input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption patterns across the region were evaluated through a robust framework that incorporates the multidimensional poverty index (MPI) assessments. A critical component of this analysis derives from the Central American M... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Survey 2022"
],
"acronym": [
"CAMPI 2022"
],
"producer": [
"Central American Institute for Research and Policy"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"sp... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption patterns reveal critical insights into multidimensional poverty, particularly when evaluated against structured metrics. The Central American Household Consumption and Poverty Assessment (CAHCPA), conducted by the ... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Assessment"
],
"acronym": [
"CAHCPA"
],
"producer": [
"Central American Statistical Office"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | intervention designs^1 based on a vague understanding of spatial correlations. The methodology relies heavily on assumptions derived from past studies without robust validation of the collected data. Regression models such as ordinary l... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in conjunction with the Yemen IDP Location Tracking Database (YIDP-LT), the accurate mapping of internally displaced persons (IDPs) in Yemen has become crucial for the timely provision of humanitarian assistance. This database, produced... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YIDP-LT"
],
"producer": [
"Yemen National Humanitarian Response Team"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | may significantly hinder the processing of asylum seekers, given that many refugees are categorized within various subgroups—such as single-parent households or individuals with acute medical needs—leading to inefficiencies in administr... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations were significantly enhanced by integrating the Normalized Difference Vegetation Index (NDVI) Satellite Imagery, which provided a robust framework for remote sensing analysis. The Ethiopian Crop Yield Assessment Survey ... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment Survey 2022",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Ethiopian Agricultural Production Statistical Report 2021",
"Localized Agricultural Household Survey Data",
"recent survey results on crop yiel... |
specificity: named | descriptive | vague usage: primary | supporting | background | employing ordinary least squares (OLS) regression to analyze the relationship between carbon emission rates and agricultural output. Models typically account for variables such as household consumption expenditure, which can significant... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The significant rise in border crossings has been documented through the Border Crossings Monitoring Report, which covers the years 2020-2022 and highlights trends that align with recent asylum registration trends in Southern Europe. Am... | {
"entities": {
"name": [
"European Migration Network Asylum Seekers Database",
"Border Crossings Monitoring Report",
"recent asylum registration trends"
],
"acronym": [
"EMN-ASD"
],
"producer": [
"European Commission"
],
"timeframe": [
"2021",
"20... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis highlights that the asylum seeker intake tracking reveals significant correlations between processing times and demographic factors, particularly among different nationalities. Specifically, utilizing the German Asylum Seek... | {
"entities": {
"name": [
"German Asylum Seeker Intake Records 2021"
],
"acronym": [
"GASIR2021"
],
"producer": [
"Federal Office for Migration and Refugees, Germany"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | while using OLS regression models to determine relationships among variables, it is crucial to address the limitations of p-values in assessing the significance of the predictors. The analysis often reveals issues such as multicollinear... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | urban flood corridors intersect with informal settlements, revealing critical vulnerabilities that warrant immediate attention. Utilizing the Urban Flood Risk Assessment Database (UFRAD), a comprehensive database produced by the Banglad... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geo... |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators related to poverty levels in Colombia reveal significant insights into the effectiveness of social safety nets. The Sistema de Información sobre Estrategias de Superación de la Pobreza (SIESP), a database produced by the Mini... | {
"entities": {
"name": [
"Sistema de Información sobre Estrategias de Superación de la Pobreza",
"poverty and welfare assessment survey data"
],
"acronym": [
"SIESP"
],
"producer": [
"Ministerio de Desarrollo Social de Colombia"
],
"timeframe": [
"2019-2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Visible trends in soil moisture levels were analyzed using the Sentinel-2 Soil Moisture and Agricultural Monitoring Database (SSMAMD), a comprehensive database produced by the European Space Agency covering the period from 2015 to 2023.... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture and Agricultural Monitoring Database",
"Remote Sensing Satellite Imagery for Soil Moisture Assessment",
"recently collected satellite records"
],
"acronym": [
"SSMAMD"
],
"producer": [
