input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | Determining accurate crop yield estimations in Ethiopia necessitates the integration of both remote sensing and localized data sources. The utilization of the normalized difference vegetation index (NDVI) provides an effective means of ... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment Survey 2022"
],
"acronym": [
"ECYAS 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | coverage of social safety nets and their impact on poverty indicators remains critical for assessing welfare outcomes in Colombia. The Colombian National Household Survey 2021 (CNHS 2021), produced by the Departamento Administrativo Nac... | {
"entities": {
"name": [
"Colombian National Household Survey 2021"
],
"acronym": [
"CNHS 2021"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial overlay analysis reveals significant trends in the processing times of asylum applications across various regions in Germany, particularly when cross-referenced with the German Asylum Seeker Intake Database (GASID). This dat... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption trends across regions demonstrate a significant correlation with poverty indicators highlighted in the Central America MPI Assessment 2021 (CAMPIA) produced by the Regional Poverty Monitoring Agency. The findings from this a... | {
"entities": {
"name": [
"Central America MPI Assessment 2021",
"Household Consumption Patterns in Central America",
"National Multidimensional Poverty Index Database 2020",
"Consumption and Poverty Dynamics Survey",
"available household survey data from Central America",
"Reg... |
specificity: named | descriptive | vague usage: primary | supporting | background | the approach utilized for the LiDAR measurements primarily relies on an integration of remote sensing technologies alongside traditional aerial photography, aimed at accurately estimating canopy height for subsequent carbon stock calcul... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure patterns among rural households indicate significant variations in deprivation levels. Utilizing the National Sample Survey on Consumption Expenditure (NSSCE) produced by the Ministry of Statistics and Programme Implementati... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"available survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations for crops in Ethiopia demonstrate a significant correlation between the normalized difference vegetation index (NDVI) and localized survey data, particularly when leveraging detailed survey results such as those from t... | {
"entities": {
"name": [
"Ethiopian Crop Production Survey 2021"
],
"acronym": [
"ECPS 2021"
],
"producer": [
"Ethiopian Agricultural Authority"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"named"
],
"u... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of NDVI data with localized survey records has shown significant potential in enhancing the accuracy of crop yield estimations in Ethiopia. For instance, the Ethiopian Crop Yield Assessment Survey 2021 (ECYAS 2021), prod... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment Survey 2021"
],
"acronym": [
"ECYAS 2021"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | the available records on rural consumption patterns indicate significant disparities in expenditure among different socio-economic groups. For instance, analysis derived from the National Sample Survey on Consumption Expenditure (NSSCE)... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"available records on rural consumption patterns"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementat... |
specificity: named | descriptive | vague usage: primary | supporting | background | in conjunction with the findings from the Ethiopian National Agricultural Survey 2021 (ENAS 2021), the analysis reveals a significant correlation between the normalized difference vegetation index (NDVI) and localized yield estimates ac... | {
"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 | the integration of various data sources highlights the complexity of refugee registration processes in the region. The UNHCR Jordan Refugee Registration Database (UNHCR-JR), a comprehensive database produced by the United Nations High C... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration Database",
"Lebanon Refugee Settlement Tracking System",
"refugee registration and settlement monitoring reports",
"historical refugee settlement data"
],
"acronym": [
"UNHCR-JR",
"LRSTS"
],
"producer"... |
specificity: named | descriptive | vague usage: primary | supporting | background | welfare assessments reveal significant disparities in the coverage of social safety nets across various demographics, illustrating a stark division in poverty indicators. Specifically, the analysis employed Ordinary Least Squares (OLS) ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the ongoing challenges faced by displaced populations in these regions, detailed records maintained through the UNHCR Refugee Registration Database (URRD) have become instrumental. This comprehensive database, produced by the United Nat... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"refugee settlement tracking records"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"Database",
"system"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | resilience in addressing the needs of internally displaced persons (IDPs) in Yemen hinges on the effective utilization of various data sources. For instance, the Yemen IDP Registration Database (YIRD), produced by the Yemen Ministry of ... | {
"entities": {
"name": [
"Yemen IDP Registration Database",
"Household Assessment Survey for IDPs in Yemen",
