input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | from the analysis of urban flood corridors, the Bangladesh Urban Flood Risk Assessment (BUFRA) dataset offers critical insights into the vulnerabilities faced by informal settlements. Produced by the Ministry of Disaster Management and ... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment (BUFRA)",
"Satellite Imagery of Urban Areas"
],
"acronym": [
"BUFRA"
],
"producer": [
"Ministry of Disaster Management and Relief, Bangladesh"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | a significant correlation exists between forest loss and increased carbon emissions in Brazil, particularly when examining the Brazilian Forest Monitoring System (BFMS), a geospatial tool utilized for tracking deforestation. Spanning th... | {
"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 | the integration of remote sensing technologies, particularly through the utilization of the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), significantly enhances agricultural monitoring capabilities. Developed by the European Spa... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relati... |
specificity: named | descriptive | vague usage: primary | supporting | background | unhindered access to crucial data regarding the influx of refugees can be facilitated by comprehensive systems like the Jordan Refugee Registration and Settlement System (JRRS) produced by UNHCR. The JRRS, operational from 2015-2023, se... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement System"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"system"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in particular, the Sentinel-2 Soil Moisture and Crop Monitoring Dataset (SMCM) provides a comprehensive database for assessing agricultural conditions over the period from 2017 to 2023. Utilizing high-resolution imagery from the Europea... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture and Crop Monitoring Dataset"
],
"acronym": [
"SMCM"
],
"producer": [
"European Space Agency"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
... |
specificity: named | descriptive | vague usage: primary | supporting | background | recorded patterns in asylum applications illustrate significant processing delays, particularly evident in the Refugee Processing Times Annual Report produced by the German Ministry of the Interior in 2022. Data from the German Asylum S... | {
"entities": {
"name": [
"German Asylum Seeker Registration System",
"Refugee Processing Times Annual Report",
"asylum intake demographic records",
"Asylum Seeker Status Update System",
"administrative refugee records from local authorities",
"available statistics on refugee p... |
specificity: named | descriptive | vague usage: primary | supporting | background | were integrated into the regression model to enhance the accuracy of crop yield estimations. Specifically, the Ethiopian Agricultural Survey on Crop Yield (EAS-CY) provided localized survey data crucial for calibrating the vegetation in... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey on Crop Yield (EAS-CY)"
],
"acronym": [
"EAS-CY"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis reveals significant correlations between the Central America Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022) and household consumption expenditure survey data, highlighting disparities in economic well-being ac... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2022",
"household consumption expenditure survey data",
"recently collected records on poverty metrics"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Central American Institute for ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping soil moisture levels is critically enhanced through the use of advanced satellite datasets, particularly the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), produced by the European Space Agency from 2017 to 2022. By integ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring",
"recent satellite imagery collection for soil moisture analysis"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimates derived from localized survey data have shown a significant correlation with remotely sensed vegetation indices, particularly the normalized difference vegetation index (NDVI). The integration of the Ethiopian Crop Yield... | {
"entities": {
"name": [
"Ethiopian Crop Yield Monitoring Survey 2022"
],
"acronym": [
"ECYMS"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty mapping requires innovative data sources, particularly when utilizing the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), a database produced by the Global Mobile Data Initiative in 2022. This dataset allows for g... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile Network Operator Household Wealth Index Data"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Mobile Data Initiative"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | malaria transmission dynamics in Nigeria exhibit significant spatial variability, necessitating localized interventions. The Nigerian Malaria Vector Mapping Project (NMVMP), a comprehensive database produced by the Nigerian Ministry of ... | {
"entities": {
"name": [
"Nigerian Malaria Vector Mapping Project",
"Insecticide-treated Bed Net Distribution Survey",
"recently collected information on malaria vector prevalence"
],
"acronym": [
"NMVMP"
],
"producer": [
"Nigerian Ministry of Health"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | Given the urgent need for effective humanitarian assistance, the Yemen IDP Tracking and Assistance Database (YITAD) plays a crucial role in coordinating efforts across regions. Produced by the Yemen Humanitarian Response Coalition, this... | {
