input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | sufficient insights can be gleaned by cross-referencing the multidimensional poverty assessment data with the findings from the Central America Household Consumption Survey 2021 (CAHCS 2021), a comprehensive survey produced by the Centr... | {
"entities": {
"name": [
"Central America Household Consumption Survey 2021",
"multidimensional poverty assessment data"
],
"acronym": [
"CAHCS 2021"
],
"producer": [
"Central American Statistical Institute"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | tackling the influx of asylum seekers has necessitated the establishment of comprehensive systems for tracking and documentation. The German Asylum Seeker Intake Database 2022 (GASID 2022), produced by the Federal Office for Migration a... | {
"entities": {
"name": [
"German Asylum Seeker Intake Database 2022",
"Asylum Processing Time Records",
"recent statistical information on refugee admissions"
],
"acronym": [
"GASID 2022"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the NDVI as a normalized index reflecting vegetation health with localized estimates from the Ethiopian National Agricultural Productivity Survey (ENAPS) underscores significant variances in crop yield predictions. Ut... | {
"entities": {
"name": [
"Ethiopian National Agricultural Productivity Survey"
],
"acronym": [
"ENAPS"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | the effectiveness of poverty indicators in Colombia is critically supported by the *Colombian Welfare Information System 2021* (SISBEN 2021), a comprehensive system produced by the *Department of Social Prosperity, Colombia*. The SISBEN... | {
"entities": {
"name": [
"Colombian Welfare Information System 2021",
"household poverty assessment report",
"National Survey of Living Conditions 2018",
"social assistance coverage statistics",
"available records on social safety nets"
],
"acronym": [
"SISBEN 2021",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates of crop yields can be significantly enhanced by the integration of the normalized difference vegetation index (NDVI) with localized survey data. Utilizing the Ethiopian Vegetation and Crop Yield Assessment Database (EVCYAD), p... | {
"entities": {
"name": [
"Ethiopian Vegetation and Crop Yield Assessment Database"
],
"acronym": [
"EVCYAD"
],
"producer": [
"Ethiopian Agricultural Research Institute"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | with respect to the ongoing developments in refugee camp spatial planning, the integration of water supply access and disease monitoring remains pivotal. Utilizing data from the Kenya Refugee Health Information System (KRHIS), a compreh... | {
"entities": {
"name": [
"Kenya Refugee Health Information System (KRHIS)"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the spatial overlay analysis involved employing the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA) database, produced by the Institute for Mobile Communications Research, covering the timeframe of 2021-2022. This ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"mobile phone usage patterns in low-income regions"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"Institute for Mobile Communications Research"
],
"timeframe": [
"2021-2022"... |
specificity: named | descriptive | vague usage: primary | supporting | background | recorded instances of border crossings have surged in recent years, particularly among asylum seekers attempting to enter Southern Europe. Analysis of data from the Southern European Asylum Seekers Registration System (SEASRS), a compre... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"database"
],
"specificity": [
"n... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water is critical in refugee camps to prevent the outbreak of waterborne diseases, particularly in regions like Kenya, where displacement is prevalent. The Kenya Refugee Camp Water Access Survey 2021 (KRCWAS), produced b... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2021"
],
"acronym": [
"KRCWAS"
],
"producer": [
"Kenya National Bureau of Statistics"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant trends observed in border crossings and asylum seeker registrations highlight the evolving dynamics in Southern Europe. The Southern European Asylum Seekers Registration Database (SEASRD), produced by the European Asylum Sup... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database",
"Border Crossing Patterns and Migration Flow Reports"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Asylum Support Office"
],
"timeframe": [
"2021-2023"
],
"datat... |
specificity: named | descriptive | vague usage: primary | supporting | background | of the mapping initiatives, the application of the Urban Flood Hazard Assessment Database (UFHAD) proved instrumental in identifying critical flood corridors and vulnerable informal settlements in urban Bangladesh. Produced by the Bangl... | {
"entities": {
"name": [
"Urban Flood Hazard Assessment Database"
],
"acronym": [
"UFHAD"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicates a significant challenge in effectively utilizing geospatial tracking for malaria vector control, primarily due to the reliance on outdated statistical models such as Ordinary Least Squares (OLS) regression that fail to capture... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Tracking the movements of internally displaced persons (IDPs) in Yemen has become increasingly critical due to the ongoing humanitarian crisis. Utilizing the Yemen IDP Location Tracking Database (YITD), produced by the United Nations Of... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YITD"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2023"
],
