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81 results for “vulnerability assessment”
Climate vulnerability assessment of the Espeletia complex on Páramo sky islands in the northern Andes
Open the record for dataset details and reuse information.
Assessment of Diet and Stress Effects on Ocular Vulnerability in Rodent Models of Traumatic Brain Insults using a Multi-Omics Approach
GEO Series GSE243996. Rattus norvegicus. 72 samples. Type: Expression profiling by array.
Dataset used to assess the vulnerability of chondrichthyan fishes of the Eastern Tropical Pacific to climate change
<p><span>Information and data on ETP chondrichthyan species distribution, life history, ecology, and physiology were gathered from the IUCN Red List, FishBase, published literature, unpublished data/grey literature, and expderts advice.</span></p>
BRAVO: Biomarker Risk Assessment in Vulnerable Outpatients
ClinicalTrials.gov study NCT02276781. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Morphological and Serological Criteria of Plaque Vulnerability: Risk Assessment for Symptomatic and Asymptomatic Carotid Artery Stenosis
ClinicalTrials.gov study NCT02124928. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of Vulnerability to Carotid Stenosis by MultiModal Imaging and Cellular and Molecular Biology Analysis
ClinicalTrials.gov study NCT05190510. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Carotid Artery Plaque Vulnerability Assessment Using Ultrafast Ultrasound Techniques
ClinicalTrials.gov study NCT05218421. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Assessing the Impact of Varenicline on Brain-Behavior Vulnerability
ClinicalTrials.gov study NCT00895557. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Investigation of Multiple Ultrasound Techniques for the Assessment of Carotid Plaque Vulnerability
ClinicalTrials.gov study NCT04530721. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Metabolic and Structural Characterization of Hub's Vulnerability in Neurological Diseases Assessed by Ultra High Field Structural and Functional MRI
ClinicalTrials.gov study NCT03039166. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of Plaque Vulnerability Using a Novel Technique: Multi-spectral PhotoAcoustic Imaging.
ClinicalTrials.gov study NCT04763603. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Technology to Assess Vulnerable Older Adults With Cancer and Their Caregivers
ClinicalTrials.gov study NCT02041416. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque
ClinicalTrials.gov study NCT06186336. IPD Sharing: NO. Countries: 1. Publications: 0.
Phase IV, a Clinical Trial to Assess Safety and Convenience of the Change From DTG/3TC to BIC/FTC/TAF in People With HIV, Good Virological Control and Neuropsychiatric Vulnerabilities
ClinicalTrials.gov study NCT05549180. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Synthetic Assessment of Global Distribution of Vulnerability to Climate Change: Maps and Data, 2005, 2050, and 2100
The Synthetic Assessment of Global Distribution of Vulnerability to Climate Change: Maps and Data, 2005, 2050, and 2100 data set consist of maps and vulnerability index to climate change of 100 countries based on the Vulnerability-Resilience Indicator Model (VRIM), which not only presents sensitivity to climate change stresses but allows the division of indicators into components that reflects sensitivity and adaptive capacity. It was produced in collaboration with the Wesleyan University, Joint Global Change Research Institute, University of Illinois and the Columbia University Center for International Earth Science Information Network (CIESIN).
Reality Check: Assessing The Limits of GPT-4 in Fixing Real-World Software Vulnerabilities [Online Appendix]
<p>Online appendix for the paper entitled "Reality Check: Assessing The Limits of GPT-4 in Fixing Real-World Software Vulnerabilities"</p><p>This package includes</p><ul><li>The used prompts in our prompt engineering workflow.</li><li>Detailed results of our pilot evaluation</li><li>Results from the paper</li></ul>
Figure 14 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 14. Map of distribution records for Oxystoglossella of the A. morrae and A. iphigenia species groups: (A) A. antonita, A. morrae, A. obidensis sp. nov. and A. thalia; (B) A. brevipilosa sp. nov., A. cymatoides, A. erubescens and A. laevinota sp. nov.; (C) A. iphigenia, A. matucanensis and A. phoenicis.
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>
Physiological traits assessment and RNAseq data analysis revealed a high vulnerability of Setaria viridis to salt compared to its close relative Spartina alterniflora
GEO Series GSE146718. Sporobolus alterniflorus; Setaria viridis. 12 samples. Type: Expression profiling by high throughput sequencing.
Code for Quantitative Assessment of Factors Influencing Heat Vulnerability in Residential Areas using Machine Learning and UAV Data
<div> <div>Author: Ja Woon Gu</div> <div>Email: umseakind2@kwater.or.kr</div> <div>Date: 2024-07-22</div> <div>Version: 1.0</div> <br> <div>Description:</div> <div>This script compares multiple regression models using GridSearchCV and RepeatedKFold cross-validation.</div> <div>The script identifies the best performing model based on the mean cross-validation score (neg_mean_squared_error).</div> <div>It performs residual analysis including normality, homoscedasticity, and autocorrelation checks.</div> <br> <div>Models included:</div> <div>- DecisionTreeRegressor</div> <div>- ExtraTreesRegressor</div> <div>- AdaBoostRegressor</div> <div>- XGBRegressor</div> <div>- LGBMRegressor</div> <div>- CatBoostRegressor</div> <div>- RandomForestRegressor</div> <div>- GradientBoostingRegressor</div> <br> <div>The best model's feature importances are calculated and plotted.</div> <div>Residuals are analyzed using Shapiro-Wilk, Levene's, and Durbin-Watson tests.</div> </div>
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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.