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25 results for “earthquake simulation”
Mechanical data of rotary shear experiments and temperature measurements for the manuscript: "Fast and localized temperature measurements during simulated earthquakes in carbonate rocks"
<p>Mechanical data of rotary shear experiments and temperature measurements</p> <p>Each experiment is presented in a file with the experiment name (mechanical data of rotary shear experiment) and a file with the experiment name and _Temp (temperature measurement with the optical fiber).</p> <p>Mechanical data are presented in a tab-delimited file with calibrated measurements of:</p> <ul> <li>Time (milliseconds)</li> <li>Normal stress: Normal (MPa) </li> <li>Fault displacement: Slip (mm)</li> <li>Fault velocity: Velocity (mm/s)</li> <li>Shear stress: Shearstress (MPa)</li> <li>Axial shortening: Shortening (mm).</li> </ul> <p> In a separate file, temperature data are presented as tab-delimited file with calibrated measurements of:</p> <ul> <li>Time (milliseconds)</li> <li>Temperature from optical fiber in the channel at 1.5 µm : Temperature_1,5 (°C) </li> </ul>
Simulation Data for "Community-Driven Code Comparisons for Three-Dimensional Dynamic Modeling of Sequences of Earthquakes and Aseismic Slip"
<p>Simulation data from Jiang et al. (2022), "Community-Driven Code Comparisons for Three-Dimensional Dynamic Modeling of Sequences of Earthquakes and Aseismic Slip," <em>Journal of Geophysical Research: Solid Earth</em><em>.</em></p> <p>The archive includes simulation data for 3D SEAS benchmarks BP4-QD and BP5-QD that are analyzed in our paper (descriptions in NOTES.txt) </p> <p><strong>BP4-QD Benchmark Simulations:</strong><br>1000 m: jiang.5, lambert.8, barbot.3, barbot.2, dliu.2, li.4<br>500 m: jiang.3, lambert.3, barbot.5, barbot.7, ozawa</p> <p><strong>BP5-QD Benchmark Simulations:</strong><br>2000 m: jiang.6, lambert.8, liu.4, cattania.5, dli.7, barbot.3, dliu.10, li.3<br>1000 m: jiang.2, lambert.7, liu.5, cattania.3, ozawa, dli.5, barbot, dliu.6, li.2<br>500 m: jiang.4, lambert.9, liu.6, cattania.4, ozawa.2, dli.6, barbot.2, dliu.8<br>250 m: lambert.10, liu.7</p> <p><strong>BP5-QD with Off-Fault Data:</strong><br>1000 m: lambert.7, dli.5, barbot, dliu.6, li.2<br>500 m: lambert.9, dli.6, barbot.2, dliu.8</p> <p>Tables 2–4 in our paper summarizes details of numerical codes and selected simulations.</p> <p>The benchmark descriptions and the full suite of simulation data are available at SEAS online platform https://strike.scec.org/cvws/seas/.</p>
Physics-based Simulations of 3D Wave Propagation - Case study deriving from the Le Teil earthquake
<p>This dataset contains 4,000 simulation results of the 3D elastic wave equation in a setting deriving from the Le Teil earthquake (France, 2019). The elastic wave equation governs the propagation of waves in a 3D propagation medium. Two types of data are given in this dataset: a materials dataset and a velocity dataset.</p> <h2>Materials dataset</h2> <p>Each material describes the propagation domain used for one numerical simulation. It is built from non-stationary random fields added to the reference 1D velocity profile and corresponds to the velocity of shear waves. The minimum value is 1500m/s and the maximum is 4500m/s. All materials contain a 1800m-thick bottom layer with a constant velocity of 4500m/s. </p> <p>All materials are 3D arrays of shape 32 x 32 x 32.They correspond to a physical size of 9.6 x 9.6 x 9.6km³. </p> <h3>Practical use</h3> <p>Materials are provided as `.npy` arrays, readable with python: `a = np.load(‘materials0-1999.npy’)`<br>Each file contains 2000 materials. Therefore, `a` is of shape (2000, 32, 32, 32). Indices correspond to the material index, the x coordinate (from West to East), the y coordinate (from South to North), and the z coordinate (from bottom to top). </p> <h2>Velocity dataset</h2> <p>The velocity dataset contains the velocity wavefields simulated at the surface of each propagation domain. They have been generated by solving the 3D elastic wave equation with the high-performance computing code SEM3D based on the Spectral Element Method (https://github.com/sem3d/SEM). To each material described above corresponds one velocity field, obtained by the propagation of waves through this material.