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781 results for “earthquakes”
The AlpArray-based ground motion visualization of teleseismic earthquakes
<p>We present a new comprehensive visual representation of global seismic phases using AlpArray. Our AlpArray-based animations connect spatial-temporal wavefield and time-dependent array method to visualize the evolution of teleseismic phases over time. Here are the animations of a few example teleseismic events occurred during the course of AlpArray (2016-2019).</p>
Very Early Postseismic Deformation following the 2015 Mw 8.3 Illapel Earthquake, Chile Revealed from High-rate GPS
<p>Daily.zip: daily GPS solutions at 12 Chilean stations</p> <p>Subdaily.zip: 1-Hz GPS Solutions at 12 Chilean stations.</p>
Data on the 2018 Central Tottori earthquake
<p>Important Point:</p> <p>This data set can be used only for validation and evaluation of the conclusions described in the following paper. Please refrain conducting a new research using this data set. If you wish to use the dataset for purposes other than the evaluation, please contact the corresponding author using the contacting system of the journal “Communications Earth & Environment”.</p> <p> </p> <p>Journal: Communications Earth & Environment</p> <p> </p> <p>Title:</p> <p>Stress relaxation arrested the mainshock rupture of the 2016 Central Tottori earthquake</p> <p> </p> <p>Authors:</p> <p>Yoshihisa Iio1, Satoshi Matsumoto2, Yusuke Yamashita1, Shin’ichi Sakai3, Kazuhide Tomisaka1, Masayo Sawada1, Takashi Iidaka3, Takaya Iwasaki3, Megumi Kamizono2, Hiroshi Katao1, Aitaro Kato3, Eiji Kurashimo3, Yoshiko Teguri4, Hiroo Tsuda5, Takashi Ueno4</p> <p>1 Disaster Prevention Research Institute, Kyoto University, Gokasho Uji, Japan</p> <p>2 Institute of Seismology and Volcanology, Faculty of Sciences, Kyushu University, Fukuoka, Japan</p> <p>3 Earthquake Research Institute, University of Tokyo, Tokyo, Japan</p> <p>4 Japan Meteorological Agency</p> <p>5 Ministry of Education, Culture, Sports, Science and Technology, Tokyo, Japan</p> <p> </p> <p>* Correspondence: Y. Iio, iio@rcep.dpri.kyoto-u.ac.jp; Tel.: 81-774-38-4200; ORCID: 0000-0003-0808-0757</p> <p> </p> <p>Description of the Data for the evaluation:</p> <p> </p> <p>Movie S1.mp4: Changes in the azimuths of the T axis along the fault-normal direction at all the depths. The results at a depth of 5 km are shown in Supplementary Fig. 8.</p> <p> </p> <p>Ctottori_trgfile_1-6.tar: Seismic waveform data of the win format from temporal observation stations</p> <p> </p> <p>Struct.ctr: 1-D Seismic velocity structure data file.</p> <p> </p> <p>Format:</p> <p>[1st line] Latitude (°), longitude (°), depth (km) of the initial epicenter</p> <p>[2nd line] Number of layers and structure name</p> <p>[3-4 lines] P-wave velocity at the top of each layer (km / s)</p> <p>[5-6 lines] S-wave velocity at the top of each layer (km / s)</p> <p>[7-8 lines] Thickness of each layer (km)</p> <p>[9th line] Uncertainty of the initial epicenter (at the time of the epicenter (s), latitude (km), longitude (km), depth (km))</p> <p> </p> <p>Parameters.txt: Important parameter data in the stress and ΔCFS calculation, aftershock locations, and focal mechanism estimation are listed in this file.</p>
Data for the research article: "Detecting Seismo-ionospheric Anomalies Possibly Associated with the 2019 Ridgecrest (California) Earthquakes by GNSS, CSES and Swarm Observations"
<p>The zip archives contain 10 .mat files (MATLAB readable). Each .mat file can be loaded into the MATLAB workspace using the <em>load</em> command.</p>
Stress Drop Catalog for "Spatio-temporal evolution of earthquake static stress drop values in the 2016-2017 Central Italy seismic sequence" - Kemna et al. 2021 JGR - Solid Earth
