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203 results for “Seismic data”
Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 2)
<p>This is dataset of ocean wave simulations used in the paper "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" by Shimura et al. (submitted).</p> <p>The dataset contains </p> <ul> <li>significant wave height (Subset 1),</li> <li>wave induced surface pressure (Subset 2)</li> <li>long-period componet of wave heights (Subset 3)</li> <li>long-period component of surface pressure (Subset 4)</li> </ul> <p>during 2004 from 2023 summer. </p>
Trained Random Forest model and scaler parameters on new physical and tsfel features from seismic data of 150s length.
Open the record for dataset details and reuse information.
Data and program codes to reproduce the results of seismic tomography for the Northern Paramushir Island and Ebeko Volcano (Kuril Arc)
<p>This file contains the files to reproduce the results presented in the article: by Ivan Koulakov et al. (2024). Seismic structure beneath Ebeko Volcano and surrounding areas of Paramushir Island (Kuril Arc) inferred from local earthquake tomograph, Journal of Volcanology and Geothermal Research.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Paramushir Island.</p> <p>3. README_EBEKO.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>4. Folder SRF_FIGS with figures from the paper created in Surfer-13 that can be used as templates to visualize the results. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data
<p>This is the electronic supplemental data for the publication entitled </p> <p>"<strong>Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data</strong>"</p> <p>submitted to <strong>Seismological Research Letters (SRL)</strong>. </p> <p>The names of the compressed files represent the experiment number and station number. For example, "1_2" indicates data collected from the second station during the first experiment. Each compressed file contains seismic raw data in the ".SAC" format. The filenames include the UTC end time of data collection. For instance, "453003616.00000001.2021.10.20.06.40.22.000.z.sac" indicates that data collection ended at 06:40:22 on October 20, 2021. Each complete .sac file contains 4 days of data with a sampling interval of 0.002 seconds.</p>
Data set related to the manuscript entitled "Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy"
<p><strong>Detailed calculation results of rock physics modeling and other technical details for manuscript of</strong> <strong>“Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy”</strong></p>
Seismic and pressure data for Wang and Tanimoto
<p>PSD files for seismic and pressure data for Wang and Tanimoto. Calculated rigidities for all stations from 2012 to 2017 (format: station name; longitude; latitude; rigidity(Pa); uncertainty(Pa).)</p>
Data for "Far-field Co-seismic Disturbances in Lithosphere, Atmosphere, and Ionosphere of Mw 7.4 Hualian Earthquake in 2024"
<p>Data for "Far-field Co-seismic Disturbances in Lithosphere, Atmosphere, and Ionosphere of Mw 7.4 Hualian Earthquake in 2024"</p> <p>1. MVP_LAI_data.mat: data from MVP-LAI system; time duration: 200 before to 1800s after the time of the earthquake </p> <p>format: [TEC, Doppler shift, Geomagnetic X component, Geomagnetic Y component, Geomagnetic Z component]</p> <p>2. mag_data.m: data from 16 permanent geomagntic stations; time duration: 00:00 UT on 3, Apri, 2025 to 1800s after the time of the earthquake </p> <p>format: [Geomagnetic X component, Geomagnetic Y component, Geomagnetic Z component, the longitude and latitude of stations],</p> <p>Lines 1-16 indicate an increasing order of epicentral distance</p> <p>3. tec_data.m: tec data from 20 ionospheric piercing points; time duration: 00:00 UT on 3, Apri, 2025 to 1800s after the time of the earthquake </p> <p>format: tec, the longitude and latitude of stations</p> <p>Lines 1-20 indicate an increasing order of epicentral distance<br> </p>
Derived seismic data products from paper: "Seismic Imaging of the Reykjanes Peninsular, Iceland: Crustal-scale context of geothermal areas and ongoing volcano-tectonic unrest"
