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662 results for “Seismicity”
Multi-channel seismic reflection profiles SALTFLU (Salt deformation and sub-salt fluid circulation in the Algero-Balearic abyssal plain) - Pre-Stack Kirchhoff Time & Depth Migration 2022
<p>This archive contains sections of reprocessed multi-channel seismic reflection profiles SALTFLU, acquired south of Ibiza (Spain) in 2012 with the OGS Explora (pre-stack Kirchhoff time and depth stacks, and migration velocities in SEG-Y format). It also contains the cruise report describing the survey acquisition in 2012. Connected articles describe the processing flow applied to this dataset and interpretations led by the first author. </p> <p>Field File Identification and Shot Numbers (FFID, SHOTNO) are linearly interpolated by matching the CMP numbers before and after migration. Bytes 73-76 and 77-80 are identical to bytes 181-184 and 185-188 and contain the CMP coordinates.</p> <p> </p> <p> </p> <p> </p>
Waveform data for centroid moment tensor solutions presented in publication "Bayesian seismic source inversion with a 3-D Earth model of the Japanese islands"
<p>The dataset includes waveform data for centroid moment tensor solutions inferred using Hamiltonian Monte Carlo and a 3-D Earth model in the Japanese islands. The data are provided as Green's strains at the maximum-likelihood location (indicated in the title of each text file) for all study events inverted at different periods. Inversion period is also indicated in the title. All the data are filtered between 15 s and 80 s. Additionally we provide a Python code to obtain displacement from strains given a moment tensor.</p>
VEL-Ar trajectory prediction model linear, co-seismic, and post-seismic grids for interpolation
<p>VEL-Ar trajectory prediction model linear, co-seismic, and post-seismic interpolation grids in ASCII format. The generation of these grids is described in http://doi.org/10.1007/s00190-015-0871-8</p>
New Zealand Wide model 2.1 seismic velocity model for New Zealand
<p><em><strong>21-May-2022</strong> There are updated Vp and Vp/Vs models 2.3, which incorporate the results from the Southern South Island region, at zenodo.org/record/6568301 </em></p> <p><strong>13-July-2021</strong> There are updated Qp and Qs models 2.3, which incorporate the results from the Kaikoura region, at zenodo.org/record/5098356</p> <p>May 2020. This model has now been updated. Please see NZwide2.2 model which contains 3D seismic velocity and Qs and Qp models, incorporating recent regional 3D studies, at zenodo.org/record/3779523</p> <p>----------------------------------------</p> <p>New Zealand Wide model 2.1 has a seismic velocity model for New Zealand, developed from local-earthquake tomography studies. It is updated to include the Otago model (Reyners et al., 2017).</p>
Forearc faults in northern Cascadia do not accommodate elastic strain driven by the megathrust seismic cycle: Dataset
<p>Input files and codes for Harrichhausen, N., Morell, K.D., Regalla, C. Inner forearc faults in northern Cascadia do not accommodate elastic strain driven by the megathrust seismic cycle. Submitted to Seismica. 2024.</p> <p>See Readme.md for more information</p> <p>Version 1.1: Updated author list and funding information.</p> <p>Version 1.2: Updated matlab codes to work on Mac.</p>
Catalog of relocated seismic sequences in Irpinia
<p>This catalog contains the hypocenter coordinates and the source parameters estimations for the enhanced catalogs of seismic sequences in Southern Apennines obtained in Scotto di Uccio et al. (2023)</p>
Evaluating Automated Seismic Event Detection Approaches: An Application to Victoria Land, East Antarctica
<p>This repository contains the waveform data used by Ho et al. (2024), along with all generated fine-tuned models and event catalogs. See the README file for a summary. The corresponding software packages are available on GitHub at <a href="https://github.com/jakewalter/easyQuake.git">https://github.com/jakewalter/easyQuake.git</a>, <a href="https://github.com/seisbench/seisbench">https://github.com/seisbench/seisbench</a>, and <a href="https://github.com/longmho/Transfer_Learning_and_Seisbench">https://github.com/longmho/Transfer_Learning_and_Seisbench</a>. See the README.md file at <a href="https://github.com/longmho/Transfer_Learning_and_Seisbench">https://github.com/longmho/Transfer_Learning_and_Seisbench</a> for additional details.</p>
