input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | provide critical insights into the temporal changes in soil moisture levels across diverse agricultural zones. The utility of the Sentinel-2 Soil Moisture Monitoring Database (S2SMMDB) has been instrumental in analyzing this variability... | {
"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 | variance in processing times across different regions was found to be significant, indicative of systemic inefficiencies^1. By utilizing ordinary least squares (OLS) regression models, we sought to analyze the relationship between asylu... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | intake tracking in relation to administrative refugee records tends to exhibit significant inconsistencies, often leading to discrepancies in processing times across various regions in Germany. Such challenges are exacerbated by the lac... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the collection of data from rural regions has become increasingly vital for understanding economic disparities. Particularly, the National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Prog... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"historical records on rural deprivation"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Gov... |
specificity: named | descriptive | vague usage: primary | supporting | background | layering techniques employed for analyzing the spatial distribution of internally displaced persons (IDPs) revealed significant patterns when compared against the Yemen Internally Displaced Persons Tracking System (YIDPTS) database^1. T... | {
"entities": {
"name": [
"Yemen Internally Displaced Persons Tracking System"
],
"acronym": [
"YIDPTS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicating significant correlations between household mobility patterns and socioeconomic status, the analysis leverages the Mobile Call Detail Records for Socioeconomic Analysis (MCDR-SEA) database produced by the Global Telecommunicat... | {
"entities": {
"name": [
"Mobile Call Detail Records for Socioeconomic Analysis"
],
"acronym": [
"MCDR-SEA"
],
"producer": [
"Global Telecommunication Institute"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis reveals that the National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Programme Implementation, Government of India, provides a comprehensive overview of household spending p... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"rural household consumption expenditure survey data",
"recently collected survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Govern... |
specificity: named | descriptive | vague usage: primary | supporting | background | identified a notable increase in border crossings among asylum seekers, particularly in the context of the Southern European Migration Flows Database (SEMFDB), a comprehensive database produced by the European Migration Network. Analysi... | {
"entities": {
"name": [
"Southern European Migration Flows Database"
],
"acronym": [
"SEMFDB"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Increasing attention is directed toward the Brazilian Amazon Deforestation and Carbon Emissions Monitoring Program (BADCEP), a crucial surveillance database produced by the Brazilian National Institute for Space Research (INPE) covering... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation and Carbon Emissions Monitoring Program"
],
"acronym": [
"BADCEP"
],
"producer": [
"Brazilian National Institute for Space Research (INPE)"
],
"datatype": [
"Program"
],
"specificity": [
"named"... |
specificity: named | descriptive | vague usage: primary | supporting | background | in recent years, the challenges associated with border crossings and the registration of asylum seekers have intensified, particularly in Southern Europe. A notable contributor to understanding these dynamics is the European Migration N... | {
"entities": {
"name": [
"European Migration Network (EMN) Asylum Seekers Registration Database"
],
"acronym": [
"EMN-ASR"
],
"producer": [
"European Commission"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the application of ordinary least squares (OLS) regression requires careful consideration of multicollinearity among predictors, particularly when analyzing impacts on agricultural outputs or environmental metrics. In this context, the ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations were enhanced through a regression analysis that integrated the Vegetation Index (NDVI) data with localized survey records. By employing the Ethiopian Crop Monitoring and Assessment System (ECMAS), which is produc... | {
"entities": {
"name": [
"Ethiopian Crop Monitoring and Assessment System"
],
"acronym": [
"ECMAS"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | reduced forest cover has been documented extensively through the Brazilian Deforestation Monitoring System (BDMS), a system produced by the Brazilian National Institute for Space Research (INPE) that spans the timeframe of 2010-2023. Th... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System (BDMS)",
"Geospatial Forest Loss Assessment Data",
"historical carbon emissions records from deforestation"
],
"acronym": [
"BDMS"
],
"producer": [
"Brazilian National Institute for Space Research (I... |
specificity: named | descriptive | vague usage: primary | supporting | background | the identification of critical flood corridors and informal settlements in urban areas of Bangladesh has been significantly advanced through GIS mapping techniques. Utilizing the Urban Flood Vulnerability Assessment Database (UFVAD), pr... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Database"
