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35 results for “Seismic waves”
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>
Seismic wave propagation in partially saturated rocks with a fractal distribution of fluid-patch size
<p>Laboratory experiments on partially saturated rocks show that seismic attenuation can be significant, where the main mechanism is wave-induced local fluid flow (WILFF) due to patchy saturation at different spatial scales. We propose a theory to obtain the seismic properties of partially saturated rocks based on fractal (self-similar) patches, leading to an effective frequency-dependent fluid modulus. The model combines the differential effective medium (DEM) and Biot-Rayleigh theories, where the patches are inclusions incrementally added, such that the effective fluid is assumed the host for the next addition. The analysis shows that the seismic properties are independent on the number of iterations, but depend on the scale range (radius) of the inclusions, fractal dimension <em>D<sub>f</sub></em> of the self-similar distribution, parameter <span class="math-tex">\(\theta\)</span> of the exponential distribution, mean radius <em>r</em><sub>0</sub> and variance <span class="math-tex">\({\sigma_r}^2\)</span> of the Gaussian distribution. Forced-oscillation experiments are performed on a limestone sample under partial water-saturation conditions at seismic frequencies (2-500 Hz), to obtain the velocity dispersion and extensional attenuation. The proposed theory provides a reasonable description of the experimental data and other existing measurements on Berea sandstone and tight carbonates.</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>
Forecasting ocean wave-induced seismic noise; supporting dataset
<p>Dataset supporting the manuscript "Forecasting ocean wave-induced seismic noise".</p>
Seismic detection of oceanic internal gravity waves from subaerial seismometers
Open the record for dataset details and reuse information.
Shear wave splitting measurements used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand"
<p>Shear wave splitting measurement used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand" is included here. This CSV and XLSX file are part of a paper submitted to GJI in April 2020. A detailed description of the column headers can be found in the MFAST manual, in table 4, at http://mfast-package.geo.vuw.ac.nz/mfast_manual_v2.2.pdf</p>
Data from: Assessment of dynamic material properties of intact rocks using seismic wave attenuation: an experimental study
The mechanical properties of any substance are essential facts to understand its behaviour and make the maximum use of the particular substance. Rocks are indeed an important substance, as they are of significant use in the energy industry, specifically for fossil fuels and geothermal energy. Attenuation of seismic waves is a non-destructive technique to investigate mechanical properties of reservoir rocks under different conditions. The attenuation characteristics of five different rock types, siltstone, shale, Australian sandstone, Indian sandstone and granite, were investigated in the laboratory using ultrasonic and acoustic emission instruments in a frequency range of 0.1–1 MHz. The pulse transmission technique and spectral ratios were used to calculate the attenuation coefficient (α) and quality factor (Q) values for the five selected rock types for both primary (P) and secondary (S) waves, relative to the reference steel sample. For all the rock types, the attenuation coefficient was linearly proportional to the frequency of both the P and S waves. Interestingly, the attenuation coefficient of granite is more than 22% higher than that of siltstone, sandstone and shale for both P and S waves. The P and S wave velocities were calculated based on their recorded travel time, and these velocities were then used to calculate the dynamic mechanical properties including elastic modulus (E), bulk modulus (K), shear modulus (µ) and Poisson's ratio (ν). The P and S wave velocities for the selected rock types varied in the ranges of 2.43–4.61 km s−1 and 1.43–2.41 km h−1, respectively. Furthermore, it was observed that the P wave velocity was always greater than the S wave velocity, and this confirmed the first arrival of P waves to the sensor. According to the experimental results, the dynamic E value is generally higher than the static E value obtained by unconfined compressive strength tests.