"European Space Agency"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | incorporated regression models demonstrated significant correlations between water supply access and the incidence of waterborne diseases across various refugee camps. The Kenya Refugee Camp Health Monitoring Database (KRC-HMD), produce... | {
"entities": {
"name": [
"Kenya Refugee Camp Health Monitoring Database"
],
"acronym": [
"KRC-HMD"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of crop yields using vegetation indices, particularly the Normalized Difference Vegetation Index (NDVI), have shown substantial improvements when supplemented with localized survey data. The incorporation of the Ethiopian Ag... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey on Crop Production"
],
"acronym": [
"EASCP"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the prevalence of multidimensional poverty has been quantified using various metrics, including the insights derived from the Central America Poverty Assessment Survey (CAPAS) 2021. This survey, produced by the Central American Institut... | {
"entities": {
"name": [
"Central America Poverty Assessment Survey (CAPAS) 2021"
],
"acronym": [
"CAPAS"
],
"producer": [
"Central American Institute for Economic Integration"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | the ongoing analysis highlights that the UNHCR Jordan Refugee Registration System (UJRS), a comprehensive database produced by the United Nations High Commissioner for Refugees, is instrumental in monitoring the refugee population dynam... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System",
"Refugee Household Registration Data",
"recently collected registration records"
],
"acronym": [
"UJRS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators for poverty in Colombia have shown significant fluctuations, particularly when analyzed through the lens of the Colombian National Welfare Survey 2021 (CNWS 2021) conducted by the National Department of Statistics (DANE). Thi... | {
"entities": {
"name": [
"Colombian National Welfare Survey 2021"
],
"acronym": [
"CNWS 2021"
],
"producer": [
"National Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant results were obtained by employing a regression model to analyze the impact of various socioeconomic factors on consumption patterns among rural households. Utilizing data from the National Household Survey on Consumption Pa... | {
"entities": {
"name": [
"National Household Survey on Consumption Patterns"
],
"acronym": [
"NHSC"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | By 2022, tracking the efficacy of the asylum seeker intake process necessitated detailed insight from various data sources, primarily the German Asylum Seekers Registration Database (GASRD), a comprehensive database managed by the Feder... | {
"entities": {
"name": [
"German Asylum Seekers Registration Database",
"Asylum Processing Time Records",
"collected administrative records on refugee applications"
],
"acronym": [
"GASRD"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"timef... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets has been prioritized within the context of the National Malaria Vector Surveillance System (NMVSS), a comprehensive system produced by the Nigeria Ministry of Health that spans the timeframe of 202... | {
"entities": {
"name": [
"National Malaria Vector Surveillance System",
"Geospatial Mapping of Insecticide-treated Bed Nets in Nigeria",
"Global Malaria Program Data Repository",
"Local Vector Density Monitoring Records",
"Insecticide Resistance Monitoring Trends Report",
"Arc... |
specificity: named | descriptive | vague usage: primary | supporting | background | settlement patterns among refugees in Jordan and Lebanon indicate significant reliance on the UNHCR Refugee Registration System (UNHCR-RS) for tracking demographics and service needs. This database, produced by the United Nations High C... | {
"entities": {
"name": [
"UNHCR Refugee Registration System"
],
"acronym": [
"UNHCR-RS"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | refugee intake processes have increasingly relied on extensive tracking mechanisms. The German Asylum Seeker Registration Database (GASRD), produced by the Federal Office for Migration and Refugees (BAMF), provides vital insights into t... | {
"entities": {
"name": [
"German Asylum Seeker Registration Database",
"Asylum Processing Time Records",
"National Refugee Statistics Compilation",
"Administrative Refugee Case Files",
"Refugee Intake Assessment Overview",
"Annual Refugee Registration Summary"
],
"acro... |
specificity: named | descriptive | vague usage: primary | supporting | background | intersecting the spatial layers from the Nigeria Malaria Vector Surveillance Program 2021 (NMVSP), which serves as a comprehensive system produced by the National Malaria Elimination Programme, Nigeria, alongside the Geospatial Mapping ... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2021",
"Geospatial Mapping of Insecticide-Treated Bed Nets in Nigeria",
"Nigerian Malaria Epidemiological Database",
"Local Vector Control Assessment Records",
"Historical Malaria Vector Distribution Records",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | crop yield estimations are significantly enhanced through the integration of multiple data sources. Combining the Normalized Difference Vegetation Index (NDVI) Satellite Imagery with localized agricultural survey data enables more preci... | {
"entities": {
"name": [
"Ethiopian Crop Yield Assessment 2022",
"Normalized Difference Vegetation Index (NDVI) Satellite Imagery",
"Ethiopia Agricultural Census 2020",
"localized agricultural survey data",
"available historical crop yield records",
"Ethiopian National Soil In... |