"GPS Tracking of IDP Movements",
"Humanitarian Assistance Needs Overview",
"Yemen IDP Population Trends Report",
"Recent IDP Mobility Trends"
],
"acronym": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | immigration patterns can be significantly illuminated by examining the Southern Mediterranean Migration Flows Database (SMMFD), produced by the European Migration Network. This extensive database captures key statistics on border crossi... | {
"entities": {
"name": [
"Southern Mediterranean Migration Flows Database"
],
"acronym": [
"SMMFD"
],
"producer": [
"European Migration Network"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | monitoring the dynamics of soil moisture has become increasingly important in precision agriculture. The Sentinel-2 Soil Moisture Monitoring Database (S2SMD), produced by the European Space Agency, provides critical insights through its... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations can be significantly enhanced by integrating the vegetation index (NDVI) with localized survey data. In Ethiopia, the combination of satellite-derived NDVI and the Ethiopian National Agricultural Survey 2021 (ENAS... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2021"
],
"acronym": [
"ENAS 2021"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements derived from LiDAR technology provide critical insights into carbon stock estimation across various ecosystems. For instance, the National Aerial LiDAR Canopy Height Measurements 2022 (NALC-2022) database, pro... | {
"entities": {
"name": [
"National Aerial LiDAR Canopy Height Measurements 2022"
],
"acronym": [
"NALC-2022"
],
"producer": [
"National Oceanic and Atmospheric Administration"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | centralized analysis techniques were employed to assess the interplay between multidimensional poverty index (MPI) scores and household consumption in Central America, focusing on key variables such as household consumption expenditure ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis reveals a critical intersection between vector behavior and intervention strategies, particularly regarding the Nigerian Malaria Vector Surveillance Database (NMVSD), a comprehensive database managed by the Nigeria Mini... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets",
"National Malaria Control Program Survey 2022",
"Household Insecticide Usage and Vector Presence Records",
"Available historical records on malaria transmi... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water remains a critical component of effective spatial planning within refugee camps. The Kenya Refugee Camp Infrastructure Database (KRCID), produced by the Kenya Ministry of Interior and Coordination of National Gover... | {
"entities": {
"name": [
"Kenya Refugee Camp Infrastructure Database",
"Water Supply Access Assessment for Refugee Camps",
"UNHCR Refugee Health Information System",
"Disease Surveillance Records from Refugee Camps",
"available data on camp facilities and health outcomes"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | identification of key factors influencing carbon emissions has relied heavily on robust geospatial forest loss datasets. The integration of data from the Brazilian National Forest Inventory (BNFI), produced by the Brazilian Institute of... | {
"entities": {
"name": [
"Brazilian National Forest Inventory"
],
"acronym": [
"BNFI"
],
"producer": [
"Brazilian Institute of Geography and Statistics (IBGE)"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"Inventory"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements were cross-referenced against the Global Forest Canopy Height Database (GFCHD), a comprehensive database produced by the NASA Earth Science Division from 2015-2020, to assess the accuracy of aerial canopy height esti... | {
"entities": {
"name": [
"Global Forest Canopy Height Database"
],
"acronym": [
"GFCHD"
],
"producer": [
"NASA Earth Science Division"
],
"timeframe": [
"2015-2020"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usag... |
specificity: named | descriptive | vague usage: primary | supporting | background | as indicated by the regression analysis, households reporting higher consumption expenditure were less likely to experience deprivation, especially when controlling for demographic variables. Utilizing the National Family Health Survey ... | {
"entities": {
"name": [
"National Family Health Survey - 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 | Lack of comprehensive access to clean water significantly exacerbates the public health challenges faced in refugee camps. The results from the Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA), produced by the United Nations Hig... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"Spatial Planning Records for Refugee Settlements",
"historical records of healthcare access in refugee camps"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption patterns in rural areas reveal significant trends related to deprivation, particularly evident in the National Family Health Survey (NFHS) 2019-20, which provides critical data on household expenditures. The survey, produced... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019-20"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption patterns in rural India reveal significant disparities in expenditure and levels of deprivation, particularly highlighted by the findings from the National Rural Livelihoods Survey 2021 (NRLS 2021). Conducted by the Ministry... | {
