input stringlengths 112 2.1k | output dict |
|---|---|
specificity: named | descriptive | vague usage: primary | supporting | background | the welfare assessments derived from the Colombian National Survey of Household Income and Expenditure 2021 (ENIGH 2021) reveal critical insights into poverty indicators. Produced by DANE, this survey encompasses data from 2021, highlig... | {
"entities": {
"name": [
"Colombian National Survey of Household Income and Expenditure 2021",
"Poverty and Inequality Assessment Reports",
"Social Safety Nets Coverage Evaluation 2020",
"Colombian Household Welfare Indicator Data",
"recently collected socioeconomic data"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the assessment of socio-economic disparities is significantly challenged by the limitations in conventional poverty indices. By applying a regression analysis approach, specifically Ordinary Least Squares (OLS), the study attempts to co... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial overlay analysis was applied to correlate humanitarian assistance delivery with IDP locations to determine accessibility and service efficacy. The Yemen IDP Location Tracking System (YILTS), a comprehensive database produced by ... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System"
],
"acronym": [
"YILTS"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usag... |
specificity: named | descriptive | vague usage: primary | supporting | background | Local evaluations of malaria vector control initiatives in Nigeria indicate a significant correlation between the density of Anopheles species and the coverage rates of insecticide-treated bed nets. Recent findings highlight the utility... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance Database",
"geospatial tracking of insecticide-treated bed nets coverage"
],
"acronym": [
"NMVSD"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"datatype": [
"Database",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | strengthened operational responses through the use of comprehensive data management frameworks such as the Jordan Refugee Registration and Settlement Tracking System (JRRS). This system, produced by the United Nations High Commissioner ... | {
"entities": {
"name": [
"Jordan Refugee Registration and Settlement Tracking System"
],
"acronym": [
"JRRS"
],
"producer": [
"United Nations High Commissioner for Refugees (UNHCR)"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usa... |
specificity: named | descriptive | vague usage: primary | supporting | background | the combination of the vegetation index and local agricultural survey data facilitates a nuanced approach to crop yield estimations. Particularly, the Ethiopian Agricultural Survey on Crop Yields (EAS-CY) provides a comprehensive survey... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey on Crop Yields",
"vegetation index and local agricultural survey data"
],
"acronym": [
"EAS-CY"
],
"producer": [
"Ethiopian Central Statistical Agency"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | proceeds with the spatial overlay analysis leveraging mobile phone call detail records for poverty analysis, specifically addressing wealth index estimations across varied socio-economic contexts. The Mobile Impact Assessment Database (... | {
"entities": {
"name": [
"Mobile Impact Assessment Database",
"mobile phone call detail records for poverty analysis"
],
"acronym": [
"MIAD"
],
"producer": [
"Global Poverty Research Institute"
],
"timeframe": [
"2021-2022"
],
"datatype": [
"Dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | Through a comprehensive review of spatial planning strategies, the assessment conducted in 2022 by the UNHCR highlights critical insights on water supply access in refugee camps, exemplified in the "Kenya Refugee Camp Water Supply Asses... | {
"entities": {
"name": [
"Kenya Refugee Camp Water Supply Assessment 2022",
"Integrated Disease Surveillance System Records",
"Spatial Mapping of Refugee Camps in Northern Kenya",
"available survey data on water access and health outcomes"
],
"acronym": [
"KRCWSA"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | poverty levels, driven by socioeconomic disparities, remain a pressing concern in Colombia, particularly as highlighted by the National Socioeconomic Survey (NSS), a comprehensive survey produced by the Department of National Statistics... | {
"entities": {
"name": [
"National Socioeconomic Survey",
"household poverty assessment records"
],
"acronym": [
"NSS"
],
"producer": [
"Department of National Statistics of Colombia"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey",
"as... |
specificity: named | descriptive | vague usage: primary | supporting | background | Household consumption expenditure was analyzed through a series of Ordinary Least Squares (OLS) regression models that accounted for the spatial distribution of poverty indicators. The Gini coefficient served as a primary measure of inc... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping techniques incorporate the Brazilian Forest Monitoring System (BFMS), a comprehensive system developed by the Ministry of the Environment, Brazil, spanning from 2017-2021. This dataset enables precise geospatial assessments of f... | {
"entities": {
"name": [
"Brazilian Forest Monitoring System"
],
"acronym": [
"BFMS"
],
"producer": [
"Ministry of the Environment, Brazil"
],
"timeframe": [
"2017-2021"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"u... |
specificity: named | descriptive | vague usage: primary | supporting | background | Gini coefficient revealed a significant variance in consumption patterns across different income quartiles, suggesting a skewed distribution that could impact agricultural resource allocation. By applying an Ordinary Least Squares (OLS)... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Household consumption expenditure in relation to the spatial distribution of internally displaced persons (IDPs) highlights significant disparities across the region. Specifically, the Gini coefficient calculated for resource allocation... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial analysis of refugee camps in Kenya has increasingly revealed the complexities of ensuring adequate water supply and monitoring public health. The integration of the Kenya Refugee Health Monitoring System (KRHMS) provides a criti... | {