],
"acronym": [
"UFVAD"
],
"producer": [
"Bangladesh Disaster Management Bureau"
],
"timeframe": [
"2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | optimal locations for the placement of water supply points were determined through spatial overlay analysis, leveraging the water access survey data in refugee camps, which provided critical insights into the existing infrastructure. In... | {
"entities": {
"name": [
"Kenya Refugee Health Information System (KRHIS)",
"water access survey data in refugee camps"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2022"
],
"datatype": [
"System",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | gained insight into the spatial dimensions of urban flood corridors through the application of regression controls on the GIS mapping results. The analysis employed the Urban Flood Risk Assessment Database (UFRAD), a comprehensive datab... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Institute of Water Resources Management, Bangladesh"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | insecticide-treated bed nets play a crucial role in malaria prevention strategies, particularly in Nigeria where the effectiveness of such interventions is closely monitored through the Malaria Vector Surveillance Program Nigeria 2021 (... | {
"entities": {
"name": [
"Malaria Vector Surveillance Program Nigeria 2021",
"Geospatial Mapping of Insecticide-treated Bed Nets in Nigeria"
],
"acronym": [
"MVSPN"
],
"producer": [
"National Malaria Control Program (NMCP)"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrate that integrating LiDAR technology with aerial canopy height measurements significantly enhances the accuracy of carbon stock estimations. These methods utilize data sourced from the National Aerial LiDAR Inventory for Carbon... | {
"entities": {
"name": [
"National Aerial LiDAR Inventory for Carbon Assessment"
],
"acronym": [
"NALIC"
],
"producer": [
"Environmental Protection Agency (EPA)"
],
"timeframe": [
"2018-2021"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | given the complexities of the humanitarian landscape in Yemen, the "Yemen IDP Tracking System" (YITS), a comprehensive database produced by UNHCR in 2023, plays a critical role in identifying and tracking the locations of internally dis... | {
"entities": {
"name": [
"Yemen IDP Tracking System",
"Internally Displaced Persons Registration Records",
"recently collected surveillance records"
],
"acronym": [
"YITS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant changes in forest cover across Brazil have been documented using the Brazilian Deforestation Monitoring System (BDMS), a comprehensive database produced by the Instituto Nacional de Pesquisas Espaciais (INPE). Analysis of ge... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimations derived from the Mobile Phone Call Detail Records for Poverty Estimation (CDR-PE) reveal significant correlations between mobile usage patterns and socio-economic statuses. Utilizing a comprehensive database produced by the ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Estimation"
],
"acronym": [
"CDR-PE"
],
"producer": [
"Global Telecommunication Research Institute"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | migratory patterns observed in recent years have indicated a significant increase in border crossings within Southern Europe. This trend correlates with the data collected from the Southern European Asylum Seeker Registration System (SE... | {
"entities": {
"name": [
"Southern European Asylum Seeker Registration System"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Asylum Support Office"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"database"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | the estimation of the wealth index involved integrating spatial overlay analysis with the Mobile Phone Call Detail Records for Poverty Mapping (MP-CDR) database, produced by the Global Mobile Data Initiative in 2021. This process requir... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"MP-CDR"
],
"producer": [
"Global Mobile Data Initiative"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements acquired through advanced LiDAR techniques have been pivotal in assessing forest carbon stocks. The Global Forest Canopy Height Database 2022 (GFCHD), produced by the International Institute for Applied Systems Analy... | {
"entities": {
"name": [
"Global Forest Canopy Height Database 2022"
],
"acronym": [
"GFCHD"
],
"producer": [
"International Institute for Applied Systems Analysis"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption patterns reveal significant disparities among different socioeconomic groups in rural India. The analysis utilizes the National Sample Survey on Consumption Expenditure (NSSCE), a comprehensive survey conducted by ... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Tracking internally displaced persons (IDPs) in Yemen has become increasingly crucial due to the ongoing humanitarian crisis. The Yemen IDP Location Tracking Database (YILT), a comprehensive database produced by the Yemeni Ministry of H... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"IDP Assistance and Location Monitoring Records"
],
"acronym": [
"YILT"
],
"producer": [
"Yemeni Ministry of Human Rights"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Database"... |
specificity: named | descriptive | vague usage: primary | supporting | background | discrepancies between the Asylum Seeker Registration Database 2023 (ASRD 2023) and the Administrative Refugee Records 2020 (ARR 2020) highlight significant processing delays. Specifically, data from the ASRD 2023 produced by the Federal... | {