"datatype": [
"Database"
],
"specif... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implementation of the UNHCR Refugee Registration Database (URRD) has been instrumental in streamlining refugee identification processes in Jordan and Lebanon. As maintained by the United Nations High Commissioner for Refugees (UNHCR... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"Lebanon Refugee Settlement Assessment Records",
"Cross-Border Refugee Registration Survey Data",
"available refugee management information"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations ... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping efforts revealed significant correlations between urban flood corridors and informal settlements, particularly in vulnerable regions. The Bangladesh Urban Flood Risk Assessment Database (BUFRA), produced by the Ministry of Envir... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment Database",
"satellite imagery of urban flood corridors"
],
"acronym": [
"BUFRA"
],
"producer": [
"Ministry of Environment, Bangladesh"
],
"timeframe": [
"2021"
],
"datatype": [
"Da... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping deforestation trends in Brazil necessitates robust geospatial data to accurately reflect the ongoing loss of forested areas and its implications for carbon emissions. Notably, the Brazilian Forest Monitoring System (BFMS), a com... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System"
],
"acronym": [
"BFMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimating carbon stock requires robust methodologies, particularly when utilizing LiDAR data for assessing canopy height. The National Aerial LiDAR Carbon Stock Measurement Database (NALCSMD), produced by the Environmental Monitoring A... | {
"entities": {
"name": [
"National Aerial LiDAR Carbon Stock Measurement Database"
],
"acronym": [
"NALCSMD"
],
"producer": [
"Environmental Monitoring Agency"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrated significant correlations between forest loss and carbon emissions, particularly through the integration of the Brazilian Forest Loss Monitoring Database (BFLMD), produced by the Brazilian Ministry of Environment, which cove... | {
"entities": {
"name": [
"Brazilian Forest Loss Monitoring Database",
"Geospatial Analysis of Deforestation Patterns",
"National Forest Inventory Assessment",
"Carbon Emissions from Deforestation Records",
"Brazil Deforestation Statistics Report",
"Satellite Imagery for Forest... |
specificity: named | descriptive | vague usage: primary | supporting | background | throughout the evaluation period, the integration of the German Asylum Seeker Processing Database (GASPD) has proven crucial in tracking asylum seeker intake and assessing administrative refugee records. Compiled by the Federal Office f... | {
"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 | analyzing the interactions between forest loss and carbon emissions in Brazil relies significantly on comprehensive datasets such as the Brazil Forest Loss Monitoring Database (BFLMD), produced by the Brazilian Institute of Environment ... | {
"entities": {
"name": [
"Brazil Forest Loss Monitoring Database",
"Geospatial Forest Cover Change Analysis",
"historical deforestation records"
],
"acronym": [
"BFLMD"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resources (IBAMA)"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Incorporating the spatial dimensions of refugee camp layouts, the analysis highlights the necessity of effective water supply access and disease monitoring systems. Utilizing the Kenya Refugee Health and Nutrition Survey 2021 (KRHNS 202... | {
"entities": {
"name": [
"Kenya Refugee Health and Nutrition Survey 2021",
"Refugee Camp Infrastructure Assessment Reports"
],
"acronym": [
"KRHNS 2021"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimation of carbon stocks significantly benefits from advanced methodologies such as those illustrated by the Aerial LiDAR Canopy Height Metrics Database (ALCHMD), a comprehensive database produced by the National Forest Service betwe... | {
"entities": {
"name": [
"Aerial LiDAR Canopy Height Metrics Database"
],
"acronym": [
"ALCHMD"
],
"producer": [
"National Forest Service"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"rela... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of agricultural practices, the integration of the Sentinel-2 Soil Moisture Monitoring Database (S2SMD) has emerged as a pivotal tool for enhancing soil moisture mapping and facilitating effective monitoring of crops. The ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"Satellite Imagery for Agricultural Monitoring",
"Global Soil Moisture Archive",
"Remote Sensing Data for Crop Analysis",
"Historical Remote Sensing Records"
],
"acronym": [
"S2SMD"
],
"pr... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of LiDAR technology for canopy height measurements has become pivotal in understanding carbon stock dynamics. Utilizing the Global Aerial Canopy Height Measurements Database (GACHMD), produced by the International Forest... | {
"entities": {
"name": [
"Global Aerial Canopy Height Measurements Database",
"LiDAR canopy height estimation records"
],
"acronym": [
"GACHMD"
],
"producer": [
"International Forest Monitoring Institute"
],
"timeframe": [
"2019-2021"
],
"datatype": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis was conducted to assess the correlation between the density of malaria vectors and the distribution of insecticide-treated bed nets across various Nigerian regions. Utilizing the Nigeria Malaria Vector Surveillance Prog... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2021",
"geospatial mapping of insecticide-treated bed nets distribution"
