input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators reveal alarming trends, particularly in relation to household consumption expenditure and its correlation with welfare assessments. The Gini coefficient was calculated using ordinary least squares (OLS) regression mod... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing reliance on welfare assessments can complicate the understanding of poverty indicators. For instance, the Colombian National Welfare Survey (CNWS) produced by the Department of Social Prosperity, Colombia, in 2021, highlights... | {
"entities": {
"name": [
"Colombian National Welfare Survey"
],
"acronym": [
"CNWS"
],
"producer": [
"Department of Social Prosperity, Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"u... |
specificity: named | descriptive | vague usage: primary | supporting | background | In examining the spatial correlations between the multidimensional poverty index assessments and household consumption in Central America, the results reveal significant variances that warrant further exploration. Specifically, the Cent... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2022",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPI 2022"
],
"producer": [
"Central American Statistical Institute"
],
"timeframe": [
"2022"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption expenditure survey data indicate significant disparities in expenditure patterns among different strata of rural India. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Sta... | {
"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 | understanding the relationship between multidimensional poverty and household consumption patterns is critical, particularly in the context of Central America. The Central America Multidimensional Poverty Index Survey 2022 (CAMPI 2022),... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2022",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPI 2022"
],
"producer": [
"Central American Institute for Social Research"
],
"timeframe": [
"2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | necessary components of the monitoring framework include the Jordan Refugee Registration and Settlement System (JRRS), a robust database developed by UNHCR that has been operational from 2015-2023. Through this platform, demographic inf... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement System"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | intersecting the spatial data derived from the Mobile Phone Call Detail Records for Poverty Assessment (MPCDR-PA) database produced by the National Telecommunications Agency in 2022, we conducted a regression control analysis to estimat... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"mobile phone usage patterns related to socio-economic status"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"National Telecommunications Agency"
],
"timeframe": [
"2022"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | Multidimensional poverty assessments in Central America reveal significant variations in household consumption patterns, which are critical for understanding the broader socioeconomic landscape. The findings drawn from the Central Ameri... | {
"entities": {
"name": [
"Central American Poverty Assessment Survey 2022"
],
"acronym": [
"CAPAS 2022"
],
"producer": [
"Central American Commission on Development"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | overlapping dynamics of urban development and climate resilience. By employing tools from the Urban Flood Resilience Assessment Database (UFRAD), significant correlations between informal settlements and flood-prone areas were identifie... | {
"entities": {
"name": [
"Urban Flood Resilience Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements derived from the National Aerial LiDAR and Canopy Height Survey (NALCHS), produced by the U.S. Forest Service during the timeframe of 2019-2021, serve as critical inputs for modeling carbon stock estimation. T... | {
"entities": {
"name": [
"National Aerial LiDAR and Canopy Height Survey"
],
"acronym": [
"NALCHS"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"usa... |
specificity: named | descriptive | vague usage: primary | supporting | background | to ascertain the correlation between consumption patterns and levels of deprivation, recent analyses utilized data from the National Rural Livelihoods Mission Household Expenditure Survey 2022 (NRLM-HES-2022)⁴, a comprehensive survey pr... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Household Expenditure Survey 2022"
],
"acronym": [
"NRLM-HES-2022"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Settlement tracking is critically supported by the UNHCR Refugee Registration System for Jordan and Lebanon (URRS), a comprehensive database developed by the United Nations High Commissioner for Refugees (UNHCR) from 2015-2023. This ext... | {
"entities": {
"name": [
"UNHCR Refugee Registration System for Jordan and Lebanon"
],
"acronym": [
"URRS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty levels in Colombia remain a critical concern, particularly in the wake of recent economic shifts. The Colombian National Household Survey on Income and Expenditure (ENIGH), produced by the Department of National Statistics (DANE... | {
"entities": {
"name": [
"Colombian National Household Survey on Income and Expenditure"
],
"acronym": [
"ENIGH"
],
"producer": [
"Department of National Statistics (DANE)"
],
"timeframe": [
"2020"
],
"datatype": [
"Survey"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased scrutiny of border crossings has led to a rise in recorded asylum seekers, particularly within the Southern European context. Data from the Southern Europe Asylum Seekers Registration System (SEASRS) reveals substantial variat... | {