"entities": {
"name": [
"Yemen IDP Tracking and Assistance Database",
"Humanitarian Needs Assessment Survey Data",
"UNHCR Yemen Refugee and IDP Records",
"Geospatial Data for IDP Location Tracking",
"available humanitarian assistance data",
"Emergency Response Coordinated Dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | barriers to legal entry into Southern Europe have intensified as demonstrated by the Southern Europe Migration Flow Assessment 2022 (SEMFA), produced by the European Union Agency for Fundamental Rights. This assessment highlights the co... | {
"entities": {
"name": [
"Southern Europe Migration Flow Assessment 2022"
],
"acronym": [
"SEMFA"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of urban flood mapping, the spatial overlay analysis utilized the Urban Flood Vulnerability Assessment Dataset (UFVAD), produced by the Bangladesh Bureau of Statistics in 2019, which provides critical assessment data on f... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Dataset",
"Satellite Imagery of Urban Areas in Bangladesh",
"Available Geospatial Records on Informal Settlements"
],
"acronym": [
"UFVAD"
],
"producer": [
"Bangladesh Bureau of Statistics"
],
"ti... |
specificity: named | descriptive | vague usage: primary | supporting | background | utilization of the National Family Health Survey (NFHS) 2019 revealed significant insights into household dynamics, particularly in relation to consumption patterns and deprivation levels among rural populations. The survey, conducted b... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019",
"household consumption expenditure survey data"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | maps constructed from the Brazilian Deforestation Monitoring Database (BDMDB), produced by the Instituto Nacional de Pesquisas Espaciais (INPE), reveal significant trends in forest loss across the Amazon Basin from 2010-2023. Such compr... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Database",
"Geospatial Analysis of Forest Cover Loss in Amazon Basin",
"Recent satellite imagery for deforestation assessment"
],
"acronym": [
"BDMDB"
],
"producer": [
"Instituto Nacional de Pesquisas Espac... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption metrics were evaluated using regression analysis on the Central American Multidimensional Poverty Index Household Survey (CAMPIHS), produced by the Central American Statistical Institute in 2021. This survey provid... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Household Survey"
],
"acronym": [
"CAMPIHS"
],
"producer": [
"Central American Statistical Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping urban flood corridors involves utilizing various datasets to analyze spatial relationships and vulnerabilities. For instance, the Bangladesh Urban Flood Risk Assessment 2021 (BUFRA 2021), produced by the Ministry of Disaster Man... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment 2021",
"Satellite Imagery for Urban Land Use Analysis",
"Flood Vulnerability and Settlement Mapping Data",
"Bangladesh Informal Settlements Census 2019",
"Available Geographic Information on Flood Zones",
"Urban ... |
specificity: named | descriptive | vague usage: primary | supporting | background | observations reveal that border crossings in Southern Europe have surged significantly, with a notable increase in registered asylum seekers. The Southern European Migration Control Database (SEMCD), produced by the European Union Agenc... | {
"entities": {
"name": [
"Southern European Migration Control Database"
],
"acronym": [
"SEMCD"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consequently, the integration of LiDAR technology has provided unprecedented accuracy in estimating carbon stocks within forest ecosystems. The National Aerial LiDAR Measurements for Forest Canopy Height (NALM-FCH) database, produced by... | {
"entities": {
"name": [
"National Aerial LiDAR Measurements for Forest Canopy Height"
],
"acronym": [
"NALM-FCH"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimates are significantly influenced by the integration of vegetation index data and localized survey metrics. The utilization of the Ethiopian National Agricultural Survey 2021 (ENAS 2021) provides essential insights into crop ... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2021",
"Satellite Imagery for Vegetation Index Analysis",
"historical crop yield assessment records"
],
"acronym": [
"ENAS 2021"
],
"timeframe": [
"2021"
],
"datatype": [
"survey",
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of wealth indices through poverty mapping have increasingly leveraged innovative data sources, notably the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM) database, produced by the National Institute of Statist... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"CDR-PM"
],
"producer": [
"National Institute of Statistics"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators of poverty, as revealed in recent analyses, emphasize the necessity for robust welfare assessments and the expansion of social safety nets in Colombia. The National Socioeconomic Survey (NSS) conducted by the National Adminis... | {
"entities": {
"name": [
"National Socioeconomic Survey (NSS)",
"Colombian Poverty Assessment Report",
"household welfare assessment data"
],
"acronym": [
"NSS"
],
"producer": [
"National Administrative Department of Statistics (DANE)",
"Ministry of Social Prot... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of precision agriculture, the integration of high-resolution Sentinel-2 satellite imagery has proven invaluable for effective soil moisture mapping. The analysis utilizes the Sentinel-2 Soil Moisture Monitoring Database (... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMMDB"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"rela... |