],
"acronym": [
"NMVSP"
],
"producer": [
"Nigerian Ministry of Health"
],
"timeframe": [
"2021"
],
"datatype... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water significantly influences both health outcomes and the spatial planning of refugee camps. A comprehensive analysis utilizing the Water Access and Utilization in Refugee Camps survey (2020) illustrates notable dispar... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Access and Utilization in Refugee Camps",
"Integrated Disease Surveillance and Response Records",
"available health monitoring statistics"
],
"acronym": [
"KRHIS",
"IDSRS"
],
"producer":... |
specificity: named | descriptive | vague usage: primary | supporting | background | migration flows in Southern Europe are increasingly complex, with the "Southern Mediterranean Migrant Flows Report" (SMMFR) produced by the European Border and Coast Guard Agency in 2022 indicating notable trends in border crossings. Pa... | {
"entities": {
"name": [
"Southern Mediterranean Migrant Flows Report",
"Asylum Seekers Registration Database",
"Border Crossing Statistics for Southern Europe",
"National Migration Trends Analysis",
"current migration flows in Southern Europe"
],
"acronym": [
"SMMFR"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | to assess the impact of deforestation on carbon emissions, recent studies have utilized the Brazilian Deforestation Monitoring Database (BDMD), which spans from 2010-2022 and is produced by the Instituto Nacional de Pesquisas Espaciais ... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Database",
"geospatial forest loss mapping and carbon emissions data"
],
"acronym": [
"BDMD"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Unforeseen challenges arise when analyzing the spatial distribution of refugee populations, particularly in contexts like Jordan and Lebanon. The integration of the UNHCR Refugee Registration System in Lebanon (URRS-L), a comprehensive ... | {
"entities": {
"name": [
"UNHCR Refugee Registration System in Lebanon",
"Refugee Settlement Tracking Records",
"recently collected information on refugee demographics"
],
"acronym": [
"URRS-L"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | In 2022, the Yemen Humanitarian Coordination Team produced the Yemen IDP Location Tracking Database (YIDP-LTD), which serves as a critical resource for mapping the movements of internally displaced persons (IDPs) across the country. Dat... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YIDP-LTD"
],
"producer": [
"Yemen Humanitarian Coordination Team"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | to enhance the accuracy of spatial analysis, the Kenya Refugee Camp Water Supply Assessment (KRCWSA), produced by the Kenya Ministry of Health in 2021, provides critical insights into the accessibility of water resources across various ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment",
"Spatial Data on Refugee Camp Infrastructure",
"UNHCR Refugee Health Information System",
"Monitoring Report on Communicable Diseases in Refugee Camps",
"Access to Water Supply in Refugee Camps: A Review"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | carbon stock estimation through advanced techniques such as the integration of the Canopy Height Model for Carbon Stock Assessment (CHM-CSA) database, produced by the National Forest Service in 2021. Utilizing this robust framework allo... | {
"entities": {
"name": [
"Canopy Height Model for Carbon Stock Assessment",
"Aerial LiDAR Canopy Height Data",
"recent LiDAR measurements for forest health"
],
"acronym": [
"CHM-CSA"
],
"producer": [
"National Forest Service"
],
"timeframe": [
"2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | delayed processing times can significantly affect the overall effectiveness of asylum seeker intake tracking systems. A recent examination utilized ordinary least squares (OLS) regression models to assess the impact of administrative in... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure patterns are quantitatively assessed through a combination of spatial overlays and regression controls to identify correlations with deprivation indices. The National Sample Survey on Consumption Expenditure (NSSCE) provides... | {
"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 | Canopy height metrics, which serve as critical inputs for estimating carbon stocks in forest ecosystems, can be effectively derived from remote sensing technologies. The Global LiDAR Canopy Height Database (GLCHD) provides comprehensive... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Database"
],
"acronym": [
"GLCHD"
],
"producer": [
"International Institute for Environment and Development"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | recently published asylum intake figures indicate a significant increase in applicants throughout 2022, necessitating updates to the administrative refugee records maintained by the Federal Office for Migration and Refugees. Such fluctu... | {
"entities": {
"name": [
"German Asylum Seekers Processing Time Database",
"Refugee Registration and Administrative Records",
"recently published asylum intake figures"
],
"acronym": [
"GASP-T"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | in the context of agricultural monitoring, the accuracy of soil moisture assessments significantly improves with the integration of remote sensing technologies. Recent studies have demonstrated the utility of satellite imagery in genera... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture and Vegetation Index Database"
],
"acronym": [