<p>Catalog with stress drop estimates for "Spatio-temporal evolution of earthquake static stress drop values in the 2016-2017 Central Italy seismic sequence"</p> <p>Kemna et al., 2021, JGR: Solid-Earth, https://doi.org/10.1029/2021JB022566.</p> <p>Description of columns:</p> <p><strong>Earthquake information</strong></p> <ul> <li>ID - INGV Earthquake ID</li> <li>Latitude - Latitude in Degrees</li> <li>Longitude - Longitude in Degrees</li> <li>Depth - Depth in km</li> <li>Magnitude_INGV - Magnitude reported by INGV</li> <li>Origin_UTC - UTC Origin Time in ISO Format</li> <li>Catalog - Catalog source of specific event. See section 2.1 for details</li> <li>Profile_distance_norcia - Distance of earthquake from Norcia Mainshock location projected onto a NW-SE trending line</li> <li>Dayafter_20160101 - Day after start of catalog in float</li> </ul> <p><strong>Single spectra fitting estimates</strong></p> <ul> <li>mw_s_mean - Moment Magnitude averaged over station estimates</li> <li>mw_s_err - 95% error (from delete-one jackknife-mean)</li> <li>m0_s_mean - Seismic Moment in Nm averaged over station estimates</li> <li>m0_s_err - 95 % error(from delete-one jackknife-mean)</li> <li>fc_s_sssa_mean - Corner frequency estimate averaged over station estimates</li> <li>fc_s_sssa_err - 95 % error(from delete-one jackknife-mean)</li> <li>strdrop_s_sssa_mean - Stress drop estimate averaged over station estimates</li> <li>strdrop_s_sssa_err - 95 % error(from delete-one jackknife-mean)</li> <li>sample_size_s_sssa - Number of stations with an estimate</li> <li>azimuthal_gap_s_sssa - Maximum azimuthal gap</li> <li>alpha_vel - P-wave velocity in m/s at Hypocenter</li> <li>beta_vel - S-wave velocity in m/s at Hypocenter</li> </ul> <p><strong>Cluster-event method estimates</strong></p> <ul> <li>fc_s_cema_mean - Corner frequency estimated averaged over clusters</li> <li>fc_s_cema_err - 95 % error(from delete-one jackknife-mean)</li> <li>strdrop_s_cema_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> <li>strdrop_s_cema_err - 95 % error</li> </ul> <p><strong>Spectral Ratio fitting estimates</strong></p> <ul> <li>fc1_s_rsta_mean - Target event corner frequency estimate using automatic source spectra fitting averaged over eGfs</li> <li>fc1_s_rsta_err - 95 % error(from delete-one jackknife-mean)</li> <li>strdrop_s_rsta_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> <li>strdrop_s_rsta_err - 95 % error</li> <li>egf_number_rsta_s - Number of eGfs for each target event</li> <li>fc1_s_rrta_mean - Target event corner frequency estimate using semi-automatic spectral ratiofitting averaged over eGfs</li> <li>fc1_strdrop_s_rrta_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> <li>fc2_s_rrea_mean - eGf event corner frequency estimate using semi-automatic spectral ratiofitting averaged over eGfs</li> <li>fc2_strdrop_s_rrea_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> </ul> <p><strong>Magnitude-normalized stress drop</strong></p> <ul> <li>prio_strdrop_s - Which type of estimate is used</li> <li>magbin_s - Magnitude bin to which event is associated</li> <li>prio_strdrop_s_magbinmean - Stress drop mean for specific magnitude bin</li> <li>prio_strdrop_s_magbinstderr - 95 % error(from delete-one jackknife-mean)</li> <li>prio_strdrop_s_magnitude-normalized - Magnitude-normalized stress drop estimate</li> </ul>
Surface rupture data and InSAR deformation of the March 24, 2021 Mw5.3 Baicheng earthquake, Xinjiang, China
<p>The co-seismic surface rupture data and map, range offset measurements, and the slip model of InSAR used to study the 2021 Baicheng (China) earthquake are included in this repository.</p>
Catalog of deep low-frequency earthquakes in 52 regions of Japan
<p>Catalog of deep low-frequency earthquakes in 52 regions all over Japan. </p> <p>Period: April 2004-December 2018</p> <p>This dataset includes all results of relocation, classification, and detection. </p> <p>The contents of analyses and results are published in "Journal of Geophysical Research" (<a href="https://doi.org/10.1029/2021JB022173">https://doi.org/10.1029/2021JB022173</a>).</p> <p><strong>Include files</strong></p> <p><strong>・regionlist.dat: </strong>List of target regions of this study.</p> <p>1regionname, 2min longitude, 3max longitude, 4min latitude, 5max latitude</p> <p><strong>・DLF_catalog_JMA: </strong>Results of relocation and classification for the DLF earthquakes in the earthquake catalog of Japan Meteorology Agency. </p> <p>20 Jul. 2021: Errors of relocated hypocenters were added.</p> <p><strong>・DLF_catalog_MFT: </strong>Results of detection for the DLF earthquakes based on Matched Filter Technique. Results of relocation and classification are also included. </p>
Earthquake records and ambient noise cross correlations from ENAP Magallanes seismographs, Jan 2019- Mar 2020
