input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis indicated a significant correlation between the localized distribution of insecticide-treated bed nets and malaria vector prevalence. Utilizing the Nigerian Malaria Vector Surveillance Database (NMVSD), produced by the Nati... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"geospatial mapping of insecticide-treated bed nets distribution"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Control Program, Nigeria"
],
"timeframe": [
"2021-2023"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | persistent efforts to mitigate malaria transmission have focused on enhancing the effectiveness of localized interventions, particularly through the implementation of insecticide-treated bed nets (ITNs). In this context, the Nigeria Mal... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program (NMEP)"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | utilizing data from the Mobile Phone Call Detail Records for Socioeconomic Studies (CDR-SES), which is a comprehensive database produced by the Institute for Quantitative Social Research during the timeframe of 2021-2022, allows for pre... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Studies",
"mobile phone usage patterns for poverty mapping"
],
"acronym": [
"CDR-SES"
],
"producer": [
"Institute for Quantitative Social Research"
],
"timeframe": [
"2021-2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of spatial overlays between informal settlements and flood-prone corridors utilized a combination of datasets to provide a comprehensive overview of risks. The Urban Flood Risk Assessment Database 2022 (UFRAD), produced by ... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database 2022",
"Informal Settlement Mapping Data",
"National River Flood Forewarning System Records",
"Remote Sensing Imagery for Urban Planning",
"available flood risk assessment records",
"Household Vulnerability Assessm... |
specificity: named | descriptive | vague usage: primary | supporting | background | Understanding the spatial correlation between forest loss and carbon emissions necessitates a thorough examination of the Brazilian Amazon Deforestation Monitoring System (BAMDS). This system, produced by the Instituto Nacional de Pesqu... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System"
],
"acronym": [
"BAMDS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial overlay analysis indicated significant correlations between water supply access and disease incidence in the targeted refugee camps. The Kenya Refugee Health Information Monitoring System (KRHIMS), produced by the Kenyan Ministr... | {
"entities": {
"name": [
"Kenya Refugee Health Information Monitoring System",
"Water Access and Quality Assessment in Refugee Camps"
],
"acronym": [
"KRHIMS"
],
"producer": [
"Kenyan Ministry of Health"
],
"timeframe": [
"2019-2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | surveillance efforts have highlighted the critical role of the Nigeria Malaria Vector Surveillance Program (NMVSP), overseen by the Nigerian Ministry of Health from 2021-2023, in mapping the distribution of malaria vectors across differ... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program",
"Insecticide-treated Bed Nets Distribution Records",
"recently collected spatiotemporal data"
],
"acronym": [
"NMVSP"
],
"producer": [
"Nigerian Ministry of Health"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis utilizes the National Sample Survey on Consumption Expenditure (NSSCE) conducted by the Ministry of Statistics and Programme Implementation, Government of India for the timeframe of 2019-2020. This survey dataset... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"available rural expenditure survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Gov... |
specificity: named | descriptive | vague usage: primary | supporting | background | such as the application of the multidimensional poverty index assessments methodology can reveal significant disparities in well-being across different regions. In Central America, data from the Central American Household Consumption an... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Survey 2022",
"multidimensional poverty index assessments methodology",
"recently collected household expenditure records"
],
"acronym": [
"CAHCPS 2022"
],
"producer": [
"Central American In... |
specificity: named | descriptive | vague usage: primary | supporting | background | adjustments made for spatial variances, the analysis incorporated data from the Yemen IDP Location Tracking Database (YLTDB), which serves as a comprehensive database compiled by the Yemen Relief and Rehabilitation Agency during the 202... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Humanitarian Assistance Needs Assessment Data"
],
"acronym": [
"YLTDB"
],
"producer": [
"Yemen Relief and Rehabilitation Agency"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Da... |
specificity: named | descriptive | vague usage: primary | supporting | background | complementary datasets such as the Sentinel-2 Soil Moisture Monitoring Database (S2SMD), produced by the European Space Agency, provide critical insights into soil moisture levels across Europe from 2015-2023. The database enables resea... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"high-resolution satellite imagery for agricultural monitoring",
"Global Soil Moisture Information System (GSMIS)",
"remote sensing atmospheric data",
"Agricultural land use satellite imagery"
],
"acron... |
specificity: named | descriptive | vague usage: primary | supporting | background | to enhance the integration of water supply access with disease monitoring frameworks, particularly in the context of refugee camps in Kenya. The analysis of the Kenya Refugee Camp Water Supply Assessment 2021 (KRCWSA 2021), produced by ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2021",
