input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of poverty indicators reveals significant disparities in welfare assessments, particularly regarding the Colombian National System for Socioeconomic Stratification (SISBÉN)¹. Produced by the Department of Social Prosperity,... | {
"entities": {
"name": [
"Colombian National System for Socioeconomic Stratification (SISBÉN)"
],
"acronym": [
"SISBÉN"
],
"producer": [
"Department of Social Prosperity, Colombia"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | the efficiency of the asylum seeker intake process can be assessed through the utilization of the Asylum Seeker Intake Monitoring System (ASIMS), a comprehensive system developed by the Federal Office for Migration and Refugees (BAMF) c... | {
"entities": {
"name": [
"Asylum Seeker Intake Monitoring System",
"administrative refugee records"
],
"acronym": [
"ASIMS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"System"
],
"specificity": [
"named"... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments of poverty indicators in Colombia reveal significant disparities in social safety net coverage. The Colombia Multi-Dimensional Poverty Index Survey 2021 (CMPIS 2021), produced by the National Administrative Department of Sta... | {
"entities": {
"name": [
"Colombia Multi-Dimensional Poverty Index Survey 2021",
"household welfare assessment records",
"recently collected socio-economic information"
],
"acronym": [
"CMPIS 2021"
],
"producer": [
"National Administrative Department of Statistics (D... |
specificity: named | descriptive | vague usage: primary | supporting | background | with the current understanding of carbon emissions, the Brazilian Forest Monitoring Program (PMFB), produced by the Brazilian Institute of Environment and Renewable Natural Resources (IBAMA), has released a comprehensive report covering... | {
"entities": {
"name": [
"Brazilian Forest Monitoring Program (PMFB)",
"Geospatial Forest Loss Analysis from MODIS Satellite Imagery",
"Annual Carbon Emission Assessment for Deforestation in the Amazon",
"Satellite-Based Deforestation Surveillance Data",
"available geospatial datase... |
specificity: named | descriptive | vague usage: primary | supporting | background | overly influenced by the spatial resolution of the satellite imagery for agricultural monitoring, which necessitated the integration of the Sentinel-2 Soil Moisture Monitoring Database (S2SMMDB). This database, produced by the European ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMMDB"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2017-2023"
],
"datatype": [
"Database"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the disparities in consumption expenditure and deprivation levels are particularly pronounced when examining the findings from the National Sample Survey on Household Consumption Expenditure (NSS-CE), produced by the Government of India... | {
"entities": {
"name": [
"National Sample Survey on Household Consumption Expenditure",
"household consumption expenditure survey data"
],
"acronym": [
"NSS-CE"
],
"producer": [
"Government of India"
],
"timeframe": [
"2018"
],
"datatype": [
"Su... |
specificity: named | descriptive | vague usage: primary | supporting | background | understanding the relationship between crop yields and vegetation indices is essential for enhancing agricultural productivity in Ethiopia. A spatial overlay analysis was performed using the Ethiopian Agricultural Sample Survey 2021 (EA... | {
"entities": {
"name": [
"Ethiopian Agricultural Sample Survey 2021",
"vegetation index and crop yield survey data",
"recently collected agricultural data"
],
"acronym": [
"EASS 2021"
],
"producer": [
"Central Statistical Agency of Ethiopia"
],
"timeframe": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial distribution of resources remains a challenge for effective management in refugee settings. The findings from the "Spatial Analysis of Water Supply Access in Refugee Camps" report indicate significant disparities in water access... | {
"entities": {
"name": [
"Kenya Refugee Health Information System 2022",
"Spatial Analysis of Water Supply Access in Refugee Camps",
"Recent records on health and sanitation in refugee populations"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenya Ministry of Health"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of multiple datasets facilitates a comprehensive understanding of urban flood corridors and their impacts on informal settlements in Bangladesh. Utilizing the Urban Flood Risk Assessment Database (UFRAD), produced by the... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Household Demographic and Socioeconomic Survey Data",
"Bangladesh National Disaster Management Report",
"Geospatial Analysis of Informal Settlements",
"Flood Prone Areas Mapping System",
"Urban Infrastructure an... |
specificity: named | descriptive | vague usage: primary | supporting | background | responses from Southern European nations regarding border crossings and the associated registration of asylum seekers have been systematically tracked through the Southern European Migration Flows and Asylum Seeker Registration System (... | {
"entities": {
"name": [
"Southern European Migration Flows and Asylum Seeker Registration System"
],
"acronym": [
"SEMARS"
],
"producer": [
"European Union Agency for Asylum"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"system"
],
"specifi... |
specificity: named | descriptive | vague usage: primary | supporting | background | Given the increasing focus on economic disparities, the analysis of household survey datasets on consumption expenditure is crucial for understanding deprivation in rural India. The National Sample Survey on Consumption Expenditure (NSS... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"rural 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 spatial analysis incorporates data from multiple systems to enhance the accuracy of location tracking for internally displaced persons (IDPs) in Yemen. Utilizing the Yemen IDP Monitoring Database (YIMD), produced by the Yemeni Minis... | {