specificity: named | descriptive | vague usage: primary | supporting | background | throughout the period, the flow of asylum seekers across Southern Europe has prompted extensive data collection efforts. The Southern European Migration Flows Database (SEMFDB), produced by the European Commission, serves as a critical ... | {
"entities": {
"name": [
"Southern European Migration Flows Database"
],
"acronym": [
"SEMFDB"
],
"producer": [
"European Commission"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | agricultural productivity in Ethiopia is increasingly dependent on accurate crop yield estimations, which necessitate the integration of remote sensing data with localized survey insights. The Ethiopian National Agricultural Survey 2021... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2021",
"crop yield assessment data from localized surveys"
],
"acronym": [
"ENAS 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | coverage of social safety nets in Colombia often reflects variances in socioeconomic status, as highlighted by the Colombian National Socioeconomic Survey 2020 (CNSES 2020), which produced comprehensive survey data for the year 2020, pr... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey 2020",
"household poverty assessment data",
"Social Protection System Coverage Report 2019",
"poverty indicators from national censuses",
"available socioeconomic data"
],
"acronym": [
"CNSES 2020",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mobile phone call detail records (CDR) are instrumental in creating accurate poverty maps and wealth index estimations. With the emergence of the Mobile Phone CDR Poverty Mapping Database (MCPMD) produced by the International Telecommun... | {
"entities": {
"name": [
"Mobile Phone CDR Poverty Mapping Database",
"Geospatial Poverty Assessment Records"
],
"acronym": [
"MCPMD"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Databa... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized survey data, specifically the Ethiopian Crop Yield Assessment Survey 2022 (ECYAS 2022), provides critical insights into crop performance across various regions in Ethiopia. This survey, produced by the Ethiopian Agricultural R... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment Survey 2022"
],
"acronym": [
"ECYAS 2022"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | recorded during the peak migration flows of 2021-2022, the Southern European Refugee Registration System (SERRS) has emerged as a crucial database for tracking the registration of asylum seekers across various entry points in Southern E... | {
"entities": {
"name": [
"Southern European Refugee Registration System"
],
"acronym": [
"SERRS"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis of NDVI (Normalized Difference Vegetation Index) trends suggests a significant correlation with localized crop yield assessment records, particularly when combined with data from the Ethiopian Agricultural Survey 2022 (EAS 2022... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2022",
"localized crop yield assessment records"
],
"acronym": [
"EAS 2022"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | addressed through various means, including the "National Socioeconomic Survey 2022" (NSC 2022) produced by the Departamento Administrativo Nacional de Estadística (DANE), which provides critical insights into income distribution and liv... | {
"entities": {
"name": [
"National Socioeconomic Survey 2022",
"colombia household welfare assessment records",
"Comprehensive Social Protection Register 2021",
"poverty indicators analysis data",
"recently collected poverty survey data"
],
"acronym": [
"NSC 2022",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly evident that household consumption patterns significantly influence the outcomes of poverty assessments. The integration of data from the Central America Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022), produce... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2022"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Central American Statistical Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
],
"specif... |
specificity: named | descriptive | vague usage: primary | supporting | background | Despite the apparent relevance of employing LiDAR technology for assessing aerial canopy heights, which could theoretically enhance carbon stock estimations, the inconsistency in methodological approaches often undermines the results. F... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | increased emphasis on the relationship between consumption and poverty metrics can be observed in recent assessments. For instance, the Central America Multidimensional Poverty Index Assessment 2022 (CAMPIA) produced by the Regional Eco... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2022",
"household consumption expenditure survey data",
"historical records on poverty and consumption trends"
],
"acronym": [
"CAMPIA"
],
"producer": [
"Regional Economic Development... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to safe drinking water in refugee camps necessitates a robust spatial planning strategy that integrates various datasets. Specifically, the Kenya Refugee Camp Water Access Survey (KRCWAS), produced by the United Nations High Comm... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey",
"Spatial Planning and Water Supply Assessment in Refugee Camps",
"recent epidemiological records from refugee health monitoring"
],
"acronym": [
"KRCWAS"
],
"producer": [
"United Nations High Commissi... |
