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781 results for “Earthquake”
First motion data and focal mechanism solutions of 108 earthquakes occurred between 1928 and 2019 in the Southeastern Alps
<p>This dataset contains the P-wave polarities readings (FPS_polarities_input.zip) and the focal mechanisms (FPFIT_solution.pdf, FPFIT_solution.csv) obtained by the FPFIT algorithm (Reasenberger and Oppenheimer, 1985) of 108 earthquakes with 1.9 ≤ M<sub> </sub>≤ 4.8 occurring between 1928 and 2019 in the Southeastern Alps area (latitude 45°N-47.5°N and longitude 10°E-15°E). The preferred solution for each earthquake has been reported in the focal mechanism catalogue of Saraò et al. (2020).</p> <p>The first polarities used to compute the focal mechanisms were manually picked from seismograms of the National Institute of Oceanography and Applied Geophysics (OGS) northeastern Italy seismic and deformation network (Priolo et al., 2005; Bragato et al., 2011, Bragato et al., 2020)or extracted from the Bulletin of the International Seismological Centre the Seismological Bulletin of Slovenia. The polarities were also read from the seismograms archived in various Italian and European seismological observatories, many of which are no longer operating (Osservatorio meteorico-sismico nel Seminario - Chiavari; ENEL, Osservatorio Ximeniano - Florence, Osservatorio Astronomico "Brera" -Milan, &nbspDipartimento di Fisica dell’Università di Padova - Padua,;Osservatorio S. Domenico – Prato, Osservatorio meteoro-sismico nel Santuario di N.S. - Oropa, Osservatorio Bina - Perugia, Osservatorio "Valerio"- Pesaro, Osservatorio meteorico-sismico nel Collegio Alberoni - Piacenza, Osservatorio Meteorico Istituto Fisica - University of Siena,Sismografi Lungo Periodo di Mantovani (Bologna, Bolzano, Grosseto, Naples, Olbia, Palermo, Turin), Osservatorio meteorico-sismico nel Seminario Maggiore - Treviso, Osservatorio meteorico-sismico nel Seminario Patriarcale – Venice, Ljubljana, Munich, Stuttgart, Vienna).</p> <p>For more details</p> <p>Saraò, A., Sugan, M., Bressan, G., Renner, G., and Restivo, A.: A focal mechanism catalogue of earthquakes that occurred in the southeastern Alps and surrounding areas from 1928–2019, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2020-369, in review, 2021.</p> <p> </p> <p>References:</p> <p>Bragato, P.L., Di Bartolomeo, P., Pesaresi, D., Plasencia Linares, M., and Saraò A.: Acquiring, archiving, analyzing and exchanging seismic data in real time at the Seismological Research Center of the OGS in Italy, Ann. Geophys. 54, 67–75, https://doi.org/10.4401/ag-4958, 2011.</p> <p>Bragato P.L., P. Comelli, A. Saraò, D. Zuliani, L. Moratto, V. Poggi, G. Rossi, C. Scaini, M. Sugan, C. Barnaba, P. Bernardi, M. Bertoni, G. Bressan, A. Compagno, P. Di Bartolomeo, E. Del Negro, P. Fabris, M. Garbin, M. Grossi, A. Magrin, E. Magrin, D. Pesaresi, B. Petrovic, M.P. Plasencia Linares, M. Romanelli, A. Snidarcig, L. Tunini, S. Urban, E. Venturini and S. Parolai (2020). The OGS- North-Eastern Italy Seismic and Deformation Network: current status and outlook. Submitted to Seism. Res. Lett. </p> <p>Priolo, E., Barnaba, C., Bernardi, P., Bernardis, G., Bragato, P.L., Bressan, G., Candido, M., Cazzador, E., Di Bartolomeo, P., Durì, G., Gentili, S., Govoni, A., Klinc, P., Kravanja, S., Laurenzano, G., Lovisa, L., Marotta, P., Michelini, A., Ponton F., Restivo, A., Romanelli, A., Snidarcig, A., Urban, S., Vuan, A., Zuliani, D.: Seismic monitoring in northeastern Italy: A ten-year experience, Seismol. Res. Lett., 76, 446–454, https://doi.org/10.1785/gssrl.76.4.446, 2005.</p> <p>Reasenberg, P., Oppenheimer, D.: FPFIT, FPPLOT and FPPAGE: Fortran computer programs for calculating and displaying earthquake fault-plane solutions, Open-File Rep., 85-739, USGS, Menlo Park, 109 pp., 1985.</p> <p>Saraò A., Sugan M., Bressan G., Renner G., Restivo A., 2020: Focal mechanisms of Southeastern Alps and surroundings, doi: 10.5281/zenodo.4284971 .</p>
Acceleration response of a benchmark 3 Story Structure (SAC) with MR damper under earthquake excitation
<p>This file contains acceleration response of benchmark 3 story structure equipped with MR damper under the Chuetsu-Oki earthquake in Niigata prefecture, Japan, which occurred on July 16th, 2007. Acceleration response of each story is separated and saved in separate text files. Text file contains four columns that the first one has been devoted to time series, while the remained (second, third, fourth) columns present acceleration responses in three perpendicular axes, X, Y, Z, respectively.</p>
Near surface softening and healing in eastern Honshu associated with the 2011 Tohoku-Oki Earthquake: Research data and code
<p>The zip file named 'mainshock.zip' contains the Matlab codes and seismic data for reproducing the results of Figure 2.</p> <p>The Excel file named 'Source Data.xls' contains the raw data of Figures 3 and 4.</p>
Observed and model postseismic time series at GPS sites due to the 2012 Craig and 2013 Haida Gwaii earthquakes
