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25 results for “Earthquake location”
6C dataset for Mw 7.4 Hualien earthquake on 2024-04-02 at station locations MDSA0 and NA01.
<p>This repository contains the 6-component data set recording the Hualien Mw 7.4 earthquake on 2024-04-02. It contains the data for two station locations MDSA0 and NA01. For both locations there are 3 component rotation rates and 3 component accelerations. The instrument type and the coresponding response is in the file instrument_response.txt. It also includes the coordinates of both stations.</p> <p>After removing the response the acceleration data will be in units 'm/s/s' and the rotation data will be in 'rad/s'. </p> <p>The MDSA0 station is situated in Hualien, Taiwan. One blueSeis-3A rotational sensor is collocated with a Nanometrics Titan accelerometer at depth of 0.5 m in a vault structure.</p> <p>The NA01 station is situated in Nanao, Taiwan. One blueSeis-3A rotational sensor is collocated with a Kinemetrics EpiSensor accelerometer at depth of 2 m in a vault structure.</p>
L'Aquila 2009 seismic sequence: integrated dataset of automatic first motion polarities focal mechanisms and RMT with HypoDD high quality relative earthquake locations
<p>This dataset is related to the L'Aquila 2009 seismic sequence that happened in Central Apennines (Italy).</p> <p>It contains:</p> <ul> <li>2782 quality selected focal mechanisms produced with the standard software FPFIT based on automatically determined first motion polarities of automatically detected and analyzed foreshocks and aftershocks recorded from January 2009 to December 2009 (flag <strong>fty</strong> in the header is MP)</li> <li>475 (out of 627) quality selected focal mechanisms produced with the standard software FPFIT also based on automatically determined first motion polarities but for only 3204 M<sub>L</sub> >= 1.9 earthquakes and by using take-off angles calculated within a local 3d tomographic velocity model (<a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2011GL047365">Di Stefano et al., 2011</a>) , published and released in <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2011JB008352">Chiaraluce et al., 2011</a> (flag <strong>fty</strong> in the header is JG)</li> <li>165 (out of 181) Regional Moment Tensors determined for earthquakes M<sub>L</sub> >= 3.0 based on broadband waveform inversion of ground velocities and published by <a href="https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/101/3/975/349796/Regional-Moment-Tensors-of-the-2009-L-Aquila">Hermann et al., 2011</a> (flag <strong>fty</strong> in the header is HM)</li> <li>The hypocenters of the total 3422 earthquakes reported in the present focal solutions dataset have been taken from the very high quality double difference locations of the about 64000 aftershocks reported in <a href="https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/jgrb.50130">Valoroso et al., 2013</a> and published, as part of the full dataset, <a href="https://doi.org/10.5281/zenodo.4036248">on Zenodo</a>. </li> </ul> <p>The association between the focal solutions and the HypoDD hypocenters has been performed through the direct use of the HypoDD event identifier where possible (the whole MP dataset) and through spatial and temporal earthquakes coordinates matching in all the other case by using the capability of a MySQL database. </p> <p>Two files are uploaded, one in plain text with blank separator, the second in plain text with ";" separator and .csv extension.</p> <p>Here below the header is explained.</p> <p><strong>OT_Date:</strong> date of the origin time in the format YYYY-MM-DD</p> <p><strong>OT_Time:</strong> time of the origin time in the format HH:mm:ss.dcm</p> <p><strong>lat:</strong> hypocenter latitude expressed in degrees </p> <p><strong>lon:</strong> hypocenter longitude east of Greenwich, expressed in degrees</p> <p><strong>dep:</strong> hypocenter depth expressed in km </p> <p><strong>ML:</strong> local magnitude (pure number) from <a href="https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/jgrb.50130">Valoroso et al., 2013</a> (see last column notes also)</p> <p> </p> <p><strong>id_dd:</strong> the hypoDD event identifier, allowing to directly connect to the <a href="https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/jgrb.50130">Valoroso et al., 2013</a> full dataset</p> <p><strong>IMPORTANT NOTE about st1 and st2 (below): </strong>the focal solutions are presented here based on the convention they where produced or