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781 results for “earthquakes”
Geomechanical data for Pohang earthquakes, South Korea
<p>These files contain data used in the manuscript entitled "Stress state and fault slip susceptibility prior to the 2017 M<sub>W</sub> 5.5 Pohang earthquake triggered by enhanced geothermal system stimulation" submitted to G-Cubed.</p>
Moment tensor inversion and uncertainty analysis for 40 Uttarakhand Earthquakes (2010-2022)
<p>This repository provides detailed descriptions of the files that were used for the Moment tensor and uncertainty analysis study of earthquakes in the Uttarakhand Himalayas. These files contain the Moment Tensor (MT) estimation results and uncertainty quantification of 40 earthquakes using different networks.</p> <p> </p> <p><strong>Contents:</strong></p> <p>1. waveform_fits.docx - Waveform fits for MT estimation</p> <p>2. confidence_plots.docx - The confidence parameters associated with each MT</p> <p>3. depth_vs_misfit_plot.docx - The confidence in the MT solution for each depth against the misfit values</p> <p>4. weight_files.zip - Weight files for 40 events read by the MTUQ package</p> <p>5. CMT_solution_files.zip - Centroid Moment Tensor (CMT) solutions for 40 events</p>
InSAR coseismic deformation for the 2 April 2024, Mw 7.4, Hualien (Eastern Taiwan) earthquake
<p>This dataset includes coseismic InSAR deformation for the 2024 Mw 7.4 Hualien (Eastern Taiwan) earthquake.</p>
Earthquake Catalogue for Wellington Region located with RaspberryShakes
<p>This dataset is supporting information for the following paper, if using it please cite appropriately:</p> <p>Hughes B, Illsley-Kemp F, Mestel ERH, Townend J, Chandrakumar C, Prasanna R. Using citizen science Raspberry Shake seismometers to enhance earthquake location and characterization: a case study from Wellington, New Zealand. <em>In Review. </em>Seismica </p> <p> </p> <p>The dataset consists of four QuakeML files as follows:</p> <p><strong>RaspberryObfuscatedCatalogue.xml</strong>: Earthquake catalogue located with GeoNet seismometers and RaspberryShake with obfuscated locations</p> <p><strong>RaspberryGeoNetCatalogue.xml</strong>: Earthquake catalogue located with GeoNet seismometers</p> <p><strong>RaspberryCombinedCatalogue.xml: </strong>Earthquake catalogue located with GeoNet seismometers and RaspberryShakes with true locations<strong><br></strong></p> <p><strong>RaspberryFocalMechanisms.txt: </strong>Strike/dip/rake of best fit focal mechanisms</p>
Spatiotemporal dominance of afterslip and viscoelastic relaxation revealed by four decades of post-1973 Luhuo earthquake observations
<p>The datasets include: (1) post-processed fault-crossing short baseline data; (2) triangulation data; (3) coseismic slip models of the Zhuwo and Luhuo earthquakes; and (4) afterslip model of the Luhuo earthquake.</p>
Data in support of : Volumetric Deformation Feedback on Fault Stability and Strain Localization Precursor to Stick-Slip Behavior in Laboratory Earthquakes.
<p>This folder contains 3 .txt files:</p> <p> </p> <p>LP1 — low pressure data set.</p> <p>HP1 — High confining pressure experiement.</p> <p>HP2 — High cinfining pressure repeat experiment.</p> <p> </p> <p>The .txt files contain the following columns: Time (s), Pc (bar), VerticalLoad (kN), Horizontalload (kN), DisplacementOE (mm), StrainSG_xx, StrainSG_yy, StrainSG_xy.</p> <p>Strain gauge data are pre-filtered. All other data are raw.</p>
Postseismic Deformation Due to the 2021 MW 7.4 Maduo (China) Earthquake and Implications for Regional Rheology and Seismic Hazards around the Bayan Har block
<p><span>input.sh: Model input file in RELAX to simulate the coupled afterslip and viscoelastic contributions in the study of Tian et al. (2024), EPSL</span></p> <p><span>****.txt: Observed postseismic time series following the 2021 MW 7.4 Maduo (China) Earthquake</span></p> <p> </p> <p><span>Title: Postseismic Deformation Due to the 2021 MW 7.4 Maduo (China) Earthquake and Implications for Regional Rheology and Seismic Hazards around the Bayan Har block</span></p>
Supplementary Movie for the Paper "The 2021 and 2022 North Coast California earthquake sequences and fault complexity in the vicinity of the Mendocino Triple Junction"
<p>Supplementary Movie for the Paper <br><strong>The 2021 and 2022 North Coast California earthquake sequences and fault complexity in the vicinity of the Mendocino Triple Junction </strong><br>by Margaret Hellweg, Douglas S. Dreger, Anthony Lomax, Robert C. McPherson and Lori Dengler<br>Accepted for publication in Bulletin of the Seismological Society of America</p> <p>DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">TODO</a></p> <p><strong>Movie S1. Animation of the seismicity in the region of the Mendocino Triple Junction from 1982 - 2023 relocated using NLL-SSST-coherence.</strong> <br>See Figure 1 caption in main paper for more details.</p> <p> </p>
