input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | accounting for the discrepancies often found in traditional estimations. The National LiDAR Data Archive (NLDA), produced by the U.S. Geological Survey from 2015-2020, provides essential high-resolution data that enables detailed canopy... | {
"entities": {
"name": [
"National LiDAR Data Archive",
"Aerial Canopy Height Data Collection Initiative",
"Global Satellite Imagery for Forest Assessment",
"Regional Aerial Survey for Carbon Estimation",
"Canopy Height Model Derived from LiDAR",
"Forest Biomass Measurement Da... |
specificity: named | descriptive | vague usage: primary | supporting | background | location tracking of internally displaced persons (IDPs) in Yemen has relied heavily on the Yemen IDP Tracking System (YITS), a comprehensive database produced by the Yemeni Ministry of Human Rights covering the period from 2021 to 2023... | {
"entities": {
"name": [
"Yemen IDP Tracking System",
"current location tracking data for internally displaced persons"
],
"acronym": [
"YITS"
],
"producer": [
"Yemeni Ministry of Human Rights"
],
"datatype": [
"System"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial distribution of malaria vectors, as documented in the Nigerian Malaria Vector Surveillance Database (NMVSD), facilitates targeted interventions. This database, produced by the National Malaria Elimination Programme, encompas... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"Insecticide-treated Bed Nets Distribution Report",
"Geospatial Mapping of Malaria Endemic Regions",
"available records of malaria vector studies",
"Integrated Vector Management Assessment 2020"
],
"ac... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessing household consumption patterns in rural India reveals significant insights into the socio-economic conditions prevalent within these communities. The National Sample Survey on Consumption Expenditure (NSSCE), a comprehensive s... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"historical records on rural deprivation"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Gov... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking of malaria vectors has significantly advanced with resources such as the Nigerian Malaria Vector Surveillance Database (NMVSD) produced by the Nigerian Ministry of Health between 2021 and 2023. This database plays a ... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide Resistance in Mosquito Populations",
"Localized Bed Net Coverage Assessment in Nigeria",
"historical malaria vector distribution records",
"Community-Level Insecticide-Treate... |
specificity: named | descriptive | vague usage: primary | supporting | background | The assessment of multidimensional poverty in Central America reveals significant correlations between household consumption and poverty indicators. Utilizing the Central America Multidimensional Poverty Assessment 2021 (CAMPI 2021), pr... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Assessment 2021",
"household consumption expenditure survey data",
"recently collected information on poverty metrics"
],
"acronym": [
"CAMPI 2021"
],
"producer": [
"Central America Development Agency... |
specificity: named | descriptive | vague usage: primary | supporting | background | Measurements derived from LiDAR technology provide a robust framework for estimating carbon stocks, particularly when correlated with canopy height assessments. The National Aerial LiDAR and Canopy Height Assessment (NALCHA), produced b... | {
"entities": {
"name": [
"National Aerial LiDAR and Canopy Height Assessment"
],
"acronym": [
"NALCHA"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"assessment"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | household survey datasets reveal significant insights into consumption patterns and deprivation levels in rural India. For example, the National Sample Survey on Consumption Expenditure (NSSCE) conducted by the Ministry of Statistics an... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Household Consumption Expenditure Survey Data",
"India Rural Living Standards Survey",
"Rural Household Spending Patterns",
"State-Level Household Consumption Data Records",
"collected records on ru... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant advancements in agricultural monitoring rely heavily on the integration of satellite data, particularly the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), a comprehensive database produced by the European Space Agency... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty using mobile technologies has gained traction, particularly with the advent of sophisticated databases. One notable example is the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA), a comprehensive da... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"Global Connectivity Research Institute"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"database"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | have indicated significant variability in crop yields across different regions. Utilizing the Ethiopian National Crop Survey 2021 (ENCS 2021), a comprehensive survey conducted by the Ethiopian Ministry of Agriculture, provided crucial l... | {
"entities": {
"name": [
"Ethiopian National Crop Survey 2021",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"recent agricultural yield assessments"
],
"acronym": [
"ENCS 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing rates of deforestation across Brazil can be effectively analyzed through advanced geospatial techniques, particularly utilizing the Brazilian Forest Monitoring System (BFMS), a comprehensive system produced by the Instituto N... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System"