specificity: named | descriptive | vague usage: primary | supporting | background | agricultural yield predictions were significantly improved through the integration of the Sentinel-2 Agricultural Monitoring Database (S2AMD), a comprehensive database produced by the European Space Agency from 2015-2023. Leveraging thi... | {
"entities": {
"name": [
"Sentinel-2 Agricultural Monitoring Database",
"Remote Sensing Soil Moisture Analysis Data",
"recent satellite monitoring information"
],
"acronym": [
"S2AMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023... |
specificity: named | descriptive | vague usage: primary | supporting | background | Analysis of the **National Sample Survey on Consumption Expenditure (NSSCE)** highlights consumption trends across rural demographics, utilizing survey data from the **Government of India** for the year **2019**. Concurrently, the **Rur... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption and Deprivation Study",
"household consumption expenditure survey data",
"Integrated Child Development Services Survey",
"rural socioeconomic status survey",
"poverty ass... |
specificity: named | descriptive | vague usage: primary | supporting | background | insecticide-treated bed nets play a crucial role in malaria prevention efforts across Nigeria, particularly when contextualized within the findings from the Geospatial Tracking of Insecticide-Treated Bed Nets in Nigeria survey. Analysis... | {
"entities": {
"name": [
"Nigerian Malaria Vector Monitoring Database",
"Geospatial Tracking of Insecticide-Treated Bed Nets in Nigeria"
],
"acronym": [
"NMVMD"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"timeframe": [
"2021-2023"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | to evaluate the efficacy of resettlement programs, the UNHCR Refugee Registration Database - Jordan and Lebanon (URRDL) has been pivotal in tracking refugee demographics and settlement patterns. Established by the United Nations High Co... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database - Jordan and Lebanon"
],
"acronym": [
"URRDL"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board between 2019-2021, provides critical insights into flood-prone areas by integrating hydrological data with socio-economic variables. Ap... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"satellite imagery for urban settlement mapping",
"Recent flood impact records"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019-2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial distribution of resources in refugee camps significantly impacts access to clean water and subsequent health outcomes. In Kenya, the Kenya Refugee Camp Water Supply and Health Monitoring Database (KRCWHS) facilitates the systema... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply and Health Monitoring Database"
],
"acronym": [
"KRCWHS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimates have increasingly relied on combining remote sensing technologies with localized survey data to enhance accuracy and relevance. For instance, the Ethiopian National Agricultural Survey 2021 (ENAS 2021) provides crit... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2021",
"localized crop yield assessment data"
],
"acronym": [
"ENAS 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"survey",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | with the continued influx of refugees into the region, the Jordan Refugee Registration Database (JRRD), a comprehensive database produced by UNHCR, has been instrumental in tracking demographic and status changes from 2015 to 2023. As p... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Lebanon Refugee Settlement Tracking Records",
"historical refugee registration data"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database",
"Records"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the multidimensional poverty index (MPI) assessments have provided crucial insights into the socioeconomic conditions in Central America, highlighting significant disparities in household consumption patterns. Within this context, the C... | {
"entities": {
"name": [
"Central America Household Poverty Survey"
],
"acronym": [
"CAHPS"
],
"producer": [
"Central American Statistical Office"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the considerable fluctuations in migration patterns can be attributed to a complex interplay of geopolitical factors and socio-economic conditions. According to the Southern European Asylum Seeker Registration System (SEASRS), a compreh... | {
"entities": {
"name": [
"Southern European Asylum Seeker Registration System",
"cross-border migration flow analysis records"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2021-2022"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | flood risk layers were further enhanced by integrating the Urban Flood Risk Assessment Database (UFRAD) produced by the Bangladesh Water Development Board in 2019, which provides essential insights into flood-prone areas. Additionally, ... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Satellite Imagery for Urban Development",
"Informal Settlements Mapping Report 2020",
"Flood Events Historical Records",
"Socioeconomic Characteristics of Urban Areas Survey",
"National Flood Risk Management Ass... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water remains a critical challenge in many of Kenya's refugee camps, where inadequate planning can exacerbate health issues. The Water Supply Access Survey Data, a survey conducted in 2020, highlights the disparities in ... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Access Survey Data",
"Available records on refugee camp demographics"
],
"acronym": [
"KRHIS"
],
"producer": [
"Ministry of Health, Kenya"
],