"entities": {
"name": [
"Yemen IDP Monitoring Database",
"Humanitarian Assistance Needs Assessment",
"Yemen Displacement Tracking Matrix",
"Emergency Response Registration Records",
"Crisis Impact Data",
"IDP Camp Location and Resource Allocation Survey",
"UNHCR Yemen R... |
specificity: named | descriptive | vague usage: primary | supporting | background | the pervasive issues surrounding poverty indicators in Colombia are underscored by findings from the Colombian National Survey of Household Welfare 2021 (CNHSW 2021), which highlights significant variations in welfare across urban and r... | {
"entities": {
"name": [
"Colombian National Survey of Household Welfare 2021",
"social safety nets coverage assessment"
],
"acronym": [
"CNHSW 2021"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | illustrate a significant challenge in providing timely humanitarian assistance to internally displaced persons (IDPs) in Yemen. The Yemen Displacement and Assistance Tracking System (YDAT), a comprehensive tracking system produced by th... | {
"entities": {
"name": [
"Yemen Displacement and Assistance Tracking System",
"IDP Location and Needs Assessment Data"
],
"acronym": [
"YDAT"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2022"... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping poverty in urban settings presents significant challenges; however, leveraging mobile phone CDR records offers a promising approach. The Mobile Phone CDR Poverty Mapping Study (CDR-PMS), produced by the Institute for Poverty Res... | {
"entities": {
"name": [
"Mobile Phone CDR Poverty Mapping Study",
"Dynamic Wealth Index Estimation Records",
"Global Mobile Network Data on Socioeconomic Factors",
"Demographic and Health Survey 2020",
"Mobile Network Operator CDR Aggregation Data"
],
"acronym": [
"CD... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements acquired through advanced LiDAR technology have proven critical for accurately estimating carbon stocks across diverse forest ecosystems. The Global LiDAR Canopy Height Data 2022 (GLCHD 2022) serves as a primary data... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Data 2022"
],
"acronym": [
"GLCHD 2022"
],
"producer": [
"International Carbon Monitoring Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity": [
"named"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | monitoring changes in forest cover through the Brazilian Deforestation Monitoring Program (BDMP) provides critical insights into the extent of deforestation in Brazil, particularly between 2019-2023. Utilizing satellite imagery, the BDM... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring Program",
"Geospatial Forest Loss Assessment",
"Recent environmental reports"
],
"acronym": [
"BDMP"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2019... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression models employed further indicated significant correlations between poverty indicators derived from the Colombian National Welfare Survey 2021 (CNWS) and the effectiveness of social safety nets coverage across urban and ru... | {
"entities": {
"name": [
"Colombian National Welfare Survey 2021"
],
"acronym": [
"CNWS"
],
"producer": [
"Departamento Administrativo Nacional de Estadística (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in rural India, the analysis of consumption patterns is particularly crucial for understanding economic wellbeing. The National Sample Survey on Consumption Expenditure (NSSCE), produced by the Ministry of Statistics and Programme Imple... | {
"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 integration of data from the Yemen IDP Location and Assistance Tracking System (YILATS) has proven critical in enhancing the efficiency of humanitarian interventions in Yemen. This database, produced by the Yemeni Ministry of Displa... | {
"entities": {
"name": [
"Yemen IDP Location and Assistance Tracking System",
"Humanitarian Assistance Needs Assessment Data",
"recently collected records"
],
"acronym": [
"YILATS"
],
"producer": [
"Yemeni Ministry of Displacement and Migration"
],
"timeframe... |
specificity: named | descriptive | vague usage: primary | supporting | background | adequate spatial planning in refugee camps is critical to ensure efficient water supply access and effective disease monitoring. The Kenya Refugee Camp Water Access Assessment (KRCWAA), produced by UNHCR from 2021-2022, highlights signi... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Assessment"
],
"acronym": [
"KRCWAA"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
"usage": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | systems for tracking asylum seeker intake reveal significant variations in processing times, with the Asylum Seeker Registration and Processing System (ASRPS) serving as a critical database for administrative records on refugees in Germ... | {
"entities": {
"name": [
"Asylum Seeker Registration and Processing System"
],
"acronym": [
"ASRPS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"system"
],
"specificity": [
"named"
],
"usage": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | to identify significant correlations, the spatial overlay analysis utilized the Mobile Phone Call Detail Records for Poverty Analysis (CDR-PA), a comprehensive database produced by the National Institute of Telecommunications between 20... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"CDR-PA"
],
"producer": [