],
"acronym": [
"BFMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | addressing the complexities of spatial planning in refugee camps involves meticulous coordination between water supply access and disease monitoring systems. Utilizing the Kenya Refugee Camp Water Access Assessment (KRCWAA) produced by ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Assessment"
],
"acronym": [
"KRCWAA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased scrutiny of the asylum process has been marked by the establishment of comprehensive systems that monitor intake and administrative records. The German Asylum Seeker Intake Monitoring System (GASIMS), produced by the Federal O... | {
"entities": {
"name": [
"German Asylum Seeker Intake Monitoring System"
],
"acronym": [
"GASIMS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"system"
],
"specificity": [
"named"
],
"usage": [
"pr... |
specificity: named | descriptive | vague usage: primary | supporting | background | impacts of unplanned urbanization on flood risk are particularly pronounced in areas identified through the Bangladesh Urban Flood Risk Assessment Database (BUFRA), a comprehensive database produced by the Institute of Water and Flood M... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database",
"urban flood corridor mapping satellite imagery"
],
"acronym": [
"BUFRA"
],
"producer": [
"Institute of Water and Flood Management, Bangladesh"
],
"datatype": [
"Database",
"sat... |
specificity: named | descriptive | vague usage: primary | supporting | background | Aerial canopy height measurements play a crucial role in estimating carbon stocks within various forest ecosystems. Accurate assessments rely on comprehensive datasets, such as the Global LiDAR Aerial Canopy Height Database (GLACHD), pr... | {
"entities": {
"name": [
"Global LiDAR Aerial Canopy Height Database",
"Aerial Canopy Height Measurement Survey Data",
"Carbon Stock Estimation Records",
"National Aerial LiDAR Survey Initiative"
],
"acronym": [
"GLACHD",
"NALSI"
],
"producer": [
"Interna... |
specificity: named | descriptive | vague usage: primary | supporting | background | sustained reductions in malaria transmission have been observed in certain regions of Nigeria, coinciding with targeted interventions such as the distribution of insecticide-treated bed nets (ITNs). By analyzing data from the Integrated... | {
"entities": {
"name": [
"Integrated Vector Management Program Database"
],
"acronym": [
"IVMPD"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant disparities in welfare outcomes were evident across various demographics in Colombia, particularly when analyzed through the lens of the Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales (SISBEN) a... | {
"entities": {
"name": [
"Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales (SISBEN)",
"household welfare assessment survey data",
"Colombian National Survey of Household Income and Expenditures",
"social safety net coverage statistics",
"available records... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis demonstrated a concerning lack of significant correlation between the independent variables and the outcome measures, evidenced by low p-values across multiple regression models. The application of ordinary least squares (O... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | while comprehensive data on border crossings remains limited, the Southern European Migrant Registration Database (SEMRD), produced by the European Union Agency for Fundamental Rights, offers crucial insights into trends from 2018-2022.... | {
"entities": {
"name": [
"Southern European Migrant Registration Database"
],
"acronym": [
"SEMRD"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the correlation between urban flood corridors and informal settlements in Bangladesh highlights significant vulnerabilities in the region's infrastructure. Through GIS mapping, crucial data was derived from the Bangladesh Urban Flood Ma... | {
"entities": {
"name": [
"Bangladesh Urban Flood Mapping Database"
],
"acronym": [
"BUFMD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | inequality persists in various forms across regions, as demonstrated through the analysis of Mobile Phone Call Detail Records Poverty Assessment (MPCDR-PA), an assessment produced by the Global Poverty Monitoring Initiative. By utilizin... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records Poverty Assessment"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"Global Poverty Monitoring Initiative"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates derived from the combination of the Normalized Difference Vegetation Index (NDVI) Imagery Data^1 and localized survey data provide critical insights into crop yield predictions in Ethiopia. Specifically, the Ethiopian Agricult... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2021",
"Normalized Difference Vegetation Index (NDVI) Imagery Data",
"recent agricultural records from Ethiopia"
],
"acronym": [
"EASS 2021"
],
"producer": [
"Central Statistical Agency of Ethiopia"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates derived from the analysis of mobile phone data have increasingly informed poverty mapping efforts. Specifically, the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM) database, produced by the Global Data Initiativ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Data Initiative"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},... |
specificity: named | descriptive | vague usage: primary | supporting | background | Location-based analyses reveal significant disparities in the distribution of malaria vectors across different regions in Nigeria. Data from the Nigerian Malaria Vector Surveillance Program 2021 (NMVSP), a comprehensive surveillance sys... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Program 2021",