specificity: named | descriptive | vague usage: primary | supporting | background | in combination with the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), which spans the timeframe from 2015 to 2023, researchers can derive critical insights into soil moisture levels essential for effective agricultural practices... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"Remote Sensing Imagery for Agricultural Assessment",
"historical agricultural monitoring records"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Through the integration of localized crop yield survey data and the Ethiopian National Agricultural Survey 2022 (ENAS 2022), a more accurate estimation of crop yields in Ethiopia has emerged. This survey data, produced by the Ethiopian ... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022",
"localized crop yield survey data"
],
"acronym": [
"ENAS 2022"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"survey... |
specificity: named | descriptive | vague usage: primary | supporting | background | patterns across various geographical locations. The analysis incorporates the **European Migration Network Annual Report (EMN-AR)**, a comprehensive *report* produced by the **European Migration Network** for the year **2021**, which se... | {
"entities": {
"name": [
"European Migration Network Annual Report",
"Border Crossing Registrations in Southern Europe",
"UNHCR Asylum Seeker Statistics 2023",
"Southern European Migration Flow Analysis",
"available records on migration patterns",
"Italy Refugee and Asylum Inf... |
specificity: named | descriptive | vague usage: primary | supporting | background | evidence from the Brazilian Deforestation Monitoring System (BDMS) has been pivotal in understanding spatial correlations between forest loss and rising carbon emissions in Brazil. The BDMS, produced by the Brazilian Institute of Enviro... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System"
],
"acronym": [
"BDMS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Tracking mechanisms highlight the significance of the UNHCR Jordan Refugee Registration System (JRR), a critical database managed by the United Nations High Commissioner for Refugees (UNHCR) since 2015. By systematically cataloging refu... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System"
],
"acronym": [
"JRR"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of data from the Nigeria Malaria Vector Surveillance Program 2021 (NMVSP) has revealed critical insights into the distribution and behavior of malaria vectors across various regions. This surveillance program, produced b... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2021",
"Geospatial Mapping of Insecticide-Treated Bed Nets",
"recent malaria vector control information"
],
"acronym": [
"NMVSP"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe"... |
specificity: named | descriptive | vague usage: primary | supporting | background | The patterns of border crossings among asylum seekers in Southern Europe have undergone significant changes, particularly between 2019 and 2022. Notably, data from the Southern European Asylum Seekers Registration System (SEASRS), a com... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | In conjunction with the Yemen IDP Location Tracking Database (YILT), which was produced by UNHCR in 2022, spatial analysis reveals critical patterns of displacement and accessibility to essential services. The integration of real-time s... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"real-time satellite imagery for humanitarian assistance planning"
],
"acronym": [
"YILT"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2022"
],
"datatype": [
"Database",
"imag... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the National Aerial Lidar and Canopy Height Assessment (NALCHA) data into existing frameworks enhances the precision of carbon stock estimations. With a data type classified as an assessment produced by the National F... | {
"entities": {
"name": [
"National Aerial Lidar and Canopy Height Assessment",
"Aerial Canopy Height Measurement Records"
],
"acronym": [
"NALCHA"
],
"producer": [
"National Forestry Agency"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assess... |
specificity: named | descriptive | vague usage: primary | supporting | background | through the analysis of call patterns, researchers leveraged the database derived from the Mobile Phone CDR Poverty Mapping Project (MPCDPM) to generate insights into poverty levels across regions. The integration of mobile phone call d... | {
"entities": {
"name": [
"Mobile Phone CDR Poverty Mapping Project",
"mobile phone call detail records for wealth index estimation"
],
"acronym": [
"MPCDPM"
],
"producer": [
"International Telecommunication Union"
],
"timeframe": [
"2022-2023"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of geospatial data has revealed significant insights into urban flood corridors and the vulnerability of informal settlements in Bangladesh. Notably, the Bangladesh Urban Flood Mapping Database (BUFMD), produced by the B... | {
"entities": {
"name": [
"Bangladesh Urban Flood Mapping Database",
"Geospatial Analysis of Flood-Prone Areas and Informal Settlements"
],
"acronym": [
"BUFMD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype... |
specificity: named | descriptive | vague usage: primary | supporting | background | vectors identified through the Nigerian Malaria Vector Surveillance Database (NMVSD), a comprehensive database produced by the National Malaria Elimination Program, Nigeria, from 2021-2023, reveal significant trends in the geospatial di... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"geospatial distribution of insecticide-treated bed nets in Nigeria"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2021-202... |
