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238 results for “vulnerability data”
Data from: Naiveté is not forever: responses of a vulnerable native rodent to its long term alien predators
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Data from: Temporal variability of a single population can determine the vulnerability of communities to perturbations
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Data from: The nest defence by the red-backed shrike (Lanius collurio) - support for the vulnerability hypothesis
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Data from: Towards a mechanistic understanding of vulnerability to hook-and-line fishing: boldness as the basic target of angling-induced selection
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Data from: Adapting in larger numbers can increase the vulnerability of Escherichia coli populations to environmental changes
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Data from: Spatiotemporal heterogeneity in prey abundance and vulnerability shapes the foraging tactics of an omnivore
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Data from: Can plan recommendations improve the coverage decisions of vulnerable populations in health insurance marketplaces?
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Data from: Global change on the Roof of the World: vulnerability of Himalayan otter species to land-use and climate alterations
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Genetic vulnerability to DUSP22 promotor hypermethylation is involved in the relation between in utero famine exposure and schizophrenia (DUTCHSCZ Data Set)
GEO Series GSE116378. Homo sapiens. 64 samples. Type: Methylation profiling by genome tiling array.
Genetic vulnerability to DUSP22 promotor hypermethylation is involved in the relation between in utero famine exposure and schizophrenia (CHINFAM Data Set)
GEO Series GSE116379. Homo sapiens. 153 samples. Type: Methylation profiling by genome tiling array.
Data from: Nocturnal flight-calling behaviour predicts vulnerability to artificial light in migratory birds
Understanding interactions between biota and the built environment is increasingly important as human modification of the landscape expands in extent and intensity. For migratory birds, collisions with lighted structures are a major cause of mortality, but the mechanisms behind these collisions are poorly understood. Using 40 years of collision records of passerine birds, we investigated the importance of species' behavioral ecologies in predicting rates of building collisions during nocturnal migration through Chicago, IL and Cleveland, OH, USA. We found that use of nocturnal flight calls is an important predictor of collision risk in nocturnally migrating passerine birds. Species that produce flight calls during nocturnal migration collided with buildings more than expected given their local abundance, whereas those that do not use such communication collided much less frequently. Our results suggest that a stronger attraction response to artificial light at night in species that produce flight calls may mediate these differences in collision rates. Nocturnal flight calls likely evolved to facilitate collective decision-making during navigation, but this same social behavior may now exacerbate vulnerability to a widespread anthropogenic disturbance. Our results also suggest that social behavior during migration may reflect poorly-understood differences in navigational mechanisms across lineages of birds.
Data from: Maternal effects in vulnerability to eye-parasites and correlations between behaviour and parasitism in juvenile Arctic charr
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Data from: Nocturnal flight-calling behaviour predicts vulnerability to artificial light in migratory birds
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West Africa Coastal Vulnerability Mapping: Demographic and Health Survey Data Sets
The West Africa Coastal Vulnerability Mapping: Demographic and Health Survey Data Sets present grids of maternal education levels and household wealth based on Demographic and Health Survey (DHS) cluster level data for ten West African countries. While the maternal education levels are comparable across countries, owing to different underlying indicators, the household wealth index is not. Education can directly influence risk perception, skills and knowledge and indirectly reduce poverty, improve health, and promote access to information and resources. When facing natural hazards or climate risks, educated individuals, households, and societies are assumed to be more empowered and more adaptive in their response to, preparation for, and recovery from disasters. Education is a key background indicator that helps contextualize a country's health and development situation. The household wealth index is a composite measure of a household's cumulative living standard. The wealth index is calculated using easy-to-collect data on a household's ownership of selected assets, such as televisions and bicycles, materials used for housing construction, and types of water access and sanitation facilities. Bayesian spatial interpolation methods were employed to create country level grids based on DHS cluster point data for each country. Data are from the following dates by country: Benin (2006), Cameroon (2011), Cote d'Ivoire (2012), Ghana (2008), Guinea (2012), Liberia (2011), Nigeria (2010), Sierra Leone (2008), and Togo (1998).
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).
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>
Data from: A Socio-technical Perspective on Software Vulnerabilities: A Causal Analysis
<p>This data package contains supplemental material data for the under review TSE submission: A Socio-technical Perspective on Software Vulnerabilities: A Causal Analysis. The restricted access requirement will be lifted upon approval of the manuscript.</p> <p>The comprehensive explanation of this dataset can be found at: https://sailuh.github.io/causal_commit_flow_docs</p> <p>The following briefly describes the contents of the folders. The analysis presented in the manuscript requires the following:</p> <ul> <li>Git Log </li> <li>Mailing List</li> <li>Software Vulnerabilities (NVD Feed)</li> </ul> <p>This data is provided to a mining software repository tool, Kaiaulu. The data specifications and configuration parameters are defined in the OpenSSL project configuration file (.yml), also included in this package. </p> <p>An R notebook in Kaiaulu, taking the dataset above + project configuration file, can then perform the first analysis step:</p> <p>https://github.com/sailuh/kaiaulu/blob/master/vignettes/issue_social_smell_showcase.Rmd</p> <p>The file 1_openssl_social_smells_timeline.csv is generated as an output of this R Notebook, and included in the causal_model folder of this package. The following files in this folder numbered 2 through 16, describe transformation steps using Excel, Python scripts, and Tetrad (also an open source tool). These are described conceptually in the manuscript, but in more detail in the comprehensive explanation of this dataset linked at the start. </p>
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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)
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.