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20 results for “Shear Wave Velocity”
Regional scale shear wave velocity profiles for ground response analyses and uncertainties evaluations – the Piedmont Region (NW Italy) Database
<p>The databases provide detailed information for the Piedmont region in Northwest Italy, offering a view of its geological and geophysical characteristics:</p> <ul> <li><strong>Geological-Geomorphological Database</strong>: Includes 13 distinct Geological-Geomorphological Domains (GGD) in shapefile format. It supports spatial analysis and visualization, based on data from the Geological Map of the Piedmont Region at a 1:250,000 scale.</li> <li><strong>Geotechnical Database</strong>: Contains geotechnical data on bedrock depth and texture attributes derived from available logs in CSV format. Georeferenced using UTM coordinates (WGS84 UTM32N), it includes depth values and texture codes (C for clay, G for gravel, S for sand, R for rock, X for not available).</li> <li><strong>Geophysical Database</strong>: Provides data on shear wave velocity (Vs) profiles in CSV format. Georeferenced with UTM coordinates (WGS84 UTM32N), it includes layer interface depth and shear wave velocity above each layer.</li> </ul>
Shallow three-dimensional shear wave velocity model of Volcán de Colima
<p><strong>Velocity model presented in the paper:</strong></p> <p><strong>De Plaen, R.S.M., Mordret, A., Arámbula-Mendoza, R., Vargas-Bracamontes, D., Márquez-Ramírez, V.H., Lecocq, T., Ramírez Vázquez, C.A., González Amezcua, M. The shallow three-dimensional structure of Volcán de Colima revealed by ambient seismic noise tomography</strong></p> <p>Please cite the paper above when using this VS model.</p> <p><em>Description:</em></p> <ul> <li><strong>Colima_ANT_VSmodel.mat:</strong> Shallow 3D VS model of Volcán de Colima along with the corresponding velocity anomaly, error, and radial anisotropy. This version of the model has no vertical smoothing and no topographic correction.</li> <li><strong>Colima_AverageVSmodel.csv:</strong> Simple 1D VS model averaging over the entire study area.</li> <li><strong>Colima_CraterVSmodel.csv:</strong> Simple 1D VS model under the crater of Volcán de Colima.</li> <li><strong>3d plot.ipynb:</strong> Small jupyter notebook (in python) to plot, and understand the structure of the VS model.</li> </ul>
Shear wave velocity profiles from Italian Seismic Microzonation project
<p>The dataset SMDB contains the shear wave velocity profiles from Italian Seismic Microzonation project (14,897 profiles).</p> <p>The records are:</p> <p>-survey id;</p> <p>-survey latitude and longitude in UTM33N coordinates;</p> <p>-survey type;</p> <p>-depth in meters;</p> <p>-shear wave velocity value (Vs) in m/s;</p> <p>-seismic microzonation (SM) cluster id.</p> <p>The file percentile_sigma_ln_vs.csv contain sigma lnvs in depth for the three percentiles 16,50,84.</p>
Data from: 3D shear-wave velocity model of central Makran using ambient-noise adjoint tomography
<p>The Makran subduction zone is unique in its wide onshore thick accretionary prism, and a volcanic arc not parallel to the E-W trend of the Makran accretionary prism. To investigate the internal structure of the accretionary prism, the crustal nature of Jaz Murian Depression, and the trend of the buried trench we have calculated a 3D shear-wave velocity model for a region around the border between eastern and western Makran using ambient-noise adjoint tomography and data from IASBS/CAM Makran temporary seismic network. In close agreement with previous works, our velocity model shows that the onshore accretionary prism consists of a low-velocity zone in the south and a high-velocity zone in the north with an average thickness of accreted sediments of 22 and 30 km, respectively. The young age of the surface rocks of the high-velocity part of the prism suggests the presence of a significant volume of igneous rocks scraped from the subducting oceanic slab. The velocity model indicates a continental crust of ~40 km with a thick sedimentary cover of ~20 km for the eastern part of Jaz Murian Depression. The presence of a NE-SW trending low-velocity region at a depth interval of 40-60 km subparallel with the trend of the volcanic arc, intermediate-depth earthquakes, and geometry of the overriding plate might be related to the trend of the buried trench. This implies that the observed NE-SW trending volcanic arc might be related to the geometry of the buried trench and not the eastward reduction of the subduction angle.</p>
Data from: 3D shear-wave velocity model of central Makran using ambient-noise adjoint tomography
Open the record for dataset details and reuse information.