specificity: named | descriptive | vague usage: primary | supporting | background | to quantify the relationship between household consumption and multidimensional poverty, regression analyses employing Ordinary Least Squares (OLS) were applied to identify the coefficients associated with each variable. The model aimed... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | understanding the variations in processing durations necessitated a comprehensive analysis of the Germany Asylum Seeker Intake Database (GASID), a critical resource compiled by the Federal Office for Migration and Refugees from 2019 to ... | {
"entities": {
"name": [
"Germany Asylum Seeker Intake Database",
"Administrative Refugee Processing Times Records",
"collected records on asylum applications"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | processing times have remained a critical area of concern, particularly in relation to the German Asylum Seeker Registration System (GASRS), a comprehensive database maintained by the Federal Office for Migration and Refugees (BAMF) cov... | {
"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 | in particular, the Southern European Migration Flow Assessment 2022 (SEMFA) indicates significant fluctuations in border crossings and asylum seeker registrations throughout the year. The assessment, produced by the European Union Agenc... | {
"entities": {
"name": [
"Southern European Migration Flow Assessment 2022"
],
"acronym": [
"SEMFA"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the prevailing metrics for understanding poverty in Colombia are heavily reliant on datasets like the Colombia National Household Survey on Income and Expenditure 2022 (CNHIE), a comprehensive survey conducted by the National Administra... | {
"entities": {
"name": [
"Colombia National Household Survey on Income and Expenditure 2022"
],
"acronym": [
"CNHIE"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | vegetation index data, particularly the Normalized Difference Vegetation Index (NDVI), has proven essential in estimating crop yields in Ethiopia, especially when combined with localized survey data such as the Ethiopian National Agricu... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022"
],
"acronym": [
"ENAS 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations are significantly enhanced when incorporating both the vegetation index and localized survey data, particularly within the Ethiopian context. The Ethiopian Agricultural Survey Database (EASD), produced by the Ethiopian... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey Database"
],
"acronym": [
"EASD"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in particular, the detailed insights provided by the National Sample Survey on Expenditure Patterns (NSS-EP), conducted by the Ministry of Statistics and Programme Implementation, Government of India, for the timeframe of 2017-2018, rev... | {
"entities": {
"name": [
"National Sample Survey on Expenditure Patterns",
"rural household consumption expenditure survey data"
],
"acronym": [
"NSS-EP"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements derived from the National Aerial LiDAR and Canopy Height Database (NALCHD) have proven invaluable for accurate carbon stock estimation in forested regions. This database, produced by the Geospatial Research In... | {
"entities": {
"name": [
"National Aerial LiDAR and Canopy Height Database"
],
"acronym": [
"NALCHD"
],
"producer": [
"Geospatial Research Institute"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, remote sensing techniques have provided significant advantages for monitoring agricultural health and soil conditions. The utilization of the Sentinel-2 Soil Moisture and Vegetation Index Dataset (SSMVID) allows for compre... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture and Vegetation Index Dataset"
],
"acronym": [
"SSMVID"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2017-2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Internally displaced persons (IDPs) in Yemen face significant challenges in securing access to essential services. The Yemen IDP Location and Needs Assessment (YILNA), produced by the United Nations Office for the Coordination of Humani... | {
"entities": {
"name": [
"Yemen IDP Location and Needs Assessment"
],
"acronym": [
"YILNA"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2023"
],
"datatype": [
"Assessment"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | population-level studies indicate a significant correlation between the distribution of insecticide-treated bed nets (ITNs) and the abundance of malaria vectors in Nigeria. The Nigerian Vector Mapping Initiative 2021 (NVMI 2021), a comp... | {
"entities": {
"name": [
"Nigerian Vector Mapping Initiative 2021"
],
"acronym": [
"NVMI 2021"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial analysis of the distribution patterns revealed significant correlations between the presence of malaria vectors and the proximity to insecticide-treated bed nets, as indicated by data from the Vector Surveillance and Insectic... | {
"entities": {
"name": [
"Vector Surveillance and Insecticide Resistance Monitoring in Nigeria"
],
"acronym": [
"VSIRMN"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"surveillance system"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | to quantify deforestation patterns, the Brazilian Forest Monitoring Program (BFMP), produced by the Instituto Nacional de Pesquisas Espaciais (INPE) from 2018-2022, provides a critical assessment of forest changes. Additionally, the Geo... | {