"geospatial mapping of insecticide-treated bed nets in Nigeria"
],
"acronym": [
"NMVSP"
],
"producer": [
"National Malaria Elimination Program Nigeria"
],
"timeframe": [
"2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | urban planning decisions are increasingly reliant on systematic assessments such as the Kenya Refugee Health Information System (KRHIS), produced by the Kenya Ministry of Health from 2018 to 2022, which captures critical health trends i... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Accessibility Survey Data",
"UNHCR Kenya Registration Database",
"longitudinal health monitoring information"
],
"acronym": [
"KRHIS",
"UNHCR-KR"
],
"producer": [
"Kenya Min... |
specificity: named | descriptive | vague usage: primary | supporting | background | The ongoing challenges faced by asylum seekers in Southern Europe manifest clearly in the data collected over recent years. Significant increases in border crossings have prompted the European Asylum Support Office to enhance the Southe... | {
"entities": {
"name": [
"Southern Europe Migration Flows Database"
],
"acronym": [
"SEMFD"
],
"producer": [
"European Asylum Support Office"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geo... |
specificity: named | descriptive | vague usage: primary | supporting | background | the necessity for comprehensive strategies in refugee camp spatial planning is underscored by access to potable water and effective disease monitoring systems. Utilizing the Kenya Refugee Health Information System (KRHIS), a database pr... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Access Monitoring Survey Data",
"recent reports on water access and health outcomes"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | strategies to improve tracking of internally displaced persons (IDPs) have gained urgency in Yemen, particularly in the context of the ongoing humanitarian crisis. The Yemen Displacement Tracking System (DTM) 2022, produced by the Inter... | {
"entities": {
"name": [
"Yemen Displacement Tracking System (DTM) 2022",
"Humanitarian Needs Assessment Data for IDPs",
"historical records on internally displaced populations"
],
"acronym": [
"DTM"
],
"producer": [
"International Organization for Migration (IOM)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Incorporating mobile phone data into poverty mapping offers a novel approach to understand socio-economic conditions. The Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), a database produced by the Global Data Initiative i... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile-Based Household Wealth Index Estimation Data",
"recently collected mobile usage statistics"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Data Initiative"
],
"timefra... |
specificity: named | descriptive | vague usage: primary | supporting | background | observed that integrating vegetation index metrics, specifically NDVI (Normalized Difference Vegetation Index), with localized survey data significantly enhances the accuracy of crop yield estimations in Ethiopia. The regression models ... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2022"
],
"acronym": [
"EASS 2022"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | evident in the findings from the Central America Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022), which indicated significant disparities in household well-being across the region. Analysis of the data provided by the Unite... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2022",
"Household Consumption Expenditure Survey Data",
"recent household consumption trends"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"United Nations Development Programme (UND... |
specificity: named | descriptive | vague usage: primary | supporting | background | determining the effectiveness of social safety nets in alleviating poverty is critical, particularly within the context of Colombian welfare frameworks. Recent analyses highlight the National Socioeconomic Survey of Colombia (NSC), a co... | {
"entities": {
"name": [
"National Socioeconomic Survey of Colombia"
],
"acronym": [
"NSC"
],
"producer": [
"Department of National Statistics, Colombia"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"usage": [
"primary"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | deforestation patterns have been critically assessed through the Brazilian Amazon Deforestation Monitoring System (BADMS), a database developed by the Instituto Nacional de Pesquisas Espaciais (INPE). This system, covering the timeframe... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System"
],
"acronym": [
"BADMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | given the complexities of urban refugee integration, the spatial overlay analysis revealed significant correlations between the *Jordan Refugee Registration Database (JRRD)*, a comprehensive database maintained by UNHCR from 2015-2023, ... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records",
"recently collected information on refugee demographics"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping initiatives focused on deforestation in Brazil highlight significant correlations between geospatial forest loss datasets and carbon emissions. The Brazilian Deforestation and Carbon Emission Monitoring System (BDCEMS), produced... | {
"entities": {
"name": [
"Brazilian Deforestation and Carbon Emission Monitoring System"
],
"acronym": [
