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781 results for “Earthquake”
Sentinel-1 InSAR Browse Service Image of the October 2016 Central Italian Earthquakes
<p>The surface deformation caused by the central Italian earthquakes which occured in October 2016 is captured in this terrain corrected interferogram produced by the Sentinel-1 InSAR Browse Service for the Geohazards Exploitation Platform.</p> <p>Two earthquakes occured on 26<sup>th</sup> October and one on 30<sup>th</sup> October. The Sentinel-1 datasets were acquired on 26-10-2016 for the master and 01-11-2016 for the slave from a descending pass so that the line of sight deformation is viewed from the east.</p> <p>Contains modified Copernicus Sentinel data (2016), processed by DLR/ESA/Terradue.</p>
Sentinel-1 InSAR Browse Service Image of the October 2016 Central Italian Earthquakes
<p>The surface deformation caused by the central Italian earthquakes which occured in October 2016 is captured in this terrain corrected interferogram produced by the Sentinel-1 InSAR Browse Service for the Geohazards Exploitation Platform.</p> <p>Two earthquakes occured on 26<sup>th</sup> October and one on 30<sup>th</sup> October. The Sentinel-1 datasets were acquired on 26-10-2016 for the master and 01-11-2016 for the slave from a descending pass so that the line of sight deformation is viewed from the east.</p> <p>Contains modified Copernicus Sentinel data (2016), processed by DLR/ESA/Terradue.</p>
Landslides from Space - Kumamoto Earthquake-triggered landslide, Japan (15th April 2016)
<p>The April 2016 Kumamoto earthquake in Japan triggered a huge landslide. This landslide appeared close to the village Tateno (Minamiaso, Aso District) and burried a railway line, a highway and destroyed a bridge.</p> <p>The pre-event acquisition is from 3rd March 2016 (Sentinel-2) and the post-event acquisition is from 25th May 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Landslides from Space - Kaikoura Earthquake-triggered Landslides, New Zealand (14th November 2016)
<p>On 14th November 2016 an earthquake with a maginitude of 7.8 triggered multiple landslides. Especially the village of Kaikoura was affected as it was cut off from the rest of New Zealand when its main road, State Highway 1. was blocked through multiple rockfalls and landslides.<br> <br> The pre-event acquisition is from 14th September 2016 (Sentinel-2) and the post-event acquisition is from 15th December 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Setup of the 2004 Sumatra-Andaman earthquake for SeisSol, version Shaking Corals
<p>Sample input dataset of the 2004 Sumatra-Andaman earthquake for SeisSol, version Shaking corals. The mesh consists of 3.645.163 elements and is partitioned to run with 20 MPI processes. SeisSol can be obtained from from Github (https://github.com/SeisSol/SeisSol/releases/tag/201703). A description on how to set up SeisSol is available in the artifact description of Uphoff et al. "Extreme scale multi-physics simulations of the tsunamigenic 2004 Sumatra megathrust earthquake", 2017 and in the Github Wiki (https://github.com/SeisSol/SeisSol/wiki).</p>
Intermediate depth earthquakes at the Hikurangi subduction zone, New Zealand
<p>This dataset contains a catalogue of intermediate depth earthquakes in the Hikurangi Subduction Zone, New Zealand, as well as computed focal mechanisms.</p> <p>If you use this dataset please cite the following paper:</p> <p>Mark, O.K., Illsley‐Kemp, F., Townend, J. and Barker, S.J., 2024. Evidence From Intermediate‐Depth Earthquakes of Slab‐Derived Fluids Beneath the Taupō Volcanic Zone. <em>Journal of Geophysical Research: Solid Earth</em>, <em>129</em>(5), p.e2023JB028586.</p>
