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562 results for “Faults”
Evolution of Nanocavities to Ductile Fractures in Crustal-Scale Faults at the Base of the Seismogenic Zone
<p>cpr files containing EBSD crystallographic data.</p>
Supplementary Data for Progressive Strain Localization with Structural Evolution of Faults and Implications for Earthquake Characteristics
<p>Fault slip measurements from geodetic imaging data (pixel offsets and InSAR) for 16 strike-slip earthquakes. </p> <p>Data columns are: Longitude, Latitude, Fault Slip (meters), 1-sigma uncertainty (meters)</p>
Supplementary Datasets and Movies for the Paper "Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change"
<p>Supplementary Datasets and Movies for the Paper <br><strong>Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change </strong><br>by Anthony Lomax</p> <p>DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2404.05437</a></p> <p> </p> <p><strong>Movie S1 Animation of the 2018, Mw 7.1 Anchorage, Alaska sequence and background seismicity 2014-2022.</strong> Relocated seismicity shown for: 2014 – 2018 mainshock (light blue), 2018 mainshock – 1 month after mainshock (green), 1 month after mainshock through 2022 (light orange); large black dot indicates the Mw 7.1 mainshock hypocenter. See figure caption in main paper for more details.</p> <p><strong>Movie S2 Animation of seismicity-stress, 3D finite-faulting potential slip results the 2018 Mw 7.1 Anchorage, Alaska earthquake sequence.</strong> The high-potential portion of the seismicity-stress finite-faulting field is shown in red for west-dipping reciever faults inferred from the first 1 day of aftershocks (blue dots) after the 2018 mainshock (large black dot). See figure caption in main paper for more details.</p> <p> </p> <p><strong>CSV (.csv) and NLL-Hypocenter (.hyp) format catalogs of NLL-SSST-coherence relocations used in this study:</strong></p> <p>Parkfield_2022_NLL-SSST-coherence_20231201A.csv<br>Parkfield_2022_NLL-SSST-coherence_20231201A.hyp</p> <p>AntelopeValley_2021_NLL-SSST-coherence_20231223A.csv<br>AntelopeValley_2021_NLL-SSST-coherence_20231223A.hyp</p> <p>Anchorage_2018_NLL-SSST-coherence_20231125A.csv<br>Anchorage_2018_NLL-SSST-coherence_20231125A.hyp</p> <p> </p>
Supporting Material to "SIFA: Exploiting Ineffective Fault Inductions on Symmetric Cryptography"
<p>Supplementary material to the paper "SIFA: Exploiting Ineffective Fault Inductions on Symmetric Cryptography" by Christoph Dobraunig, Maria Eichlseder, Thomas Korak, Stefan Mangard, Florian Mendel, and Robert Primas (CHES 2018, <a href="https://eprint.iacr.org/2018/071">https://eprint.iacr.org/2018/071</a>).</p> <p> </p> <p>Ineffectively faulted AES Ciphertexts for different platforms and with different fault countermeasures in place (including infection-based configurations). Files:</p> <ul> <li>*/ct_correct.txt: AES ciphertexts where a fault was induced during the encryption, but did not change the ciphertext (decimal, CSV, 1 row per ciphertext)</li> <li>*/round_keys.txt: 11 expanded AES round keys used for all ciphertexts (decimal, CSV, 1 row per round key)</li> <li>*/sei_hardware.dat: Results of the statistical key-recovery evaluation. Row i lists the SEI of the right key, the SEI of the best wrong key, and the rank of the correct key after using 4*i of the ciphertexts in ct_correct.txt.</li> </ul> <p>Target platforms and setups are described in more detail in the paper.</p>
Earthquake Nucleation Size: Evidence of Loading Rate Dependence in Laboratory Faults
<p>The data presented here is complementary to the manuscript 'Earthquake Nucleation Size: Evidence of Loading Rate Dependence in Laboratory Faults'.</p> <p>It comprises selected movies of rupture propagation at different loading rates as well as strain gages time signals filtered at 500 kHz and 30 kHz.</p> <p>Useful information about the processed data can be found in excel spreadsheets and text files given in the folders. Some python scripts are also available to plot the data.</p>
The impact of pulsed Electromagnetic Fault Injection on true random number generators
