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32 results for “Seismic tomography,”
Data and program codes to reproduce the results of seismic tomography for the Northern Paramushir Island and Ebeko Volcano (Kuril Arc)
<p>This file contains the files to reproduce the results presented in the article: by Ivan Koulakov et al. (2024). Seismic structure beneath Ebeko Volcano and surrounding areas of Paramushir Island (Kuril Arc) inferred from local earthquake tomograph, Journal of Volcanology and Geothermal Research.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Paramushir Island.</p> <p>3. README_EBEKO.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>4. Folder SRF_FIGS with figures from the paper created in Surfer-13 that can be used as templates to visualize the results. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
A Novel 3-D Seismic Scattering and Intrinsic Attenuation Tomography and Its Application to Northern Sumatra
Open the record for dataset details and reuse information.
Data and program codes to reproduce the results of seismic tomography for the central Iturup Island (Kuril Arc)
<p>This file contains the files to reproduce the results presented in the article: by Ivan Koulakov et al. (2024). "<span>Feeding system beneath active volcanoes in central part of Iturup Island (Kuril Arc) inferred from local earthquake tomography"</span>, Journal of Volcanology and Geothermal Research.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Iturup Island.</p> <p>3. README_ITURUP.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>4. Folder SRF_files with figures from the paper created in Surfer-13 that can be used as templates to visualize the results. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
The seismic signature and geothermal potential of the Schwechat Depression in the Vienna Basin, Austria, from ambient noise tomography
<p>This folder contains the cross-correlation functions, the Love and Rayleigh dispersion measurements, the Love and Rayleigh2D group velocity maps, the 3D shear-wave velocity model and a Paraview file for 3D visualization of the Vs model. For further information refer to "C. Esteve, Y. Lu, J. M. Gosselin, R. Kramer, Y. Aiman, G. Bokelmann, 2024, The seismic signature and geothermal potential of the Schwechat Depression in the Vienna Basin, Austria, from ambient noise tomography" published in Geothermics.</p>
Fine seismic imaging of the Lianhuashan fault zone, South China, and tectonic implications – Constrained by ambient noise adjoint tomography
<p>The Rayleigh wave group velocity dispersion and the cross-correlation functions used in the study "Fine seismic imaging of the Lianhuashan fault zone, South China, and tectonic implications – Constrained by ambient noise adjoint tomography".</p>
Data and program codes to reproduce the results of seismic tomography for the Augustine Volcano (Alaska)
<p>This file contains the files to reproduce the results presented in the article: by Ivan Koulakov, Saleh Ismail Quasi, and Pavel Izbekov (2023). Structure of shallow magma sources beneath Augustine Volcano (Alaska) inferred from local earthquake tomography, <em>Journal of Geophysical Research, Solid Earth</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Augustine Volcano in Alaska.</p> <p>3. README_AUGUSTINE.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p> <p> </p> <p> </p>
A new lithospheric density and magnetic susceptibility model of Iran, starting from high resolution seismic tomography
<p>The Iranian collisional belt formed through different geological events, some of which are still in progress, such as the convergence between Eurasian and Arabian plates, that led to the formation of a complex structure throughout the entire area. To better investigate these structures, we realize a 3D model of the lithosphere in Iran showing the density and the magnetic susceptibility distribution, obtained from a Bayesian joint gravity and magnetic field inversion, starting from a high-resolution seismic tomography (Kaviani et al., 2020). With these models we also calculate the rigidity distribution of the area. The Data Cube uploaded contains the density, magnetic susceptibility and shear modulus volumes, the Bouguer gravity field and the magnetic field, and the Moho, Curie depth and sediment base depth surfaces.</p>
Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California
<p>Earthquake relocations and Vp and Qp models of The Geysers geothermal field developed by Guo and Thurber (2021).</p> <p> </p> <p>Reference:</p> <p>Hao Guo, Clifford Thurber, 2021. Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California, Geophysical Journal International, ggab017, https://doi.org/10.1093/gji/ggab017</p>
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>
Lithospheric structure of the southern Amazonian Craton from multiple-frequency seismic tomography: Preliminary insights on tectonic and metallogenic implications
<p>Multiple-frequency tomographic model database for the Amazonian craton published in the Journal of South American Earth Sciences (https://doi.org/10.1016/j.jsames.2020.102608)</p>
Dataset and 3D Vs Model for "Crustal velocity images of north-western Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography"
<p>Final 3D Vs model and dispersion data for the paper entitled "Crustal velocity images of north-western Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography".</p> <p>In the vel_files folder, there are 10 files for each depth for 1-15 km. The format of each velocity file is as follows:</p> <p>Column Value<br> 1 Lattitude (°)<br> 2 Longitude (°)<br> 3 Vs (km/s)</p> <p>The format of the dispersion data is as follows (See <a href="https://www.eas.slu.edu/eqc/eqc_cps/TUTORIAL/EMPIRICAL_GREEN/example1.html">Computer Programs in Seismology Tutorials - do_mft</a> for more information on the format):</p> <p>Column Value<br> 1 Type of file, MFT96<br> 2 Wave type: R for Rayleigh <br> 3 Dispersion type: U for group velocity<br> 4 Mode: 0 represents the fundamental mode<br> 5 Filter period, T, in seconds<br> 6 Dispersion value, either group or phase<br> 7 Error in dispersion. This is just a place holder since there is no way to estimate an error from a single trace. The group velocity error is determined from the ratio of the filter period to travel time<br> 8 Distance in km<br> 9 Azimuth from the source to the receiver<br> 10 Spectral amplitude. <br> 11 Epicenter latitude <br> 12 Epicenter longitude<br> 13 Station latitude<br> 14 Station longitude<br> 15 control flag<br> 16 control flag<br> 17 Instantaneous period if this is preferred. This differs from the ilter period because the signal spectram is not flat.<br> 18 Comment: keyword<br> 19 Station <br> 20 Component<br> 21 Year<br> 22 Day of year<br> 23 Hour<br> 24 Minute - these identify the event origin time </p>
Lithospheric structure of the southern Amazonian Craton from multiple-frequency seismic tomography: Preliminary insights on tectonic and metallogenic implications
<p>Multiple-frequency tomographic model database for the Amazonian craton submitted to Geophysical Journal International</p>
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