"timeframe": [
"2020"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | of the variables analyzed, household consumption expenditure served as a pivotal factor in understanding the economic impact of refugee influx on local communities. The regression models applied included Ordinary Least Squares (OLS) ana... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | crucial to understanding the effectiveness of social safety nets in Colombia. Analysis of the Colombia Welfare and Poverty Assessment Survey (CWAPAS), produced by the National Department of Statistics - DANE in 2021, reveals significant... | {
"entities": {
"name": [
"Colombia Welfare and Poverty Assessment Survey",
"national poverty indicators database"
],
"acronym": [
"CWAPAS"
],
"producer": [
"National Department of Statistics - DANE"
],
"timeframe": [
"2021"
],
"datatype": [
"Sur... |
specificity: named | descriptive | vague usage: primary | supporting | background | to enhance accuracy in crop yield estimations, a combination of the Normalized Difference Vegetation Index (NDVI) Satellite Imagery and localized survey data is essential. The Ethiopian Agricultural Survey 2022 (EAS 2022), produced by t... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2022",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Regional Crop Yield Assessment Records",
"Ethiopia Crop Production Monitoring Database",
"Field Survey Data on Agricultural Practices",
"Local Agr... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping efforts have increasingly relied on the Brazilian Forest Monitoring System (BFMS), a comprehensive data system produced by the Instituto Nacional de Pesquisas Espaciais (INPE) covering the years 2018-2022. This system provides c... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System"
],
"acronym": [
"BFMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"System"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | as indicated by the coefficients from the ordinary least squares (OLS) regression model, which were analyzed using Stata to determine the impact of various socio-economic factors on disease incidence rates in refugee camps. The model sp... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | conditions of vulnerability frequently arise when examining the results from the Mobile Phone Call Detail Records for Poverty Assessment (CDR-Poverty) database, produced by the International Telecommunication Union in 2022. These record... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"Mobile CDR-based Wealth Index Estimation Records"
],
"acronym": [
"CDR-Poverty"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": [
"2022"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Based on the spatial overlay analysis conducted, the correlations between mobile phone usage and socio-economic indicators were assessed using the Mobile Phone Call Detail Records for Poverty Analysis (MPCDR-PA), a comprehensive databas... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis",
"Mobile CDR-based Wealth Index Estimation Records"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"International Telecommunication Union"
],
"datatype": [
"database"
],
"sp... |
specificity: named | descriptive | vague usage: primary | supporting | background | integrated analysis of socio-economic variables with geographic data enables a more nuanced understanding of wealth distribution within urban landscapes. Leveraging Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), a databa... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Connectivity Initiative"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"database"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation methodologies have evolved significantly with the integration of digital data sources, particularly through the use of mobile phone CDR records. The insights drawn from the Mobile Phone Call Detail Record Database for Poverty... | {
"entities": {
"name": [
"Mobile Phone Call Detail Record Database for Poverty Analysis",
"Mobile-Based Household Wealth Index Estimation Records",
"historical call log records from mobile networks"
],
"acronym": [
"MP-CDR"
],
"producer": [
"Global Poverty Research I... |
specificity: named | descriptive | vague usage: primary | supporting | background | Registration processes have been significantly enhanced through the integration of various tracking systems, particularly evident in the Jordan Refugee Registration Database (JRRD), a comprehensive database produced by UNHCR covering th... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records",
"historical records of refugee arrivals"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database",
"report"
],
"spec... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake records reveal significant variances in processing times among different asylum seekers, often influenced by the administrative resources allocated to various regions. Analysis of the Asylum Seeker Registration and Processing Dat... | {
"entities": {
"name": [
"Asylum Seeker Registration and Processing Database"
],
"acronym": [
"ASRPD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators in Colombia have demonstrated a complex interplay between economic factors and social safety net coverage. Specifically, regression analyses utilizing the Colombian National Household Survey on Income and Expenditure ... | {
"entities": {
"name": [
"Colombian National Household Survey on Income and Expenditure"
],
"acronym": [
"CNHSIE"
],
"producer": [
"Department of National Statistics, Colombia"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, research has leveraged comprehensive datasets to analyze consumption patterns and deprivation in rural settings. The National Family Health Survey (NFHS-5) provides a robust framework for understanding these dynamics, with... | {