<p><strong>Files with the observed and model displacements, along with predicted model time series</strong>, which derive from the paper of '<em>Postseismic Deformation Due To the 2012 MW 7.8 Haida Gwaii and 2013 MW 7.5 Craig Earthquakes and Its Implications for regional rheological structure'</em>.</p> <p><strong>SITE.obs files:</strong> observed postseismic time series due to the 2012 Mw 7.8 Haida Gwaii and 2013 Mw 7.5 Craig earthquakes</p> <p><strong>SITE.mod files:</strong> Model postseismic displacements, along with predicted time series. Detailed explanations please see <strong>readme.txt</strong>.</p> <p><strong>GPS site names</strong> are the same with the study of Tian et al. (2021). </p> <p> </p>
Observed and model postseismic time series at GPS sites due to the 2012 Craig and 2013 Haida Gwaii earthquakes
<p><strong>Files with the observed and model displacements, along with predicted model time series</strong>, which derive from the paper of '<em>Postseismic Deformation Due To the 2012 MW 7.8 Haida Gwaii and 2013 MW 7.5 Craig Earthquakes and Its Implications for regional rheological structure' </em><strong>JGR: Soild Earth (2021), </strong><a href="https://doi.org/10.1029/2020JB020197">https://doi.org/10.1029/2020JB020197</a>.</p> <p><strong>SITE.obs files:</strong> observed postseismic time series due to the 2012 Mw 7.8 Haida Gwaii and 2013 Mw 7.5 Craig earthquakes</p> <p><strong>SITE.mod files:</strong> Model postseismic displacements, along with predicted time series. Detailed explanations please see <strong>readme.txt</strong>.</p> <p><strong>GPS site names</strong> are the same with the study of Tian et al. (2021). <a href="https://doi.org/10.1029/2020JB020197">https://doi.org/10.1029/2020JB020197</a>.</p>
Seismic release ratio of 2012 Emilia seismic source during the Earthquake sequances
<p>Seismology data of 2012 seismic sequence for calculate the seismir release ratio model along main seismic source. Data are download from INGV and DISS INGV catalogs. </p>
DIAPASON S1 Interferogram Japan Earthquakes April 2016
<p>Sentinel-1 interferogram generated in the cloud on the Geohazards Exploitation Platform (GEP), the initiative developed by the European Space Agency (ESA).</p> <p>The interferogram was generated on the platform and shows the ground displacement caused by the earthquakes that struck Japan in mid-April 2016. Two major earthquakes caused significant damage in and around the city of Kumamoto, on the island of Kyushu in southwest Japan. The first quake occurred on Thursday 14 April with a magnitude of 6.2 and was followed by several aftershocks until the bigger 7.0 magnitude quake on Friday 15 April which led to the earlier, smaller event to be reclassified as a foreshock. Both events are included in the period covered by the interferogram made with two Sentinel-1 images: one on 08 April (prior to the events), the other on 20 April 2016.</p> <p>The epicentres of the earthquakes were relatively close to the surface, at a depth of about 10 kilometres. According to the USGS the shallow depth and faulting mechanism of these earthquakes indicate that they occurred on a crustal fault within the upper Eurasia plate. In contrast to this recent sequence of shallow earthquakes, most seismicity in the Kyushu region is related to the subduction of the Philippine Sea plate at depth.</p> <p>The two earthquakes killed more than 40 people and caused several structures to collapse. The resulting landslides have destroyed roads and communities.</p>
Demo measurement using DIAPASON and Sentinel-1 after the 14 November 2016 earthquake in New Zealand
<p>Processing of Sentinel-1A acquisitions of 3rd and 15th Nov 2016 with CNES DIAPASON processing chain, integrated by TRE Altamira on ESA's Geohazard Exploitation Platform. Track 52, Ascending Orbit Direction.</p> <p>Contains modified Copernicus Sentinel data 2016</p>
Mw 7.8, 2016 New Zealand Earthquake Interferogram
<p>Interferogram from Sentinel-1A images acquired on ascending orbit (track 52) on November 3, 2016 and November 15, 2016, respectively</p>
February 2017 Western Turkey Earthquake Swarm Sentinel-1 TOPS Differential Interferogram (20170131-20170212)
<p>In february 2017 a series of earthquakes affected the Biga Peninsula in Western Turkey. Over 350 buildings sustained extensive damage. The seismic events occurred at the intersection of the Kestanbol Fault and the Edremit Fault Zone. The Sentinel-1 TOPS co-seismic interferogram was generated with the ESA SNAP toolbox (http://step.esa.int/).</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub: S1A_20170131-S1A_20170212 from ASCENDING orbit 131.</p> <p> </p>
LOTOS files for Local earthquake tomography of the Aegean crust: Implications for active deformation, large earthquakes, and arc volcanism
<p>This archive contains LOTOS codes and model files/folders associated with the publication "Local earthquake tomography of the Aegean crust: Implications for active deformation, large earthquakes, and arc volcanism" (inside Aeg_tomo.zip)</p> <p> </p> <p>New in version 2:</p> <p>3D model files as well as lateral sections for Vp, Vs, and Vp/Vs (inside nc_3d_model.zip)</p>