"entities": {
"name": [
"Asylum Seeker Registration Database 2023",
"Refugee Processing Time Assessment",
"Administrative Refugee Records 2020",
"Asylum Seeker Intake System Overview",
"German Refugee Data Collection 2021",
"Available administrative records on asylum seekers"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Height measurements obtained from LiDAR have become critical in assessing forest carbon stocks, particularly when utilizing the National Forest Inventory LiDAR Data (NFIL-D) database produced by the U.S. Forest Service. The temporal sco... | {
"entities": {
"name": [
"National Forest Inventory LiDAR Data"
],
"acronym": [
"NFIL-D"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2017-2020"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to the significant challenges posed by climate change, the Brazilian Forest Loss Monitoring Database (BFLMD), produced by the Brazilian National Institute for Space Research (INPE) from 2010-2022, offers critical insights in... | {
"entities": {
"name": [
"Brazilian Forest Loss Monitoring Database",
"Geospatial Analysis of Deforestation Rates",
"historical records of carbon emissions"
],
"acronym": [
"BFLMD"
],
"producer": [
"Brazilian National Institute for Space Research (INPE)"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased efforts to combat malaria in Nigeria have relied heavily on spatial data to identify vector populations and the effectiveness of localized insecticide-treated bed nets (ITNs) ¹. The Nigeria Malaria Vector Surveillance Database... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis was conducted using spatial data to examine the correlation between proximity to water supply access points and disease incidence rates in the refugee camps. Specifically, the Kenya Refugee Health and Water Acces... | {
"entities": {
"name": [
"Kenya Refugee Health and Water Access Monitoring System"
],
"acronym": [
"KRHWAMS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2022"
],
"datatype": [
"System"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty indicators in Colombia are extensively monitored through various mechanisms, particularly using the Colombian National Survey of Household Welfare (ENAHO), a survey produced by the Departamento Nacional de Estadística (DANE) in ... | {
"entities": {
"name": [
"Colombian National Survey of Household Welfare"
],
"acronym": [
"ENAHO"
],
"producer": [
"Departamento Nacional de Estadística (DANE)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression models employed were calibrated against data from the Sentinel-2 Soil Moisture Retrieval Database (SSMRD), a comprehensive database produced by the European Space Agency covering the period from 2015-2023. This enabled a ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Retrieval Database",
"Satellite Imagery for Agricultural Monitoring",
"recently collected agricultural monitoring information"
],
"acronym": [
"SSMRD"
],
"producer": [
"European Space Agency"
],
"timeframe": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | quantitative assessments of household consumption often rely on data from the Central American Household Consumption Survey 2022 (CAHCS), produced by the Central American Statistics Office, which provides comprehensive insights into exp... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2022",
"Multidimensional Poverty Index Assessment Data",
"Household Poverty and Consumption Patterns in Central America",
"National Multidimensional Poverty Survey 2021",
"Regional Consumption Expenditure Report... |
specificity: named | descriptive | vague usage: primary | supporting | background | infrastructure for adequate water supply remains a critical issue in refugee camps across Kenya. The recent findings from the Water Supply Access Survey Data illustrate significant gaps in accessibility, particularly affecting the most ... | {
"entities": {
"name": [
"Kenya Refugee Camp Health Assessment 2021",
"Water Supply Access Survey Data",
"Historical Records on Displacement and Health Outcomes"
],
"acronym": [
"KRCHA"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2021... |
specificity: named | descriptive | vague usage: primary | supporting | background | funded programs have shown varied effectiveness in integrating geospatial tracking methodologies for malaria vector surveillance in Nigeria. Household consumption expenditures, measured against treatment efficacy, suggest that the distr... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | examinations of flood corridors indicate significant overlaps between high-risk zones and areas characterized by informal settlements. The Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board ... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Satellite Imagery for Urban Land Use Analysis",
"recently compiled records on informal settlement demographics"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimations of poverty mapping utilizing innovative methodologies are increasingly incorporating mobile technology. Specifically, the analysis of Mobile Phone Call Detail Records for Poverty Analysis (MP-CDR-PA), a comprehensive databas... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"MP-CDR-PA"
],
"producer": [
"Global Poverty Research Institute"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | contributes significantly to understanding forest structure and biomass distribution. By utilizing high-resolution LiDAR data, notably from the National LiDAR Aerial Survey for Forest Carbon Assessment 2021 (NLAS-FCA), researchers can a... | {