"National Institute of Telecommunications"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | Regression analysis revealed a significant correlation between household consumption expenditure and vulnerability to flooding, particularly in informal settlements along urban flood corridors. Utilizing Ordinary Least Squares (OLS) reg... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | increased disease prevalence observed in several camps can be directly linked to inadequate water supply systems. The integration of the Water Access and Quality Monitoring Records is critical in assessing the impact of water quality on... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Access and Quality Monitoring Records"
],
"acronym": [
"KRHIS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"system",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial distribution of facilities within refugee camps is crucial for effective resource allocation, particularly concerning water supply access and disease monitoring in Kenya. The recent findings from the Kenya Refugee Health and Wat... | {
"entities": {
"name": [
"Kenya Refugee Health and Water Access Assessment 2023"
],
"acronym": [
"KRHWAA"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2023"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | refugee settlement patterns indicate significant variability across regions in Jordan and Lebanon. The analysis leverages the UNHCR Refugee Registration Database (URRD), a comprehensive database produced by the United Nations High Commi... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | coefficients related to the relationship between asylum seeker intake and processing times indicate a strong inverse correlation, as modeled through ordinary least squares (OLS) regression. The Gini coefficient derived from the administ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the localized geospatial analysis of malaria vectors indicates a significant correlation between vector distribution and the deployment of insecticide-treated bed nets (ITNs) in Nigeria. Preliminary findings from the Nigeria Malaria Vec... | {
"entities": {
"name": [
"Nigeria Malaria Vector Monitoring System"
],
"acronym": [
"NMVMS"
],
"producer": [
"National Malaria Elimination Programme (NMEP)"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"System"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | the effective coordination between various agencies relies heavily on the data derived from the UNHCR Refugee Registration Database (URRD), a comprehensive database managed by the United Nations High Commissioner for Refugees during the... | {
"entities": {
"name": [
"UNHCR Refugee Registration Database",
"refugee settlement tracking records"
],
"acronym": [
"URRD"
],
"producer": [
"United Nations High Commissioner for Refugees"
],
"datatype": [
"Database",
"report"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | the combination of various poverty indicators and the effectiveness of social safety nets remains crucial for understanding welfare dynamics in Colombia. The National Socioeconomic Survey (NSS), produced by DANE (National Administrative... | {
"entities": {
"name": [
"National Socioeconomic Survey",
"Poverty and Welfare Assessment Records"
],
"acronym": [
"NSS"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey... |
specificity: named | descriptive | vague usage: primary | supporting | background | Inequitable access to resources can exacerbate health disparities in refugee camps. Multiple regression models, including Ordinary Least Squares (OLS), were applied to assess the relationship between spatial planning interventions and w... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | factors associated with poverty indicators and their relation to social welfare assessments across urban and rural settings. To examine the influence of welfare program outreach on poverty alleviation, we utilized the Colombian National... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey"
],
"acronym": [
"CNS"
],
"producer": [
"Department of National Statistics of Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | significant correlations were observed between localized insecticide-treated bed nets and malaria vector populations across various regions in Nigeria. Utilizing the Nigerian Malaria Vector Surveillance Database (NMVSD), a comprehensive... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets",
"collected records on malaria transmission dynamics"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigerian Centre for Disease Control"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | combining these methods allows for an intricate analysis of agricultural productivity in relation to environmental indicators. The Ordinary Least Squares (OLS) regression model was applied to examine the correlation between the vegetati... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | tracking the movements and needs of internally displaced persons (IDPs) in Yemen has become critical in providing effective humanitarian assistance. The Yemen Internal Displacement Tracking Matrix (IDTM-Yemen), a database produced by th... | {
"entities": {
"name": [
"Yemen Internal Displacement Tracking Matrix"
],
"acronym": [
"IDTM-Yemen"
],
"producer": [
"International Organization for Migration (IOM)"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"database"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | Localized assessments indicate that the distribution of malaria vectors is intricately linked to the availability of insecticide-treated bed nets (ITNs), as evidenced by the comprehensive reports from the Nigeria Malaria Vector Surveill... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program",
"geospatial mapping of insecticide-treated bed nets"
],
"acronym": [
"NMVSP"
],
"producer": [
"National Malaria Elimination Programme"