"S2SMVID"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments reveal a complex landscape of multidimensional poverty in Central America, particularly when examining household consumption patterns. The Central America Poverty and Consumption Survey 2021 (CAPCS 2021), produced by the Cen... | {
"entities": {
"name": [
"Central America Poverty and Consumption Survey 2021"
],
"acronym": [
"CAPCS 2021"
],
"producer": [
"Central American Economic Institute"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"na... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators of poverty in Colombia remain critical for understanding the effectiveness of social safety nets. The National Socioeconomic Survey 2021 (NSS 2021) produced by DANE provides essential survey data on household economic conditi... | {
"entities": {
"name": [
"National Socioeconomic Survey 2021",
"household poverty assessment records",
"Colombian National Registry of Social Programs",
"national survey on welfare indicators",
"Poverty and Inequality Report 2020",
"information on social safety nets coverage",... |
specificity: named | descriptive | vague usage: primary | supporting | background | patterns of refugee movements in Jordan and Lebanon reveal a complex interplay of socio-economic factors impacting settlement choices. The Jordan-Lebanon Refugee Registration and Settlement Tracking System (JLRRSTS), a comprehensive sys... | {
"entities": {
"name": [
"Jordan-Lebanon Refugee Registration and Settlement Tracking System"
],
"acronym": [
"JLRRSTS"
],
"producer": [
"UNHCR"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"ge... |
specificity: named | descriptive | vague usage: primary | supporting | background | Furthermore, the integration of the Yemen IDP Location Monitoring System (YILMS) has proven essential for tracking internally displaced persons across the region. This database, produced by the United Nations Office for the Coordination... | {
"entities": {
"name": [
"Yemen IDP Location Monitoring System"
],
"acronym": [
"YILMS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"database"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators derived from the National Socioeconomic Survey 2021 (NSS 2021), produced by the Departamento Administrativo Nacional de Estadística (DANE), highlight substantial disparities in welfare assessments across various socioeconomic... | {
"entities": {
"name": [
"National Socioeconomic Survey 2021",
"household income and expenditure survey data",
"Social Welfare Program Coverage Report 2020",
"poverty mapping data",
"Colombian Social Protection Registry 2019",
"available welfare assessment records",
"nat... |
specificity: named | descriptive | vague usage: primary | supporting | background | urban areas of Bangladesh, particularly those at risk of flooding, the regression analysis employed ordinary least squares (OLS) methods to assess the impact of socio-economic variables on vulnerability. Previous models have struggled t... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Combining vegetation index data, specifically the normalized difference vegetation index (NDVI), with localized survey data provides a robust approach to crop yield estimations in Ethiopia. The integration of the NDVI, which captures re... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey"
],
"acronym": [
"ENAS"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"survey"
],
"specificity": [
"named"
],
"u... |
specificity: named | descriptive | vague usage: primary | supporting | background | migration patterns, particularly regarding border crossings and the registration of asylum seekers, are critical in understanding the complexities of Southern Europe’s migratory landscape. The European Migration Network Report 2021 (EMN... | {
"entities": {
"name": [
"European Migration Network Report 2021",
"Asylum Seekers Registration Data 2020",
"Cross-Border Migration Flows Analysis",
"Southern European Refugee Tracking System",
"Annual Reports on Asylum Applications",
"information on migration patterns"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial planning is vital for effective disease prevention strategies in refugee camps. For instance, the Kenya Refugee Camp Water Access Survey 2022 (KRCWAS) provides essential insights into the accessibility of water resources, a key ... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Survey 2022"
],
"acronym": [
"KRCWAS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly critical to comprehend the connections between household consumption and poverty levels, the Central American Household Consumption Survey 2021 (CAHCS 2021) provides valuable insights into consumption behaviors across the r... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2021",
"Multidimensional Poverty Index Assessment Data",
"2019 Regional Poverty and Consumption Report",
"National Socioeconomic Survey Data",
"Household Consumption Patterns in Central America",
"2020 Cen... |
specificity: named | descriptive | vague usage: primary | supporting | background | The analysis of carbon stock estimation significantly benefits from the integration of advanced remote sensing technologies such as LiDAR, which allows for precise measurements of forest structure. In particular, the Aerial Canopy Heigh... | {
"entities": {
"name": [
"Aerial Canopy Height Measurement Survey 2022"
],
"acronym": [
"ACHMS 2022"
],
"producer": [
"National Forest Inventory Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly enhance the understanding of socio-economic landscapes by leveraging the Mobile Phone Call Data Record Database (CDRDB), a comprehensive database produced by the Telecom Analytics Group between 2019 and 2021. Such records ... | {
"entities": {
"name": [
"Mobile Phone Call Data Record Database",
"Household Wealth Index Survey Records",
"UN Global Poverty Monitoring System",