<p>Receiver Functions (RF) and Dispersion Curves derived from seismic stations throughout the Reykjanes Peninsular SW Iceland. </p> <p>RF are in Smurfpy python3 PICKLE format - details on format and scripts to read in here: https://github.com/sannecottaar/smurfpy. Folder <strong> </strong>has the following file structure:</p> <p><strong>RF_Data_Zenodo</strong> --> contains station folders: <strong>Network.Station</strong> --> contains folders <strong>goodRF_crust2</strong> and <strong>goodRF_crust6 </strong>where 2 and 6 refer to Gaussian pulse widths used to produce RF via iterative deconvolution --> contains RF files in format <strong><em>NETWORK.STATION_BAZ_EPIDIST_EVTIME.PICKLE</em></strong> and subfolders of identified highly similar waveform subsets in the format <strong>BAZ_NNN_NNN </strong>used in data inversions<strong><br></strong></p> <p>Dispersion curves are in Fast Marching Surfacewave Tomography FMST input format (Rawlinson and Sambridge, 2005), details on format in FMST manual: https://iearth.edu.au/codes/FMST/instructions.pdf. Folder <strong>FMST_Dispersion_Inputs_Zenodo </strong>contains the following files:</p> <ul> <li>otimes0.25Hz.dat</li> <li>otimes0.2Hz.dat</li> <li>otimes0.35Hz.dat </li> <li>otimes0.3Hz.dat</li> <li>otimes0.45Hz.dat</li> <li>otimes0.4Hz.dat</li> <li>otimes0.5Hz.dat</li> <li>sources.dat </li> <li>receivers.dat</li> </ul> <p> </p> <p><em>References</em>:</p> <div>Rawlinson, Nick. "FMST: fast marching surface tomography package–Instructions." <em>Research School of Earth Sciences, Australian National University, Canberra</em> 29 (2005): 47.</div>
Data and program codes to reproduce the results of seismic tomography for the central Iturup Island (Kuril Arc)
<p>This file contains the files to reproduce the results presented in the article: by Ivan Koulakov et al. (2024). "<span>Feeding system beneath active volcanoes in central part of Iturup Island (Kuril Arc) inferred from local earthquake tomography"</span>, Journal of Volcanology and Geothermal Research.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Iturup Island.</p> <p>3. README_ITURUP.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>4. Folder SRF_files with figures from the paper created in Surfer-13 that can be used as templates to visualize the results. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
What Can Generative Modelling Do for Interpolation of Extremely Sparse Wind Farm Seismic Data
<p>2024 Global energy transition abstract about diffusion model data interpolation. </p>
Automatically deglitched dataset for "Searching the InSight seismic data for Mars's background free oscillations"
<p>The file Deglitched_sols.zip includes the dataset employed in the article "Searching the InSight seismic data for Mars's background free oscillations", published in<em> Seismological Research Letters.</em></p> <p>It includes 966 ".mseed" files, where each file corresponds to each automatically deglitched (SEISglitch + Twistpy) sol employed in the analysis. </p> <p>This dataset corresponds to the data depicted in Figure 6, and it was employed to produce Figure 8 (final results) of the manuscript. </p>
Seismic reflection data of profile across the Central Basin Fault and the Kyushu-Palau Ridge
<p>Seismic reflection profiles were acquired in 2020 by the R/V "Dayanghao" (Second Institute of Oceanology, Ministry of Natural Resources, China) using a 6040 cubic inch air gun array, discharged at 37.5 m intervals, and a 6-km-long, 480-channel streamer. Data were recorded for 14 s at 2 ms sampling intervals. Seismic data processing involved noise reduction, signal enhancement via filtering and deconvolution, velocity analysis, time migration, and depth migration. </p>
Contrasting Crustal Signatures across the 2021 MS6.0 Luxian (China) Induced Earthquake Revealed by Dense Seismic and Magnetotelluric Data
<p>This is the main dataset supporting the 2021 Luxian (China) MS6.0 Earthquake paper</p> <p>MT folder contains MT data used in the inversion of the MT resistivity model and the final 3-D electrical resistivity model file (i.e., MT_resistivity.model)</p> <p>Seismic folder contains the continuous seismic waveforms (i.e., Continuous_seismic_waveforms.zip), the cross-correlation functions (i.e., Cross-correlation_Functions.zip), the final 3-D velocity model file (i.e., 3-D_VS_model.dat) and the our relocated earthquake catalogue (i.e., Relocated_earthquake_catalogue.dat)</p>