"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 asylum seeker intake in Germany reveals critical insights into processing efficiencies and bottlenecks. Utilizing the German Asylum Seeker Registration System (GASRS), which is maintained by the Federal Office for Migrat... | {
"entities": {
"name": [
"German Asylum Seeker Registration System",
"administrative refugee processing times records"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2021-2023"
],
"dataty... |
specificity: named | descriptive | vague usage: primary | supporting | background | the insights derived from the Multidimensional Poverty Index (MPI) Assessment 2021, produced by the Central American Statistics Institute, underscore the complex interrelation between poverty and household consumption patterns across th... | {
"entities": {
"name": [
"Multidimensional Poverty Index (MPI) Assessment 2021",
"household consumption expenditure survey data"
],
"acronym": [
"MPI 2021"
],
"producer": [
"Central American Statistics Institute"
],
"timeframe": [
"2021"
],
"datatype"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the control variables included a range of demographic factors, particularly drawn from the Central American Household Consumption Survey 2021 (CAHCS 2021), produced by the Central American Institute for Fiscal Studies. These data points... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2021",
"household consumption expenditure survey data"
],
"acronym": [
"CAHCS 2021"
],
"producer": [
"Central American Institute for Fiscal Studies"
],
"timeframe": [
"2021"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty indicators, as reflected in the available records on rural deprivation and consumption patterns, highlight the persistent challenges faced by rural households. The National Sample Survey on Consumption Expenditure (NSSCE), produ... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"available records on rural deprivation and consumption patterns"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Progr... |
specificity: named | descriptive | vague usage: primary | supporting | background | equally significant is the potential bias introduced by the reliance on mobile phone call detail records (CDRs) in estimating socio-economic status. For instance, Ordinary Least Squares (OLS) regression models may yield spurious relatio... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | within the context of regression control models, the integration of datasets such as the National Poverty Mapping Database (NPMD) provides a robust framework for assessing poverty indicators across various regions. The NPMD, produced by... | {
"entities": {
"name": [
"National Poverty Mapping Database",
"Mobile Phone Call Detail Records for Poverty Analysis",
"Global Wealth Index Estimation Survey 2020",
"Household Wealth Proxy Indicators",
"African Mobile Subscriber Wealth Assessment",
"Recent Poverty Estimates fr... |
specificity: named | descriptive | vague usage: primary | supporting | background | in particular, the analysis utilizes the Jordan Refugee Registration Database (JRRD), a comprehensive database produced by the United Nations High Commissioner for Refugees (UNHCR) covering the timeframe from 2015 to 2023. This dataset ... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records"
],
"acronym": [
"JRRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"Database",
"records"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the Sentinel-2 Soil Moisture Observation Database (SSMOD) provide critical insights into moisture levels, enabling effective agricultural practices. This database, produced by the European Space Agency, covers a s... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Observation Database",
"Satellite Imagery for Agricultural Monitoring"
],
"acronym": [
"SSMOD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database",
"Imagery"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | influence of administrative practices on asylum seeker outcomes can be quantitatively assessed using data from the German Asylum Seeker Processing Database (GASP), a comprehensive database produced by the Federal Office for Migration an... | {
"entities": {
"name": [
"German Asylum Seeker Processing Database",
"asylum intake and processing records"
],
"acronym": [
"GASP"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database",
"record"
],
"spec... |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators drawn from the National Sample Survey on Household Consumption Expenditure (NSSCE) reveal significant trends in rural consumption patterns, particularly during the timeframe of 2019-2020. Leveraging the Rural Household Consum... | {
"entities": {
"name": [
"National Sample Survey on Household Consumption Expenditure",
"Rural Household Consumption and Deprivation Indicators",
"State-level Rural Consumption Expenditure Study",
"Indian Rural Deprivation Survey Data",
"Available National Rural Livelihoods Mission ... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns reveal a stark contrast in expenditure behaviors among households engaged in agriculture versus non-agricultural activities. The insights drawn from the National Family Health Survey (NFHS) 2019-20, produced by the ... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019-20"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Survey"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | such as the Ordinary Least Squares (OLS) regression employed in the analysis, emphasizing the relationship between household consumption expenditure and agricultural outputs. The model aims to determine how variations in expenditure inf... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | availability of the Jordan Refugee Registration Database (JRRD) has proven essential for tracking the influx of displaced persons in Jordan since 2015, with comprehensive updates provided through 2023. The database, produced by UNHCR, c... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Patterns in Lebanon",
