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781 results for “earthquakes”
Surface displacement measurements and fault slip models for the 1997 Mw 7.2 Zirkuh earthquake
<p><strong>Source models of the 1997 Mw 7.2 Zirkuh earthquake inferred from InSAR and optical correlation displacement field </strong></p> <p><strong>Introduction</strong></p> <p>We provide the InSAR and optical correlation displacement fields of the 1997 Mw 7.2 Zirkuh earthquake (NE Iran).<br> The InSAR data have been processed by Sudhaus and Jonsson (2011) and the optical correlation data by Marchandon et al. (2017). <br> We also provide the different fault slip models for the earthquake inferred from these data and published in Marchandon et al. (2017). <br> Finally, we include the source code of the genetic algorithm used in Marchandon et al. (2017) to infer the uniform slip models of the Zirkuh earthquake.<br> This genetic algorithm (Sudhaus and Jonsson, 2011) allows estimating the geometry and a uniform slip value for each segment of the fault. The Abiz fault, that broke during the Zirkuh earthquake, <br> is a complex structure with many fault strike variations that requires 16 segments to be properly modelled. Thus, a penalty function is implemented to constrain the algorithm to sample models<br> with limited dip angle fluctuations between neighboring segments (Sudhaus and Jonsson, 2011). The rupture is modelled as a dislocation embedded in an elastic half-space (Okada, 1992). </p> <p>For further information about the data, the method and the model results, see Marchandon et al. (2017). </p> <p><strong>Content</strong></p> <p>Data: InSAR data, optical Correlation data, weighting matrix files in .mat format, matlab script to plot the data. <br> Fault: Abiz fault segment locations file in .mat format and matlab script to plot the fault.<br> Scripts: All scripts needed to run the Non-linear optimization.<br> Models: Fault slip models for the Zirkuh earthquake and matlab script to plot them. </p> <p><strong>References</strong></p> <p>Sudhaus, H., and S. Jonsson (2011), Source model for the 1997 Zirkuh earthquake (Mw=7.2) in Iran derived from JERS and ERS InSAR observations, Geophysical Journal International, <br> 185(2), 676–692, doi:10.1111/j.1365-246X.2011.04973.x.</p> <p>Marchandon, M., Vergnolle M., Sudhaus, H., and Cavalié., O., (2017) Fault geometry and slip distribution at depth of the 1997 Mw 7.2 Zirkuh earthquake: <br> contribution of near-field displacement data, accepted with minor revisions at Journal of Geophysical Research: Solid Earth. </p> <p>Okada, Y. (1992), Internal deformation due to shear and tensite faults in a half-space, Bulletin of Seismological Society of America, pp. 1018–1040.</p> <p> </p>
Shallow Focal Depths of the 2022 Ms 6.8 Luding Earthquake and its M ≥ 3 Aftershocks
<p>Event waveforms of the 2022 Luding earthquake sequence used for focal depth determination and focal mechanism inversion</p>
Satellite Fault Mapping of 1968 & 1979 Dasht-e Bayaz earthquake ruptures, Iran
Open the record for dataset details and reuse information.
The postseismic GPS displacements at different time windows following the 2024 M7.5 Noto Peninsula, Japan Earthquake
<p>The postseismic GPS displacements at different time windows following the 2024 M7.5 Noto Peninsula, Japan Earthquake.</p> <p>This data is based on the GPS time series from Nevada Geodetic Laboratory (NGL <span>http://geodesy.unr.edu/ )</span>.</p> <p>The format of data is:</p> <p>Time, lon, lat, dn, de, du, sign, sige, sigu</p>
Focal mechanisms for the 2016 Gyeongju earthquake sequence
<p>Focal mechanism solutions for the 138 earthquakes that occurred in Gyeongju, South Korea from 12 Sepetember to 15 December 2016</p>
FIGURE 4 in Enduring the Earthquake: Rediscovery of the Critically Endangered Mesilau Stream Toad, Ansonia guibei Inger, 1966 (Anura, Bufonidae) and its conservation implications
FIGURE 4. Locations around Mesilau, Sabah where Ansonia guibei adult and tadpoles were recently detected.
