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39 results for “Ground Motion”
Source Parameters and Ground Motion Simulation of the 2023 MW 5.5 Pingyuan Earthquake in the North China Plain
<p>Broadband seismic waveform data used for determining the focal mechanism and depth of the 2023 <em>M</em><sub>W</sub> 5.5 Pingyuan earthquake</p>
High resolution shallow structure of Ebao basin revealed with DAS ambient noise tomography and its relation to earthquake ground motion
<p>EBAO dataset: fig2b, fig3a, fig9, figS5</p>
Data from the manuscript "Is the 2010 Maule Earthquake a repeating earthquake? Rupture heterogeneities and their impact on ground motion, landslides and cortical faults in Subduction Zones. "
<p>MATLAB data and codes used for the manuscript are provided. These calculate ground motion from a heterogeneous rupture, similar to the approach used in Venegas-Aravena (2024). The rupture simulation can be performed using the 'HE_B rupture.mat' code, which implements the Heterogeneous Energy-Based method (Venegas-Aravena, 2023) to model the 2010 Mw 8.8 Maule earthquake. The code for generating ground motion, 'Displacement_field.mat', calculates near-, intermediate-, and far-field displacement fields following equations 4.32 in Aki and Richards (2002) as a summation of point sources from the earthquake rupture. The subduction geometry is included in this dataset. The code can compute displacements in rho, theta, phi, direction and in east-west, north-south, and dip directions after following code instructions. Additionally, it includes a feature to add Rayleigh waves, although this was not utilized in the 2010 Maule earthquake manuscript.<br><br>A video showing the data can be seen here: <strong>https://youtu.be/6Zf3fgb6AGc.</strong><br><br><br>References</p> <p>Aki and Richards (2002): QUANTITATIVE SEISMOLOGY, SECOND EDITION.</p> <p>Venegas-Aravena (2023): https://doi.org/10.1515/geo-2022-0522.</p> <p>Venegas-Aravena (2024): https://doi.org/10.1007/s11069-024-06651-9.<br><br></p>
peak ground motion
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How does thermal pressurization of pore fluids affect 3D strike-slip earthquake dynamics and ground motions?
<p>BSSA-TP-31Mar2023-zenodo.tar.gz has all the input files required to simulate forty-nine dynamic rupture models. Note that "SeisSol_release_generatedKernels_dhsw_hybrid_none_9_5" and "TP-3D-final_withXML" are SeisSol executable (compiled on Shaheen II at KAUST) and mesh files respectively. Every simulation folder should have empty "logs" and "output" folders where simulation outputs will be stored.</p>
Partial broadband ground motion results from 6 stations
<p>Partial acceleration waveforms, velocity waveforms, and acceleration response spectra synthesized from 6 stations. Corresponding to Figures 12 and 13 in the submitted manuscript</p>
gmastrantoni/MultiHazard: Multi-Risk Ranking for Ground Instabilities through Geohazards and InSAR Ground Motion Data Fusion to Enhance Urban Resilience
<p>This release is a direct link with a Zenodo repository containing the input data.</p>
Supplementary dataset for paper Long-period directivity pulses of strong ground motion during the 2023 Mw7.8 Kahramanmaraş earthquake
<p>Supplementary dataset for paper Long-period directivity pulses of strong ground motion during the 2023 Mw7.8 Kahramanmaraş earthquake by František Čejka, Jiří Zahradník, Fatih Turhan, Efthimios Sokos, and František Gallovič</p>
Simulation results of long-period ground motion in the Kanto region
<p>Simulation results in the submitted paper, Takemura, Yoshimoto, and Shiomi (2020) <a href="https://dx.doi.org/10.21203/rs.3.rs-43689/v1">Preprint</a></p> <p><strong>Model name</strong></p> <ul> <li>JIVSM : JIVSM (Koketsu et al., 2012)</li> <li>NOBSN : JIVSM without sedimentary layers</li> <li>FNT1D : F-net 1D velocity model (Kubo et al., 2002)</li> </ul> <p><strong>Wavefiled </strong><br> YYMMDD${MODEL}.ob.u.nc </p> <ul> <li>NetCDF formatted Displacement or velocity wavefield data</li> <li>Details are described in <a href="https://tktmyd.github.io/OpenSWPC/English/2._Parameter_Settings/0205_output/">the OpenSWPC document page</a>.</li> </ul> <p><strong>Components</strong></p> <ul> <li>Vx : North</li> <li>Vy : East</li> <li>Vz : Up</li> </ul> <p><strong>SAC header</strong></p> <ul> <li>We added centroid time, location, depth, and station location information in SAC header. </li> </ul> <p><strong>Movie file</strong></p> <ul> <li>Movie S1 is a simulated vertical velocity wavefield for an earthquake that occurred on 4 August 2019.</li> </ul>
Synthetic and real datasets for "Seismic source tracking with six degree-of-freedom ground motion observations"
<p>Synthetic datasets for the 2D and 3D rupture tracking and real datasets for the traffic noise tracking used in the manuscript "Seismic source tracking with six degree-of-freedom ground motion observations". The README file describes the data structures.</p>
Seismic Ground Motion Data Analyses for North-East Arkansas
<p>Estimation of liquefaction resistance and shear velocities are key elements in the assessment of potential earthquake damage of existing and new construction sites. The Arkansas Department of Transportation (ARDOT) and other agencies in the region need ground motion response analysis (GMRA) data of specific construction sites. As part of a recent ARDOT’s Transportation Research Committee (TRC) project, researchers have conducted geophysical investigations several construction sites in northeast Arkansas over the past twelve years. The current study gathered the previously reported test data and estimated seismic hazard properties such as shear wave velocity profiles and seismic hazard coefficients for nearby locations. Finally, seismic hazard profiles and liquefaction maps have been generated for selected sites in northeast Arkansas.</p>
Dataset from Article "INGe: Intensity-ground motion data set for Italy"
