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662 results for “seismicity”
Competing controls of fluid overpressurization and chloritization on strength and instability of faults in granite: Implications for seismicity triggered by fluid-injection
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ABoVE: Soil Temperature Profiles, USArray Seismic Stations, 2016-2021
This dataset includes soil temperature profile measurements taken at 63 monitoring sites associated with the USArray program, located across the NASA ABoVE domain in interior Alaska. The measurement dates and depths vary per site as does measurement frequency (hourly or every 6 hours). Measurements were made from the soil surface to a maximum depth of 1.5 m from 2016-2021 using temperature sensors attached to HOBO data loggers. These measurement stations complement existing temperature monitoring networks allowing for better characterization of ground temperatures and permafrost conditions across Alaska. This station data complement an existing temperature monitoring network, allowing for better characterization of ground temperatures and permafrost conditions in northern and western Alaska. The temperature measurements are provided for each site in 64 data files in comma-separated values (.csv) format. Site descriptive data are also provided for soil, vegetation, and location.
ABoVE: Soil Temperature Profiles, USArray Seismic Stations, AK and Canada, 2016-2019
This dataset includes soil temperature profile measurements taken at 16 monitoring sites in Alaska, USA, and at one site in Yukon, Canada. The six sites are collocated with seismic stations of the USArray program. The measurement dates and depths vary per site as does measurement frequency (hourly or every 6 hours). Measurements were made from the soil surface to a maximum depth of 1.5 m. Measurements were made from 2016-2018 at two sites, 2017-2019 at four sites, and 2018-2019 at 11 sites using temperature sensors attached to HOBO data loggers. These measurement stations complement existing temperature monitoring networks allowing for better characterization of ground temperatures and permafrost conditions across Alaska.
Identification of a responsive gene set to evaluate the potential impact of seismic exposure on Atlantic salmon (Salmo salar) inner ear
GEO Series GSE33257. Osmerus mordax; Salmo salar; Coregonus clupeaformis; Oncorhynchus mykiss; Oncorhynchus tshawytscha. 4 samples. Type: Expression profiling by array.
Valparaiso Seismic Swarm of April 2017
<p>Catalog of earthquakes and focal mechanisms associated to the published work "Nucleation Phase and Dynamic Inversion of the Mw 6.9 Valparaíso 2017 Earthquake in Central Chile" in Geophysical Research Letter.</p>
Dataset from "Subsurface Structure at the InSight landing site from compliance measurements by seismic and meteorological experiments"
<p>This document describes the data available in this folder. These data include both modeling data and derived data obtained from the raw data of the InSight SEIS and APSS experiments. For the raw data, we acknowledge :</p> <p>InSight Mars SEIS Data Service. (2019). SEIS raw data, Insight Mission. IPGP, JPL, CNES, ETHZ, ICL, MPS, ISAE-Supaero, LPG, MFSC. https://doi.org/10.18715/SEIS.INSIGHT.XB_2016</p> <p>The dataset described was used to produce all the Figures and Table 3 of the following paper (referred to as Kenda et al., 2020, in the rest of this document):</p> <p>B. Kenda, M. Drilleau, R. Garcia, T. Kawamura, N. Murdoch, N. Compaire, P. Lognonné, A. Spiga, R. Widmer-Schnidrig, P. Delage, V. Ansan, C. Vrettos, S. Rodriguez, W. B. Banerdt, D. Banfield, D. Antonangeli, U. Christensen, D. Mimoun, A. Mocquet, T. Spohn, Subsurface structure at the InSight landing site from compliance measurements by seismic and meteorological experiments. Journal of Geophysical Research: Planets.</p> <p>The folder is subdivided into the following folders (in alphabetical order):</p> <ul> <li>Compliance_models_and_sensitivity this folder contains structural models of the near surface and the corrseponding calculated ground compliance as a function of frequency. These were used to illustrate the theory described in the paper and to exhibit the sensitivity of ground compliance to a variety of parameters. In particular, the data were used to produce Figures 1, 2, 3, 4, 5 and 9 of Kenda et al. (2020).</li> <li>Mars_data contains a series of data derived from the InSight SEIS and APSS observations, including examples of coherence between seismic and pressure measurements, and compliance observations based on two different techniques. These data are represent in Kenda et al. 2020 in Figures 6, 7 and 8.</li> <li>Mars_inversion contains the results of the inversion of Martian data performed in our study and used to guide our interpretations. These data were used to produce Figures 15, 16, 17 and 18, and Table 3 of Kenda et al. (2020).</li> <li>Synthetic_inversion presents the data relative to the inversion scheme and to a series of synthetic tests (Figures 10, 11, 12, 13 and 14 of Kenda et al., 2020).</li> </ul> <p>All data are provided in ASCII format, with a detailed description in the README.txt file in each of the subfolders.</p>
