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33 results for “Hazard assessment”
Predicted and experimental chemical and ecotoxicological properties for the toxic unit based hazard assessment
<p><strong>Description</strong></p> <p>This dataset contains ecotoxicity data of 1585 chemicals of environmental concern (CECs) and chemical identifiers. The ecotoxicity data was retrieved from <a href="https://cfpub.epa.gov/ecotox">US EPA ECOTOX Knowlegdebase</a> in ASCII file format and was aggregated for the ecotoxicity groups algae, crustaceans, and fish based on the ideas of <a href="https://dx.doi.org/10.1002/etc.3460">Busch et al. 2016</a>. The dataset includes the 5-percentile, the mean and the geomean of all retrieved ecotoxicity for each compound. Missing ecotoxicity data was estimated with ECOSAR 1.0 algorithms for green algae, daphnids, and fish using <a href="https://www.ufz.de/index.php?en=34593">ChemProp 6.8</a>. The main purpose of this dataset is the <a href="http://doi.org/10.1016/0043-1354(70)90018-7">toxic unit</a> (TU) based hazard assessment of environmental water samples. Chemical properties were estimated using <a href="https://github.com/kmansouri/OPERA">OPERA 2.7</a>, <a href="https://chemaxon.com/products/instant-jchem">Instant JChem</a>, and ACD Percepta 2015 based on QSAR-ready SMILES derived from OPERA 2.7. All data aggregated from EcoTox Knowledgebase (e.g., raw values, species, etc.) is available in the dataset in the detailed sheets. REcoTox, the processing script written in R is available on <a href="https://github.com/tsufz/REcoTox/releases/latest">GitHub</a>.</p> <p><strong>CAUTION</strong></p> <p>It needs to be emphasized that quantitative-structure activity relationship data is just an estimate, which does not necessarily reflect the real property and behaviour of a modelled compound. The calculated data needs to be reviewed in deep. Especially for non-polar or very polar compounds, the QSAR predictions might fail. If a compound ranks high in the TU ranking, it is required to search for literature or regulative data evidences to underpin the finding to avoid false positive prioritizations.</p> <p><strong>RELEASE NOTE</strong></p> <p>Version 210714_v1 was created with <a href="https://github.com/tsufz/REcoTox/releases/tag/v0.1.0">REcoTox version v0.1.0</a>.</p>
Dataset: Physical Vulnerability Database for Critical Infrastructure Hazard Risk Assessments
<p>The Physical Vulnerability Database for Critical Infrastructure Hazard Risk Assements is a database that contains fragility and vulnerability curves that can be used to evaluate the expected or potential damages to infrastructure assets due to flooding, earthquakes, windstorms and landslides. The database consists of three Excel-spreadsheets:</p> <ul> <li><em>Table_D1_Summary_CI_Vulnerability_Data:</em> summary table with information on hazard, exposure, and vulnerability characteristics as well as a number of details regarding reliability and reference purposes.</li> <li><em>Table_D2_Hazard_Fragility_and_Vulnerability Curves:</em> collection of fragility and vulnerability curves</li> <li><em>Table_D3_Costs:</em> cost values that can be used in combination with the curves for the estimation of asset damages</li> </ul> <p>Please consult the following publication for detailed information: Nirandjan, S., Koks, E. E., Ye, M., Pant, R., van Ginkel, K. C. H., Aerts, J. C. J. H., and Ward, P. J.: Review article: Physical Vulnerability Database for Critical Infrastructure Multi-Hazard Risk Assessments – A systematic review and data collection, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2023-208, in review, 2024.</p>
Data from: A robust model for the assessment of oil spill hazards over land and water bodies
<p>This repository contains all the data required to generate the results and figures reported in the article:</p> <p><strong>A robust model for the assessment of oil spill hazards over land and water bodies. </strong><br>Pablo Vallés, Sergio Martínez-Aranda, Reinaldo García & Pilar García-Navarro <br>Fluid Dynamic Technologies TFD-I3A, Universidad de Zaragoza, Spain, 2024</p> <p><strong>Author:</strong> Sergio Martínez Aranda<br><strong>Email: </strong>sermar@unizar.es</p> <p><strong>Summary of the content:</strong></p> <p>*FILE* BSLmodel_code.c : Implementation of the BSL model in the software OILFlow2D (Hydronia LLC)</p> <p>*ZIP-FOLDER* testOilChannel : Synthetic test 1: Oil spill over water channel with parabolic velocity profile<br> Contains:<br> *FILE* plotter2D.m : Matlab file for plotting the article figures<br> *FILE* readVTK_hu.m : Ad-hoc Matlab function for reading VTK files and extract arrays of x, y, h, modU variables at cells<br> *FOLDER* graphics : Contains the output figures for the article<br> *FILE* free_surface_profiles_impCent.mat : Matlab structure containing the water level results along the longitudinal center profile for all the cases tested<br> *FILE* vel_profiles_impCent.mat : Matlab structure containing the velocity results along the cross-section x=900m for all the cases tested<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics fields for the Bottom Shear Layer used in the simulations<br> *FOLDER* BSL_disabled : Folders containing the raw simulation results with the BSL model disabled <br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges <br> *FOLDERS* BSL_impCent_CdXpXXXX : Folders containing the raw simulation results with the BSL model enabled for different drag coefficients Cd<br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges<br> </p> <p>*ZIP-FOLDER* testOilBay : Synthetic test 2: Oil spill from land to a rotating water bay <br> Contains:<br> *FILE* plotter2D.m : Matlab file for plotting the article figures<br> *FILE* readVTK_zhvel.m : Ad-hoc Matlab function for reading VTK files and extract arrays of x, y, z, h, u, v variables at cells<br> *FOLDER* graphics : Contains the output figures for the article.<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics rotating fields, including VTK files, for the Bottom Shear Layer used in the simulations<br> *FOLDER* BSL_disabled : Folders containing the raw simulation results with the BSL model disabled <br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges <br> *FOLDERS* BSL_impCent_CdXpXXXX : Folders containing the raw simulation results with the BSL model enabled for different drag coefficients Cd<br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges<br> <br> <br>*ZIP-FOLDER* caseSpillTilenga : Realistic case: Oil spill hazard assessment in the White Nile - Tilenga Project <br> Contains:<br> *FILE* Qgis_project.qgz : Portable QGIS project for plotting the article figures<br> *FOLDER* geoData : Contains the georeferenced data used for the simulation setup<br> *FOLDER* images : Contains the output figures for the article<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics fields for the Bottom Shear Layer used in the simulations<br> *FOLDER* spills : Folders containing the OilFlow2D project files to perform the simulation of the six spill scenarios reported in the article <br> *FOLDERS* spill_XXX_XX : Folders containing raster files with the oil spreading results at different times for the six spill scenarios reported in the article </p>
Mass movement assessment: cascade hazards ratings, Andrews Experimental Forest, 1992
Debris flow hazard and susceptibility rating of the Lookout Creek drainage for less than third-order streams, includes susceptibility classification for stream-side landslides and slumps in Lookout Creek. This data is a first estimation, including unknown things such as distribution of thick colluvium along the stream.
Hazardous geological processes occurrence assessment for Transcarpathian region,_Ukraine
<p>Maps of hazardous geological processes specific occurrence by administrative districts for Transcarpathian region were produced by the Institute of Geological Sciences of the National Academy of Sciences of Ukraine based on the processing of materials from such institutions: State Service of Geology and Mineral Resources of Ukraine, Transcarpathian geological and hydrogeological center of the State Enterprise "Zakhidukrgeologiia" of the National Joint Stock Company "Nadra Ukrainy", Berehovo, State Geological Information Archive of Ukraine. In particular, maps of the distribution of hazardous geological processes with a scale of 1:100000 (by V. Barnychka, 1980) and a scale of 1: 200000 (by M. Gabor) for the period 1980-2010 were used, as well as data provided by V. Petryk ("Zakhidukrgeologiia", 1983-2001), and data from information yearbooks on the of hazardous exogenous geological processes activization for Ukraine territory according to monitoring of engineering and geological processes 2015-2018. The ranking principles for Transcarpathian region administrative districts due to the hazardous geological processes occurrence depended on type of process.</p>
Complex Lava Tube Networks Developed Within the 1792-93 Lava Flow Field on Mount Etna (Italy): Insights for hazard assessment Supporting Informations: Maps and sections of the lava tubes