"entities": {
"name": [
"Kenya Refugee Health Monitoring System",
"Water Access and Sanitation Survey Data"
],
"acronym": [
"KRHMS"
],
"producer": [
"Kenya Ministry of Health"
],
"timeframe": [
"2019-2023"
],
"datatype": [
"System",
"Surv... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing disparities in living standards across regions have prompted a closer look at the factors influencing poverty metrics. The Central America Multidimensional Poverty Assessment 2022 (CAMPA 2022), produced by the United Nations ... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Assessment 2022",
"household consumption expenditure survey data"
],
"acronym": [
"CAMPA 2022"
],
"producer": [
"United Nations Development Programme (UNDP)"
],
"timeframe": [
"2022"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | The analysis of poverty indicators reveals a complex interplay between income levels and social safety nets in Colombia. While the National Socioeconomic Survey 2021 (NSC 2021), produced by the Department of National Statistics, Colombi... | {
"entities": {
"name": [
"National Socioeconomic Survey 2021",
"welfare assessment survey data"
],
"acronym": [
"NSC 2021"
],
"producer": [
"Department of National Statistics, Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey",
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | continuing from the observed trends in migration, the Mediterranean Migration Monitoring System (MMMS), produced by the European Union Agency for Fundamental Rights, has systematically tracked migration patterns between 2021 and 2023. T... | {
"entities": {
"name": [
"Mediterranean Migration Monitoring System",
"Asylum Seekers Registration Database",
"Cross-Border Movement Survey Data",
"Annual Report on Migration Flows in Southern Europe",
"Border Crossing Registration Records",
"Southern European Asylum Trends Re... |
specificity: named | descriptive | vague usage: primary | supporting | background | using the Sentinel-2 Soil Moisture Monitoring Dataset (S2SMD), a comprehensive database produced by the European Space Agency covering the period from 2015-2023, enabled detailed analyses of soil moisture variations across the region. T... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Dataset",
"Satellite Imagery for Agricultural Monitoring",
"historical satellite imagery available"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"timeframe": [
"2015-20... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasing numbers of border crossings have prompted regional governments to refine their response strategies to asylum seekers. The Southern European Asylum Seekers Registration Database (SEASRD), produced by the European Migration Net... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Migration Network"
],
"timeframe": [
"2020-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of diverse datasets has been pivotal in refining crop yield estimations in Ethiopia. For instance, the Ethiopian National Agricultural Survey 2022 (ENAS 2022), produced by the Ethiopian Agricultural Research Institute, p... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022",
"Normalized Difference Vegetation Index Data for Ethiopia",
"World Bank Ethiopia Crop Yield Report 2021",
"Local Crop Yield Survey Data",
"Historical Agricultural Production Records",
"Ethiopian Vegetation... |
specificity: named | descriptive | vague usage: primary | supporting | background | Household consumption patterns in Central America reveal significant insights when analyzed through the Central America Multidimensional Poverty Index Assessment (CAMPIA), which provides a comprehensive framework for understanding pover... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment"
],
"acronym": [
"CAMPIA"
],
"producer": [
"Central American Commission on Environment and Development"
],
"timeframe": [
"2021"
],
"datatype": [
"Assessment"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Utilizing the Nigeria Malaria Vector Surveillance Program (NMVSP) as a foundational surveillance system, a spatial overlay analysis was conducted to investigate the correlation between the geographic distribution of malaria vectors and ... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program",
"geospatial mapping of insecticide-treated bed nets coverage",
"available records from malaria control initiatives"
],
"acronym": [
"NMVSP"
],
"producer": [
"National Malaria Elimination Program,... |
specificity: named | descriptive | vague usage: primary | supporting | background | the localized distribution of insecticide-treated bed nets (ITNs) is critical in enhancing malaria prevention strategies in Nigeria. Recent data from the Nigeria Malaria Vector Surveillance Database (NMVSD), produced by the Nigerian Min... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Database"
],
"acronym": [
"NMVSD"
],
"producer": [
"Nigerian Ministry of Health"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the analysis of multidimensional poverty index (MPI) assessments reveals significant correlations with household consumption patterns across Central America. In particular, findings drawn from the Central American Household Consumption ... | {
"entities": {
"name": [
"Central American Household Consumption Survey 2021",
"household consumption expenditure survey data",
"recently collected records"
],
"acronym": [
"CAHCS 2021"
],
"producer": [
"Central America National Statistical Offices"
],
"timef... |
specificity: named | descriptive | vague usage: primary | supporting | background | insecticide-treated bed nets (ITNs) significantly influenced malaria incidence in localized regions. Preliminary findings indicate a critical correlation between the density of ITNs and the spatial distribution of malaria vectors, prima... | {
"entities": {
"name": [
"Nigerian Malaria Vector Surveillance System",
"geospatial mapping of insecticide-treated bed nets in Nigeria"
],
"acronym": [
