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246 results for “MW”
Large surface-rupture gaps and low surface fault slip of the 2021 Mw 7.4 Maduo earthquake along a low-activity strike-slip fault, Tibetan Plateau
<p>In this data set, Text S1 describes methods of (i) field investigation, UAV image collection and interpretation and (ii) horizontal and vertical displacement measurements. Figure S3 shows pre-event topographic expressions of the Maduo earthquake fault. Tables S1 and S2 provide measurement results of horizontal and vertical displacements, respectively. Datasets 1-4 provide the UAV flight swath, interpreted surface ruptures and secondary cracks, horizontal displacements and vertical displacements.</p>
Rupture Process of the 2017 Mw 6.3 Earthquake in Jinghe, Northwest China Constrained by GNSS, InSAR and teleseismic waveforms
<p>This dataset include:</p> <p>1. Slip model of 2017 Mw 6.3 Jinghe earthquake invert with GNSS, InSAR and teleseismic waveforms.</p> <p>2. InSAR LOS offsets caused by the mainshock (The file named by sar.static )</p> <p>3. Aftershocks locations relocated with hypoDD</p> <p> </p>
Supporting Dataset for Fault Friction Derived from Fault Bend Influence on Coseismic Slip During the 2019 Ridgecrest Mw 7.1 Mainshock
<p>Supporting Dataset for Fault Friction Derived from Fault Bend Influence on Coseismic Slip During the 2019 Ridgecrest M<sub>w</sub> 7.1 Mainshock, JGR</p> <p>See Readme text files for details. </p>
Data for "Slow Rupture in a Fluid-rich Fault Zone Initiated the 2024 Mw 7.5 Noto Earthquake"
<p><strong>Files for our 3D deformation maps, Back-Projection results, static slip model, and kinematic slip model for the 2024 Mw 7.5 Noto earthquake.</strong></p>
Subpixel offsets of Copernicus Sentinel 2 data, related to the displacement field of the Sulawesi Earthquake (2018, Mw 7.5)
<p><a href="https://en.wikipedia.org/wiki/Sulawesi">Sulawesi</a> lies within a complex fault system located between the <a href="https://en.wikipedia.org/wiki/Australian_Plate">Australian</a>, <a href="https://en.wikipedia.org/wiki/Pacific_Plate">Pacific</a>, <a href="https://en.wikipedia.org/wiki/Philippine_Sea_Plate">Philippine</a> and <a href="https://en.wikipedia.org/wiki/Sunda_Plate">Sunda Plates</a>. The main active structure onshore at the western part of Central Sulawesi is the left-lateral NNW-SSE trending <a href="https://en.wikipedia.org/wiki/Palu-Koro_fault">Palu-Koro</a> <a href="https://en.wikipedia.org/wiki/Strike-slip_Fault">strike-slip fault</a> that forms the boundary between the North Sula and Makassar blocks. On 28 September 2018, a large tsunamigenic <a href="https://en.wikipedia.org/wiki/Earthquake">earthquake</a> (Mw 7.5) struck the <a href="https://en.wikipedia.org/wiki/Minahasa_Peninsula">Minahasa Peninsula</a>, Indonesia. The earthquake caused massive damages near Palu city, including onshore gravitational instabilities and a tsunami.</p> <p>These data are the result of subpixel image correlation on Copernicus Sentinel-2 data (17 September 2018 and 2 October 2018) to derive the two-dimensional (East-West and North-South) horizontal co-seismic displacement field. In these data, the displacement field is expressed in meters. These results show a dominant senextral strike-slip motion on the onshore part of the Palu-Koro fault. Maximum displacement at the surface reached more than 8 meters at the location of Palu city. Processing is performed with COSI-CORR (Leprince et al., 2007). Data value higher than | 10 | meters should be considered as noise and disregarded. I used a correlation window size of 32 pixels with a sampling step of 16 pixels. A ramp has been removed from (separately) the North-South offsets and from the East-West offsets. The files are rasters of floating point values, served with a header file readable by ENVI software.</p> <p>Sign conventions:</p> <p>-North-South offsets: positive values to the North.</p> <p>- East-West offsets: positive values to the West.</p> <p> </p> <p><a href="http://www.esa.int/spaceinimages/Images/2018/10/Indonesia_earthquake_displacement_data">http://www.esa.int/spaceinimages/Images/2018/10/Indonesia_earthquake_displacement_data</a></p> <p><strong>Copyright:</strong> Contains modified Copernicus Sentinel data (2018), processed at the French Geological Survey (BRGM)</p> <p> </p> <p> </p>
Subpixel optical correlation co-seismic offsets for the Mw 6.4 and Mw 7.1 Ridgecrest, California earthquakes, from Copernicus Sentinel 2 data