"entities": {
"name": [
"Southern Europe Asylum Seekers Registration System"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"database"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing demands for systematic tracking have led to the enhancement of the German Asylum Seeker Registration Database (GASRD), which serves as a comprehensive repository of asylum seeker data maintained by the Federal Office for Migr... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database",
"Administrative records of refugee processing times"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2021-2023"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seeker intake tracking faced significant challenges due to inadequate administrative processes. The regression models employed exhibited low explanatory power, with p-values consistently above the conventional thresholds (e.g., p... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of Central America, the multidimensional poverty index (MPI) serves as a crucial tool for evaluating various deprivation facets within households. Recent analyses indicated that regions with higher household consumption e... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment"
],
"acronym": [
"CAMPIA"
],
"producer": [
"Inter-American Development Bank"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | accuracy of poverty mapping using advanced techniques. The integration of the Mobile Phone Call Detail Records for Poverty Assessment (MP-CDR-PA) database, produced by the Global Telecommunication Institute in 2022, offers unique insigh... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"Mobile-Based Household Wealth Index Estimation Data"
],
"acronym": [
"MP-CDR-PA"
],
"producer": [
"Global Telecommunication Institute"
],
"timeframe": [
"2022"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements, which have been critical for estimating carbon stocks, rely heavily on precise data collection methodologies. The National Aerial Canopy Height Database (NACHD), a comprehensive database produced by the U.S. ... | {
"entities": {
"name": [
"National Aerial Canopy Height Database"
],
"acronym": [
"NACHD"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2015-2020"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Results indicated a significant correlation between NDVI values obtained from the Ethiopian Vegetation Index Monitoring Database (EVIMD) and localized crop yield survey data from smallholder farms. The database, produced by the Ethiopia... | {
"entities": {
"name": [
"Ethiopian Vegetation Index Monitoring Database",
"crop yield survey data from smallholder farms",
"historical agricultural performance records"
],
"acronym": [
"EVIMD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timefram... |
specificity: named | descriptive | vague usage: primary | supporting | background | in conjunction with the Mobile Phone Call Detail Records for Poverty Estimation (CDR-PE) database produced by the Global Connectivity Initiative during the 2021-2022 timeframe, the analysis of mobile phone usage patterns is critical for... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Estimation",
"Mobile Phone Usage Patterns for Wealth Index Analysis"
],
"acronym": [
"CDR-PE"
],
"producer": [
"Global Connectivity Initiative"
],
"timeframe": [
"2021-2022"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | In terms of effective spatial planning within refugee camps, comprehensive assessments are critical for ensuring adequate water supply access and monitoring potential health risks. The Kenya Refugee Camp Water Supply Assessment 2022 (KR... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"Refugee Camp Spatial Planning Survey Data",
"historical records of disease prevalence in refugee camps"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water Services Board"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | the assessment of poverty indicators reveals significant disparities in access to essential services among various socio-economic groups. Findings from the Colombian National Survey on Quality of Life 2021 (ENQUA), a comprehensive surve... | {
"entities": {
"name": [
"Colombian National Survey on Quality of Life 2021"
],
"acronym": [
"ENQUA"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | in conducting the spatial overlay analysis of urban flood corridors in Bangladesh, data from the Urban Flood Vulnerability Assessment 2022 (UFVA 2022) served as a primary assessment source, highlighting key vulnerabilities identified by... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment 2022",
"Satellite Imagery of Urban Areas",
"Bangladesh National Population and Housing Census",
"Informal Settlement Mapping Data",
"Flood Risk Assessment Reports",
"Bangladesh River Monitoring System",
"GIS ... |
specificity: named | descriptive | vague usage: primary | supporting | background | while evaluating the trends in border crossings, a significant focus is placed on the data obtained from the Southern European Asylum Seekers Registration System (SEASRS), a system produced by the European Union Migration Agency that sp... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System",
"Cross-Border Migration Flow Records",
"available migration statistics"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Migration Agency"
],
"timeframe": [
"2018-... |