"NMVSS"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2018-2021"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Identification of internally displaced persons (IDPs) in Yemen necessitates a multi-faceted approach employing advanced analytical techniques. The reliance on OLS regression models to determine the impact of various socio-economic facto... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators derived from the Colombian National Welfare Registry (CNWR) reveal significant disparities in welfare assessments across various regions. In 2021, the registry, produced by the Ministry of Social Protection, Colombia, served ... | {
"entities": {
"name": [
"Colombian National Welfare Registry"
],
"acronym": [
"CNWR"
],
"producer": [
"Ministry of Social Protection, Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Registry"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | for accurate assessment, the Germany Asylum Seeker Intake Database (GASID), produced by the Federal Office for Migration and Refugees, provides comprehensive tracking of asylum seekers from 2015-2023. The interplay between the GASID and... | {
"entities": {
"name": [
"Germany Asylum Seeker Intake Database",
"Administrative Refugee Processing Times Records",
"recently compiled administrative records"
],
"acronym": [
"GASID"
],
"producer": [
"Federal Office for Migration and Refugees"
],
"timeframe"... |
specificity: named | descriptive | vague usage: primary | supporting | background | as part of the ongoing research on poverty mapping, the integration of the Mobile Phone Usage and Poverty Index Study 2021 (MPUPI 2021) into the analysis provides a vital lens through which to understand wealth distribution across regio... | {
"entities": {
"name": [
"Mobile Phone Usage and Poverty Index Study 2021",
"call detail records for socioeconomic analysis"
],
"acronym": [
"MPUPI 2021"
],
"producer": [
"National Institute of Economic Research"
],
"timeframe": [
"2021"
],
"datatype"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the prevalence of extreme poverty in urban areas reflects inconsistencies in welfare assessments, particularly highlighted by the Colombian Household Survey on Poverty and Welfare (CHSPW), which was produced by the National Administrati... | {
"entities": {
"name": [
"Colombian Household Survey on Poverty and Welfare"
],
"acronym": [
"CHSPW"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | estimations rely on integrating both the normalized difference vegetation index (NDVI) and localized survey data to enhance accuracy in predicting agricultural outputs. For instance, the Ethiopian Agricultural Transformation Agency Crop... | {
"entities": {
"name": [
"Ethiopian Agricultural Transformation Agency Crop Yield Survey 2022"
],
"acronym": [
"EATACYS 2022"
],
"producer": [
"Ethiopian Agricultural Transformation Agency"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | in assessing the scope of social safety nets in Colombia, key indicators derived from the Colombian National Welfare Registry (CNWR) reveal critical insights into the welfare assessments conducted throughout the country. The CNWR, a reg... | {
"entities": {
"name": [
"Colombian National Welfare Registry"
],
"acronym": [
"CNWR"
],
"producer": [
"Ministry of Social Protection of Colombia"
],
"timeframe": [
"2021"
],
"datatype": [
"Registry"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | analysis reveals significant correlations between the multidimensional poverty index (MPI) assessments and household consumption patterns in Central America, particularly when drawing from the Central American Household Consumption and ... | {
"entities": {
"name": [
"Central American Household Consumption and Poverty Assessment"
],
"acronym": [
"CAHCPA"
],
"producer": [
"Central America Economic Commission"
],
"timeframe": [
"2021"
],
"datatype": [
"assessment"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | Estimates derived from the Mobile Phone Call Detail Records for Poverty Analysis (MP-CDR) database have become instrumental in mapping poverty levels across various regions. Utilizing data produced by the International Telecommunication... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Analysis",
"Mobile Network Operator Wealth Index Estimation Records",
"previously collected mobile communication records"
],
"acronym": [
"MP-CDR"
],
"producer": [
"International Telecommunication... |
specificity: named | descriptive | vague usage: primary | supporting | background | registration processes utilized by the United Nations High Commissioner for Refugees (UNHCR) are systematically cataloged within the UNHCR Refugee Registration System (URRS), which has been operational since 2015 and continues to evolve... | {
"entities": {
"name": [
"UNHCR Refugee Registration System",
"Lebanon Refugee Settlement Survey Data",
"Refugee Reception Historical Records",
"Jordan Refugee Census Data"
],
"acronym": [
"URRS",
"JRCD"
],
"producer": [
"United Nations High Commissioner ... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of the Ethiopian National Agricultural Survey 2022 (ENAS 2022) provides a crucial survey layer that enhances crop yield estimations. Utilizing vegetation index measurements from MODIS, which deliver high-resolution satel... | {
"entities": {
"name": [
"Ethiopian National Agricultural Survey 2022",
"vegetation index measurements from MODIS",
"recently compiled yield assessment records"
],
"acronym": [
"ENAS 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | However, leveraging the Mobile Phone Call Detail Records for Economic Analysis (MPCDR-EA) database, produced by the National Bureau of Statistics between 2019 and 2021, reveals significant patterns in poverty mapping. The integration of... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Economic Analysis",
"Telecommunications Usage and Poverty Correlation Data",
"Household Wealth Index from Mobile CDR Aggregates",
"Annual Telecommunication Records for Socioeconomic Research",
"Correlational Analysis of ... |
specificity: named | descriptive | vague usage: primary | supporting | background | marginally significant correlations emerged between the metrics of forest loss and carbon emissions in Brazil, particularly when utilizing the Brazilian Amazon Deforestation Monitoring Program (BADMP) as a baseline. The BADMP, a compreh... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring Program"
],
"acronym": [
"BADMP"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timeframe": [
"2010-2022"
],
"datatype": [