Shear wave velocities and associated CPT data for S-PCPT testing in the North Sea
<p>This dataset combines shear wave velocity measurements and associated CPT for offshore wind farm sites in The Netherlands and Germany. The data has been collected by RVO in The Netherlands and BSH in Germany and is available in the public domain. The author has processed the data as part of his PhD research at Vrije Universiteit Brussel.</p>
Crustal and Uppermost Mantle Shear Wave Velocity Model in Africa
<p>This dataset consist of the shear-wave velocity model in eastern and southern Africa (0-65 km) and the Rayleigh-wave dispersion data used in producing the model. This dataset is associated with Zhang et al. (2025). </p>
Supporting information for Spatial scales of the velocity shear layer and Kelvin-Helmholtz waves on the magnetopause: First statistical results
<p>Kelvin-Helmholtz (KH) waves observed by ARTEMIS P1 from 2015 to 2020. From the first column to the last column is: probe, date, time interval of KH waves, the location of KH waves in GSM coordinate, and the dominate period, phase speed, and wavelength of KH waves.</p>
Shear wave velocity model inverted
<p>Shear wave velocity model </p>
Rayleigh wave H/V and phase velocity measurements of "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array"
<p>This file includes Rayleigh wave H/V and phase velocity measurements of the paper "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array" in journal The Seismic Record by Qicheng Zeng, Fan-Chi Lin, and Amir A. Allam. Detailed desciption in README in the zip file.</p>
Joint Inversion of Receiver Functions and Apparent Shear Wave Velocity for Martian Crustal Model
<p>Data and Codes of the joint inversion of receiver functions and apparent shear wave velocity for martian crustal model.</p>
ZZ and TT cross-correlation functions, shear wave velocity and radial anisotropy models in the Bohai Bay basin
<p>This dataset contains three parts: ambient noise cross-correlation functions (ZZ and TT), S-wave velocity models and radial anisotropy models in the Bohai Bay basin.</p>
Shear wave velocity inversion based on dispersion characteristics of seabed Scholte wave in deep water
<p>Simulated displacement records at the seabed with three different water depths using spectral element method. </p>
Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms
<p><strong>What is the nature of flow in the mantle?</strong><br> <strong>How fast do waves travel anywhere on Earth?</strong><br> <strong>Where can radial anisotropy be robustly detected?</strong><br> <strong>Can we reconcile a broad spectrum of seismic data? What are the benefits?</strong></p> <p>We use normal-mode splitting functions in addition to surface-wave phase anomalies, body-wave travel times and long-period waveforms to construct a three-dimensional model of anisotropic shear-wave velocity in the Earth's mantle. This is the <strong>first tomographic study</strong> to exploit the sensitivity of mode-splitting data to constrain radial anisotropy in the Earth's mantle jointly with several other types of data. Our modeling approach inverts for mantle velocity and anisotropy as well as transition-zone discontinuity topographies, and incorporates new crustal corrections for the splitting functions that are consistent with the nonlinear corrections we employ for the waveforms. Our preferred anisotropic model, S362ANI+M, is an update to the earlier model S362ANI, which did not include normal-mode splitting functions in its derivation.</p> <p><strong>Feedback/Questions?</strong> Please contact Raj Moulik (<a href="https://rajmoulik.com">rajmoulik.com</a>) at <a href="mailto:moulik@caa.columbia.edu?subject=Query%20from%20Zenodo">moulik@caa.columbia.edu</a> </p> <p><strong>Reference:</strong></p> <p><em>Please cite the following work if you use this data or software.</em></p> <ul> <li>Moulik, P. & Ekström, G., 2014. An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms, <em>Geophys. J. Int.</em>, <strong>199</strong>(3), 1713-1738, doi: <a href="http://dx.doi.org/10.1093/gji/ggu356">10.1093/gji/ggu356</a>. <em><a href="https://rajmoulik.com/Publications/MoulikEkstrom_GJI2014.pdf">pdf</a></em></li> </ul> <p><em>You can also cite the dataset and software from this Zenodo page (Optional).