<p>Two strong earthquakes (Mw 6.4 and Mw 7.1) took place near Ridgecrest, California, on July 4 2019 and July 6, respectively.</p> <p><a href="https://earthquake.usgs.gov/earthquakes/eventpage/ci38443183/executive">https://earthquake.usgs.gov/earthquakes/eventpage/ci38443183/executive</a></p> <p><a href="https://earthquake.usgs.gov/earthquakes/eventpage/ci38457511/executive">https://earthquake.usgs.gov/earthquakes/eventpage/ci38457511/executive</a></p> <p>In order to assess surface ruptures and the displacement field from the earthquakes, we used subpixel image correlation with Copernicus Sentinel-2 optical imagery (Band 4). MicMac and CosiCorr software was used to to extract the 2D (East-West and North-South) horizontal co-seismic displacement field.</p> <p>Four high-resolution figures are given per method and component (EW and NS). Road network (white lines - from OpenStreetMap) and Quaternary Faults (black polylines) from USGS (<a href="https://earthquake.usgs.gov/hazards/qfaults/">https://earthquake.usgs.gov/hazards/qfaults/</a>) are used for overlay.</p> <p>Rasters are given per software used (MICMAC_ for MicMac and COSI for CosiCorr), with a pixel resolution of 20m. Final product is corrected with detrending (to remove mostly registration errors) and filtered to remove noise. Stripes resulting from pushbroom scanner and orbit errors were not removed at this product (visible as WNW-ESE and NNE-SSW linear parallel stripes).</p> <p>-North-South displacement: positive values to the North.</p> <p>- East-West displacement: positive values to the East.</p> <p>Raster files are projected in UTM Zone 11North WGS84 ( EPSG:32611)</p> <p> </p> <p>A contribution to <strong>CEOS Working Group Disasters:</strong> Seismic Demonstrator</p> <p><strong>Copyright:</strong> Contains modified Copernicus Sentinel data (2019), OpenStreetMap data (2019), Quaternary Fault and Fold Database of the United States - USGS (2019)</p>
Slip model and Relative Source Time Functions for the 2013 Mw 3.3 St. Gallen earthquake
<p>Slip model and Relative Source Time Functions for the the 2013 Mw 3.3 St. Gallen earthquake</p> <p>Király‐Proag, E., Satriano, C., Bernard, P., & Wiemer, S. (2019). Rupture process of the Mw 3.3 earthquake in the St. Gallen 2013 geothermal reservoir, Switzerland. Geophysical Research Letters, 46, doi: <a href="https://doi.org/10.1029/2019GL082911">10.1029/2019GL082911</a></p>
Stress measurements for 42 Mw 4.0-5.4 earthquakes during the 2019 Ridgecrest earthquake sequence
<p>The csv file “Ridgecrest_table2_v1.csv” contains measurements of apparent stress, stress parameter, and corner frequency.</p> <p><strong>EvtID</strong>: Earthquake’s Event ID in Southern California Earthquake Data Center (SCEDC, https://scedc.caltech.edu).</p> <p><strong>Mw: </strong>Moment magnitude</p> <p><strong>AST: </strong>Apparent stress measurements in MPa using a time domain algorithm.</p> <p><strong>AST_STD: </strong>Standard deviation of AST in log10 units.</p> <p><strong>ASF: </strong>Apparent stress measurements in MPa using a frequency domain algorithm. Station terms have been corrected.</p> <p><strong>ASF_STD: </strong>Standard deviation of ASF in log10 units.</p> <p><strong>Brune: </strong>Stress parameter or Brune’s stress drop in MPa</p> <p><strong>Brune_STD: </strong>Standard deviation of ASF in log10 units. Note that the uncertainty is estimated using a bootstrap approach.</p> <p><strong>Fc: </strong>Corner frequency of the geometric mean source spectra</p> <p><strong>Fc_STD: </strong>Standard deviation of Fc in log10 units. Note that the uncertainty is estimated using a bootstrap approach.</p> <p><strong>ASF_sub: </strong>Apparent stress measurements in MPa using a frequency domain algorithm. Unlike ASF, only the stations with station terms less than 3 are used. No correction for station terms.</p> <p><strong>ASF_stack: </strong>Apparent stress measurements in MPa using the geometric mean source spectra.</p> <p><strong>Depth: </strong>Centroid depth in km</p> <p><strong>Vs: </strong>S wave velocity at the centroid depth in km/s</p> <p><strong>Density: </strong>Density at the centroid depth in Mg/m<sup>3</sup></p> <p> </p>
Bearings damage dataset for the 5 MW reference drivetrain on spar type floating wind turbine