"entities": {
"name": [
"National LiDAR Aerial Survey for Forest Carbon Assessment 2021"
],
"acronym": [
"NLAS-FCA"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | adjustments were necessary to incorporate insights derived from the Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM) database, which spans from 2019-2021 and was produced by the Global Poverty Research Initiative. The integ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Poverty Research Initiative"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | refugee populations in Jordan and Lebanon, particularly those tracked by the Jordan Refugee Registration and Settlement Tracking System (JRRS), reveal significant fluctuations in settlement patterns over the years. Established by UNHCR,... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement Tracking System"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geography":... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking changes in forest structure over time is essential for accurate carbon stock estimation. The Global Forest Canopy Height Database (GFCHD), produced by Global Forest Watch, provides a comprehensive database from 2019-2021, allow... | {
"entities": {
"name": [
"Global Forest Canopy Height Database",
"LiDAR Canopy Height Measurement Records",
"historical satellite imagery records"
],
"acronym": [
"GFCHD"
],
"producer": [
"Global Forest Watch"
],
"timeframe": [
"2019-2021"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrating the interconnectedness of poverty and consumption patterns, the National Multidimensional Poverty Index Survey 2023 (NMPIS 2023) illustrates how households in Central America navigate economic disparities. Conducted by the... | {
"entities": {
"name": [
"National Multidimensional Poverty Index Survey 2023",
"household consumption expenditure survey data",
"available historical records on poverty assessments"
],
"acronym": [
"NMPIS 2023"
],
"producer": [
"Central America Statistics Office"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in examining the interrelation between urban flood corridors and informal settlements, the Urban Flood Vulnerability Assessment Database (UFVAD) produced by the Bangladesh Disaster Management Authority in 2021 provides crucial insights ... | {
"entities": {
"name": [
"Urban Flood Vulnerability Assessment Database",
"Satellite Imagery of Urban Areas",
"historical records of informal settlements"
],
"acronym": [
"UFVAD"
],
"producer": [
"Bangladesh Disaster Management Authority"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping urban flood corridors is crucial for understanding the vulnerability of informal settlements in Bangladesh. Integrating spatial data from the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Develop... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessments of household consumption patterns reveal critical correlations with poverty indicators across the region. Analyzing the data from the Central American Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022), produced by... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Assessment 2022"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Central American Development Bank"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicated a significant spatial correlation between the density of malaria vectors and the distribution of insecticide-treated bed nets (ITNs) in various communities. The regression analysis, utilizing geospatial coordinates, was conduc... | {
"entities": {
"name": [
"Malaria Vector Surveillance and Insecticide Resistance Database"
],
"acronym": [
"MVIRDB"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns are significantly influenced by the findings of the Central American Multidimensional Poverty Assessment 2022 (CAMPA 2022), which indicates a nuanced landscape of deprivation across the region. The assessment, produ... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Assessment 2022",
"household consumption and poverty survey data"
],
"acronym": [
"CAMPA 2022"
],
"producer": [
"Inter-American Development Bank"
],
"timeframe": [
"2022"
],
"datatype... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial analysis reveals significant correlations between refugee settlement patterns and various socio-economic indicators. The integration of the UNHCR Refugee Registration Database for Jordan and Lebanon (URRDL), produced by the Unit... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database for Jordan and Lebanon"
],
"acronym": [
"URRDL"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increased vulnerability of urban areas to flooding necessitates effective mapping strategies. The Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board in 2021, serves as a critical resource fo... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"geospatial mapping of informal settlements"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
"Database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Height measurements obtained through LiDAR technology serve as a crucial metric in estimating carbon stocks across diverse forest ecosystems. Notably, the Aerial LiDAR Canopy Height Mapping Project (ALCHMP), a comprehensive database pro... | {
"entities": {
"name": [
"Aerial LiDAR Canopy Height Mapping Project",
"Forest Canopy Height Estimation Records",
"historical aerial imagery records"
],
"acronym": [