Magnetic, gravity and seismicity data for the Monchique intrusion and surroundings (SW Portugal, SW Iberia)
<p>This dataset contains the following data:</p> <p> </p> <p><strong>1.</strong> Magnetic anomaly data (processed line data) acquired by drone-borne magnetometer for the Monchique area (.dat file)</p> <p><strong>2.</strong> Magnetic and gravity anomaly maps for the Monchique area in SW Portugal, SW Iberia:</p> <ul> <li>Magnetic anomaly (.tif and .grd files)</li> <li>Reduced to the pole (RTP) magnetic anomaly (.tif and .grd files)</li> <li>Free air gravity anomaly (.tif and .grd files)</li> <li>Complete Bouguer gravity anomaly, after terrain correction (.tif and .grd files)</li> </ul> <p><strong>3.</strong> Seimicity data:</p> <ul> <li>Relocated earthquakes that occurred between 01/01/2007 and 01/07/2023 in the Monchique area (.xlsx file)</li> <li>Focal mechanisms (moment tensor inversion solutions) of earthquakes occurred in the Monchique area (.xlsx file)</li> </ul> <p> </p> <p>For all details on data collection and processing please refer to:</p> <p>Neres, M., Camargo, G., Soares, A., Custódio, S., Bos, M., Vales, D., & Terrinha, P. (2024). Monchique alkaline magmatic intrusion (SW Iberia): Geophysical modeling and relationship with active seismicity and hydrothermalism. <em>Tectonophysics</em>. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.tecto.2024.230426" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tecto.2024.230426</a></p> <p> </p>
Final model for "Automated Large-Scale Full Seismic Waveform Inversion for North America and the North Atlantic" by Krischer et al. (2018)
<p>The HDF5 file contains the final model of the paper "Automated Large-Scale Full Seismic Waveform Inversion for North America and the North Atlantic" by Krischer et al. (2018), soon to be published in the Journal of Geophysical Research - Solid Earth.</p> <p>The "coordinates_0", "coordinates_1", and "coordinates_2" data sets are the coordinates along each dimension, here colatitude in degree, longitude in degree, and radius in meter, respectively. The regularly sampled data is available in five 3D-arrays in the "data" group: "vp", "vsv", "vsh", "rho", and "Q". Velocities are defined at 1 Hertz and are given in km/s, the density in kg/m^3. Q is Q_mu.</p> <p>The coordinates have to be rotated to yield true spherical Earth coordinates. They have to be rotated around on axis vector of 0.766044443118978/0.6427876096865393/0.0 in cartesian x/y/z coordinates by -30.0 degrees. Conversion of spherical to cartesian coordinates happens with the standard convention:</p> <p>x = r sin(theta) cos(phi)<br> y = r sin(theta) sin(phi)<br> z = r cos(theta)</p>
Map of Co-Seismic Landslides for the M 7.8 Kaikoura, New Zealand Earthquake
<p>Prepared by the Research Group on Earthquake Geology in Greece (http://eqgeogr.weebly.com/)</p> <p>Version 2 (updated)</p> <p>With the release of new Sentinel-2 images, and other available resources for the M7.8 Kaikoura earthquake, we present an update of the Map of Co-Seismic Landslides and Surfaces Ruptures (As of 27/11/2016). Landslides were mapped using Sentinel-2 satellite images from Copernicus, European Space Agency, dated November and December 2016. Images were visually compared with previous last available S2A images without cloud cover (13 September and 26 October) and landslides and large slope failures were manually mapped. Areas covered by cloud are omitted and shown on map. 5875 landslide sites are shown in the map. A small number of landslides could have been mis-identified due to insufficient resolution of the images, small gaps of cloud cover or for other reasons. Also, re-activated landslides on the central mountainous area were unabled to identify due to imagery restrictions (medium resolution, relief shadows etc). Some local gaps in Sentinel imagery still exist due to cloud cover, but we believe the current map is very close to the major distribution of mass movement effects. Surface ruptures were mapped using Sentinel-2 imagery and approximate position from photos of the post-earthquake aerial surveys of Environment Canterbury Regional Council (http://ecan.govt.nz)</p> <p>KML file contains7355 landslide spots.</p>