specificity: named | descriptive | vague usage: primary | supporting | background | demographic data collected through the Jordan Refugee Registration Database (JRRD) from 2015 to 2023 provides a comprehensive overview of the refugee population in Jordan. This database, produced by UNHCR, complements the Lebanon Refuge... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Lebanon Refugee Settlement Records",
"refugee demographic survey data",
"Syrian Refugee Registration Assessment",
"settlement patterns analysis data",
"available registration information",
"Refugee Needs A... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping flood corridors involved overlaying multiple data sources, specifically leveraging the Urban Flood Risk Assessment Database (UFRAD), a comprehensive database produced by the Bangladesh Urban Development Authority in 2021. The sp... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Satellite Imagery of Urban Areas",
"National Survey on Urban Settlements",
"Informal Settlement Mapping Data",
"Flood Hazard Assessment Reports",
"Bangladesh Urban Flood Vulnerability Assessment",
"Archive... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations indicate a strong correlation between NDVI measurements and localized data. The Ethiopian Agricultural Survey 2021 (EAS 2021), produced by the Ethiopian Ministry of Agriculture, provides critical insights through its e... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2021"
],
"acronym": [
"EAS 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"usag... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis controlled for variables such as proximity to urban areas and historical deforestation patterns, utilizing the Brazilian Amazon Deforestation Monitoring System (BADMS), a crucial system produced by the National I... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System"
],
"acronym": [
"BADMS"
],
"producer": [
"National Institute for Space Research (INPE)"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"System"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consequently, GIS mapping plays a pivotal role in identifying urban flood corridors and informal settlements across Bangladesh, particularly as reflected in the Urban Flood Vulnerability Assessment Database (UFVAD), produced by the Bang... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Database",
"Household Informal Settlement Mapping Survey",
"National Flood Risk Assessment Report",
"Satellite Imagery for Urban Development",
"Bangladesh Urban Flood Records",
"Historical Flood Event Data"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water remains a critical challenge in the spatial planning of refugee camps, particularly in northern Kenya, where the influx of displaced persons has stressed existing resources. Notably, the findings from the Kenya Ref... | {
"entities": {
"name": [
"Kenya Refugee Health and Nutrition Survey 2021",
"Spatiotemporal Water Access and Disease Incidence Records"
],
"acronym": [
"KRHNS 2021"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"202... |
specificity: named | descriptive | vague usage: primary | supporting | background | the interplay of various poverty indicators and welfare assessments highlights critical gaps in social safety nets coverage in Colombia. For instance, the Colombia National Welfare Survey 2021 (CNWS 2021), produced by the National Depar... | {
"entities": {
"name": [
"Colombia National Welfare Survey 2021",
"Colombian Poverty Assessment Data",
"National Socioeconomic Registry 2020",
"household welfare indicators",
"Colombian Social Safety Nets Coverage Report 2019",
"recently compiled welfare statistics"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Involving various analytical techniques, the methodology employs Ordinary Least Squares (OLS) regression to assess the relationship between carbon emission rates and household consumption expenditure, which presents significant challeng... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to the spatial data derived from the Yemen Internal Displacement Tracking Matrix (IDTM), a comprehensive database produced by the International Organization for Migration (IOM) covering the timeframe of 2021-2023, the regres... | {
"entities": {
"name": [
"Yemen Internal Displacement Tracking Matrix (IDTM)",
"Humanitarian Assistance Needs Assessment Data",
"Yemen Refugee and IDP Registration Records",
"Geospatial Analysis of Displaced Communities",
"comprehensive needs assessment data for IDPs"
],
"ac... |
specificity: named | descriptive | vague usage: primary | supporting | background | conditions that necessitate such thorough tracking of refugee movements are influenced by various geopolitical factors. In this context, the Jordan Refugee Registration Database (JRRD), produced by UNHCR, serves as a critical resource f... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records",
"available registration information"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Da... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations in Ethiopia are increasingly informed by the integration of localized survey data with remote sensing technologies. The Ethiopian Agricultural Survey (EAS) 2021, produced by the Ethiopian Central Statistical Agency, pr... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey (EAS) 2021",
"vegetation index and yield correlation data",
"historical crop yield information"
],
"acronym": [
"eas"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021... |
specificity: named | descriptive | vague usage: primary | supporting | background | Moreover, the efficiency of the asylum seeker intake tracking process significantly impacts administrative refugee records and processing times in Germany. The Asylum Seeker Intake Management System (ASIMS), produced by the Federal Offi... | {