"available records on refugee demographics"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2020"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of crop yields necessitate the integration of diverse data sources, particularly when utilizing localized survey data alongside satellite imagery. The application of the Normalized Difference Vegetation Index (NDVI) Time Ser... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2021",
"Normalized Difference Vegetation Index (NDVI) Time Series Data",
"recent agricultural yield estimates from regional monitoring"
],
"acronym": [
"EAS 2021"
],
"producer": [
"Ethiopian Central Statistical ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of localized survey data with vegetation index calculations has been crucial for enhancing crop yield estimations in Ethiopia. Specifically, the Ethiopian Crop Yield and Vegetation Index Survey (ECYV), produced by the Et... | {
"entities": {
"name": [
"Ethiopian Crop Yield and Vegetation Index Survey"
],
"acronym": [
"ECYV"
],
"producer": [
"Ethiopian Agricultural Research Organization"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | despite the comprehensive nature of the data collected, there remains a significant challenge in accurately assessing household consumption expenditure. Notably, the Gini coefficient, while a popular measure for understanding inequality... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | estimates derived from the vegetation index, particularly the normalized difference vegetation index (NDVI), have shown promising potential in enhancing the accuracy of crop yield predictions. Utilizing localized survey data, specifical... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey Database"
],
"acronym": [
"EASD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geo... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking initiatives have revealed critical insights into the dispersion of malaria vectors across Nigeria, particularly through the deployment of the Nigeria Malaria Vector Surveillance System (NMVSS), produced by the Nation... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance System"
],
"acronym": [
"NMVSS"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | monitoring has become increasingly critical as the Brazilian Forest Monitoring System (BFMS), produced by the Brazilian Ministry of the Environment, offers essential insights into forest dynamics from 2015-2022. The integration of the G... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System",
"Geospatial Deforestation Assessment Reports",
"National Institute for Space Research Deforestation Database",
"Satellite Imagery of Forest Cover Changes",
"Brazil Carbon Emissions Inventory",
"historical deforesta... |
specificity: named | descriptive | vague usage: primary | supporting | background | Analyzing the effectiveness of remote sensing techniques, particularly through the use of satellite imagery, offers significant advantages in soil moisture mapping. The Sentinel-2 Soil Moisture Monitoring Database (S2SMD), developed by ... | {
"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 | Several factors critically influence the patterns observed in border crossings and asylum seeking trends across Southern Europe, particularly during the analyzed period from 2018 to 2022. Spatial overlay analyses utilizing the Mediterra... | {
"entities": {
"name": [
"Mediterranean Migration Flow Registry",
"asylum seekers registration records"
],
"acronym": [
"MMFR"
],
"producer": [
"European Migration Network"
],
"datatype": [
"database",
"records"
],
"specificity": [
"named"... |
specificity: named | descriptive | vague usage: primary | supporting | background | regression analysis of the variables associated with the multidimensional poverty assessment records was conducted, revealing a significant relationship between household consumption patterns and poverty levels. Notably, the Central Ame... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2022",
"multidimensional poverty assessment records"
],
"acronym": [
"CAHCS 2022"
],
"producer": [
"Central America Statistical Institute"
],
"timeframe": [
"2022"
],
"datatype": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Among the various tracking mechanisms, the UNHCR Refugee Registration Database (URRD) provides a comprehensive view of refugee demographics between 2021-2023, facilitating an understanding of shifts in population dynamics. Concurrently,... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"Lebanon Settlement Tracking Records",
"Jordan Refugee Registration Records",
"refugee demographic survey data",
"refugee settlement assessment reports",
"UNHCR refugee population statistics",
"Historical re... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant correlation between the loss of forest cover and increasing carbon emissions, as evidenced by geospatial analysis of data from the Brazilian Amazon Deforestation Monitoring Database (BADMD), a comprehensive database produced... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring Database"
],
"acronym": [
"BADMD"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2023"
],
"datatype": [
"Database"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | several studies have highlighted the potential of LiDAR technology in capturing precise canopy height measurements, particularly in relation to carbon stock estimations. The analysis conducted using the National Aerial Canopy Height Mea... | {