"Malaria Incidence Monitoring in Refugee Camps",
"Regional Health Surveillance Records"
],
"acronym": [
"KRCWSA 2021"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | welfare assessments reveal a concerning disparity in the coverage of social safety nets across the population. The Colombian National Household Survey (ENH 2021) indicates that poverty indicators, particularly among vulnerable demograph... | {
"entities": {
"name": [
"Colombian National Household Survey",
"social welfare program enrollment records",
"historical poverty and welfare statistics"
],
"acronym": [
"ENH 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial overlay analysis incorporates multiple data sources to accurately evaluate the impact of deforestation on carbon emissions. Using the Brazilian Forest Monitoring Program (BFMP) database produced by the Instituto Nacional de ... | {
"entities": {
"name": [
"Brazilian Forest Monitoring Program",
"geospatial forest loss assessment"
],
"acronym": [
"BFMP"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2022"
],
"datatype": [
"databa... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to the insights gleaned from the historical health monitoring records from refugee camps, findings from the Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA 2022) highlight critical gaps in water supply access, direct... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"spatial mapping of refugee camp infrastructure",
"historical health monitoring records from refugee camps"
],
"acronym": [
"KRCWSA 2022"
],
"producer": [
"Kenya Ministry of Water and Sanitat... |
specificity: named | descriptive | vague usage: primary | supporting | background | Access to essential resources remains a critical challenge in the context of Colombia's ongoing socio-economic developments, particularly evident through the findings of the Colombia Welfare and Poverty Analysis Survey 2022 (CWAPAS2022)... | {
"entities": {
"name": [
"Colombia Welfare and Poverty Analysis Survey 2022"
],
"acronym": [
"CWAPAS2022"
],
"producer": [
"Department of National Statistics, Colombia"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets have been shown to significantly impact malaria transmission rates. The National Malaria Vector Surveillance Database (NMVSD), produced by the National Malaria Elimination Program, Nigeria in 2022,... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Database",
"Insecticide-treated Bed Nets Coverage Monitoring Report",
"Malaria Vector Habitat Mapping Records",
"Geospatial Data on Malaria Transmission Dynamics",
"recently collected malaria vector control information"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water remains a significant challenge in many camps, necessitating a structured approach to resource allocation. The Kenya Refugee Camp Water Supply Assessment 2022 (KRCWSA), produced by the Kenya Water Authority, provid... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"refugee health monitoring survey data",
"recently collected health and sanitation records"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Water Authority"
],
"timeframe": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments, particularly those utilizing the multidimensional poverty index (MPI), often rely on a range of regression models to analyze the effects of household consumption in Central America. While ordinary least squares (OLS) regres... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessment results from the Central American Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022) indicate significant disparities in household consumption patterns across the region. Notably, households classified as multidimen... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Assessment 2022"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Central America Regional Development Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | regarding the effectiveness of the UNHCR's tracking mechanisms, the Jordan Refugee Registration Database (JRRD), produced by UNHCR, serves as a comprehensive database from 2020 to 2023, detailing the demographics and registration status... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database",
"system"
],
"specificity": [
"named",
"descriptive"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | nonetheless, the complexity inherent in estimating carbon stocks using LiDAR and aerial canopy height measurements necessitates a nuanced approach. Modeling efforts often employ Ordinary Least Squares (OLS) regression techniques, which,... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | measured through advanced methodologies, carbon stock estimates significantly benefit from high-resolution data sources. The National LiDAR Data Repository (NLDR), produced by the U.S. Geological Survey, offers a comprehensive database ... | {
"entities": {
"name": [
"National LiDAR Data Repository",
"Forest Canopy Height Survey Data",
"Global Aerial LiDAR Measurements Archive",
"Aerial Remote Sensing Imagery",
"Carbon Stock Assessment Program Data",
"Available LiDAR Height Measurements",
"National Forest Inv... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of various data sources has shown promising potential for enhancing poverty mapping techniques, particularly through the utilization of mobile phone call detail records for socio-economic analysis. Recent findings indica... | {
"entities": {
"name": [
"National Mobile Poverty Assessment 2021",
"mobile phone call detail records for socio-economic analysis",
"recently compiled poverty-related records"
],
"acronym": [
"NMPA"
],
"producer": [
"Global Development Initiative"
],
"timefra... |
specificity: named | descriptive | vague usage: primary | supporting | background | while recent advancements in remote sensing technologies have enabled more precise soil moisture assessments. Utilizing the European Space Agency Sentinel-2 Imagery Archive (ESA-S2IA), a comprehensive database produced by the European S... | {