"report"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | border crossings remain a critical area of focus for understanding migration dynamics in Southern Europe. The Southern European Migration Monitoring System (SEMMS), produced by the European Union Agency for Fundamental Rights, provides ... | {
"entities": {
"name": [
"Southern European Migration Monitoring System"
],
"acronym": [
"SEMMS"
],
"producer": [
"European Union Agency for Fundamental Rights"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"System"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | indicators from the National Social Protection Survey 2021 (NSPS 2021) reveal significant trends in welfare assessments and social safety nets coverage in Colombia. Conducted by DANE, this survey provides crucial insights into the evolv... | {
"entities": {
"name": [
"National Social Protection Survey 2021",
"household welfare assessment data",
"Colombian Poverty Measurement Report 2020",
"community safety net coverage data",
"available poverty indicators",
"Colombia Social Safety Nets Evaluation 2019",
"hous... |
specificity: named | descriptive | vague usage: primary | supporting | background | throughout Yemen, the ongoing conflict has necessitated the continuous updating of the Yemen IDP Location Tracking Database (YLTDB), a comprehensive resource managed by the Yemen Humanitarian Response Team since 2023. This database prov... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Database",
"Displacement Monitoring Survey data",
"collected humanitarian assistance records"
],
"acronym": [
"YLTDB"
],
"producer": [
"Yemen Humanitarian Response Team"
],
"timeframe": [
"2023",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | aspects of social safety nets coverage have been extensively documented in the National Welfare and Poverty Assessment Database (NWAPAD), which is produced by the Colombian Ministry of Social Protection. The database, established in 202... | {
"entities": {
"name": [
"National Welfare and Poverty Assessment Database"
],
"acronym": [
"NWAPAD"
],
"producer": [
"Colombian Ministry of Social Protection"
],
"timeframe": [
"2020"
],
"datatype": [
"Database"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | evidence from the geospatial surveillance of malaria vectors in Nigeria (GSMV-NG) database highlights significant correlations between vector populations and the distribution of localized insecticide-treated bed nets. Data gathered from... | {
"entities": {
"name": [
"geospatial surveillance of malaria vectors in Nigeria"
],
"acronym": [
"GSMV-NG"
],
"producer": [
"Nigeria National Malaria Control Program"
],
"timeframe": [
"2021-2023"
],
"datatype": [
"database"
],
"specificity": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | increasingly, the analysis of poverty indicators in Colombia requires a comprehensive understanding of various welfare assessments and the coverage of social safety nets. Recent evaluations utilizing data from the Colombian Social Prote... | {
"entities": {
"name": [
"Colombian Social Protection Registry"
],
"acronym": [
"CSPR"
],
"producer": [
"National Department of Planning, Colombia"
],
"timeframe": [
"2022"
],
"datatype": [
"Registry"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the various indicators related to poverty and social welfare are critical for understanding the effectiveness of social safety nets in Colombia. The Colombian National Welfare Survey 2021 (CNWS 2021), produced by the National Administra... | {
"entities": {
"name": [
"Colombian National Welfare Survey 2021",
"household poverty assessment data",
"Social Protection System Coverage Report 2020",
"socioeconomic stratification records",
"Poverty Mapping Initiative 2019",
"available indicators on social safety nets",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations in the context of agricultural productivity have increasingly relied on integrating various data sources. For instance, the Vegetation Index Measurement Data, a comprehensive report, provided critical insights into the... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey 2022",
"Vegetation Index Measurement Data",
"historical yield records"
],
"acronym": [
"EAS 2022"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2022"
],
"datatype"... |
specificity: named | descriptive | vague usage: primary | supporting | background | assessments reveal significant disparities in poverty metrics across different regions. The Central America Multidimensional Poverty Index Survey (CAMPI), produced by the Central American Statistical Office in 2022, provides critical in... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Survey",
"household consumption expenditure survey data",
"Relevant survey data from previous studies"
],
"acronym": [
"CAMPI"
],
"producer": [
"Central American Statistical Office"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | for accurate monitoring of the asylum seeker intake in Germany, the Asylum Seeker Registration and Processing System (ASRPS) provides a crucial database maintained by the Federal Office for Migration and Refugees (BAMF) covering the per... | {
"entities": {
"name": [
"Asylum Seeker Registration and Processing System"
],
"acronym": [
"ASRPS"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"database"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | migration flows observed in Southern Europe necessitate a detailed examination of the various datasets available. The Mediterranean Migration Trends Database (MMTD), produced by the European Union Agency for Fundamental Rights, spans th... | {
"entities": {
"name": [
"Mediterranean Migration Trends Database",
"Border Crossing Registration Records",
"Asylum Seekers Tracking System",
"Southern Europe Migration Flow Reports",
"Cross-Border Mobility Data Collection",
"Available Migration Studies"
],
"acronym": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Spatial analysis of geolocation data indicated a significant correlation between the density of malaria vectors and the coverage of insecticide-treated bed nets in localized regions of Nigeria. Utilizing data from the Malaria Vector Sur... | {
"entities": {
"name": [
"Malaria Vector Surveillance Database"
],
"acronym": [
"MVSD"
],
"producer": [