</p> <p>Velocity fields were recorded by a grid of 16 x 16 virtual sensors located at the surface of the propagation domain between 150m and 450m (600m between consecutive sensors). Each sensor records the 3-component velocity with a 100Hz sampling between 0s and 20s. </p> <p>Computational details: The computational mesh was designed with elements of size 300m and 7 Gauss-Lobato-Legendre quadrature points. It can accurately represent the propagation of waves up to 5Hz frequency. Waves were generated by a point-wise source placed at the bottom of the domain, inside the constant layer (the position of the source is 4800, 4800, -8400m). The seismic source derives from the Le Teil earthquake [Delouis et al., 2021, doi:10.5802/crgeos.78]. The seismic source is described by a moment tensor with fixed orientation (strike = 48°, dip = 45°, and rake = 88°) and amplitude (moment magnitude M0=2.47 · 10^16 N.m).</p> <h3>Practical use</h3> <p>Results are given in .feather dataframes, readable with pandas library in Python: v = pd.read_feather(‘velocity0-99.feather’). Each dataframe contains 100 simulation results. Each row of the dataframe has the following format: </p> <table> <tbody> <tr> <td>run</td> <td>field</td> <td>x</td> <td>y</td> <td>z</td> <td>0.0</td> <td>0.01</td> <td>0.02</td> <td>...</td> <td>19.98</td> <td>19.99</td> </tr> <tr> <td>12</td> <td>Veloc E</td> <td> <p>150.0</p> </td> <td>770.0</td> <td>-1.0</td> <td>0</td> <td>0</td> <td>0</td> <td>...</td> <td>1.1e-5</td> <td>1.0e-5</td> </tr> <tr> <td>12</td> <td>Veloc N</td> <td> <p>150.0</p> </td> <td>770.0</td> <td>-1.0</td> <td>0</td> <td>0</td> <td>0</td> <td>...</td> <td>3e-6</td> <td>3e-6</td> </tr> <tr> <td>12</td> <td>Veloc Z</td> <td> <p>150.0</p> </td> <td>770.0</td> <td>-1.0</td> <td>0</td> <td>0</td> <td>0</td> <td>...</td> <td>-2.6e-5</td> <td>-2.7e-5</td> </tr> <tr> <td>...</td> <td>...</td> <td>...</td> <td>...</td> <td>...</td> <td>...</td> <td>...</td> <td>...</td> <td>...</td> <td>...</td> <td>...</td> </tr> </tbody> </table> <p>where `run` indicates the index of the material used in this simulation, `field` indicates the component of the velocity field (`Veloc E` for East-West, `Veloc N` for North-South, `Veloc Z` for Vertical). `x`, `y`, `z` are the coordinates of the sensor (in meters). The next 2000 columns contain the velocity field for times 0, 0.01, …, 19.99.</p> <h1>Related work</h1> <p>This dataset was used to fine-tune a Factorized Fourier Neural Operator (F-FNO, Lehmann et al. 2024, doi:10.1016/j.cma.2023.116718) to predict ground motion wavefields from 3D geologies. The code to train the F-FNO is available at https://github.com/lehmannfa/HEMEW3D</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>
Data for "A benchmarking method to rank the performance of physics-based earthquake simulations"
<p>This repository contains the datasets and codes supplementary to the article "<strong>A benchmarking method to rank the performance of physics-based earthquake simulations</strong>" submitted to <em>Seismological Research Letters</em>.</p> <p>The datasets include the codes to run the ranking analyses, inputs and outputs for the RSQSim earthquake simulation cases explained in the paper: a single fault and the fault system of the Eastern Betics Shear Zone (simulations from Herrero-Barbero et al. 2021). The results and data are stored in a separate folder for each case study presented in the paper: "Single fault" and "EBSZ". Each folder contains a series of subfolders and a Python script to run the ranking analysis for that specific case study. The script contains the default path references to read all necessary input files for the analysis and automatically save all the outputs. The subfolders are:</p> <p><strong>./Inputs: </strong>This folder contains the input files required for the RSQSim simulations. This includes:</p> <p>a. The fault model ("Nodes_RSQSim.flt" and "EBSZ_model.csv" for the single fault and EBSZ cases, respectively), which specifies the coordinate nodes of the fault triangular meshes and fault properties such as rake (º) and slip rate (m/yr).