"BDCEMS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | emissions from forest loss substantially impact the carbon balance, particularly in tropical regions such as Brazil. The use of geospatial forest loss measurement data provides critical insight into spatial patterns of deforestation, re... | {
"entities": {
"name": [
"Brazilian National Forest Inventory 2022",
"geospatial forest loss measurement data"
],
"acronym": [
"BNFI 2022"
],
"producer": [
"Brazilian Ministry of the Environment"
],
"timeframe": [
"2022"
],
"datatype": [
"Invent... |
specificity: named | descriptive | vague usage: primary | supporting | background | influencing spatial patterns of carbon emissions were analyzed using regression controls based on the Brazilian Amazon Deforestation Monitoring Program (BADMP) data. This program, produced by the Instituto Nacional de Pesquisas Espaciai... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring Program"
],
"acronym": [
"BADMP"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"Program"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of variables from the Asylum Seeker Registration Database 2022 (ASRD 2022) provides a critical framework for understanding the spatial distribution of asylum applications across various districts. The data type categoriz... | {
"entities": {
"name": [
"Asylum Seeker Registration Database 2022"
],
"acronym": [
"ASRD 2022"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | considering the variations in consumption patterns among different demographics, the analysis utilizes spatial overlay techniques to correlate findings from the National Sample Survey on Household Consumption Expenditure (NSS-HCE), a cr... | {
"entities": {
"name": [
"National Sample Survey on Household Consumption Expenditure",
"household consumption expenditure survey data"
],
"acronym": [
"NSS-HCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timefra... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation of crop yields has increasingly relied on integrating data sources, particularly the use of vegetation indices alongside localized survey information. The Normalized Difference Vegetation Index (NDVI) imagery, as a valuable f... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2021",
"Normalized Difference Vegetation Index (NDVI) imagery",
"Recent agricultural yield assessments in Ethiopia"
],
"acronym": [
"ENAS 2021"
],
"producer": [
"Ethiopian Agricultural Authority"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | of the households surveyed, the Central American Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022) highlights stark variations in consumption patterns among different socioeconomic groups. According to the findings produced b... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Assessment 2022"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Central America Poverty Research Network"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations leveraging the normalized difference vegetation index (NDVI) alongside localized survey data have shown significant promise in enhancing agricultural productivity assessments in Ethiopia. The Ethiopian National Cr... | {
"entities": {
"name": [
"Ethiopian National Crop Yield Database",
"Localized Agricultural Survey Data",
"historical agricultural records from Ethiopia"
],
"acronym": [
"ENCYD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2015... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations derived from the Mobile Phone Call Detail Records for Poverty Mapping (MPCDR-PM) reveal significant correlations between mobile usage patterns and socioeconomic status. The MPCDR-PM, produced by the Institute for Economic an... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Geospatial Wealth Index Estimation Data"
],
"acronym": [
"MPCDR-PM"
],
"producer": [
"Institute for Economic and Social Research"
],
"timeframe": [
"2022"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping the spatial distribution of refugee populations in Jordan and Lebanon requires an integration of various datasets to accurately inform policy decisions. The UNHCR Jordan and Lebanon Refugee Registration Database (UJLRRD), a crit... | {
"entities": {
"name": [
"UNHCR Jordan and Lebanon Refugee Registration Database"
],
"acronym": [
"UJLRRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | observations revealed a concerning trend in refugee integration within urban settings in Jordan and Lebanon. The use of Ordinary Least Squares (OLS) regression models indicated a significant correlation between household consumption exp... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of various geospatial datasets has proven essential for understanding urban flood dynamics in Bangladesh, particularly in the context of mapping flood corridors and informal settlements. For instance, the Bangladesh Urba... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment",
"Urban Informal Settlement Mapping Records",
"Flood Vulnerability Index (FVI) Data",
"Remote Sensing Imagery for Dhaka",
"National Flood Management Guidelines",
"Historical Flood Pattern Data"
],
"acron... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping urban flood corridors highlights the significant overlap between flood-prone areas and informal settlements across various districts in Bangladesh. By utilizing the Urban Flood Risk Assessment Database (UFRAD), produced by the B... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Meteorological Department"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | models were calibrated to assess the spatial distribution of wealth indices in conjunction with poverty mapping initiatives. Leveraging the Mobile Phone Call Detail Records for Poverty Assessment (CDR-PAP) database, produced by the Glob... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"CDR-PAP"