<p>This archive contains selected data and data products from 8 seismic monitoring stations operated by Empresa Nacional del Petroleo, Magallanes (ENAP). The data are selected earthquake records from January 2019 through March 2020, and the data products are time-frequency phase-weighted stacks of ambient noise cross correlations between ENAP stations and nearby permanent and temporary seismographs for the period from January 2019 through March 2020. These data and data products can be used, along with other seismic data available from the IRIS DMC (including some data that is embargoed as of the time of writing), to reproduce the authors' model for Vsv in Patagonia.</p>
SeisSol input files of the dynamic rupture scenarios of the 2004 Sumatra-Andaman earthquake published in Ulrich et al. (2021)
<p>This dataset contains the input files of the dynamic rupture scenarios of the 2004 Sumatra-Andaman earthquake presented in:</p> <p>Ulrich, T., Gabriel, A. A., Madden, E. H. (2021). Stress, rigidity and sediment strength control megathrust earthquake and tsunami dynamics. doi: 10.31223/osf.io/s9263.<br> </p> <p><strong>supermucNG_launch_script.sh</strong>: batch script for running a dynamic rupture earthquake scenario on Supermuc NG (LRZ).<br> <br> <strong>parameters_base_slab2.par, parameters_stronger_slab2.par, parameters_weaker_slab2.par</strong>: main parameter file for the base (resp. stronger, resp. weaker sediments) scenario.<br> <br> <strong>Sumatra_material_base_slab2.yaml, Sumatra_material_stronger_slab2.yaml, Sumatra_material_weaker_slab2.yaml</strong>: easi/yaml files describing the rock elastic and visco-plastic properties for each scenario.<br> It calls <strong>Sumatra_rhomulambda.yaml</strong> for the rock elastic properties and <strong>Sumatra_initial_stress_slab2.yaml</strong> for the stress tensor spatial variations.<br> <strong>Sumatra_fault_slab2.yaml</strong>: easi/yaml file describing the spatially variable on-fault parameters for the 3 main scenarios.<br> <strong>lithostaticStress_gamma.yaml</strong>: easi/yaml file describing the variations with depth of the lithostatic pressure, and specifying the pore fluid pressure ratio.<br> <br> <strong>Sumatra_fault_slab2_1d.yaml, Sumatra_initial_stress_slab2_1d.yaml, Sumatra_material_base_slab2_1d.yaml</strong>: easi/yaml files specific to the alternative scenario, which adopts a 1D PREM velocity structure.<br> <strong>Sumatra_fault_slab2_novar.yaml, Sumatra_initial_stress_slab2_novar.yaml, Sumatra_material_base_slab2_novar.yaml</strong>: easi/yaml files specific to the alternative dynamic rupture earthquake scenario in which no regional prestress variations are considered.<br> <br> <strong>Sumatra_slab2_layers_fixed.xdmf, Sumatra_slab2_layers_fixed</strong>: mesh file.</p>
Dataset of automated earthquake detections in the Hikurangi Margin (New Zealand) during the 2014 Slow Slip Event
<p>The dataset provided in this repository contains:</p> <p>- Yarce_REST_events.dat: Contains information of 854 events, with event id, origin time (epoch time), latitude, longitude, depth, number of P arrivals, number of S arrivals, total number of arrivals, local magnitude.</p> <p>- Yarce_REST_arrivals.data: Contains the arrival data information of the 854 events in Yarce_REST_events_v2.csv: event id, station, phase (P or S), arrival time.</p>
1971 San Fernando earthquake 3-D coseismic displacement field
<p>1971 San Fernando earthquake displacement maps and digital elevation models, produced using aerial photographs taken in 1969 and 1972. Images were acquired from the United States Geological Survey's Center for Earth Resources Observation and Science (EROS; http://earthexplorer.usgs.gov).</p> <p>1969-1972-EW.tif - east-west displacement map</p> <p>1969-1972-NS.tif - north-south displacement map</p> <p>1969-1972-vertical.tif - vertical displacement map</p> <p>1969-DEM.tif - digital elevation model produced from images acquired in the San Fernando Valley in 1969</p> <p>1972-DEM.tif - digital elevation model produced from images acquired in the San Fernando Valley in 1972</p>
Dynamic Rupture Modeling of the 2019 Ridgecrest Earthquakes
<p>This repository contains files needed to reproduce the 2019 Ridgecrest earthquake sequence dynamic rupture models using SeisSol (<a href="https://github.com/SeisSol/SeisSol">https://github.com/SeisSol/SeisSol</a>).</p>
