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781 results for “earthquakes”
Earthquake catalog in QuakeML format from: "Local earthquake monitoring with a low-cost seismic network: a case study in Nepal"
<p>Earthquake catalog of the microseismicity in central Nepal recorded by a Low cost seismic network(Raspberry Shake) in 2021 in QuakeML format. The information included for each event contains location, phase pick, local magnitude information. </p>
2024 Noto Peninsula Earthquake independent on-site-survey GPS waypoint buffer
<p>40m buffer around GPS waypoints and camera GPS metadata from two independent limited on-site surveys carried out to asses building damage following the 2024 Noto Peninsula Earthquake. </p> <p>Survey teams are marked as either Tohoku University (IRIDeS) or Tokoha University in the dataset.</p>
Experimental data for "Dynamic strain accumulation: a triggering mechanism of slow-to-huge earthquake"
<p>All the data uploaded is for supporting our submission <em>"Strain Accumulation Induced by Dynamic Loading: A Dynamic Triggering of slow-to-huge Earthquake". </em>The data are listed in separated files which are corresponding to the figures shown the submission. </p>
Seismic data from the joint inland aftershock observation group for the 2024 Noto Peninsula earthquake, Central Japan
<p>This seismic data is a part of a comprehensive study of ongoing seismic activity in the northeastern part of the Noto Peninsula, Central Japan, sponsored by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) Japan.</p>
Observational data from 22 stations during the Lushan earthquake
<p>Observational data from 22 stations during the Lushan earthquake. The file includes observation data from 22 stations of the main earthquake of the Lushan earthquake, including small earthquake waveform data from 6 stations. The latitude and longitude of 22 stations.</p>
Earthquake data for the Japan region from 2000 to 2023 and the CNN_LSTM magnitude prediction model.
Open the record for dataset details and reuse information.
Characteristics of Local Geomagnetic Field Variations and the Tectonic Stress Field Adjacent to the May 21, 2021, Ms 6.4 Yangbi Earthquake, Yunnan, China
<p>All data used in paper "Characteristics of Local Geomagnetic Field Variations and the Tectonic Stress Field Adjacent to the May 21, 2021, Ms 6.4 Yangbi Earthquake, Yunnan, China".</p>
Trauma outcomes one year after the 2023 earthquakes in Türkiye: posttraumatic stress, posttraumatic growth, spiritual well-being, and self-compassion
Open the record for dataset details and reuse information.
Data used in paper: Characteristics of shallow low-frequency earthquakes off the Kii Peninsula, Japan, in 2004 revealed by ocean bottom seismometers
<p>The data archived here is a set of the OBS waveform data used in the paper 'Characteristics of shallow low-frequency earthquakes off the Kii Peninsula, Japan, in 2004 revealed by ocean bottom seismometers', by Koji Tamaribuchi, Akio Kobayashi, Takahito Nishimiya, Fuyuki Hirose, and Satoshi Annoura.<br> <br> For more information, please contact the first author.</p>
Additional Supporting Information for "Earthquake hazard and taxonomy under incomplete similarity conditions in northern Chile"
<p>Additional Supporting Information for "Earthquake hazard and taxonomy under incomplete similarity conditions in northern Chile".</p> <p>Submitted to Geophysical Research Letters.</p>
GNSS-seismology for anthropogenic earthquakes: first feasibility demonstration
<p>The dataset of GNSS time series with duration of 150 seconds before and 95 seconds after the origin time of the mining tremors calculaed with PPP and variometric approach. The dataset was used in the research on "GNSS-seismology for anthropogenic earthquakes: first feasibility demonstration."</p> <p>Further description of the HR-GNSS processing will be found in the paper "GNSS-seismology for anthropogenic earthquakes: first feasibility demonstration."</p>
High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes - GNSS displacement time series
<p>The dataset of GNSS displacement time series with duration of 30 seconds before and 90 seconds after the origin time of the mining tremors. The dataset was used in the research on High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes.</p> <p>Further description of the HR-GNSS processing can be found in the paper by Kudlacik et al. (2021) and in the research paper "High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes".</p>
Slab-Plume Interaction and 2013 Wyoming Upper-Mantle Earthquakes
<p>We use a large number of high-quality arrival-time data of local and teleseismic events to determine detailed 3-D Vp isotropic and anisotropic tomography of the crust and mantle down to 750 km depth beneath Wyoming and its adjacent areas. </p> <p>This dataset contains: </p> <p>(1) Arrival time data of local/regional earthquakes and relative travel-time residuals of teleseismic events we used, </p> <p>(2) the obtained 3-D tomographic models of isotropic P-wave velocity, azimuthal anisotropy and radial anisotropy.</p>
Assessing PTSD After Earthquake in Turkey
ClinicalTrials.gov study NCT00269451. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Supplementary Materials to the paper "Simulation of infrasonic acoustic wave imprints on mesopause airglow layers during the 2016 M7.8 Kaikoura earthquake" by Inchin et al., (2021)
<p>The archive contains datasets, animations, scripts and other supplementary materials to the paper "Simulation of infrasonic acoustic wave imprints on mesopause airglow layers during the 2016 M7.8 Kaikoura earthquake".</p>
Data contained in "22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets" - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757
<p>Data contained in “22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets” - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757 by Cinti F.R.*, De Martini P.M.*, Pantosti D.*, Baize S.°, Smedile A.*, Villani F.*, Civico R.*, Pucci S.*, Lombardi A.M.*, Sapia V.*, Pizzimenti L.*, Caciagli M.*, Brunori C.A.*<br> * Istituto Nazionale di Geofisica e Vulcanologia, Italy<br> ° Institut de Radioprotection et de Sûreté Nucléaire, France</p>
The relocated earthquake catalog of the Swarm earthquakes beneath Semangko Bay, Southern Sumatra, Indonesia
<p>Please refer to:</p> <p>Supendi, P., Widiyantoro, S., Rawlinson, N., Wibowo, A., Priyobudi, Palgunadi, K.H., Nugraha, A.D., Imran, I., Marliyani, G.I., Daryono, D., Prayitno, B.S., Sadly, M., Karnawati, D., Sari, N., and Sugiharto, A. (2021). Analysis of Swarm Earthquakes beneath Semangko Bay, southern Sumatra, Indonesia, using Broadband Network Data. Seismological Research Letters, 93 (3): 1373–1381. <a href="https://doi.org/10.1785/0220210304">https://doi.org/10.1785/0220210304</a></p>
Raw time series of GNSS sites used in the manuscript 'South China plate motion modified by 2008 Mw7.9 great Wenchuan earthquake'
<p>The *.pre.*.pos files are raw position time series before the Wenchuan earthquake (from July 2001 to December 2004) and the *.aft.*.pos files are the raw postition time sereis after the Wenchuan earthquake (from July 2014 to December 2017). The file 'breaks' contains the epoches of breaks due to equipment changes or that are indentified visually.</p>
Earthquake data of the LMSF and XHSF_JGR_2020
<p>Earthquake Data for my paper in JGR 2020.</p>
2020 Iran-Turkey earthquake
<p>Tweets collected during Iran-Turkey earthquake in February 2020</p>
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