<p>Random number acquisition from HECTOR daughter board and the clock signals of both decimator and Priority Encoder. The acquisition where done with a shift register between the output of Priority Encoder’s output and the scope (the same applies for the decimator’s output).</p> <p>Folder is class by type of faults:</p> <ol> <li>tmp_00_wb means two of Priority Encoder’s bits are stuck at 00.</li> <li>tmp_01_wb means two of Priority Encoder’s bits are stuck at 01.</li> <li>tmp_10_wb means two of Priority Encoder’s bits are stuck at 10.</li> <li>tmp_11_wb means two of Priority Encoder’s bits are stuck at 11.</li> <li>tmp_0_wb means one of Priority Encoder’s bit is stuck at 0.</li> <li>tmp_1_wb means one of Priority Encoder’s bit is stuck at 1.</li> <li>Decim_0_wb means one bit of decimator’s output stuck at 0.</li> <li>Decim_1_wb means one bit of decimator’s output stuck at 1.</li> </ol> <p>Curves are class as follows:</p> <p> (<em>Index</em> means the acquisition number)</p> <ol> <li>CIdecimIndex_0.trc files are the clock signal before decimation, i.e. the clock used to sample Priority encoder’s output.</li> <li>COdecimIndex_0.trc files are the clock signal after decimation, i.e. the clock used to sample decimator’s output.</li> <li>IrandDecim_Index_0.trc is the output of the Priority Encoder.</li> <li>OrandDecim_Index_0.trc is the output of the Priority Encoder.</li> </ol> <p>All trc files are binary files.</p> <p>The file conditions_wb recap all the injection parameter used to obtain the different fault.</p>
Text-fig. 1. Ohře rift fault zone with location of our localities (adapted Rapprich et al. 2007). a – Vrbice, b – Nechranice, c – Bečov, d – Divoká rokle. in New Fossil Woods From The Paleogene Of Doupovské Hory And České Středohoří Mts. (Bohemian Massif, Czech Republic)
Text-fig. 1. Ohře rift fault zone with location of our localities (adapted Rapprich et al. 2007). a – Vrbice, b – Nechranice, c – Bečov, d – Divoká rokle.
Kinematic and Paleoseismic Investigation of an Upper-Plate Fault on Chirikof Island: A Potential Tsunami-Seismic Hazard Source within the Alaska Subduction Zone
Open the record for dataset details and reuse information.
Supplementary files to 'Along-strike extent of earthquakes on multi-segment reverse faults; insights from the Nevis-Cardrona Fault, Aotearoa New Zealand'
<p>Supplementary files to the article: Williams, J., Stirling, M., Langridge, R., Niroula, G., Vause, A., Stewart, J., Nicol, A., & Wang, N. (2024). Along-strike extent of earthquakes on multi-segment reverse faults; insights from the Nevis-Cardrona Fault, Aotearoa New Zealand. <em>Seismica</em>, <em>3</em>(2). https://doi.org/10.26443/seismica.v3i2.1310.</p> <p>Contents are:</p> <ul> <li>NCF_SuppInfo.pdf: Supplements S1-S4, where S1 are logs and photos from trenches excavated across the Nevis Fault in the 1980's, S2 are lidar-derived topographic profiles across scarps on the NW Cardrona segment, S3 is the laboratory report on the Stoney Creek and German Creek OSL samples, and S4 is the Upper Nevis Trench OxCal Model. Supplement S2 incorporates lidar provided by Toitū Te Whenua Land Information New Zealand (LINZ), and licensed under the Creative Commons Attribution 4.0 International licence (https://data.linz.govt.nz/layer/99123-otago-lidar-1m-dem-2016/).</li> <li>Unannotated orthomosiacs of the German Creek and Stoney Creek trench walls (as shown in Figures 5 and 6 in the manuscript)</li> <li>Digital surface models for the following Nevis segment localities: Stoney Creek, German Creek, Drummond Creek, and Coal Creek. The digital surface models (DSM) were derived from photos taken usig a DJI Phantom 3 Professional drone. The photos were then processed into a DSM using Agisoft structure for motion software. Ground control points were not used. Further details of the DSM generation are given in the manuscript.</li> </ul> <p>Any questions, please contact: jack.williams@otago.ac.nz</p>
Fast Liquiñe-Ofqui Fault Slip Rates and Rapid Uplift Above the Subducted Chile Ridge
<p>These field data are GPS tracks, GPS waypoints, structual data, seismicity data, and DEM data from the study. </p>
On the emergence of fault afterslip during laboratory seismic cycles