],
"producer": [
"Global Poverty Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to clean water remains a critical factor in spatial planning within refugee camps in Kenya, significantly impacting public health outcomes. The Water Supply Accessibility Assessment in Refugee Camps conducted in 2021 revealed gla... | {
"entities": {
"name": [
"Kenya Refugee Health Surveillance System",
"Water Supply Accessibility Assessment in Refugee Camps",
"Recent reports on health and sanitation in refugee settings"
],
"acronym": [
"KRHSS"
],
"producer": [
"Kenya Ministry of Health"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Establishment of robust systems for monitoring refugee demographics in Jordan and Lebanon is evident in the implementation of the UNHCR Jordan Refugee Registration System (UJRS), a comprehensive database produced by the United Nations H... | {
"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 | indicates that the regression models employed were primarily based on Ordinary Least Squares (OLS) estimation techniques, which are common in statistical analyses involving agricultural data. The focus on household consumption expenditu... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | significant contributor to the understanding of forest loss in Brazil, the Brazilian National Forest Inventory (BNFI) provides a comprehensive inventory of forest resources, with data collected from 2018 to 2020 by the Brazilian Institu... | {
"entities": {
"name": [
"Brazilian National Forest Inventory",
"satellite imagery for deforestation monitoring",
"Recent studies on forest loss and carbon emissions"
],
"acronym": [
"BNFI"
],
"producer": [
"Brazilian Institute of Geography and Statistics (IBGE)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking of asylum seekers has been critically dependent on the Asylum Seeker Registration Database 2022 (ASRD2022), which was produced by the Federal Office for Migration and Refugees (BAMF) and encompasses data solely from the year 20... | {
"entities": {
"name": [
"Asylum Seeker Registration Database 2022",
"Refugee Processing Times Monitoring Records",
"historical refugee intake statistics"
],
"acronym": [
"ASRD2022"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timef... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation of crop yields was significantly enhanced by integrating NDVI data with localized survey data, specifically the Ethiopian Agricultural Survey on Crop Yields 2022 (EASCY 2022). The spatial overlay analysis employed a regressio... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey on Crop Yields 2022"
],
"acronym": [
"EASCY 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seekers continued to face significant challenges during the registration process, particularly in areas with high border crossing rates. The Southern European Migration Flows Database (SEMFD) indicates that from 2018 to 2022, the... | {
"entities": {
"name": [
"Southern European Migration Flows Database"
],
"acronym": [
"SEMFD"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis of the geospatial distribution of malaria vectors reveals critical insights into the effectiveness of localized insecticide-treated bed nets. Utilizing the National Malaria Vector Surveillance Program 2023 (NMVSP), a surveillan... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Program 2023",
"Geospatial Data on Insecticide-Treated Bed Nets Distribution",
"historical records of malaria vector populations"
],
"acronym": [
"NMVSP"
],
"producer": [
"Nigeria Ministry of Health",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | between 2021 and 2022, the coordination efforts for supporting internally displaced persons (IDPs) in Yemen relied heavily on data from the Crisis-Related Displacement Assessment Data, which provided critical insights into the patterns ... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System",
"Crisis-Related Displacement Assessment Data",
"historical records on IDP movements in Yemen"
],
"acronym": [
"YILTS"
],
"producer": [
"Yemen Humanitarian Response Coalition"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant challenges arise in the accurate tracking of internally displaced persons (IDPs) in Yemen. The Yemen IDP Location Tracking Database (YIDP-LTD), produced by the Yemen Humanitarian Response Coalition, has been crucial for iden... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Humanitarian Assistance Needs Assessment Data"
],
"acronym": [
"YIDP-LTD"
],
"producer": [
"Yemen Humanitarian Response Coalition"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis employs a spatial overlay technique to assess the impact of urban flood corridors on informal settlements across several districts. Utilizing the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Wate... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure per household in relation to informal settlement locations^1. The Gini coefficient was utilized to measure income inequality within affected urban populations, with regression models assessing the impact of urban flood corri... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial planning in refugee camps is critical for optimizing resource allocation and ensuring adequate living conditions. The **Kenya Refugee Camp Water Supply Assessment (KRCWSA)**, produced by the Kenya Water Resources Authority in 20... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water Resources Authority"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The correlation between deforestation rates and carbon emissions indicates a significant ecological consequence in Brazil. Specifically, the Brazilian Amazon Deforestation Monitoring System (BAMMS), a system produced by the Institute of... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Geospatial Forest Loss Mapping Data",