Focused mantle upwelling beneath the Southeastern Asian Basalt Province revealed by seismic surface wave tomography
<p>This dataset contains the earthquake waveforms, the manually picked surface wave dispersion data, and the final inverted 3-D Vs model data for our research paper "Focused mantle upwelling beneath the Southeastern Asian Basalt Province revealed by seismic surface wave tomography", which has been published in <strong><em>Geophysical Research Letters</em></strong> (<a href="https://doi.org/10.1029/2023GL104336">https://doi.org/10.1029/2023GL104336</a>).</p>
Seismic metasurfaces on porous layered media: Surface resonators and fluid-solid interaction effects on the propagation of Rayleigh waves
<p>Matlab codes related to the results in published journal papers: <a href="https://doi.org/10.1016/j.ijengsci.2020.103347">https://doi.org/10.1016/j.ijengsci.2020.103347</a></p>
Data from: Assessment of dynamic material properties of intact rocks using seismic wave attenuation: an experimental study
Open the record for dataset details and reuse information.
Passive seismic imaging of near vertical structures around the SAFOD site, California, jointly using scattered P and SH waves
<p>1, The P and S velocity model are in the velocity folder which written by binary format (float). The size of the velocity model is 101*101*56(Nx Ny Nz) with a 200 meter grid. The upleft corner is (-10km -10km -1km). The unit of the velocity is km/s.</p> <p>2, The stations and events are in the geometry folder:</p> <p>the format of the file is</p> <p>Number of the stations/events</p> <p>Name of the stations/events, X(km), Y(km), Z(km). </p> <p>the origin of the coordinates system is the bole hole SAFOD, and the local coordinates was rotated by 40.5 degree.</p> <p>The name of the events was the origin time (precise to the minute) of the events.</p> <p>For example:</p> <p>the 1227042400 indicates that </p> <p>Year JulianDay hour minute second</p> <p>2001 227 04 24 00</p> <p>You can get the details and download the waveform at the website https://www.fdsn.org/networks/detail/XN_2000/ and https://www.fdsn.org/networks/detail/BP/</p> <p>2.1) the "events_3.7km_56" includes 56 events that was at the same depth~3.7km, The common station (The TANK Station) gather was shown in figure 6. </p> <p>2.2) "events_all" indicates 560 events that shown in Figure 4, and there are about 10 events not in the SAF, we did not use them, the "events_rm_outlier" are the 546 events we lastly used.</p> <p>2.3) "stations.dat.65" is the combination of the PASO and HRSN that in 20km square area as shown in Figure1.</p>
Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 3)
<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>
Dataset - Solving Seismic Wave Equation on Variable Velocity Models with Fourier Neural Operator
<p>The directory contains velocity models from OpenFWI dataset collection. These velocity models are the inputs of the FNO-based sovlers in the paper <strong><em>Solving Seismic Wave Equation on Variable Velocity Models with Fourier Neural Operator</em></strong>.</p>
Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours"
<p>Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours". This file includes the tilt record at the coastal tiltmeter SAMH during the 2010 Chile earthquake. The dataset was uploaded to Zenodo during the review process, but now can be available at the institutional repository of the National Research Institute for Earth Science and Disaster Resilience (NIED-IR, https://nied-ir.bosai.go.jp). To access the dataset, please visit http://doi.org/10.17598/NIED.0018.</p> <div> </div>
CSRM Level 2 dataset: tele-seismic P-wave polarization angle in continental China
<p>This dataset contains the tele-seismic P-wave polarization angles (<strong>total 5,439,702 measurements</strong>) measured from P wave waveforms of 9361 tele-seismic events recorded by <strong>3848</strong> seismic stations deployed in continental China. This dataset results from a project of constructing a 3-D seismic model of the shallow crust in continental China (<a href="https://doi.org/10.1093/gji/ggab022">Xiao et al, 2021, GJI</a>) (<a href="https://doi.org/10.5281/zenodo.8099245">model link</a>). </p> <p>本数据集包含了利用中国大陆区域 <strong>3848</strong> 个地震台站记录的 9361 个远震事件的 P 波波形测量得到的 P 波偏振角度 (<strong>总共 </strong><strong>5,439,702 个</strong>) 。本数据集源于构建中国大陆区域高精度浅层地壳三维地震学模型的工作 (<a href="https://doi.org/10.1093/gji/ggab022">Xiao et al, 2021, GJI</a>) (<a href="https://doi.org/10.5281/zenodo.8099245">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
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