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15 results for “disaster resilience”
Datasets supporting the paper 'Enhancing disaster risk resilience using greenspace in urbanising Quito, Ecuador'
<p>Datasets supporting the paper 'Enhancing disaster risk resilience using greenspace in urbanising Quito, Ecuador'</p> <p>Contact: C. Scott Watson. c.s.watson@leeds.ac.uk</p> <p>DRR_greenspace<br> DRR_greenspace_polygon.shp - classified potential DRR greenspace (minimum 100 m2)<br> DRR_greenspace_zone_points.shp - classified potential DRR greenspace aggregated to zones<br> DRR_greenspace_zone_polygons_top10.shp - Top 10 maximum capacitated analysis of classified potential DRR greenspace aggregated to zones.<br> <br> Land_cover<br> rf_1986_mode_clipped.tif - 1986 land cover classification<br> rf_2020_mode_clipped.tif - 2020 land cover classification<br> landcover_classes.PNG - land cover classes<br> accuracy_assessment_points_1986 - 1986 land cover accuracy assessment points<br> accuracy_assessment_points_2020 - 2020 land cover accuracy assessment points<br> modified_urban_growth_scenario.shp - hazard-modified urban growth scenario</p> <p> </p>
Constructing a Comprehensive Disaster Resilience Index: The case of Italy
<p>The file contains raw data used to construct disaster resilience index for Italian municipalities.</p>
Disaster Resilient and Self-Assessing Multifunctional Transportation Structures
<p>Corresponding data set for Tran-SET Project No. 18STTAM02. Abstract of the final report is stated below for reference:</p> <p>"This research designs and characterizes multifunctional materials, in particular inexpensive shape memory alloys, for transportation structures that possess excellent mechanical properties and self-sensing capabilities for strengthening and health monitoring. The properties are the Fe-SMAs are sensitive to part size in that the grain size of the material, which can be grown to several inches, should exceed the smallest dimension of the part. In the current work, maximum part size of the large dimension Fe-SMA rods were determined through detailed microstructural investigations. Samples were subjected to abnormal grain growth heat treatments and found out that part size be increased up to 4.6 mm. Work to correlate computational and experimental work concerning the magnetic sensing of Fe-SMA transformation was conducted using via tensile loading of Fe-SMA wire. A model was developed to simulate a grain by grain transformation of a wire with large (4mm) grains along the wire, modeled as partitioned segments."</p>
Estimating Disaster Resilience of Hurricane Helene on Florida Counties
<p><strong>The Disaster Resilience Index (DRI) was calculated for each county along the path of Hurricane Helene in Florida.</strong></p>
Data from: Patterns and limitations of urban human mobility resilience under the influence of multiple types of natural disaster
Natural disasters pose serious threats to large urban areas, therefore understanding and predicting human movements is critical for evaluating a population's vulnerability and resilience and developing plans for disaster evacuation, response and relief. However, only limited research has been conducted into the effect of natural disasters on human mobility. This study examines how natural disasters influence human mobility patterns in urban populations using individuals' movement data collected from Twitter. We selected fifteen destructive cases across five types of natural disaster and analyzed the human movement data before, during, and after each event, comparing the perturbed and steady state movement data. The results suggest that the power-law can describe human mobility in most cases and that human mobility patterns observed in steady states are often correlated with those in perturbed states, highlighting their inherent resilience. However, the quantitative analysis shows that this resilience has its limits and can fail in more powerful natural disasters. The findings from this study will deepen our understanding of the interaction between urban dwellers and civil infrastructure, improve our ability to predict human movement patterns during natural disasters, and facilitate contingency planning by policymakers.
RESILIENT - An Online Multidimensional Treatment to Promote Resilience After a Disaster: Randomized Controlled Trial Protocol
ClinicalTrials.gov study NCT04808713. IPD Sharing: Not stated. Countries: 1. Publications: 2.
In Nursing Students, The Effect of Disaster Nursing Training Program on General Disaster Preparedness Belief State, Disaster Response Self-Efficiency and Psychological Resilience
ClinicalTrials.gov study NCT04874337. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Data from: Patterns and limitations of urban human mobility resilience under the influence of multiple types of natural disaster
Open the record for dataset details and reuse information.
Constructing a comprehensive disaster resilience index: The case of Italy
<p>Measuring disaster resilience is a key component of successful disaster risk management and climate change adaptation. Quantitative, indicator-based assessments are typically applied to evaluate resilience by combining various indicators of performance into a single composite index. Building upon extensive research on social vulnerability and coping/adaptive capacity, we first develop an original, comprehensive disaster resilience index (CDRI) at municipal level across Italy, to support the implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030. As next, we perform extensive sensitivity and robustness analysis to assess how various methodological choices, especially the normalisation and aggregation methods applied, influence the ensuing rankings. The results show patterns of social vulnerability and resilience with sizeable variability across the northern and southern regions. We propose several statistical methods to allow decision makers to explore the territorial, social and economic disparities, and choose aggregation methods best suitable for the various policy purposes. These methods are based on linear and non-liner normalization approaches combining the OWA and LSP aggregators. Robust resilience rankings are determined by relative dominance across multiple methods. The dominance measures can be used as a decision-making benchmark for climate change adaptation and disaster risk management strategies and plans.</p>
The Efficacy of a Brief Resilience Training Program for Hurricane Sandy Disaster Responders
ClinicalTrials.gov study NCT02417051. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Climate-Resilient Disaster Preparedness Education to Improve Knowledge and Skills in Nursing Students: A Quasi-Experimental Study
ClinicalTrials.gov study NCT07139262. IPD Sharing: YES. Countries: 0. Publications: 5.
The Impact of ICN Disaster Nursing Core Competency Training on Disaster Preparedness and Psychological Resilience
ClinicalTrials.gov study NCT07263568. IPD Sharing: YES. Countries: 1. Publications: 0.
Are Older Adults Prepared to Respond to Disasters? Psychological First Aid on Dignity-Related Distress, Social Frailty, and Psychological Resilience
ClinicalTrials.gov study NCT06787703. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Effect of Virtual Reality Use on Disaster Literacy, Disaster Readiness and Disaster Resilience
ClinicalTrials.gov study NCT06565962. IPD Sharing: NO. Countries: 1. Publications: 0.
Psychological Resilience and Disaster Preparedness
ClinicalTrials.gov study NCT06542081. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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.