"Nigeria Center for Disease Control (NCDC)"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Surveillance efforts to combat malaria in Nigeria have increasingly relied on comprehensive datasets such as the Nigeria Malaria Vector Surveillance Program 2022 (NMVSP-2022), which is a vital surveillance program produced by the Nation... | {
"entities": {
"name": [
"Nigeria Malaria Vector Surveillance Program 2022",
"geospatial mapping of insecticide-treated bed nets coverage"
],
"acronym": [
"NMVSP-2022"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2022"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Identifying critical flood corridors in urban Bangladesh necessitates comprehensive spatial analysis and accurate data integration. Utilizing the Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"High-Resolution Satellite Imagery for Urban Areas",
"Flood Risk Mapping Survey Data",
"Historical flood corridor information"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Developmen... |
specificity: named | descriptive | vague usage: primary | supporting | background | In the context of humanitarian operations, accurate location tracking of internally displaced persons (IDPs) is critical. The Yemen IDP Location Tracking Initiative (YLT), a comprehensive database produced by the United Nations Office f... | {
"entities": {
"name": [
"Yemen IDP Location Tracking Initiative"
],
"acronym": [
"YLT"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"us... |
specificity: named | descriptive | vague usage: primary | supporting | background | contributes significantly to advancements in precision agriculture, particularly through the utilization of high-resolution imagery obtained from the Sentinel-2 satellites. The integration of data derived from the Sentinel-2 Soil Moistu... | {
"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 | location of IDPs is a critical aspect of understanding humanitarian needs in Yemen, particularly given the complex socio-political landscape affecting access to assistance. The methodology employed^1 involves the use of Ordinary Least S... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | with the ongoing influx of refugees, the Jordan Refugee Registration System (JRRS), a database produced by UNHCR from 2015-2023, provides critical insights into the demographic profiles of registered individuals. The integration of refu... | {
"entities": {
"name": [
"Jordan Refugee Registration System",
"refugee settlement tracking records"
],
"acronym": [
"JRRS"
],
"producer": [
"UNHCR"
],
"timeframe": [
"2015-2023"
],
"datatype": [
"database"
],
"specificity": [
"nam... |
specificity: named | descriptive | vague usage: primary | supporting | background | analyzed through a combined approach that integrates data from multiple sources, specifically focusing on the **Asylum Seeker Registration Database (ASRD)**, which is maintained by the **Federal Office for Migration and Refugees (BAMF)*... | {
"entities": {
"name": [
"Asylum Seeker Registration Database",
"Refugee Intake Processing Records",
"historical asylum processing information"
],
"acronym": [
"ASRD"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"datatype": [
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | In the analysis, the implementation of ordinary least squares (OLS) regression models facilitated the exploration of various relationships between independent variables and agricultural productivity. Notably, the coefficients obtained i... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | Critical insights into the movements and needs of internally displaced persons (IDPs) in Yemen can be derived from the Yemen IDP Tracking System (YITS), a comprehensive database produced by the Yemen Humanitarian Response Coalition. Thi... | {
"entities": {
"name": [
"Yemen IDP Tracking System"
],
"acronym": [
"YITS"
],
"producer": [
"Yemen Humanitarian Response Coalition"
],
"timeframe": [
"2022-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"usage": ... |
specificity: named | descriptive | vague usage: primary | supporting | background | Localized insecticide-treated bed nets have proven effective in reducing malaria transmission; however, their impact is heavily influenced by the geospatial distribution of malaria vectors. An analysis of vector populations is crucial, ... | {
"entities": {
"name": [
"Malaria Vector Control and Bed Net Utilization Survey"
],
"acronym": [
"MVC-BNUS"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2023"
],
"datatype": [
"Survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | coverage across various demographics has been assessed using tools such as the National Socioeconomic Survey (NSES) 2021, a survey produced by DANE (National Administrative Department of Statistics) that provides critical insights into ... | {
"entities": {
"name": [
"National Socioeconomic Survey (NSES) 2021",
"household welfare assessment records"
],
"acronym": [
"NSES"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2021"
],
"datatype": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the correlation between mobile phone usage and wealth estimation has been substantiated through various methodologies, particularly utilizing the Mobile Phone Call Detail Record Poverty Index 2022 (MPCDR-2022) as a critical database pro... | {
"entities": {
"name": [
"Mobile Phone Call Detail Record Poverty Index 2022",
"mobile phone usage and socioeconomic status survey data",
"historical mobile tracking records"
],
"acronym": [
"MPCDR-2022"
],
"producer": [
"Global Development Lab"
],
"timeframe... |
specificity: named | descriptive | vague usage: primary | supporting | background | mapping of deforestation trends in Brazil has been facilitated by several key datasets, including the Brazilian Deforestation Monitoring System (BDMS), a system produced by the Instituto Nacional de Pesquisas Espaciais (INPE) covering t... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System (BDMS)",
"geospatial forest loss assessment data",
"historical carbon emissions records"
],
"acronym": [
"BDMS"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"timefra... |