<div>This is the ReadMe file corresponding to the dataset of the study entitled:</div> <div>"On the emergence of fault afterslip during laboratory seismic cycles"</div> <div>By Noël C., Twardzik C., Dublanchet P., and Passelègue F.</div> <div> </div> <div>This Read-Me file has been last edited in October 2024</div> <div> </div> <div>This readme file describes the data repository and supplementary files accompanying the above publication. </div> <div>For any further queries please contact corentin.noel@geoazur.unice.fr</div> <div> </div> <div> </div> <div> </div> <div>Each experiment has a .txt file. The nam of the file is composed of first the sample configuration, then the confining pressure. If "down" is following, it stands for the confining pressure downphase at the end of the experiment (see method section of the manuscript). For Granite_Marble experiments, "bis" at the end of the name stands for the duplicated experiment. </div> <div> </div> <div>The data are tab separate file, each column is a variable as follow:</div> <div>Column 1: Time(s)</div> <div>Column 2: Axial average displacement (mm)</div> <div>Column 3: Axial stress (MPa)</div> <div>Column 4: Confining pressure (MPa)</div> <div>Column 5: Strain gage 1 (µstrain)</div> <div>Column 6: Strain gage 2 (µstrain)</div> <div>Column 7: Strain gage 3 (µstrain)</div> <div>Column 8: Strain gage 4 (µstrain)</div> <div>Column 9: Strain gage 5 (µstrain)</div> <div>Column 10: Strain gage 6 (µstrain)</div> <div>Column 11: Strain gage 7 (µstrain)</div> <div>Column 12: Strain gage 8 (µstrain)</div>
Heterogeneous mineralogical composition and fault behaviour: A systematic study in ternary fault rock compositions.
<p>In this dataset the high resolution images of the microstructural analysis and the frictional strength, frictional healing and the rate and state parameters are reported. The data refer to a comprehensive study with 34 frictional experiments on fault gouges composed of three representative mineral phase:muscovite (platy phyllosilicate), quartz (granular silicate) and calcite (granular carbonate), known for their markedly distinct frictional properties. </p>
Evolution of fault reactivation potential in the greater Ruhr region (Germany). Results from analytical and numerical studies.
<p>This dataset presents results of analytical-probabilistic and numerical studies on the evolution of fault reactivation potential in the greater Ruhr region in western Germany. The dataset includes shapefile of major faults in the greater Ruhr region, with their specific dip angles, strike values, slip tendencies, dilation tendencies, fracture susceptibilities, and reduced-risk dilation tendencies. The results of long-term coupled thermo-hydro-mechanical simulations on two conceptual geothermal systems based on the two most prevailing fault architectures in the greater Ruhr region are also included in the dataset. The model results are saved with the COMSOL Multiphysics software format, where the simulations were carried out.</p> <p>Please check the README files for a detailed explanation of both datasets.</p> <p>_________________________________</p> <p>Update on 06/11/2024</p> <p>New version includes only one updated fully coupled thermo-hydro-mechanical model with a NW-SE-striking fault and a finer mesh.</p>
Raw Laser Profilometer Data of Plan de Platanos, Big Piute and Water Man Hill Faults
<p>Raw laser profilometer data<strong> (Elevation matrices)</strong> for: </p> <ol> <li>Plan de los Platanos Fault (<strong>PP</strong>), Autlan de Navarro, Jalisco, Mexico---> Andesite (<strong>and</strong>)</li> <li>Big Piute Low Angle Normal Fault (<strong>BP</strong>), Mojave, Southern California--->quartzite (<strong>qtz</strong>)</li> <li>Waterman Hills Detachment Fault (<strong>WH</strong>), Mojave, Southern California---> mylonitized metasedimentary (<strong>mms</strong>)</li> </ol> <p><strong>Instrument:</strong> Taylor Hobson TALYSCAN 150 profilometer using a no-contact laser gauge</p> <p><strong>Vertical Resolution:</strong> 252nm</p> <p><strong>Traversing speed:</strong> 2mms-1</p> <p><strong>Horizontal Spacing:</strong> 5 µm (except for WH-03a1, which is 4 µm instead)</p> <p><strong>Unit of length</strong>: meters (m)</p> <p> </p> <p> </p>
Data for "The interplay between seismic and aseismic slip along the Chaman fault illuminated by InSAR" submitted to JGR: Solid Earth
<p>This compressed folder contains data presented in Figures of the following paper : <strong>"The interplay between seismic and aseismic slip along the Chaman fault illuminated by InSAR" </strong>by<em> </em>M. Dalaison, R. Jolivet, E. M. van Rijsingen and S. Michel, submitted to <em>JGR: Solid Earth </em>in August 2021.</p> <p>Data are in their final processed version. Raw data used in this study are freely available online ( scihub.copernicus.eu, earthdata.nasa.gov, www.ecmwf.int, pubs.usgs.gov/of/2007/1103 )</p>
Series AC Arc Fault Detection Method Based on High-Frequency Coupling Sensor and Convolution Neural Network