],
"timeframe": [
"2019-2021"
],
"datatype":... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping efforts have revealed critical patterns in urban flood corridors, particularly in informal settlements across Bangladesh. The analysis conducted using the Bangladesh Urban Flood Vulnerability Assessment (BUFVA) provides a compre... | {
"entities": {
"name": [
"Bangladesh Urban Flood Vulnerability Assessment",
"Remote Sensing Satellite Imagery for Urban Areas",
"historical flood mapping records"
],
"acronym": [
"BUFVA"
],
"producer": [
"Ministry of Water Resources, Bangladesh"
],
"timeframe... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimations of wealth indices based on geographic delineations can significantly enhance poverty mapping efforts. Mobile Phone Call Detail Records for Poverty Mapping (CPR-PM), a comprehensive database produced by the Global Connectivit... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Mapping"
],
"acronym": [
"CPR-PM"
],
"producer": [
"Global Connectivity Research Institute"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | captured in the regression analysis, where the Gini coefficient was employed as a measure of income inequality across different regions. This method utilized Ordinary Least Squares (OLS) to estimate the impact of household consumption e... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | geospatial tracking provides crucial insights into the distribution of malaria vectors, particularly in regions heavily reliant on insecticide-treated bed nets (ITNs). Analysis of the Nigeria Malaria Vector and ITN Utilization Survey 20... | {
"entities": {
"name": [
"Nigeria Malaria Vector and ITN Utilization Survey 2022"
],
"acronym": [
"NMVITS 2022"
],
"producer": [
"National Malaria Elimination Programme, Nigeria"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specifici... |
specificity: named | descriptive | vague usage: primary | supporting | background | Multidimensional poverty assessments reveal critical insights when controlled for household consumption metrics. The spatial overlay analysis conducted in this context utilizes the Central American Multidimensional Poverty Index Survey ... | {
"entities": {
"name": [
"Central American Multidimensional Poverty Index Survey 2022"
],
"acronym": [
"CAMPI 2022"
],
"producer": [
"Central American Institute for Fiscal Studies"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specifi... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implementation of the Jordan Refugee Registration Database (JRRD) has enabled comprehensive tracking of refugee demographics and their statuses since 2015, producing substantial data that informs resource allocation and policy decis... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement monitoring records"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database",
"assessment"
],
"specificity": [
"named",
"descript... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed through the application of Ordinary Least Squares (OLS) regression, the results indicated a lack of statistically significant relationships between canopy height measurements and estimated carbon stock. Specifically, variables ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | The complexities surrounding migration flows necessitate a nuanced understanding of the underlying factors influencing border crossings and asylum seeker registrations in Southern Europe. Focusing on regression models to analyze the imp... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators derived from the Colombian Household Survey on Poverty and Inequality 2022 (CHSPI 2022), produced by the National Statistics Department of Colombia, highlight critical dimensions of poverty and inequality within the region. T... | {
"entities": {
"name": [
"Colombian Household Survey on Poverty and Inequality 2022",
"Social Safety Nets Coverage Assessment",
"recently collected welfare assessment records"
],
"acronym": [
"CHSPI 2022"
],
"producer": [
"National Statistics Department of Colombia"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | refugee applicants continue to increase, necessitating robust tracking mechanisms to manage the influx effectively. The German Asylum Seeker Registration System (GASRS), produced by the Federal Office for Migration and Refugees (BAMF), ... | {
"entities": {
"name": [
"German Asylum Seeker Registration System"
],
"acronym": [
"GASRS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [
"primary"... |
specificity: named | descriptive | vague usage: primary | supporting | background | infrastructure challenges, the "Kenya Refugee Camp Water Supply Assessment 2022" (KRCWSA 2022) produced by the United Nations High Commissioner for Refugees (UNHCR) provides critical insights into water supply access across various camp... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"Spatial Data on Refugee Camp Infrastructure",
"available records on health and sanitation in refugee camps"
],
"acronym": [
"KRCWSA 2022"
],
"producer": [
"United Nations High Commissioner f... |
specificity: named | descriptive | vague usage: primary | supporting | background | the multidimensional poverty index (MPI) assessments reveal significant correlations between socio-economic indicators and household consumption patterns in Central America. Notably, findings from the Central American Poverty Assessment... | {
"entities": {
"name": [
"Central American Poverty Assessment 2021",
"household consumption and expenditure survey data"
],
"acronym": [
"CAPA 2021"
],
"producer": [
"Economic Commission for Latin America and the Caribbean"
],
"timeframe": [
"2021"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression analysis applied to the spatial overlay of IDP locations reveals significant correlations between displacement patterns and access to humanitarian assistance. The Yemen Internal Displacement Monitoring System (YIDMS) serv... | {