Geophysical data from: "Seismic Signatures Reveal Persistence of Soil Compaction"
<p>The geophysical data presented herein was collected in the Soil Structure Observatory (see, Keller et. al. 2017) and were used to create Figures 3, 4, 5, and 6 for the manuscript titled: "Seismic Signatures Reveal Persistence of Soil Compaction". The data set includes:<br> <br> Time-lapse seismic data collected for different time periods at the full-compacted ley (CL), non-compacted ley (NL) and full-compacted bare soil (CB):</p> <p>CL.zip</p> <p>NL.zip</p> <p>CB.zip</p> <p>The time-lapse data files are in a seg2 format. Information regarding the acquisition time and date, sampling frequency and geometry of the seismic array can be found in the file headers.</p> <p><br> Time-domain reflectometry data (TDR) from 2019 collected at various depths at the soil treatments mentioned above:</p> <p>2019_BlockC_TDR.csv</p> <p>Meteorological data from 2019 collected at the SSO:</p> <p>2019_Meteo.csv</p> <p>The corrected first-break and zero-crossing picks along with the mean value and standard deviation of estimated seismic velocities for CL, NL and CB.</p> <p>picked_times-seismic_velocities.ods</p> <p>Volumetric water content at 10 cm depth inferred from TDR data using Topp's equation.</p> <p>water_content10cm.ods</p> <p> </p> <p>Keller, T., Colombi, T., Ruiz, S., Manalili, M. P., Rek, J., Stadelmann, V., ... & Schymanski, S. (2017). Long-Term Soil Structure Observatory for Monitoring Post-Compaction Evolution of Soil Structure. <em>Vadose Zone Journal</em>, <em>16</em>(4).</p> <p> </p>
Synthetic earthquake catalogs generated for "Dual seismic migration velocities in seismic swarms"
<p>Synthetic earthquake catalog for 40 simulations presented in "Dual seismic migration velocities in seismic swarms" by P. Dublanchet and L. De Barros, submitted to Geophysical Research Letters. Each file corresponds to one simulation described in the original paper. The three columns of each file are:</p> <p>-time of earthquake (in s)</p> <p>-location of earthquake (in m)</p> <p>-size of earthquake (in m)</p>
Passive seismic imaging of near vertical structures around the SAFOD site, California, jointly using scattered P and SH waves
<p>1, The P and S velocity model are in the velocity folder which written by binary format (float). The size of the velocity model is 101*101*56(Nx Ny Nz) with a 200 meter grid. The upleft corner is (-10km -10km -1km). The unit of the velocity is km/s.</p> <p>2, The stations and events are in the geometry folder:</p> <p>the format of the file is</p> <p>Number of the stations/events</p> <p>Name of the stations/events, X(km), Y(km), Z(km). </p> <p>the origin of the coordinates system is the bole hole SAFOD, and the local coordinates was rotated by 40.5 degree.</p> <p>The name of the events was the origin time (precise to the minute) of the events.</p> <p>For example:</p> <p>the 1227042400 indicates that </p> <p>Year JulianDay hour minute second</p> <p>2001 227 04 24 00</p> <p>You can get the details and download the waveform at the website https://www.fdsn.org/networks/detail/XN_2000/ and https://www.fdsn.org/networks/detail/BP/</p> <p>2.1) the "events_3.7km_56" includes 56 events that was at the same depth~3.7km, The common station (The TANK Station) gather was shown in figure 6. </p> <p>2.2) "events_all" indicates 560 events that shown in Figure 4, and there are about 10 events not in the SAF, we did not use them, the "events_rm_outlier" are the 546 events we lastly used.</p> <p>2.3) "stations.dat.65" is the combination of the PASO and HRSN that in 20km square area as shown in Figure1.</p>
Seismic dataset in "General Dislocation Source Model and its Application to Microseismic Focal Mechanism Inversion"
<p>This dataset contains the seismic data and the velocity model used in the manuscript entitled "General dislocation source model and its application to microseismic focal mechanism inversion" submitted to Geophysical Journal International.</p>
Seismic dataset in "General Dislocation Source Model and its Application to Microseismic Focal Mechanism Inversion"
<p>This dataset contains the seismic data and the velocity model used in the manuscript entitled "General dislocation source model and its application to microseismic focal mechanism inversion" submitted to Geophysical Journal International.</p>
Seismic efficiency of meteoroid strikes in Martian bedrock and regolith
<p>Data set used in the submitted paper</p>
Frictional stability of porous tuff breccia under subsurface pressure conditions and implications for shallow seismicity