specificity: named | descriptive | vague usage: primary | supporting | background | outlining the criticality of urban flood corridors in Bangladesh, Gini coefficient analysis provides insight into the disparity among informal settlements and their vulnerability to flooding. Ordinary Least Squares (OLS) regression mode... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | consumption patterns were further analyzed through a series of Ordinary Least Squares (OLS) regression models to elucidate the relationship between household expenditure and various socio-economic factors. Adjustments for confounding va... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | with the increasing relevance of accurate carbon stock estimations, the integration of remote sensing technologies has gained traction in ecological studies. The Global LiDAR Canopy Height Measurements 2022 (GLCHM 2022), a comprehensive... | {
"entities": {
"name": [
"Global LiDAR Canopy Height Measurements 2022"
],
"acronym": [
"GLCHM 2022"
],
"producer": [
"International Institute for Environment and Development"
],
"timeframe": [
"2022"
],
"datatype": [
"database"
],
"specificit... |
specificity: named | descriptive | vague usage: primary | supporting | background | factors influencing poverty levels are essential in understanding the effectiveness of social programs. The Colombian Household Welfare Assessment 2022 (CHWA 2022), produced by the National Administrative Department of Statistics (DANE)... | {
"entities": {
"name": [
"Colombian Household Welfare Assessment 2022",
"social safety net coverage statistics"
],
"acronym": [
"CHWA 2022"
],
"producer": [
"National Administrative Department of Statistics (DANE)"
],
"timeframe": [
"2022"
],
"datatyp... |
specificity: named | descriptive | vague usage: primary | supporting | background | loss of forest cover in Brazil has been a critical issue influencing both biodiversity and carbon emissions. According to recent analyses utilizing the Brazilian National Forest Cover Change Database (BNFCCD), produced by the Brazilian ... | {
"entities": {
"name": [
"Brazilian National Forest Cover Change Database"
],
"acronym": [
"BNFCCD"
],
"producer": [
"Brazilian Ministry of Environment"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the patterns of border crossings have significantly shifted in recent years, with a marked increase in the flow of asylum seekers entering Southern Europe. Data derived from the Southern Mediterranean Asylum Registration Database (SMARD... | {
"entities": {
"name": [
"Southern Mediterranean Asylum Registration Database",
"Border Migration Flow Statistics"
],
"acronym": [
"SMARD"
],
"producer": [
"European Union Asylum Agency"
],
"datatype": [
"Database",
"report"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Overlapping parameters were analyzed to ascertain the relationship between urban flood corridors and the prevalence of informal settlements in Bangladesh. Initial assessments utilized an Ordinary Least Squares (OLS) regression model to ... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | deprivation indicators within rural contexts often hinge on comprehensive datasets, exemplified by the National Sample Survey on Household Consumer Expenditure (NSS-HCE). This survey, produced by the Ministry of Statistics and Programme... | {
"entities": {
"name": [
"National Sample Survey on Household Consumer Expenditure"
],
"acronym": [
"NSS-HCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2017-2018"
],
"datatype": [
"S... |
specificity: named | descriptive | vague usage: primary | supporting | background | Measurements of canopy height have been integral to estimating carbon stocks across various ecosystems, particularly with the integration of advanced remote sensing technologies. The Global Forest Watch Canopy Height Dataset (GFW-CH) pr... | {
"entities": {
"name": [
"Global Forest Watch Canopy Height Dataset",
"Aerial LiDAR Canopy Height Survey Data",
"National Aerial Imagery Program (NAIP) LiDAR Collection",
"Forest Inventory and Analysis (FIA) Plot Measurements",
"LiDAR-based Canopy Height Metrics",
"Global Carb... |
specificity: named | descriptive | vague usage: primary | supporting | background | Yield estimations that integrate the normalized difference vegetation index (NDVI) provide a crucial lens through which to evaluate agricultural productivity, particularly in regions like Ethiopia. Utilizing data from the Ethiopian Agri... | {
"entities": {
"name": [
"Ethiopian Agricultural Survey of Crop Yields 2021"
],
"acronym": [
"EAS-CY 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"Survey"
],
"specificity": [
"named... |
specificity: named | descriptive | vague usage: primary | supporting | background | Critical aspects of refugee management in Jordan and Lebanon rely heavily on the integration of the Jordan Refugee Settlement Database (JRSD), a database produced by UNHCR covering the timeframe from 2021 to 2023. The efficiency of sett... | {
"entities": {
"name": [
"Jordan Refugee Settlement Database",
"refugee registration records",
"available information on refugee demographics"
],
"acronym": [
"JRSD"
],
"producer": [
"UNHCR"
],
"datatype": [
"Database",
"records"
],
"speci... |
specificity: named | descriptive | vague usage: primary | supporting | background | the identification of internally displaced persons (IDPs) remains crucial for the effectiveness of humanitarian assistance in Yemen. Recent findings indicate that the "Yemen IDP Location and Needs Assessment 2023" (YINDA) conducted by t... | {
"entities": {
"name": [
"Yemen IDP Location and Needs Assessment 2023"
],
"acronym": [
"YINDA"
],
"producer": [
"United Nations Office for the Coordination of Humanitarian Affairs (OCHA)"
],
"timeframe": [
"2023"
],
"datatype": [
"Assessment"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | spanning diverse demographics, the National Consumption Expenditure Survey (NCES) provides critical insights into household consumption patterns and deprivation levels in rural India. Conducted by the Ministry of Statistics and Programm... | {
"entities": {
"name": [
"National Consumption Expenditure Survey"
],
"acronym": [
"NCES"
],
"producer": [
"Ministry of Statistics and Programme Implementation, India"
],
"timeframe": [
"2018-2019"
],
"datatype": [
"Survey"
],
"specificity": [... |
specificity: named | descriptive | vague usage: primary | supporting | background | focusing on the economic dimensions of rural households, the **National Sample Survey on Consumption Expenditure 2019-20 (NSSCE)** serves as a pivotal source of information on consumption patterns. This comprehensive **survey**, produce... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure 2019-20"
