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781 results for “earthquakes”
ValEqt: A high-resolution Earthquake and Repeating earthquakes catalog of the 2017 Valparaiso sequence
<p><strong>The ValEqt earthquake catalog</strong></p> <p>Description:</p> <p>Catalog of earthquakes detected near the 2017 Mw=6.9 Valparaiso (Chile) earthquake from 01/01/2016 to 01/01/2021. We also include a catalog of ValEqt's repeating earthquakes.</p> <p>Methods used to build this dataset are extensively described in this paper : <em>Upcomming paper Doi</em></p> <p>Files:</p> <ol> <li><em>ValEqt.txt </em>: Earthquake catalog</li> <li><em>Repeater.txt</em> : Repeating earthquake catalog</li> </ol> <p> </p>
Data for A multi-phase biogeochemical model for mitigating earthquake-induced liquefaction via microbially induced desaturation and calcium carbonate precipitation
<p>This data accompanies the paper published in Biogeosciences, which can be found at https://doi.org/10.5194/egusphere-2022-1419.</p>
Global long period earthquake catalog
<p>This file contains information about long period earthquakes recorded in between 2010 and end of 2022</p>
Illuminating the Hierarchical Segmentation of Faults through an Unsupervised Learning Approach applied to clouds of earthquake hypocenters [Dataset]
<p>Data repository to the preprint “Illuminating the Hierarchical Segmentation of Faults through an Unsupersived Larning Approach applied to clouds of earthquake hypocenters” by Piegari et al. (2023), including the datasets for the three analyzed earthquake catalogs.</p>
Strain localization in sandstone-derived fault gouges under conditions relevant to earthquake nucleation
<p>Constraining strain localization and the growth of shear fabrics within brittle fault zones at sub-seismic slip rates are important for understanding fault strength and frictional stability. We conducted direct shear experiments on simulated sandstone-derived fault gouges at an effective normal stress of 40 MPa, pore fluid pressure of 15 MPa, and temperature of 100°C. Using a passive strain marker and X-ray Computed Tomography (XCT), we analyzed the spatial deformation of the gouge samples obtained from the strain-hardening stage to strain-softening stage to steady-state at shearing velocities of 1, 30, and 1000 µm/s. We developed a machine-learning-based automatic boundary detection method to recognize the shear zone fabrics and quantify the slip partitioning between each fabric element. Our results show that R1 and Y (or boundary) shears are the two major shear zone fabrics. At velocities of 1 and 30 µm/s, the relative amount of slip on R1 shears is displacement dependent and increases to ~20% at the strain-softening stage and then decreases to ~10–18% at steady-state. This trend is absent at high velocity with an amount of ~18% through all investigated stages. At all velocities, the relative amount of slip on Y and boundary shears increases linearly with displacement to a total of more than 50% at steady-state. Our study provides constraints for the development of the active slip zone, which is an important input parameter for the heat budget for small-magnitude earthquakes with limited slip (mm-dm), such as those occurring in induced seismicity.</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>
Geodetic dataset and slip models of the 2022 Chihshang earthquake sequence in eastern Taiwan
<p>This repository contains the geodetic dataset and corresponding slip models presented in Tang et al. (2023), "Nearby fault interaction within the double-vergence suture in eastern Taiwan during the 2022 Chihshang earthquake sequence".</p>
Coseismic Kinematics of the 2023 Kahramanmaras, Turkey Earthquake Sequence from InSAR and Optical Data