</em></p> <ul> <li> <p>Moulik, P. & Ekström, G., 2014. Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms. In Geophys. J. Int. (v1.0, Vol. 199, pp. 1713–1738). Zenodo. doi: <a href="https://doi.org/10.5281/zenodo.8357379">10.5281/zenodo.8357379</a></p> </li> </ul> <p><strong>Data Products:</strong></p> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANIplusM_Figures.tar.gz"><strong>S362ANIplusM_Figures.tar.gz</strong></a> - contains all figures from the paper in .png format</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM_MapViewsCrossSections.pdf"><strong>S362ANI+M_MapViewsCrossSections.pdf</strong></a> - Some cross sections and map views at various depths in the mantle</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM">S362ANI+M</a> - </strong>Coefficients of the spline basis functions for each parameter. Refer c<sub>ij</sub> in equation 11. This is our preferred global model of shear-wave velocity. In this model, radial anisotropy is confined to the uppermost mantle (that is, since the anisotropy is parameterized with only the four uppermost splines, it becomes very small below a depth of 250 km, and vanishes at 410 km). This is an updated version of S362ANI (Kustowski et al., 2008) which did not include normal modes in its derivation. Please note the stronger isotropic shear velocity anomalies in the transition zone.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/STW105"><strong>STW105</strong></a> - reference model used in S362ANI+M. Described in Kustowski et al. (2008)</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/setup.cfg">setup.cfg</a> - </strong>Some configuration metadata relevant to this model for reproducibility.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/epix.tar.gz"><strong>epix.tar.gz</strong></a> - Perturbations in horizontally (vsh) and vertically polarized shear velocity (vsv), Voigt-average isotropic velocity (vs), ansotropy (as) and topography of the internal boundaries. This is calculated from the spline coefficients at every 1 by 1 degree cell-centered pixel and at every ~25 km depth region from Moho to the core-mantle boundary and stored in extended pixel format (.epix) ASCII files. </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM.BOX25km_PIX1X1.avni.nc4"><strong>S362ANI+M.BOX25km_PIX1X1.avni.nc4</strong></a> - The perturbations in a standard AVNI format that utilizes the NETCDF4 container format. This file can be read in Python using either xarray or AVNI libraries. For example, to plot vs perturbations at 24.4-50 km depth range <ul> <li><em>import xarray as xr</em></li> <li><em>ds = xr.open_dataset('S362ANI+M.BOX25km_PIX1X1.avni.nc4')</em></li> <li><em>ds.vs[0].plot()</em></li> </ul> </li> <li><strong>Fortran Code</strong> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/readme"><strong>readme</strong></a> - contains a description of all files in the folder below</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/PROGRAMS.tar.gz"><strong>PROGRAMS.tar.gz</strong></a> - tools for obtaining model values at specific locations and some GMT plotting tools</li> </ul> </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/GRD.tar.gz"><strong>GRD.tar.gz</strong></a> - longitude-latitide-velocity files with vsh, vsv, and Voigt average in km/s evaluated on a grid of points at many depths in the mantle</li> </ul>
3D Shear wave Velocity Model
<p>3D Shear wave Velocity Model derived from ambient seismic noise tomography Rayleigh wave</p>
3-D Shear Wave Velocity (Vs) & Crustal Interface (Sediment Basement & Moho) Models of Borneo, Makassar Strait, & Sulawesi Region
<p>An update version of 3-D Shear Wave Velocity (Vs) & Crustal Interface (Sediment Basement & Moho) Models of Borneo, Makassar Strait and Sulawesi region obtained from group velocity tomography. Group velocity is retrieved from dispersion analysis of Rayleigh waves extracted from the ambient noise field by cross-correlating long-term recordings from 108 seismic stations over a period of 8 months (the stacked cross-correlations data are included). A 3-D shear wave velocity model then are produced via a two-stage process in which group velocity maps are computed across a range of periods and then sampled over a dense grid of points to produce pseudo-dispersion curves; these dispersion curves are then separately inverted for 1-D shear wave velocity (Vs), with the resultant models combined and interpolated to form a 3-D model.</p>
