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662 results for “seismicity”
Microseismic activity and subsurface structural characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array
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Monitoring Spatiotemporal Seismic Velocity Changes Using Seismic Interferometry and Distributed Acoustic Sensing in Mexico City
<h2>Cross-Correlation Functions (CCFs) Data Files</h2> <p>The dataset consists of four zipped files:</p> <ul> <li> <p><strong>cc_25hz_das1_Freq_0.40-1.20hz.zip</strong></p> <ul> <li> <p>Contains CCFs using DAS fiber-1, sampled at 25 Hz, for the frequency range of 0.40–1.20 Hz.</p> </li> </ul> </li> <li> <p><strong>cc_25hz_das1_Freq_1.20-3.60hz.zip</strong></p> <ul> <li>Contains CCFs using DAS fiber-1, sampled at 25 Hz, for the frequency range of 1.20–3.60 Hz.</li> </ul> </li> <li> <p><strong>cc_25hz_das2_Freq_0.40-1.20hz.zip</strong></p> <ul> <li> <p>Contains CCFs using DAS fiber-2, sampled at 25 Hz, for the frequency range of 0.40–1.20 Hz.</p> </li> </ul> </li> <li> <p><strong>cc_25hz_das2_Freq_1.20-3.60hz.zip</strong></p> <ul> <li>Contains CCFs using DAS fiber-2, sampled at 25 Hz, for the frequency range of 1.20–3.60 Hz.</li> </ul> </li> </ul> <h4> </h4>
Data from: Frictional stability of metamorphic epidote in granitoid faults under hydrothermal conditions and implications for injection-induced seismicity
<p>The effect of low-grade metamorphic epidote on fault stability in granitoids at shallow depth is not well understood. We present structured laboratory observations of epidote and simulated Pohang granodiorite (an EGS site) gouges and mixtures to evaluate their frictional responses. The experiments were performed on powdered rock gouges at a constant confining pressure of 110 <i>MPa</i>, pore fluid pressures of 42 and 63 <i>MPa</i>, temperatures of 100-250℃ and epidote percentages in the range of 0-100 <i>vol</i>.%. Results show that the simulated Pohang granodiorite gouge is frictionally strong (friction coefficient of ~0.71) but exhibits a transition from velocity-strengthening to velocity-weakening behavior at <i>in-situ</i> temperatures >150℃. Epidote gouge displays similar frictional strength to the simulated granodiorite gouge but a stronger velocity-weakening response at 150℃. Increasing the epidote content in the homogeneously mixed gouges maintains the high frictional strength but increases velocity-weakening response approximately proportionately with epidote content. Modes of epidote precipitation likely control patch dimension and this in turn potentially changes the response of the 50:50 epidote-granodiorite mixed gouges in different geometric configurations. However, 50:50 mixtures that are variously homogeneously mixed, encapsulated and checkerboarded in their architectures are insensitive to their various geometries – all reflect the high frictional strength and strong velocity-weakening response of 100:0 pure epidote. This suggests that small volume percentages of epidote present as thin coatings on fractures and faults can impart velocity-weakening behavior, independent of individual patch size and can thereby support the potential seismic reactivation of faults. Considering the frictional and stability properties of epidote at conditions typical of shallow depths, the presence of low-grade metamorphism exerts a potentially important control on fault stability in granitoids with relevance as a marker mineral for susceptibility to injection-induced seismicity.</p>
Probing slip distribution of the 1714 Bhutan earthquake based on interseismic model: implications for seismic hazard
<p>Probing slip distribution of the 1714 Bhutan earthquake based on interseismic model: implications for seismic hazard</p>
Seismicity catalog for Central Chile
<p>File CChile_catalog.txt: Seismicity catalog for Central Chile, containing 11,931 events covering the time span 29/04/2014 to 31/12/2018, in a simple ASCII file. The catalog is described in detail in the article "Microseismicity appears to outline highly coupled regions on the Central Chile megathrust" (https://doi.org/10.1029/2021JB022252)</p> <p> </p> <p>File CChile_catalog_ISC.txt: Version of the same catalog that was homogenized with the ISC bulletin. We added a total of 110 earthquakes, nearly all of them occurring in the 2015 Illapel and 2017 Valparaiso earthquake sequences, that had originally been missed with our automatic approach, but for which picks were available from ISC. Based on these picks from ISC, we processed these events in the same way as the rest of the catalog.</p> <p>For both files, the columns are: Date, time, latitude [decimal degrees], longitude [decimal degrees], depth [km], magnitude [ML]. Please also refer to the abovementioned publication when using this dataset.</p>
The coseismic and post-seismic deformation of 2020 Nima earthquake obatined by InSAR