"entities": {
"name": [
"Brazilian Forest Monitoring Program",
"Geospatial Forest Loss Analysis",
"National Deforestation Rates in Brazil",
"carbon emissions from deforestation in the Amazon",
"Brazil Deforestation Historical Data",
"Satellite Imagery for Environmental Monito... |
specificity: named | descriptive | vague usage: primary | supporting | background | the need for accurate tracking of internally displaced persons (IDPs) in Yemen has become increasingly critical, especially in light of the ongoing humanitarian crisis. Data derived from the Yemen IDP Registration Database (YIRDB), prod... | {
"entities": {
"name": [
"Yemen IDP Registration Database",
"location tracking survey data for IDPs",
"historical records of displacement patterns"
],
"acronym": [
"YIRDB"
],
"producer": [
"Yemen National Authority for Refugee Affairs"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | specifically, the Colombian National Socioeconomic Survey (ENEC) 2021, produced by the Department of National Statistics, highlights the critical relationship between poverty indicators and welfare assessments in urban and rural context... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey (ENEC) 2021",
"household income and expenditure assessment data"
],
"acronym": [
"ENEC"
],
"producer": [
"Department of National Statistics"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Border crossings into Southern Europe have demonstrated notable fluctuations, particularly among asylum seekers who have utilized various routes for entry. The Southern European Migration Flows Database (SEMFDB), a comprehensive databas... | {
"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 | height measurements demonstrated a significant correlation when analyzed through the regression control framework. By utilizing the Global LiDAR Canopy Height Database (GLCHD), produced by the International Forest Research Institute in ... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Database",
"Aerial Canopy Height Measurement Records"
],
"acronym": [
"GLCHD"
],
"producer": [
"International Forest Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to essential services remains a critical challenge for internally displaced persons (IDPs) in Yemen. The Yemen IDP Location Tracking System (YITS), a database produced by the United Nations Office for the Coordination of Humanita... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System"
],
"acronym": [
"YITS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | evidence indicates a significant disparity in processing times across different administrative regions in Germany. The German Asylum Seeker Intake Database (GASID), maintained by the Federal Office for Migration and Refugees (BAMF), has... | {
"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 | the analysis of poverty indicators reveals critical insights into the welfare assessments and social safety nets coverage in Colombia. For instance, the Colombian National Household Survey (CNHS), produced by the Departamento Administra... | {
"entities": {
"name": [
"Colombian National Household Survey"
],
"acronym": [
"CNHS"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2020"
],
"datatype": [
"Survey"
],
"specificity": [
"n... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to clean water and health monitoring are critical components of spatial planning in refugee camps. Data derived from the Kenya Refugee Health Information System (KRHIS), produced by the Kenya Ministry of Health, indicates signifi... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Access Survey in Refugee Camps",
"UNHCR Kenya Refugee Registration Records",
"Epidemiological Surveillance Data in Refugee Camps",
"available records on water supply and health outcomes"
],
"ac... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimations can be significantly improved by integrating satellite-derived indices with ground-level data. For instance, the vegetation index (NDVI) serves as a critical indicator for assessing crop health, while localized assessments p... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2021",
"crop yield estimation survey data"
],
"acronym": [
"EAS 2021"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey",
"Surv... |
specificity: named | descriptive | vague usage: primary | supporting | background | modeling efforts, regression analyses reveal that integrating the Ethiopian Crop Yield Survey 2021 (ECYS21) provides a significant correlation with the vegetation indices derived from the Satellite Imagery for Vegetation Index Analysis.... | {
"entities": {
"name": [
"Ethiopian Crop Yield Survey 2021",
"Satellite Imagery for Vegetation Index Analysis",
"Historical Agricultural Yield Data for Ethiopia"
],
"acronym": [
"ECYS21"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timefra... |
specificity: named | descriptive | vague usage: primary | supporting | background | canopy height measurements have been a focal point in carbon stock estimation efforts, particularly utilizing the Global Forest Canopy Height Database (GFCHD), a comprehensive database produced by the International Forest Research Insti... | {
"entities": {
"name": [
"Global Forest Canopy Height Database",
"LiDAR-derived canopy height estimation records",
"available LiDAR measurements for carbon stock analysis"
],
"acronym": [
"GFCHD"
],
"producer": [