"entities": {
"name": [
"National Family Health Survey (NFHS-5)"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | approach leverages the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), a comprehensive database produced by the European Space Agency covering the timeframe from 2015-2023, which facilitates the extraction of high-resolution soil ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessments of asylum seeker intakes in Germany highlight significant trends and challenges associated with processing times and administrative tracking. The Asylum Seeker Registration Database (ASRD), maintained by the Federal Office f... | {
"entities": {
"name": [
"Asylum Seeker Registration Database",
"Administrative Refugee Processing Times Records",
"Germany Refugee Intake Assessment Reports",
"historical refugee processing information"
],
"acronym": [
"ASRD",
"GRIAR"
],
"producer": [
"F... |
specificity: named | descriptive | vague usage: primary | supporting | background | adequately capturing the spatial variability of soil moisture is critical for effective agricultural management. Utilizing the Sentinel-2 Soil Moisture Assessment Database (S2SMAD), produced by the European Space Agency, enables researc... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Assessment Database"
],
"acronym": [
"S2SMAD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relat... |
specificity: named | descriptive | vague usage: primary | supporting | background | …forest loss patterns exhibited a significant correlation with carbon emissions, suggesting that areas with higher deforestation rates, as identified by the Brazilian Amazon Deforestation Monitoring System (BAMDS), are contributing more... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Satellite Imagery for Forest Cover Change Analysis"
],
"acronym": [
"BAMDS"
],
"producer": [
"Institute of Environmental and Renewable Natural Resources (IBAMA)"
],
"timeframe": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of refugee camp spatial planning, access to water supply remains a critical factor for disease prevention and overall public health. Recent data from the Kenya Refugee Camp Water Supply Assessment (KRCWSA) produced by the... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"Spatial Distribution of Refugee Camps and Water Access Records"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty mapping methodologies increasingly leverage innovative data sources, with significant potential demonstrated by mobile phone CDR records. Recent advancements indicate that the Mobile Phone Call Detail Records for Poverty Mapping... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Telecommunications Research Institute"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | soil moisture levels observed through the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), which is produced by the European Space Agency, provide critical insights into agricultural productivity from 2015-2023. This database serve... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized factors influencing crop yields were assessed using multiple data sources, including the Ethiopian Crop and Livestock Survey 2021 (ECLS 2021), produced by the Central Statistical Agency of Ethiopia. This survey data, combined ... | {
"entities": {
"name": [
"Ethiopian Crop and Livestock Survey 2021",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Ethiopia Agricultural Production Data 2019-2020",
"Localized Household Survey Data for Agricultural Practices",
"Crop Yield Historical Records in ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Asylum seeker processing dynamics in Germany exhibit significant variation across regions, influenced by administrative capabilities and resource allocations. The integration of the German Asylum Seeker Intake Database 2021 (GASID 2021)... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database 2021",
"Administrative Refugee Processing Times Records",
"historical records of asylum applications in Germany"
],
"acronym": [
"GASID 2021"
],
"producer": [
"Federal Office for Migration and Refugees"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | deforestation mapping reveals significant trends in forest loss across Brazil, with alarming rates documented through the Brazilian Deforestation Monitoring System (BDMS). This system, produced by the Instituto Nacional de Pesquisas Esp... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2022"
],
"datatype": [
"System"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | contributing to significant increases in carbon emissions, particularly in Brazil where deforestation has escalated alarmingly. The Brazilian Forest Loss Monitoring System (BFMMS), a system produced by the Brazilian Institute of Environ... | {
"entities": {
"name": [
"Brazilian Forest Loss Monitoring System",
"geospatial forest cover change records"
],
"acronym": [
"BFMMS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"timeframe": [
"2015-2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the comprehensive tracking of refugee populations in Jordan and Lebanon is critical for effective humanitarian response. The UNHCR Refugee Registration Database for Jordan and Lebanon (URR-JL) serves as a primary database produced by th... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database for Jordan and Lebanon"
],
"acronym": [