<p><strong>There is a newer version of this record available at <a href="https://zenodo.org/record/4623732#.YMN8ofkzY2w">https://zenodo.org/record/4623732#.YMN8ofkzY2w</a>.</strong></p> <p>An updated and homogeneous earthquake data set for Italy compiled by joining the Italian Macroseismic Database DBMI15 and the Engineering Strong-Motion (ESM) accelerometric data bank. The database has been compiled through an extensive procedure of selection and revision based on two main steps: 1) the removal of several earthquakes in DBMI15 because the data source has been considered to be largely unreliable and 2) the extraction of all the localities reporting intensity data which are located within 3 km from the accelerograph stations that recorded the data.</p> <p><br> The final data set includes 323 recordings from 65 earthquakes and 227 stations in the time span 1972-2016. The events are characterized by magnitudes in the range 4.0-6.9 and depths in the range 0.3-45.0 km.</p> <p><br> Here, we illustrate the data collection and the properties of the database in terms of recording, event and station distributions as well as Mercalli-Cancani-Sieberg (MCS) macroseismic intensity points. Furthermore, we list the most relevant features of engineering interest showing several statistics with reference to the most significant metadata (such as moment magnitude, several distance metrics, style of faulting etc).</p> <p> </p>
EXCEPTIONAL GROUND MOTION DURING THE SHALLOW MW 4.9 2019 LE TEIL EARTHQUAKE, FRANCE
<p>An unusually damaging Mw 4.9 earthquake occurred on November 11, 2019 in the south east of France within the lower Rhône river valley, an industrial region that hosts several operating nuclear power plants. The hypocentre of this event occurred at an exceptionally shallow depth of about 1 km. Here we use far-field seismological observations to demonstrate that the rupture properties are consistent with those commonly observed for large deeper earthquakes. In the absence of strong motion sensors in the fault vicinity, we perform numerical predictions of the ground acceleration on a virtual array of near-fault stations. These predictions are in agreement with independent quantitative estimations of ground acceleration from in-situ observations of displaced objects. Both numerical and in-situ analyses converge toward estimates of an exceptional level of ground acceleration in the fault vicinity, that exceeded gravity, and explains the unexpectedly significant damage.</p>
Data from: Elastogravity waves and dynamic ground motions in the Korean Peninsula generated by the 11 March 2011 Mw9.0 Tohoku-Oki megathrust earthquake
<p>The mass dislocations caused by large coseismic slips in megathrust earthquakes are large enough to produce elastogravity waves. Despite successful identification of elastogravity-wave development during megathrust earthquakes, the nature of ground motions and hazard potentials in regional and teleseismic distances remains unknown. The dynamic ground motions from the 11 March 2011 M<sub>W</sub>9.0 Tohoku-Oki megathrust earthquake are retrieved from broadband seismic records throughout the Korean Peninsula. The dynamic ground motions of the megathrust earthquake are dominated by low-frequency (<0.1 Hz) energy that is a mixture of elastogravity waves and seismic waves. The peak dynamic ground displacements in the Korean Peninsula reached ∼20 cm with horizontal permanent displacements of ∼2 cm or more. Radially-polarized elastogravity waves developed instantly at the event origin time. Very-long-period (<0.004 Hz) energy is a mixture of seismic waves and coseismic permanent displacements, presenting radially polarized retrograde particle motions for ∼600 s. The peak ground displacements and velocities for the Tohoku-Oki earthquake are larger than those for a local M<sub>W</sub>5.4 earthquake. The peak ground motions vary azimuthally following the source radiation pattern. The tangential peak ground displacement increases with distance along continental ray paths due to the development of crustally guided waves. Large and slow dynamic ground motions cause dynamic stress changes of ∼1.8 MPa in the lithosphere of the Korean Peninsula, while the properties of the mantle are scarcely affected by slow dynamic motions. The large long-period displacements induced by megathrust earthquakes may cause considerable long-duration distortion on large buildings at regional and teleseismic distances. The characteristic elastogravity-wave features may be used for detection of mass-dislocation events.</p>
Reproducibility material for ground motion validation of hybrid models
<p>Code and data repository to reproduce research on the effect of model hybridization on ground motion prediction.</p>
Data for "Stochastic Green's Function Method Considering Non-uniform Rise Time Distribution to Simulate 3D Broadband Ground-Motion"
Open the record for dataset details and reuse information.
Data from: Elastogravity waves and dynamic ground motions in the Korean Peninsula generated by the 11 March 2011 Mw9.0 Tohoku-Oki megathrust earthquake
Open the record for dataset details and reuse information.
Stochastic Finite-Fault Simulated Ground Motion Dataset for Tabriz Region in Iran
<p>A dataset of simulated ground motions for Tabriz region in Iran using stocahstic finite-fault simulation approach based on dynamic corner frequency.<br>The simulated earthquake events are for Mw 7.7, 7.4, 7.1, and 6.8 with focus on investigating the uncertainty in fault rupture plane and hypocenter location.<br>The ground motion time series along with a comprehensive flatfile are uploaded here.</p>
Strong ground motion parameters of the ML 5.2 and ML 5.7 crustal earthquakes in Gorj, Romania
<p>This preliminary report presents the main ground motion parameters (GMP) for engineering applications: Acceleration, Velocity, Displacement, PGA, PGV, PGD, SA, SV, SD and Fourier Spectra.</p>
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Allen Brain Atlas
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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.