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81 results for “Poverty”
The paradox of food production, consumption, poverty and malnutrition in Tanzania
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Data from: Mental illness, poverty and stigma in India: a case control study
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Age and poverty status alter the coding and noncoding transcriptome
GEO Series GSE123500. Homo sapiens. 32 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Age and poverty status alter the coding and noncoding transcriptome [White]
GEO Series GSE123497. Homo sapiens. 16 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Poverty shapes the transcriptome of immune cells
GEO Series GSE221766. Homo sapiens. 408 samples. Type: Expression profiling by high throughput sequencing.
FINANCING FOR POVERTY ERADICATION WAYS IN UZBEKISTAN
<p><em><span>Financing poverty eradication is a critical global challenge that requires innovative and sustainable approaches to address the multifaceted nature of poverty. This paper explores the diverse financing mechanisms essential for effective poverty alleviation, including public funding, private sector investment, and international aid. It highlights the role of microfinance, social impact bonds, and public-private partnerships in mobilizing resources to support marginalized communities. Additionally, the paper examines the importance of integrating financial inclusion strategies and leveraging technology to enhance access to financial services for the poor. By analyzing successful case studies and identifying best practices, this study aims to provide a comprehensive framework for policymakers and stakeholders to enhance their efforts in eradicating poverty. Ultimately, the findings underscore that a collaborative and inclusive financing strategy is crucial for achieving sustainable development goals and fostering economic resilience among vulnerable populations.</span></em></p>
Persistent Poverty Counties Pregnant Women With Medicaid
ClinicalTrials.gov study NCT05415371. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pathways to Empowerment for Persons Living in Persistent Poverty
ClinicalTrials.gov study NCT05336097. IPD Sharing: NO. Countries: 1. Publications: 0.
Screening for Poverty and Related Social Determinants to Improve Knowledge of and Links to Resources (SPARK) Pilot Study
ClinicalTrials.gov study NCT04211025. IPD Sharing: NO. Countries: 1. Publications: 0.
Age and poverty status alter the coding and noncoding transcriptome [African American]
GEO Series GSE123499. Homo sapiens. 16 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
The Association between Poverty and Gene Expression within Immune Cells in a Diverse Baltimore City Cohort
GEO Series GSE149256. Homo sapiens. 52 samples. Type: Expression profiling by array.
Poverty Mapping Project: Global Subnational Infant Mortality Rates
The Poverty Mapping Project: Global Subnational Infant Mortality Rates data set consists of estimates of infant mortality rates for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), and a tabular data set of the same and associated data. Over 10,000 national and subnational Units are represented in the tabular and grid data sets, while the shapefile uses approximately 1,000 Units in order to protect the intellectual property of source data sets for Brazil, China, and Mexico. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
West Africa Coastal Vulnerability Mapping: Gridded Subset of Sub-national Poverty and Extreme Poverty Prevalence
The West Africa Coastal Vulnerability Mapping: Gridded Subset of Sub-national Poverty and Extreme Poverty Prevalence represents the HarvestChoice Subnational Poverty and Extreme Poverty Prevalence data set as a one kilometer raster, and includes values within 200 kilometers of the coast. Poverty levels affect the "defenselessness" of populations in the low elevation coastal zone. These data were developed by the Harvest Choice project funded by the Bill and Melinda Gates Foundation. Harvest Choice measured 2005 poverty levels using 2005 purchasing power parity data for two thresholds: $1.25/day and $2/day international poverty lines. The $2/day threshold was selected for this mapping exercise.
Poverty Mapping Project: Poverty and Food Security Case Studies
The Poverty Mapping Project: Poverty and Food Security Case Studies data set consists of small area estimates of poverty, inequality, food security and related measures for subnational administrative Units in Mexico, Ecuador, Kenya, Malawi, Bangladesh, Sri Lanka, Nigeria and Vietnam. These data come from country level cases studies that examine poverty and food security from a spatial analysis perspective. The data products include shapefiles (vector data) and tabular data sets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and Centro Internacional de Agricultura Tropical (CIAT). The data set was originally produced by CIAT, International Maize and Wheat Improvement Center (CIMMYT), International Livestock Research Institute (ILRI), International Food Policy Research Institute (IFPRI), International Rice Research Institute (IRRI), International Water Management Institute (IWMI), and International Institute for Tropical Agriculture (IITA).
Poverty Mapping Project: Small Area Estimates of Poverty and Inequality
The Poverty Mapping Project: Small Area Estimates of Poverty and Inequality data set consists of consumption-based poverty, inequality and related measures for subnational administrative Units in approximately twenty countries throughout Africa, Asia, Europe, North America, and South America. These measures are derived on a country-level basis from a combination of census and survey data using small area estimates techniques. The collection of data have been compiled, integrated and standardized from the original data providers into a unified spatially referenced and globally consistent data set. The data products include shapefiles (vector data), tabular data sets (csv format), and centroids (csv file with latitude and longitude of a geographic Unit and associated poverty estimates). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with a number of external data providers.
Poverty Mapping Project: Global Subnational Prevalence of Child Malnutrition
The Poverty Mapping Project: Global Subnational Prevalence of Child Malnutrition data set consists of estimates of the percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO International Reference Population. Data are reported for the most recent year with subnational information available at the time of development. The data products include a shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of underweight children under five (the rate numerator), and a tabular data set of the same and associated data. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
FIGURES 1–4. Figures 1, 2 in Notes on the diatom collection of the Natural History Museum, London (BM) IX: Campylodiscus hardmanianus, with a discussion on synapomorphy and the poverty of molecular monophyly
FIGURES 1–4. Figures 1, 2: Reproduction of Campylodiscus hardmanianus Grev. ex Deby, Figure 1 from Deby (1891: 680-9), Figure 2 from Deby (1891: pl. 15, fig. 78). Figures 3, 4: Greville's (unpublished) hand-written description of Campylodiscus hardmanianus.
INCIDENCE OF POVERTY AND GOVERNMENT EXPENDITURE IN NIGERIA: AN EMPIRICAL INVESTIGATION
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Screening for Poverty And Related Social Determinants to Improve Knowledge of and Links to Resources (SPARK)
ClinicalTrials.gov study NCT04461080. IPD Sharing: YES. Countries: 0. Publications: 0.
A Dataset and supplementary materials for the article ''Energy poverty and fiscal ressource'' submited in International Tax and Public Finance.
<p>We have two version of dataset, excel and stata with the supplementary materials of the articles which contain colour figures and tables.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.