"ALCHMP"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timefr... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height plays a crucial role in estimating carbon stocks within forest ecosystems. Recent advancements in remote sensing technology have led to the integration of high-resolution datasets, such as the National LiDAR Inventory for ... | {
"entities": {
"name": [
"National LiDAR Inventory for Carbon Stock Assessment",
"Aerial Canopy Height Measurement Data"
],
"acronym": [
"NLICSA"
],
"producer": [
"Environmental Data Agency"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"databa... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis of migration flows indicates a notable increase in border crossings, particularly documented in the "Border Crossing Data for Southern Europe" report. As highlighted in the "Southern European Migration Assessment 2021" (SEMA 20... | {
"entities": {
"name": [
"Southern European Migration Assessment 2021",
"Asylum Seekers Registration Records",
"Mediterranean Migration Flow Reports 2020",
"Border Crossing Data for Southern Europe",
"Refugee Registration Database 2022",
"recent migration trends and statistics... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implications of household survey datasets on consumption expenditure and deprivation are significant, particularly when examining rural India. The National Rural Livelihoods Mission Consumption Pattern Survey 2021 (NRLM-CPS 2021), p... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Pattern Survey 2021"
],
"acronym": [
"NRLM-CPS 2021"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Registration processes for asylum seekers in Southern Europe have revealed significant trends in migration flows over recent years. The Southern European Migration Flows Assessment (SEMFA), produced by the European Union Agency for Fund... | {
"entities": {
"name": [
"Southern European Migration Flows Assessment"
],
"acronym": [
"SEMFA"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Data collection remains critical in understanding the dynamics of refugee populations in the region, particularly through the UNHCR Refugee Registration and Settlement Database (URRSD), which has been instrumental in tracking the influx... | {
"entities": {
"name": [
"UNHCR Refugee Registration and Settlement Database"
],
"acronym": [
"URRSD"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"Database"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | several initiatives have been implemented to monitor the spread of malaria vectors and the effectiveness of localized interventions such as insecticide-treated bed nets (ITNs). Notably, the "Malaria Vector Surveillance Dataset 2021" (MV... | {
"entities": {
"name": [
"Malaria Vector Surveillance Dataset 2021",
"Insecticide Treated Net Usage Survey Data",
"Geospatial Mapping of Malaria Vectors in Nigeria 2020",
"Local Bed Net Coverage Reports",
"National Malaria Indicator Survey 2018",
"available information on vect... |
specificity: named | descriptive | vague usage: primary | supporting | background | Interconnectedness of consumption patterns and poverty indicators is evident in Central America, as highlighted by the Central American Household Consumption and Poverty Assessment (CAHCPA), produced by the Regional Economic Studies Ins... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Assessment"
],
"acronym": [
"CAHCPA"
],
"producer": [
"Regional Economic Studies Institute"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assessment"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | essential to understanding the scale and dynamics of displacement in the region, the UNHCR Refugee Registration System (URRS) serves as a comprehensive database produced by the United Nations High Commissioner for Refugees, encompassing... | {
"entities": {
"name": [
"UNHCR Refugee Registration System",
"Refugee Settlement Tracking Records"
],
"acronym": [
"URRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
"2021"
],
"datatype": [
"database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | predictors such as the normalized difference vegetation index (NDVI) demonstrate significant correlations with agricultural outputs, particularly when integrated with localized data. Regression models employing the Ethiopian National Ag... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey",
"regional vegetation index analysis for crop yield"
],
"acronym": [
"ENAS"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"... |
specificity: named | descriptive | vague usage: primary | supporting | background | observations indicate that the integration of the Brazilian Forest Loss Monitoring System (BFLMS) has proven critical in assessing the correlations between deforestation rates and carbon emissions across Brazil. The system, produced by ... | {
"entities": {
"name": [
"Brazilian Forest Loss Monitoring System (BFLMS)"
],
"acronym": [
"BFLMS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"datatype": [
"System"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Given the multifaceted nature of refugee intake in Germany, the integration of various datasets plays a critical role in understanding processing timelines and administrative efficiencies. The German Asylum Seeker Intake Database 2021 (... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database 2021",
"Asylum Application Processing Time Records"
],
"acronym": [
