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33 results for “social vulnerability”
Characterisation of Social Vulnerability to the environmental hazard of heat in Logroño, and the surrounding La Rioja region in Spain, derived from national census and EU Copernicus datasets.
<p>This dataset includes all input information for indicators that were used to derive social vulnerability and the overall processed data of the social vulnerability index score for Logroño, and the surrounding La Rioja region, Spain. The input variables used in this dataset come from the national census data for Spain and EU Copernicus data.</p> <div> <p>The social vulnerability indicators used in these datasets are based on research including a review of existing literature and the interpretation of factors affecting social vulnerability. Interpretation of some indicators are contestable and open to debate.</p> </div>
Characterisation of Social Vulnerability to the environmental hazard of flooding in Cork City and County, Ireland, derived from national census and EU Copernicus datasets.
<p>This dataset includes all input information for indicators that were used to derive social vulnerability and the overall processed data of the social vulnerability index score for the region of Cork, Ireland. The input variables used in this dataset come from the national census data for Ireland and EU Copernicus data.</p> <div> <p>The social vulnerability indicators used in these datasets are based on research including a review of existing literature and the interpretation of factors affecting social vulnerability. Interpretation of some indicators are contestable and open to debate.</p> </div>
Characterisation of Social Vulnerability to the environmental hazard of heat in Milan, derived from national census and EU Copernicus datasets
<p>This dataset includes all input information for indicators that were used to derive social vulnerability and the overall processed data of the social vulnerability index score for the region of Milan, Italy. The input variables used in this dataset come from the national census data for Italy and EU Copernicus data.</p> <p>The social vulnerability indicators used in these datasets are based on research including a review of existing literature and the interpretation of factors affecting social vulnerability. Interpretation of some indicators are contestable and open to debate.</p>
Multiscale Social Vulnerability in U.S.
<p>Social vulnerability indices created using the SoVI (2016) recipe for the U.S. using multiple data resolutions and index construction extents for 2018-2021. Indices were created in R using an automated construction script that can be found at <a href="https://github.com/katesnelson/MultiscalarSVI">https://github.com/katesnelson/MultiscalarSVI</a>. </p> <p>The data and accompanying manuscript are published at </p> <p>Nelson, K. S. (2025). Where scale matters for social vulnerability indices: a multiyear analysis of the US. <em>International Journal of Disaster Risk Reduction</em>, 105513. <a href="https://doi.org/10.1016/j.ijdrr.2025.105513">https://doi.org/10.1016/j.ijdrr.2025.105513</a></p>
Social and Heat Vulnerability Indices in Phoenix, Arizona
Vulnerability indices and maps are commonly employed by researchers and practitioners to assess hazard risk by combining variables that are theoretically or empirically associated with hazard outcomes and spatially visualizing those combined variables. For this dataset, we followed established methods to produce two vulnerability indices for 358 census tracts in the City of Phoenix, Arizona for the year 2016: the all-hazards Social Vulnerability Index (SoVI) and a specific hazards Heat Vulnerability Index (HVI). For SoVI, we compiled 27 social variables from the 2012-2016 American Community Survey (ACS); for HVI, we compiled seven social variables from the 2012-2016 ACS, one variable regarding residential air conditioning prevalence from the Maricopa County Assessor’s Office, and two variables related to vegetation density from Landsat 8 remote sensing imagery. Lastly, we conducted principal components analysis on each of the indices respective variables and then summed the resulting component scores for each census tract to produce the index values which we then spatially joined to the Phoenix census tracts.
An empirical social vulnerability map for flood risk assessment at global scale ('GlobE-SoVI')
<p>These data were produced as part of the study "An empirical social vulnerability map for flood risk assessment at global scale ('GlobE-SoVI')" (in press in Earth's Future, https://doi.org/10.1029/2023EF003895). We provide raster data at 30 arc seconds spatial resolution (folder 'raster') and vector and table data per administrative unit (folder 'admin') of five social vulnerability variables and the final Global Empirical Social Vulnerability Index (GlobE-SoVI) calculated from the five variables. Please see 'overview_table.pdf' for names and units.</p> <p>The code for data processing and analysis is available at https://github.com/lena-reimann/GlobE-SoVI (https://doi.org/10.5281/zenodo.10671539).</p>
Social vulnerability to flooding in Ecuador : input variables, PCA vs Expert composite indices
<p><strong>Social vulnerability indices are used to better understand and predict the consequences of disasters, and support the development of improved disaster management policies. This research specifically supports the Ecuadorian Red Cross in generating a flood-specific social vulnerability index to inform flash flood early action protocol.</strong></p> <p>The dataset presents the results from the analysis of the social vulnerability to flooding in Ecuador, from individual input variables to the composite indices outputs. The results are available at the Parroquia level in Ecuador (admin level 3), for 1032 Parroquia excluding the Galapagos Islands.</p> <ul> <li>The dataset comprises, for each Parroquia, the estimation of <strong>15 variables characterizing the social vulnerability to flooding specific to Ecuador context</strong>. The variables are selected from literature review and consultation with Ecuadorian Red Cross disaster practitioners : <em>Disability, Poverty incidence, Gini Index, Agricultural labor share, Vectorborne disease incidence, Waterborne disease incidence, Social Security affiliation, Education level, Sanitation, Driking water access, Power access, Road travel time, Wall structure, Mobile access and Internet access.</em> All variables are normalized from 0 to 1, directed toward increasing vulnerability, and renamed accordingly.</li> <li>In addition, the <strong>Administrative level names, PCODE, calculated Area, population density,</strong> as well as related <strong>sub-regions</strong> are also referenced.</li> <li>Individual variables are integrated into <strong>composite vulnerability indices</strong>, using two different approaches: i) the Principal Component Analysis approach, using the first component <strong>PCA(n=1) </strong>and the first 5 components <strong>PCA(n=5)</strong> separately ; ii) the <strong>expert judgement weighting</strong> of the variables. The output composite indices, normalized from 0 to 1 are presented in 3 separated columns.</li> </ul> <p> </p>