published, so there are two different (but compatible) conventions for the fault plains orientation in the 3d space</p> <p><strong>st1:</strong></p> <ul> <li><strong>for fty=</strong>HM or JG this is the strike of plane 1 (CMT convention)</li> <li><strong>for fty=</strong>MP this is the <strong>strike of the dip direction </strong>of plain 1 (FPFIT convention)</li> </ul> <p><strong>dip1: </strong>dip of plane 1</p> <p><strong>rk1: </strong>rake of plane 1</p> <p><strong>st2:</strong></p> <ul> <li><strong>for fty=</strong>HM or JG this is the strike of plane 2 (CMT convention)</li> <li><strong>for fty=</strong>MP this is the <strong>strike of the dip direction </strong>of plain 2 (FPFIT convention)</li> </ul> <p><strong>dip2: </strong>dip of plane 2</p> <p><strong>rk2: </strong>rake of plane 2</p> <p><strong>fty:</strong> flag to distinguish the type of solution, CMT=HM or JG, FPFIT=MP</p> <p><strong>MW:</strong> only for HM, this columns reports also MW from <a href="https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/101/3/975/349796/Regional-Moment-Tensors-of-the-2009-L-Aquila">Hermann et al., 2011</a></p>
Earthquake Connection Indicator (ECI) table for the locations of the cult of Poseidon with earthquake-related epithets in the ancient Aegean Sea region
<p>The rationale behind this table is to categorize the spatial attachment of the evidence of the earthquake-related epithets of Poseidon to earthquake proxies in the region of the ancient Aegean Sea.</p> <h2>Attributes</h2> <h3><strong>Location</strong></h3> <p>States the location of a findspot of the evidence of an earthquake-related epithet of Poseidon.</p> <h3><strong>Epithet</strong></h3> <p>Identifies a specific earthquake-related epithet of Poseidon at a particular location.</p> <h3><strong>Earthquake_connection_indicator</strong></h3> <p>Each location of the cult of Poseidon with an earthquake-related epithet is attributed with a number from 1 to 3 based on its spatial ties to earthquake proxies. Earthquake proxies consist of active fault lines (Ganas, A., I. A. Oikonomou, and C. Tsimi. 2013. ‘NOAfaults: A Digital Database for Active Faults in Greece’. Bulletin of the Geological Society of Greece 47 (2): 518–30. https://doi.org/10.12681/bgsg.11079), and locations of ancient earthquake reports (Guidoboni, Emanuela, Graziano Ferrari, Gabriele Tarabusi, Giulia Sgattoni, Alberto Comastri, Dante Mariotti, Cecilia Ciuccarelli, Maria Giovanna Bianchi, and Gianluca Valensise. 2019. ‘CFTI5Med, the New Release of the Catalogue of Strong Earthquakes in Italy and in the Mediterranean Area’. Scientific Data 6 (1). https://doi.org/10.1038/s41597-019-0091-9; National Geophysical Data Center. 1972. ‘Global Significant Earthquake Database’. NOAA National Centers for Environmental Information. https://doi.org/10.7289/V5TD9V7K).</p> <p>ECI 1: A location with an attested cult of Poseidon with an earthquake-related epithet located more than 5 kilometers from the nearest active fault or an ancient earthquake report.</p> <p>ECI 2: A location with an attested cult of Poseidon with an earthquake-related epithet located within a 5-kilometer radius from an active fault line.</p> <p>ECI 3: A location with an attested cult of Poseidon with an earthquake-related epithet located either a) within a 5-kilometer radius from an active fault line with an ancient earthquake report anywhere along the particular fault; or b) within a 5-kilometer radius from an ancient earthquake report itself.</p> <h3><strong>Lat</strong></h3> <p>Latitude</p> <h3><strong>Long</strong></h3> <p>Longitude</p> <h3><strong>DB MAP testimony #</strong></h3> <p>ID number of a testimony of Poseidon with an earthquake-related epithet based on Bonnet C. (dir.), ERC Mapping Ancient Polytheisms 741182 (DB MAP), Toulouse 2017-2023: <a href="https://base-map-polytheisms.huma-num.fr/">https://base-map-polytheisms.huma-num.fr</a>. DOI: <a href="https://doi.org/10.34847/nkl.1e19sne6">https://doi.org/10.34847/nkl.1e19sne6.</a></p> <h3><strong>PHI ID</strong></h3> <p>IDs of inscriptions mentioning Poseidon with an earthquake-related epithet from the Searchable Greek Inscriptions (PHI, https://inscriptions.packhum.org/) as listed in the Greek Inscriptions in Space and Time dataset (GIST, Kaše, Vojtěch, Petra Heřmánková, and Adéla Sobotková. 2023. ‘GIST’. Zenodo. https://doi.org/10.5281/zenodo.10139110.). To search the ID at PHI, put the number at the end of the URL in the following format https://epigraphy.packhum.org/text/32602.</p> <h3><strong>Thely</strong></h3> <p>Indicates whether the evidence is listed in the book Thély, Ludovic. 2016. Les Grecs face aux catastrophes naturelles: savoirs, histoire, mémoire. Bibliothèque des Écoles françaises d’Athènes et de Rome : BEFAR. Athènes, Paris: École française ; diffusion De Boccard.</p>