"entities": {
"name": [
"Asylum Seeker Intake Management System"
],
"acronym": [
"ASIMS"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates derived from mobile phone call detail records (CDRs) have shown potential for poverty mapping; however, the methodology often lacks rigor due to the reliance on flawed regression models. Specifically, ordinary least squares (O... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | by implementing systematic tracking mechanisms, the Yemen IDP Registration System (YIRS), developed by the Yemeni Ministry of Displacement Affairs, has facilitated the identification and documentation of internally displaced persons (ID... | {
"entities": {
"name": [
"Yemen IDP Registration System",
"IDP Location Assessment Data"
],
"acronym": [
"YIRS"
],
"producer": [
"Yemeni Ministry of Displacement Affairs"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Registration System",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake statistics reveal a significant correlation between the length of processing times and the volume of applications recorded in the German Asylum Seeker Processing Database (GASPD), a comprehensive database maintained by the Federa... | {
"entities": {
"name": [
"German Asylum Seeker Processing Database"
],
"acronym": [
"GASPD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of LiDAR technology into forest management practices has increasingly relied on high-resolution datasets, such as the Aerial Canopy Height Measurements for Carbon Stock Analysis 2022 (ACHM-CS-2022) database, produced by ... | {
"entities": {
"name": [
"Aerial Canopy Height Measurements for Carbon Stock Analysis 2022"
],
"acronym": [
"ACHM-CS-2022"
],
"producer": [
"National Forestry Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | essential for assessing the effectiveness of localized interventions. The Nigerian Malaria Vector Mapping Project 2021 (NMVMP), conducted by the National Malaria Elimination Programme (NMEP), provides critical geospatial data on malaria... | {
"entities": {
"name": [
"Nigerian Malaria Vector Mapping Project 2021",
"geospatial distribution of insecticide-treated bed nets in Nigeria",
"recently collected data on malaria vector populations"
],
"acronym": [
"NMVMP"
],
"producer": [
"National Malaria Eliminati... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements for carbon stock estimation are significantly enhanced by the integration of various datasets. For instance, the National LiDAR Aerial Survey 2021 (NLAS21), produced by the National Geographic Institute, offers cruci... | {
"entities": {
"name": [
"National LiDAR Aerial Survey 2021",
"Aerial Canopy Height Measurement Data",
"Global Forest Carbon Stock Database 2020",
"LiDAR Canopy Dynamics Assessment Records",
"Recent Remote Sensing Measurements"
],
"acronym": [
"NLAS21",
"GFCS2020... |
specificity: named | descriptive | vague usage: primary | supporting | background | administrative refugee records provide insight into processing times, particularly as monitored through the German Asylum Seeker Intake System (GASIS), a pivotal system developed by the Federal Office for Migration and Refugees (BAMF). ... | {
"entities": {
"name": [
"German Asylum Seeker Intake System (GASIS)"
],
"acronym": [
"GASIS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primar... |
specificity: named | descriptive | vague usage: primary | supporting | background | displacement trends have shown significant variability, particularly within the context of the Yemen IDP Location and Assistance Database (YIDP), a comprehensive database produced by the Humanitarian Organization for Relief and Developm... | {
"entities": {
"name": [
"Yemen IDP Location and Assistance Database",
"IDP Registration Records",
"recently collected humanitarian information"
],
"acronym": [
"YIDP"
],
"producer": [
"Humanitarian Organization for Relief and Development"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlay analysis of the Kenya Refugee Camp Water Supply Assessment (KRC-WSA) reveals critical insights into access disparities in water supply relative to disease hotspots. The assessment, produced by the United Nations High Com... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment"
],
"acronym": [
"KRC-WSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping initiatives, particularly through the Brazilian Deforestation Monitoring System (BDMS), which has been operational since 2015, provide critical insights into forest loss. The BDMS, produced by the Instituto Nacional de Pesquisas... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"Geospatial Forest Loss Assessment",
"Carbon Emissions Inventory for Brazilian Forests",
"historical records of forest cover changes"
],
"acronym": [
"BDMS",
"CEIBF"
],
"producer": [
"I... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets (ITNs) play a crucial role in malaria control strategies across various Nigerian regions. Recent advancements in geospatial tracking have facilitated enhanced understanding of vector distribution a... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | moisture mapping efforts have significantly benefited from the integration of satellite data, particularly the Sentinel-2 Soil Moisture Dataset (S2SMD), a comprehensive database produced by the European Space Agency covering the period ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Dataset",
"satellite imagery for agricultural monitoring",
"Global Soil Moisture Observations from Remote Sensing",
"remote sensing data for crop health assessment",
"available satellite imagery for analysis"