Macroseismic intensity data points for shallow 20th century earthquakes in the Hainaut coal area and the 1983 Liège earthquake (Belgium)
<p>This dataset contains macroseismic data points and source parameters for 28 shallow 20th-century earthquakes in the Hainaut area, as well as for the 1983-11-08 Liège earthquake, all in Belgium. For each earthquake, there is 1 CSV-file containing minimum and maximum evaluated macroseismic intensity, latitude, longitude, commune name, epicentral distance and azimuth. The source parameters (origin time, epicentral coordinates, hypocentral depth, magnitude, maximum intensity, macroseismic radius and number of observations) are listed in a XLSX file. The ID_EARTH column in this file corresponds to the first part of the CSV filenames.<br>The most significant difference with respect to the original dataset is an update of the coordinates of several Belgian localities that are used to locate the IDPs, resulting mainly in insignificant changes (<1 km difference for 96% of the IDPs used here), but a few outliers up to a difference of 22 km occur as well. This can result in significantly higher or lower epicentral distances for a few IDPs. Other adjustments to the data include the addition of intensity 1 values (not felt) and the removal, addition or modification of some IDPs (>20 IDPs in total). For the 1983 Liège earthquake (ID_EARTH=651), more significant changes were made to the IDP dataset as part of a major update of the ROB traditional macroseismic database, such as the addition of 297 new IDPs (~90% not felt), the modification of intensity values of 19 IDPs and the removal of 3 IDPs that were previously assigned to the wrong municipality.</p>
Earthquake source characterization with DAS - catalogs
<p>Catalog of events used for the analysis coduced in the paper:</p><p>"Sensing optical fibers for earthquake source characterization using raw DAS records" </p><p>by Strumia et al., 2023.</p>
Southern California Earthquake Center (SCEC) Community Geodetic Model (CGM)
<p><strong>Overview</strong></p><p>Measuring accurately the relative movement of the surface of the Earth is a critical constraint on the slow and broad tectonic loading and unloading to which faults respond, and is one of the few observations of the solid Earth that may be made directly without inference. High-precision geodetic observations, such as from Global Navigation Satellite Systems (GNSS), which includes the Global Positioning System (GPS), and interferometric synthetic aperture radar (InSAR), allow measurement of fault motions between, during and in the aftermath of earthquakes and other related tectonic phenomena, densely in both space and time.</p><p>The Community Geodetic Model (CGM) provides velocities and time series of observed points on the Earth's surface over Southern California using data from a number of contributing researchers, institutions and analysis centers. The GNSS products provide high temporal resolution (nominally daily measurement points for continuous stations) in three dimensions at specific observation sites and the InSAR products provide high spatial resolution (approximately one point per tens of m on the ground, depending on exact specifications of data and processing). Combined, they provide the ability to study crustal deformation over a wide range of distances and periods.</p><p>The CGM differs from other<a href="https://www.scec.org/research/cxm"> SCEC Community Models</a> in that it is constantly extending with time as new data are acquired daily, so it is not static.</p><p>The CGM version 1 (2016; <a href="https://doi.org/10.5281/zenodo.4926528">doi:10.5281/zenodo.4926528</a>) was a collection of time-independent (velocity-only) geodetic products gathered from published papers. The GNSS velocities were then combined and modeled by a Working Group researching methods and contributing interpolated deformation fields. The main goal of the CGM version 2 is to add time-dependent (time series) products to both the GNSS and InSAR products. For the GNSS, this is done by ingesting survey and (mostly) continuous time series from five analysis centers in the U.S.: the Geodetic Facility for the Advancement of Geoscience (GAGE); the Nevada Geodetic Laboratory (NGL) at the University of Nevada, Reno (UNR); the NASA Jet Propulsion Laboratory (JPL) and Scripps Orbital and Permanent Array Center (SOPAC) contributions to the MEaSUREs ESESES project; and the U.S. Geological Survey (USGS). Like the various contributions to the CGMv1 GNSS velocities, these time series are rigorously adjusted to be self-consistent, before a weighted mean is calculated to produce the consensus products. Much of the InSAR contribution is a consensus from research by the SCEC community within the CGM (InSAR) Working Group, whose individual contributions are listed below and in more detail in the README.txt file in the top directory of the archive. The CGMv2 is therefore a "union" or "superset" of survey and continuous GNSS and InSAR time series.