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Dataset results
33 results for “social vulnerability”
COPD and Socially Vulnerable Individuals
ClinicalTrials.gov study NCT04754308. IPD Sharing: NO. Countries: 1. Publications: 1.
INcreasing the Uptake of DSMES Program and Addressing Social Needs in Low-Income VulneRablE Immigrants
ClinicalTrials.gov study NCT07296211. IPD Sharing: YES. Countries: 1. Publications: 0.
Global Patterns of Gene Expression Associated with Vulnerability and Resilience to Social Defeat
GEO Series GSE8870. Mus musculus. 18 samples. Type: Expression profiling by array.
Selective Vulnerability of Parvocellular Oxytocin Neuron in Social Dysfunction
GEO Series GSE245555. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Qualitative Study Among Migrant and Socially Vulnerable Populations on Their Interest in Collective Approaches to Health Promotion.
ClinicalTrials.gov study NCT07174154. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Chronic Pain and Social Vulnerability: Prevalence and Predictive Factors of the Social Vulnerability in Evaluation and Treatment of the Pain Center (CETD)
ClinicalTrials.gov study NCT02171936. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Trauma and Truth Interventions (NET) Versus Conflict Resolution and Social Skills Trainings for Vulnerable Youths in Northern Uganda
ClinicalTrials.gov study NCT00893750. IPD Sharing: Not stated. Countries: 1. Publications: 0.
At-risk and vulNerable Individuals To Infection With COVID-19 and ProActive inTervention With intEgrated Health and Social Care
ClinicalTrials.gov study NCT05197608. IPD Sharing: NO. Countries: 1. Publications: 0.
Rejection Sensitivity and Puberty in Mental Health Vulnerability to Social Media Experiences in Early Adolescent Girls
ClinicalTrials.gov study NCT06777823. IPD Sharing: YES. Countries: 1. Publications: 0.
West Africa Coastal Vulnerability Mapping: Social Vulnerability Indices
The West Africa Coastal Vulnerability Mapping: Social Vulnerability Indices data set includes three indices: Social Vulnerability, Population Exposure, and Poverty and Adaptive Capacity. The Social Vulnerability Index (SVI) was developed using six indicators: population density (2010), population growth (2000-2010), subnational poverty and extreme poverty (2005), maternal education levels circa 2008, market accessibility (travel time to markets) circa 2000, and conflict data for political violence (1997-2013). Because areas of high population density and growth (high vulnerability) are generally associated with urban areas that have lower levels of poverty and higher degrees of adaptive capacity (low vulnerability), to some degree, the population factors cancel out the poverty and adaptive capacity indicators. To account for this, the data set includes two sub-indices, a Population Exposure Index (PEI), which only includes population density and population growth; and a Poverty and Adaptive Capacity Index (PACI), composed of subnational poverty, maternal education levels, market accessibility, and conflict. These sub-indices are able to isolate the population indicators from the poverty and conflict metrics. The indices represent Social Vulnerability in the West Africa region within 200 kilometers of the coast.
2021 Social Vulnerability Assessment at the Civil Parish Level in Mainland Portugal
<p>The dataset represents Social Vulnerability (SV) and its main drivers, at the civil parish, in mainland Portugal, using the 2021 Census data. This assessment was conducted under the scope of the concluded FCT-funded project “HIGH WATERS – Assessment of scenarios of exposure and social vulnerability to sea level rise for sustainable land use” (EXPL/GES-AMB/1246/2021), whose objectives are: to identify hazardous areas in relation to SLR by applying and downscaling global models for forecasting SNM; to diagnose land use land cover (LULC) changes with focus on build-environments over the last 20 years and project them to mid- and long-term scenarios; to diagnose exposure, vulnerability (both physical & social) and coping capacity and project them to the end of the century; to build mid and long-term municipality SLR risk profiles and identify its main driving forces; to propose a roadmap for SLR adaptation regarding mid- and long-term land use planning strategies.</p> <p>As an intermediate product, an SV assessment was carried out to the entire mainland area, following the statistical approach of the SoVI<sup>©</sup> and incorporating variables descriptive of the support capability of the territory, following the theoretical principles defined by Cutter et al. (2003), Mendes et al. (2011), Mendes, Tavares and Santos (2019).</p> <p>The dataset is a polygonal vector in the ESRI shapefile format and, additionally to the shapefile, includes two documents with methodological notes, PCA results and metadata. The shapefile contains the scores of social vulnerability and the scores of the extracted 8 principal components (PCs) that represent the following dimensions: PC1 - Age and old urban context; PC2 - Overcrowded dwellings; PC3 – Unemployment; PC4 - Socioeconomic status; PC5 – Mobility; PC6 - Social risk groups; PC7 - Housing conditions; PC8 - Women and foreign residents with unqualified jobs.</p> <p>References</p> <p>Cutter, S.L., Boruff, B.J. and Shirley, W.L. (2003), “Social vulnerability to environmental hazards”, Social Science Quarterly, Vol. 84 No. 2, pp. 242-261, <a href="https://doi.org/10.1111/1540-6237.8402002">https://doi.org/10.1111/1540-6237.8402002</a> .</p> <p>Mendes, J.M., Tavares, A., Cunha, L. and Freiria, S. (2011), “Social vulnerability to natural and technological hazards: the relevance of scale”, in Briš, R., Soares, C.G. and Martorell, S. (Eds), Reliability, Risk and Safety, Theory and Applications, CRC Press, Taylor and Francis Group, Leiden, pp. 445-451.</p> <p>Mendes, J.M., Tavares, A.O. and Santos, P.P. (2019), "Social vulnerability and local level assessments: a new approach for planning", International Journal of Disaster Resilience in the Built Environment, Vol. 11 No. 1, pp. 15-43. <a href="https://doi.org/10.1108/IJDRBE-10-2019-0069">https://doi.org/10.1108/IJDRBE-10-2019-0069</a></p>
Addressing Social Vulnerabilities in Cardiovascular Disease
ClinicalTrials.gov study NCT03613064. IPD Sharing: NO. Countries: 0. Publications: 0.
U.S. Social Vulnerability Index Grids, Revision 01
The U.S. Social Vulnerability Index Grids, Revision 01 data set contains gridded layers for the overall Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) using four sub-category themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) based on census tract level inputs from 15 variables for the years 2000, 2010, 2014, 2016, 2018, and 2020. SVI values range between 0 and 1 based on their percentile position among all census tracts in the U.S., with 0 representing lowest vulnerability census tracts and 1 representing highest vulnerability census tracts. SEDAC has gridded these vector inputs to create 1 kilometer spatial resolution raster surfaces allowing users to obtain vulnerability metrics for any user-defined area within the U.S. Utilizing inputs from CIESIN's Gridded Population of the World, Version 4 (GPWv4) Revision 11 data sets, a mask is applied for water, and optionally, for no population. The data are provided in two different projection formats, NAD83 as a U.S. specific standard, and WGS84 as a global standard. The goal of the SVI is to help identify vulnerable commUnities by ranking them on these inputs across the U.S.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.