Analysing detection thresholds of lithological complexity and karst overprinting in outcrop-scale seismic models (SeisRox Pro modelling projects - supplementary data)
<p>This dataset includes pre-loaded and integrated data sets used for seismic modelling based on geomodels created by interpretation of DOMs.</p> <p>The dataset includes:</p> <ul> <li>Five different SeisRox modelling projects of the Landnørdingsvika model;</li> </ul> <p>1) base-case model and base-case+Noise in one project,</p> <p>2) 30Hz model,</p> <p>3) no_thin_units model,</p> <p>4) no_karst model,</p> <p>5) perfect_illumination model.</p> <ul> <li>Two different SeisRox modelling projects of the Treskelodden model;</li> </ul> <p>1) base-case model, base-case+Noise, 30Hz model, perfect_illumination model all in one project,</p> <p>2) model with 10x thicker Kapp Starostin layer in the overburden model.</p> <p>This dataset is related to a manuscript currently in review for Marine and Petroleum Geology.</p>
Analysing detection thresholds of lithological complexity and karst overprinting in outcrop-scale seismic models (Synthetic seismic models - supplementary data)
<p>This dataset includes pre-loaded seismic models based on digital outcrop models (DOMs) representing 11 different case scenarios with varying signal processing setting (frequency, illumination angle, noise) and different geological models for the DOMs. The case scenarios are set up to investigate detection tresholds in seismic models of thin beds with a high degree of lithological variation. </p> <p>The dataset includes:</p> <ul> <li>A Petrel 2022 project with 11 pre-loaded seismic models based on two different geomodels presented in the paper.</li> <li>The input SGY files for each seismic section and PSF used.</li> </ul> <p>This dataset is related to a manuscript currently in review for Marine and Petroleum Geology.</p>
Analysing detection thresholds of lithological complexity and karst overprinting in outcrop-scale seismic models (Well data for elastic rock parameters - supplementary data)
<p>This dataset includes pre-loaded and integrated data sets of the well data from boreholes on Spitsbergen. it also includes various maps of Svalbard to see where the boreholes are located. Rock parameters were plotted and determined using the blueback toolbox add-on to Petrel. </p> <p>The dataset used for rock parameter statisitcs includes:</p> <ul> <li>A Petrel 2022 project with well data (gamma ray, density, sonic, P-velocity, lithology) from the two boreholes Reindalspasset I (7816/2-1) and Tromsøbreen II (7617/1-2).</li> <li>Excel sheets with the wireline-log data used from the two boreholes. </li> </ul> <p>This dataset is related to a manuscript currently in review for Marine and Petroleum Geology.</p>
Plots source data for the Communications Earth & Environment research article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting
<p>The source data for plotting figures presented in the main text of article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting.</p>
Cascading rupture process of the 2021 Maduo, China earthquake revealed by the joint inversion of seismic and geodetic data
<p>The coseismic Sentinel-1 line-of-sight (LOS) displacements, strong-motion and teleseismic waveforms used in the joint inversion of the source rupture process for the 2021 Maduo, China earthquake are included in this repository.</p>
Sample of seismic waveform data for rfmpy tutorial
<p>Sample of seismic waveform data for rfmpy tutorial (<a href="https://github.com/kemichai/rfmpy">https://github.com/kemichai/rfmpy</a>). Sub-set of seismic data from EASI seismic network that are cut around a number of different teleseismic events. The continuous full waveform data from EASI seismic network are available at: the European Integrated Data Archive EIDA; <a href="http://www.orfeus-eu.org/data/eida/">http://www.orfeus-eu.org/data/eida/</a> with the network code <strong>XT</strong>.</p>
Data for "Different Martian Crustal Seismic Velocities across the Dichotomy Boundary from Multi-Orbiting Surface Waves"
<p>Data for "Different Martian Crustal Seismic Velocities across the Dichotomy Boundary from Multi-Orbiting Surface Waves"</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.