"Mobile Usage and Poverty Correlation Data",
"Annual Reports on Telecom Subscriber Data",
"World Bank Poverty Assessment Database"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Poverty indicators from the Colombian National Socioeconomic Survey 2021 (CNSE 2021), produced by the National Department of Statistics (DANE), reveal alarming trends in welfare assessments and the coverage of social safety nets across ... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey 2021",
"household poverty assessment records"
],
"acronym": [
"CNSE 2021"
],
"producer": [
"National Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Su... |
specificity: named | descriptive | vague usage: primary | supporting | background | evidence suggests that integrating the normalized difference vegetation index (NDVI) with localized survey data can enhance the accuracy of crop yield estimations. The analysis employs the Ethiopian Agricultural Survey Database 2022 (EA... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey Database 2022"
],
"acronym": [
"EASD 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | elevation data provided by the National LiDAR and Canopy Height Assessment (NLCHA) indicates significant variation in canopy heights across the surveyed regions. Analysis focused on correlating these measurements with estimated carbon s... | {
"entities": {
"name": [
"National LiDAR and Canopy Height Assessment"
],
"acronym": [
"NLCHA"
],
"producer": [
"U.S. Geological Survey"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | ranging across multiple analytical layers, the integration of the Jordan Refugee Registration System (JRRS), a comprehensive database produced by UNHCR from 2015-2023, allows for a nuanced understanding of refugee demographics in the re... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"Refugee Settlement Monitoring Records",
"historical records on refugee populations"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023",
"2018-2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | aspects of the methodology included the implementation of Ordinary Least Squares (OLS) regression models, which provided insights into the relationships between agricultural productivity and various exogenous factors. The statistical an... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | contours of urban flood corridors were further delineated using the National Urban Flood Risk Assessment Database (NUFRAD), a comprehensive database produced by the Ministry of Water Resources, Bangladesh, specifically compiled in 2022.... | {
"entities": {
"name": [
"National Urban Flood Risk Assessment Database",
"GIS-based mapping of informal settlements in urban areas",
"historic flood event records and responses"
],
"acronym": [
"NUFRAD"
],
"producer": [
"Ministry of Water Resources, Bangladesh"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition to the Refugee Settlement Tracking Records, the Jordan Refugee Registration Database (JRRD), produced by UNHCR, serves as a crucial tool for monitoring refugee demographics and settlement patterns in both Jordan and Lebanon.... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database",
"report"
],
"specificity": [
"named",
"descriptive"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Multidimensional poverty remains a pressing issue in Central America, particularly when assessed through household consumption metrics. According to recent findings, the Central American Poverty Assessment Survey 2022 (CAPAS 2022) revea... | {
"entities": {
"name": [
"Central American Poverty Assessment Survey 2022"
],
"acronym": [
"CAPAS 2022"
],
"producer": [
"Central American Development Bank"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | settlement patterns among refugee populations in both countries, the UNHCR Refugee Registration Database (URRD) serves as a crucial tool for monitoring and addressing the needs of displaced individuals. This database, produced by the Un... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Analysis of deforestation mapping indicates that the Brazilian Amazon continues to experience significant forest loss, which has direct implications for carbon emissions. The Brazilian Amazon Deforestation Monitoring System (BAMDS), pro... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System"
],
"acronym": [
"BAMDS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"System"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | Household consumption patterns in Central America exhibit significant correlations with poverty metrics, particularly as reflected in the findings of the Central American Multidimensional Poverty Assessment 2021 (CAMPA 2021) conducted b... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Assessment 2021"
],
"acronym": [
"CAMPA 2021"
],
"producer": [
"Economic Commission for Latin America and the Caribbean (ECLAC)"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the application of mobile phone call detail records (CDRs) in estimating wealth indices has raised significant methodological concerns. Many studies rely on ordinary least squares (OLS) regression to model household consumption expendit... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in conjunction with the insights derived from the Jordan Refugee Registration Database (JRRD), the analysis reveals significant patterns in the movement and integration of displaced populations within Jordan and Lebanon. The UNHCR has m... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"Refugee Settlement Tracking Records",
