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35 results for “Seismic waves”
Lithospheric architecture of the Paranapanema Block and adjacent nuclei using multiple-frequency P-wave seismic tomography
<p>We provide: the tomographic model for dephts 68 to 768 km as text files, where the first column is the longitude, the second is the latitude and the third if the velocity perturbation; the proposed limits for the Paranapanema Block, Luiz Alves Craton and Rio Apa Craton as a csv file (Figure 12 of the paper), where the first column is the name of the feature, the second is the longitude and the third is the latitude; and the abstract for the paper "Lithospheric architecture of the Paranapanema Block and adjacent nuclei using multiple-frequency P-wave seismic tomography".</p>
The imprint of crustal density heterogeneities on regional seismic wave propagation - dataset
<p>This dataset should provide complete synthetic seismograms and software</p> <p>(python tools for random media generation, signal comparison and histogram stacking)</p> <p>that were used in the publication:</p> <p>Płonka, A., Blom, N., and Fichtner, A.: The imprint of crustal density heterogeneities on regional seismic wave propagation, Solid Earth, 7, 1591-1608, doi:10.5194/se-7-1591-2016, 2016.</p>
Data Set : Seismic Wave Propagation Simulations in Indo Gangetic Basin using Spectral Element Method
<p>Indo Gangetic (IG) basin is one of the largest alluvial basins in the world. The surrounding Himalayan topography and the geometry of the basin make the IG basin unique. The analysis of seismic response of the basin is important as the region is seismically active with more than 40% of Indian population residing in it. This online database consists of the input files for performing the spectral finite element simulation for IG basin by incorporating the 3D variation of material properties and basin geometry. The input files consists of mesher, solver and CMTSOLUTION files for SPECFEM3D Cartesian (Version-3) simulation.</p>
Additional dataset concerning "Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases"
<p>SplitRacer input and output for beams and single-station splitting measurements for event 201007290731. This dataset was used in "Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases" by Jonathan Wolf, Daniel A. Frost, Maureen D. Long, Ed Garnero, Adeolu O. Aderoju, Neala Creasy and Ebru Bozdag. The manuscript is available at <a href="https://doi.org/10.1029/2022JB025556">https://doi.org/10.1029/2022JB025556</a>.</p>
Accuracy of the Group Velocity of Love Waves Extracted from Ambient Seismic Noise
<p>Love wave waveforms derived from the empirical Green's functions and Ground Truth earthquake in my manuscript submitted to Journal of Geophysical Research: Solid Earth.</p>
Cross-spectra used in "Detailed S-wave velocity structure of sediment and crust off Sanriku, Japan by a new analysis method for distributed acoustic sensing data using a seafloor cable and seismic interferometry"
<p>Cross-spectra used in "Detailed S-wave velocity structure of sediment and crust off Sanriku, Japan, derived from distributed acoustic sensing data collected using a seafloor cable with seismic interferometry", by Shun Fukushima, Masanao Shinohara, Kiwamu Nishida, Akiko Takeo, Tomoaki Yamada, and Kiyoshi Yomogida </p> <p>For more information, please contact Shun Fukushima (s-fuku@eri.u-tokyo.ac.jp)</p>
Separation of Intrinsic and Scattering Seismic Wave Attenuation in the Crust of Central and South-Central Alaska
<p>This dataset provides essential support for understanding the study and includes all necessary files for anyone wishing to reproduce any of the results</p>
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>
Attenuation of Seismic Waves and Ground Motion Model of the Reykjanes Peninsula, Iceland
<p>Events.csv - Location of used events</p> <p>Amplit_A_HOR.csv, Amplit_A_VER.csv - Acceleration amplitudes (Horizonlat/Vertical) and parameters of inversion</p> <p>Amplit_V_HOR.csv, Amplit_V_VER.csv - Velocity amplitudes (Horizonlat/Vertical) and parameters of inversion</p> <p>Amplit_D_HOR.csv, Amplit_D_VER.csv - Displacement amplitudes (Horizonlat/Vertical) and parameters for inversion</p> <p><br><br></p> <p> </p>
Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves
<p>All data used in paper "Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves".</p>