"entities": {
"name": [
"Yemen Internal Displacement Monitoring System",
"Geospatial analysis of internally displaced persons' locations"
],
"acronym": [
"YIDMS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2021... |
specificity: named | descriptive | vague usage: primary | supporting | background | Satellite imagery plays a crucial role in enhancing agricultural practices, particularly through the integration of the Sentinel-2 Global Land Cover Dataset (S2GLCD), a comprehensive database produced by the European Space Agency coveri... | {
"entities": {
"name": [
"Sentinel-2 Global Land Cover Dataset",
"Satellite Imagery for Agricultural Monitoring",
"Recent Soil Moisture Assessment Records"
],
"acronym": [
"S2GLCD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2017-2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | as indicated by the Brazilian Amazon Deforestation Monitoring System (BAMDS), which has been crucial for assessing deforestation trends from 2015-2022. This system, produced by the Brazilian Institute of Environment and Renewable Natura... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Satellite Imagery for Deforestation Assessment",
"historical forest loss records"
],
"acronym": [
"BAMDS"
],
"producer": [
"Brazilian Institute of Environment and Renewable Natural Resource... |
specificity: named | descriptive | vague usage: primary | supporting | background | with regard to border crossings, the influx of asylum seekers has significantly impacted migration flows in Southern Europe. The Southern Europe Migration and Asylum Trends Database (SEMAT), produced by the European Migration Network, o... | {
"entities": {
"name": [
"Southern Europe Migration and Asylum Trends Database"
],
"acronym": [
"SEMAT"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping of malaria vectors utilized an iterative geospatial tracking system to analyze the efficacy of localized insecticide-treated bed nets across selected regions in Nigeria. Regression models applied, particularly Ordinary Least Squ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | After controlling for regional disparities, the analysis reveals significant correlations between asylum seeker intake tracking and processing times, particularly illustrated in the Asylum Seeker Processing Records in Germany 2022 (ASPR... | {
"entities": {
"name": [
"Asylum Seeker Processing Records in Germany 2022"
],
"acronym": [
"ASPRG22"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | height measurements derived from LiDAR technology provide a critical basis for accurate carbon stock estimation. These data, gathered from various studies, are consolidated within the Forest Canopy Height Assessment Database (FCHAD), a ... | {
"entities": {
"name": [
"Forest Canopy Height Assessment Database"
],
"acronym": [
"FCHAD"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure patterns reveal significant insights into the socio-economic conditions of rural households. For instance, the analysis of the National Rural Livelihoods Mission Consumption Expenditure Survey 2021 (NRLM-CES) provides a comp... | {
"entities": {
"name": [
"National Rural Livelihoods Mission Consumption Expenditure Survey 2021"
],
"acronym": [
"NRLM-CES"
],
"producer": [
"Ministry of Rural Development, Government of India"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
]... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping soil moisture content using satellite imagery has become increasingly vital for precision agriculture and environmental monitoring. By employing the Sentinel-2 Soil Moisture Monitoring Dataset (S2SMM), which is a comprehensive d... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Dataset"
],
"acronym": [
"S2SMM"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usa... |
specificity: named | descriptive | vague usage: primary | supporting | background | notably, the analysis leverages insights from the Mobile Phone Call Detail Records for Poverty Analysis (CDR-PAP) database, produced by the Global Poverty Lab between 2019-2021. This dataset enables a nuanced understanding of socio-econ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis"
],
"acronym": [
"CDR-PAP"
],
"producer": [
"Global Poverty Lab"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"database"
],
"specificity": [
"named"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzing the spatial overlay between the delineated urban flood corridors and the informal settlements, the Urban Flood Risk Assessment Database (UFRAD) serves as a critical resource in this evaluation. Produced by the Bangladesh Cente... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Informal Settlement Mapping Survey Data",
"historical flood event records"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Center for Environmental Research"
],
"timeframe": [
"2021"... |
specificity: named | descriptive | vague usage: primary | supporting | background | surveillance database produced by the National Malaria Control Programme, Nigeria, demonstrates that the geospatial tracking of malaria vectors has become increasingly sophisticated, particularly with the recent implementation of the Ni... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database",
"geospatial mapping of insecticide-treated bed nets distribution"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"datatype": [