</p> <p>b. Neighbor file ("neighbors.dat"/"neighbors.12") that contains lists of triangular patches of the fault model that are neighboring. This file is used in RSQSim.</p> <p>c. Input parameter file ("Input_Parameters.txt"): this file specifies the parameters that are variable in each catalogue. This file is just for information purposes and is not used for the calculations.</p> <p>d. Parameter file(s) to run the RSQSim calculations.</p> <p>*For the single fault, this file is common ("test_normal.in") and is updated during the calculation when executing the "Run.sh" file in the terminal when running RSQSim. This file contains a script that loops through the input parameters a, b and normal stress explored in the study and changes the input parameter file accordingly in each iteration.</p> <p>*For the EBSZ, this file is specific for each simulation ("param_EBSZ_(n).in"), as each simulation was run separately.</p> <p>e. (Only for the EBSZ case) Input paleoseismic data for the paleorate benchmark. One file ("coord_sites_EBSZ.csv") contains a list of UTM coordinates of each paleoseismic site in the EBSZ and another ("paleo_rates_EBSZ.csv") contains the mean recurrence intervals and annual paleoearthquake rates in those sites (data from Herrero-Barbero et al., 2021).</p> <p><strong>./Simulation_models:</strong> contains several subfolders, one for each simulated catalogue (96 for the single fault case and 11 for the EBSZ). Each subfolder contains data that is read by the ranking code to perform the analysis. </p> <p>*For the single fault, the folder names follow the structure "model_(normal stress)<em>(a)</em>(b)". </p> <p>*For the EBSZ, the folder names are "cat-(n)".</p> <p><strong>./Ranking_results: </strong>contains the outputs of the ranking analysis, which are two figures and one text file.</p> <p>*Figure 1 ("Final_ranking.pdf"): visualization of the final ranking analysis for all models against the analyzed benchmarks.</p> <p>*Figure 2 ("Parameter_sensitivity.pdf"): visualization of the final and benchmark performance versus the input parameter of the models.</p> <p>*Text file ("Ranking_results.txt"): contains the final and benchmark scores of each simulation model. This file is outputted so the user can reproduce and customize their own figures with the ranking results.</p> <p>To use the ranking codes in you own datasets, please replicate the folder structure explained above. Use the code that best suits your data: use the one for the single fault if you wish not to use the paleorate benchmarks, and use the EBSZ one if you wish to include these data in your analysis. At the beginning of the respective codes (before the "Start" block comment) you will find the variables where the file names of the fault model and paleoseismic data are indicated. Change them to adapt it to your data. There you can also assign weights to the respective benchmarks in the analysis (default is set at equal weight for all benchmarks).</p> <p>For updates of the code please visit our GitHub: https://github.com/octavigomez/Ranking-physics-based-EQ-simulations</p>
numerical data to accompany "Strong asymmetry in near-fault ground velocity during an oblique strike-slip earthquake revealed by waveform particle motions and dynamic rupture simulations"
<p>This is the numerical data to accompany the paper "Strong asymmetry in near-fault ground velocity during an oblique strike-slip earthquake revealed by waveform particle motions and dynamic rupture simulations". Please refer to the README.txt file for information about the individual datasets and archive files. </p>
Simulation results for the earthquake cycle including huge SSEs.