<p>We upload the supporting information and four high-resolution images Figures 1-4 in the manuscript accepted by the GRL journal (2023.07.31).</p>
Legacy seismic data for large repeating earthquakes in Mexico
<p>In this dataset we include, in two different compressed files:1) a set of images of scanned Galitzin legacy seismograms recorded at the De Bilt Seismological Station, The Netherlands, corresponding to different large Mexican earthquakes (M>7.0) occurred between 1928 and 1978, and 2) the corresponding vectorized and corrected data.</p> <p><br> Description of compressed files:</p> <p>1. DBN-Vectorized-Seismograms.zip , that contains the vectorized data.</p> <p>2. DBN-Scanned-Galitzin-Seismograms.zip , that contains the scanned images of seismograms.</p> <p> </p> <p>Description of the files:</p> <p>1. Naming of Data Files.<br> Data are archived in XY ASCII files. The files are named as: STN_yyyy_mm_dd_C_p?.txt. Here:</p> <p>STN refers to the Station identification code<br> yyyy stands for the four-digit year<br> mm designates the two-digit month<br> dd signifies the two-digit day<br> C indicates the Component (either Z, NS, or EW)<br> p? represents the segment (0, 1, or 2) when applicable. Seismograms are sometimes divided in more than one segment (up to 3). The first segment is labeled P0. Subsequent segments are named P1 and P2. </p> <p> </p> <p>2. Naming of Scanned images.<br> Data are archived in JPG images. The files are named as: STN_yyyy_mm_dd_C.jpg. Here:</p> <p>STN refers to the Station identification code<br> yyyy stands for the four-digit year<br> mm designates the two-digit month<br> dd signifies the two-digit day<br> C indicates the Component (either Z, NS, or EW)<br> </p>
Supplementary material for 3D Acoustic-Elastic Coupling with Gravity: The Dynamics of the 2018 Palu, Sulawesi Earthquake and Tsunami
<p>This repository contains the supplementary files for our SC21 submission: "3D Acoustic-Elastic Coupling with Gravity: The Dynamics of the 2018 Palu, Sulawesi Earthquake and Tsunami".</p> <p>It contains the input data for all simulations. For more details, please refer to the included README.md files.</p> <p> </p> <p>The directory "seissol-sc21-revision-source-code" contains the version of SeisSol that we used.</p> <p> </p>
Building damage assessment of Adassil, Morocco after 2023 Marrakesh–Safi earthquake
<p>The dataset contains shapefile of damaged and non damaged buildings of Adassil town, Chichaoua Province of the Marrakesh-Safi region of Morocco. The dataset has been created using openly available google buildings dataset, humanitarian open street data, MAXAR satellite data and segment-geospatial package. </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>
A Deep Learning-Based Low-Frequency Earthquake Catalog in Southern Vancouver Island
<p>A deep learning-based LFE catalog in southern Vancouver Island. Refer to the paper "<strong>Detection of Hidden Low-Frequency Earthquakes in Southern Vancouver Island with Deep Learning</strong>" by J.-T. Lin, A. M. Thomas, L. Bachelot, D. R. Toomey, J. Searcy, D. Melgar for details. The columns in the data are as follows: starttime: start of the detection window; OT: event origin time; lon: longitude; lat: latitude; depth: source depth in km; residual: averaged travel time residual; dt: shifted time from starttime to OT; N: number of stations used. </p>
Strain localization in sandstone-derived fault gouges under conditions relevant to earthquake nucleation
Open the record for dataset details and reuse information.
Data from: RockNet: Rockfall and earthquake detection and association via multitask learning and transfer learning
Open the record for dataset details and reuse information.