<p>The data provided can be used for the development of methods for the detection of arcing faults in a domestic low-voltage electrical networks (230V - 50 Hz). The data files are current and voltage signatures experimentally measured.</p> <p>Test for to produce an arcing fault : Open contact electrodes and Carbonized path wires</p> <p>The ReadMe file describes :</p> <p>- the test set up and the the procedure followed to make the measurements</p> <p>- the list of household appliances and their main characteristics.</p> <p>- the name of the data files</p> <p>- the type of arcing faults</p>
Arc fault detection and appliances classification in AC home electrical networks using Recurrence Quantification Plots and Image Analysis
<p>The data provided can be used for the development of methods for the detection of arcing faults in a domestic low-voltage electrical networks (230V - 50 Hz). The data files are current and voltage signatures experimentally measured.</p> <p>The ReadMe file describes :</p> <p>- the test set up and the the procedure followed to make the measurements</p> <p>- the list of household appliances and their main characteristics.</p> <p>- the name of the data files</p> <p>- the type of arcing faults</p> <p> </p>
Revised supplementary material to "Fumarolic pathways were structurally controlled by a strike-slip fault system beneath the Bishop Tuff, Bishop, California"
<p>Revised supplementary material to "<em>Fumarolic pathways were structurally controlled by a strike-slip fault system beneath the Bishop Tuff, Bishop, California</em>":</p> <p>Figure S1 Supplementary Images V.2.kmz</p> <p>Table S1 Fault Measurements V.2.csv</p> <p>Table S2 Joint Measurements.csv</p> <p>Table S3 Optimal Joints Model Solution.csv</p> <p> </p> <p>Figure S1 Supplementary Images.kmz for use in Google Earth showing field photographs in geographic context. Figure S1 Supplementary Images.kmz contains all supplementary images (S1 to S12), locations and additional images of field photographs of the figures in the main text of the publication (Figures 3,5,7), additional photographs of fault kinematic indicators, sample localities, and some additional photographs. The order of figures in the manuscript changed, so figure numbers differ from the originally published version.</p> <p>Table S1 Fault Measurements.csv contains all measured fault surface orientations (strike and dip), their corresponding slickenline orientations (trend and plunge) and their locations (latitude and longitude in decimal degrees). Fault types were added to the data.</p> <p>Table S2 Joint Measurements.csv contains all measured orientations of joints as measured on a preserved joint wall (strike and dip), their locations (easting and northing in meters), and whether the joint was mineralized or not. No changes were made from the originally published version.</p> <p>Table S3 Optimal Joints Model Solution.csv contains the output to the model presented in the paper. This table was newly added to the revised version of the paper.</p>
Arcing Fault Electrical Signatures Data Base - Sinusoidal power supply (230 V - 400 Hz) - Resistive loads - part 1
<p>The dataset contains series arc faults voltage and current signatures in a AC low power network.</p> <p>Sinusoidal power supply (230 V – 400Hz, 600Hz and 800Hz) - Resistive Loads</p> <p>The data provided can be used for the development of methods for the detection of arcing faults.</p> <p>The data files are current and voltage signatures experimentally measured.</p> <p>Two technique are used to produce an arcing fault : Open contact electrodes and Carbonized path wires</p> <p>The ReadMe file describes :</p> <p>- the test set up and the the procedure followed to make the measurements</p> <p>- the name of the data files</p> <p>- the type of arcing faults</p>
RSQSim Simulated Earthquake Catalog 5091, New Zealand, NSHM2012 Fault System, 276kyr