],
"acronym": [
"NSSCE"
],
"producer": [
"Ministry of Statistics and Programme Implementation, Government of India"
],
"timeframe": [
"2019-2020"
],
"datatype": [
"Su... |
specificity: named | descriptive | vague usage: primary | supporting | background | expenditure levels, household structures, and patterns of deprivation are significantly captured through various datasets, particularly the National Sample Survey on Consumption Expenditure (NSSCE), a comprehensive survey produced by th... | {
"entities": {
"name": [
"National Sample Survey on Consumption Expenditure",
"Rural Household Consumption Expenditure Survey Data",
"India Rural Deprivation Records",
"recently collected household expenditure information"
],
"acronym": [
"NSSCE"
],
"producer": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the observed processing times for asylum seekers are significantly influenced by demographic variables, as indicated by the regression model applied to the German Asylum Seekers Administrative Records 2021 (GASAR 2021) database, produce... | {
"entities": {
"name": [
"German Asylum Seekers Administrative Records 2021"
],
"acronym": [
"GASAR 2021"
],
"producer": [
"Federal Office for Migration and Refugees (BAMF)"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity"... |
specificity: named | descriptive | vague usage: primary | supporting | background | the implications of the Central America Multidimensional Poverty Index Assessment 2022 (CAMPIA 2022) on household consumption patterns are increasingly evident, particularly in rural communities. The assessment produced by the Economic ... | {
"entities": {
"name": [
"Central America Multidimensional Poverty Index Assessment 2022"
],
"acronym": [
"CAMPIA 2022"
],
"producer": [
"Economic Commission for Latin America and the Caribbean (ECLAC)"
],
"timeframe": [
"2022"
],
"datatype": [
"Asses... |
specificity: named | descriptive | vague usage: primary | supporting | background | yield estimations leveraging vegetation indices such as the normalized difference vegetation index (NDVI) alongside localized survey data have demonstrated significant correlations with actual agricultural outputs. Notably, the integrat... | {
"entities": {
"name": [
"Ethiopia National Agricultural Survey 2021",
"localized crop yield survey data"
],
"acronym": [
"ENAS 2021"
],
"producer": [
"Ethiopian Ministry of Agriculture"
],
"timeframe": [
"2021"
],
"datatype": [
"survey",
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the model was refined using a regression analysis that integrated LiDAR data with aerial canopy height measurements. Specifically, the National Aerial LiDAR Canopy Height Index 2021 (NALCHI), a comprehensive database produced by the Env... | {
"entities": {
"name": [
"National Aerial LiDAR Canopy Height Index 2021"
],
"acronym": [
"NALCHI"
],
"producer": [
"Environmental Research Agency"
],
"timeframe": [
"2021"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | the regression model applied utilized several critical datasets to estimate the relationship between forest loss and carbon emissions. The analysis incorporated the Global Forest Watch Brazil Deforestation Dashboard (GFW-BD), a dashboar... | {
"entities": {
"name": [
"Global Forest Watch Brazil Deforestation Dashboard",
"Annual Deforestation Rates in the Brazilian Amazon",
"recent satellite imagery for forest cover assessment"
],
"acronym": [
"GFW-BD"
],
"producer": [
"World Resources Institute"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | gathering relevant statistics illustrates the challenges faced in managing asylum applications in Germany. The Federal Asylum Seeker Intake Database (FAST), produced by Bundesamt für Migration und Flüchtlinge (BAMF) during the timeframe... | {
"entities": {
"name": [
"Federal Asylum Seeker Intake Database",
"Administrative Refugee Processing Records",
"available asylum seeker intake statistics"
],
"acronym": [
"FAST"
],
"producer": [
"Bundesamt für Migration und Flüchtlinge (BAMF)"
],
"timeframe":... |
specificity: named | descriptive | vague usage: primary | supporting | background | quantitative insights indicate a persistent challenge regarding household consumption patterns and levels of deprivation in rural India. Analyzing data from the National Family Health Survey 5 (NFHS-5), produced by the Ministry of Healt... | {
"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 shown to significantly reduce malaria transmission, particularly when combined with comprehensive geospatial tracking of malaria vectors. The National Malaria Vector Surveillance System (... | {
"entities": {
"name": [
"National Malaria Vector Surveillance System"
],
"acronym": [
"NMVSS"
],
"producer": [
"Nigeria Ministry of Health"
],
"timeframe": [
"2018-2023"
],
"datatype": [
"System"
],
"specificity": [
"named"
],
"... |
specificity: named | descriptive | vague usage: primary | supporting | background | demonstrates a significant correlation between LiDAR-derived metrics and ground truth data. The analysis employed a regression model to determine the relationship between canopy height measurements extracted from the National LiDAR and ... | {
"entities": {
"name": [
"National LiDAR and Aerial Canopy Height Database"
],
"acronym": [
"NLACHD"
],
"producer": [
"National Remote Sensing Center"
],
"timeframe": [
"2018-2022"
],
"datatype": [
"Database"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | resulted in a robust linear regression model that accounted for both spatial and temporal variability in carbon stock estimates. The integration of the National LiDAR Data Collection Initiative (NLDI) database, produced by the National ... | {
"entities": {
"name": [
"National LiDAR Data Collection Initiative",
"aerial canopy height measurement survey data"
],
"acronym": [
"NLDI"
],
"producer": [
"National Oceanic and Atmospheric Administration (NOAA)"
],
"timeframe": [
"2018-2020"
],
"dat... |
specificity: named | descriptive | vague usage: primary | supporting | background | with reference to the Yemen IDP Location Tracking System (YITS), a comprehensive database developed by the Yemen Humanitarian Coordination Team, the spatial overlay analysis employs recent data to refine the understanding of displacemen... | {
"entities": {