"historical records of carbon emissions in Brazil"
],
"acronym": [
"BAMMS"
],
"producer": [
"Institute of Forest and Agricultural Management and Certif... |
specificity: named | descriptive | vague usage: primary | supporting | background | migration patterns and settlement distributions were assessed using spatial overlay analysis techniques. Specifically, the Jordan Refugee Registration System (JRRS), a comprehensive database produced by UNHCR, provided critical data fro... | {
"entities": {
"name": [
"Jordan Refugee Registration System"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased scrutiny surrounding border crossings has been marked by notable fluctuations in the number of asylum seekers registered. The Southern European Asylum Seeker Registration Database (SEASRD), produced by the European Migration N... | {
"entities": {
"name": [
"Southern European Asylum Seeker Registration Database",
"Cross-Border Migration Flow Analysis Reports",
"historical records of border crossing incidents"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Migration Network"
],
"time... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking the administrative processes involved in the reception of asylum seekers in Germany reveals significant insights, particularly from the German Asylum Seeker Intake Database (GASID) maintained by the Federal Office for Migration... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"na... |
specificity: named | descriptive | vague usage: primary | supporting | background | Essentially, the integration of spatial planning and disease monitoring in refugee camps necessitates meticulous data analysis. The Kenya Refugee Health and Nutrition Survey 2021 (KRHNS 2021), a comprehensive survey produced by the Unit... | {
"entities": {
"name": [
"Kenya Refugee Health and Nutrition Survey 2021",
"refugee camp water supply access records"
],
"acronym": [
"KRHNS 2021"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | critical for understanding the impacts of forest loss on carbon emissions in Brazil is the Brazilian Amazon Deforestation Monitoring System (BADMS), produced by the Instituto Nacional de Pesquisas Espaciais (INPE) and covering the timef... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Geospatial Forest Loss Assessment Dataset",
"Carbon Emissions Inventory for Brazilian Forest Regions",
"Satellite Imagery for Deforestation Analysis",
"pending geospatial data on forest loss"
],
"a... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of spatial overlays reveals significant correlations between high-risk flood zones and the locations of informal settlements throughout urban areas. Utilizing data from the Bangladesh Urban Flood Vulnerability Assessment... | {
"entities": {
"name": [
"Bangladesh Urban Flood Vulnerability Assessment 2022"
],
"acronym": [
"BUFVA 2022"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seeker intake tracking can be significantly affected by variations in processing times, especially when analyzed in conjunction with administrative refugee records. Utilizing the Refugee Processing Database Germany 2022 (RPDG), p... | {
"entities": {
"name": [
"Refugee Processing Database Germany 2022"
],
"acronym": [
"RPDG"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis indicates that combining the Normalized Difference Vegetation Index (NDVI) Satellite Imagery with the Ethiopian Crop Yield Assessment Survey 2021 (ECYAS 2021) yields significantly enhanced crop yield estimations. Utilizing ... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment Survey 2021",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Localized Agricultural Survey Data for Ethiopia",
"Ethiopian Vegetation Index Monitoring Report 2022",
"Historical crop yield records",
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Gini coefficient to measure inequality in household consumption expenditure and carbon emissions across various municipalities was calculated. Ordinary Least Squares (OLS) regression models were employed to ascertain the impact of defor... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the coverage of social safety nets in Colombia has been scrutinized through various poverty indicators, particularly in relation to the findings from the Colombian National Survey of Quality of Life 2021 (ENCV). This survey, produced by... | {
"entities": {
"name": [
"Colombian National Survey of Quality of Life 2021",
"poverty and welfare assessment reports"
],
"acronym": [
"ENCV"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datat... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased scrutiny over asylum seeker intake tracking has necessitated reliance on various structured databases. The **German Asylum Seeker Intake Database 2021 (GASID 2021)**, produced by the **Federal Office for Migration and Refugees... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database 2021",
"Refugee Processing Time Report",
"Asylum Application Registration Records",
"Administrative Refugee Data for Germany",
"Tracking of Refugee Intake Trends",
"Asylum Seeker Processing Times Overview 2020",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the subsequent model utilized a regression approach to analyze spatial overlays based on the Mobile Phone Call Detail Records for Poverty Mapping database. This database, produced by the National Bureau of Statistics in 2021, provides g... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"producer": [