"recently collected information on refugee demographics"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2020-2023"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | data collected from the Sentinel-2 Soil Moisture Monitoring Database (S2SMD) has proven instrumental in enhancing the accuracy of agricultural monitoring efforts. The database, produced by the European Space Agency, spans the years 2015... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of current migration trends data reveals significant fluctuations in border crossings across Southern Europe, particularly in relation to the ongoing crises that have influenced the movement of asylum seekers. Utilizing the... | {
"entities": {
"name": [
"European Migration Network Database",
"Asylum Seeker Registration Records",
"current migration trends data"
],
"acronym": [
"EMN"
],
"producer": [
"European Commission"
],
"timeframe": [
"2021",
"2020-2023"
],
"da... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed various data sources, notably the **Sentinel-2 Soil Moisture Time Series (S2SMTS)** database produced by the **European Space Agency**, which spans the timeframe from **2015-2023**. These datasets contribute significantly to un... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Time Series",
"Global Satellite Soil Moisture Observations",
"Remote Sensing Data for Agricultural Monitoring",
"Sentinel-2 Agricultural Monitoring Dataset 2022",
"Soil Moisture Mapping Imagery",
"Comprehensive Agricultural In... |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking methods utilized in the assessment involved extensive use of regression analyses, specifically ordinary least squares (OLS) models to evaluate the impact of localized insecticide-treated bed nets on malaria incidence. Key varia... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Multidimensional poverty assessments highlight the critical relationship between household consumption and socioeconomic conditions across Central America, where the Central American Poverty Assessment Database (CAPAD), produced by the ... | {
"entities": {
"name": [
"Central American Poverty Assessment Database",
"household consumption expenditure survey data",
"recently collected household poverty information"
],
"acronym": [
"CAPAD"
],
"producer": [
"Central American Development Agency"
],
"tim... |
specificity: named | descriptive | vague usage: primary | supporting | background | Household consumption expenditure data reveal critical insights into the socio-economic dynamics in rural India. In particular, findings from the National Family Health Survey - 5 (NFHS-5), a comprehensive survey produced by the Ministr... | {
"entities": {
"name": [
"National Family Health Survey - 5 (NFHS-5)"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | conditions affecting border crossings have led to a significant increase in the volume of migrants seeking refuge in Southern Europe. Recent analyses indicate that the Southern European Migration Flows Database (SEMFDB), a comprehensive... | {
"entities": {
"name": [
"Southern European Migration Flows Database",
"asylum seekers registration records"
],
"acronym": [
"SEMFDB"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"Database"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Utilizing OLS regression, the analysis aimed to assess the relationship between urban flood corridors and the prevalence of informal settlements in Bangladesh. Factors such as household consumption expenditure were hypothesized to influ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the administrative structures surrounding asylum applications in Germany reveal significant insights, particularly from the German Asylum Seeker Registry 2022 (GASR), a comprehensive database produced by the Federal Office for Migration... | {
"entities": {
"name": [
"German Asylum Seeker Registry 2022",
"Asylum Intake Processing Times Analysis",
"Refugee Administrative Records in Germany",
"International Refugee Registration Data",
"available processing times information",
"Asylum Seekers Registration and Tracking... |
specificity: named | descriptive | vague usage: primary | supporting | background | household consumption patterns reveal significant disparities in expenditure and deprivation metrics across rural India. The National Family Health Survey (NFHS) 2019-20, a comprehensive survey produced by the Ministry of Health and Fam... | {
"entities": {
"name": [
"National Family Health Survey (NFHS) 2019-20"
],
"acronym": [
"NFHS"
],
"producer": [
"Ministry of Health and Family Welfare, India"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | quantitative analysis of soil moisture levels revealed a strong correlation between precipitation patterns and agricultural productivity. Utilizing the Sentinel-2 Soil Moisture Monitoring Database (S2SMMDB), which spans the timeframe fr... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"Satellite Imagery for Agricultural Monitoring"
],
"acronym": [
"S2SMMDB"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database",
"Imagery"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | supporting hypothesis testing for the impacts of land cover change on carbon emissions. An ordinary least squares (OLS) regression model was employed to ascertain the relationship between forest loss and household consumption expenditur... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The analysis of household consumption patterns reveals significant disparities, particularly when comparing the **National Sample Survey on Consumption Expenditure (NSSCE)**, produced by the **Ministry of Statistics and Programme Implem... | {
"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 | Registration data indicates a significant increase in the number of refugees recorded in the UNHCR Refugee Registration System - Jordan and Lebanon (URRS-JL) during the 2021-2023 timeframe. This database, produced by the United Nations ... | {