<p>The damped data for the simulation results shown in the paper titled "Nucleation for characteristic earthquakes in simulated cycles involving huge slow slip events on the deeper estension"(now in under review), authored by Ohtani, Makiko, N. Kame, and M. Nakatani.</p> <p> </p> <p> </p>
2010 Mentawai Tsunami Earthquake Simulations
<p>This dataset includes rupture models and associated waveforms of the 2010 M7.8 Mentawai, Indonesia tsunami earthquake. The simulations were generated using codes from https://github.com/UO-Geophysics/MudPy.</p> <p><strong>Test_simulations</strong> contains simulations for the initial tests individually varying the rise time, rupture velocity (Vrupt) and stress-drop (Figs. 5-7 in the accompanying publication).</p> <p><strong>GPR_simulations </strong>contains simulations for the Gaussian process regression analysis. These are separated into strong-motion waveforms for the 1D analysis with varying stress drop and HR-GNSS waveforms for the 2D analysis with varying rise time and Vrupt (Fig. 8 in the accompanying publication).</p> <p><strong>TsE_simulations</strong> contains the final datatset generated using recomended tsunami earthquake parameters (Table 1 and Fig. 9 in the accompanying publication). </p> <p>For the GNSS waveforms, files within <strong>GNSS_raw</strong> are the raw GNSS waveforms without noise, and files within <strong>GNSS_noisy</strong> are the raw waveforms with real noise added. No noise was added to the strong motion waveforms.</p> <p>The .log and .rupt files within the /ruptures/ subdirectories are standard files generated from MudPy. The .log files are summaries of each rupture, and the .rupt files are the full rupture kinematics of each rupture including slip information for the individual subfaults.</p> <p>Details on how the ruptures and data were generated are available in the following publication:</p> <p>Nye, T. A., Sahakian, V. J., & Melgar, D. (2024). Validation of tsunami earthquake ground-motion simulations using near-field observational data: Rupture parameter constraints from the 2010 Mentawai event. Seismica, 3(2). https://doi.org/10.26443/seismica.v3i2.1152</p> <p>*This work was supported by NASA ROSES grant 80NSSC21K0841 and USGS grants G19AP00071 and G23AP00048.</p> <p> </p>
Supplementary Material: Numerical Simulations of Seismoacoustic Nuisance Patterns from an Induced M 1.8 Earthquake in the Helsinki, Southern Finland, Metropolitan Area
<p>Seismic waves can couple with the atmosphere and generate sound waves. The influence of faulting mechanisms on earthquake sound patterns provides opportunities for earthquake source characterization. Sound radiated from earthquakes can be perceived as disturbing, even at low ground-shaking levels, which can negatively impact the social acceptance of geoengineering applications. Motivated by consistent reports of felt and heard disturbances associated with the weeks-long stimulation of a 6-km-deep geothermal system in 2018 below the Otaniemi district of Espoo, Helsinki, we conduct fully coupled 3D numerical simulations of wave propagation in the solid Earth and the atmosphere. We assess the sensitivity of the ground shaking and audible noise distributions to the source geometry of the induced earthquakes based on the properties of the largest local magnitude ML 1.8 event. Utilizing recent computational advances and the open-source software SeisSol, we model seismoacoustic frequencies up to 25 Hz, thereby reaching the lower limit of the audible sound frequency range. We present synthetic distributions of shaking and audible sounds at the 50–100 m scale across a 12 km × 12 km area and discuss implications for better under- standing seismic nuisances in metropolitan regions. In five 3D coupled elastic–acoustic scenario simulations that include data on topography and subsurface structure, we analyze the ground velocity and pressure levels of earthquake-generated seismic and acoustic waves. We show that S waves generate the strongest sound disturbance with sound pressure levels ≤ 0.04 Pa. We use statistical analysis to compare our noise distributions with commonly used empirical relationships. We find that our 3D synthetic amplitudes are generally smaller than the empirical predictions and that the interaction of the source mechanism-specific radiation pattern and topography can lead to significant nonlinear effects. Our study highlights the complexity and information content of spatially variable audible effects associated with small induced earthquakes on local scales.</p>
Supplementary material for High-Performance Earthquake Simulations with Advanced Material Models
<p>This repository contains the setup files to run the simulations, analyse the results and create the plots, used in my PhD thesis "High-Performance Earthquake Simulations with Advanced Material Models". Martin and David have contributed by providing reference solutions for the poroelasticity studies.</p>
Numerical data for dynamic rupture simulations of the 2016 Kumamoto earthquake
<p>Numerical data used to generate Figures in the manuscript entitled "The origin of large, long-period near-fault ground velocities during surface-breaking strike-slip earthquakes".</p>
Estimation of the hypocenter location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the hypocenter location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Journal of Geophysical Research: Solid Earth by Yu et al. (2022). The data is structured as follows:</p> <p> </p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000).</p>