Migration of mechanical perturbations estimated by seismic coda wave interferometry during the 2018 pre-eruptive period at Kīlauea volcano, Hawaii : Noise Cross-correlation Functions, Seismic catalog, and GNSS data
<p>ARCHIVE_NCFs_KILAUEA_2018.zip : Compress folder with (1) the daily noise cross-correlation functions (in MSEED format) of the station pairs used in the paper and (2) the one hour noise cross-correlation functions (in H5 format) of the station pairs used in the figure 9 of the paper.</p> <p>Code_Data_HVO.ipynb : Code to download the seismic data, available on IRIS, used in this paper.</p> <p>GPS_data_AHUP.zip : Compress folder with the daily GPS data of the station AHUP used in the paper [Year, Month, Day, Day_of_the_year, Second_of_the_day, East_comp(mm), North_comp(mm), Vertical_comp(mm), Sig_East_comp, Sig_North_comp, Sig_Vertical_comp].</p> <p>Radial_tilt_UWD.txt : Daily radial tilt measurement of the tiltmeter UWD [Year, Month, Day, Radial_tilt(µrad)].</p> <p>Seismic_stations_Kilauea.txt : Name code and location of the seismic stations used in the paper [Station_code, Longitude, Latitude].</p> <p>Seismicity_Catalog_Kilauea_2018_USGS.txt : Seismic catalog from USGS used in the paper [Date_Time, Latitude, Longitude, Depth, Magnitude].</p>
Estimated site amplifications at DONET stations, 1D velocity models, and movies for seismic wave propagation in a local 1D models
<ul> <li>Site amplification factors of vertical (V) and horizontal (H) components at DONET stations at each frequency band (1-2, 2-4, 4-8, and 2-8 Hz)</li> <li>Anelastic attenuations are estimated during least square inversions for maximum S-wave amplitudes at DONET and F-net stations.</li> <li>Local 1D velocity structure models used in this study</li> <li>Animation movie of seismic wave propagation in local 1D models <ul> <li>Movies can be available using <a href="https://www.videolan.org/vlc/index.en_GB.html">the VLC media player</a></li> </ul> </li> </ul> <p>Details of the method and results were described in the paper:<br><span>Takemura, S.</span>, <span>Emoto, K.</span>, & <span>Yabe, S.</span> (<span>2024</span>). <span>Revisiting seismic energy of shallow tremors: Amplifications due to site and propagation path effects near the Nankai Trough</span>. <em>Journal of Geophysical Research: Solid Earth</em>, <span>129</span>, e2024JB029168. <a href="https://doi.org/10.1029/2024JB029168">https://doi.org/10.1029/2024JB029168</a></p>
Data and figures of JGR planet paper entitled "Pressure effects on the SEIS-InSight instrument, improvement of seismic records and characterization of long period atmospheric waves from ground displacements" by Raphael F. Garcia and co-authors
<p>Data and figures of the JGR Planet paper entitled "Pressure effects on the SEIS-<br> InSight instrument, improvement of seismic records and characterization of long<br> period atmospheric waves from ground displacements"<br> by<br> Raphael F. Garcia1, Balthasar Kenda2 , Taichi Kawamura2 , A. Spiga3,4, N.<br> Murdoch1 , P. Lognonné2, R. Widmer-Schnidrig5, N. Compaire1 , G.<br> Orhand-Mainsant1 , D. Banfield6, W. B. Banerdt7</p> <p>List of files and directories</p> <p>*extractAllDataFromFig.m : matlab code to extract the data in txt file from the<br> matlab figures listed in the following directories<br> Figure1<br> Figure10<br> Figure11<br> Figure2<br> Figure3<br> Figure4<br> Figure5<br> Figure6<br> Figure7<br> Figure8<br> Figure9</p> <p>*figures_combined : combined figures for JGR paper</p> <p>*INSIGHT_Data : data in miniseed format used in the paper<br> -- Deglitch_data : data after removing glitchs used in the paper<br> -- Data_figure11 : data used for the plots in figure 11 (plots done easily with<br> SeisGram software)</p> <p>*PREPRINT : preprint of the paper</p> <p> </p>
Seismic Velocity Model of P- and S-waves for the Italian Lithosphere