],
"acronym": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets (ITNs) have shown a significant correlation with malaria incidence rates in various regions of Nigeria, particularly when analyzed alongside the National Malaria Vector Surveillance Database 2022 (... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Database 2022",
"geospatial insecticide-treated bed net distribution records"
],
"acronym": [
"NMVSD 2022"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2022"
],
"dataty... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, the analysis of border crossings necessitates a nuanced understanding of the complex interplay between migration flows and the registration processes for asylum seekers. The Southern European Asylum Seekers Registration Da... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping of refugee populations relied heavily on the UNHCR Jordan Refugee Registration System (UJRS), a comprehensive system developed by the United Nations High Commissioner for Refugees (UNHCR) to track and manage the registration pro... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System"
],
"acronym": [
"UJRS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"System"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | deprivation indices derived from the *National Rural Livelihoods Mission Consumption Survey* (NRLM-CS) indicate significant variations in consumption patterns among rural households. According to the data collected in the 2021 survey by... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Survey",
"household consumption expenditure survey data"
],
"acronym": [
"NRLM-CS"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations in Ethiopia increasingly rely on advanced methodologies that integrate both remote sensing and localized data inputs. Utilizing the normalized difference vegetation index (NDVI), derived from satellite imagery, pr... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2021"
],
"acronym": [
"EASS 2021"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | …with ongoing assessments revealing significant fluctuations in migration patterns. Notably, the Southern European Migrant Registration System (SEMRS) has served as a vital registration system for tracking asylum seekers, documenting en... | {
"entities": {
"name": [
"Southern European Migrant Registration System",
"Border Crossing Statistics for Southern Europe",
"Asylum Seekers Historical Records",
"Integrated Migration Flow Monitoring Database"
],
"acronym": [
"SEMRS",
"IMFMD"
],
"producer": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Regression analyses reveal substantial insights into the patterns of consumption expenditure and deprivation within rural India, drawing primarily on data extracted from the National Sample Survey on Consumption Expenditure (NSSCE). Thi... | {
"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 analysis indicates significant correlations between consumption patterns and socioeconomic factors among rural households. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Pro... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"recently collected rural consumption records"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation... |
specificity: named | descriptive | vague usage: primary | supporting | background | Relying on a combination of the Encuesta Nacional de Calidad de Vida 2021 (ENCV 2021) survey data produced by the Departamento Administrativo Nacional de Estadística (DANE) in 2021, alongside household poverty assessment data, the analy... | {
"entities": {
"name": [
"Encuesta Nacional de Calidad de Vida 2021",
"household poverty assessment data",
"historical records of social assistance programs"
],
"acronym": [
"ENCV 2021"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | data from the German Asylum Seekers Registration Database (GASRD) reveals significant fluctuations in asylum seeker intake over the timeframe of 2019-2022, as compiled by the Federal Office for Migration and Refugees (BAMF). In contrast... | {
"entities": {
"name": [
"German Asylum Seekers Registration Database",
"Refugee Processing and Intake Assessment Records",
"historical records of refugee admissions"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | of the total asylum seeker intake, data extracted from the Asylum Seeker Registration System (ASRS) indicates a significant correlation with processing times recorded in the Refugee Processing Time Records, specifically from 2020-2022. ... | {
"entities": {
"name": [
"Asylum Seeker Registration System",
"Refugee Processing Time Records",
"recent administrative records"
],
"acronym": [
"ASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2019-2023",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | …applying Ordinary Least Squares (OLS) regression techniques to assess the impact of asylum seeker intake on processing times in Germany, it becomes evident that standard deviations in administrative refugee records lead to skewed resul... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | achieved through Ordinary Least Squares (OLS) regression analysis, incorporating variables such as household consumption expenditure and spatially referenced agricultural practices. The methodology includes a careful assessment of the c... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | suggests significant spatial variations in consumption patterns among rural households. Specifically, the National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Programme Implementation, Go... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"recently collected information on rural expenditure patterns"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programm... |