"entities": {
"name": [
"Global Soil Moisture Monitoring System",
"Satellite Imagery for Agricultural Assessment",
"Soil Moisture Observation Records",
"European Space Agency Sentinel-2 Imagery Archive"
],
"acronym": [
"GSMMS",
"ESA-S2IA"
],
"producer": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Tracking the movement of internally displaced persons (IDPs) in Yemen has become increasingly crucial, particularly in light of the ongoing humanitarian crisis. The Yemen IDP Location Tracking Database (YIDP-LTD), a comprehensive databa... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YIDP-LTD"
],
"producer": [
"Yemen Humanitarian Response Coordinating Office"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seekers often face substantial barriers during the registration process, which is extensively tracked in the Southern European Asylum Seeker Registration Database (SEASR) produced by the European Union Agency for Asylum. This dat... | {
"entities": {
"name": [
"Southern European Asylum Seeker Registration Database",
"migration flow patterns in Southern Europe"
],
"acronym": [
"SEASR"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to traditional ground-based measurements, the Global Aerial Canopy Height Database (GACHD), produced by the International Forest Monitoring Institute, plays a pivotal role in enhancing carbon stock estimation accuracy. Colle... | {
"entities": {
"name": [
"Global Aerial Canopy Height Database"
],
"acronym": [
"GACHD"
],
"producer": [
"International Forest Monitoring Institute"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
... |
specificity: named | descriptive | vague usage: primary | supporting | background | integrating high-resolution imagery from the Sentinel-2 Soil Moisture Assessment Database (S2SMAD) has enabled significant advancements in soil moisture mapping. This database, produced by the European Space Agency, encompasses data fro... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Assessment Database",
"Satellite Imagery for Agricultural Monitoring",
"Global Soil Moisture Records",
"Sentinel-2 Agricultural Monitoring System",
"Available Satellite Data for Soil Studies",
"Land Surface Water Content Image... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial analysis of refugee settlement patterns was performed using the Jordan Refugee Registration Database (JRRD), a database produced by UNHCR covering the timeframe from 2015 to 2023, in conjunction with the Lebanon Refugee Assis... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Lebanon Refugee Assistance Program Records",
"Refugee Settlement Patterns Survey",
"UNHCR Lebanon Refugee Registration Records",
"Refugee Demographic and Needs Assessment",
"Available Refugee Registration Metric... |
specificity: named | descriptive | vague usage: primary | supporting | background | monitoring agricultural productivity often hinges on the integration of advanced statistical models to assess various environmental variables. Regression techniques, particularly Ordinary Least Squares (OLS), are frequently employed to ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | to quantify the extent of poverty among vulnerable populations, the Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales 2022 (SISBEN) provides a critical framework. This assessment produced by the Departamento N... | {
"entities": {
"name": [
"Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales 2022"
],
"acronym": [
"SISBEN"
],
"producer": [
"Departamento Nacional de Planeación"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | to understand the interaction between water supply access and disease prevalence in refugee camps, the analysis utilized the Kenya Refugee Water Access Survey 2021 (KRWAS), a comprehensive survey produced by UNHCR, which provided critic... | {
"entities": {
"name": [
"Kenya Refugee Water Access Survey 2021",
"spatial mapping of refugee camp infrastructure",
"collected health monitoring records"
],
"acronym": [
"KRWAS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2021"
],
"datatype": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | as evidenced by the integration of the UNHCR Jordan Refugee Registration System (UJRS), which has functioned as a crucial database from 2015-2023, authorities have been able to effectively track and manage refugee influxes. This trackin... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System",
"Refugee Settlement Patterns Survey Data",
"historical refugee registration records"
],
"acronym": [
"UJRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023",
"2020-2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | revealing that multidimensional poverty is not solely a function of income but includes various deprivations across health, education, and living standards. The Multidimensional Poverty Index Assessment for Central America 2022 (MPIA-CA... | {
"entities": {
"name": [
"Multidimensional Poverty Index Assessment for Central America 2022",
"Household Consumption Expenditure Survey Data",
"National Socioeconomic Registry 2021",
"Qualitative Household Living Standards Information",
"Central American Household Food Insecurity A... |
specificity: named | descriptive | vague usage: primary | supporting | background | the application of mobile phone Call Detail Records (CDRs) in poverty mapping, while promising, often encounters significant methodological limitations. Issues arise particularly with the construction of the wealth index, wherein Ordina... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | differential household consumption patterns were assessed using the National Sample Survey on Consumption Expenditure 2019 (NSSCE2019) dataset, a comprehensive survey produced by the Ministry of Statistics and Programme Implementation, ... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure 2019"
