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562 results for “faulting”
Data from: Transmission line data of different fault instances retrieved through Phasor Measurement Unit (PMU)
<p>This study presents a dataset comprising time series data pertaining to different electrical grid scenarios, encompassing both fault-free instances and occurrences of short circuits. The dataset was meticulously created by simulating various fault scenarios using the ePMU DSA tools and Matlab Simulink. To capture these scenarios, a Phasor Measurement Unit (PMU) was deployed on a transmission line simulation model. Given the impracticality and potential risks associated with generating actual faults in a real power grid, this approach of simulating faulty scenarios through advanced tools has proven to be a reliable and effective methodology in the field of electrical grid studies. The resulting dataset offers valuable insights into power grid behavior during both normal and faulted conditions, thereby serving as a valuable resource for researchers and practitioners in the domain of power systems and fault analysis.</p>
Offshore active faults associated with the 2020 Masbate earthquake investigation
<p>This dataset includes the vector files of the offshore active fault traces mapped using acoustic sub-bottom profiling and interpretation of archived seismic profiles. The acoustic sub-bottom profiling survey was conducted in March and June 2021. The archived seismic profiles were acquired from the Department of Energy (DOE) of the Philippine government. </p>
Source data figures Diverse Slip behaviour on Velocity-Weakening fault segments
<p>txt data files for figures 3, 4 and 5 displayed on manuscript Diverse Slip behaviour on Velocity-Weakening fault segments</p>
In-situ stress data set of Xianshuihe fault zone, Southwest China.
<p>306 sets of in situ stress data were collected from 48 sites on the Xianshuihe fault zone, used in literature and reports from 1982 to 2022. The detailed data of the in-situ stress include Stress value、Direction、Depth、Longitude、Latitude, Testing method, and the data source. Of these, the in-situ stress measurement methods include hydraulic fracturing, stress relief, acoustic emission, and stress recovery.</p>
Codes and data for: Spatial Relationships between Coseismic Slip, Aseismic Afterslip, and On-fault Aftershock Density in Continental Earthquakes
<p>This code is an accompanyment to the paper: Spatial Relationships between Coseismic Slip, Aseismic Afterslip, and On-fault Aftershock Density in Continental Earthquakes. The code serves to allow reproduction of figures in the paper, and the repository also serves as a store for the data analysed. Readers are welcome to edit/adapt/incorporate the code freely, but please cite our paper. Use of, or reference to, any of the datasets included here should also be accompanied by a reference to the original source (i.e. the work by the original authors), which can be found in our paper.</p> <p>The code should be run sequentially and is not unbreakable, please take care. The methods outlined in the paper give a guide to the workflow, please contact me should you have additional questions.</p> <p>DATA (also referenced in the accompanying paper):</p> <ul> <li>Seismic catalogs are provided pre-processed in the folder 'catalogs'. These originate from: <ul> <li>The Northern California Earthquake Catalog (NCEC) (Waldhauser & Schaff, 2008; Waldhauser, 2009)</li> <li>The California Integrated catalog by the Southern California Seismic Network (SCSN) (SCEDC, 2013)</li> <li>The International Seismological Centre Bulletin (ISC)</li> </ul> </li> <li>Slip models (coseismic slip and afterslip) are provided in the folder 'SlipModels': <ul> <li>Many of these are availible freely online and are referenced in the accompanying paper</li> <li>Additional coseismic slip models are availible from the SRCMOD database (Mai & Thingbaijam, 2014)</li> <li>Chris Rollins (the El Mayor Cucapah afterslip paper) and Daniele Cheloni (the L'Aquila afterslip paper) were kind enough to allow me to include their models in this repository.</li> </ul> </li> </ul> <p>Again, we thank the following individuals who provided, or helped find, coseismic and afterslip models: Roland B ̈urgmann, Daniele Cheloni, Nicola D’Agostino, Semih Ergintav, Wangpeng Feng, Elizabeth Hearn, Junle Jiang, Fred Pollitz, Chris Rollins, Elisa Trasatti, Kang Wang, Sam Wimpenny, and Han Yue.</p> <p> </p>
Data Set of selected strong motion parameters and Fourier Amplitude Spectra for the East Anatolian Fault Zone, Türkiye (January 2019 - February 2024)