specificity: named | descriptive | vague usage: primary | supporting | background | in contrast, the integration of geospatial analysis into urban planning has illuminated critical aspects of flood risks, particularly in informal settlements. The Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh ... | {
"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 | The need for effective location tracking of internally displaced persons (IDPs) in Yemen is underscored by recent findings from the Yemen IDP Vulnerability Assessment 2021 (YIVA), produced by the United Nations Office for the Coordinati... | {
"entities": {
"name": [
"Yemen IDP Vulnerability Assessment 2021"
],
"acronym": [
"YIVA"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"s... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis revealed significant interrelations between flood risks and urban informal settlements, evidenced by the National Urban Flood Risk Assessment Database (NUFRAD) produced by the Bangladesh Ministry of Disaster Management in 2... | {
"entities": {
"name": [
"National Urban Flood Risk Assessment Database",
"Bangladesh Informal Settlement Mapping Project",
"Satellite imagery for urban flood analysis",
"Urban Flood Vulnerability Assessment Report",
"Available GIS Data on Urban Settlements",
"Floodplain and S... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption expenditure was analyzed using ordinary least squares (OLS) regression models to determine the relationship between multidimensional poverty index (MPI) assessments and various socio-economic variables. The Gini co... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the capacity of Sentinel-2 satellite imagery to enhance agricultural practices is underscored by its integration into various monitoring systems. Particularly, the Sentinel-2 Soil Moisture Mapping Database (S2SMD) provides crucial data ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Mapping Database"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | in conjunction with the outcomes derived from the Kenya Refugee Camp Water Supply Assessment (KRCWSA) produced by the Kenya Ministry of Health in 2021, it becomes evident that effective spatial planning is critical for ensuring equitabl... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"Spatial Mapping of Refugee Settlements in Northern Kenya",
"Refugee Health Monitoring Survey Data",
"Water Access and Quality Monitoring Indicators",
"Historical Records on Refugee Health Outcomes"
],
"a... |
specificity: named | descriptive | vague usage: primary | supporting | background | the comprehensive analysis of refugee populations in Jordan and Lebanon relies heavily on robust data frameworks, including the Jordan Refugee Registration Database (JRRD), produced by the United Nations High Commissioner for Refugees (... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Lebanon Refugee Settlement Tracking Records",
"historical records of refugee movements"
],
"acronym": [
"JRRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datat... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of crop yields can be significantly enhanced by integrating vegetation indices, such as the normalized difference vegetation index (NDVI), with localized survey data from rural areas. Data collected from the Ethiopian Crop Y... | {
"entities": {
"name": [
"Ethiopian Crop Yield Monitoring System"
],
"acronym": [
"ECYMS"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | border crossings have increasingly become a focal point in understanding the dynamics of migration in Southern Europe, particularly as recorded in the Mediterranean Migration Monitoring Database (MMMDB), which offers insights from 2018-... | {
"entities": {
"name": [
"Mediterranean Migration Monitoring Database",
"Cross-border Asylum Seeker Registration Reports",
"Southern European Migration Flows Overview",
"EU Asylum Seekers Registration System",
"IOM Migration and Border Crossing Records",
"Asylum Registration T... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly critical to address the needs of internally displaced persons (IDPs) in Yemen is the Yemen IDP Location Tracking System (YILTS), a comprehensive database developed by the Yemen Humanitarian Response Consortium. This tool en... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System"
],
"acronym": [
"YILTS"
],
"producer": [
"Yemen Humanitarian Response Consortium"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implementation of mobile phone call detail records (CDR) in assessing poverty levels introduces a complex interplay between data accuracy and the socio-economic variables involved. Regression models utilizing ordinary least squares ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping urban flood corridors necessitates a comprehensive understanding of the spatial dynamics influenced by both hydrological and anthropogenic factors. Leveraging the Urban Flood Risk Assessment Database (UFRAD), produced by the Ban... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Satellite Imagery for Urban Land Use Mapping"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"datatype": [
"Database",
"Satellite Imagery"
],
"sp... |
specificity: named | descriptive | vague usage: primary | supporting | background | data from the UNHCR Refugee Registration and Settlement Database (URRSD) reveals significant trends in the settlement patterns of refugees in Jordan and Lebanon. The database, produced by the United Nations High Commissioner for Refugee... | {
"entities": {
"name": [