"name": [
"Yemen IDP Location Tracking System"
],
"acronym": [
"YITS"
],
"producer": [
"Yemen Humanitarian Coordination Team"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"primary"
],
"geog... |
specificity: named | descriptive | vague usage: primary | supporting | background | The rapid expansion of deforestation in Brazil is corroborated by the Brazilian Deforestation Monitoring System (BDMS), a comprehensive system developed by the Institute of Environmental and Renewable Natural Resources (IBAMA) which spa... | {
"entities": {
"name": [
"Brazilian Deforestation Monitoring System",
"Geospatial Analysis of Forest Cover Loss",
"recently compiled satellite imagery"
],
"acronym": [
"BDMS"
],
"producer": [
"Institute of Environmental and Renewable Natural Resources (IBAMA)"
],... |
specificity: named | descriptive | vague usage: primary | supporting | background | factors influencing the efficacy of social safety nets in Colombia are tightly linked to recent data from the Colombian National Socioeconomic Survey 2022 (CNSE-2022), a comprehensive survey produced by DANE (National Administrative Dep... | {
"entities": {
"name": [
"Colombian National Socioeconomic Survey 2022"
],
"acronym": [
"CNSE-2022"
],
"producer": [
"DANE (National Administrative Department of Statistics)"
],
"timeframe": [
"2022"
],
"datatype": [
"Survey"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | cross-border migration patterns in Southern Europe highlight significant trends in asylum applications, particularly as recorded in the Southern European Asylum Seekers Registration Database (SEASRD). This comprehensive database, produc... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration Database"
],
"acronym": [
"SEASRD"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"Database"
],
"specificity": [
"named"
],
"usage": [
"primary... |
specificity: named | descriptive | vague usage: primary | supporting | background | the integration of satellite imagery with local environmental data reveals significant correlations between the rate of forest loss and carbon emissions in Brazil. Notably, the Brazilian Forest Monitoring Program (PRODES), a comprehensi... | {
"entities": {
"name": [
"Brazilian Forest Monitoring Program (PRODES)"
],
"acronym": [
"PRODES"
],
"producer": [
"Instituto Nacional de Pesquisas Espaciais (INPE)"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"p... |
specificity: named | descriptive | vague usage: primary | supporting | background | sufficiently, the use of regression models to correlate geospatial forest loss with carbon emissions in Brazil often overlooks critical variables such as household consumption expenditure. The application of Ordinary Least Squares (OLS)... | {
"entities": {
"name": []
},
"relations": []
} |
specificity: named | descriptive | vague usage: primary | supporting | background | indicative of spatial variations in wealth distribution across the region. The integration of mobile phone call detail records, particularly those from the Mobile Phone Call Detail Records for Poverty Assessment (CDR-PA), has proven ins... | {
"entities": {
"name": [
"Mobile Phone Call Detail Records for Poverty Assessment"
],
"acronym": [
"CDR-PA"
],
"producer": [
"Global Telecom Analytics Initiative"
],
"datatype": [
"database"
],
"specificity": [
"named"
],
"usage": [
"pri... |
specificity: named | descriptive | vague usage: primary | supporting | background | asylum seekers registering through the Southern European Asylum Seekers Registration System (SEASRS) reflect significant trends in migration flows across the region. The SEASRS, a comprehensive system produced by the European Union Agen... | {
"entities": {
"name": [
"Southern European Asylum Seekers Registration System",
"Migration Flow Analysis Reports"
],
"acronym": [
"SEASRS"
],
"producer": [
"European Union Agency for Asylum"
],
"datatype": [
"System",
"Report"
],
"specificity":... |
specificity: named | descriptive | vague usage: primary | supporting | background | spatial distribution of malaria vectors has been critically analyzed in the context of the Nigeria Malaria Vector Study 2022 (NMVS 2022), a comprehensive survey produced by the National Malaria Elimination Program, Nigeria, during the y... | {
"entities": {
"name": [
"Nigeria Malaria Vector Study 2022"
],
"acronym": [
"NMVS 2022"
],
"producer": [
"National Malaria Elimination Program, Nigeria"
],
"timeframe": [
"2022"
],
"datatype": [
"survey"
],
"specificity": [
"named"
... |
specificity: named | descriptive | vague usage: primary | supporting | background | Consequently, advancements in remote sensing technologies have enabled detailed assessments of soil moisture, which are crucial for effective agricultural management. The Sentinel-2 Soil Moisture Monitoring Database (S2SMD) produced by ... | {
"entities": {
"name": [
"Sentinel-2 Soil Moisture Monitoring Database",
"Satellite Imagery for Agricultural Monitoring"
],
"acronym": [
"S2SMD"
],
"producer": [
"European Space Agency"
],
"datatype": [
"Database",
"Imagery"
],
"specificity": [
... |
specificity: named | descriptive | vague usage: primary | supporting | background | of urban areas, leveraging a combination of datasets that enhance the understanding of flood vulnerabilities. The Urban Flood Risk Assessment Database (UFRAD), produced by the Bangladesh Water Development Board for the period of 2021-20... | {
"entities": {
"name": [
"Urban Flood Risk Assessment Database",
"Remote Sensing Imagery for Urban Flood Mapping",
"historical flood event records and informal settlement surveys"
],
"acronym": [
"UFRAD"
],
"producer": [
"Bangladesh Water Development Board"
],
... |
specificity: named | descriptive | vague usage: primary | supporting | background | notably influences carbon emissions across the region. The Brazilian Amazon Deforestation Monitoring System (BAMDS), produced by the National Institute for Space Research (INPE), spans a critical timeframe from 2010-2022, providing key ... | {
"entities": {
"name": [
"Brazilian Amazon Deforestation Monitoring System",
"Geospatial Forest Loss Data for Brazil",
"National Inventory of Greenhouse Gas Emissions",
"Landsat Satellite Imagery for Environmental Monitoring",
"Annual Deforestation Rate Reports",
"Forest Cover... |
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