"entities": {
"name": [
"National Aerial Canopy Height Measurement Database"
],
"acronym": [
"NACHMD"
],
"producer": [
"National Forestry Research Institute"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis reveals significant correlations between water supply access and the incidence of waterborne diseases within refugee camps in Kenya. Utilizing the Kenya Refugee Camp Water Access Assessment 2019 (KRCWAA), produced by th... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Assessment 2019",
"spatial distribution of health facilities in refugee camps"
],
"acronym": [
"KRCWAA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2019"... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking of malaria vectors has become increasingly critical in the ongoing efforts to mitigate the disease's impact across Nigeria. The Nigerian Malaria Vector Mapping Initiative 2022 (NMVMI), produced by the Nigerian Minist... | {
"entities": {
"name": [
"Nigerian Malaria Vector Mapping Initiative 2022",
"Insecticide Treated Bed Nets Distribution Records",
"recent collected information on malaria transmission patterns"
],
"acronym": [
"NMVMI"
],
"producer": [
"Nigerian Ministry of Health",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | corresponding Gini coefficient was calculated to assess the income inequality among households in the affected areas, while Ordinary Least Squares (OLS) regression was employed to examine the relationship between household consumption e... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | increased efficacy of insecticide-treated bed nets can be optimized through the utilization of geospatial tracking methodologies. Utilizing the Nigeria Malaria Vector Mapping Initiative (NMVMI) database, produced by the National Malaria... | {
"entities": {
"name": [
"Nigeria Malaria Vector Mapping Initiative"
],
"acronym": [
"NMVMI"
],
"producer": [
"National Malaria Control Programme"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping methods reveal significant correlations between mobile phone usage patterns and socio-economic statuses. The integration of Mobile Phone Call Detail Records for Poverty Assessment (CIMS) into traditional data sources enhances th... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"CIMS"
],
"producer": [
"National Institute for Statistical Analysis"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Humanitarian assistance efforts in Yemen are significantly enhanced by the integration of systems such as the Yemen IDP Location Tracking System (YILT), developed by the United Nations Office for the Coordination of Humanitarian Affairs... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System",
"Satellite Imagery Analysis for IDP Camps"
],
"acronym": [
"YILT"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2019-2023"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | agricultural applications are increasingly reliant on satellite data, particularly for assessing soil moisture levels critical for crop growth. The Sentinel-2 Soil Moisture Monitoring Database (S2SMM), developed by the European Space Ag... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMM"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relati... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of high-resolution satellite imagery has revolutionized soil moisture mapping and agricultural monitoring. Utilizing the Copernicus Sentinel-2 Soil Moisture Monitoring Database (CSMMD), a comprehensive database produced ... | {
"entities": {
"name": [
"Copernicus Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"CSMMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The spatial analysis of asylum seeker processing times reveals significant variances across regions, particularly when overlaying data from the Germany Asylum Seeker Intake Database (GASID), a comprehensive database produced by the Fede... | {
"entities": {
"name": [
"Germany Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
... |
specificity: named | descriptive | vague usage: primary | supporting | background | insights into the processing times for asylum applications reveal significant trends in administrative efficiency and bottlenecks. The German Asylum Seeker Intake Database (GASID), produced by the Federal Office for Migration and Refuge... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2022"
],
"datatype": [
"Database"
],
"specificity": [
"na... |
specificity: named | descriptive | vague usage: primary | supporting | background | within the context of refugee camp spatial planning, effective water supply access is critical to mitigating disease outbreaks. The *Kenya Refugee Camp Water Access Survey 2022* (KRCWAS 2022), produced by the *United Nations High Commis... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2022",
"spatial planning and disease monitoring records"
],
"acronym": [
"KRCWAS 2022"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping soil moisture levels through the analysis of satellite imagery is enhanced by the integration of various data inputs, particularly those from the Sentinel-2 Soil Moisture Monitoring Database (S2SMMDB), a comprehensive database p... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMMDB"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrates the complexities of refugee management in the region, highlighting the efficacy of the Jordan and Lebanon Refugee Registration System (JLRRS), a comprehensive database developed by UNHCR. Established to facilitate the track... | {
"entities": {
"name": [
"Jordan and Lebanon Refugee Registration System"
],
"acronym": [
"JLRRS"
],
"producer": [