FIGURE 3 in Enduring the Earthquake: Rediscovery of the Critically Endangered Mesilau Stream Toad, Ansonia guibei Inger, 1966 (Anura, Bufonidae) and its conservation implications
FIGURE 3. Tadpoles of Ansonia guibei. A. Small group of A. guibei tadpoles grazing on a rock at night along the edge of the Mesilau East River. B. Uncollected tadpole of A. guibei from Mesilau East River. C. Uncollected tadpole of A. guibei from Tibabar Stream. Note the characteristic divided lower jaw beaks that distinguish them from other Bornean Ansonia tadpoles. Photographs by Evan S.H. Quah.
FIGURE 2 in Enduring the Earthquake: Rediscovery of the Critically Endangered Mesilau Stream Toad, Ansonia guibei Inger, 1966 (Anura, Bufonidae) and its conservation implications
FIGURE 2. Breeding habitat of Ansonia guibei at Mesilau, Sabah. A. Habitat at Mesilau East River. B. Habitat at Tibabar Stream. C. Aggregation of A. guibei tadpoles clinging to the rocks in the clear, fast-flowing waters of the Mesilau East River during the daytime. Photographs by Evan S.H. Quah.
FIGURE 5 in Enduring the Earthquake: Rediscovery of the Critically Endangered Mesilau Stream Toad, Ansonia guibei Inger, 1966 (Anura, Bufonidae) and its conservation implications
FIGURE 5. Habitat damage caused by the 2015 earthquake along various sections of the Mesilau East River. A & B. Uprooted trees and landslides along the banks of the river. C. Siltation in the river during the rainy season caused by the soil and rubble being eroded into the river on the exposed banks. Photographs by Evan S.H. Quah.
FIGURE 1 in Enduring the Earthquake: Rediscovery of the Critically Endangered Mesilau Stream Toad, Ansonia guibei Inger, 1966 (Anura, Bufonidae) and its conservation implications
FIGURE 1. Ansonia guibei and its habitat at Mesilau, Sabah. A. Mesilau Cave, the type locality of A. guibei. B. Dorsolateral aspect of A. guibei (BORNEENSIS HEP 10605) in life. C. Venter of A. guibei (BORNEENSIS HEP 10605) in life. D. Dorsum of A. guibei (BORNEENSIS HEP 10605) in preservation. E. Venter of A. guibei (BORNEENSIS HEP 10605) in preservation. Photographs by Evan S.H. Quah.
The 19-day aftershock catalog following the 2024 Noto Peninsula earthquake
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Dataset for the 2019 Weiyuan Mw 5.0 earthquake
<p>The earthquake catalog and materials necessary to reproduce the catalog</p>
Data publication for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone"
<p><strong>Abstract</strong>: b-value catalog data publication supplement for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone" (Folesky, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a>). b-vales were computed based on the IPOC seismic catalog for northern Chile (Sippl et al., 2023). b-values are computed only for events that have a known stress drop value, as assigned by Folesky et al., 2024. b-values are computed for the 200-1000 nearest neighbors of each event within a maximum distance of 50km using the maximum likelihood approach as implemented by T.Goebel (Geobel et al., 2017). Each seismotectonic class (Sippl et al., 2023) is processed separately. The standard deviation of the fit is obtained by 100 bootstrap iterations for each event while discarding randomly selected 10% of the neighbors.