<p>P- and S- seismic waves 3D velocity model of the Italian Lithosphere obtained by linearized seismic local earthquake tomography (LET) method by <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/92JB00603">Zhao et al., 1992</a>.</p> <p>The inversion for the model parameters is performed using a combination of pseudo-bending and Snell's Law for ray tracing on a 3D grid of nodes on spherical coordinates and the LSQR algorithm by <a href="https://dl.acm.org/doi/10.1145/355984.355989">Page and Saunders, 1982</a>. The method allows to model first order seismic discontinuities like the Moho, for which the Moho for the Italian region by <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2011GC003649">Di Stefano et al., 2011</a>.</p> <p>A previous version of the same tomographic inversion was produced and discussed in <a href="https://www.sciencedirect.com/science/article/abs/pii/S0264370714001306?via%3Dihub">Di Stefano and Ciaccio, 2014</a> but not released in digital file format.</p> <p>The present file is an updated version of the model by <a href="https://www.sciencedirect.com/science/article/abs/pii/S0264370714001306?via%3Dihub">Di Stefano and Ciaccio, 2014</a>, based on a slightly different gridding but with the same P- and S- travel-times and earthquakes locations dataset.</p> <p>The model is here released in csv, pipe (|) separated, file.</p> <p><strong>Header Explanation</strong></p> <ul> <li><strong>lon</strong>: longitude in decimal degrees positive eastward from Greenwich</li> <li><strong>lat</strong>: latitude in decimal degrees positive northward</li> <li><strong>depth</strong>: depth in km positive downward</li> <li><strong>type</strong>: type of model parameter (vp= P-wave velocity; vs= S-wave velocity)</li> <li><strong>value</strong>: seismic velocity value</li> <li><strong>units</strong>: units measure of the velocity value</li> </ul> <p>The external bounding box of the model is:</p> <ul> <li>Minimum Longitude = 5°E</li> <li>Maximum Longitude = 20°E</li> <li>Minimum Latitude = 36°N</li> <li>Maximum Latitude = 48°N</li> <li>Minumum Depth = 0 km</li> <li>Maximum Depth = 80 km</li> </ul> <p>Lines 2 to 43093 report the Vp model</p> <p>Lines 43094 to 86185 report the Vs model</p>
Experimental Data for "Seismic wave attenuation and dispersion due to partial fluid saturation: Direct measurements and numerical simulations based on X-Ray CT"
<p>Experimental Data from a Berea sandstone sample. Includes X-ray CT scans and mechanical response of sample.</p> <p>Abstract</p> <p>Quantitatively assessing seismic attenuation caused by fluid pressure diffusion (FPD) in partially saturated rocks is challenging because of its sensitivity to the spatial fluid distribution. To address this challenge we performed depressurisation experiments to induce the exsolution of carbon dioxide from water in a Berea sandstone sample. In a first set of experiments we used medical X-ray computed tomography (CT) to characterise the fluid distribution. At an equilibrium pressure of ~1 MPa and applying a fluid pressure decline rate of ~0.6 MPa per minute, we allowed a change in saturation of less than 1 %. The gas was heterogeneously distributed along the length of the sample, with most of the gas exsolving near the sample outlet. In a second set of experiments, at the same pressure and temperature, following a very similar exsolution protocol, we measured the frequency dependent attenuation and modulus dispersion between 0.1 and 1000 Hz using the forced oscillation method. We observed significant attenuation and dispersion in the extensional and bulk deformation modes, however not in the shear mode. Lastly, we use the fluid distribution derived from the X-ray CT as an input for numerical simulations of FPD to compute the attenuation and modulus dispersion. The numerical solutions are in close agreement with the attenuation and modulus dispersion measured in the laboratory. Our methodology allows for accurately relating attenuation and dispersion to the fluid distribution, which can be applied to improving the seismic monitoring of the subsurface.</p>
Dataset for "Anisotropy of thermal conductivity, thermal expansion coefficient, and seismic wave velocity in oceanic lithosphere--asthenosphere system"
<p>This is the dataset for "Anisotropy of thermal conductivity, thermal expansion coefficient, and seismic wave velocity in oceanic lithosphere--asthenosphere system" by M. Morishige.</p>
Coupled lithospheric deformation in the Qinling Orogen, central China: Insights from seismic reflection and surface-wave tomography
<p><strong>Data of geochronology of intrusive plutons and selected zircon Hf values shown in Figure S1 and the references cited</strong></p>
Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 4)
<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>
Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 1)
<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>
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>
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