"International Forest Research Institute"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessing asylum seeker intake tracking in Germany reveals significant discrepancies in processing times and outcomes, suggesting underlying systemic issues. The regression models employed utilized ordinary least squares (OLS) methodolo... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | measurement of forest loss in Brazil reveals critical insights into the ongoing deforestation crisis, particularly as highlighted by the Brazil Forest Cover Change Database (BFCCDB), which provides comprehensive data from 2010-2020. The... | {
"entities": {
"name": [
"Brazil Forest Cover Change Database",
"geospatial forest loss monitoring data"
],
"acronym": [
"BFCCDB"
],
"producer": [
"Brazilian National Institute for Space Research (INPE)"
],
"timeframe": [
"2010-2020"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | …the analysis indicates that the integration of the Yemen Internally Displaced Persons Database (YIDPD) produced by the Yemen Ministry of Human Rights from 2021-2023 provides a foundational layer for understanding IDP distribution. Nota... | {
"entities": {
"name": [
"Yemen Internally Displaced Persons Database",
"Geospatial Analysis of IDP Locations in Yemen",
"Humanitarian Assistance Monitoring Records",
"Yemen IDP Needs Assessment Survey",
"Crisis Response Overview for Yemen",
"IDP Location Tracking Satellite Im... |
specificity: named | descriptive | vague usage: primary | supporting | background | Regression analyses focused on the integration of various data types to enhance the accuracy of crop yield estimations revealed significant correlations between the normalized difference vegetation index for East Africa and localized su... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2021",
"normalized difference vegetation index for East Africa",
"Crop Yield Monitoring System Data",
"Vegetation Index Comparison Data",
"available historical crop yield records",
"localized farm survey data for crop ass... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking the movements and needs of internally displaced persons (IDPs) in Yemen has become increasingly complex due to the ongoing conflict. The Yemen IDP Location and Assistance Tracking System (YILTAS), produced by the United Nations... | {
"entities": {
"name": [
"Yemen IDP Location and Assistance Tracking System",
"Displacement and Assistance Needs Assessment Data",
"recently collected humanitarian aid distribution records"
],
"acronym": [
"YILTAS"
],
"producer": [
"United Nations Office for the Coor... |
specificity: named | descriptive | vague usage: primary | supporting | background | in particular, the Jordan and Lebanon Refugee Registration Tracking System (JLRRTS) has been instrumental in managing data related to refugee populations in both countries. Established by UNHCR in 2015, this system has collected and ana... | {
"entities": {
"name": [
"Jordan and Lebanon Refugee Registration Tracking System"
],
"acronym": [
"JLRRTS"
],
"producer": [
"UNHCR"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"relations": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | height estimations provide crucial insights into carbon stock calculations, particularly when derived from advanced technologies such as LiDAR. The National Aerial LiDAR Canopy Height Database (NALCHD), produced by the National Oceanic ... | {
"entities": {
"name": [
"National Aerial LiDAR Canopy Height Database"
],
"acronym": [
"NALCHD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in analyzing the administrative patterns of asylum seeker intake, the integration of the German Asylum Seeker Processing Database (GASPD) has proven vital. This database, maintained by the Federal Office for Migration and Refugees (BAMF... | {
"entities": {
"name": [
"German Asylum Seeker Processing Database"
],
"acronym": [
"GASPD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primar... |
specificity: named | descriptive | vague usage: primary | supporting | background | for effective monitoring and precision agriculture practices, regression analyses were conducted using the Sentinel-2 Soil Moisture Imagery Database (SSMID), a comprehensive database produced by the European Space Agency covering the ti... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Imagery Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"SSMID"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | interpolation of the available administrative records highlights significant variations in processing times across different federal states. Specifically, the Asylum Seeker Intake Database 2022 (ASID2022) reveals that intake rates were ... | {
"entities": {
"name": [
"Asylum Seeker Intake Database 2022",
"Refugee Processing Times Report",
"available administrative records"
],
"acronym": [
"ASID2022"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | together, these factors illustrate the complexity of the refugee situation in the region, particularly with the ongoing updates to the Jordan Refugee Registration System (JRRS), a comprehensive database produced by UNHCR that has been o... | {
"entities": {
"name": [
"Jordan Refugee Registration System"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geography": [
"Jordan and Leb... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure, along with tree height as measured by LiDAR, serves as a critical variable in estimating carbon stocks across various forest types. Using ordinary least squares (OLS) regression, the model aims to predict carbon storage bas... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | In 2022, the integration of the UNHCR Jordan Refugee Registration Database (URRD) has significantly enhanced the tracking of refugees in Jordan. This database, produced by UNHCR, provides critical insights into the ongoing challenges fa... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration Database",