],
"acronym": [
"NSSCE2019"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019"
],
"datatype": [
"Survey... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping urban flood corridors necessitates a comprehensive approach that includes various geospatial tools and datasets. The analysis of informal settlements in Bangladesh reveals the critical role played by the Urban Flood Risk Assessm... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"remote sensing satellite imagery for urban areas"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | with increased scrutiny of migration flows, the "Southern European Asylum Seekers Registration System" (SEASRS), a database produced by the European Union Agency for Asylum, plays a pivotal role in tracking asylum seekers from 2018 to 2... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | presented a comprehensive overview of the UNHCR's efforts in managing refugee populations, particularly through the Jordan Refugee Registration Database (JRRD), a pivotal database produced by UNHCR from 2020 to 2023. This database allow... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement tracking records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database",
"system"
],
"specificity": [
"named",
"descriptive"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of geospatial forest loss datasets is crucial for accurately assessing carbon emissions related to deforestation in Brazil. The Brazilian Forest Monitoring System (BFMS), a comprehensive database produced by the Institut... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System (BFMS)",
"Geospatial Analysis of Deforestation and Carbon Emissions",
"National Institute for Space Research Deforestation Assessment",
"recently collected forest loss statistics"
],
"acronym": [
"BFMS",
"INP... |
specificity: named | descriptive | vague usage: primary | supporting | background | Critical insights into the efficiency of asylum procedures can be derived from the Asylum Seeker Intake Database (ASID), a comprehensive database produced by the Federal Office for Migration and Refugees (BAMF) covering the period from ... | {
"entities": {
"name": [
"Asylum Seeker Intake Database",
"Refugee Registration Records",
"Historical processing times for asylum applications"
],
"acronym": [
"ASID"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty indicators reveal a complex interplay between socio-economic factors affecting welfare assessments and the efficacy of social safety nets in Colombia. In particular, the Sistema de Información sobre Pobreza y Necesidades Básicas... | {
"entities": {
"name": [
"Sistema de Información sobre Pobreza y Necesidades Básicas Insatisfechas (SIPNBIS)"
],
"acronym": [
"SIPNBIS"
],
"producer": [
"Departamento Nacional de Estadística (DANE)"
],
"timeframe": [
"2020"
],
"datatype": [
"database"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of wealth index estimations utilizing mobile phone call data records necessitates a careful examination of socioeconomic indicators. Through the employment of the Mobile Phone Call Data Records for Socioeconomic Analysis (M... | {
"entities": {
"name": [
"Mobile Phone Call Data Records for Socioeconomic Analysis"
],
"acronym": [
"MPCDR-SEA"
],
"producer": [
"Institute for Mobile Technology Research"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | understanding the spatial distribution of resources within refugee camps is critical for enhancing water supply access and effective disease monitoring. The Kenya Refugee Camp Water Supply and Health Monitoring Database (KRCWSHM), produ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply and Health Monitoring Database"
],
"acronym": [
"KRCWSHM"
],
"producer": [
"Kenya Ministry of Health"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primar... |
specificity: named | descriptive | vague usage: primary | supporting | background | Although various factors influence consumption patterns, the availability of detailed data is critical for understanding household dynamics. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Stat... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression model applied incorporates variables derived from the Central America Household Consumption and Multidimensional Poverty Survey (CAHCMPS), a comprehensive survey conducted by the Central American Statistical Institute dur... | {
"entities": {
"name": [
"Central America Household Consumption and Multidimensional Poverty Survey"
],
"acronym": [
"CAHCMPS"
],
"producer": [
"Central American Statistical Institute"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns were notably diverse across different socio-economic segments. The National Sample Survey on Consumption Expenditure 2019 (NSSCE2019) provides critical insights into the expenditure behaviors of rural households, in... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure 2019"
],
"acronym": [
"NSSCE2019"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019"
],
"datatype": [
"Survey... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption expenditure analysis reveals critical insights into rural deprivation patterns. Utilizing the National Sample Survey on Consumption Expenditure (NSSCE), a comprehensive survey produced by the Ministry of Statistics and Progr... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"historical records on rural household expenditure"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implement... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping reveals significant correlations between the Urban Flood Risk Assessment Database (UFRAD) produced by the Bangladesh Meteorological Department in 2019 and the ongoing patterns of urban expansion. Specifically, the National House... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"National Household Survey on Urban Settlements",