The Interseismic Seismicity of the East Anatolian Fault Between 2007-2012 and Aftershock Locations of the 2020 Mw6.8 Sivrice Earthquake
<p>The two files include the seismicity along the Eastern Anatolian Fault In Turkey between 2007 and 2012 and the Aftershocks of the January 24, 2020 Mw6.8 Sivrice (Elazığ) earthquake.</p>
NLL-SSST-coherence high-precision earthquake location catalog for the 2023 Ojai, California earthquake sequence
<p><strong>Hypocenter catalog files and visualizations of high-precision, NLL-SSST-coherence earthquake locations for the 2023 M5.1 Ojai, California earthquake sequence and background seismicity (2128 events, 1980-01-01 to 2023-08-25).</strong></p> <p>NLL-SSST-coherence (<a href="https://doi.org/10.1029/2021JB023190">Lomax and Savvaidis, 2022</a>; <a href="https://doi.org/10.26443/seismica.v2i1.324">Lomax and Henry, 2023</a>) is an enhanced, absolute-timing earthquake location procedure which 1) iteratively generates spatially varying travel-time corrections to improve multi-scale location precision and 2) uses waveform similarity to improve fine-scale location precision.</p> <p>Relocations performed with phase arrival data available from <a href="http://service.scedc.caltech.edu">http://service.scedc.caltech.edu</a></p> <p>Visualizations include topography from <a href="https://opentopography.org">https://opentopography.org</a> and surface fault traces from <a href="https://usgs.maps.arcgis.com/apps/webappviewer/index.html?id=5a6038b3a1684561a9b0aadf88412fcf">https://usgs.maps.arcgis.com</a></p> <p> </p> <p>This repository contains:</p> <p><strong>Full catalog in CSV format</strong>:<br> CSV file data columns correspond to selected fields of the of NonLinLoc Hypocenter format output <a href="http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_">http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_</a></p> <p><strong>Full catalog in NonLinLoc hyp format</strong>:<br> NonLinLoc Hypocenter format output <a href="http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_">http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_</a></p> <p><strong>Key NLL-SSST-coherence configuration files</strong>: NLL-SSST-coherence_config/*</p> <p><strong>Selected Visualization images</strong></p> <p> </p>
Station catalog in "Real-time earthquake location based on the Kalman filter formulation"
<p>Station catalog used to locate earthquakes in Parkfield, California, in the manuscript entitled "Real-time earthquake location based on the Kalman filter formulation" submitted to Geophysical Research Letters</p>
Input for Bayesloc calculations for locating the 27 February 2022 Lop Nor earthquake
<p>Steven J Gibbons, NGI<br> 2022-04-04</p> <p>The directories contained within this tar file contain all the files needed to calculate the location estimates<br> of the 2022-02-27 Lop Nor earthquake using the Bayesloc program with various sets of<br> inputs.<br> No output is included, only the input files:</p> <p>bayesloc.cfg<br> arrival.dat<br> station.dat<br> origin_prior.dat<br> and any traveltime tables needed.</p> <p>In each directory, the Bayesloc program is run by typing</p> <p>bayesloc bayesloc.cfg</p> <p>The directories are as follows:</p> <p>(a) USGS_P1only_singleevent<br> The following 5 files needed to locate using only the first P arrivals<br> in the NEIC solution (see Data and resources)</p> <p> ak135_P1.dat arrival.dat bayesloc.cfg origin_prior.dat station.dat</p> <p>(b) superset_singleevent<br> The following 6 files needed to locate using a set of arrivals based upon<br> the USGS arrivals, selected arrivals from the file ISC_info_20220402.txt,<br> and manual picks made from open stations available from IRIS.</p> <p> ak135_P1.dat ak135_S1.dat arrival.dat bayesloc.cfg origin_prior.dat station.dat</p> <p>(c) 11 different directories<br> fisk_900526<br> fisk_900816<br> fisk_920521<br> fisk_920925<br> fisk_931005<br> fisk_940610<br> fisk_941007<br> fisk_950515<br> fisk_950817<br> fisk_960608<br> fisk_960729<br> <br> In each of these directories, there are the files<br> ak135_P1.dat arrival.dat bayesloc.cfg origin_prior.dat station.dat<br> needed to locate one of the 11 nuclear explosions described in Fisk (2002)<br> on an event by event basis.