"UNHCR"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geography": [
"J... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of existing refugee registration data into national systems is crucial for understanding population dynamics. For instance, the Jordan Refugee Registration Database (JRRD), a comprehensive database produced by UNHCR in 2... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Lebanon Settlement Tracking Records",
"Refugee Registration Assessment",
"Demographic and Settlement Information Reports",
"existing refugee registration data",
"Lebanon and Jordan Refugee Census Data"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Population movements in the region have necessitated an extensive review of refugee registration processes. The UNHCR Refugee Registration and Settlement Database for Jordan and Lebanon (UNHCR-RRSL) serves as a critical database for tra... | {
"entities": {
"name": [
"UNHCR Refugee Registration and Settlement Database for Jordan and Lebanon"
],
"acronym": [
"UNHCR-RRSL"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets have been tracked across several regions in Nigeria, with the Malaria Vector Surveillance Database Nigeria (MVSN) serving as a critical tool for understanding vector dynamics. This database, produc... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database Nigeria"
],
"acronym": [
"MVSN"
],
"producer": [
"Nigeria National Malaria Control Programme"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"n... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis of refugee camps in Kenya indicates a significant correlation between water supply access and disease prevalence. Specifically, the results from the Kenya Refugee Camp Water Access Survey 2022 (KRCWAS 2022) reveal that ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2022"
],
"acronym": [
"KRCWAS 2022"
],
"producer": [
"Kenya National Bureau of Statistics"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | comprehensive examination of deforestation patterns in Brazil highlights the significant role of various datasets in understanding the dynamics of forest loss and associated carbon emissions. Utilizing the Brazilian Forest Monitoring Sy... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System",
"Geospatial Deforestation Assessment Records",
"Annual Carbon Emissions Inventory for Brazil",
"Forest Loss Monitoring Satellite Imagery",
"Deforestation Trends Overview Data",
"National Forest Inventory Database",... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking changes in asylum seeker demographics, the Bundesamt für Migration und Flüchtlinge Asylum Seeker Database (BAMF-ASD), produced by the Federal Office for Migration and Refugees, serves as a critical resource for understanding tr... | {
"entities": {
"name": [
"Bundesamt für Migration und Flüchtlinge Asylum Seeker Database",
"asylum intake processing times and administrative records",
"historical records of refugee applications in Germany"
],
"acronym": [
"BAMF-ASD"
],
"producer": [
"Federal Office... |
specificity: named | descriptive | vague usage: primary | supporting | background | Canopy height measurements obtained through LiDAR technology have increasingly been integrated into carbon stock estimation methodologies. The utility of the National Aerial LiDAR Database for Carbon Estimation (NALD-CE), a comprehensiv... | {
"entities": {
"name": [
"National Aerial LiDAR Database for Carbon Estimation"
],
"acronym": [
"NALD-CE"
],
"producer": [
"Forest Research Institute"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimated carbon stock across varied ecological zones, multiple datasets were integrated to enhance the accuracy of the spatial overlay analysis. The National LiDAR Aerial Survey for Forest Biomass 2021 (NLASFB21), produced by the Natio... | {
"entities": {
"name": [
"National LiDAR Aerial Survey for Forest Biomass 2021",
"Aerial Canopy Height Measurement Records"
],
"acronym": [
"NLASFB21"
],
"producer": [
"National Forest Service"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey",... |
specificity: named | descriptive | vague usage: primary | supporting | background | such that the methodology primarily utilized Ordinary Least Squares (OLS) regression to estimate the impact of spatial planning on water supply access. The models, plagued by multicollinearity, produced Gini coefficients indicating ineq... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | various dimensions of well-being in the region. The Multidimensional Poverty Index (MPI) assessments indicate that household consumption patterns significantly influence poverty outcomes, particularly in Central America. Notably, the Ce... | {
"entities": {
"name": [
"Central American Household Poverty Assessment"
],
"acronym": [
"CAHPA"
],
"producer": [
"Economic Commission for Latin America and the Caribbean (ECLAC)"
],
"timeframe": [
"2021"
],
"datatype": [
"assessment"
],
"spec... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlays were conducted using the Bangladesh Urban Flood Risk Assessment (BUFRA), produced by the Bangladesh Water Development Board in 2021, to correlate flood risk with the proximity of informal settlements. Utilizing the Info... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment",
"Informal Settlement Mapping Survey Data",
"National Land Use Database",
"Remote Sensing Imagery for Urban Areas",
"Urban Flooding and Informal Settlements Study",
"GIS-Based Environmental Vulnerability Assessm... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, the integration of spatial planning methodologies is critical for enhancing access to water supply within refugee camps, particularly as highlighted in the 2020 survey titled "Spatial Data on Refugee Camp Infrastructure an... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Spatial Data on Refugee Camp Infrastructure and Water Supply",