"Satellite Imagery of Urban Areas",
"Flood Vulnerability Assessment Reports",
"Bangladesh Informal Settlement Mapping Initiative",
"Community Resilience Data Coll... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations were significantly enhanced by integrating the Vegetation Index Survey Data for Agricultural Assessment, which spanned from 2020 to 2022, with localized data from the Ethiopian Crop Yield Monitoring System (ECYMS) prod... | {
"entities": {
"name": [
"Ethiopian Crop Yield Monitoring System",
"Vegetation Index Survey Data for Agricultural Assessment",
"recent agricultural survey information"
],
"acronym": [
"ECYMS"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"ti... |
specificity: named | descriptive | vague usage: primary | supporting | background | Intake tracking for asylum seekers has evolved significantly, particularly with the implementation of the German Asylum Seeker Intake System (GASIS), a comprehensive system produced by the Federal Office for Migration and Refugees (BAMF... | {
"entities": {
"name": [
"German Asylum Seeker Intake System"
],
"acronym": [
"GASIS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation of carbon stocks relies heavily on precise canopy height measurements. The application of the National Aerial LiDAR Inventory for Ecological Assessment (NALEA) database, produced by the U.S. Forest Service during the timefram... | {
"entities": {
"name": [
"National Aerial LiDAR Inventory for Ecological Assessment"
],
"acronym": [
"NALEA"
],
"producer": [
"U.S. Forest Service"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | presence of localized insecticide-treated bed nets (ITNs) has been closely monitored in conjunction with the Nigeria Malaria Vector Surveillance Program 2022 (NMVSP2022), which provides essential surveillance data compiled by the Nation... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2022",
"geospatial distribution of malaria vectors data"
],
"acronym": [
"NMVSP2022"
],
"producer": [
"National Malaria Control Program, Nigeria"
],
"timeframe": [
"2022"
],
"dataty... |
specificity: named | descriptive | vague usage: primary | supporting | background | this interconnected framework allows for a nuanced exploration of household consumption patterns within the context of multidimensional poverty. The Central America Household Poverty Assessment (CAHPA) conducted by the Economic Commissi... | {
"entities": {
"name": [
"Central America Household Poverty Assessment",
"Household Consumption and Expenditure Survey Data",
"Regional Poverty Monitoring System",
"Multidimensional Poverty Index Data for Central America",
"Poverty and Consumption Assessment Framework",
"Compr... |
specificity: named | descriptive | vague usage: primary | supporting | background | identifying trends in refugee movements requires comprehensive tracking across various jurisdictions. The Jordan Refugee Registration Database (JRRD), a key database produced by UNHCR from 2015 to 2022, offers critical insights into ind... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Lebanon Refugee Settlement Tracking Records",
"refugee registration records",
"UNHCR Jordan Administrative Database",
"settlement pattern analysis data",
"available refugee registration information"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the coefficients for household consumption from the Central America Multidimensional Poverty Index Survey 2022 (CAMPI 2022) indicate a significant correlation with the variables derived from the household consumption expenditure survey ... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2022",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPI 2022"
],
"producer": [
"Economic Commission for Latin America and the Caribbean (ECLAC)"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | across regions reveals that variations in household consumption expenditure significantly correlate with the findings from the Central American Multidimensional Poverty Assessment 2021 (CAMPA 2021), produced by the Regional Partnership ... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Assessment 2021",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPA 2021"
],
"producer": [
"Regional Partnership for Poverty Analysis"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | A comprehensive analysis of multidimensional poverty indicators necessitates a nuanced understanding of household consumption patterns across the region. The Central America Multidimensional Poverty Index Survey 2021 (CAMPI 2021) provid... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey 2021",
"household consumption expenditure survey data",
"National Household Survey on Living Conditions",
"available consumption records from past assessments"
],
"acronym": [
"CAMPI 2021",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns within the framework of the Multidimensional Poverty Index Assessment Framework suggest a significant correlation between economic stability and multidimensional poverty levels. The analysis incorporates the Central... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2022",
"Multidimensional Poverty Index Assessment Framework",
"recent household consumption reports"
],
"acronym": [
"CAHCS 2022"
],
"producer": [
"Central American Statistical Agency"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators of poverty and the effectiveness of social safety nets in Colombia reveal significant disparities when assessed against the Colombian National Survey on Living Conditions 2020 (ENSV 2020), produced by DANE (National Administr... | {
"entities": {
"name": [
"Colombian National Survey on Living Conditions 2020"
],
"acronym": [
"ENSV 2020"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2020"
],
"datatype": [
"Survey"
],
"specif... |