"GASID 2021"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to essential resources remains a significant challenge for internally displaced persons (IDPs) in Yemen. The Yemen IDP Location Tracking Database (YIDP-LTD) serves as a critical tool in understanding the geographical distribution... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YIDP-LTD"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns reveal significant disparities, particularly when analyzing the Gini coefficient, which indicates high levels of inequality among households. An OLS regression model was applied to estimate the impact of various soc... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption patterns, which were evaluated using Ordinary Least Squares (OLS) regression models, demonstrated a concerning correlation with the multidimensional poverty index (MPI) assessments in Central America. The analysis ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly impacts both biodiversity and carbon emissions, particularly in regions like the Amazon rainforest. The Brazilian Deforestation Monitoring Database (BDMD), produced by the Instituto Nacional de Pesquisas Espaciais (INPE), ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Database"
],
"acronym": [
"BDMD"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"prim... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking has become critical for assessing the efficacy of localized insecticide-treated bed nets across Nigeria. Utilizing the Malaria Vector Surveillance Database (MVSD), a comprehensive database produced by the National Ma... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-treated Bed Nets in Nigeria",
"recently compiled records on malaria incidence and control efforts"
],
"acronym": [
"MVSD"
],
"producer": [
"National Malaria Control Pr... |
specificity: named | descriptive | vague usage: primary | supporting | background | wealth index estimations derived from mobile phone Call Detail Records for Poverty Mapping (CDR-PM) provide significant insights into socioeconomic conditions. The CDR-PM, a comprehensive database produced by the Institute for Social Re... | {
"entities": {
"name": [
"mobile phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Institute for Social Research and Policy Analysis"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specifi... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzing the potential for enhanced agricultural productivity through the use of remote sensing data reveals significant insights. The **Sentinel-2 Soil Moisture Monitoring Data** (S2SMM) serves as a crucial database produced by the Eu... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Data",
"Satellite Imagery for Agricultural Monitoring",
"recent collected records on soil moisture levels"
],
"acronym": [
"S2SMM"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping methodologies are increasingly leveraging unconventional data sources. The Mobile Phone Call Detail Records for Poverty Mapping (MP-CDR), produced by the Institute for Data Analysis during the timeframe of 2019-2021, provides a ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile Phone Usage Statistics for Wealth Index Estimation",
"Household and Demographic Survey Data",
"recent poverty-related mobile communications data"
],
"acronym": [
"MP-CDR"
],
"pro... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations increasingly rely on integrated approaches that leverage both remote sensing data and on-the-ground observations. The correlation between the vegetation index (NDVI) and localized survey data enhances the accuracy of p... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey",
"Localized Crop Yield Assessment Data",
"Historical Crop Yield Records in Ethiopia"
],
"acronym": [
"EASS"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"timeframe": [
"2019... |
specificity: named | descriptive | vague usage: primary | supporting | background | upon analyzing the complex dynamics of migration flows in Southern Europe, initial findings indicate a troubling correlation between asylum seeker registrations and border crossing incidents, particularly within the context of rising po... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzing the spatial distribution of wealth has gained traction in recent years, particularly through the use of innovative data sources such as the Mobile Phone Call Detail Records for Economic Analysis (MPCDR-EA) database, produced b... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Economic Analysis",
"Mobile Network Operator Household Wealth Index Data",
"access to economic mobility information"
],
"acronym": [
"MPCDR-EA"
],
"producer": [
"Global Telecommunication Institute"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure analyses reveal significant disparities in consumption patterns among rural households, especially when contextualized within the framework provided by the National Family Health Survey 2020 (NFHS 2020). The survey, produced... | {
"entities": {
"name": [
"National Family Health Survey 2020"
],
"acronym": [
"NFHS 2020"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2020"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements were essential for estimating carbon stocks across diverse ecosystems, particularly when using the Global LiDAR Carbon Stock Assessment 2022 (GLCSA 2022) as a foundational reference point. This assessment, produced b... | {
"entities": {
"name": [
"Global LiDAR Carbon Stock Assessment 2022",
"Aerial Canopy Height Measurement Survey Data"
],
"acronym": [
"GLCSA 2022"
],
"producer": [
"International Carbon Measurement Institute"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the Jordan Refugee Registration System (JRRS) into broader refugee management practices underscores the significance of a centralized database for tracking individuals. Established by UNHCR, this system provides compr... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"refugee settlement tracking records",