High-resolution earthquake catalog obtained through template-matching in the Southern Apennine (Italy)
<p>This is an enhanced, high-resolution earthquake catalog obtained through template-matching (TM). It covers the area of the Southern Apennines (Italy), for the period 2009-2014</p> <p>Starting from about 4000 events used as templates, TM allowed to detect the hidden, small-magnitude seismicity in the 0-1 magnitude range, allowing a significant decrease of the magnitude of completeness in the resulting earthquake catalog.</p> <p>The catalog contains:</p> <ul> <li>templates (events catalogued by INGV and used as templates)</li> <li>template-matching detections (i.e. newly detected events by TM)</li> <li>events catalogued by INGV that are also found through template-matching</li> </ul> <p>All events are located with the same 1-D velocity model obtained by averaging several models that have been proposed in the literature, covering different portion of the Southern Apennines. </p> <p><strong>DATA STRUCTURE</strong></p> <p><strong>id</strong>: id of event. Events detected by template-matching start with 'TM', otherwise the id is the same as in the official INGV catalog.</p> <p><strong>lon</strong>: longitude (degrees)</p> <p><strong>lat</strong>: latitude (degrees)</p> <p><strong>depth</strong>: depth in km</p> <p><strong>time</strong>: origin time</p> <p><strong>M_l</strong>: local magnitude</p> <p><strong>lon_error</strong>: error on longitude (degrees)</p> <p><strong>lat_error</strong>: error on latitude (degrees)</p> <p><strong>depth_error</strong>: error on depth (km)</p> <p><strong>RMS</strong>: root-mean-square (sec)</p> <p><strong>az_gap</strong>: azimuthal gap</p> <p><strong>n_phases</strong>: total number of P and S arrivals </p> <p><strong>n_stations</strong>: total number of station recording the event</p> <p><strong>mag_diff</strong>: difference in magnitude between detection and its template</p> <p><strong>dt</strong>: difference in origin time between template and detected event (sec)</p> <p><strong>templ_id</strong>: id of the template event</p> <p><strong>as_template</strong>: =1 if the event was used as template, 0 otherwise</p> <p><strong>matched_TM</strong> (for events already catalogued by INGV): =1 if the events matched a detection made by template matching, =0 otherwise</p> <p><strong>matched_BSI</strong>: ==id of the corresponding event catalogued by INGV. For newly detected events (thus never catalogued before) this field is 'NA'</p>
Earthquakes unveil the global-scale fractality of the lithosphere
<p>The repository contains the post-processed data required to produce the figures of the article entitled <i>"Earthquakes unveil the global-scale fractality of the lithosphere"</i> under consideration in Communications Earth & Environment.</p><p>Data are divided in directories, each corresponding to an article figure and numbered accordingly.</p>
Machine learning predicts earthquakes in the continuum model of a rate-and-state fault with frictional heterogeneities
<p>Numerical data used to make Figures in the manuscript entitled "Machine learning predicts earthquakes in the continuum model of a rate-and-state fault with frictional heterogeneities". We provide the data to create Figures 1 to 4 from the main text and Figures S1 to S9 from the supplementary information. We also provide Python scripts to plot them.</p>
UAV-derived DEM and DOM along the co-seismic surface ruptures produced by the Mw5.7 aftershock during the 22-01-2024, Mw7.0 Wushi earthquake, Xinjiang, China