Supplementary material for 3D wave propagation and earthquake dynamic rupture simulations in complex poroelastic media
<p>This repository contains all files to reproduce the SeisSol simulations for the article "3D wave propagation and earthquake dynamic rupture<br>simulations in complex poroelastic media" submitted to GJI.</p>
Source Parameters and Ground Motion Simulation of the 2023 MW 5.5 Pingyuan Earthquake in the North China Plain
<p>Broadband seismic waveform data used for determining the focal mechanism and depth of the 2023 <em>M</em><sub>W</sub> 5.5 Pingyuan earthquake</p>
RSQSim Simulated Earthquake Catalog 4983, California, UCERF3 Fault System, 715kyr
<p>Simulated earthquake catalog, generated with the Rate-State Earthquake Simulator (RSQSim), described in and used by the following publication:</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>The catalog is simulated on the UCERF3 fault system for California (<a href="https://doi.org/10.1785/0120130164">https://doi.org/10.1785/0120130164</a>), 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><strong>File Descriptions:</strong></p> <p><strong>Catalog CSV Files:</strong><em> catalog.csv, catalog_m6.5.csv</em></p> <p>These are human-readable summary files listing each event (after skipping the first 65kyrs of model spin-up time). The "catalog_m6.5.csv" file is filtered for only M>6.5 events (those used Milner et al., 2021). Each line corresponds to an event in the catalog, and contains the following information:</p> <ul> <li>Event ID and occurrence time</li> <li>Magnitude, Moment, and Area</li> <li>Participating element information (count, average slip, long-term average slip rate)</li> <li>Hypocenter and scalar-moment centroid locations</li> <li>Rupture surface minimum and maximum depths</li> </ul> <p><strong>Geometry File (ASCII):</strong><em> geometry.flt</em></p> <p>ASCII file listing patch (triangular) geometry for the simulated faults in a UTM coordinate system (zone 11S). The primary columns are:</p> <ul> <li><em>x1, y1, z1</em> - UTM coordinates of the first vertex</li> <li><em>x2, y2, z2</em> - UTM coordinates of the second vertex</li> <li><em>x3, y3, z3</em> - UTM coordinates of the third vertex</li> <li><em>rake</em> - Direction of the motion of the hanging wall relative to the footwall (in degrees, following the convention of Aki & Richards, 2002)</li> <li><em>slip_rate</em> - Long-term average slip rate (in m/s)</li> </ul> <p>The first line in the file (excluding comment lines that start with '#') is the patch with ID=1, the second ID=2, etc. Additional metadata columns may exist in each line beyond those listed and can be ignored.</p> <p><strong>Catalog List Files (binary):<em> </em></strong><em>catalog.eList, catalog.pList, catalog.tList, catalog.dList</em></p> <p>The raw output of RSQSim includes 4 binary "list" files that define the simulated event IDs, times, and total slip in each participating patch. All 4 list files should be processed together, as the <em>N</em>-th item in one list file corresponds to the <em>N</em>-th item in each other file.</p> <p>For each patch the ruptures during an event, a value is written to each of these files giving 1) the patch number, 2) the event number, 3) the distance slipped during the event, and 4) the time of first rupture for that patch during that event.</p> <p>The format is as follows:</p> <ul> <li>catalog.eList: list of event IDs (1-based), stored as little-endian 4-byte integers</li> <li>catalog.pList: list of patch IDs (1-based), stored as little-endian 4-byte integers</li> <li>catalog.tList: list of time of first slip on each patch in each event (in seconds, relative to simulation origin time), stored as little-endian 8-byte double precision floating-point numbers</li> <li>catalog.dList: list of total slip on each patch in each event (in meters), stored as little-endian 8-byte double precision floating-point numbers</li> </ul> <p><strong>RSQSim Input File (ASCII):</strong><em> params.in</em></p> <p>Key-value pairs of RSQSim model parameters, used to originally run the simulation.</p> <p><strong>M>6.5 Rupture Slip-Time Histories (Standard Rupture Format):</strong> <em>srfs_m6.5.zip</em></p> <p>Rupture slip-time histories in the Standard Rupture Format, version 1.0 (see <a href="http://equake-rc.info/static/paper/SRF-Description-Graves_2.0.pdf">http://equake-rc.info/static/paper/SRF-Description-Graves_2.0.pdf</a>), used in Milner et al. (2021). Slip-time histories are discretized at 0.1s intervals, and represented in the WGS84 coordinate system.</p>
M180 Data for "Laboratory Earthquakes Simulations – Typical Events, Fault Damage, and Gouge Production"
<p>M180 Data for "Laboratory Earthquakes Simulations – Typical Events, Fault Damage, and Gouge Production"</p>
Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5e.</p>
Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5c.</p>
Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5c.</p>
Supplementary data for "Seismogenic potential and tsunami threat of the strike-slip Carboneras fault in the western Mediterranean from physics-based earthquake simulations"
<p>Supplementary data for the article "Seismogenic potential and tsunami threat of the strike-slip Carboneras fault in the western Mediterranean from physics-based earthquake simulations" published in Natural Hazards and Earth System Science.</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.
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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
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