Chilean Seismic Catalogue - 1982 - mid-2020
<p>This repository contains the relocated catalogue of the <em>Centro Sismológico Nacional</em> (CSN, Universidad de Chile, <a href="http://www.sismologia.cl" target="_blank" rel="nofollow noreferrer noopener">http://www.sismologia.cl</a>).</p> <p>Contact:</p> <ul> <li>Bertrand Potin, <em>DGF, University of Chile</em> (<a href="mailto:bertrand.potin@uchile.cl">bertrand.potin@uchile.cl</a>)</li> <li>Sergio Ruiz, <em>DGF, University of Chile</em> (<a href="mailto:sruiz@uchile.cl">sruiz@uchile.cl</a>)</li> </ul> <p>Catalogues for both the seismicity and the clusters are formatted into CSV archives.</p> <h1>How to cite this material</h1> <h2>Material doi</h2> <p><a href="https://doi.org/10.5281/zenodo.13146436" target="_blank" rel="nofollow noreferrer noopener">https://doi.org/10.5281/zenodo.13146436</a></p> <h2>Related article</h2> <p>Potin, B., S. Ruiz, F. Aden-Antoniow, R. Madariaga, and S. Barrientos (2024). A Revised Chilean Seismic Catalog from 1982 to Mid-2020, <em>Seismol. Res. Lett.</em>. <a href="https://doi.org/10.1785/0220240047" target="_blank" rel="nofollow noreferrer noopener">https://doi.org/10.1785/0220240047</a></p> <h1>Files format</h1> <h2>CHILE_SEISMICITY_RELOCATED.csv</h2> <p>The file contains 1 header line and 118004 event lines (1 line per event) corresponding to all events between 1982 and mid-2020 relocated for this study.</p> <h3>Columns description:</h3> <ul> <li><strong>#</strong>: number of the event from 0 to 118003, in chronological order,</li> <li><strong>year</strong>: event origin time year (YYYY),</li> <li><strong>month</strong>: event origin time month (MM),</li> <li><strong>day</strong>: event origin time day (DD),</li> <li><strong>hour</strong>: event origin time hours (hh, [0,23]),</li> <li><strong>minute</strong>: event origin time minutes (mm, [0,59]),</li> <li><strong>second</strong>: event origin time seconds (ss.ss, [0.00,59.99]),</li> <li><strong>longitude</strong>: hypocentre longitude (xxxx.xxxx, [-76.2294,-64.8110]),</li> <li><strong>latitude</strong>: hypocentre latitude (xxx.xxxx, [-45.9796,-17.8178]),</li> <li><strong>depth</strong>: hypocentre geographical depth (xxx.xxxx, [-4.9540,336.5503]),</li> <li><strong>RMS</strong>: Root-mean-square of data adjustment in location process (see below for details),</li> <li><strong>magnitude</strong>: magnitude value, either a number [0.20,8.80] or empty when no magnitude was determined,</li> <li><strong>magnitude_type</strong>: <ul> <li><code>l</code>: local magnitude,</li> <li><code>c</code>: coda magnitude,</li> <li><code>w</code>: moment magnitude determined following Brune's spectral approach,</li> <li><code>ww</code>: moment magnitude determined following the W-phase approach,</li> <li><code>xx</code>: no magnitude.</li> </ul> </li> </ul> <h3>RMS computation:</h3> <p>See the gitlab link for more details <a href="https://gitlab.com/bertrand.potin/chilean_seismic_catalogue-1982-2020.git">https://gitlab.com/bertrand.potin/chilean_seismic_catalogue-1982-2020.git</a></p> <h3>file format example:</h3> <div> <pre><code>... 100870,2018,1,26,6,57,12.06,-71.403518,-29.438705,57.5149,0.26,2.8,l 100871,2018,1,26,9,50,6.16,-67.257799,-23.912037,190.2663,0.32,3.0,l 100872,2018,1,26,12,54,38.73,-71.32775,-31.009157,50.2409,0.31,4.1,l 100873,2018,1,26,13,27,5.3,-74.226795,-37.488853,21.4607,0.3,5.1,ww 100874,2018,1,26,15,4,52.48,-72.550192,-29.705678,16.8856,0.43,3.2,l 100875,2018,1,26,15,26,23.56,-73.808079,-37.575196,18.9708,0.6,5.0,ww 100876,2018,1,26,15,50,17.33,-68.686646,-21.865756,117.7657,0.27,3.2,l ...</code></pre> </div> <h2>CHILE_CLUSTERS_RELOCATED.csv</h2> <p>The file cointains 1 header line and 29263 event lines (1 line per event).