</p><p>Please see<a href="https://www.scec.org/research/cgm"> https://www.scec.org/research/cgm</a> for more information.</p><p><strong>Version: CGMv2.0.0</strong></p><p>This is the second major release of the CGM (version 2.0.0) and is distributed as a zip-file. See below and in the README.txt file for information about the directory structure and contents of the entire zipped archive. Much of the SCEC5 activity was focused on the assembly of GNSS and InSAR time series for measuring temporally variable motions, expanding the CGMv1 with the time dimension. The CGMv2.0.0 is a time-dependent set of products, consisting of time series and velocities of the Earth's surface measured by GNSS and InSAR.</p><p><strong>Directory Structure and Contents</strong></p><p><strong>data/gnss/pos/</strong><br>The CGMv2.0.0 GNSS time series in <a href="https://www.unavco.org/data/gps-gnss/derived-products/docs/NOTICE-TO-DATA-PRODUCT-USERS-GPS-2013-03-15.pdf">"pos" format</a> (plain text), relative to various reference frames described below. Header lines in each file provide information about the nominal reference coordinates and data columns. Files named "*.wmrss_*" are the continuous stations (<i>w</i>eighted <i>m</i>ean with <i>r</i>e<i>s</i>caled <i>s</i>igma) and files named "*.final_" are the survey sites.</p><p><strong>data/gnss/pos/igb14/</strong> The International GNSS Service's (IGS's) <a href="https://lists.igs.org/pipermail/igsmail/2020/007917.html">revised realization of ITRF2014</a></p><p><strong>data/gnss/pos/nam14/ </strong>North America defined by <a href="https://doi.org/10.1093/gji/ggx136">Altamimi et al.'s (2017)</a> ITRF2014 plate motion model</p><p><strong>data/gnss/pos/pcf14/ </strong>The Pacific defined by <a href="https://doi.org/10.1093/gji/ggx136">Altamimi et al.'s (2017)</a> ITRF2014 plate motion model</p><p><strong>data/gnss/pos/nam17/ </strong>North America defined by <a href="https://doi.org/10.1029/2017JB015257">Kreemer et al. (2018)</a></p><p><strong>data/gnss/vel/</strong><br>The CGMv2.0.0 GNSS velocities in a CSV file similar to <a href="https://www.unavco.org/data/gps-gnss/derived-products/docs/NOTICE-TO-DATA-PRODUCT-USERS-GPS-2013-03-15.pdf">GAGE's "vel" format</a> (plain text), relative to the same reference frames described above. Header lines in each file provide information about the data columns.</p><p><strong>data/insar/</strong><br>The CGMv2.0.0 InSAR line-of-sight consensus time series and velocities for four ESA Sentinel-1 tracks (ascending tracks 64 and 166, and descending tracks 71 and 173) over Southern California, in an <a href="https://github.com/kmaterna/InSAR_CGM_readers_writers#cgm-insar-hdf5-structure">HDF5 format designed for the CGM</a>. A description of and reader for the HDF5 files may be found <a href="https://github.com/kmaterna/InSAR_CGM_readers_writers">here</a>.</p><p><strong>data/insar/contrib/</strong><br>Individual contributions to the InSAR time series and velocity products, as described below and in more detail in the top-level README.txt file.</p><p><strong>Contributors</strong></p><p>The GNSS time series are a weighted mean, after restoration of global scale if processed using Gipsy (JPL, NGL/UNR and USGS) and self-consistent alignment of reference frame, of the following GNSS analysis centers, whose products are publicly available at the embedded hyperlinks:</p><ul><li>The <a href="https://www.unavco.org/data/gps-gnss/derived-products/derived-products.html">Geodetic Facility for the Advancement of Geoscience (GAGE)</a> (<a href="https://doi.org/10.1002/2016RG000529">Herring et al., 2016</a>)</li><li>The <a href="http://geodesy.unr.edu/">Nevada Geodetic Laboratory</a> at the University of Nevada, Reno (<a href="https://doi.org/10.1029/2018EO104623">Blewitt et al., 2018</a>)</li><li>NASA's <a href="http://garner.ucsd.edu/pub/solutions/gipsy">Jet Propulsion Laboratory contribution</a> to the <a href="http://sopac-csrc.ucsd.edu/index.php/measures-2/">MEaSUREs ESESES Project</a></li><li><a href="http://sopac-csrc.ucsd.edu/">SOPAC</a>'s <a href="http://garner.ucsd.edu/pub/measuresESESES_products/Timeseries/">contribution</a> to the <a href="http://sopac-csrc.ucsd.edu/index.php/measures-2/">MEaSUREs ESESES Project</a></li><li>The <a href="https://earthquake.usgs.gov/monitoring/gps">United States Geological Survey</a> (<a href="https://doi.org/10.1785/0220160204">Murray and Svarc, 2017</a>)</li><li><a href="https://www.scec.org/user/zshen">Zheng-Kang Shen's (UCLA)</a> <a href="http://scec.ess.ucla.edu/~zshen/cgm/">survey time series</a></li></ul><p>Z.-K. Shen processed the raw data from the <a href="https://service.scedc.caltech.edu/gps/">SCEC survey-mode GPS data archive</a> to provide the corresponding time series and velocities. A. Gonzalez Ortega provided processed time series from <a href="https://regnom.cicese.mx/">CICESE's REGNOM network of continuous GNSS stations</a>. M. Floyd and T. Herring designed the download, alignment and combination of the publicly available continuous GNSS archives, listed above, in various reference frames.