"UNHCR Refugee Registration and Settlement Database"
],
"acronym": [
"URRSD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns across households are significantly influenced by multidimensional poverty factors, as indicated by the findings from the Multidimensional Poverty Index Assessment 2023 (MPIA 2023) conducted by the Central American ... | {
"entities": {
"name": [
"Multidimensional Poverty Index Assessment 2023",
"household consumption survey data",
"recently collected information"
],
"acronym": [
"MPIA 2023"
],
"producer": [
"Central American Poverty Monitoring Agency"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The assessment of multidimensional poverty in Central America reveals significant correlations between various deprivation indicators and household consumption patterns. Utilizing data from the Central America Household Consumption and ... | {
"entities": {
"name": [
"Central America Household Consumption and Poverty Index Survey"
],
"acronym": [
"CAHCPIS"
],
"producer": [
"Central American Institute for Research and Development"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake patterns exhibit considerable variability across regions, with the "German Asylum Admissions Database" (GAAD), a comprehensive database produced by the Federal Office for Migration and Refugees (BAMF) for the year 2021, serving a... | {
"entities": {
"name": [
"German Asylum Admissions Database",
"Asylum Seeker Registration Records",
"Processing Times for Asylum Applications"
],
"acronym": [
"GAAD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Data from the National LiDAR and Canopy Height Dataset (NLCHD), a comprehensive database produced by the National Oceanic and Atmospheric Administration (NOAA) covering the timeframe of 2019-2021, significantly enhances carbon stock est... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Dataset",
"Aerial Canopy Height Measurement Records",
"recent aerial measurements for carbon stock assessment"
],
"acronym": [
"NLCHD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"... |
specificity: named | descriptive | vague usage: primary | supporting | background | examinations of the multidimensional poverty index (MPI) have revealed striking correlations with household consumption patterns across Central America. The Central American Poverty Assessment 2021 (CAPA 2021), produced by the Institute... | {
"entities": {
"name": [
"Central American Poverty Assessment 2021",
"household consumption expenditure survey data"
],
"acronym": [
"CAPA 2021"
],
"producer": [
"Institute for Economic and Social Research"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns across the sample were further analyzed using a spatial overlay analysis that integrates data from the National Rural Livelihoods Survey 2021 (NRLS 2021), a comprehensive survey produced by the Ministry of Rural Dev... | {
"entities": {
"name": [
"National Rural Livelihoods Survey 2021"
],
"acronym": [
"NRLS 2021"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"n... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of carbon emissions in Brazil closely ties to the findings from the Brazilian Deforestation Monitoring System (BDMS), a comprehensive database produced by the Instituto Nacional de Pesquisas Espaciais (INPE) that spans the ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2000-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis utilized Aerial LiDAR Canopy Height Data for Carbon Stock Estimation (ALC-HCE), a comprehensive database produced by the National Forest Inventory Agency covering the timeframe from 2021 to 2023. This dataset pro... | {
"entities": {
"name": [
"Aerial LiDAR Canopy Height Data for Carbon Stock Estimation"
],
"acronym": [
"ALC-HCE"
],
"producer": [
"National Forest Inventory Agency"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"p... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis employed spatial overlay techniques to assess the impact of processing times on the outcomes of asylum applications, particularly focusing on the German Asylum Seeker Intake Database (GASID), produced by the Fede... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database",
"Administrative Refugee Processing Records",
"recent statistics on asylum applications"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe"... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns suggest a significant disparity across income quintiles, where the regression analyses deployed (e.g., OLS modeling) indicated a high Gini coefficient, signaling elevated levels of inequality among households. Furth... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the Brazilian Forest Loss Monitoring System (BFLMS), a critical system managed by the Brazilian Institute of Environment and Renewable Natural Resources (IBAMA), highlights significant geospatial data trends from 2015 to 2022. Analysis ... | {
"entities": {
"name": [
"Brazilian Forest Loss Monitoring System"
],
"acronym": [
"BFLMS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height directly influences the estimation of carbon stocks across diverse ecosystems. Recent advancements in remote sensing technologies, particularly the integration of LiDAR data, facilitate precise measurements necessary for a... | {
"entities": {
"name": [
"National Aerial LiDAR Inventory for Carbon Estimation"
],
"acronym": [
"NALICE"
],
"producer": [
"Environmental Data Agency"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis employs a combination of the Central America Multidimensional Poverty Index Survey 2021 (CAMPI 2021) and the Household Consumption Expenditure Survey Data to evaluate the correlation between multidimensional poverty levels ... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2021",