<div> <div> <div> <p>This supporting information for the above paper submitted to Frontiers in Earth Science - Volcanology, comprises Table 1, as well as the maps and sections of the 8 lava tubes analyzed in this paper, that are located within the 1792-93 lava flow field at Etna volcano. The methods used for the new surveys of the lava tubes are also explained.</p> </div> </div> </div>
Data Repository: 2022 Hawai'i Cesspool Hazard Assessment & Prioritization Tool
<p>Data Repository, Codebase, inputs and Results for the Hawaii Cesspool Prioritization Tool. A project conducted by University of Hawaii Sea Grant and Water Resources Research Center, Data updated October 2022. </p> <p>Please see also: <br> https://github.com/cshuler/Act132_Cesspool_Prioritization</p> <p>and </p> <p>https://health.hawaii.gov/wastewater/files/2022/11/prioritizationtoolreport.pdf</p> <p> </p> <p> </p>
The HELPOS Fault Database: a new contribution to seismic hazard assessment in Greece
<p>In seismically-active regions such as Greece, the mapping of active faults is a key step to assess seismic hazards and evaluate deterministic ground motion scenarios for infrastructure works, pipeline designs and other constructions of critical importance. Here, we present a comprehensive database of active onshore and offshore faults in Greece based on existing studies and GIS geospatial mapping using geological, geophysical, seismological and geomorphological criteria. The design and population of the database follows the NOAFaults concept <a href="http://doi.org/10.5281/zenodo.3483136">http://doi.org/10.5281/zenodo.3483136</a> and development in ARCGIS environment. The HELPOS database includes over 550 faults with simplified (linear) traces and lengths between 8 – 108 km (onshore part) together with their corresponding 2D rupture planes. Additional information includes parametric data such as maximum expected magnitude, slip rate, length, width, strike, dip angle, last seismic event, rupture depth (to top-fault) and fault kinematics. A particular aim of the HELPOS Fault database has been an update of the seismic sources model for the seismic hazard assessment of Greece considering shallow earthquakes, which involves modeling surface fault traces in terms of seismic sources at depth. The fault database is a major contribution to HELPOS with applications among others in volcano-tectonic settings, urban planning, paleoseismology, landscape processes, and in the study of active tectonics, deformation and interactions between overriding plate (Aegean) faults and the Hellenic subduction.</p> <p><strong>In this version of the database (v1.8) we include the onshore fault traces and rupture planes and the offshore fault traces</strong>.</p> <p>We acknowledge funding by project "HELPOS - Hellenic Plate Observing System” (MIS 5002697) which was funded by the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014-2020) and co-financed by Greece and the European Union (European Regional Development Fund).</p>
Quantifying the erasure of earthquake surface ruptures from desert landscapes: Implications for seismic hazard assessment
<p><strong>Original Landscapes</strong></p> <p>DEMs of ~120x140m landscapes clipped from:</p> <p>R1-10 = 2019 M7.1 Ridgecrest earthquake, 2019 lidar (Hudnut et al., 2020), and </p> <p>E1-10 = 2010 M7.2 El Mayor-Cucapah earthquake, 2010 lidar (OpenTopography, 2010).</p> <p>Example: "E5.asc"</p> <p> </p> <p><strong>Degraded Landscapes</strong></p> <p>Linearly diffused using <em>Landlab </em>(Hobley et al., 2017; Barnhart et al., 2020) at timesteps (100, 1000, 5000, 10000 yr) using a <em>k</em> of 1 m^2/kyr.</p> <p>Example: "e5_1000_001_eroded.asc"</p> <p> </p> <p><strong>Mapped Faults Shapefiles </strong>- E1_10_shps & R1_10_shps</p> <p>Faults mapped on each degraded landscape using a systematic mapping process (Scott et al., 2023; Adam, 2023)</p> <p> </p> <p><strong>Ridgecrest DEM</strong> - rc_7_1_0424_utm.tif</p> <p>0.014 m/pix DEM of a portion of the 2019 M7.1 Ridgecrest earthquake rupture, from 6 April 2024. Created from Structure from Motion using drone images. </p> <p> </p> <p><strong>Degradation and analysis python code</strong> - landscape_evolution_earthquake_ruptures-main.zip</p> <p>A set of scripts to simulate the effect of surface processes on surface ruptures and quantify the information loss associated with landscape evolution over time. Includes options to simulate surface processes with linear and non-linear diffusion, implemented using open-access code landlab.</p> <p> </p> <p><strong>References</strong></p> <p>Adam, R. (2023). Evaluation of remote mapping of active fault traces. Arizona State University.