<p>This product represents a high-quality Data Set useful for seismological studies in the East Anatolian Fault Zone, Türkiye and is addressed to the community that study the seismic source and ground motion.</p> <p>The dataset considers 9,442 events in a magnitude range Ml from 2.0 to 5.5. The period covered by the dataset includes seismicity between January 1, 2019 and February 29, 2024 for a total of 270,704 seismic phases (148,223 P and 122,481 S). In addition to the earthquake catalog, the dataset includes selected strong motion parameters such as selected Peak Ground Acceleration (PGA), Peak Ground Velocity (PGV), as well as Fourier Amplitude Spectra (FAS).</p> <p>The dataset is distributed through the following tables, which are descrived in the "Table of contents" below.</p> <ul> <li><strong>events_catalog.csv</strong> is the file of earthquake;</li> <li><strong>stations.csv </strong>is the file of stations;</li> <li><strong>PGA_PGV.csv </strong>is the file of PGA and PGV;</li> <li><strong>FAS.tar.gz </strong>is the folder which contains (in .csv format) the 98 FAS from 0.05 to 47.20 Hz.</li> </ul> <p>For full details on the dataset and its scientific context, please refer to the paper:</p> <p><strong>L. Colavitti, D. Bindi, G. Tarchini, D. Scafidi, and D. Spallarossa (2025)</strong>. <br><em>"A high-quality Data Set for seismological studies in the East Anatolian Fault Zone, Türkiye"</em>, <br><em>Earth System Science Data</em>, <strong>17(6)</strong>, 3089-3108. <a href="https://doi.org/10.5194/essd-17-3089-2025">https://doi.org/10.5194/essd-17-3089-2025</a>.</p>
Eocene Terrane Accretion in Northern Cascadia Recorded by Brittle Left-lateral Slip on the San Juan Fault
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Holocene earthquake rupture of the XEOLXELEK–Elk Lake fault in the Greater Victoria area, British Columbia, Canada
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Efficient sub-pixel fully connected neural network: an intelligent fault diagnosis method for signal resolution enhancement
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Frictional properties of feldspar-chlorite altered gouges and implications for fault reactivation in hydrothermal systems
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Searching for deep-seated thrust faults on the moon
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Data from: Gouge stability controlled by temperature elevation and obsidian addition in basaltic faults and implications for moonquakes
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Sliding window constrained fault-tolerant filtering of compressor vibration data
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Data from: Transmission line data of different fault instances retrieved through Phasor Measurement Unit (PMU)
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Online tree-based planning for active spacecraft fault estimation and collision avoidance
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Improving early estimates of large earthquake's final fault lengths and magnitudes leveraging source fault structural maturity information - supplementary data
<p>Supplementary dataset for <em>Improving early estimates of large ea­­rthquake’s final fault lengths and magnitudes leveraging source fault structural maturity information. </em>This contains individual performance test results for the algorithm discussed in this publication for each earthquake included in the study</p>
Files corresponding to submitted manuscript "Seismically-induced unclogging in fluid-saturated faults"
<p>Submission version of files.</p>
Dataset for the manuscript "Potential Seismicity by Impoundment of the Baihetan Reservoir, Xiaojiang Fault Zone, Southwest China"
<p>Files corresponding to submitted manuscript "Potential Seismicity by Impoundment of the Baihetan Reservoir, Xiaojiang Fault Zone, Southwest China". Dataset used for the numerical calculation of Baihetan Reservoir. Model parameters, mesh file and the main simulation results are included. </p>
Brittle faulting of ductile rock induced by pore fluid pressure build-up
<p>his is the ReadMe file corresponding to the study entitled: "Brittle faulting of ductile rock induced by pore fluid pressure build-up"</p> <p>By Noël C., Passelègue X. F., Violay M.</p> <p>This study is under review at JGR: Solid Earth</p> <p>This Read-Me file has been last edited in November 2020</p> <p>This readme file describes the data repository and supplementary files accompanying the above publication. <br> For any further queries please contact corentin.noel@epfl.ch</p>
Application of an ensemble earthquake rate model in Italy, considering seismic catalogs and fault moment release - Models and Catalogs
<p>Models and Catalogs for "Application of an ensemble earthquake rate model in Italy, considering seismic catalogs and fault moment release" , Murru et al. 2020</p>
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
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International Brain Laboratory public data
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OpenNeuro
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