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14 results for “seismic anisotropy”
Seismic Azimuthal Anisotropy Model Beneath the Alaska Subduction Zone
<p>This dataset is supplementary to:</p> <p>Liu, C., Sheehan, A.F., Ritzwoller, M.H. (2024) (Under review).</p> <p>The uploaded file uses NetCDF4 format and contains isotropic Vsv and depth-dependent azimuthal anisotropy.</p> <p>File format:</p> <p><code>Longitude</code>, <code>Latitude</code>, <code>Depth</code>, <code>Para</code></p> <ul> <li> <p>Dimensions:</p> <ul> <li><code>Longitude</code>: -164.2° to -142.8° with 0.8° interval.</li> <li><code>Latitude</code>: 53.6° to 65.6° with 0.4° interval.</li> <li><code>Depth</code>: 10 to 200 with 5 km interval</li> </ul> </li> <li>Model parameters:<br> <ul> <li><code>vsv</code>: isotropic shear wave velocity (km/s)</li> <li><code>unc_vsv</code>: uncertainty for isotropic shear wave velocity </li> <li><code>fa</code>: depth-dependent fast azimuth (deg)</li> <li><code>unc_vsv</code>: uncertainty for depth-dependent fast azimuth</li> <li><code>amp</code>: depth-dependent anisotropy amplitude (%)</li> <li><code>unc_amp</code>: uncertainty for depth-dependent anisotropy amplitude</li> </ul> </li> </ul> <p> </p>
Seismic anisotropy dataset from Illsley-Kemp et al., G3, 2019 (10.1029/2019GC008529)
<p>The datasets provided here are the seismic anisotropy results for the four seperate regions of New Zealand, reported and discussed in Illsley-Kemp et al., <em>Geochemistry, Geophysics, Geosystems, </em>2019 (10.1029/2019GC008529). </p> <p>If you use this date, please cite the following paper:</p> <p>Illsley-Kemp, F., Savage, M. K., Wilson, C. J. N., & Bannister, S., 2019, 10.1029/2019GC008529. Mapping Stress and Structure from Subducting Slab to Magmatic Rift: Crustal Seismic Anisotropy of the North Island, New Zealand. <em>Geochemistry, Geophysics, Geosystems.</em></p> <p>The data are csv files in the same format as MFAST output (http://mfast-package.geo.vuw.ac.nz), with each column corresponding to the following:</p> <p>1: Result ID</p> <p>2: Station code</p> <p>3: Station latitude</p> <p>4: Station longitude</p> <p>5: Earthquake ID (after GeoNet)</p> <p>6: Year</p> <p>7: Julian day on which the event occurred, with decimal digits giving the fraction of the day</p> <p>8: Earthquake latitude</p> <p>9: Earthquake longitude</p> <p>10: Earthquake-station distance (km)</p> <p>11: Earthquake depth (km)</p> <p>12: Earthquake magnitude</p> <p>13: Back azimuthal angle</p> <p>14: Initial polarisation of the shear wave in degrees</p> <p>15: Error of Spol in degrees, one standard deviation</p> <p>16: Start time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0</p> <p>17: End time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0</p> <p>18: Not used</p> <p>19: Not used</p> <p>20: Signal to noise ratio</p> <p>21: Delay time (δt) between fast and slow shear wave in seconds</p> <p>22: Error of δt in degrees, one standard deviation</p> <p>23: Angle of the orientation of the fast shear wave (φ), in degrees from North</p> <p>24: Error of φ in degrees, one standard deviation</p> <p>25: Angle of incidence at the station, measured against a horizontal plane in degrees, where 0 means vertical incidence</p> <p>26: Not used</p> <p>27: Type of measurement. This field contains the measurement code that is used, the number of measurement window start times and the number of window end times</p> <p>28: Not used</p> <p>29: Not used</p> <p>30: Nyquist frequency of the event in Hz</p> <p>31: Evaluation of the measurement quality</p> <p>32: Lower corner frequency of the bandpass filter in Hz</p> <p>33: Higher corner frequency of the bandpass filter in Hz</p> <p>34: Angle between the initial polarisation and the fast orientation in degrees</p> <p>35: Not used</p> <p>36: Not used</p> <p>37: The maximum value of the eigenvalue of the corrected covariance matrix</p> <p>38: The number of degrees of freedom in the measurement</p> <p>39: The minimum value of the eigenvalue of the covariance matrix before it was scaled to have the 95% confidence level set to 1</p> <p>40: The S-wave travel time between the earthquake and the station</p> <p>41: The dominant frequency in the S wave, determined from the frequency at the maximum spectral amplitude</p>
Supplemental datafiles for the manuscript "On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland"
<p>Files to accompany the submission of the manuscript <strong>"On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland" </strong>to the Journal of Geophysical Research: Solid Earth.<br> <br> <strong>File 1: </strong>conorbacon_ds01.inp - Input file for Coulomb</p> <p><strong>File 2: </strong>conorbacon_ds02.txt - Shear-wave splitting results file</p> <p> </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>
Seismic datasets in "Conjugate fault deformation revealed by aftershocks of the 2013 Mw6.6 Lushan earthquake and seismic anisotropy tomography"
<p>The Lushan seismic dataset used in the manuscript entitled 'Conjugate fault deformation revealed by aftershocks of the 2013 Mw6.6 Lushan earthquake and seismic anisotropy tomography ' submitted to Geophysical Research Letters.</p> <p> </p>