</p> <p>Barnhart, K.R., Hutton, E.W.H., Tucker, G.E., Gasparini, NM., Istanbulluoglu, E., Hobley, D.E.J., Lyons, N.J., Mouchene, M., Nudurupati, S.S., Adams, J.M., Bandarogoda, C., 2020, Short communication: Landlab v2.0: A software package for Earth surface dynamics: Earth Surface Dynamics Discussions, doi: 10.5194/esurf-2020-12.</p> <p>Hobley, D.E.J., Adams, J.M., Nudurupati, S.S., Hutton, E.W.H. Gasparini, N.M., Istanbulluoglu, E., and Tucker, G.E., 2017, Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics: Earth Surface Dynamics, v. 5, n. 1, p. 21-46, doi: 10.5194/esurf-5-21-2017.</p> <p>Hudnut, K.W., B. Brooks, K. Scharer, J.L. Hernandez, T.E. Dawson, M.E. Oskin, R. Arrowsmith, C.A. Goulet, K. Blake, M.L. Boggs, S. Bork, C.L. Glennie, J.C. Fernandez-Diaz, A. Singhania, D. Hauser, S. Sorhus (2020). 2019 Ridgecrest, CA Post-Earthquake Lidar Collection. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9W0942Z.. Accessed: 2024-11-25 </p> <p>Opentopography; El Mayor-Cucapah Earthquake (4 April 2010) Rupture LiDAR Scan. Distributed by OpenTopography. https://doi.org/10.5069/G9TD9V7D . Accessed: 2024-11-25</p> <p>Scott, C., Adam, R., Arrowsmith, R., Madugo, C., Powell, J., Ford, J., Gray, B., Koehler, R., Thompson, S., Sarmiento, A., Dawson, T., Kottke, A., Young, E., Williams, A., Kozaci, O., Oskin, M., Burgette, R., Streig, A., Seitz, G., … Ingersoll, S. (2023). Evaluating how well active fault mapping predicts earthquake surface-rupture locations. Geosphere. https://doi.org/10.1130/GES02611.1</p>
Data for 'Global Assessment of Interannual Hazard Variability in Coastal Urban Areas and Ecosystems'
<p>This dataset supports Odériz et al. (2024). 'Global Assessment of Interannual Hazard Variability in Coastal Urban Areas and Ecosystems'</p>
Assessment of Natural Radioactivity Levels and Estimation of Radiological Hazards in Building Materials Commonly Used in Ethiopian Constructions.
<p>Natural radionuclide activity concentrations were measured in ceramic, gypsum, and brick samples from manufacturers, dealers, and construction sites in and around Addis Ababa, Ethiopia, using an HPGe detector. The study's main objectives were to assess the building material activity and health impacts. Average activity concentrations (Bq.kg<sup>-1</sup>) for <sup>226</sup>Ra in ceramic, gypsum, and brick samples were obtained as 81.19 ± 1.88, 1.34 ± 0.17, and 39.83 ± 1.21, respectively. Respective values of <sup>232</sup>Th were obtained as 166.12 ± 4.20, 0.68 ± 0.18, and 103.71 ± 3.29 and concentrations of <sup>40</sup>K were found to be 755.06 ± 16.10,15.42 ± 1.97, and 921.22 ± 24.90, respectively. Some of the materials that were tested, especially the ceramic sample, had slightly higher concentrations of radionuclides. In all samples except ceramic, Ra<sub>eq </sub>was < 370 Bq.kg<sup>-1</sup>, which is the recommended limiting dose for bulk medium. Furthermore, the corresponding radiological parameters, absorbed dose, annual effective dose equivalent, excess lifetime cancer risk (ELCR), internal (H<sub>in</sub>) and external (H<sub>ex</sub>) hazard indexes, gamma index (Iγ), and alpha index (Iα) were determined. The ELCR average values in this study are slightly higher than the global average, and the indoor and outdoor absorbed dose rates are greater than the limiting criteria of 84 and 59 nGyh<sup>-1</sup>. Therefore, especially for ceramic samples, it is important to assess their radiation potential and should be utilized in a controlled manner to decrease gamma exposure to inhabitants. Finally, the computed data could be used as a baseline to look at any radiological contamination caused by construction materials in the future.</p>
Probabilistic Fault Displacement Hazard Assessment materials
<p>The models, data, and information provided here were created as part of the Fault Displacement Hazard Initiative. We provide the Electronic Supplement for Chiou et al., 2023, CDF Fortran subroutines; the ArcGIS least-cost path (LCP) model and implementation guide, LCP MATLAB and Python scripts, and the LCP for 75 events in a shapefile and KMZ format for Thomas et al., 2023; and the Fortran code for Chiou et al. in review for Earthquake Spectra. </p>
Spatial slip rate distribution along the SE Xianshuihe fault, eastern Tibet, and earthquake hazard assessment
<p><strong><em>Table 2: </em></strong><em><sup>10</sup></em><em>Be surface-exposure ages of Zheduotang (ZDT) and Moxi (MX) sites of the SE Xianshuihe fault.</em></p>
Measurements of Natural Radioactivity and Radiological Hazards Assessment in Some Commercial Ceramic Tiles used in Ethiopia.