"refugee settlement tracking records",
"available information on refugee demographics"
],
"acronym": [
"URRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2022"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | the results illustrate a complex relationship between poverty metrics and economic behavior, particularly when analyzed alongside the Multidimensional Poverty Index Assessment Dataset 2022 (MPIA 2022) produced by the Central American De... | {
"entities": {
"name": [
"Multidimensional Poverty Index Assessment Dataset 2022",
"Household Consumption Expenditure Survey Data",
"available records on household poverty assessments"
],
"acronym": [
"MPIA 2022"
],
"producer": [
"Central American Development Bank"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Planning for optimal resource allocation in refugee camps is crucial for maintaining public health. Accessibility to clean water directly impacts health outcomes, as evidenced by the findings from the Kenya Refugee Camp Water Supply Ass... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2021",
"refugee health monitoring survey data"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021"
],
"datatype... |
specificity: named | descriptive | vague usage: primary | supporting | background | the Gini coefficient serves as a principal indicator of income inequality across various strata, although its application in welfare assessments often obscures underlying poverty conditions. Regression models utilizing Ordinary Least Sq... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Consumption patterns significantly influence the accuracy of the multidimensional poverty index assessment data, particularly in Central America. As highlighted in the Central American Household Consumption Survey 2022 (CAHCS 2022), pro... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2022",
"multidimensional poverty index assessment data",
"Recent household expenditure information"
],
"acronym": [
"CAHCS 2022"
],
"producer": [
"Central American Statistical Office"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial distribution analyses revealed significant correlations between access to water supply and disease incidence in refugee camps. In particular, the Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA) provided comprehensive me... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"spatial planning and resource allocation records"
],
"acronym": [
"KRCWSA"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | crossings observed along the Mediterranean have revealed a significant increase in irregular migration patterns, with data extracted from the Southern European Asylum Seekers Registration System (SEASRS) indicating that over 100,000 ind... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2022"
],
"datatype": [
"System"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the statistical analysis was conducted using an Ordinary Least Squares (OLS) regression model to assess the relationship between poverty indicators and the coverage of social safety nets in Colombia. Key variables included household con... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | moisture variations have been successfully mapped using the European Space Agency Sentinel-2 Imagery Database (ESA-S2ID), which provides high-resolution satellite imagery from 2015-present. This database facilitates agricultural monitor... | {
"entities": {
"name": [
"European Space Agency Sentinel-2 Imagery Database"
],
"acronym": [
"ESA-S2ID"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-present"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the existing social safety nets coverage can be closely analyzed using the Colombian National Household Survey (NHS), which provides comprehensive survey data produced by the Departamento Administrativo Nacional de Estadística (DANE) fo... | {
"entities": {
"name": [
"Colombian National Household Survey"
],
"acronym": [
"NHS"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2020"
],
"datatype": [
"Survey"
],
"specificity": [
"na... |
specificity: named | descriptive | vague usage: primary | supporting | background | for those migrating through Southern Europe, the dynamics of border crossings and asylum seekers registration are critical in understanding regional migration flows. The Southern Europe Asylum Seekers Registration System (SEASRS), produ... | {
"entities": {
"name": [
"Southern Europe Asylum Seekers Registration System"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Geospatial tracking of malaria vectors in Nigeria has shown significant correlations with the distribution of insecticide-treated bed nets (ITNs) across local communities. The analysis, derived from the Nigeria Malaria Vector Surveillan... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | data from the Nigeria Malaria Vector Surveillance Database (NMVSD) illustrates a comprehensive mapping of malaria vectors across various ecological zones in Nigeria. This database, produced by the National Malaria Elimination Programme,... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"pri... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure patterns reveal significant insights, particularly when analyzing the National Sample Survey on Consumption Expenditure (NSSCE) conducted by the Ministry of Statistics and Programme Implementation, Government of India during... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household survey data on expenditure and deprivation"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Inadequate infrastructure often exacerbates health challenges, leading to higher disease prevalence rates in refugee camps. Specifically, the use of OLS regression models allows for an analysis of the relationships between access to wat... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | launched in 2022, the Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales (SISBEN) has served as a crucial system for evaluating poverty indicators and assessing the coverage of welfare programs in Colombia. Thi... | {