<p>This unmanned aerial vehicle (UAV) dataset was acquired by a DJI Matrice 300 RTK and a DJI Phantom 4 Pro, on February 3 and 5, 2024, respectively. The Digital Elevation Model (DEM) and Digital Orthophoto Map (DOM) were processed using the Agisoft Metashape Professional software. These data were used to map the co-seismic surface ruptures produced by the 29-01-2024, Mw5.7 aftershock following the 22-01-2024 Mw7.0 Wushi mainshock, Xinjiang, China, and to measure the associated vertical offsets along the surface ruptures.</p>
Fracture Data Supporting: 'The 2024 Mw4.8 New Jersey Intraplate Earthquake: Preferential Rupture of an Immature Fault in Frictionally Unstable Basement Rocks'
<p>The spreadsheets contain fracture and paleoslip surface datasets measured across the epicentral region of the April 5, 2024 Mw4.8 New Jersey earthquake. Datasets contain coordinates of outcrops, strike, dip, and trend/plunge or rake (where slickenlines are observed).</p>
Machine Learning Predicts Meter-Scale Laboratory Earthquakes
<p>Numerical data and Python scripts used to make Figures in the manuscript entitled "Machine Learning Predicts Meter-Scale Laboratory Earthquakes". We provide the data and scripts to create Figures 1 to 6 from the main text and Figures S1 to S15 from the supplementary information. Note that you should download the experimental catalog of Yamashita et al. (Nature Comm, 2021) and address the request for shear force data (experimental number LB12-011) to Futoshi Yamashita, the organizer of the target experiment. This code is developed using Python 3.11.7.</p>
Temple sites and earthquake zones in central India
<p>Temple sites and earthquakes zones in central India, showing distribution of damaged and undamaged buildings based on a partial survey undertaken in March 2020 (red=damaged; green = undamaged).</p><ul><li><a href="https://www.wikidata.org/wiki/Q116762395">Sihoniya सिहोनिया </a>(District Morena, Madhya Pradesh). <a href="https://doi.org/10.5281/zenodo.6576874">Kakanmath</a>.</li><li><a href="https://www.wikidata.org/wiki/Q2487545">Gwalior Fort ग्वालियर का क़िला</a> (District Gwalior, Madhya Pradesh). <a href="https://www.wikidata.org/wiki/Q7424948">Sās Bahu</a>.</li><li><a href="http://wikimapia.org/#lang=en&lat=25.952179&lon=78.177338&z=12&m=w&show=/17811820/Amrol">Amrol अमरोल</a> (District Gwalior, Madhya Pradesh). <a href="https://www.wikidata.org/wiki/Q97946694">Śiva temple</a>.</li><li><a href="https://www.wikidata.org/wiki/Q178948">Khajuraho खजुराहो</a> (District Chhatarpur, Madhya Pradesh). <a href="https://www.wikidata.org/wiki/Q26258435">Temple group</a>.</li><li><a href="http://wikimapia.org/#lang=en&lat=24.503199&lon=78.961573&z=15&m=bs&show=/42266012/Sun-temple-Umri">Umri उमरी</a> (District Tikamgarh, Madhya Pradesh). <a href="https://www.wikidata.org/wiki/Q97101444">Sun temple</a>.</li><li><a href="https://www.wikidata.org/wiki/Q6991044">Nemawar नेमावर</a> (District Dewas, Madhya Pradesh). <a href="https://www.wikidata.org/wiki/Q116182801">Siddhanāth</a>.</li><li><a href="https://www.wikidata.org/wiki/Q12416611">Un उन</a> (खरगोन ज़िला, Madhya Pradesh). <a href="https://doi.org/10.5281/zenodo.3733042">Śiva temple</a>.</li><li><a href="http://wikimapia.org/#lang=en&lat=21.986667&lon=76.021807&z=16&m=bs&show=/40057101/Temple&search=Boruth">Boruth बोरुथ</a> (खरगोन ज़िला, Madhya Pradesh). <a href="https://doi.org/10.5281/zenodo.3732976">Ruined temple</a>.</li><li><a href="https://www.wikidata.org/wiki/Q12446456">Māndhātā ओंकारेश्वर मांधाता</a> (District Khandwa, Madhya Pradesh). <a href="https://doi.org/10.5281/zenodo.5773997">Ruins of a temple destroyed by earthquake.</a></li><li><a href="https://www.wikidata.org/wiki/Q25247863">Udaypur उदयपुर</a> (District Vidisha, Madhya Pradesh). <a href="https://commons.wikimedia.org/wiki/File:Udaipur_Temple,_west_side.jpg">Śiva temple</a>.