<p>Ceramic tile is a widely used decorative building material. The natural radionuclideconcentration ( 226 Ra, 232 Th, and 40 K) of ceramic wall and floor tiles typically used in Ethiopia was determined using an HPG detector. The study&#39;s goals are to determine the activity concentration of ceramic tiles as well as evaluate their health-related effects. The average activity concentrations of 226 Ra, 232 Th, and 40 K were 68.06 ± 2.07 Bq kg -1 , 131.19 ± 3.82 Bq kg -1 , and 802.04 ± 23.41 Bq kg -1 , respectively, which was found to be greater than the global mean. The calculated average value of Raeq was &lt; 370 Bq kg -1 , which is the limiting dose recommended for bulk medium. In addition, the related radiological hazard metrics, such as absorbed dose, annual effective dose equivalent, excess lifetime cancer risk (ELCR), internal (H in ) and external (H ex ) hazard indexes, gamma index (I γ ), and alpha index (I α ), were determined. The findings were contrasted with regional, global,and national legal frameworks as well as other similar studies&#39; findings. According to the results, using the examined ceramic tiles in buildings does not significantly increase radiation exposure.</p>
Assessing and managing environmental hazards of polymers: historical development, science advances and policy options
<p>Supporting information (open data) from Assessing and managing environmental hazards of polymers: historical development, science advances and policy options</p>
Historical flood reconstruction in a torrential alpine catchment (Saltina, Brig, Swiss Alps) and its implication for flood hazard assessments
<p>EXCEL has three sheets :</p> <p>1. Pas flood description</p> <p>2. Past Engineering</p> <p>3. Hydraulic modeling flood discharge (1331 to 1965) and systematic discharge from 1966 to 2020.</p> <p> </p> <p>Word has two pictures</p> <p> </p> <p>1. past old maps (1331,1888,1938,2017)</p> <p>2. Walls, check dam, and lifting bridge</p>
Quantitative Assessments of the Liquefaction Hazard of Soils considering Possible Strong Earthquakes in Seismically Active Regions of Russia
<p>Initial data for RESEARCH ARTICLE "Quantitative Assessments of the Liquefaction Hazard of Soils considering Possible Strong Earthquakes in Seismically Active Regions of Russia "</p>
African Climate Hazard Assessment; The impacts of climate change and the vulnerability of African nations
<p>The ACHA Index assesses the vulnerability to climate hazards for African nations. The uploaded datasets include the final index rankings as well as the individual aggregations of each hazard.</p>
Hazardous Surgical Smoke: Risk Assessment and Evaluation of a New Smoke Extractor System in the Surgical Unit
ClinicalTrials.gov study NCT03924206. IPD Sharing: NO. Countries: 1. Publications: 2.
Multivariate hazard assessment for nonstationary seasonal flood extremes considering climate change
<p>Processed streamflow data used to create the plots shown in the paper ("Multivariate hazard assessment for nonstationary seasonal flood extremes considering climate change" published on JGR_A) for reproducibility</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.