"entities": {
"name": [
"Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales"
],
"acronym": [
"SISBEN"
],
"producer": [
"Departamento Nacional de Planeación (DNP)"
],
"timeframe": [
"2022"
],
"datatype": [
"system"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | strategic overlay of the Yemen IDP Location Tracking Database (YITD) and the UNHCR Yemen Displacement Monitoring System (DMS) enables a comprehensive understanding of the spatial distribution of internally displaced persons (IDPs) acros... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Yemen Household Displacement Survey Data",
"Humanitarian Assistance Records for Displaced Persons",
"UNHCR Yemen Displacement Monitoring System",
"Current Humanitarian Needs Assessment Data",
"Emergency Response... |
specificity: named | descriptive | vague usage: primary | supporting | background | to isolate the effects of various socio-economic factors on household consumption patterns in Central America. The Ordinary Least Squares (OLS) regression model was applied to assess the relationship between multidimensional poverty ind... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | soil moisture estimates derived from the Sentinel-2 satellite imagery have provided critical insights into agricultural health across various regions. The integration of data from the Sentinel-2 Soil Moisture Monitoring Database (S2SMMD... | {
"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 | the significant disparities revealed in the National Sample Survey on Consumption Expenditure (NSSCE) point to variances in household consumption patterns across different demographics in rural India. The NSSCE, conducted by the Ministr... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"Rural Household Deprivation Assessment",
"collected records on rural consumption"
],
"acronym": [
"NSSCE",
"RHDA"
],
"producer": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Localized assessments of malaria transmission dynamics were conducted using a combination of geospatial tracking and vector surveillance methodologies. Specifically, the analysis integrated data from the Malaria Vector Surveillance Prog... | {
"entities": {
"name": [
"Malaria Vector Surveillance Program 2022",
"Insecticide-treated Bed Net Distribution Records",
"Geospatial Analysis of Malaria Vectors 2021",
"Local Malaria Transmission Mapping Data",
"National Malaria Control Program Monitoring Data",
"Vector Contro... |
specificity: named | descriptive | vague usage: primary | supporting | background | measures of household consumption reveal significant disparities across different regions. For instance, the Central American Multidimensional Poverty Index Assessment 2021 (CAMPIA 2021) conducted by the Central America Social Research ... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Assessment 2021"
],
"acronym": [
"CAMPIA 2021"
],
"producer": [
"Central America Social Research Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"sp... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping flood corridors has revealed a significant correlation between urban flood risk and the proliferation of informal settlements. The Urban Flood Risk Assessment Database (UFRAD), a comprehensive database produced by the Bangladesh... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Meteorological Department"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"g... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial planning in refugee camps remains critical to optimizing water supply access and mitigating the risks of disease. According to the Kenya Refugee Camp Water Supply Assessment 2021 (KRCWSA), produced by the Kenya Ministry of Water... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2021",
"refugee health and disease monitoring survey data"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2021"
],
"datatype": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | monitoring asylum seeker intake has become increasingly sophisticated, with the integration of multiple tracking systems and databases designed to enhance processing efficiency. The Asylum Seeker Intake Database (ASID), produced by the ... | {
"entities": {
"name": [
"Asylum Seeker Intake Database",
"Refugee Processing Times Report",
"Administrative Refugee Records Overview",
"Intake Process Tracking System",
"Asylum Application Registration Data",
"Historical Asylum Seeker Trends",
"Refugee Registration Trac... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial distribution of malaria vectors is critical for evaluating the effectiveness of localized insecticide-treated bed nets. The Malaria Vector Surveillance Database (MVSD), produced by the Nigerian Center for Disease Control dur... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database",
"geospatial mapping of insecticide-treated bed nets"
],
"acronym": [
"MVSD"
],
"producer": [
"Nigerian Center for Disease Control"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"D... |
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