"database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption expenditure was defined but not linked to any quantifiable measures, leading to assumptions in the OLS regression analysis that lacked empirical grounding. The Gini coefficient was calculated but without appropriate weightin... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | to ascertain the relationship between urban flood risk and informal settlement patterns, the GIS mapping incorporated data from the Bangladesh Urban Flood Risk Assessment 2021 (BUFRA 2021) produced by the Bangladesh Ministry of Disaster... | {
"entities": {
"name": [
"Bangladesh Urban Flood Risk Assessment 2021"
],
"acronym": [
"BUFRA 2021"
],
"producer": [
"Bangladesh Ministry of Disaster Management and Relief"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
"specificity... |
specificity: named | descriptive | vague usage: primary | supporting | background | for instance, the integration of the Sentinel-2 Soil Moisture Monitoring Database (S2SMD) has significantly improved our ability to assess soil moisture levels across various agricultural landscapes. Produced by the European Space Agenc... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"satellite imagery for agricultural monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2017-2023"
],
"datatype": [
"Database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | border control measures that were implemented during the recent surge in migration flows have significantly influenced the registration processes for asylum seekers. Utilizing the Southern European Migration Data Registry (SEMDAR), prod... | {
"entities": {
"name": [
"Southern European Migration Data Registry"
],
"acronym": [
"SEMDAR"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"Registry"
],
"specificity": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed the distribution of Internally Displaced Persons (IDPs) in Yemen by leveraging the Yemen IDP Location Tracking Database (YILT). This database, produced by the Yemen National Humanitarian Coordination Office, covers the period f... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database"
],
"acronym": [
"YILT"
],
"producer": [
"Yemen National Humanitarian Coordination Office"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"Database"
],
"specificity": [
"name... |
specificity: named | descriptive | vague usage: primary | supporting | background | directly applied to the models, with the Mobile Phone Call Detail Records for Socioeconomic Analysis (CDR-SEA) providing a rich database for establishing correlations between communication patterns and wealth levels. The extensive data ... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Socioeconomic Analysis",
"Mobile-based Poverty Mapping Survey Data",
"access to financial records related to mobile services"
],
"acronym": [
"CDR-SEA"
],
"producer": [
"Institute for Mobile Telecommunica... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping the intricate dynamics of urban flood corridors reveals significant intersections with informal settlements, necessitating comprehensive data analysis for effective management. The Urban Flood Risk Assessment Database (UFRAD), p... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database"
],
"acronym": [
"UFRAD"
],
"producer": [
"Department of Disaster Management, Bangladesh"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | several statistical methods were employed, primarily focusing on OLS regression analysis to estimate the relationships between border crossings and asylum seekers' registration rates. Gini coefficients were calculated to assess the ineq... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the presence of localized insecticide-treated bed nets is crucial in mitigating the spread of malaria, particularly in regions documented through the Nigerian Malaria Vector Surveillance Database (NMVSD). This database, produced by the ... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets in Nigeria",
"available records on malaria vector distribution"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigerian Ministry of Health"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | access to clean water is crucial in the context of refugee camps, particularly in Kenya, where spatial planning directly impacts health outcomes. The Kenya Refugee Camp Water Access Monitoring System (KRCWAMS), produced by the United Na... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Access Monitoring System"
],
"acronym": [
"KRCWAMS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | localized insecticide-treated bed nets in Nigeria have shown variable effectiveness based on the geospatial distribution of malaria vectors. Analysis from the Nigeria Malaria Vector Surveillance Database (NMVSD), produced by the Nationa... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Programme (NMEP)"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"Database"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | border crossings along the Mediterranean have been linked to rising numbers of asylum seekers, prompting the need for effective tracking of migration flows. The Southern Europe Asylum Seeker Registration Database (SEASR), produced by th... | {
"entities": {
"name": [
"Southern Europe Asylum Seeker Registration Database"
],
"acronym": [
"SEASR"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the resulting analysis suggests a notable correlation between multidimensional poverty index (MPI) assessments and household consumption patterns observed in the Central American context. Specifically, using data from the Central Americ... | {
"entities": {
"name": [
"Central American Household Poverty Assessment 2022"
],
"acronym": [
"CAHPA"
],
"producer": [
"Central American Institute for Economic and Social Research"
],
"timeframe": [
"2022"
],
"datatype": [
"assessment"
],
"spe... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial planning in refugee camps has become increasingly critical in addressing health and safety concerns, particularly regarding water supply and disease management. Recent assessments indicate that inadequate access to potable water... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Access Survey Data for Refugee Camps"