"entities": {
"name": [
"UNHCR Refugee Registration System - Jordan and Lebanon"
],
"acronym": [
"URRS-JL"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"database"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | Aerial canopy height measurements provide critical insights into forest structure, which can significantly influence carbon stock estimation. Utilizing the National Aerial LiDAR Survey for Forest Carbon Assessment (NALFSCA), produced by... | {
"entities": {
"name": [
"National Aerial LiDAR Survey for Forest Carbon Assessment"
],
"acronym": [
"NALFSCA"
],
"producer": [
"United States Forest Service"
],
"timeframe": [
"2018-2020"
],
"datatype": [
"Survey"
],
"specificity": [
"n... |
specificity: named | descriptive | vague usage: primary | supporting | background | selected for inclusion in the regression model. The methodology employed involves the Ordinary Least Squares (OLS) technique to estimate the relationship between household consumption expenditure and various socio-economic indicators, s... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators suggest a complex interplay between socio-economic factors and welfare outcomes in Colombia. Analysis utilizing the Colombian National Survey of Households 2021 (CNH 2021) reveals significant disparities in poverty rates, wit... | {
"entities": {
"name": [
"Colombian National Survey of Households 2021"
],
"acronym": [
"CNH 2021"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | welfare assessments reveal a complex landscape of poverty indicators across Colombia, underscoring the need for comprehensive social safety nets. According to the Colombia Poverty Assessment 2021 (CPA 2021), produced by the World Bank, ... | {
"entities": {
"name": [
"Colombia Poverty Assessment 2021",
"National Household Survey on Income and Expenditure",
"social safety net coverage records"
],
"acronym": [
"CPA 2021",
"ENIGH"
],
"producer": [
"World Bank",
"DANE"
],
"timeframe": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the interaction between urban mobility patterns and socioeconomic indicators can be effectively modeled using geospatial regression techniques, particularly when employing databases such as the Mobile Phone Call Detail Records for Pover... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment",
"Mobile Survey Data on Wealth Index Estimations"
],
"acronym": [
"MPCDR-PA"
],
"producer": [
"National Bureau of Statistics"
],
"timeframe": [
"2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping initiatives in Brazil have increasingly relied on remote sensing techniques to accurately assess forest loss and its associated carbon emissions. Notably, the Brazilian Satellite Forest Monitoring Program (BSFMP) provides a comp... | {
"entities": {
"name": [
"Brazilian Satellite Forest Monitoring Program"
],
"acronym": [
"BSFMP"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"system"
],
"specificity": [
"named"
],
"usage": [
"pri... |
specificity: named | descriptive | vague usage: primary | supporting | background | the interplay between localized insecticide-treated bed nets and malaria vector populations highlights the necessity of comprehensive data collection efforts. The Malaria Vector Surveillance and Bed Net Coverage Database (MVSBNC), produ... | {
"entities": {
"name": [
"Malaria Vector Surveillance and Bed Net Coverage Database",
"Geospatial Mapping of Insecticide Resistance in Nigeria",
"Recent studies on malaria vector distribution and interventions"
],
"acronym": [
"MVSBNC"
],
"producer": [
"Nigeria Minis... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping poverty through the analysis of mobile phone usage has gained traction, particularly with datasets such as the Mobile Phone Call Detail Records for Socioeconomic Analysis (MP-CDR-SEA), which provides a rich database produced by ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Demographic and Health Survey Wealth Index Data",
"mobile network usage patterns in poverty mapping"
],
"acronym": [
"MP-CDR-SEA",
"DHS-WI"
],
"producer": [
"Global Mobile ... |
specificity: named | descriptive | vague usage: primary | supporting | background | wealth index estimations leveraging Mobile Phone Call Detail Records for Socioeconomic Analysis (MP-CDR-SEA) have proven particularly effective in poverty mapping, allowing for a granular understanding of socioeconomic conditions. The d... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis"
],
"acronym": [
"MP-CDR-SEA"
],
"producer": [
"National Telecommunication Authority"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | utilizing advanced statistical approaches, the Gini coefficient was computed to measure inequality in household consumption expenditure across various urban flood corridors. Notably, OLS regression models were deployed to analyze the in... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | assistance in Yemen has become increasingly complex due to the persistent conflict and the significant number of internally displaced persons (IDPs). The Yemen IDP Location and Needs Assessment 2022 (YINA), produced by the United Nation... | {
"entities": {
"name": [
"Yemen IDP Location and Needs Assessment 2022",
"Satellite Imagery for IDP Tracking",
"Yemen Humanitarian Response Plan 2021",
"Household Displacement Survey Data",
"Comprehensive IDP Registration Records",
"Yemen Displacement Monitoring Dashboard",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implications of these findings highlight the disparities evident in rural regions. Specifically, the National Sample Survey on Consumption Expenditure (NSSCE) conducted by the Ministry of Statistics and Programme Implementation, Gov... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Household Consumption Expenditure Survey Data",