"historical refugee registration information"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | efficacy of the UNHCR Jordan Refugee Registration System (UJRRS) in facilitating the identification and settlement of refugees has become increasingly vital in the context of ongoing humanitarian needs. Established as a comprehensive da... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System"
],
"acronym": [
"UJRRS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrates a significant spatial correlation between the location of internally displaced persons and the provision of humanitarian assistance. The analysis employed data from the Yemen IDP Location and Needs Assessment 2022 (YILNA), ... | {
"entities": {
"name": [
"Yemen IDP Location and Needs Assessment 2022"
],
"acronym": [
"YILNA"
],
"producer": [
"Yemeni Red Crescent Society"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Moisture levels are critical for determining agricultural productivity, with recent advancements in remote sensing technologies providing new insights. The Sentinel-2 Soil Moisture Monitoring Program (S2SMP), produced by the European Sp... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Program",
"Global Satellite Soil Moisture Product",
"Earth Observation Satellite Imagery for Agriculture",
"National Agricultural Monitoring System",
"Long-Term Soil Moisture Records",
"Satellite Imagery for Crop He... |
specificity: named | descriptive | vague usage: primary | supporting | background | using localized survey data, particularly the Ethiopian Agricultural Sample Survey 2021 (EASS 2021) produced by the Central Statistical Agency of Ethiopia, which provides critical insights into agricultural practices, complemented by sa... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2021",
"Normalized Difference Vegetation Index Time Series Data",
"Ethiopia Crop Yield Assessment Report 2020",
"Localized Agricultural Survey Data from Northern Ethiopia",
"Remote Sensing Data for Crop Monitoring in Eth... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial analyses reveal a stark correlation between the metrics derived from the Brazil National Forest Inventory 2019 (BNFI) and the results obtained from the Satellite Imagery for Deforestation Monitoring. This inventory, produced ... | {
"entities": {
"name": [
"Brazil National Forest Inventory 2019",
"Satellite Imagery for Deforestation Monitoring",
"Cumulative Carbon Emissions Estimates in Brazilian Forests"
],
"acronym": [
"BNFI"
],
"producer": [
"Brazilian Institute of Geography and Statistics (... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking efforts for internally displaced persons in Yemen rely heavily on the Yemen IDP Location Tracking Database (YILTDB), a comprehensive database produced by the Yemen Humanitarian Assistance Coalition in 2022. This tool provides c... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Humanitarian Assistance Needs Assessment Records",
"available records on IDP movements"
],
"acronym": [
"YILTDB"
],
"producer": [
"Yemen Humanitarian Assistance Coalition"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Quantitative assessments of malaria vector populations highlight the critical role of localized insecticide-treated bed nets in mitigating transmission rates in Nigeria. Recent insights derived from the Malaria Vector Surveillance Datab... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database 2022",
"geospatial data on insecticide-treated bed nets distribution"
],
"acronym": [
"MVSD22"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"timeframe": [
"2022"
],
"d... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of geospatial forest loss datasets into the regression model allows for a nuanced understanding of the relationship between deforestation rates and carbon emissions. Specifically, the Brazilian National Forest Inventory ... | {
"entities": {
"name": [
"Brazilian National Forest Inventory"
],
"acronym": [
"BNFI"
],
"producer": [
"Brazilian Institute of Geography and Statistics (IBGE)"
],
"timeframe": [
"2015-2020"
],
"datatype": [
"Inventory"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Tracking mechanisms regarding asylum seekers in Germany reveal substantial variations in processing times, as indicated by the Asylum Application Processing Times Report produced by the European Asylum Support Office (EASO). These varia... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database",
"Asylum Application Processing Times Report"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)",
"European Asylum Support Office (EASO)"
],
"dataty... |
specificity: named | descriptive | vague usage: primary | supporting | background | Hydrological assessments derived from satellite imagery have gained significant traction in agricultural practices, particularly with regard to soil moisture levels. Data acquired through the Sentinel-2 Soil Moisture Observation Network... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Observation Network"
],
"acronym": [
"S2SMON"
],
"producer": [
"European Space Agency"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relat... |
specificity: named | descriptive | vague usage: primary | supporting | background | Despite claims regarding the utility of mobile phone call detail records (CDRs) in poverty mapping, critical limitations persist. Initial analyses often hinge on Ordinary Least Squares (OLS) regression models, where coefficients may suf... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | intake trends reveal significant fluctuations in the number of asylum seekers registered within the German Asylum Seeker Registration System (GASRS) from 2015 to 2023. The GASRS, a comprehensive database managed by the Federal Office fo... | {