],
"acronym": [
"KRHIS"
],
"producer": [
"Ministry of Health, Kenya"
],
"datatype": [
"database",
"Survey"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | inclusion of the National Sample Survey on Consumption Expenditure (NSSCE) provides a comprehensive framework for examining patterns of consumption in rural households. The NSSCE, a survey produced by the Ministry of Statistics and Prog... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"household consumption expenditure survey data",
"historical records on rural household expenditures and deprivation"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Pr... |
specificity: named | descriptive | vague usage: primary | supporting | background | registration processes, analyzed through the Jordan Refugee Registration Database (JRRD), reveal significant patterns regarding demographic shifts and settlement trends in Jordan and Lebanon. The JRRD, a comprehensive database produced ... | {
"entities": {
"name": [
"Jordan Refugee Registration Database",
"refugee settlement monitoring records",
"available refugee registration information"
],
"acronym": [
"JRRD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis relies on a spatial overlay of disease incidence rates derived from the Kenya Refugee Health Information System (KRHIS) between 2019-2022, produced by the Ministry of Health, Kenya. By integrating these health data with the... | {
"entities": {
"name": [
"Kenya Refugee Health Information System",
"Water Supply Access Records for Refugee Camps"
],
"acronym": [
"KRHIS"
],
"producer": [
"Ministry of Health, Kenya"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"System",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seekers in Germany are monitored through various databases and reports, notably the German Asylum Seekers Administration Record 2021 (GASAR 2021), a comprehensive database produced by the Federal Office for Migration and Refugees... | {
"entities": {
"name": [
"German Asylum Seekers Administration Record 2021",
"Asylum Intake Processing Times Records",
"Historical Refugee Registration Information",
"Monthly Asylum Application Statistics"
],
"acronym": [
"GASAR 2021",
"MAAS"
],
"producer": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | was obtained from a spatial overlay analysis using the Nigeria Malaria Vector Surveillance Database (NMVSD), a comprehensive database produced by the National Malaria Control Programme, Nigeria, covering the period from 2018 to 2022. Th... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Control Programme, Nigeria"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary... |
specificity: named | descriptive | vague usage: primary | supporting | background | deforestation mapping employs various statistical methods, including the Ordinary Least Squares (OLS) regression model to estimate the impact of forest loss on carbon emissions. A significant challenge arises when assessing household co... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in tandem with the Sentinel-2 Soil Moisture Monitoring Dataset (S2SMM), which provides a comprehensive database developed by the European Space Agency covering the timeframe from 2015-2023. The incorporation of satellite imagery for soi... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Dataset",
"satellite imagery for soil moisture analysis"
],
"acronym": [
"S2SMM"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Administrative records indicate a crucial role of the Federal Asylum Seeker Registration Database (FASRD), which was produced by the German Federal Office for Migration and Refugees and compiled in 2022, in tracking intake patterns. Dat... | {
"entities": {
"name": [
"Federal Asylum Seeker Registration Database",
"Administrative Refugee Processing Records",
"Asylum Application Tracking System",
"Processing Time Analysis for Refugee Intake",
"current asylum seeker data",
"Refugee Registration and Processing Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | contributes to the understanding of administrative efficiency in asylum processing. By utilizing the German Asylum Seekers Processing System (GASPS), a comprehensive database maintained by the Federal Office for Migration and Refugees, ... | {
"entities": {
"name": [
"German Asylum Seekers Processing System"
],
"acronym": [
"GASPS"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The analysis incorporates various variables to explore the relationship between household consumption expenditure and measures of deprivation across rural India. Given the complex interplay of socio-economic factors, ordinary least squa... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | the Gini coefficient indicated a significant deviation in the distribution of household consumption expenditure across various regions, underscoring the need for a nuanced regression model. Utilizing OLS regression, we examined the rela... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | in examining the influence of canopy structure on carbon stock estimations, the regression control employed a variety of height metrics derived from LiDAR data. Notably, the National Aerial LiDAR Carbon Assessment (NALCA) serves as a pi... | {
"entities": {
"name": [
"National Aerial LiDAR Carbon Assessment"
],
"acronym": [
"NALCA"
],
"producer": [
"Environmental Protection Agency"
],
"timeframe": [
"2019-2021"
],
"datatype": [
"Assessment"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | identifying trends in asylum seekers' movements highlights significant patterns in Southern Europe. The Southern European Asylum Seekers Registration System (SEASRS), a database produced by the European Union Agency for Asylum between 2... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System",