<p>This dataset contains simulated acceleration measurements for the 5MW reference drivetrain model installed on a spar-type floating wind turbine. Measurements are one-hour simulations with a sample rate of 200 Hz. See Data description file for details.</p> <p>How to cite: Dibaj, Ali, & Nejad, Amir. (2023). Bearings damage dataset for the 5 MW reference drivetrain on spar type floating wind turbine [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7674842</p>
Seismic records of the April 12, 2014 Solomon Islands (Mw = 7.6) earthquake (Sadeghi-Bagherabadi et al. 2023)
<p>Seismic records of the April 12, 2014 Solomon Islands (Mw = 7.6) earthquake (Sadeghi-Bagherabadi et al. 2023), recorded by the CIGSIP temporarry network in the western Arabia-Eurasia collision zone.</p> <p>Contact:<br> Amir Sadeghi-Bagherabadi (amir.sadeghi@hotmail.com)</p> <p>It is a supplement to:</p> <p><strong>Sadeghi-Bagherabadi, A., Margheriti, L., Aoudia, A., Baccheschi, P., Lucente, F. P., Sobouti, F., (2023). Anisotropic Gradients in Iran: Quasi-Love Waves Illuminate the Deep Structure and Deformation Style of the Zagros, Alborz and Kopet Dagh. Journal of Geodynamics, <a href="https://doi.org/10.1016/j.jog.2023.101989">https://doi.org/10.1016/j.jog.2023.101989</a></strong></p> <p>If you use this dataset, please cite the following paper:</p> <p><strong>Sadeghi-Bagherabadi, A., Margheriti, L., Aoudia, A., Baccheschi, P., Lucente, F. P., Sobouti, F., (2023). Anisotropic Gradients in Iran: Quasi-Love Waves Illuminate the Deep Structure and Deformation Style of the Zagros, Alborz and Kopet Dagh. Journal of Geodynamics, <a href="https://doi.org/10.1016/j.jog.2023.101989">https://doi.org/10.1016/j.jog.2023.101989</a></strong></p> <p>_________________________________________________________________</p> <p><br> Table of contents: </p> <p>SAC_files.tar.gz : includes seismic records of the April 12, 2014 Solomon Islands (Mw = 7.6) earthquake. The SAC file names are formatted as: YYYY.MM.DD-hh.mm.ss._SSSc.sac. For example '2014.04.12-20.14.39._E01e.sac' is the E-W component of station E01</p> <p>Resp_files.tar.gz : includes the station response files. The response file names are formatted as:MSSS-resp.txt. For example 'ME01-resp.txt' is the response file for station E01.</p> <p>_________________________________________________________________</p> <p>The CIGSIP project was a trilateral undertaking by the Institute for Advanced Studies in Basic Sciences (IASBS), Geological Survey of Iran, and Chinese Academy of Sciences. CIGSIP was funded and supported by the Strategic Priority Research Program (B) (Grant number XDB03010802) and the International Partnership Program (GJHZ1776) of the Chinese Academy of Sciences.</p>
Ramp-Flat and Splay Faulting Illuminated by Frictional Afterslip Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake
<p>The postseismic InSAR data used in the manuscript "Frictional Afterslip along a Complex Fault Structure Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake Revealed by InSAR and 2-D Finite Element Models".</p>
Rheological structure and lithospheric stress interaction in the Alaska subduction zone gleaned from the 2018 Mw 7.9 oceanic crustal earthquake
<p>This repository contains the observed and modeled first 2-year timeseries of postseismic deformation at GPS sites in the best-fit model associated with the 2018 Mw 7.9 Kodiak, Alaska earthquake (Timeseries.rar), as well as the preferred afterslip on the fault (Afterslip.rar).</p>
InSAR coseismic deformation for the 22 January 2024, Mw 7.0, Wushi (northwestern China) earthquake
<p>This dataset includes coseismic InSAR deformation for the 2024 Mw 7.0 Wushi (northwestern China) earthquake, slip models as well as Coulomb stress change distributions.</p>
Spatiotemporal variation of the 2010 Yushu Mw 6.9 earthquake sequence: Insight from the 3-D electrical resistivity structure
<p>This dada set will be available in GRL, it was support by the Chinese Earthquake Administration, and it was also supported by the National Natural Science Foundation of China (Grant No. 41674081).</p>
Mechanism of the 2017 Mw 6.3 Pasni earthquake and its significance for future major earthquakes in the eastern Makran