</p> <h3>Columns description:</h3> <ul> <li><strong>year</strong>: event origin time year (YYYY),</li> <li><strong>month</strong>: event origin time month (MM),</li> <li><strong>day</strong>: event origin time day (DD),</li> <li><strong>hour</strong>: event origin time hours (hh, [0,23]),</li> <li><strong>minute</strong>: event origin time minutes (mm, [0,59]),</li> <li><strong>second</strong>: event origin time seconds (ss.ss, [0.00, 59.99]),</li> <li><strong>longitude</strong>: hypocentre longitude (xxxx.xxxx, [-76.2294,-64.8110]),</li> <li><strong>latitude</strong>: hypocentre latitude (xxx.xxxx, [-45.9796,-17.8179]),</li> <li><strong>depth</strong>: hypocentre geographical depth (xxx.xxxx, [-4.9540, 336.5503]),</li> <li><strong>RMS</strong>: Root-mean-square of data adjustment in location process (see above for details),</li> <li><strong>magnitude</strong>: magnitude value, either a number [2.43, 8.80] or empty when no magnitude was determined,</li> <li><strong>magnitude_type</strong>: <ul> <li><code>l</code>: local magnitude,</li> <li><code>c</code>: coda magnitude,</li> <li><code>w</code>: moment magnitude determined following Brune's spectral approach,</li> <li><code>ww</code>: moment magnitude determined following the W-phase approach,</li> <li><code>xx</code>: no magnitude.</li> </ul> </li> <li><strong>label</strong>: number between 0 and 48 used to identify clusters. Label order is random and do not indicate clasification of clusters. Some numbers are missing from the list because they correspond to deep clusters that where not included in the article.</li> </ul> <h3>file format example:</h3> <div> <pre><code>... 2017,3,8,13,33,55.53,-33.862827,-71.447657,58.5711,0.35,3.6,l,23 2017,7,16,8,19,31.55,-33.914015,-71.28985,49.62,0.19,4.0,l,23 2017,7,19,8,6,19.82,-33.871165,-71.348819,58.1362,0.23,3.7,l,23 2017,9,23,22,2,2.37,-33.761952,-71.504656,49.2679,0.43,4.9,ww,23 2017,10,27,2,8,18.04,-33.89703,-71.421792,50.3903,0.55,2.6,l,23 ...</code></pre> </div>
Multichannel Seismic Reflection Data from RV Pelagia during cruise 64PE-445 (SALTAX project)
<p>We present digital multichannel seismic reflection data from the central Red Sea. They were collected on RV Pelagia during cruise 64PE-445 as part of the SALTAX project (Augustin et al., 2019). A Delta Sparker system with 6 kJ and a dominant frequency of ~300 Hz was used as the seismic source. Seismic energy was recorded using a Microeel solid-state streamer with 24 channels and a length of 100 m. Data processing was carried out using VISTA software and comprised trace-editing, simple frequency filtering (50–2000 Hz), normal moveout correction (1500 m/s), common mid-point stacking, finite-difference post-stack migration, as well as top-muting and white noise removal. Interpretation of the seismic data was carried out using the KingdomSuite software of IHS.</p>
Supplementary Datasets for the Paper "A new view of seismicity under Mt. Etna volcano, Italy, 2014-2023 from multi-scale high-precision earthquake relocations"
<p>Supplementary Datasets for the Paper <br><strong>Mapping finite-fault earthquake slip with spatial correlation between seismicity and point-source Coulomb failure stress change </strong><br>by Anthony Lomax, Tiziana Tuvè, Elisabetta Giampiccolo, Ornella Cocina<br>DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">https://doi.org/xxxx</a></p> <p><strong>20240724A_Etna_Seismicity_2014-2023_INGV-OE_NLL-SC.csv</strong> is the catalog of NLL-SC relocations presented in the paper in CSV (.csv) format.</p> <p><strong>File_S1_catalog_config_run.zip</strong> includes the relocated NLL-SC catalog in CSV (.csv) and NLL-Hypocenter (.hyp) formats, along with pick data, configuration and other files used to run the NLL-SC relocations presented in the paper.</p>
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
<p>A multi-type geobody dataset for training SAG model, including channel, paloekarst, salt body, and so on.</p> <p>A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys (<a href="https://arxiv.org/abs/2409.04962">[2409.04962] A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys (arxiv.org)</a>)</p> <p> </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>