</p> <p><strong>File descriptions</strong>: table columns <br>ID, cls, Lon, Lat, Depth, Magntiude, a, b, Std<br>------------------<br>explanation<br>ID : origin time<br>cls : event class<br>Lon : longitude <br>Lat : latitude<br>Depth : depth in km<br>Magnitude : magnitude (MA)<br>a : a- value <br>b : b- value<br>Std : standard deviation from bootstrapping</p> <p><strong>References</strong>:</p> <p>Folesky, Jonas, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a></p> <p>Sippl, C., Schurr, B., Münchmeyer, J., Barrientos, S., Oncken, O. (2023): Catalogue of Earthquake Hypocenters for Northern Chile from 2007-2021 using IPOC (plus auxiliary) seismic stations. <a title="Follow link" href="https://doi.org/10.5880/GFZ.4.1.2023.004" target="_blank" rel="nofollow noopener">https://doi.org/10.5880/GFZ.4.1.2023.004</a></p> <p>Folesky, J., Pennington, CN., Kummerow J., Hofman LR. (JGR: Solid Earth, 2024) <a href="https://doi.org/10.1029/2023JB027549">https://doi.org/10.1029/2023JB027549</a></p> <p>Goebel, T. H., Kwiatek, G., Becker, T. W., Brodsky, E. E. & Dresen, G. What allows seismic events to grow big?: Insights from b-value and fault roughness analysis in laboratory stick-slip experiments. Geology 45, 815–818 (2017).</p>
Data and Code for "Fault Network Geometry Influences Earthquake Frictional Behavior"
<p>This dataset contains the data and code necessary to reproduce the results presented in the paper, "Fault-Network Geometry Influences Earthquake Frictional Behavior" <em>Nature</em> (2024), authored by J. Lee, V. C. Tsai, G. Hirth, A. Chatterjee, and D. T. Trugman.</p> <p>https://doi.org/10.1038/s41586-024-07518-6</p>
Challenges in submarine fiber-optic earthquake monitoring
<p>This dataset contains three subsets of data from a Distributed Acoustic Sensing (DAS) experiment near Santorini, Greece. The file named microseisms* contains 10 minutes of data during a period of strong microseismic activity. The two files named earthquake* contain the data for two seismic events underneath the Kolumbo volcanic chain. </p>
Supplementary material for 3D wave propagation and earthquake dynamic rupture simulations in complex poroelastic media
<p>This repository contains all files to reproduce the SeisSol simulations for the article "3D wave propagation and earthquake dynamic rupture<br>simulations in complex poroelastic media" submitted to GJI.</p>
3D Coseismic Deformation of the 2023 Türkiye Mw7.8-7.5 Earthquake Doublet Deduced from High-rate GNSS Observations
<p>3D displacements of the 2023 Türkiye Mw7.8-7.5 earthquakes derived from high-rate GNSS data.</p> <p>This Zenodo repository contains 3D displacements for the paper "Coseismic Deformation and Kinematic Rupture Process of the 2023 Türkiye Mw7.8-7.5 Earthquake Doublet Deduced from High-rate GNSS Observations " by Dong et al. in Geophysical Journal International. If you use any of the data or models please cite it accordingly.</p> <p>For any questions or issues, email Zhihua Dong at <a href="mailto:dmelgarm@uoregon.edu">dongzhihua93@163.com</a>. </p>
Supplementary tables for Water Geochemistry and Stable Isotope Changes Record Groundwater Mixing After a Regional Earthquake in Northeast India
<p>This is the supplementary material for <strong>Water Geochemistry and Stable Isotope Changes Record Groundwater Mixing After a Regional Earthquake in Northeast India</strong></p>
Source Parameters and Ground Motion Simulation of the 2023 MW 5.5 Pingyuan Earthquake in the North China Plain
<p>Broadband seismic waveform data used for determining the focal mechanism and depth of the 2023 <em>M</em><sub>W</sub> 5.5 Pingyuan earthquake</p>
High resolution shallow structure of Ebao basin revealed with DAS ambient noise tomography and its relation to earthquake ground motion
<p>EBAO dataset: fig2b, fig3a, fig9, figS5</p>
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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