</li><li><a href="https://www.wikidata.org/wiki/Q28173479">Kadwaya कदवाया</a> (District Ashoknagar, Madhya Pradesh). <a href="https://commons.wikimedia.org/wiki/File:Matha_or_Monastery_at_Kadwaha.tif">Maṭha</a> and <a href="https://doi.org/10.5281/zenodo.8359697">Bhūteśvar temple</a>, and <a href="https://doi.org/10.5281/zenodo.8359659">adjacent mosque</a>.</li><li><a href="https://www.wikidata.org/wiki/Q115858066">Terahī तेरही</a> (District Shivpuri, Madhya Pradesh). <a href="https://www.wikidata.org/wiki/Q115859520">Temples and maṭha</a>.</li><li><a href="https://www.wikidata.org/wiki/Q56293237">Jagat जगत</a> (District Udaipur, Rajastan). <a href="https://www.wikidata.org/wiki/Q4741465">Ambikā Mātā temple</a>.</li><li><a href="https://www.wikidata.org/wiki/Q1425430">Ranakpur रणकपुर</a> (Rajasthan). <a href="https://upload.wikimedia.org/wikipedia/commons/8/86/Chaumukha_Jain_temple_at_Ranakpur_in_Aravalli_range_near_Udaipur_Rajasthan_India.jpg">Chaumukha Jain temple</a>.</li><li><a href="http://wikimapia.org/#lang=en&lat=23.142047&lon=78.711483&z=17&m=bs&show=/42165691/Ruined-temple">Gorakhpur गोरखपुर</a> (District Raisen रायसेन, Madhya Pradesh). <a href="https://doi.org/10.5281/zenodo.10028195">Temple destroyed by earthquake</a>.</li></ul>
Centroid Moment Tensor solutions for the earthquake dataset of the project IMAGINE_IT
<p>The project IMAGINE_IT (PI Dr. Dimitri Komatitsch) received 40 million CPU-hours on the Tier-0 GENCI/TGCC CURIE supercomputer as a winner of the 9th PRACE consortium call (2014). </p> <p>The awarded computational resources allowed us to construct a new 3D tomographic model for the Italian lithosphere, <em>Im25</em>,<em> </em>by combining spectral-element three-dimensional wavefield simulations and an adjoint-state method.</p> <p>To obtain the final model <em>Im25, </em>we performed 25 adjoint tomography iterations. Moreover, two additional source inversion iterations have been performed in order to improve the earthquake source parameter estimates and reduce the misfit between observed and synthetic seismograms: one inversion using the 3D wavespeed model considered as starting model of the tomographic procedure, and one inversion for the improved wavespeed model at iteration 12 (<em>Im12</em>). </p> <p>The presented table contains the Centroid Moment Tensor parameters of the163 earthquakes considered in the IMAGINE_IT project for: the initial (Time Domain Moment Tensor; http://terremoti.ingv.it/) source solution based on a 1D wavespeed model (iter=0), the source inversion solution with the starting 3D wavespeed model (iter=1), and the source inversion solution with model <em>Im12</em> (iter=2). <strong> </strong></p>
Documentation and digital files in support of "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938–2021" by Carl Tape and Anthony Lomax: Parts B, C, and D
<p>These files support a manuscript to be submitted entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021," by Carl Tape and Anthony Lomax. This collection contains Parts B, C, and D. A separate collection contains Part A. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.</p>
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>
Legacy seismic data fo the 1928 Parral, Mexico earthquake (M6.3)
<p>This data set is part of the 01/11/1928 Parral, Mexico earthquake (M6.3)</p> <p>Includes records from the 1928 National Seismological Service SSN) network, recorded on Wiechert seismographs smoked paper, as well as records from the California network Caltech archive.</p> <p> </p>
Moment rate functios of shallow very low frequency earthquakes off the Cape Muroto and Kii Channel, along the Nankai Trough, Japan