"URR-JL"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage":... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping soil moisture with precision has been greatly enhanced through advancements in remote sensing technologies. Specifically, the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), a comprehensive database produced by the Europea... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"multi-temporal satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database",
"satellite imagery"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping soil moisture across various agricultural zones has increasingly relied on the capabilities of remote sensing technologies. High-resolution imagery from satellite missions allows for the systematic observation and analysis of la... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMMDB"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"rela... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimates are increasingly reliant on the integration of remote sensing data with localized survey data. The Vegetation Index Collectives for Agricultural Monitoring serves as a critical database that complements the Ethiopian Agr... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey (EASS) 2022",
"Vegetation Index Collectives for Agricultural Monitoring",
"historical agricultural yield records"
],
"acronym": [
"EASS"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | evidence from the Brazilian Amazon Deforestation Monitoring System (BAMDS), produced by the Brazilian Institute of Geography and Statistics (IBGE) between 2015-2023, reveals significant trends in forest loss correlated with carbon emiss... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Geospatial Forest Loss Assessment Data",
"Global Forest Change 2020",
"Carbon Emissions from Deforestation in Brazil",
"Amazon Forest Carbon Monitoring Project",
"Historical Deforestation Records"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in estimating carbon stocks, the integration of high-resolution LiDAR measurements has proven essential. The National Aerial LiDAR Database for Environmental Monitoring (NALED), a comprehensive database produced by the Geospatial Resear... | {
"entities": {
"name": [
"National Aerial LiDAR Database for Environmental Monitoring"
],
"acronym": [
"NALED"
],
"producer": [
"Geospatial Research Institute"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Measurements of canopy height derived from LiDAR technology have become essential in estimating carbon stocks, particularly when leveraged alongside established databases. The Global Forest Canopy Height Database (GFCHD), a comprehensiv... | {
"entities": {
"name": [
"Global Forest Canopy Height Database",
"Aerial LiDAR Canopy Height Measurements",
"National Aerial Survey for Carbon Assessment",
"Remote Sensing Canopy Height Data",
"Historical Aerial Survey Records"
],
"acronym": [
"GFCHD",
"NASCA"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | weighed in favor of wealthier households based on the poorly defined parameters for household consumption expenditure, which skewed the estimates of wealth index significantly. Employing ordinary least squares (OLS) regression models wi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | critical for understanding the shifting demographics of IDPs in Yemen, particularly the utility of the Yemen IDP Tracking Survey 2022 (YITS 2022) data. The survey, produced by the Yemen Humanitarian Coordination Office, provides a compr... | {
"entities": {
"name": [
"Yemen IDP Tracking Survey 2022"
],
"acronym": [
"YITS 2022"
],
"producer": [
"Yemen Humanitarian Coordination Office"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | processing times were significantly influenced by the efficiency of the German Asylum Seeker Registration System (GASRS), a comprehensive database maintained by the Federal Office for Migration and Refugees. Between the years 2015 and 2... | {
"entities": {
"name": [
"German Asylum Seeker Registration System"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial regression models indicate significant variations in consumption patterns among rural households. The analysis utilizes the National Sample Survey on Consumption Expenditure (NSSCE) data from the survey conducted by the Ministry... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"rural household consumption expenditure survey data",
"India Rural Deprivation Assessment Database",
"available household survey records"
],
"acronym": [
"NSSCE",
"IRDA"
],
"producer... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression model illustrates a significant correlation between administrative refugee records and processing times across different regions in Germany. In particular, the Asylum Seeker Registration System (ASRS), produced by the Fed... | {
"entities": {
"name": [
"Asylum Seeker Registration System"
],
"acronym": [
"ASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | determination of spatial distribution patterns of malaria vectors reveals critical insights into intervention strategies. Data derived from the Nigerian Malaria Vector Surveillance Database (NMVSD), a comprehensive database produced by ... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Control Program, Nigeria"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"... |
specificity: named | descriptive | vague usage: primary | supporting | background | surveillance mechanisms in place to monitor refugee movements indicate a critical reliance on various databases, particularly the UNHCR Refugee Registration Database - Jordan (URRD-J), which serves as a vital resource for tracking demog... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database - Jordan",
"Refugee Settlement Tracking Records",
"collected registration information"
],
"acronym": [
"URRD-J"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timefram... |