</p> <p>(d) all_events_joint_USGSonly_fixedGT</p> <p> This solves for the location of the 20220227 event simultaneously with the<br> locations of the 11 GT nuclear tests, using only those arrivals chosen from<br> the USGS solution for the 20220227 event<br> (i.e. the arrivals in the directory USGS_P1only_singleevent )</p> <p> This directory contains five files<br> ak135_P1.dat arrival.dat bayesloc.cfg origin_prior.dat station.dat</p> <p>(e) all_events_joint_superset_fixedGT</p> <p> This solves for the location of the 20220227 event simultaneously with the<br> locations of the 11 GT nuclear tests, using the arrivals from the 20220227<br> event "superset" (i.e. the arrivals in the directory superset_singleevent )</p> <p> This directory contains six files<br> ak135_P1.dat ak135_S1.dat arrival.dat bayesloc.cfg origin_prior.dat station.dat</p> <p>The image "locations_panel.png" contains the output from each of the Bayesloc<br> calculations in these directories, plus a few others using the same input files but with<br> changes to the origin_prior.dat files such that the GT events are not fixed to the locations<br> specified by Fisk (2002).</p> <p>Panel (a) displays the bulletin location estimates listed in the file<br> "ISC_info_20220402.txt" together with the GT locations of the nuclear tests provided by<br> Fisk (2002).</p> <p>Panel (b) displays the results from the single event location runs: i.e. the outputs<br> from all of the directories</p> <p>fisk_900526<br> fisk_900816<br> fisk_920521<br> fisk_920925<br> fisk_931005<br> fisk_940610<br> fisk_941007<br> fisk_950515<br> fisk_950817<br> fisk_960608<br> fisk_960729<br> superset_singleevent<br> USGS_P1only_singleevent</p> <p>Panel (c) displays the locations when the files in the directory<br> all_events_joint_superset_fixedGT are run but with modifications<br> to the origin_prior.dat file to remove the 1 km lateral constraint on the GT<br> events. In addition, the brown points on this map are the output from<br> the directory all_events_joint_USGSonly_fixedGT but with the origin_prior.dat<br> modified to remove the constraints of the GT events.</p> <p>Panel (d) displays the locations when the files in the directory<br> all_events_joint_superset_fixedGT are run as they are.<br> In addition, the brown points on this map are the output from<br> the directory all_events_joint_USGSonly_fixedGT.</p> <p>In panels (c) and (d) the nuclear explosion locations are only displayed<br> for the calculations in the all_events_joint_superset_fixedGT directory.<br> The locations for these events obtained in the all_events_joint_USGSonly_fixedGT<br> directory are very similar.</p> <p>Data and resources<br> ------------------</p> <p>The Bayesloc probabilistic multiple seismic event location software was obtained from<br> <a href="https://www-gs.llnl.gov/nuclear-threat-reduction/nuclear-explosion-monitoring/bayesloc">https://www-gs.llnl.gov/nuclear-threat-reduction/nuclear-explosion-monitoring/bayesloc</a><br> (last accessed April 2022).</p> <p>The file ISC_info_20220402.txt is the output from a search of<br> <a href="http://www.isc.ac.uk/iscbulletin/">http://www.isc.ac.uk/iscbulletin/</a><br> performed on April 2, 2022. (ISC, 2022)</p> <p>The National Earthquake Information Center earthquake report for the 27 February 2022 event is found on<br> <a href="https://earthquake.usgs.gov/earthquakes/eventpage/us6000h0k8/executive">https://earthquake.usgs.gov/earthquakes/eventpage/us6000h0k8/executive</a><br> (last accessed April 2022).</p> <p>References<br> ----------</p> <p>Fisk, M. D. (2002). Accurate Locations of Nuclear Explosions at the Lop Nor Test Site Using Alignment of Seismograms and IKONOS Satellite Imagery. Bull. Seismol. Soc. Am. 92, 29112925. doi:<a href="http://dx.doi.org/10.1785/0120010268">10.1785/0120010268</a>.</p> <p>International Seismological Centre (2022), On-line Bulletin, <a href="https://doi.org/10.31905/D808B830">https://doi.org/10.31905/D808B830</a></p>
Located Earthquakes Loki's Castle 2019-2020 Deployment
<div>The dataset includes information about the 6977 located events from the 2019-2020 Loki ocean bottom seismometer deplyoment (network code: 8M). The events cover the deplyoment period of 11 months and were recorded by 8 ocean bottom seismometers west of Loki's Castle hydrothermal vent field with a station spacing of 5-6 km. Earthquakes were detected using Lassie, automatically picked using PhaseNet, and partially manually re-picked. Events for location were chosen to have at least 7 P phase picks and were located using NonLinLoc with the EDT_OT inversion scheme. Amplitudes were automatically picked with SEISANs automag function. Local magnitudes were calculated using the hypocentral distance. </div>