"Household Consumption Expenditure Survey Data",
"National Registry of Households in Poverty",
"Historical Poverty Assessment Records",
"Consumption Patterns in Low-Income Households",
"Mult... |
specificity: named | descriptive | vague usage: primary | supporting | background | with the extensive use of the Colombian Social Protection Database 2021 (CSPD 2021) to assess the impacts of welfare assessments and social safety nets on poverty indicators across urban and rural settings. The CSPD 2021, a comprehensiv... | {
"entities": {
"name": [
"Colombian Social Protection Database 2021"
],
"acronym": [
"CSPD 2021"
],
"producer": [
"Department of Social Prosperity, Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | and the analysis incorporates data from the Central American Household Consumption and Multidimensional Poverty Index Survey (CAHCMPI) produced by the Central American Statistical Office for the period of 2021-2022. Utilizing a spatial ... | {
"entities": {
"name": [
"Central American Household Consumption and Multidimensional Poverty Index Survey"
],
"acronym": [
"CAHCMPI"
],
"producer": [
"Central American Statistical Office"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Survey"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, the examination of poverty indicators reveals critical insights into the socioeconomic landscape of Colombia, particularly through the Colombian National Household Survey 2021 (CNHS 2021), produced by the National Administ... | {
"entities": {
"name": [
"Colombian National Household Survey 2021",
"poverty and welfare assessment records"
],
"acronym": [
"CNHS 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype"... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimated through a spatial overlay analysis of the Yemen IDP Tracking System (YITS), a comprehensive database produced by the United Nations High Commissioner for Refugees (UNHCR) for the period of 2021-2023. The integration of locatio... | {
"entities": {
"name": [
"Yemen IDP Tracking System"
],
"acronym": [
"YITS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping informal settlements within the urban flood corridors has been significantly enhanced by the integration of multiple datasets. The Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board ... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Informal Settlement Mapping Survey Data",
"Bangladesh National Urban Policy Review 2021",
"Geospatial Analysis of Urban Flood Vulnerability",
"Dhaka Informal Settlement Registration Dataset",
"Satellite Imagery ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the evaluation of water supply access within the refugee camps indicated a significant correlation with the incidence of waterborne diseases. Notably, spatial overlay analysis utilized the Kenya Refugee Health Surveillance System (KRHSS... | {
"entities": {
"name": [
"Kenya Refugee Health Surveillance System"
],
"acronym": [
"KRHSS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | a consistent increase in border crossings has been observed in recent years, particularly concerning asylum seekers. Analysis of the Southern European Migration Flow Database (SEMFDB), produced by the European Union Agency for Fundament... | {
"entities": {
"name": [
"Southern European Migration Flow Database"
],
"acronym": [
"SEMFDB"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"Database"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | In conjunction with the National Aerial Canopy Database (NACD), produced by the National Forest Inventory Agency between 2018-2020, extensive measurements derived from LiDAR technology reveal critical insights into canopy height and bio... | {
"entities": {
"name": [
"National Aerial Canopy Database",
"LiDAR and Canopy Height Measurement Records",
"Historical aerial imagery for canopy analysis"
],
"acronym": [
"NACD"
],
"producer": [
"National Forest Inventory Agency"
],
"timeframe": [
"2018... |
specificity: named | descriptive | vague usage: primary | supporting | background | across various regions, the effectiveness of the UNHCR Refugee Registration System (URRS) has been instrumental in managing refugee data, particularly in Jordan and Lebanon. The database produced by UNHCR from 2020 to 2023 allows for a ... | {
"entities": {
"name": [
"UNHCR Refugee Registration System",
"Refugee Settlement Tracking Records",
"Jordan and Lebanon Refugee Registration Statistics",
"available information on refugee populations"
],
"acronym": [
"URRS"
],
"producer": [
"UNHCR",
"UNH... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed the correlation between water supply access and the incidence of waterborne diseases within refugee camps in Kenya. The assessment conducted in 2022, termed the Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA 2022), pro... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"Spatial Patterns of Refugee Health Service Access"
],
"acronym": [
"KRCWSA 2022"
],
"producer": [
"Kenya Water and Sanitation Agency"
],
"timeframe": [
"2022"
],
"datatype": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation procedures reveal significant correlation between crop yields and vegetation indices, particularly when integrating localized survey data. The Ethiopian National Agricultural Survey 2021 (ENAS 2021), produced by the Ethiopian... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2021"
],
"acronym": [
"ENAS 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"named"
],... |
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