Supplementary Dataset for "A new mechanical perspective on a shallow megathrust near-trench slip from the high- resolution fault model of the 2011 Tohoku-Oki earthquake"
<p>This dataset contains the results obtained by the analysis in this study, such as the digital data of the slip distribution and stress drop estimated by Kubota et al.(2022)</p>
The 2021 MW 6.2 Mamuju, West Sulawesi, Indonesia Earthquake: Partial rupture of the Makassar Strait Thrust
<p>Aftershock data sets for Paper Meilano et. al., 2022, The 2021 MW 6.2 Mamuju, West Sulawesi, Indonesia Earthquake: Partial rupture of the Makassar Strait Thrust published at GJI</p>
6 Feb 2023 'Kahramanmaras' earthquake displacement maps
<p>EW and NS displacement maps generated from single-pair feature tracking of the 25 Jan 2023 and 9 Feb 2023 Sentinel-2 images. Displacements were calculated with a custom version of the GIV software.</p>
Antelope Valley Earthquake Sequence Relocated Catalog
<p>Relocated earthquake catalog for the Antelope Valley Earthquake sequence in GrowClust output format. This is a space-delimited file with the following columns:</p> <ul> <li>yr mon day hr min sec: relocated origin time (columns 1-6)</li> <li>evid: event ID (column 7)</li> <li>latR lonR depR: relocated latitude, longitude and depth (decimal degrees and km; columns 8-10)</li> <li>mag: event magnitude (column 11)</li> <li>qID cID nbranch: event serial ID number, cluster serial ID number, total number of events in this cluster (columns 12-14)</li> <li>qnpair qndiffP qndiffS: number of event pairs, P-phase differential times, and S-phase differential times used to relocate this event (columns 15--17)</li> <li>rmsP rmsS: RMS residual differential times for this event for P-phases and S-phases (s; columns 18-19)</li> <li>eh ez et: estimated location errors in horizontal (km), vertical (km), and origin time (s; columns 20-22)</li> <li>latC lonC depC: initial (catalog) latitude, longitude and depth (decimal degrees and km; columns 23-25)</li> </ul> <p>Note that events that are not waveform relocated with have nbranch = 1. This includes the mainshock and several other large events, which typically have waveforms that are too complex to be confidently relocated with waveform cross-correlation.</p>
GNSS-Acoustic Data Capturing the Mw 8.2 July 28, 2021 Chignik Earthquake
<p>GNSS-Acoustic surveys collected at a site, SEM1, along the Alaska Subduction Zone southwest of Kodiak, AK from 2018-2021. These data contain positions close to the trench of the subduction zone both prior to and following the July 28, 2021 Mw 8.2 Chignik earthquake. Contains raw data files, data extractions in a text column format, and processed site positions.</p>
WP5.1 Stochastic and Empirical Multi-Hazard Event Sets for Europe: Earthquake Stochastic Event Set for Europe (ISO3166 code)
<p>Stochastic event set of earthquake ground motion sets, and respective event catalogue. The whole event set covers 10.000 years.<br> Ground motion provided as PGA and spectral components for [0.2s, 0.5s, 1.0s, 2.0s]. <br> csv files follow xyz-structure. Each column (except 1 and 2) represent an earthquake.<br> longitude/latitude/{Magnitude}_PGA{PGAmax}/...</p> <p>For spectral component, the final results were filtered removing events with maximum groundmotions <0.001g. </p>
Automated Earthquake Catalogues for CHARGE & CHARSME/CSN networks in South America (Pampean Flat Slab)
<p>This repository includes:</p> <p>1. Gzipped automated catalogues of earthquake locations with P and S arrival times for:</p> <ul> <li>The CHARGE network - charge.data.gz</li> <li>The CHARSME and CSN networks - charsme_csn.data.gz</li> </ul> <p>2. A README explaining the information in each column </p>
B-value, Slip and Stress related to the Antakya 2023 earthquake
<p>On-fault b map for the Antakya 2023 earthquake sequence using the Godano et al. 2021 method plotted with the slip and shear-stress calcolated for the two main earthquakes.</p> <p> </p> <p>C. Godano, V. Convertito, N. A. Pino, and A. Tramelli. An automated method for mapping independent spatial b values. Earth and Space Science, 9(6):e2021EA002205, 2022. e2021EA002205 2021EA002205.</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.