Mainshock+aftershock M4.95+ seismicity forecasts derived from the Regional Earthquake Likelihood Models (RELM) and the multiplicative hybrid earthquake models developed by Rhoades et al. (2014)
<p>Contains six mainshock+aftershock seismicity forecasts developed by the Working Group of the Regional Earthquake Likelihood Models (RELM) experiment, sixteen multiplicative hybrid forecasts created by Rhoades et al. (2014), and the 2011-2020 M4.95+ ANSS earthquake catalog for California. Six additional forecast files are included to properly conduct the comparative tests implemented in the Collaboratory for the Study of Earthquake Predictability (CSEP) testing centre.</p> <p>Forecasts are stored in tab separated value files with the following fields (the first row of data is shown as an example):</p> <pre>LON_0 LON_1 LAT_0 LAT_1 DEPTH_0 DEPTH_1 MAG_0 MAG_1 RATE FLAG -125.4 -125.3 40.1 40.2 0.0 30.0 4.95 5.05 5.8499099999999998e-04 1 </pre> <p>Forecast are described in detail by the following publications:</p> <p>Bird, P., and Z. Liu (2007). Seismic Hazard Inferred from Tectonics: California. Seismological Research Letters, 78(1):37-48.</p> <p>Ebel, J. E., D. W. Chambers, A. L. Kafka, and J. A. Baglivo (2007). Non-Poissonian Earthquake Clustering and the Hidden Markov Model as Bases for Earthquake Forecasting in California. Seismological Research Letters, 78(1): 57-65.</p> <p>Helmstetter, A., Y. Y. Kagan, and D. D. Jackson (2007). High-resolution Time-independent Grid-based Forecast for M >= 5 Earthquakes in California. Seismological Research Letters, 78(1): 78-86.</p> <p>Holliday, J., Chen, C., Tiampo, K., Rundle, J., Turcotte, D., and Donnellan, A. (2007). A RELM earthquake forecast based on pattern informatics. Seismological Research Letters, 78(1):87–93.</p> <p>Kagan, Y. Y., D. D. Jackson, and Y. Rong (2007). A Testable Five-Year Forecast of Moderate and Large Earthquakes in Southern California Based on Smoothed Seismicity. Seismological Research Letters, 78(1): 94-98.</p> <p>Rhoades, D.A., Gerstenberger, M.C., Christophersen, A., Zechar, J.D., Schorlemmer, D., Werner, M.J. and Jordan, T.H., 2014. Regional earthquake likelihood models II: Information gains of multiplicative hybrids. Bulletin of the Seismological Society of America, 104(6):3072-3083.</p> <p>Shen, Z.-K., D. D. Jackson, and Y. Y. Kagan (2007). Implications of Geodetic Strain Rate for Future Earthquakes, with a Five-Year Forecast of M5 Earthquakes in Southern California. Seismological Research Letters, 78(1):116-120.</p> <p>Ward, S. (2007). Methods for evaluating earthquake potential and likelihood in and around California. Seismological Research Letters, 78(1):121–133.</p> <p>Wiemer, S. and Schorlemmer, D. (2007). ALM: An asperity-based likelihood model for California. Seismological Research Letters, 78(1):134–140.</p>
Data sets of research paper "Towards SHM of medium-rise buildings in non-seismic areas" (2021)
<p>Accompanying data sets to the research article:</p> <p>Gaile L., Sliseris J., Ratnika L. Towards SHM of medium-rise buildings in non-seismic areas (2021) International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII, 2021-June, pp. 1023 - 1030.</p> <p>https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130738547&partnerID=40&md5=d1aaeceae696dadebb7862d4e556abd2</p>
A catalog of associated, machine-learning-derived phase arrival times for ten days of seismic data in the Yellowstone region
<p>This dataset contains the associated phase picks and event information from applying a deep learning phase picker to continuous data recorded over March 25 – April 3, 2014, on 20 three-component stations and 14 vertical-component stations in the Yellowstone region. This 10-day period contains an M<sub>w</sub> 4.8 event, the largest earthquake in the Yellowstone region since 1980. The catalog and deep learning phase picker are described in Armstrong et al. (submitted).