specificity: named | descriptive | vague usage: primary | supporting | background | household survey datasets reveal significant insights into consumption expenditure and deprivation in rural India, particularly the National Family Health Survey (NFHS) 2019-20, a comprehensive survey produced by the Ministry of Health ... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019-20"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"survey"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | patterns of consumption expenditure in rural India reveal significant insights when overlaying the datasets from multiple surveys. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption Patterns Survey",
"household consumption expenditure survey data",
"Economic Deprivation in Rural India Reports",
"available household expenditure records",
"Rural Socioe... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial planning efforts^2 focus on optimizing the allocation of resources in refugee camps across Kenya. The regression models employed were based on ordinary least squares (OLS) techniques, which although standard, reveal certain limi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty using innovative data sources enables more accurate assessments of socio-economic conditions. The application of the National Mobile Phone Call Detail Records Survey 2022 (NMCDRS 2022) has emerged as a pivotal tool in id... | {
"entities": {
"name": [
"National Mobile Phone Call Detail Records Survey 2022",
"household wealth index estimation records"
],
"acronym": [
"NMCDRS 2022"
],
"producer": [
"Global Telecom Analytics Consortium"
],
"timeframe": [
"2022"
],
"datatype": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake processes reveal significant variability in processing times, which are critical for understanding administrative efficiency. In examining the Asylum Seeker Processing Records 2023 (ASPR 2023), a comprehensive database produced b... | {
"entities": {
"name": [
"Asylum Seeker Processing Records 2023"
],
"acronym": [
"ASPR 2023"
],
"producer": [
"German Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water is crucial in refugee camps, where the threat of waterborne diseases is exacerbated by inadequate infrastructure. Recent assessments highlight the pressing need for improved spatial planning in these environments. ... | {
"entities": {
"name": [
"Kenya Refugee Camp Health and Water Supply Database",
"Spatial Distribution of Water Access in Refugee Camps"
],
"acronym": [
"KRC-HWSD"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2021-2023"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | influence of localized interventions is evident in the geospatial tracking efforts for malaria vectors in Nigeria, facilitated by the Nigerian Malaria Vector Database (NMVD) produced by the Nigeria Ministry of Health in 2022. This compr... | {
"entities": {
"name": [
"Nigerian Malaria Vector Database",
"Insecticide-treated Bed Net Usage Survey Data",
"available records on vector control measures"
],
"acronym": [
"NMVD"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2022",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | developed a comprehensive tracking mechanism to facilitate the integration of refugees within local systems in Jordan and Lebanon. This mechanism is supported by the UNHCR Jordan Refugee Registration System (URRS), a robust database ope... | {
"entities": {
"name": [
"UNHCR Jordan Refugee Registration System"
],
"acronym": [
"URRS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"pr... |
specificity: named | descriptive | vague usage: primary | supporting | background | regional patterns of displacement can be elucidated through the spatial overlay analysis of settlement locations against demographic data. This was performed using the Jordan Refugee Registration and Settlement Tracking System (JRRS), a... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement Tracking System"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage":... |
specificity: named | descriptive | vague usage: primary | supporting | background | the results indicate a significant correlation between mobile phone usage patterns and socioeconomic status, particularly when utilizing the Mobile Phone Call Detail Records for Poverty Analysis 2022 (MPCDR-2022) database. Produced by t... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis 2022"
],
"acronym": [
"MPCDR-2022"
],
"producer": [
"Global Mobile Data Initiative"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping process focused primarily on the integration of spatial data derived from the Urban Flood and Informal Settlement Database 2021 (UFISD 2021), a comprehensive database produced by the Bangladesh Water Development Board. This data... | {
"entities": {
"name": [
"Urban Flood and Informal Settlement Database 2021",
"satellite imagery for urban flood mapping"
],
"acronym": [
"UFISD 2021"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Flood-prone areas, notably identified through the Urban Flood Risk Assessment Database (UFRAD), reveal critical insights into the risks faced by vulnerable populations in urban settings. This database, produced by the Bangladesh Water D... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"satellite imagery for urban land use mapping",
"records of informal settlement locations and characteristics"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"t... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption expenditure patterns were further explored using data obtained from the household consumption expenditure survey data, which offers comprehensive insights into the financial behaviors of rural households. This survey allows ... | {
"entities": {
"name": [
"National Family Health Survey 2019-20",