"recent studies on disease outbreaks in refugee populations"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenya Ministry of Health"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | deforestation mapping has become increasingly crucial in understanding the dynamics of carbon emissions in Brazil. The Brazilian Forest Monitoring System (Sistema de Monitoramento da Floresta Brasileira) (BMFMS) produced by the Institut... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System (Sistema de Monitoramento da Floresta Brasileira)",
"geospatial forest loss assessment data"
],
"acronym": [
"BMFMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates of wealth index derived from mobile phone call data provide critical insights into socioeconomic conditions. The Mobile Phone Call Detail Records for Poverty Analysis (MP-CDR-PA), a database produced by the Global Poverty Rese... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis",
"mobile phone usage patterns for socioeconomic assessments"
],
"acronym": [
"MP-CDR-PA"
],
"producer": [
"Global Poverty Research Group"
],
"timeframe": [
"2019-2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty mapping initiatives leverage mobile phone data, particularly through the National Mobile Phone CDR Poverty Estimation Project (NMPCE), produced by the Global Poverty Research Institute in 2021, which provides insights into wealt... | {
"entities": {
"name": [
"National Mobile Phone CDR Poverty Estimation Project",
"Household Wealth Index Assessment Data",
"Mobile Network Operator Consumption Behavior Report",
"Geospatial Poverty Mapping Records",
"Kenya Mobile Phone Call Data Survey 2020",
"Mobile Call Deta... |
specificity: named | descriptive | vague usage: primary | supporting | background | accurately predicting poverty levels relies significantly on integrating datasets that elucidate both spatial and socio-economic dimensions. By employing the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), a database prod... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile Network Operator Household Wealth Index Survey Data",
"historical mobile usage patterns"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Mobile Analytics Initiative"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | intersecting the Yemen IDP Tracking Survey 2022 (YITS 2022), produced by the Yemen Humanitarian Response Coordinating Office, with satellite imagery for IDP location analysis reveals critical patterns in displacement. Specifically, the ... | {
"entities": {
"name": [
"Yemen IDP Tracking Survey 2022",
"satellite imagery for IDP location analysis",
"UNHCR Yemen IDP Registration Database",
"Humanitarian Needs Assessment Reports",
"Yemen IDP Location Information 2023",
"available records on displaced populations"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased significantly, reflecting changes in regional policies that influence cross-border movements. The analysis employed Ordinary Least Squares (OLS) regression to assess the relationship between asylum seeker registrations and mig... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | essential for understanding the intricate dynamics of forest ecosystems. The Brazilian Forest Cover Change Assessment (BFCCA), produced by the Brazilian Institute of Environment and Renewable Natural Resources (IBAMA), provides critical... | {
"entities": {
"name": [
"Brazilian Forest Cover Change Assessment"
],
"acronym": [
"BFCCA"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"timeframe": [
"2010-2020"
],
"datatype": [
"Assessment"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | through the integration of the Jordan Refugee Registration System 2022 (JRRS) data, produced by UNHCR, the analysis delineates patterns of refugee settlement in both urban and rural locales of Jordan and Lebanon. The JRRS, as a structur... | {
"entities": {
"name": [
"Jordan Refugee Registration System 2022"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2022"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial configurations derived from the "Geospatial Mapping of Refugee Camps in Kenya" report (2021-2023) reveal significant disparities in water supply access among various camps. This analysis employs a regression control method to co... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"Geospatial Mapping of Refugee Camps in Kenya",
"Recent health monitoring records from refugee camps"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | deforestation mapping efforts have increasingly relied on advanced technologies and systematic approaches, such as the Brazilian Forest Monitoring Program (PMFB), which serves as a pivotal system developed by the Brazilian Institute of ... | {
"entities": {
"name": [
"Brazilian Forest Monitoring Program (PMFB)",
"Geospatial Data on Deforestation and Carbon Emissions in the Amazon",
"available satellite imagery for forest cover assessment"
],
"acronym": [
"PMFB"
],
"producer": [
"Brazilian Institute of Env... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlay analyses were conducted utilizing the National Aerial LiDAR and Canopy Height Database (NALCHD), produced by the Global Forest Monitoring Initiative between 2015 and 2020. This database facilitated the integration of can... | {
"entities": {
"name": [
"National Aerial LiDAR and Canopy Height Database"
],
"acronym": [
"NALCHD"
],
"producer": [
