... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption patterns, as observed through the National Sample Survey on Consumption Expenditure (NSSCE), reveal critical insights into rural households' financial behaviors. The survey, produced by the Ministry of Statistics and Program... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"historical records on rural deprivation in India"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementa... |
specificity: named | descriptive | vague usage: primary | supporting | background | data from the Bangladesh Urban Flood Risk Assessment Database (BUFRA), produced by the Bangladesh Ministry of Disaster Management and Relief, reveal critical patterns in urban flood corridors and their intersection with informal settlem... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database"
],
"acronym": [
"BUFRA"
],
"producer": [
"Bangladesh Ministry of Disaster Management and Relief"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns in rural India reveal significant disparities, as illustrated by the National Sample Survey on Consumption Expenditure (NSSCE) conducted by the Ministry of Statistics and Programme Implementation, Government of Indi... | {
"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 | Models controlling for spatial autocorrelation were employed to assess the relationship between household consumption expenditure and mobility patterns. Notably, ordinary least squares (OLS) regression was applied to estimate coefficien... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in contrast, the data derived from the National Sample Survey on Consumption Expenditure (NSSCE) indicates significant variations in consumption patterns across different regions. This survey, produced by the Ministry of Statistics and ... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis indicated a significant correlation between the normalized difference vegetation index (NDVI) values and the crop yield estimates derived from localized survey data. Specifically, the integration of the Ethiopian... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey Database"
],
"acronym": [
"EASD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geo... |
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