DAS Data for the figure in the paper entitled "A Hybrid Earthquake Detection Method for Distributed Acoustic Sensing Array Data and Its Application to the 2022 Menyuan Earthquake Sequence"
<p>The DAS data can be loaded using numpy. The sampling rate is 100 Hz, and each row is a time series for that channel.</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 for "Moment tensor and point force estimation, with applications to earthquakes, landslides, and the 2017 DPRK nuclear explosion"
<p>This Zenodo archive contains supplementary data and code for the paper <strong>Moment tensor and point force estimation, with applications to earthquakes, landslides, and the 2017 DPRK nuclear explosion</strong> (submitted to <em>Geophysical Journal International</em>). The archive provides scripts and data to reproduce some of the figures and results presented in the paper / supplementary material.</p>
The 2021-2022 Fukushima-Oki Earthquakes in Northeastern Japan: Dehydration Triggered Fault Reactivation Boosted by Slab Segmentation
<p>codes.rar: codes of double-difference seismic tomography</p> <p>catalog.dat: earthquake phase catalog used in the DD tomography</p> <p>station.dat: station coordinates of the seismic network </p> <p>MOD: grids in the initial Vp and Vp/Vs models</p> <p>Vp_model.dat: inverted 3-D Vp model</p> <p>Vs_model.dat: inverted 3-D Vs model</p> <p>VpVs_model.dat: inverted 3-D Vp/Vs model</p> <p>earthquake.reloc: relocations of the earthquakes</p>
Catalog of Earthquake Swarms in the Middle America Subduction Zone (2001-2024)
<p>This dataset contains the catalog of earthquake swarms in the Middle America subduction zone from January 2001 to March 2024.</p>
Impact of Upper-Plate Faulting on Megathrust Foreshocks: Insights from the 2014 Iquique Earthquake
<p>Data set from the work: <strong>Impact of Upper-Plate Faulting on Megathrust Foreshocks: Insights from the 2014 Iquique Earthquake</strong>. DOI:</p> <p>input_files.tar.gz contains all the files (params, mesh, fault geomtry) necessary to run the python codes that will create the in.param files to be run using UniCyclE.</p> <p>in-param-files.tar.gz contains the in.param, rfaults.flt.2d, volume.ned, volume.trv. All these files will be used to run UniCyclE for each mnodel.</p> <p>vel_SAM.dat are the coseismic displacement of the continuous GPS stations that captured the Mw8.1 2014 Iquique earthquake, relative to South America.</p> <p>20_temp.csv is the temperature model used to compute the thermally activated viscoelastic behavior in the continental and oceanic mantle using a power creep law. </p> <p>the grl_codes.zip contains all the data and a jupyter notebook to process the results from the model in the same way as it is done in the paper in Figure 3.</p>
Surface displacements related to the 2021 Maduo earthquake in Qinghai province, China
<p>The dataset includes the SAR displacements observations, three-dimensional displacements, the strain invariants, and the slip model related to the 2021 Maduo earthquake in Qinghai province, China.</p>
Time-Dependent Probabilistic Tsunami Inundation Assessment Using Mode Decomposition to Assess Uncertainty for an Earthquake Scenario
<p>This is the dataset of the manuscript submitted to JGR Ocean (Feb 2021).</p>
Data for "Fault interactions enhance high-frequency earthquake radiation"
<p>This dataset includes all results (in pandas dataframe pickle format) from the data from the paper, "Fault interactions enhance high-frequency earthquake radiation" by S. X. Chu, V. C. Tsai, D. T. Trugman, and G. Hirth. It also contains a python notebook showing how to read the dataset, as well as sample functions to calculate misalignment and density ratios as described in that paper.</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>
HDF files for the time-dependent inversion of the 2016 moderate earthquakes along Chaman fault
<p>We use GAMMA software to process Sentinel-1 SLC data and generate InSAR data. After converting the data into UTM coordinates, we use LiCSBAS to perform the time-series analysis, and the resulting HDF files are imported to MATLAB to perform the time-dependent inversion. MATLAB source codes are available.</p> <p>Original Sentinel-1 SLC data are available from https://scihub.copernicus.eu/dhus.</p>
Block Tectonics across Western Tibet and Multi-Millennial Recurrence of Great Earthquakes on the Karakax Fault
<p><strong>Table 1</strong>: Analytical results of <sup>10</sup>Be and <sup>26</sup>Al geochronology and surface-exposure ages at Taersa site along Karakax fault.</p> <p>LMC.las = UAV point cloud data of the offset shoreline along the Longmu Co fault</p> <p>KXF.txt = LiDAR x-y-z data of the Taersa site</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)
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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
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.