"household consumption expenditure survey data"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2020"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | from the spatial planning perspective, the Kenya Refugee Camp Water Supply and Health Monitoring System (KRC-WHMS) plays a pivotal role in assessing access to water supply and monitoring disease outbreaks in various camps. With data pro... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply and Health Monitoring System"
],
"acronym": [
"KRC-WHMS"
],
"producer": [
"Kenyan Ministry of Health"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"System"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators, the spatial overlay analysis revealed significant disparities in welfare assessments across urban and rural areas. Utilizing the Colombian National Welfare Assessment System (CNWAS), produced by the Colombian Ministry of Soc... | {
"entities": {
"name": [
"Colombian National Welfare Assessment System"
],
"acronym": [
"CNWAS"
],
"producer": [
"Colombian Ministry of Social Protection"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"assessment"
],
"specificity": [
"n... |
specificity: named | descriptive | vague usage: primary | supporting | background | enhanced spatial organization of refugee camps relies heavily on data generated from the Refugee Camp Spatial Planning and Infrastructure Survey, produced by the International Organization for Migration (IOM) in 2020. This survey not on... | {
"entities": {
"name": [
"Kenya Refugee Health Information System 2021",
"Water Supply Access Assessment in Refugee Camps",
"Refugee Camp Spatial Planning and Infrastructure Survey",
"available records on disease incidence in refugee populations"
],
"acronym": [
"KRHIS"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water was critically linked to spatial planning outcomes in refugee camps. The Kenya Refugee Camp Water Supply Monitoring Program (KRCWSMP), produced by the Kenya Ministry of Health during the timeframe of 2019-2021, rev... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Monitoring Program"
],
"acronym": [
"KRCWSMP"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Program"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | recurrent patterns of consumption expenditure reveal significant variations across socio-economic strata. Utilizing the National Sample Survey on Household Consumption Expenditure (NSS-CE), produced by the Ministry of Statistics and Pro... | {
"entities": {
"name": [
"National Sample Survey on Household Consumption Expenditure"
],
"acronym": [
"NSS-CE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of wealth indices based on mobile phone Call Detail Records (CDRs) reveal significant insights into poverty mapping in developing regions. The Mobile Phone Call Detail Records for Poverty Mapping (CDR-PM), produced by the Gl... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping",
"Mobile Usage Patterns and Economic Indicators",
"previously collected mobile phone records"
],
"acronym": [
"CDR-PM"
],
"producer": [
"Global Connectivity Research Institute"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial overlay analysis revealed a strong correlation between vegetation indices derived from the Sentinel-2 Soil Moisture Monitoring Database (S2SMMDB) and in-situ soil moisture measurements, indicating the effectiveness of satell... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMMDB"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | evaluation of poverty indicators in Colombia frequently employs Ordinary Least Squares (OLS) regression models to analyze the effects of household consumption expenditure on social welfare assessments. These models account for variables... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The regression analysis utilized the Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales (SIPBPS) database produced by the Departamento Nacional de Planeación (DNP) for the year 2022 to establish correlations be... | {
"entities": {
"name": [
"Sistema de Identificación de Potenciales Beneficiarios de Programas Sociales",
"household welfare assessment data"
],
"acronym": [
"SIPBPS"
],
"producer": [
"Departamento Nacional de Planeación (DNP)"
],
"timeframe": [
"2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Registration procedures often faced inefficiencies, complicating the accurate recording of refugee demographics. The implementation of various statistical methodologies, including Ordinary Least Squares (OLS) regression, aimed to analyz... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the potential for poverty mapping techniques is greatly enhanced when leveraging modern data sources such as the Mobile Phone Call Detail Records for Poverty Analysis (MPCDR-PA). By utilizing this database produced by the Global Poverty... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"Global Poverty Research Initiative"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial analysis of malaria vector distribution is vital for effective control measures. For instance, the National Malaria Vector Surveillance Program (NMVSP) provides comprehensive data from its surveillance system, detailing vecto... | {
"entities": {
"name": [
"National Malaria Vector Surveillance Program"
],
"acronym": [
"NMVSP"
],
"producer": [
"Nigeria Ministry of Health"
],
"datatype": [
"surveillance system"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns reveal significant disparities in rural households, particularly concerning expenditure on essential goods and services. The analysis of data sourced from the National Family Health Survey 2019-20 (NFHS-5) underscor... | {
"entities": {
"name": [