"entities": {
"name": [
"German Asylum Seeker Registration System"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primar... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implementation of effective spatial planning in refugee camps necessitates integrating multiple data sources to inform resource allocation and infrastructural development. For instance, the Kenya Refugee Health Information System (K... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Survey of Water Supply and Sanitation in Refugee Camps",
"UNHCR Refugee Registration Database",
"Spatial Data on Refugee Camp Infrastructure",
"Water Access Monitoring in Refugee Settlements",
"Records of Dis... |
specificity: named | descriptive | vague usage: primary | supporting | background | in analyzing the spatial distribution of poverty indicators across urban and rural sectors, the Colombian Poverty Indicators Survey 2021 (CPIS 2021) serves as a critical dataset, produced by the National Administrative Department of Sta... | {
"entities": {
"name": [
"Colombian Poverty Indicators Survey 2021",
"household welfare assessment data",
"recently collected records on social safety net coverage"
],
"acronym": [
"CPIS 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"... |
specificity: named | descriptive | vague usage: primary | supporting | background | The integration of mobile phone data has proven invaluable in enhancing poverty mapping initiatives. Utilizing the Global Mobile Phone Data for Poverty Mapping (GMPD-PM) database, produced by the International Telecommunications Union i... | {
"entities": {
"name": [
"Global Mobile Phone Data for Poverty Mapping",
"Mobile Call Detail Records for Socioeconomic Analysis",
"recently collected records"
],
"acronym": [
"GMPD-PM"
],
"producer": [
"International Telecommunications Union"
],
"timeframe": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implications of the UNHCR Refugee Registration Database (URRD) reveal critical insights into refugee demographics and settlement patterns across Jordan and Lebanon. Produced by the United Nations High Commissioner for Refugees (UNHC... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis indicates a strong correlation between the refugee demographic shifts and the data from the Jordan Refugee Registration System (JRRS), a comprehensive database produced by UNHCR covering the timeframe from 2015-2023. By app... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"Refugee Settlement Tracking Records"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database",
"report"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations rely heavily on both satellite-derived metrics and localized assessments. The integration of the Ethiopian National Agricultural Survey 2022 (ENAS22)⁶, produced by the Ethiopian Ministry of Agriculture, serves as a fou... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022",
"localized vegetation index survey data"
],
"acronym": [
"ENAS22"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | region has been increasingly scrutinized due to the alarming rates of forest loss and its implications for global carbon emissions. The Brazilian Amazon Deforestation Monitoring System (BAMDS), produced by the Instituto Nacional de Pesq... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System"
],
"acronym": [
"BAMDS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"System"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial analysis of refugee camps in Kenya has revealed critical insights into water supply access and disease monitoring patterns. Recent data from the Kenya Refugee Health and Water Access Survey (KRHWAS), produced by the Kenya Minist... | {
"entities": {
"name": [
"Kenya Refugee Health and Water Access Survey"
],
"acronym": [
"KRHWAS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"usage... |
specificity: named | descriptive | vague usage: primary | supporting | background | lacking an empirical framework, the analysis employs generalized linear models to evaluate factors influencing border crossings and asylum seeker registrations. Previous studies have highlighted the necessity of considering socioeconomi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | tracked through the Asylum Seeker Processing Records 2020 (ASPR 2020), a comprehensive database produced by the Federal Office for Migration and Refugees (BAMF). The analysis reveals significant variations in processing times across dif... | {
"entities": {
"name": [
"Asylum Seeker Processing Records 2020"
],
"acronym": [
"ASPR 2020"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2020"
],
"datatype": [
"database"
],
"specificity": [
"na... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure data was analyzed using Ordinary Least Squares (OLS) regression models to evaluate the relationship between the distribution of insecticide-treated bed nets and the incidence of malaria. While the Gini coefficient provided i... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Disparities in malaria vector control efforts can be effectively analyzed using a spatial overlay methodology that integrates data from the Nigeria Malaria Vector Surveillance Database (NMVSD), a comprehensive database produced by the N... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets in Nigeria",
"recently collected records on malaria vector habitats"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Pr... |
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