Impact of the 2011 Tohoku earthquake on the species diversity of rocky intertidal sessile assemblages
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Earthquake catalogue
<p>Earthquake catalogue describe earthquakes (>M4) occurred around Xiaojiang Fault zone since 1970 </p>
Modeling subduction megathrust earthquake cycle: Insights from a visco-elasto-plastic analog model
<p><strong>The dataset :</strong><br> The directory DATASET.zip provides data from subduction megathrust earthquake cycle analog experiments and results described in Caniven and Dominguez (2020). The data set contains all files for displacement fields (*.grd), time series of geodetic displacement (img_dcumul*.txt) and cumulative fault slip (profil*.gmt) and a spreadsheet file (*.numbers) used in plots of Figure 3 to Figure 10 in the paper. For each figure directory, we provide an example of script (SCRIPT_gmt*.txt) that can be used to display the data using the GMT software (Global Mapping Tools). The provided scripts have been developped to be used with GMT 5.4.4. The use of other versions may require some adjustments. See header of scripts for details.</p> <p><strong>The supporting movies :</strong><br> The Movies S1 and S2 show more complete records of experiments performed at two different tectonic loading rates. They corresponds to experiments analyzed in Figure 9 of the paper. Movies S1 is the "slow" experiment and Movies S2 is the "fast" one. The time-step is 5 seconds. All components of displacements field are plotted with associated profiles.</p> <p><strong>The analog model :</strong><br> The analog model reproduces subduction earthquake cycles using a multi-layered visco-elasto-plastic rheology. This includes the ductile mantle wedge with the overlying elastic part of the lithospheric plate and a subducting elastic oceanic crust. The frictional properties along the seismogenic zone favor stick-slip behavior from the trench to the brittle-ductile transition zone beyond which stable creep is dominant. Interseismic, coseismic and postseismic phases, including after-slip and viscoelastic relaxation are well reproduced. The model generates a wide range of slip events from creep to slow-slip events to earthquakes. Results reveals that the loading rate significantly controls fault slip stability by acting on the brittle-ductile coupling and the elastic strain energy stored during the interseismic stage. Slip properties depends also on the mean normal stress imposed along the fault zone. Finally, isolated and precursory slow-slip events are observed before the dynamic failure. The fault geometrical complexity is favored to explain the richness of the observed slip behavior.</p>
Data for: Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling
<p>This dataset is associated to the article "Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling " published in Seismological Research Letters (<a href="https://pubs.geoscienceworld.org/ssa/srl/article-abstract/doi/10.1785/0220200278/592607/Historical-Earthquake-Scenarios-for-the-Middle?">link</a>).</p> <p>It includes the following:</p> <ul> <li>The annotated photographs of the EAE (Earthquake Archeological Effects) inventoried in Iznik ("EAE_xxx.pdf").</li> <li>The 3D displacement signals used as input for obelisk modeling ("Displacement_xxx").</li> <li>The output obelisk displacement curves and final block shift values relative to base ("Obelisk_block_motion.pdf").</li> </ul>
Co- and Post-seismic Crustal Deformation Associated with the 2016 Kumamoto Earthquake Sequence Revealed by PALSAR-2 Pixel Tracking and InSAR
<p>This archive includes the dataset for the co- and post-seismic displacements associated with the 2016 Kumamoto earthquake in Japan detected by ALOS-2/PALSAR-2 data. All files are formatted as the MATLAB format. ALOS-2/PALSAR-2 level 1.1 data in this study were provided from the PIXEL (PALSAR Interferometry Consortium to Study our Evolving Land Surface) under a cooperative research contract with the Earthquake Research Institute, University of Tokyo. The ownership of ALOS-2/PALSAR-2 level 1.1 data belongs to JAXA.</p> <p> </p> <p>coseismic_datav1.mat contains the original PALSAR-2 pixel tracking data and 3D displacement components. You can display 3D displacement field using "display_3Ddisp.m".</p> <p>coseismc_flocv1.mat contains the isolated displacement discontinuities in the observation data.</p> <p>postseismic_asc_v1.mat contains the PALSAR-2 original InSAR data in the ascending orbit.</p> <p>postseismic_dsc_v1.mat contains the PALSAT-2 original InSAR data in the descending orbit.</p> <p>script_acrossp_p.m generates the profiles of post-seismic displacement profile across the profile.</p> <p>script_alongp_c.m generates the profiles of co-seismic displacement along the fault.</p> <p>script_alongp_p.m generates the profiles of post-seismic displacement along the fault.</p> <p>script_quasi_def.m generates the quasi-eastwest and the quasi-vertical displacement fields.</p> <p>script_ts.m generates the time-series of line-of-sight change using the sequence of InSAR data.</p> <p>-</p> <p>display_3Ddisp.m displays 3D displacement fields using "coseismic_datav1.m".</p> <p>coseis_Fdisp.mat contains data for along-fault displacement. (Lon, Lat, vertical, stv_vertical, horizontal_alongfault, stv_horizontal_alongfault, and topography)</p> <p>display_coseis_alongdisp.m generates figures for the along-fault displacement distribution using "coseis_Fdisp.mat".</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
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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.