</p><p>Contributions from individuals and institutions within the SCEC community to the CGM (InSAR) products are:</p><ul><li>K. Wang contributed time series and velocity solutions</li><li>K. Guns and X. Xu contributed time series and velocity solutions</li><li>Z. Liu contributed time series and velocity solutions</li><li>S. Sangha, M. Govorcin and D. Bekaert contributed time series and velocity solutions</li><li>G. Funning contributed time series and velocity solutions</li><li>E. Tymofyeyeva calculated the combination of contributed solutions to generate the consensus product</li><li>K. Materna contributed time series and velocity solutions, and wrote the translation tools for converting to and from HDF5 format, as designed by all InSAR contributors listed immediately above plus M. Floyd</li></ul><p>Three groups (K. Guns and X. Xu; Z. Liu; and S. Sangha, M. Govorcin and D. Bekaert) independently processed interferograms from common raw datasets using different processing approaches.</p><p>E. Tymofyeyeva coordinated and led the InSAR Working Group.</p><p>M. Floyd coordinated and led the wider CGM Working Group.</p><p>All contributed to the design of the HDF5 format in which the InSAR products are distributed.</p>
Station Data and Earthquake Catalogs - Distinct yet adjacent earthquake sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale
<p>Supplemental Material for publication from The Seismic Record (TSR):</p> <div> <div> <div> <p>Yoon, C. E. and D. R. Shelly (2024). Distinct Yet Adjacent Earthquake Sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale, The Seismic Record. 4(1), 81–92, doi: 10.1785/0320230053.</p> <p>Data Sets S0-S4 with station data and earthquake catalogs in text format</p> <p>See README_Data_Supplement.pdf for more details about contents of each data file. Please refer to the accompanying publication and its supplement for figures, tables, and equations.</p> </div> </div> </div> <p> </p>
Focal mechanism solutions of 162 earthquakes occurred between 2014 and 2023 in the Southeastern Alps
<p>Focal mechanism solutions of 162 earthquakes occurred between 2014 and 2023 in the Southeastern Alps</p> <p>Andrea Magrin, Monica Sugan, Adriano Snidarcig, Maria Adelaide Romano, Mariangela Guidarelli, Marco Santulin, Paolo Di Bartolomeo, Angela Saraò</p> <p><strong> </strong></p> <p>Description</p> <p>This dataset includes focal mechanisms (FPFIT_solution.pdf, FPFIT_solution.csv) obtained with the FPFIT algorithm (Reasenberger and Oppenheimer, 1985) for 162 earthquakes with magnitudes Md between 2.8 and 3.6 that occurred between 2014 and 2023 in the Southeastern Alps region (45°N-47.5°N and 10°E-15°E). This dataset updates the catalogues Saraò et al., 2021a, b, and Sugan et al., 2020.</p> <p>The first polarities used to calculate the focal mechanisms are manually picked from seismograms recorded by the National Institute of Oceanography and Applied Geophysics (OGS) northeastern Italy seismic and deformation network (Sistema di Monitoraggio terrestre dell’Italia Nord Orientale - SMINO) (Priolo et al., 2005; Bragato et al., 2011; Bragato et al., 2021) and various Italian and European seismological observatories using temporary and permanent seismic networks. The permanent and temporary networks are as follows: CH – Swiss Seismological Service, 1983; GU – University of Genoa, 1967; IV – INGV Seismological Data Centre, 2005; MN – MedNet Project Partner Institutions, 1990; NI – OGS and University of Trieste, 2002; OE – ZAMG, 1987, 1990; OX – OGS, 2016; RF – University of Trieste, 1993; SI - Sudtirol Network, Italy (https://www.fdsn.org/networks/detail/S.I/; SL – Slovenian Environment Agency, 1990; ST – Geological Survey – Provincia Autonoma Di Trento, 1981; XT – Zhao et al, 2018; Y5 – Swiss Seismological Service, 2022; Z3 – AASN, 2015; ZO - Massa et al, 2021; ZS - Heit et al., 2017.</p> <p>The locations of the events are taken from the seismological bulletins of the OGS and the associated catalogues, which were published continuously from 1977 to 2014 (annual files) and are accessible via the Internet (http://www.crs.ogs.it/bollettino/RSFVG/). Since 2015, annual catalogues have been published in text format and annual bulletins in Quakeml format (Snidarcig et al., 2015, 2016, 2017, 2018, 2019, 2020a, 2021a, 2022a).</p> <p>In addition, unpublished solutions calculated for the studied area are extracted, reviewed and added from the annual reports of the OGS (Snidarcig et al., 2020b, 2021b, 2022b, 2023).</p> <p><strong> </strong></p> <p>References:</p> <p>Bragato, P.L., Di Bartolomeo, P., Pesaresi, D., Plasencia Linares, M., Saraò, A.: Acquiring, archiving, analyzing and exchanging seismic data in real time at the Seismological Research Center of the OGS in Italy, Ann. Geophys. 54, 67–75, https://doi.org/10.4401/ag-4958, 2011.