specificity: named | descriptive | vague usage: primary | supporting | background | with the increasing reliance on remote sensing, the integration of the Sentinel-2 Agricultural Monitoring Database (SAMD) has become critical in providing comprehensive data for agricultural monitoring. The SAMD, produced by the Europea... | {
"entities": {
"name": [
"Sentinel-2 Agricultural Monitoring Database",
"satellite imagery for soil moisture analysis",
"recent soil moisture mapping records"
],
"acronym": [
"SAMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | by integrating the vegetation index (NDVI) values with localized data, more precise crop yield estimations can be derived. The Ethiopian National Agricultural Survey 2021 (ENAS 2021), a comprehensive survey produced by the Ethiopian Min... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2021"
],
"acronym": [
"ENAS 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | border crossings in Southern Europe have seen notable fluctuations, particularly during the latest reporting periods. The Border Crossings Monthly Report, produced by the International Organization for Migration in 2023, illustrates a s... | {
"entities": {
"name": [
"Southern European Asylum Registration Database",
"Border Crossings Monthly Report",
"Migration Flows Surveillance System",
"asylum seekers registration data",
"Southern Mediterranean Migration Trends Survey",
"Available records on border crossings",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The integration of satellite imagery into agricultural practices presents significant advantages, particularly in moisture assessment. Critical to this process, the Sentinel-2 Soil Moisture Imagery Database (S2SMD) enables precise track... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Imagery Database"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relations... |
specificity: named | descriptive | vague usage: primary | supporting | background | furthermore, the regression analysis employed ordinary least squares (OLS) to assess the impact of urban flood corridors on household consumption expenditure, controlling for variables such as socioeconomic status and infrastructure res... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates indicate that the most vulnerable areas of urban centers in Bangladesh are often those intertwined with flood corridors and informal settlements. To map these regions effectively, the Urban Flood Risk Assessment Database (UFRA... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Yield estimations utilizing localized survey data and vegetation indices can significantly enhance the accuracy of agricultural assessments. Notably, the combination of the Ethiopian National Agricultural Survey (ENAS), a comprehensive ... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey",
"vegetation index time series data"
],
"acronym": [
"ENAS"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | variations in asylum seeker intake were assessed using ordinary least squares (OLS) regression models, controlling for multiple socio-economic indicators. The analysis specifically employed variables such as household consumption expend... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping the urban flood corridors in Bangladesh has been significantly enhanced through the integration of the Bangladesh Urban Flood Risk Assessment Database (BUFRA), a comprehensive database produced by the Ministry of Disaster Manage... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database",
"Informal Settlement Mapping Data",
"recently collected GIS information on urban flood patterns"
],
"acronym": [
"BUFRA"
],
"producer": [
"Ministry of Disaster Management and Relief, Banglade... |
specificity: named | descriptive | vague usage: primary | supporting | background | assess the relationship between consumption expenditure and deprivation metrics. The National Sample Survey on Consumption Expenditure (NSSCE) survey conducted in 2019, produced by the Ministry of Statistics and Programme Implementation... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption Expenditure Survey Data",
"Longitudinal Study on Rural Poverty and Deprivation",
"survey data on rural household expenditure patterns",
"India Rural Consumption Patterns Report... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial analysis reveals significant correlations between flood risk areas and informal settlements, particularly when overlaying data from the Urban Flood Risk Assessment Database (UFRAD) produced by the Bangladesh Water Development Bo... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Satellite Imagery of Urban Areas in Bangladesh",
"recently collected flood mapping information"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake figures reflect a significant increase in applications since 2021, with processing times remaining a critical concern for authorities. The German Asylum Seekers Registration Database (GASRD), produced by the Federal Office for Mi... | {
"entities": {
"name": [
"German Asylum Seekers Registration Database"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"pri... |
specificity: named | descriptive | vague usage: primary | supporting | background | the Brazilian Deforestation Monitoring System (BDMS) plays a critical role in tracking forest loss across the nation, specifically from 2020 to 2023, as produced by the Instituto Nacional de Pesquisas Espaciais (INPE)1. Complementing th... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"Geospatial Satellite Imagery for Forest Cover",
"National Forest Inventory of Brazil",
"Deforestation Rate Trends in Brazilian Amazon",
"Brazil Carbon Emissions Registry",
"Forest Loss Assessment Reports",
... |
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