<p>Earthquake simulator for New Zealand</p> <p>Simulated earthquake catalog, generated with the Rate-State Earthquake Simulator (RSQSim), described in and used by the following publication:</p> <p>Bruce E. Shaw, Bill Fry, Andrew Nicol, Andrew Howell, and Matthew Gerstenberger, An Earthquake Simulator for New Zealand, <em>submitted</em>, 2021.</p> <p>A github repository with python tools to interact with this catalog, and other similar rsqsim catalogs, is located at:</p> <p><a href="https://github.com/uc-eqgeo/rsqsim-python-tools">https://github.com/uc-eqgeo/rsqsim-python-tools</a></p> <p>This repository is intended to continue to be improved and updated .</p> <p> </p> <p>Additional references discussing the simulator and its uses:</p> <p>Kevin R. Milner, Bruce E. Shaw, Christine A. Goulet, Keith B. Richards‐Dinger, Scott Callaghan, Thomas H. Jordan, James H. Dieterich, Edward H. Field; Toward Physics‐Based Nonergodic PSHA: A Prototype Fully Deterministic Seismic Hazard Model for Southern California. <em><em>Bulletin of the Seismological Society of America</em></em> 2021;; 111 (2): 898–915. doi: <a href="https://doi.org/10.1785/0120200216">https://doi.org/10.1785/0120200216</a></p> <p>Bruce E. Shaw, Kevin R. Milner, Edward H. Field; Keith B. Richards‐Dinger, Jacquelyn J. Gilchrist, James H. Dieterich, and Thomas H. Jordan, 'A physics-based earthquake simulator replicates seismic hazard statistics across California',<em> Science Advances, 4</em>, 2018. <a href="https://www.ldeo.columbia.edu/%7Eshaw/publications/ShawEtal18.pdf">doi:10.1126/sciadv.aau0688</a></p> <p>The catalog is simulated on a fault system for New Zealand built from source in the NSHM2021 national hazard model, following the hybrid loading technique described in Shaw (2019) (<a href="https://doi.org/10.1785/0120180128">https://doi.org/10.1785/0120180128</a>).</p> <p> </p> <p><strong>File Descriptions:</strong></p> <p>The descriptions below are for some of the more relevant files. There are additional files as well. The python tools in the github repository interact with additional files not mentioned here. </p> <p><strong>Catalog CSV File:</strong> <em>catalog.csv</em></p> <p>This is a human-readable summary file listing each event (after<br> skipping the first 50kyrs of model spin-up time).<br> Each line corresponds to an event in the catalog, and contains the<br> following information:</p> <p> * Event ID and occurrence time<br> * Magnitude, Moment, and Area<br> * Participating element information (count, average slip, long-term<br> average slip rate)<br> * Hypocenter and scalar-moment centroid locations<br> * Rupture surface minimum and maximum depths</p> <p><strong>Geometry File (ASCII): </strong><em>zfault_Deepen.in</em></p> <p>ASCII file listing patch (triangular) geometry for the simulated faults<br> in a UTM coordinate system (zone 11S). The primary columns are:</p> <p> * /x1, y1, z1/ - UTM coordinates of the first vertex<br> * /x2, y2, z2/ - UTM coordinates of the second vertex<br> * /x3, y3, z3/ - UTM coordinates of the third vertex<br> * /rake/ - Direction of the motion of the hanging wall relative to the<br> footwall (in degrees, following the convention of Aki & Richards, 2002)<br> * /slip_rate/ - Long-term average slip rate (in m/s)</p> <p>The first line in the file (excluding comment lines that start with '#')<br> is the patch with ID=1, the second ID=2, etc. Additional metadata<br> columns may exist in each line beyond those listed and can be ignored.</p> <p><strong>Catalog List Files (binary):</strong> <em>catalog.eList, catalog.pList,<br> catalog.tList, catalog.dList</em></p> <p>The raw output of RSQSim includes 4 binary "list" files that define the<br> simulated event IDs, times, and total slip in each participating patch.<br> All 4 list files should be processed together, as the /N/-th item in one<br> list file corresponds to the /N/-th item in each other file.</p> <p>For each patch the ruptures during an event, a value is written to each<br> of these files giving 1) the patch number, 2) the event number, 3) the<br> distance slipped during the event, and 4) the time of first rupture for<br> that patch during that event.</p> <p>The format is as follows:</p> <p> * catalog.eList: list of event IDs (1-based), stored as little-endian<br> 4-byte integers<br> * catalog.pList: list of patch IDs (1-based), stored as little-endian<br> 4-byte integers<br> * catalog.tList: list of time of first slip on each patch in each<br> event (in seconds, relative to simulation origin time), stored as<br> little-endian 8-byte double precision floating-point numbers<br> * catalog.dList: list of total slip on each patch in each event (in<br> meters), stored as little-endian 8-byte double precision<br> floating-point numbers</p> <p><strong>RSQSim Input File (ASCII):</strong> <em>multiparam.in</em></p> <p>Key-value pairs of RSQSim model parameters, used to originally run the<br> simulation.</p> <p> </p> <p> </p> <p> </p> <p> </p>
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OpenNeuro
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