Particle velocity shear wave motion data for numerical tissue−like viscoelastic materials
<p>This repository contains the particle velocity shear wave motion data generated using the staggered grid finite difference method. These datasets were used to create images in article:</p> <p>Osika, Mariusz, and Piotr Kijanka. "Ultrasound Shear Wave Propagation Modeling in General Tissue–Like Viscoelastic Materials." <em>Ultrasound in Medicine & Biology</em> 50.4 (2024): 627-638.</p> <p>Each dataset contains shear wave motion waveforms, space and time vectors. </p>
Replication Package: 3D Shear‐wave Velocity and Density Modelling of the Northern Cascadia Subduction Zone
<p>This work is done as part of the <a href="https://metrovanmicromap.ca/" target="_blank" rel="noopener noreferrer">Metro Vancouver Seismic Microzonation Project</a> which aims to improve our understanding of seismic hazards in the Georgia Basin and explore opportunities to reduce their impact through mitigation.<br><br>Accurate shear wave velocity images of the subsurface is required to achieve this, hence we developed a new 3D shear-wave velocity (Vs) model for the region from ambient seismic noise and earthquake data recorded by temporary and permanent seismic stations in the last two decades as well as a new 3D density model from a publicly available gravity dataset.<br><br>Here, we share a replication package that includes datasets (seismic and gravity), computer codes and scripts adopted and developed for this research work. The package also includes intermediate result files and final 3D models and GMT script used to plot each figure in the associated manuscript (Submitted to JGR Solid Earth). Our goal is to support research transparency and reproducibility of our work.</p>
Shear Wave Velocity of New Zealand's South Island (unconstrained version)
<p>Crust and mantle 3-D shear velocity model extending well offshore of New Zealand’s South Island, imaging the lithosphere beneath the South Island as well as the Campbell and Challenger Plateaus. Our model is constructed via linearized inversion of both teleseismic (18–70 s period) and ambient noise-based (8–25 s period) Rayleigh wave dispersion measurements. We augment an array of 4 land-based and 29 ocean bottom instruments deployed off the South Island’s east and west coasts in 2009–2010 by the Marine Observations of Anisotropy Near Aotearoa experiment with 28 land-based seismometers from New Zealand’s permanent GeoNet array.</p> <p>This model is completely unconstrained (all layers are allowed to vary equally). The "Moho" model using Moho depth constraints obtained from the model of Salmon et al. (2011) can be found under 'Shear Wave Velocity of New Zealand's South Island (Moho version)'.</p>
CUSRA2021: A radially anisotropic shear wave velocity model for the upper mantle of Contiguous US - Finer grid model
<p>This is a finer grid model for CUSRA2021: A radially anisotropic shear wave velocity model for the upper mantle of Contiguous US</p> <p>Authors: Tong Zhou, Jiaqi Li, Ziyi Xi, Guoliang Li, Min Chen</p> <p>Please refer to the publication </p> <ul> <li>Zhou, T., Li, J., Xi, Z., Li, G., & Chen, M. (2022). <span>CUSRA</span>2021: A radially anisotropic model of the contiguous US and surrounding regions by full-waveform inversion. Journal of Geophysical Research: Solid Earth, 127, e2021JB023893. <a href="https://doi.org/10.1029/2021JB023893">https://doi.org/10.1029/2021JB023893</a></li> </ul> <p>and IRIS EMC model page <a href="https://ds.iris.edu/ds/products/emc-cusra2021/">NSF SAGE: Data Services Products: EMC-CUSRA2021 (iris.edu)</a></p> <p>This model has 0.25 degrees horizonal resolution and 5 km vertical resolution.</p> <p>See the h5 file attribute for more details.</p> <p>This resolution is pushing to the limit of the model resolution, so the quality is not guaranteed. Please use it VERY CAREFULLY.</p> <p>Ask for permission to download the file.</p>
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