<p>The two zip files contain the co-seismic deformation and accumulated post-seismic deformation (line of sight ) of ascending and descending orbits of the 2020 Nima earthquake observed by Sentinel-1. The units of co-seismic and post-seismic deformation are meter and millimeter respectively. The positive value is motions to the satellite, and the negative value is motins away from the satellite.</p> <p>If you have any questions about this data, please contact me via <a href="mailto:gaohuastudent@163.com">gaohuastudent@163.com</a>.</p>
Saskatchewan seismic data set 3
<p>Seismic data from Saskatchewan glacier. Includes the waveform data, the log files, and the instrument response file.</p>
Saskechewan Seismic data 1
<p>Seismic data from Saskatchewan glacier. Includes the waveform data, the log files, and the instrument response file.</p>
The seismic waveform of Pn and Sn
<p>The seismic waveform of Pn and Sn used in the paper.</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>
Complexities of Extremely Shallow Damaging Earthquakes as Evidence for Seismogenic Intersecting Faults in Low Seismicity Regions Unloaded by Erosion
<p>The Seismic data used in this paper for inversion Centroid Moment Tensor and First Motion Mechanism</p>
Focal mechanisms and hypocenter locations detected by temporal deployed seismic networks in and around hypocentral area of the 2000 Western Tottori Earthquake
<p>Hypocenter and focal mechanism data in the hypocentral area of the 2000 Western Tottori Earthquake. Detailed description of the datafiles is in README.docx.</p>
Bulk chemical composition of rock samples used to calculate their seismic velocity at lower crustal conditions
<p>These data are linked to a published study, whose aim is to compare the seismic velocity variations, derived from tomographic models (here the CIFALPS profile in the Alps, derived from Nouibat et al., 2022) and interpreted as rock transformations, with the seismic velocities of field samples. One way to predict seismic velocity at lower crustal conditions is to consider natural rocks as isotropic and to calculate their seismic properties from the relative abundance of mineral phases using their acknowledged properties (Abers and Hacker, 2016). In this process, the bulk chemical composition of the samples constitutes the starting data for this study. The subsequent work is based solely on thermodynamic models (here mainly using Holland and Powel, 1998 database) and the physical properties of the mineral phases (database from Abers and Hacker, 2016).</p>
Hypocenter and phase data in by temporal seismic observation on 2000 & 2017 in and around hypocentral area of the 2000 Western Tottori Earthquake
<p>The tar file includes phase data, station, and velocity structure in the temporal observation on 2000 and 2017 in the 2000 Western Tottori earthquake.</p> <p>Contents:</p> <p>Folder pubdat2405:</p> <p> newstruct.ttr17 :</p> <p>1D velocity structure used in the hypocenter determination.</p> <p>Format: https://wwweic.eri.u-tokyo.ac.jp/WIN/man.ja/</p> <p>[First line] Latitude (°), longitude (°), depth (km) of initial epicenter (3F10.0)</p> <p>[2nd line] Number of layers and structure name (I5, 2X, A3)</p> <p>[Line 3] P wave velocity at the top of each layer (km/s) (7F10.0)</p> <p>[4th line] Thickness of each layer (km) (7F10.0)</p> <p>[Line 5] Uncertainty of initial hypocenter (time of epicenter (s), latitude (km), longitude (km), depth (km)) (4F10.0) However, of the "initial hypocenter uncertainty" "Epicenter time(s)" is not actually used.</p> <p>Subfolder 2000 and 2017:</p> <p>ALL Phase data for 2000 and 2017 OBS (incl. focal mechanism un-determined).</p> <p>Each file was written in the “WIN” format.</p> <p>(<a href="https://wwweic.eri.u-tokyo.ac.jp/WIN/man.en/pickfile.html">https://wwweic.eri.u-tokyo.ac.jp/WIN/man.en/pickfile.html</a> )</p>
Data from: A national VS30 model for South Korea to combine nationwide dense borehole measurements with ambient seismic noise analysis
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Data from: Earthquake-spawning faults in the Seoul metropolitan area and their seismic implications
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Data from: Frictional stability of metamorphic epidote in granitoid faults under hydrothermal conditions and implications for injection-induced seismicity
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Data from: Experimental study on seismic performance of a low-energy consumption composite wall structure of a pre-fabricated lightweight steel frame
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Data from: The behavioural response of migrating humpback whales to a full seismic air gun array
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Data from: Assessment of dynamic material properties of intact rocks using seismic wave attenuation: an experimental study
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International Brain Laboratory public data
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OpenNeuro
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