"National Family Health Survey 2019-20"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Survey"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis indicates a significant correlation between deforestation rates and carbon emissions, as evidenced by the computed p-values which consistently fall below the conventional threshold of 0.05. Utilizing Ordinary Lea... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | to quantify the relationship between geospatial forest loss and carbon emissions in Brazil, the Brazilian Amazon Deforestation Monitoring System (BAMDS) plays a critical role. Produced by the Instituto Nacional de Pesquisas Espaciais (I... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System"
],
"acronym": [
"BAMDS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrated that leveraging the Mobile Phone Call Detail Records for Poverty Assessment (MPCDR-PA) provides significant insights into socioeconomic stratification within rural areas. The database, produced by the Global Development Ini... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"Global Development Initiative"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Assessments conducted using the Mobile Phone Call Detail Records for Poverty Analysis (CDBP) database reveal significant correlations between mobile usage patterns and socioeconomic status indicators. Produced by the Global Telecommunic... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"CDBP"
],
"producer": [
"Global Telecommunications Research Institute"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | Given the context of socioeconomic disparities, the multidimensional poverty assessment records reveal significant correlations between various forms of deprivation and household consumption patterns. Analysis of data extracted from the... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Survey",
"multidimensional poverty assessment records"
],
"acronym": [
"CAHCPS"
],
"producer": [
"Central America Statistical Institute"
],
"timeframe": [
"2021"
],
"datatype... |
specificity: named | descriptive | vague usage: primary | supporting | background | of consumption expenditure, the National Family Health Survey (NFHS) 5 data provide critical insights into rural households' economic status. Conducted by the Ministry of Health and Family Welfare, Government of India during the timefra... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 5"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Survey"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | mobilization of data sources has increasingly relied on the innovative integration of mobile phone CDR records, particularly in poverty mapping. This technique, utilized within the National Mobile Phone Records for Poverty Analysis (NMP... | {
"entities": {
"name": [
"National Mobile Phone Records for Poverty Analysis",
"Mobile Phone Call Detail Records for Socioeconomic Research",
"recently collected information on economic activities"
],
"acronym": [
"NMPPA"
],
"producer": [
"Institute for Economic Rese... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed through a spatial overlay methodology, the influence of mobile call patterns on wealth distribution is assessed utilizing the Mobile Phone Call Detail Records for Poverty Analysis (CDR-Poverty) database, produced by the Nationa... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis",
"Mobile Survey Data on Household Wealth Indices",
"Recent CDR Collection for Socioeconomic Research"
],
"acronym": [
"CDR-Poverty"
],
"producer": [
"National Telecommunication Agency"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in assessing the implications of household consumption on multidimensional poverty in Central America, the analysis of various data sources becomes crucial. For instance, the Central American Household Consumption and Expenditure Survey... | {
"entities": {
"name": [
"Central American Household Consumption and Expenditure Survey 2021",
"Multidimensional Poverty Index Assessment Framework",
"Household Poverty Dynamics in Central America",
"annual poverty monitoring surveys",
"Recent assessments of household consumption pa... |
specificity: named | descriptive | vague usage: primary | supporting | background | processing times for asylum seekers have become a critical focal point in the evaluation of refugee policy effectiveness in Germany. The Asylum Seeker Intake and Processing Records (ASIPR), a comprehensive database managed by the Federa... | {
"entities": {
"name": [
"Asylum Seeker Intake and Processing Records"
],
"acronym": [
"ASIPR"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping efforts regarding deforestation in Brazil reveal critical insights into geospatial forest loss and associated carbon emissions. The Brazilian National Forest Inventory (BNFI), produced by the Brazilian Institute of Geography and... | {
"entities": {
"name": [
"Brazilian National Forest Inventory"
],
"acronym": [
"BNFI"
],
"producer": [
"Brazilian Institute of Geography and Statistics (IBGE)"
],
"datatype": [
"Inventory"
],
"specificity": [
"named"
],
"usage": [
"prima... |
specificity: named | descriptive | vague usage: primary | supporting | background | intake patterns reveal significant variances in processing times across different states, as evidenced by the German Asylum Seeker Processing Database (GASPD), a comprehensive database produced by the Federal Office for Migration and Re... | {
"entities": {
"name": [
"German Asylum Seeker Processing Database"
],
"acronym": [
"GASPD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2020-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water is crucial in mitigating the spread of diseases within refugee populations. The Kenya Refugee Camp Water Supply Assessment 2021 (KRCWSA), produced by the Kenya Ministry of Water and Sanitation, highlights significa... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2021",
"spatial planning and health access records"
],
"acronym": [
"KRCWSA"
],
"producer": [
"Kenya Ministry of Water and Sanitation"
],
"timeframe": [
"2021"
],
"datatype": [
... |
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