"National Bureau of Statistics"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis reveals a significant correlation between NDVI readings and the localized survey data, notably the Ethiopian National Agricultural Survey 2022 (ENAS 2022), which provides a comprehensive framework for understanding regional... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022"
],
"acronym": [
"ENAS 2022"
],
"producer": [
"Ministry of Agriculture, Ethiopia"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression models employed for analyzing the impact of urban flood corridors on informal settlements revealed significant challenges in achieving robust results. Notably, the ordinary least squares (OLS) approach generated p-values ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | to derive more accurate poverty metrics, the analysis utilizes a combination of the Mobile Phone Call Detail Records for Poverty Assessment (MPCDR-PA) database, produced by the Data for Development Initiative between 2019-2021, alongsid... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"Geospatial Poverty Mapping Data",
"National Wealth Index Estimation Reports",
"available mobile communication usage records"
],
"acronym": [
"MPCDR-PA",
"NWIER"
],
"producer": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the application of mobile phone call detail records for social impact assessment (MPCDR-SIA) has shown promising results in enriching poverty mapping initiatives. Utilizing a comprehensive database produced by the Global Connectivity In... | {
"entities": {
"name": [
"mobile phone call detail records for social impact assessment",
"mobile network operator household wealth index survey data"
],
"acronym": [
"MPCDR-SIA"
],
"producer": [
"Global Connectivity Initiative"
],
"timeframe": [
"2019-2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements provide critical insights into the quantification of carbon stocks across diverse ecosystems. The analysis leverages the National LiDAR Carbon Assessment 2021 (NLCA 2021), produced by the U.S. Forest Service, which s... | {
"entities": {
"name": [
"National LiDAR Carbon Assessment 2021",
"Aerial Canopy Height Measurement Survey Data",
"historical aerial imagery records"
],
"acronym": [
"NLCA 2021"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | regression analysis used to predict the relationship between household consumption expenditure and levels of assistance provided to internally displaced persons (IDPs) in Yemen remains critically flawed. The ordinary least squares (OLS)... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Critical tracking of internally displaced persons (IDPs) in Yemen is facilitated through the Yemen IDP Location Tracking Database (YIDP-LTD), a robust database produced by the United Nations OCHA covering the timeframe of 2022-2023. Thi... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"IDP Registration Records",
"Yemen Humanitarian Needs Assessment 2023",
"collected records on displacement patterns"
],
"acronym": [
"YIDP-LTD",
"YHNA-2023"
],
"producer": [
"United Nations ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of localized survey data and vegetation index measurements offers a robust framework for refining crop yield predictions. For instance, the Ethiopian Agricultural Survey 2022 (EAS 2022), produced by the Ethiopian Ministr... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2022"
],
"acronym": [
"EAS 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
],
"usag... |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessment of deforestation mapping in Brazil reveals critical insights into geospatial forest loss and its direct implications for carbon emissions. The Brazilian National Forest Carbon Emissions Assessment (BNFCEA), produced by the Br... | {
"entities": {
"name": [
"Brazilian National Forest Carbon Emissions Assessment"
],
"acronym": [
"BNFCEA"
],
"producer": [
"Brazilian Ministry of Environment"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators, particularly those emerging from the Colombian Household Welfare Survey 2021 (CHWS 2021), reveal troubling trends in welfare assessments across the country. The survey, produced by the National Department of Statisti... | {
"entities": {
"name": [
"Colombian Household Welfare Survey 2021"
],
"acronym": [
"CHWS 2021"
],
"producer": [
"National Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the critical role of accurate data in understanding deforestation dynamics is evident through various geospatial analyses. The Brazilian Deforestation Monitoring System (BDMS), a database produced by the Instituto Nacional de Pesquisas ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System (BDMS)",
"Geospatial Forest Loss Assessment Data",
"historical records of forest cover change in Brazil"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the effectiveness of poverty mapping initiatives has increasingly relied on innovative data sources, such as the Mobile Phone Call Data Records for Poverty Mapping (MPCDR-PM) database produced by the International Telecommunication Unio... | {
"entities": {
"name": [
"Mobile Phone Call Data Records for Poverty Mapping",
"Mobile Usage Patterns for Socioeconomic Estimation"
],
"acronym": [
"MPCDR-PM"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": [
"2021-2022"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | The need for effective monitoring of internally displaced persons (IDPs) in Yemen remains critical as the ongoing conflict exacerbates humanitarian crises. Given the volatility of the situation, the Yemen IDP Location Tracking Database ... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YITD"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | inferred from the spatial distribution patterns, the Yemen Internally Displaced Persons Location Tracking Database (YIDPLT) serves as a critical resource for understanding the demographic shifts of IDPs across regions affected by confli... | {