"Patterns of Border Crossings and Migration Flows",
"Available records on asylum applications and border crossings"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for A... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimations reveal significant correlations between satellite-derived vegetation indices and localized yield data, especially when integrating findings from the Ethiopian Agricultural Transformation Agency Crop Yield Assessment 2022 (EA... | {
"entities": {
"name": [
"Ethiopian Agricultural Transformation Agency Crop Yield Assessment 2022"
],
"acronym": [
"EATACYA 2022"
],
"producer": [
"Ethiopian Agricultural Transformation Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"Assessment"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | with households being surveyed regarding their carbon emission rates while also examining household consumption expenditure to better understand the socio-economic conditions in urban flood corridors. The analysis employs ordinary least... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Indicators related to poverty levels in Colombia reveal significant gaps in social safety net coverage, particularly among vulnerable populations. The Colombian National Survey of Household Welfare (ENCV), a comprehensive survey produce... | {
"entities": {
"name": [
"Colombian National Survey of Household Welfare"
],
"acronym": [
"ENCV"
],
"producer": [
"Departamento Nacional de Estadística (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns reveal significant disparities across different socio-economic strata, as illustrated by the regression analysis leveraging data from the National Sample Survey on Consumption Expenditure (NSSCE) conducted by the Mi... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2011-2012"
],
"datatype": [
"Survey"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | An analysis of soil moisture dynamics reveals significant correlations with agricultural productivity metrics, particularly when employing the Sentinel-2 Soil Moisture Monitoring Database (S2SMMDB). This database, produced by the Europe... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMMDB"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
]
},
"rela... |
specificity: named | descriptive | vague usage: primary | supporting | background | Geospatial tracking reveals critical insights into the malaria vector landscape in Nigeria, particularly with respect to localized interventions. The integration of data from the Nigeria Malaria Vector Surveillance Database (NMVSD) prov... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database",
"Geospatial Mapping of Insecticide-Treated Bed Nets in Nigeria",
"recent malaria vector distribution and control measures information"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria ... |
specificity: named | descriptive | vague usage: primary | supporting | background | agricultural monitoring efforts have increasingly relied on the capabilities provided by the Sentinel-2 Soil Moisture Monitoring Database (S2SMM), a comprehensive resource developed by the European Space Agency, covering the timeframe f... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database"
],
"acronym": [
"S2SMM"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | significantly, the Brazil Forest Loss Monitoring System (BFLMS) provides crucial insights into deforestation dynamics, with data spanning from 2010-2022, produced by the Brazilian National Institute for Space Research (INPE). This syste... | {
"entities": {
"name": [
"Brazil Forest Loss Monitoring System",
"geospatial forest cover change data"
],
"acronym": [
"BFLMS"
],
"producer": [
"Brazilian National Institute for Space Research (INPE)"
],
"timeframe": [
"2010-2022"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | launched in response to the growing need for accurate poverty indicators, the Sistema de Información sobre Pobreza y Protección Social (SIPPS) serves as a vital database produced by the Ministerio de Inclusión Social, Colombia, covering... | {
"entities": {
"name": [
"Sistema de Información sobre Pobreza y Protección Social (SIPPS)"
],
"acronym": [
"SIPPS"
],
"producer": [
"Ministerio de Inclusión Social, Colombia"
],
"timeframe": [
"2019-2022"
],
"datatype": [
"database"
],
"speci... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, spatial overlay analyses have leveraged the UNHCR Registration and Settlement Tracking System in Jordan and Lebanon (URSTJ-L) to assess the demographic shifts among refugee populations. The data type categorized under this... | {
"entities": {
"name": [
"UNHCR Registration and Settlement Tracking System in Jordan and Lebanon"
],
"acronym": [
"URSTJ-L"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"Syste... |
specificity: named | descriptive | vague usage: primary | supporting | background | Mapping of urban flood corridors reveals critical intersections between flood risks and informal settlements in Bangladesh, as identified by the Urban Flood Risk Assessment Database 2021 (UFRAD 2021). This comprehensive database, produc... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database 2021",
"satellite imagery of urban areas affected by flooding"
],
"acronym": [
"UFRAD 2021"
],
"producer": [
"Bangladesh Water Development Board"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, the relationship between deforestation and carbon emissions is quantified using multiple regression models, where variables such as household consumption expenditure serve as predictors. The Ordinary Least Squares (OLS) me... | {
"entities": {
"name": []
},
"relations": []
} |
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