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>
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>
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>
Sand Dunes Earthquake Locations - hypoDD using Rio Grande Rift velocity model is preferred
<p>From the publication "Earthquake swarm near Great Sand Dunes, Colorado, investigated with temporary seismic network and machine learning seismic phase analysis." in the Mountain Geologist.</p> <p>Three catalogs were produced using different location algorithms. The catalog titled hypoDD_RGR is the preferred catalog.</p> <p>There were 717 events located by glass3 and SEISAN. 700 of those events were located by hypoDD. Column hypoDD_ID reconciles the events in all three catalogs.</p>
Seismic datasets in "Real-time earthquake location based on the Kalman filter formulation"
<p>Synthetic seismic dataset and Parkfield seismic dataset that used in the manuscript entitled "Real-time earthquake location based on the Kalman filter formulation" submitted to Geophysical Research Letters</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>
Crustal earthquakes location of Puyuhuapi Network
<p>This data are the locations of crustal earthquakes between August 2016 and May 2017, of a local network in the Andean Southern Volcanic zone, specifically in the 44°S, Puyuhuapi area. There are two type of earthquakes: (1) Class A events; event recorder in more than 6 station (of 13 possible stations), RMS less than 0.3 seconds (time root-mean-square error); and total location errors smaller than 3.5 km. This events were localize using HypoDD, and isolated event were localize with Hypocenter. (2) Class B events, events with at least 4 station recorder. This events where located with Hypocenter software. </p> <p>Both class of events have date, hour, minute, location, locations error, between others as is describe in the header.</p> <p>This is a contribution of FONDAP Project #15090013 (CEGA) a Chilean Scientific funding, and it was partially funding by the a Aysen Region of Chile local funding FIC “Estimación y valorización del potencial geotérmico de Aysén” BIP30346723-0 and the project “Factibilidad de cogeneración geotérmica en Puyuhuapi” BIP 40010311 .</p>
Improving out of network earthquake locations using prior seismicity for use in earthquake early warning
<p>relevant data and run-files related to manuscript: Improving out of network earthquake locations using prior seismicity for use in earthquake early warning</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>
Tsunami Deposits in the Guerrero Seismic Gap, Mexico: Insights from Location Analysis, Earthquake and Tsunami Models, and Proxy Dataset
<p><strong>Globally, the most significant tsunamigenic earthquakes have occurred along subduction zones. Catastrophic events surpassing magnitude 9, such as those witnessed in Chile, Sumatra, and Japan, have occurred in regions where instrumental records of similar events are lacking. Despite the absence of such occurrences along the 1000-kilometer-long Mexican subduction zone, historical and geological evidence strongly suggests the likelihood of a magnitude 8.6 tsunamigenic earthquake. However, the Guerrero seismic gap has remained devoid of high-magnitude earthquakes for over a century. In this study, we present findings from analyses of sediment grain size, geochemistry, microfossils, magnetic properties, and radiometric and optically stimulated luminescence dating conducted along the Guerrero coast. Our research provides compelling evidence of a 2000-year history of significant tsunamis triggered by potentially large earthquakes. Numerical modeling reinforces our conclusions, pointing to a magnitude >8 event occurring around the year 1300 in the Guerrero seismic gap. This evidence underscores the critical importance of evaluating earthquake and tsunami potential through long-term evidence and instrumental observations along subduction zones globally. Additionally, this dataset includes the locations of study sites, proxy data, and earthquake and tsunami models.</strong></p> <p><strong>Source data:</strong></p> <ol> <li>Grain size - Figure S1</li> <li>Geochemical - Figure S2</li> <li>Maximum tsunami wave amplitude - Figure 3d and S4</li> <li>Maximum tsunami wave amplitude - Figure S5c</li> </ol> <p> </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.