"entities": {
"name": [
"Yemen Internally Displaced Persons Location Tracking Database"
],
"acronym": [
"YIDPLT"
],
"producer": [
"Yemen Humanitarian Coordination Office"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specifici... |
specificity: named | descriptive | vague usage: primary | supporting | background | correlational analysis employing Ordinary Least Squares (OLS) regression was conducted to assess the impact of socioeconomic factors on the vulnerability of urban flood corridors. Notably, a Gini coefficient was included to measure inco... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | regarding the recent influx of refugees, the UNHCR Refugee Registration Database (URRD) reveals critical insights into demographic changes and settlement patterns within the region^1. The database, produced by the United Nations High Co... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"Refugee Settlement Monitoring Data",
"Lebanon Refugee Registration Records",
"Jordanian Refugee Population Assessment",
"available refugee registration information"
],
"acronym": [
"URRD"
],
"prod... |
specificity: named | descriptive | vague usage: primary | supporting | background | of the various databases utilized for precision agriculture, the Sentinel-2 Soil Moisture Assessment Database (S2SMAD) stands out due to its comprehensive coverage from 2015-2023, providing invaluable insights for soil moisture analysis... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Assessment Database",
"Global Satellite Soil Moisture Imagery",
"Land Surface Reflectance Data from Sentinel-2",
"Agricultural Monitoring and Assessment Reports",
"Sentinel-2 Agricultural Crop Monitoring Dataset",
"Soil Moistu... |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators related to poverty and social safety nets in Colombia reveal significant insights into the economic landscape. The Colombian National Household Survey 2021 (CNHS 2021), produced by the Departamento Administrativo Nacional de ... | {
"entities": {
"name": [
"Colombian National Household Survey 2021",
"welfare assessment indicators for low-income households"
],
"acronym": [
"CNHS 2021"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the geospatial data for wealth index estimations reveal critical insights into spatial disparities in resource allocation. Utilizing the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), produced by t... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"geospatial data for wealth index estimations"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Development Lab"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | household expenditures on food, health, and education illustrate significant variation across different socio-economic strata. In rural areas, the data compiled from the National Family Health Survey (NFHS) 2019-20, a comprehensive surv... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019-20"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Survey"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | enables comprehensive assessments of forest carbon stocks. Combining the insights from the National LiDAR and Canopy Height Measurement Database (NLCMD), produced by the U.S. Geological Survey between 2019-2021, with aerial canopy heigh... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Measurement Database",
"aerial canopy height measurement survey data"
],
"acronym": [
"NLCMD"
],
"producer": [
"U.S. Geological Survey"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Da... |
specificity: named | descriptive | vague usage: primary | supporting | background | wealth disparities can be effectively analyzed through innovative methodologies that utilize existing data. For instance, the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), a comprehensive database produced by the Instit... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile User Interaction Records for Wealth Index Estimations"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Institute for Data Analytics"
],
"timeframe": [
"2022"
],
"datat... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrates the critical role of the Brazilian Deforestation Monitoring System (BDMS), produced by the Brazilian Institute of Environment and Renewable Natural Resources (IBAMA), in tracking forest loss within a timeframe from 2015 to ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System (BDMS)",
"geospatial forest loss assessment data",
"recent satellite imagery available"
],
"acronym": [
"BDMS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IB... |
specificity: named | descriptive | vague usage: primary | supporting | background | interaction effects between household consumption expenditure and settlement location, while employing Ordinary Least Squares (OLS) regression techniques to estimate the impact of various socio-economic factors on refugee integration ou... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the consequences of deforestation in Brazil are starkly illuminated by the Brazilian National Institute for Space Research Deforestation Database (INPE-DD), a comprehensive database produced by the Brazilian National Institute for Space... | {
"entities": {
"name": [
"Brazilian National Institute for Space Research Deforestation Database"
],
"acronym": [
"INPE-DD"
],
"producer": [
"Brazilian National Institute for Space Research (INPE)"
],
"timeframe": [
"2010-2023"
],
"datatype": [
"Datab... |
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