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Dataset results
7 results for “Ambient Noise Cross-Correlation”
The ambient noise cross-correlation function and teleseismic events, the Love-wave phase velocities, Rayleigh-wave phase and group velocities and H/V, Vsv and Vsh model in the study region (CNCC)
<p>The cross-correlation functions form EOBSArray (COR_CNCC), The Love-wave phase velocities (Love_phase), Rayleigh-wave phase (Rayleigh_phase) and group velocities (Rayleigh_group) and H/V (HtoV),and 3-D Vsv and Vsh model and related uncertainties (Vsv_Vsh_model) in the study region (CNCC) are archieved in the file named CNCC_data.7z.</p>
Teleseismic P records and ambient noise cross-correlations from a dense ocean-bottom seismometer array at Hyuga-nada
<p><strong>Telesesimic P and ambient noise cross-correlation dataset from a dense OBS array at Hyuganada, SW Japan. </strong> The dataset are used in a manuscript titled 'Shallow low-velocity layer in the Hyuga-nada accretionary prism and its hydrological implications: insights from a passive seismic array', which is submitted to the Journal of Geophysical Research: Solid Earth. It also contains necessary data for reproducing inversion analysis performed in the manuscript. </p> <ol> <li><em>Teleseismic_P.tar.gz</em>: contains teleseismic P wave forms in SAC format </li> <li><em>Noise_cross_corr.tar.gz</em>: contains ambient noise cross-correlation functions in SAC format</li> <li><em>Reproduce.tar.gz</em>: dataset for reproducing inversion analysis. <pre><code class="language-bash"># Example shell script for reproduce inversion results HDA01 cd Reproduce/INV/HDA01 mpirun -np 20 joint_inv joint_inv.in</code></pre> <p>The SEIS_FILO software (https://doi.org/10.5281/zenodo.6330840) is required for this reproduction.</p> </li> </ol>
Ambient noise cross-correlation functions and three-dimensional S-wave velocity structure in the Noto Peninsula, Japan
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Dataset to reproduce "SeisNoise.jl: Ambient Noise Cross-Correlation on the CPU and GPU in Julia"
<p>These data are the 188 LHZ channels from Jan 1, 2019- Jan 1, 2020 mentioned in "SeisNoise.jl: Ambient Noise Cross-Correlation on the CPU and GPU in Julia" by Clements et al. (2020), submitted to Seismological Research Letters.</p> <p>Waveform data used in this study was downloaded from IRIS. Data is from the Berkeley Digital Seismic Network (https://doi.org/10.7932/BDSN), Southern California Seismic Network (https://doi.org/10.7914/SN/CI), Caribbean USGS Network (https://doi.org/10.7914/SN/CU), GEOSCOPE network (https://doi.org/10.18715/GEOSCOPE.G), Global Seismograph Network - IRIS/IDA (https://doi.org/10.7914/SN/II), Global Seismograph Network - IRIS/USGS (https://doi.org/10.7914/SN/IU), United States National Seismic Network (https://doi.org/10.7914/SN/US) and the West Indies French Seismic Network (https://doi.org/10.18715/antilles.WI).</p>
Ambient noise cross-correlation waveforms
<p>The ambient noise cross-correlation waveforms obtained in this study</p> <div> </div> <div> </div> <div></div> <div></div>
ambient noise cross-correlation waveforms
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cross-correlations of seismic ambient noise - Liupan Shan
<p>Stacked cross-correlation functions of the continuous seismic data recorded at the stations around the Liupan Shan area. Data in Text format, named "LPS.stationA_stationB.ZZ".</p> <p>The format of the data is as follows:</p> <p>Lon (stationA) Lat (stationA) Elevation (stationA)</p> <p>Lon (stationB) Lat (stationB) Elevation (stationB)</p> <p>Time (t=0) CF<sub>AB</sub>(t) CF<sub>BA</sub>(t)</p> <p>Time (t=dt) CF<sub>AB</sub>(t) CF<sub>BA</sub>(t)</p> <p>Time (t=2dt) CF<sub>AB</sub>(t) CF<sub>BA</sub>(t)</p> <p>……</p>
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