Spatiotemporal impacts of ideology and social vulnerability on COVID-19 for the United States
<p><span>In early 2020, the Coronavirus Disease 19 (COVID-19) rapidly spread across the United States, exhibiting significant geographic </span><span>variability. While several studies have examined the predictive relationships of differing factors on COVID-19 deaths, few have </span><span>looked at spatiotemporal variation at refined geographic scales. The objective of this analysis is to examine county-level </span><span>spatiotemporal variation of COVID-19 deaths in association with socioeconomic, health, demographic, and political factors, </span><span>using regionalized multivariate regression as well as nationwide geographically weighted random forest (GWRF) models. </span><span>Regionalized regression results across three time windows—pandemic onset until May 2021, May 2021 through November </span><span>2021, and December 2021 until April 2022—suggest that existing measures of social vulnerability for disaster preparedness </span><span>(SVI) are associated with a higher degree of mortality from COVID-19. In comparison, GWRF models provide a more robust </span><span>evaluation of feature importance and prediction, exposing the importance of local features, such as obesity, which is obscured </span><span>by regional delineation. Overall, GWRF results indicate this more nuanced modeling strategy is useful for capturing the diverse </span><span>spatial and temporal nature of the COVID-19 pandemic.</span></p>
Dataset: Surface waters in socially vulnerable areas are disproportionately under-monitored for nutrients in the U.S. South Atlantic-Gulf Region
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Supplementary data for Development of Indicators of Social Vulnerability and Fishing Reliance in English Coastal Communities
<p>Supplementary data for Development of Indicators of Social Vulnerability and Fishing Reliance in English Coastal Communities by Tom Gibson, Chloe Lucas and Angela Muench. Full details are available via the publication and details of folder and file structures are available in the ReadMe file. </p>
Data for: Social-ecological vulnerability of fishing communities to climate change: a U.S. West Coast case study
<p><span>Climate change is already impacting coastal communities, and ongoing and future </span><span>shifts in fisheries species productivity from climate change have implications for the </span><span>livelihoods and cultures of coastal communities. Harvested marine species in the </span><span>California Current Large Marine Ecosystem support U.S. West Coast communities </span><span>economically, socially, and culturally. Ecological vulnerability assessments exist for </span><span>individual species in the California Current but ecological and human vulnerability are </span><span>linked and vulnerability is expected to vary by community. Here, we present </span><span>automatable, reproducible methods for assessing the vulnerability of U.S. West Coast </span><span>fishing-dependent communities to climate change within a social-ecological </span><span>vulnerability framework. We first assessed the ecological risk of marine resources, on </span><span>which fishing communities rely, to 50 years of climate change projections. We then </span><span>combined this with the adaptive capacity of fishing communities, based on social </span><span>indicators, to assess the potential ability of communities to cope with future changes. </span><span>Specific communities (particularly in Washington state) were determined to be at risk to </span><span>climate change mainly due to economic reliance on at risk marine fisheries species, </span><span>like salmon, hake, or sea urchins. But, due to higher social adaptive capacity, these </span><span>communities were often not found to be the most vulnerable overall. Conversely, </span><span>certain communities that were not the most at risk, ecologically and economically, </span><span>ranked in the category of highly vulnerable communities due to low adaptive capacity </span><span>based on social indicators (particularly in Southern California). Certain communities </span><span>were both ecologically at risk due to catch composition and socially vulnerable (low </span><span>adaptive capacity) leading to the highest tier of vulnerability. The integration of climatic, </span><span>ecological, economic, and societal data reveals that factors underlying vulnerability are </span><span>variable across fishing communities on the U.S West Coast, and suggests the need to </span><span>develop a variety of well-aligned strategies to adapt to the ecological impacts of climate </span><span>change.</span></p>
Supplementary material of article Mining disaster in Brumadinho (Brazil): social vulnerability from the perspective of the fisherman community
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Addressing Social Determinants of Health & Diabetes Self-Management in Vulnerable Populations
ClinicalTrials.gov study NCT03802825. IPD Sharing: NO. Countries: 1. Publications: 2.
Data for: Social-ecological vulnerability of fishing communities to climate change: a U.S. West Coast case study
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Agriculture-urban interfaces, social vulnerability, and climate change shape West Nile virus risk across the United States
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Heat Death Associations with the built environment, social vulnerability and their interactions with rising temperature
The occurrence of extreme heat events in the American Southwest are expected to become more frequent and severe and it is more important to understand which neighborhoods and populations are at risk of negative heat-health outcomes. Vulnerability to heat is a function of its heat exposure, population characteristics, and adaptive capacity. This study focuses on underlying socioeconomic and demographic characteristics that contribute to this vulnerability. The contributions of these factors to heat mortality in Maricopa County, AZ were explored and used to identify areas where vulnerable populations exist.
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996). in Muridae
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996).
Mindfulness-Based Stress Reduction for Psycho-socially Vulnerable Pregnant Women.
ClinicalTrials.gov study NCT05300646. IPD Sharing: NO. Countries: 1. Publications: 1.
Validation of a Screening Tool for Social and Health Vulnerability in Pediatric Clinical Practice
ClinicalTrials.gov study NCT03640715. IPD Sharing: Not stated. Countries: 1. Publications: 1.
An Adapted Mindfulness-based Stress Reduction Program for Psycho-socially Vulnerable Pregnant Women.
ClinicalTrials.gov study NCT04571190. IPD Sharing: NO. Countries: 1. Publications: 22.
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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)
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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.