</p> <p>Bragato, P. L., Comelli, P., Saraò, A., Zuliani, D., Moratto, L., Poggi, V., Rossi, G., Scaini, C., Sugan, M., Barnaba, C., Bernardi, P., Bertoni, M., Bressan, G., Compagno, A., Del Negro, E., Di Bartolomeo, P., Fabris, P., Garbin, M., Grossi, M., Magrin, A., Magrin, E., Pesaresi, D., Petrovic, B., Linares, M. P. P., Romanelli, M., Snidarcig, A., Tunini, L., Urban, S., Venturini, E., Parolai, S.: The OGS–Northeastern Italy Seismic and Deformation Network: Current Status and Outlook, Seismol. Res. Lett., 92, 1704–1716, https://doi.org/10.1785/0220200372, 2021. </p> <p>Priolo, E., Barnaba, C., Bernardi, P., Bernardis, G., Bragato, P.L., Bressan, G., Candido, M., Cazzador, E., Di Bartolomeo, P., Durì, G., Gentili, S., Govoni, A., Klinc, P., Kravanja, S., Laurenzano, G., Lovisa, L., Marotta, P., Michelini, A., Ponton F., Restivo, A., Romanelli, A., Snidarcig, A., Urban, S., Vuan, A., Zuliani, D.: Seismic monitoring in northeastern Italy: A ten-year experience, Seismol. Res. Lett., 76, 446–454, https://doi.org/10.1785/gssrl.76.4.446, 2005.</p> <p>Reasenberg, P., Oppenheimer, D.: FPFIT, FPPLOT and FPPAGE: Fortran computer programs for calculating and displaying earthquake fault-plane solutions, Open-File Rep., 85-739, USGS, Menlo Park, 109 pp., 1985.</p> <p>Saraò A., Sugan M., Bressan G., Renner G., Restivo A.: Focal mechanisms of Southeastern Alps and surroundings, doi: 10.5281/zenodo.4284971, 2020, a.</p> <p>Saraò, A., Sugan, M., Bressan, G., Renner, G., Restivo, A.: A focal mechanism catalogue of earthquakes that occurred in the southeastern Alps and surrounding areas from 1928–2019, Earth Syst. Sci. Data, 13, 2245–2258, https://doi.org/10.5194/essd-13-2245-2021, 2021, b.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, doi: 10.6092/58ff169a-2f02-46ae-908a-bdfcacea069c, 2015.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, doi: 10.6092/a608d853-755e-4177-aada-992857ccb44e, 2016.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, doi: 10.6092/3ff3c323-d7a4-4183-bea0-1a53814ac8b9, 2017.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, doi: 10.6092/c53f37ce-bcf3-453c-a2cf-1894d48cfbbb, 2018.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, doi: 10.6092/58ff169a-2f02-46ae-908a-bdfcacea069c, 2019.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, doi: 10.13120/108b8d94-361a-45f3-8195-fc4e8f73d264, 2020a</p> <p>Snidarcig, A., Bragato, P.L., Barnaba, C., Bertoni, M., Bressan, G., Comelli, P., Del Negro, E., Fabris, P., Gentili, S., Moratto, L., Peresan, A., Peruzza, L., Poggi, V., Priolo, E ,Rebez, A., Rossi, G., Sandron, D., Saraò, A., Scaini, C., Sugan, M., Tufaro, T., Urban, S., Zuliani, D., Bernardi, P., Di Bartolomeo, P., Grossi, M., Pesaresi, D., Pettenati, F., Plasencia Linares, M., Ponton, C., Restivo, A., Romanelli, M.: Accordo tra la Regione Autonoma Friuli Venezia Giulia e l’OGS per la collaborazione nell’ambito del monitoraggio sismico e meteomarino Relazione 2019 – Ambito Sismologico. Relazione Interna OGS 2020/22 CRS 7 SIRE. http://hdl.handle.net/20.500.14083/6700, 2020b.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, doi: 10.13120/8b252b09-314f-456f-812a-b05268ecd001, 2021a.</p> <p>Snidarcig, A., Bragato, P.L., Barnaba, C., Bertoni, M., Bressan, G., Comelli, P., Del Negro, E., Gentili, S., Magrin, A., Moratto, L., Peresan, A., Rebez, A., Rossi, G., Sandron, D., Saraò, A., Sugan, M., Tamaro, A., Urban, S., Zuliani, D., Bernardi, P., Compagno, A., Di Bartolomeo, P., Bottaro, G., Grossi, M., Magrin, E., Pesaresi, D., Pettenati, F., Plasencia Linares, M., Poggi, V., Ponton, C., Restivo, A., Romanelli, M.: Accordo tra la Regione Autonoma Friuli Venezia Giulia e l’OGS per la collaborazione nell’ambito del monitoraggio sismico e meteomarino. Relazione 2020 – Ambito Sismologico. Relazione Interna OGS 2021/29 CRS 7 RETI. https://hdl.handle.net/20.500.14083/18770, 2021b.</p> <p>Snidarcig, A., Bernardi, P., Bragato, P.L., Di Bartolomeo, P., Garbin, M., Urban, S.: Bollettino della Rete Sismometrica dell’Italia Nord Orientale (RSINO), [Data set]. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Trieste, Italy, http://www.crs.ogs.it/bollettino_new/, last access 16/02/2024, 2022a.</p> <p>Snidarcig, A., Bragato, P.L., Barnaba, C., Bertoni, M., Bressan, G., Comelli, P., Del Negro, E., Gentili, S., Klin, P., Laurenzano, G., Magrin, A., Moratto, L., Parolai, S., Peresan, A., Petrovic, B., Poggi, V., Priolo, E., Rebez, A., Rossi, G., Sandron, D., Saraò, A., Scaini, C., Sugan, M., Tamaro, A., Urban, S., Vuan, A., Zuliani, D., Bernardi, P., Compagno, A., Di Bartolomeo, P., Bottaro, G., Grossi, M., Magrin, E., Pesaresi, D., Pettenati, F., Plasencia Linares, M., Ponton, C., Romanelli, M.: Accordo tra la Regione Autonoma Friuli Venezia Giulia e l’OGS per la collaborazione nell’ambito del monitoraggio sismico e meteomarino. Relazione 2021 – Ambito Sismologico. Relazione 2022/74 Sez. CRS 7 RETI. https://hdl.handle.net/20.500.14083/17863, 2022b.