"Global Forest Monitoring Initiative"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Inadequate water supply remains a pressing issue in refugee camps, exacerbated by spatial planning shortcomings that fail to account for population density and resource allocation. The Kenya Refugee Camp Water Supply Assessment 2021 (KR... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2021"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water and Sanitation Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations in Ethiopia necessitate a multi-faceted approach, combining diverse data sources for accuracy. The integration of the **Normalized Difference Vegetation Index (NDVI) Satellite Imagery** provides crucial insights into v... | {
"entities": {
"name": [
"Ethiopian National Agricultural Sample Survey",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Ethiopia Crop Yield Monitoring Report",
"Localized Agricultural Survey Data",
"Annual Crop Production Records",
"Ethiopian Remote Sensi... |
specificity: named | descriptive | vague usage: primary | supporting | background | influencing the socioeconomic landscape of the region, the Central American Multidimensional Poverty Index Survey 2021 (CAMPI 2021) provides crucial insights into the relationship between multidimensional poverty and household consumpti... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Survey 2021",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPI 2021"
],
"producer": [
"Economic Commission for Latin America and the Caribbean (ECLAC)"
],
"timeframe": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping the movements of internally displaced persons (IDPs) in Yemen has become increasingly vital for optimizing humanitarian responses. The Yemen IDP Location Tracking System (YILTS), a database produced by the United Nations Office ... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System",
"humanitarian assistance needs assessment data"
],
"acronym": [
"YILTS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2021-2023"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant variation in processing times can be attributed to the administrative workflows captured in the Bundesamt für Migration und Flüchtlinge Asylum Tracking Database (BAMF-ATD), a comprehensive database produced by the Federal Of... | {
"entities": {
"name": [
"Bundesamt für Migration und Flüchtlinge Asylum Tracking Database"
],
"acronym": [
"BAMF-ATD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping the movements and locations of internally displaced persons (IDPs) in Yemen is critical for effective humanitarian assistance. The Yemen IDP Location Tracking Database (YIDP-LTD) serves as a crucial resource in this regard, faci... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YIDP-LTD"
],
"producer": [
"Yemen Crisis Response Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geogra... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrating a direct link between mobile phone usage and socioeconomic status, the analysis employs the Poverty Mapping and Wealth Index Dataset 2022 (PMWI 2022), produced by the Global Poverty Observatory in 2022. This database under... | {
"entities": {
"name": [
"Poverty Mapping and Wealth Index Dataset 2022",
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Regional Wealth Index Estimation Survey",
"Household Asset Ownership Data",
"Telecom Usage Patterns and Poverty Correlation Study",
"Econom... |
specificity: named | descriptive | vague usage: primary | supporting | background | flood risk assessments rely heavily on geospatial analysis, particularly the incorporation of the Urban Flood Vulnerability Assessment Database (UFVAD), which was produced by the Bangladesh Water Development Board during the 2019-2021 t... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Database"
],
"acronym": [
"UFVAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"assessment"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | Given the critical importance of effective resource allocation, the assessment of water supply access through the Kenya Refugee Camp Health and Water Supply Assessment (KRC-HWSA) has revealed significant correlations between spatial pla... | {
"entities": {
"name": [
"Kenya Refugee Camp Health and Water Supply Assessment",
"spatial distribution of water access in refugee camps"
],
"acronym": [
"KRC-HWSA"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis leverages spatial overlay techniques utilizing the Yemen Internal Displacement Tracking Matrix (YIDTM), a comprehensive database produced by the United Nations High Commissioner for Refugees (UNHCR) from 2021-2023, to enhan... | {
"entities": {
"name": [
"Yemen Internal Displacement Tracking Matrix",
"location tracking records of internally displaced persons"
],
"acronym": [
"YIDTM"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021-2023"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis reveals significant variation in processing times across different regions, likely influenced by the administrative infrastructure in place. Utilizing the German Asylum Seeker Registry 2022 (GASR), a comprehensive database ... | {
"entities": {
"name": [
"German Asylum Seeker Registry 2022"
],
"acronym": [
"GASR"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of mobile phone CDR records into poverty mapping has opened new avenues for understanding economic disparities. For instance, the Mobile Phone Call Detail Records for Economic Analysis (MPCDR-EA), a comprehensive databas... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Economic Analysis"
],
"acronym": [
"MPCDR-EA"
],
"producer": [
"Institute for Economic Research"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"database"
],
"specificity": [
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.