<p>Moment rate functions of shallow very low frequency earthquakes (VLFEs) that occurred off the Cape Muroto and Kii Channel. A similar catalog but for southeast off the Kii Penisula can be downloaded from <a href="https://doi.org/10.5281/zenodo.5211090">https://doi.org/10.5281/zenodo.5211090 </a></p> <p>This data set is the supplement of "Takemura, S., Baba, S., Yabe, S., Emoto, K., Shiomi, K., & Matsuzawa, T. (2022). Source characteristics and along-strike variations of shallow very low frequency earthquake swarms on the Nankai Trough shallow plate boundary. <em>Geophysical Research Letters</em>, 49, e2022GL097979. <a href="https://doi.org/10.1029/2022GL097979">https://doi.org/10.1029/2022GL097979</a>"</p> <p><strong>Included files</strong></p> <ul> <li>YYYY-MM-DDThhmmssparam.stf<br> Parameter file for the Monte-Carlo-based simulated annealing estimation for a shallow VLFE occurred at hh:mm:ss on DDth MM YYYY (JST). Detection time, correlation coefficient, longitude, latitude, ratio (internal parameter), template index (internal parameter), assumed strike angle, dip angle, rake angle, source grid index (internal parameter), the number of the used stations, station list are included.</li> <li>YYYY-MM-DDThhmmss_STF.dat<br> Moment rate function for a shallow VLFE occurred at hh:mm:ss on DDth MM YYYY (JST). The optimal and original simulated annealing estimations are listed in the 2nd and 3rd columns, respectively. The time from the origin is represented in the 1st column</li> <li>VLFE_catalog.csv<br> CSV format file of Shallow VLFE catalog from Apr. 2004 to Mar. 2021. Origin time (JST), origin time (UTC), longitude (ºE), latitude (ºN), seismic moment (Nm), duration (s), VR (%), and Mw are listed.</li> <li>Data Set S1<br> CSV format file of shallow VLFE swarm catalog. Origin time (JST), epicenter locations, seismic moments, durations, moment magnitudes, VRs, and swarm indexes of each shallow VLFE. The “-” in the swarm index column means that this shallow VLFE does not belong to shallow VLFE swarms.</li> </ul> <p><strong>Citation</strong></p> <ul> <li>Takemura, S., Baba, S., Yabe, S., Emoto, K., Shiomi, K., & Matsuzawa, T. (2022). Source characteristics and along-strike variations of shallow very low frequency earthquake swarms on the Nankai Trough shallow plate boundary. <em>Geophysical Research Letters</em>, 49, e2022GL097979. <a href="https://doi.org/10.1029/2022GL097979">https://doi.org/10.1029/2022GL097979</a></li> <li>This data doi</li> </ul>
3-D displacement field produced by the 1959 Hebgen Lake earthquake
<p>The dataset contains EW, NS and vertical displacement component associated with the 1959 Hebgen Lake earthquake. The displacement maps were calculated from the aerial images collected in 1947 (pre-earthquake) and 1977 (post-earthquake). </p>
Earthquake Catalogues for DWARFS (Dense Westland Arrays Researching Fault Segmentation)
<p>This dataset contains earthquake hypocentral information catalogued as part of the DWARFS (Dense Westland Arrays Researching Fault Segmentation) broadband seismometer networks along New Zealand's Alpine Fault, between April 2019-April 2020.</p> <p>'Preferred Lat/Lon/Depth' refers to origin determined by method under 'Method'. HypoDD is the preferred method, but some origins could not be relocated and so we present the NonLinLoc derived origin instead. All magnitudes are Local magnitudes calculated using displacements on the vertical channel (MLv). All times are in UTC time. </p> <p>This dataset accompanies a publication recently submitted (July 2022) to the AGU journal 'Journal of Geophysical Research: Solid Earth' entitled 'Heterogeneity in microseismicity and stress near rupture-limiting section boundaries along the late interseismic Alpine Fault'. </p>
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