<p>This data set corresponds to all experimental raw data presented in the manuscript entitled "Frictional stability of porous tuff breccia under subsurface low pressure and implications for shallow seismicity" by Mizoguchi et al. Each file with .dat extension includes four scalar values (elapsed time, shear displacement, normal stress and shear stress) at each time step, delimited by a comma, and can be viewed in any standard text editor. </p>
Changes in diffuse degassing from the summit crater of Teide volcano (Tenerife, Canary Islands) prior to the 2016 Tenerife long-period seismic swarm
<p>Data paper "Changes in diffuse degassing from the summit crater of Teide volcano (Tenerife, Canary Islands) prior to the 2016 Tenerife long-period seismic swarm".</p>
Data from: Re-evaluating the geological evidence for Late Holocene marine incursion events along the Guerrero Seismic Gap on the Pacific Coast of Mexico
Despite the large number of tsunamis that impact Mexico's Pacific coast, stratigraphic studies focusing on geological impacts are scanty, making it difficult to assess the long-term risks for this vulnerable region. Surface samples and six cores were taken from Laguna Mitla near Acapulco to examine sedimentological and geochemical evidence for marine incursion events. Sediment cores collected from behind the beach barrier are dominated by intercalated layers of peat and inorganic sediments, mostly silt and clay, with little or no sand. Sand- and shell-rich clastic layers with high levels of sulfur, calcium, and strontium only occur adjacent to the relict beach ridge remnants near the center of the lagoon. With the exception of one thin fine sand layer, the absence of sand in the near-shore cores and the predominance of the terrigenous element titanium in the inorganic layers, evidently eroded from the surrounding hillslopes, suggests that these large-grained intervals do not represent episodic marine incursions, but rather were likely formed by the erosion and redeposition of older marine deposits derived from the beach ridge remnants when water levels were high. These results do not support the occurrence of a large tsunami event at Laguna Mitla during the Late Holocene.
Structures of Fault Gouges Reveal Repeated Seismic Events
<p><strong>Table 1: </strong>Grain size distribution in different structural layers</p><p><strong>Table 2: </strong>Aspect ration of particles in different structural layers</p><p><strong>Table 3: </strong>Element content of pseudotachylytes in different structural layers</p><p> </p>
Travel times of wide-angle seismic refraction profile OBS2020-1 at the northern continental margin of South China Sea
<p>The dataset contains travel times (including the primary and secondary phases) of the OBS2020-1 profile with 11 OBS stations at the northern continental margin of SCS.</p>
cigFacies: a massive-scale benchmark dataset of seismic facies and its application
<p>cigFacies is a dataset create by the <a href="https://cig.ustc.edu.cn/main.htm">Computational Interpretation Group (CIG)</a> for the AI-based automatic seismic facies classification in 3-D seismic data, <a href="https://cig.ustc.edu.cn/hui/list.htm">Hui Gao</a>, <a href="https://cig.ustc.edu.cn/xinming/list.htm">Xinming Wu</a>, <a href="http://cig.ustc.edu.cn/xiaoming/list.htm">Xiaoming Sun</a> and Mingcai Hou are the main contributors to the dataset.</p> <p>This is the benchmark skeletonization datasets of seismic facies, guided by the knowledge graph of seismic facies and constructed from three different stategies (field seismic data, synthetic data and GAN-based generation).</p> <p>Below are some brief desription of the datasets:</p> <p>1) The "The benchmark skeletonization datasets" file consists of 5 classes of seismic facies.</p> <p>2) The "parallel_class", "clinoform_class", "fill_class", "hummocky_class" and "chaotic_class" consist of 2000, 1500, 1500, 1500, 1500 stratigraphic skeletonization data constructed from field seismic data, synthetic data and GAN-based generation, respectively.</p> <div> <div> <div> <p>The source codes for constructing the benchmark dataset of seismic facies and deep learning for seismic facies classification have been uploaded to Github and are freely available at <a href="https://github.com/huigcig/cigFaciesNet">cigFaciesNet</a>.</p> </div> </div> </div> <p> </p> <p> </p>
Digital Appendix: The Size Distributions of Faults and Earthquakes: Implications for Orogen-Internal Seismic Deformation [Dataset]
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Seismic data for 'Hu et al., The productivity of induced seismicity is controlled by injection fluid volume and preexisting faults in the southern Sichuan basin'
<p>Datasets presented in Hu's manuscript entitled 'The productivity of induced seismicity is controlled by injection fluid volume and preexisting faults in the southern Sichuan basin'</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.