"recently collected records"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of In... |
specificity: named | descriptive | vague usage: primary | supporting | background | the multidimensional poverty index (MPI) assessments in Central America reveal significant correlations with household consumption patterns, as indicated by the recent analysis of the Central American Household Consumption and Poverty S... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Survey 2022",
"household consumption expenditure survey data",
"recently collected survey data on poverty levels"
],
"acronym": [
"CAHCPS 2022"
],
"producer": [
"Central America Statistical ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of poverty indicators within the framework of the National Socioeconomic Survey (ENS 2020) reveals critical insights into the prevailing welfare conditions across various regions. Specifically, the ENS, produced by the Depa... | {
"entities": {
"name": [
"National Socioeconomic Survey (ENS 2020)",
"Multidimensional Poverty Index Assessment Framework",
"Recent welfare assessment reports"
],
"acronym": [
"ENS"
],
"producer": [
"Department of National Statistics of Colombia"
],
"timefram... |
specificity: named | descriptive | vague usage: primary | supporting | background | representative of the intricate interplay between environmental conditions and vector distribution patterns. The Nigeria Malaria Vector Surveillance Database (NMVSD) indicates that localized hotspots of transmission were most frequently... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database",
"Geospatial Tracking of Insecticide-Treated Bed Nets Usage"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"timeframe": [
"2021-2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzing the effects of urban flood corridors on informal settlements requires sophisticated methodologies and robust statistical tools. Given the complexities of the urban landscape in Bangladesh, ordinary least squares (OLS) regressi... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the correlation between consumption expenditure and various deprivation indicators can be effectively illustrated using several household survey datasets. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Mi... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"recently collected household survey data"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Go... |
specificity: named | descriptive | vague usage: primary | supporting | background | assistance has become increasingly critical, as fluctuating conflict dynamics in Yemen result in significant movements among internally displaced persons (IDPs). Current efforts to coordinate relief operations are largely informed by th... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YILT"
],
"producer": [
"Yemen Humanitarian Coordination Team"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrating significant correlations, the spatial overlay analysis utilizes the Brazilian National Institute of Space Research (INPE) Forest Loss Database (INPE-FLD) as a primary data source. This comprehensive database, produced by t... | {
"entities": {
"name": [
"Brazilian National Institute of Space Research (INPE) Forest Loss Database"
],
"acronym": [
"INPE-FLD"
],
"producer": [
"Brazilian National Institute of Space Research"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | while analyzing the relationship between consumption patterns and indicators of deprivation, the regression model integrates data from the National Sample Survey on Consumption Expenditure (NSSE) as a primary source. This survey, produc... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019"
],
"datatype": [
"Survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of deforestation in Brazil utilizes geospatial forest loss datasets, including the Brazilian Amazon Deforestation Monitoring System (BADMS), which has been operational since 2010 and continues to provide critical insights t... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System (BADMS)"
],
"acronym": [
"BADMS"
],
"producer": [
"Brazilian National Institute for Space Research (INPE)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usa... |
specificity: named | descriptive | vague usage: primary | supporting | background | particularly acute in conflict-affected areas where the Yemen IDP Location Tracking Database (YILTD) plays a crucial role. The YILTD, produced by the Yemen Humanitarian Coordination Office, serves as a pivotal database for monitoring th... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YILTD"
],
"producer": [
"Yemen Humanitarian Coordination Office"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | in addition, the impact of socio-economic factors on consumption patterns reveals significant insights from the National Family Health Survey - 5 (NFHS-5), a survey produced by the Ministry of Health and Family Welfare, Government of In... | {
"entities": {
"name": [
"National Family Health Survey - 5"
],
"acronym": [
"NFHS-5"
],
"producer": [
"Ministry of Health and Family Welfare, Government of India"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets have been critically mapped using the Nigerian Malaria Vector Surveillance Program (NMVSP), a comprehensive database produced by the National Malaria Control Program, Nigeria, covering the timefram... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Program"
],
"acronym": [
"NMVSP"
],
"producer": [
"National Malaria Control Program, Nigeria"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
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