</p> <p>The arrivals were associated using the method described by Baker et al. (2021) and located using HypoInverse2000 (Klein, 2002). There are 1,053 events in this catalog, including 855 that were previously unidentified. Events that also appear in the University of Utah Seismograph Stations catalog have an event identifier (evid) beginning with “6”, while new events begin with “9”. </p> <p>Columns include:</p> <ul> <li>A simple event number</li> <li>the network, station, channel, and location code for the arrival time</li> <li>the arrival time in UTC (arrival_time) and Unix (arrival_time_epoch) format</li> <li>any static correction applied to the arrival time</li> <li>the P-pick first motion polarity as determined by a machine learning model - up (1), down (-1), or unknown (0)</li> <li>the arrival time residual </li> <li>the take off angle in degrees </li> <li>the event latitude and longitude in degrees</li> <li>the event depth in km</li> <li>the event origin time in UTC (origin_time) and Unix (origin_time_epoch) format</li> <li>the azimuthal gap of the event in degrees</li> <li>the root mean square error (RMS) of the event location</li> <li>the event identifier (evid) - begins with a “6” for events in the UUSS catalog and a “9” for new events</li> </ul> <p> </p>
LASSO coherent seismic wavefield reconstruction and source imaging
<p>Coherent wavefield reconstruction and source imaging has been performed for 4 cataloged seismic events recorded with the Large-N Seismic Survey in Oklahoma (LASSO). The array consists of almost 2,000 densely spaced seismic stations and the corresponding raw time sries data have been made freely accessible by the Incorporated Research Institutions for Seismology (IRIS). The results for the 4 seismic events are accompanied with results gained for controlled seismic simulations for two of these events Reconstruction results and source images are provided in HDF5 and MAT file formats, respectively. File names were giving according to the following pattern: <br> <br> "LASSO_<<em>event name>_<reconstruction mode>_<result type>"</em></p> <p>where <<em>reconstruction mode</em>> refers either to "enhancement" (reconstruction performed for the original station layout) or "regularization" (reconstruction perfomed for a new, sense and regular station layout). <<em>result type</em>> denotes either reconstructed waveforms ("wavefield"), waveform coherence ("coherence"), or spatial source images. For the HDF5 files, mportant meta information like spatial coordinates and temporal sampling parameters are stored in a symbolic dictionary named "META", whereas the time series data is saved as a 2D matrix. Important META fields include "ntrac" (number of traces), "nt" (number of time samples), "dt" (dampling interval), "gx" (stations x coordinates), "gy" (stations y coordinates).<br> <br> The MAT files (result type "images") contain raw waveform and STA/LTA images, which are stored as 3D regular arrays named "recm1z_Enh_5_raw" (enhancement) / "recm1z_Reg5_5_raw" (regularization) and "recm1z_Enh_5_slta" (enhancement) / "recm1z_Reg5_5_slta" (regularization), respectively. For comparison, source images generated for the raw field data (without reconstruction are included in every MAT file and can be accessed through fields "recm1z_Raw_raw" and "recm1z_Raw_slta".</p>
Seismicity of Ireland datasets
<p>These seismicity catalogues accompany the paper by the authors "Seismicity of Ireland, and why it is so low," Geophysical Journal International, 2023.</p> <p>SOI-earthquake-catalogue-2010-2016:</p> <p>A catalogue of 193 natural (tectonic) earthquakes for 2010-2016, including 62 earthquakes known before this study and 131 additional events that were detected using cross-correlations and successfully located.</p> <p>SOI-quarry-blast-catalogue-2013-2014:</p> <p>A catalogue of 1297 quarry blasts that occurred in Ireland from 2013-07-30 to 2014-12-19. They were first detected by the Irish National Seismic Network (INSN) analysts and re-located in this study using all available stations in Ireland and nearby stations in Britain.</p> <p>SOI-mine-blast-catalogue-2013-2014:</p> <p>A catalogue of 42 mine blasts that occurred in Ireland from 2013-08-28 to 2014-12-17. They were first detected by the Irish National Seismic Network (INSN) analysts and re-located in this study using all available stations in Ireland and nearby stations in Britain.</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.