Seismic Anisotropy in the Lower Mantle Transition Zone Induced by Lattice Preferred Orientation of Akimotoite-Dataset
<p>The dataset includes the lattice preferred orientation data of akimotoite aggregates obtained through EBSD and transmitted two-dimensional (2D) X-ray diffraction method at BL04B1 of synchrotron facility of SPring-8, Hyogo, Japan. The employed conditions of 2D X-ray diffraction measurements are also available.</p>
Event Data used in Seismic anisotropy along the Haida Gwaii margin from receiver function analysis
<p>This CSV file contains metadata for earthquake events used in the study: Seismic anisotropy along the Haida Gwaii margin from receiver function analysis</p> <p>Event start time (UTC), latitude, longitude, depth, magnitude and the seismic station at which the event is recorded are included.</p>
Crystallographic Preferred Orientation of Phase D at High Pressure and Temperature: Implications for Seismic Anisotropy in the Mid-mantle
<p> The dataset includes the data of Crystallographic Preferred Orientation of phase D aggregates in this study. It include electron backscatter diffraction (EBSD) mapping data in .cpr and .crc file and transmission two-dimensional X-ray diffraction (2D-XRD) patterns acquired at BL04B1 beamline of synchrotron facility of SPring-8, Hyogo, Japan. </p>
Seismic Azimuthal Anisotropy Model for the Juan de Fuca ‐ Gorda Plate System
<p>This dataset is supplementary to:</p> <p>Liu, C., et al. (2024) Seismic Azimuthal Anisotropy Within the Juan de Fuca ‐ Gorda Plate System, GRL</p> <div> <p>DOI: 10.1029/2024GL111835</p> <p>Azimuthal anisotropy model from 10-100 km</p> <p> </p> <p>Model 1: <code>JdFG_Azi_anisotropy_model.nc</code>: contains</p> <ul> <li>Anisotropic lithospheric layer: base of sediments to 20km below the Moho</li> <li>Anisotropic asthenospheric zone: 50 km thick layer beneath the lithosphere layer</li> <li>A complementary deeper asthenosphere layer </li> </ul> <p>Model 2:<code>JdFG_Azi_anisotropy_model_ios_crust.nc</code>: </p> <ul> <li>Anisotropic lithospheric layer: the Moho to 30km below the Moho</li> <li>Anisotropic asthenospheric zone: 50 km thick layer beneath the lithosphere layer</li> <li>A complementary deeper asthenosphere layer </li> </ul> </div> <p>The uploaded file uses NetCDF4 format.</p> <p>File format:</p> <p><code>Longitude</code>, <code>Latitude</code>, <code>Depth</code>, <code>fa</code>,<code>unc_fa</code>,<code>amp</code>,<code>unc_amp</code></p> <ul> <li> <p>Dimensions:</p> <ul> <li><code>Longitude</code>: -130.2° to -125.0° with 0.4° interval.</li> <li><code>Latitude</code>: 40.6° to 49.0° with 0.4° interval.</li> <li><code>Depth</code>: 10 to 100 with 10 km interval</li> </ul> </li> <li>Model variables: <ul> <li><code>fa</code>: depth-dependent fast azimuth (deg)</li> <li><code>unc_fa</code>: uncertainty for depth-dependent fast azimuth (deg)</li> <li><code>amp</code>: depth-dependent anisotropy amplitude (%)</li> <li><code>unc_amp</code>: uncertainty for depth-dependent anisotropy amplitude (%)</li> </ul> </li> </ul>
Seismic radial and azimuthal anisotropy tomography beneath Greenland and surrounding regions
<p>Dear readers,</p> <p>These four files contain P-wave velocity model beneath Greenland and surrounding regions obtained by regional anisotropy tomography (Toyokuni & Zhao, 2021, ESS). </p> <p>P-wave radial anisotropy (RAN) model<br> RAN_DV0.DAT: Isotropic component (DV0) of RAN tomography<br> -FORMAT: Latitude(deg), Longitude(deg), Depth(km), dVp0(%)</p> <p>RAN_AI.DAT: Anisotropic component RAN tomography<br> -FORMAT: Longitude(deg), Latitude(deg), Depth(km), alpha(%)</p> <p>P-wave azimuthal anisotropy (AAN) model<br> AAN_DV0.DAT: Isotropic component (DV0) of AAN tomography<br> -FORMAT: Latitude(deg), Longitude(deg), Depth(km), dVp0(%)</p> <p>AAN_AI.DAT: Anisotropic component AAN tomography<br> -FORMAT: Longitude(deg), Latitude(deg), Depth(km), FVD(deg), beta(%)</p> <p>We note that the tomography was conducted in the transformed coordinates. The details of the coordinate transformation are described in the above paper. We also note that the fast velocity direction (FVD) of the AAN model is in the transformed coordinates. Please contact us if you want any program to convert it back to the geographical coordinates.</p> <p>We hope it is useful to you.</p> <p>Kind wishes,</p> <p>Genti Toyokuni & Dapeng Zhao<br> Tohoku University, Japan<br> E-mail: toyokuni@tohoku.ac.jp</p> <p>Reference:<br> Toyokuni, G. & Zhao, D. (2021).<br> P wave tomography for 3-D radial and azimuthal anisotropy beneath Greenland and surrounding regions.<br> Earth and Space Science, under review.</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>
Modeling Seismic Anisotropy Beneath the Island of Hispaniola via the Harmonic Decomposition of Receiver Functions
<p>Teleseismic earthquakes data from 17 three-component broadband seismic stations of Hispaniola Island for the years 2016-19.</p>
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>
Strength and seismic anisotropy of textured FeSi at planetary core conditions
<p>Data of the radial diffraction experiment at 300 K and 1100 K</p>
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