</p> <p>Snidarcig, A., Bragato, P.L., Barnaba, C., Bertoni, M., Brondi, P., Comelli, P., Del Negro, E., Gentili, S., Magrin, A., Magrin, E., Moratto, L., Peresan, A., Petrovic, B., Poggi, V., Rebez, A., Rossi, G., Sandron, D., Saraò, A., Scaini, C., Sugan, M., Tunini, L., Zuliani, D., Bernardi, P., Compagno, A., Di Bartolomeo, P., Bottaro, G., Grossi, M., Pesaresi, D., Pettenati, F., Plasencia Linares, M., Ponton, C., Romanelli, M.: Accordo tra la Regione Autonoma Friuli Venezia Giulia e l’OGS per la collaborazione nell’ambito del monitoraggio sismico e meteomarino Relazione 2022 – Ambito Sismologico. Relazione Interna OGS 2023/72. https://hdl.handle.net/20.500.14083/24083, 2023.</p> <p>Sugan, M., Renner, G., Bressan, G., Restivo, A., Saraò, A.: First motion data and focal mechanism solutions of 108 earthquakes occurred between 1928 and 2019 in the Southeastern Alps [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4284929, 2020</p> <p>CH - Swiss Seismological Service (SED) At ETH Zurich: National Seismic Networks of Switzerland [Data set], ETH Zürich, Zurich, <a href="https://doi.org/10.12686/sed/networks/ch">https://doi.org/10.12686/sed/networks/ch</a>, 1983.</p> <p>GU - University of Genoa: Regional Seismic Network of North Western Italy [Data set], International Federation of Digital Seismograph Networks, <a href="https://doi.org/10.7914/SN/GU">https://doi.org/10.7914/SN/GU</a>, 1967.</p> <p>IV - INGV Seismological Data Centre: Rete Sismica Nazionale (RSN) [Data set], Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy, <a href="https://doi.org/10.13127/SD/X0FXnH7QfY">https://doi.org/10.13127/SD/X0FXnH7QfY</a>, 2005.</p> <p>MN - MedNet Project Partner Institutions: Mediterranean Very Broadband Seismographic Network (MedNet) [Data set], Istituto Nazionale di Geofisica e Vulcanologia (INGV), <a href="https://doi.org/10.13127/SD/fBBBtDtd6q">https://doi.org/10.13127/SD/fBBBtDtd6q</a>, 1990.</p> <p>NI - OGS – Istituto Nazionale Di Oceanografia E Di Geofisica Sperimentale – and University Of Trieste: North-East Italy Broadband Network [Data set], International Federation of Digital Seismograph Networks, <a href="https://doi.org/10.7914/SN/NI">https://doi.org/10.7914/SN/NI</a>, 2002.</p> <p>OE - ZAMG – Zentralanstalt Für Meterologie Und Geodynamik: Austrian Seismic Network [Data set], International Federation of Digital Seismograph Networks, <a href="https://doi.org/10.7914/SN/OE">https://doi.org/10.7914/SN/OE</a>, 1987.</p> <p>OX - OGS – Istituto Nazionale Di Oceanografia E Di Geofisica Sperimentale: North-East Italy Seismic Network [Data set], International Federation of Digital Seismograph Networks, <a href="https://doi.org/10.7914/SN/OX">https://doi.org/10.7914/SN/OX</a>, 2016.</p> <p>RF - University of Trieste: Friuli Venezia Giulia Accelerometric Network [Data set], International Federation of Digital Seismograph Networks, Trieste, <a href="https://doi.org/10.7914/SN/RF">https://doi.org/10.7914/SN/RF</a>, 1993.</p> <p>SL - Slovenian Environment Agency, Seismic Network of the Republic of Slovenia [Data set]. International Federation of Digital Seismograph Networks. <a href="https://doi.org/10.7914/SN/SL">https://doi.org/10.7914/SN/SL</a>, 1990</p> <p>ST - Geological Survey – Provincia Autonoma Di Trento: Trentino Seismic Network, International Federation of Digital Seismograph Networks [Data set], Trento, <a href="https://doi.org/10.7914/SN/ST">https://doi.org/10.7914/SN/ST</a>, 1981.</p> <p>XT - Zhao, L., Paul, A., Solarino, S., & RESIF., Seismic network XT: CIFALPS-2 temporary experiment (China-Italy-France Alps seismic transect #2 [Data set]. RESIF - Réseau Sismologique et géodésique Français. <a href="https://doi.org/10.15778/RESIF.XT2018">https://doi.org/10.15778/RESIF.XT2018</a>, 2018</p> <p>Y5 - Swiss Seismological Service (SED) at ETH Zurich, Swiss Contribution to AdriaArray Temporary Network; ETH Zurich. Other/Seismic network. <a href="https://doi.org/10.12686/SED/NETWORKS/Y5">https://doi.org/10.12686/SED/NETWORKS/Y5</a>, 2022</p> <p>Z3 - AlpArray Seismic Network: AlpArray Seismic Network (AASN) temporary component [Data set], AlpArray Working Group, <a href="https://doi.org/10.12686/alparray/z3_2015">https://doi.org/10.12686/alparray/z3_2015</a>, 2015.</p> <p>ZO - Massa, M., Rizzo, A. L., Lorenzetti, A., Lovati, S., D’Alema, E., Puglia, R., … Luzi, L.: Rete di monitoraggio multiparametrico del Garda (Nord Italia) - PDnet (Version 1.0) [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). <a href="https://doi.org/10.13127/SD/YHCFOMCBO_">https://doi.org/10.13127/SD/YHCFOMCBO_</a>, 2021.</p> <p>ZS - Heit, B.; Weber, M.; Tilmann, F.; Haberland, C.; Jia, Y.; Pesaresi, D.: The Swath-D Seismic Network in Italy and Austria. GFZ Data Services. Other/Seismic Network. <a href="http://doi.org/10.14470/MF7562601148">doi:10.14470/MF7562601148</a>, 2017.</p>
Plate interface geometry complexity and persistent heterogenous coupling revealed by a high-resolution earthquake focal mechanism catalog in Mentawai, Sumatra
