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6 results for “Seismic moment tensors”

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zenodo48/100

Seismic moment tensor solutions of Mw > 3.4 earthquakes occurred between 2002 and 2023 in the Southeastern Alps

<p>Seismic moment tensor solutions of 63 earthquakes with 3.4&le; Mw&le; 5.1 occurring from 2002 to 2023 in the Southeastern Alps and strict surroundings (latitude 45&deg;N-47.5&deg;N and longitude 10&deg;E-15&deg;E). The seismograms have been recorded and acquired by the OGS - North-Eastern Italy Seismic and Deformation Network (<a href="https://doi.org/10.7914/SN/OX">https://doi.org/10.7914/SN/OX</a>).&nbsp;</p> <p>For more details:</p> <p>Sara&ograve; 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&ndash;2019, Earth Syst. Sci. Data, 13, 2245&ndash;2258, https://doi.org/10.5194/essd-13-2245-2021, 2021.</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2024View details →
zenodo44/100

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&nbsp;centroid moment tensor solutions inferred&nbsp;using Hamiltonian Monte Carlo and a 3-D Earth model in the Japanese islands. The data are provided as&nbsp;Green&#39;s strains at the maximum-likelihood location (indicated in the title of each text file) for all study events&nbsp;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&nbsp;displacement from strains given a moment tensor.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Moment tensors of 2017 seismic swarm in Reykjanes Peninsula, Iceland

<p>Data for the paper: Pavla Hrubcov&aacute; and&nbsp;V&aacute;clav Vavryčuk, 2023.&nbsp;Tectonic stress changes related to plate spreading prior to the 2021 Fagradalsfjall eruption in SW Iceland. Tectonophysics,&nbsp;https://doi.org/10.1016/j.tecto.2023.229761</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

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>This&nbsp;dataset contains waveform data for&nbsp;centroid moment tensor solutions inferred&nbsp;using Hamiltonian Monte Carlo sampling algorithm and a 3-D Earth model of&nbsp;the Japanese islands. Specifically, it&nbsp;includes processed&nbsp;observed waveforms from the Full Range Seismograph Network of Japan (F-Net, http://www.fnet.bosai.go.jp) and&nbsp;synthetic waveforms for the maximum-likelihood solutions&nbsp;as well as Global Centroid Moment Tensor (GCMT)&nbsp;solutions for all study events&nbsp;inverted at different periods. Detailed description of the dataset is included in the README file.&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Grond reports for the seismic moment tensor inversions done for "The January 2022 Hunga Volcano explosive eruption from the multi-technological perspective of CTBT monitoring"

<p>This are the Grond reports of the seismic moment tensor inversion done for the manuscript submitted to GJI titled:</p> <p>&quot;The January 2022 Hunga Volcano explosive eruption from the multi-technological perspective of CTBT monitoring&quot;</p> <p>You can view the summary figures of the inversions in the subfolders for each event manually if you wish.</p> <p>However to view the reports interactively you need to have the pyrocko and grond softwares installed. See here for installation instruction for pyrocko: https://pyrocko.org/ and here for grond https://pyrocko.org/grond/docs/current/</p> <p>After correct installation you can view the reports in any browser by executing the command &quot;grond report --so&quot; in the folder which contains the unpacked &quot;report&quot; folder.</p>

opencc-by-4.0Oct 2022View details →
zenodo12/100

High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes - GNSS displacement time series

<p>The dataset of&nbsp;GNSS displacement time series&nbsp;with duration of 30 seconds before and 90 seconds after the origin time of the mining tremors. The dataset was&nbsp;used in the research on&nbsp;High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes.</p> <p>Further description of the HR-GNSS&nbsp;processing can be found in the paper by Kudlacik et al. (2021) and in the research paper &quot;High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes&quot;.</p>

restrictedApr 2022View details →

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