<p>On 7th February 2017, a moment magnitude (M<sub>w</sub>) 6.3 earthquake rattled offshore Pasni in the eastern Makran and triggered a small tsunami. Using a combination of seismicity, multibeam bathymetry, seismic profile, InSAR measurements, and tide gauge observation, we conduct an in-depth investigation into the seismogenic structure, coseismic deformation, and tsunami characteristics of this event. Our results indicate that (1) the earthquake occurred on the shallow-dipping (3-4°) megathrust; (2) the megathrust co-seismically slipped 15 cm and caused ~2-4 cm ground subsidence and uplift at Pasni; (3) our tsunami modeling reproduces the observed 5-cm-high small tsunami waveforms. The Pasni earthquake rupture partially overlaps the 1851 and 1945 earthquake (M>8) slip patches, releasing estimated 3% and 7% of accumulative strain since then. With such stress perturbation, the Pasni earthquake could promote failure of megathrust in the future. This study calls for more preparedness in mitigating earthquake and associated hazards in the eastern Makran. </p>
Inventory of landslides triggered by the 2015 Mw 6.0 Sabah earthquake (Malaysia)
<p>These files are related to the paper “Landslides triggered by the 2015 Mw 6.0 Sabah (Malaysia) earthquake: inventory and ESI-07 intensity assignment” by Ferrario M.F., submitted to NHESS</p> <ul> <li>Shapefile of the mapped landslides and study area</li> <li>Spreadsheet with data on inventories of earthquake-triggered landslides</li> </ul>
3D locations of the radiators and the details of Coulomb stress about the Mw 7.3 East Cape earthquake
<p>This is part of the supplementary material of the paper " The 2021 Mw 7.3 East Cape earthquake: Triggered Rupture in Complex Faulting Revealed by Multi-Array Back-projections". The 3D locations of the radiators are in the file ‘S1.xlsx’. The details of Coulomb stress calculation are in the file ‘S2.xlsx to S9.xlsx’. </p>
Source model inputs and results - The July 2022 Mw 7.0 Northwestern Luzon Earthquake, Philippines
<p>This repository includes all the modelling inputs necessary to reproduce the results presented in 'Source Model and Characteristics of the 27 July 2022 M<sub>W</sub> 7.0 Northwestern Luzon Earthquake, Philippines' by Rimando et al. (2022) as follows: the fault geometries ('custom_fault_dip30_vaf,' 'custom_fault_dip30_abra'), the downsampled InSAR LOS deformation input ('statics'), the crustal model ('crust01'), and the run file which includes all the run parameters that were used ('luzon_run_clean'). </p> <p>Also included are the main outputs ('Abra_Results' and 'Vigan_Results') that Mudpy should produce using the abovementioned input files.</p> <p>Once an interested party downloads MudPy (MudPy v.1.0 was used for this study: https://github.com/dmelgarm/MudPy), these folders just have to be placed in their spots in the directory structure (outlined at https://github.com/dmelgarm/MudPy/wiki/) in order to reproduce the findings in Rimando et al. (2022).</p> <p><br> </p>
Earthquake Cycle Deformation Associated with the 2021 Mw 7.4 Maduo (Eastern Tibet) Earthquake: An Intrablock Rupture Event on a Slow-Slipping Fault from Sentinel-1 InSAR and Teleseismic Data
<p>Coseismic slip models of the 2021 Mw 7.4 Maduo (eastern Tibet) earthquake derived from Sentinel-1 InSAR and teleseismic data.</p> <p>Interseismic eastward and vertical velocity and maximum shear strain rate fields.</p> <p>Citations:</p> <p>Fang, J., Ou, Q., Wright, T. J., Okuwaki, R., Amey, R. M. J., Craig, T. J., et al. (2022). Earthquake cycle deformation associated with the 2021 M<span>W </span>7.4 Maduo (eastern Tibet) earthquake: An intrablock rupture event on a slow-slipping fault from Sentinel-1 InSAR and teleseismic data. Journal of Geophysical Research: Solid Earth, 127, e2022JB024268. <span>https://</span>doi.org/10.1029/2022JB024268</p> <p>Fang, J., Ou, Q., Wright, T. J., Okuwaki, R., Amey, R. M. J., Craig, T. J., et al. (2022). Earthquake cycle deformation associated with the 2021 M<span>W </span>7.4 Maduo (eastern Tibet) earthquake: An intrablock rupture event on a slow-slipping fault from Sentinel-1 InSAR and teleseismic data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7215161<span>.</span></p>
Machine-Learning Based Location of the 2021 MW 7.4 Maduo Earthquake Sequence: Insight into Intraplate Seismogenesis
<p>This file is the Machine-Learning Based earthquake catalog of the 2021 MW 7.4 Maduo Earthquake. It is only used for scientific research.</p> <p>ATTENTION!!!</p> <p>The data for the paper "Relocation of the 2024 MS 7.1 Wushi, Xinjiang earthquake sequence and implications for seismogenic structure" is accessible at the website "https://zenodo.org/records/12790377".</p> <p>ATTENTION!!!</p>
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