<p>This website contains all the outputs from the study entitled “Plate interface geometry complexity and persistent heterogenous coupling revealed by a high-resolution earthquake focal mechanism catalog in Mentawai, Sumatra”. The contents include the seismic stations used in this study, obtained focal mechanism solutions, corresponding waveform fits, relocation results, and depth-phase modeling results. Each figure (started with ${ID}) is corresponding to the Earthquake ID as shown in Table S1.txt.</p>
Earthquake catalogue for the Taupō Volcanic Zone, New Zealand, 2007–2024
<p>These files contain information on the earthquake catalogue presented in Illsley-Kemp & Mestel (2024). This contains earthquakes which occurred in the Taupō Volcanic Zone, New Zealand, between 2007–2024. For detail on methodology please refer to the original publication. There are two types of file; an xml file for each year which is in QuakeML format, this can be read with ObsPy, there is also two csv files, one for the absolute location catalogue, and one for the relocated catalogue.</p> <p>All methodological details can be found in the associate paper, which can be found here: https://seismica.library.mcgill.ca/article/view/1490</p> <p>If using this dataset please cite the orginal paper:</p> <p>Illsley-Kemp, F. and Mestel, E., 2025. A new consistent and high-precision earthquake catalogue for the Taupō Volcanic Zone, New Zealand. <em>Seismica</em>, <em>4</em>(1).</p>
The fate of sediment after a large earthquake
<p>This folder contains the Supplemental material related to Francis et al 2021; The fate of sediment after a large earthquake, Submitted to JGR Earth Surface<br> The folder contains 3 sub-folders and 2 excel spreadsheets.</p> <p>ChannelWidthSurveys - This folder contains the shape files of the 17 surveyed catchments and the jupyter notebook (ChannelDepositNotebook.ipynb) which is used to generate the Tributary channel deposit sediment budget.</p> <p>MassMovementInventory - This folder contains the shapefiles which are the basis of the mass movement sediment budget. More information on the origin and the attributes of these files can be found in Fan, X. et al. 2019. Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake. Earth System Science Data 11(1), pp. 35–55. Available at: https://www.earth-syst-sci-data.net/11/35/2019/.</p> <p>MassBalanceFiles - This folder contains the jupyter notebook (MonteCarloSedimentBudgets.ipynb) which generates the sediment budget described in Francis et al 2021. The .txt and .csv files are the inputs and outputs of this notebook. See the notebook itself for more information on these files.</p> <p>TributaryChannelDepositSedimentBudget.xlsx - This file is the excel folder showing the processed results of ChannelDepositNotebook.ipynb. The file contains the final results and the processing methodology to allow the reader to reproduce the results.</p> <p>MassBudget.xlsx - This folder contains the final results of the sediment budget described in Francis et al, 2021. This excel file is made up of copying and pasting the output .txt files of MonteCarloSedimentBudgets.ipynb.</p>
Coseismic ground deformation map for the 2020 M>7.5 Shumagin, Alaska, earthquake doublet
<p>This repository contains six interferograms from ESA Sentinel-1 satellite acquired over the 2020 M>7.5 Shumagin, Alaska, earthquake doublet. These interferograms were obtained by processing Sentinel-1 SAR data with the JPL-developed InSAR Scientific Computing Environment (ISCE) open-source software package. The details of six Sentinel-1 interferograms for the 2020 Shumagin earthquake doublet, M7.8 and M7.6 events, are listed in the table below.</p> <table> <tbody> <tr> <td> <p>Earthquake date and magnitude</p> </td> <td> <p>Track</p> <p>no.</p> </td> <td> <p>Direction</p> <p>(asc/des)</p> </td> <td> <p>Incidence</p> <p>(degree)</p> </td> <td> <p>Primary image</p> <p>(yyyy/mm/dd hh:mm:ss)</p> </td> <td> <p>Secondary image</p> <p>(yyyy/mm/dd hh:mm:ss)</p> </td> </tr> <tr> <td>2020/07/22 06:12:44 M7.8</td> <td>73</td> <td>des</td> <td>30-33</td> <td>2020/07/10 17:03:59</td> <td>2020/07/22 17:04:00</td> </tr> <tr> <td> </td> <td>102</td> <td>des</td> <td>43-46</td> <td>2020/07/12 16:47:32</td> <td>2020/07/24 16:47:33</td> </tr> <tr> <td> </td> <td>153</td> <td>asc</td> <td>36-41</td> <td>2020/07/22 04:23:36</td> <td>2020/09/08 04:23:39</td> </tr> <tr> <td>2020/10/19 20:54:38 M7.6</td> <td>73</td> <td>des</td> <td>30-35</td> <td>2020/10/14 17:04:04</td> <td>2020/10/26 17:04:04</td> </tr> <tr> <td> </td> <td>102</td> <td>des</td> <td>43-46</td> <td>2020/10/16 16:47:36</td> <td>2020/10/28 16:47:36</td> </tr> <tr> <td> </td> <td>153</td> <td>asc</td> <td>34-41</td> <td>2020/10/14 04:23:40</td> <td>2020/11/07 04:23:40</td> </tr> </tbody> </table> <p> </p> <p>These interferograms were generated for figures in: Jiang, Y., González, P. J., and Bürgmann, R. "Subduction earthquakes controlled by incoming plate geometry: The 2020 M>7.5 Shumagin, Alaska, earthquake doublet. " Earth and Planetary Science Letters.</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.