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562 results for “Faults”
Data used in the paper entitled: "Hidden faults: the Late Pleistocene transpression of the Königssee–Lammertal–Traunsee Fault inferred from caves deformation (Eastern Alps)"
<p><strong>Manuscript Abstract: </strong>The Eastern Alps have undergone lateral extrusion since the late Oligocene, with major crustal-scale strike-slip faults still active, as evidenced by earthquakes up to M6, despite scant geological record. Research has focused more on the Salzach-Ennstal-Mariazell-Puchberg (SEMP) and Mur-Mürz faults, leaving the central part of the Northern Calcareous Alps cut by the 110 km long Königssee–Lammertal–Traunsee (KLT) fault system under-studied. We took advantage of a cave environment isolated from erosion, providing unparalleled structural indicators exposure to fill the Pleistocene deformation history gap of the KLT. We reconstruct paleostress for 26 reverse, strike-slip, and oblique reactivated faults that offset passages in seven caves close to sinistral KLT and dextral Lammertal faults. <sup>230</sup>Th/U dating of faulted and broken speleothems revealed two reactivation events since the Middle Pleistocene. The older event dates can be constrained to 331 (+89/-54) to 287 ± 6 ka, or 297-281 ka if the KLT and Lammertal faults were reactivated simultaneously. The younger event occurred between 130 and 90 ka, aligning with fault reactivations in the eastern Alps.</p> <p>Cave observations allowed us to analyze reverse faults in the positive flower structure of the KLT and mode I fracture with minor antithetic dextral slip, suggesting a sinistral component of regional rejuvenation. Our findings indicate that the KLT was reactivated due to simple shear with NNE compression. Along the Lammertal fault, we recorded a strike-slip regime driven by NNW compression. The KLT and Lammertal faults form a system of conjugated shears that efficiently accommodate N-S shortening compared to the SEMP fault, which is perpendicular to the compression. Combining our neotectonic data with current seismicity shows that the KLT plays a key role in the Quaternary extrusion process in the studied Alpine sector, surpassing the more prominent SEMP fault.</p> <p><strong>In this dataset, we make available:</strong></p> <p>iPhone13Pro LiDAR scan of the two cave passage offsets: one in the Dependance cave and Gamssteig cave</p> <p>PDF file with dated sample location and description</p> <p> </p> <p>Published in:</p> <p><strong>Szczygieł, J., Plan, L., Hellstrom, J., & Grasemann, B. (2024). Hidden Faults : The Late Pleistocene Transpression of the Königs- see – Lammertal – Traunsee Fault Inferred from Caves Deformation ( Eastern Alps ). Lithosphere, (Number Special 15), lithosphere_2024_177, 14. https://doi.org/10.2113/2024/lithosphere</strong></p> <p><strong>This research was founded by the NCN Polish National Science Center [grant No 2020/39/D/ST10/00615]</strong></p>
Compositional data for "Lancang fault assists block extrusion in southeastern Tibet during Early-Middle Miocene"
<p>Table S1 includes AHe, AFT, and ZHe data from the study area. Table S2 includes details of the inverted parameters and results in Pecube.</p>
Data for "The influence of fault geometrical complexity on surface rupture length"
<p>This repository contains the data generated in and some data from the FDHI database (Sarmiento et al., 2021) required to run the scripts used in our publication "The effect of fault geometrical complexity on surface rupture length".</p> <p> </p> <p>Table of contents:</p> <table> <tbody> <tr> <td>File/directory</td> <td>File type</td> <td>Notes</td> <td>References (if applicable)</td> </tr> <tr> <td>geometrical_complexity_shapefiles_v1.zip</td> <td>Shapefiles</td> <td> <p>Shapefiles for the breached and unbreached geometrical features in Rodriguez Padilla et al. 202X. The name of each file is the geometrical feature, followed by whether the feature is breached or unbreached, followed by the name of the event the feature was mapped from.</p> <p>Example: stepover_breached_Borrego.shp</p> <p>Note some shapefiles are empty because that feature type was not observed for a given event. </p> </td> <td> <p>Rodriguez Padilla et al. (202X)</p> <p>Sarmiento et al. (2021) <a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>Regional_maps.zip</td> <td>Shapefiles</td> <td>Shapefiles for each regional fault map (Qfaults for US, NZAFD for New Zealand, AFEAD for Asia and the Middle East, and GEM for remaining regions)</td> <td>USGS and CGS, Langridge et al. (2016), Bachmanov et al. (2021), Styron and Pagani (2020)</td> </tr> <tr> <td>event_rupture_shp.zip</td> <td>Shapefiles</td> <td>Shapefiles with the primary ruptures for each of the events as mapped in the FDHI database</td> <td> <p>Sarmiento et al. (2021) <a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>data_FDHI.xlsx</td> <td>Spreadhsheet</td> <td>Event information, including magnitude, date, displacement distribution, etc. from the FDHI database. The data that is compiled in the spreadsheet can be accessed from the appendices of the FDHI database.</td> <td> <p>Sarmiento et al. (2021)</p> <p><a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>reflines_FDHI.zip</td> <td>Shapefiles</td> <td> <p>ECS reference lines for each event from the FDHI database (Sarmiento et al., 2021) in shapefile format</p> </td> <td> <p>Sarmiento et al. (2021)</p> <p><a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>geometries.csv</td> <td>Spreadsheet</td> <td> <p>Feature geometries, including lengths, widths, angles, and other measured attributes, generated using the Matlab code measure_EQgates.m in Github repository <a href="https://github.com/absrp/passing_probabilities_EQgates">https://github.com/absrp/passing_probabilities_EQgates</a></p> <p>This csv file also serves as the input for the Jupyter Notebook for estimating passing probabilities and event likelihoods.</p> </td> <td>Rodriguez Padilla et al. (202X)</td> </tr> </tbody> </table> <p> </p>
The motor fault daignosis experiment dataset
<p>The motor fault daignosis experiment dataset.</p> <p><strong>Label,Logogram,Category</strong></p> <p>0,Normal, Healthy and normal</p> <p>1,SC2T,Short circuit of 2 turns</p> <p>2,SC4T,Short circuit of 4 turns</p> <p>3,SC8T,Short circuit of 4 turns</p> <p>4,AE,Air-gap eccentricity</p> <p>5,RBB,Rotor bar broken</p> <p>6,BCB,Bearing cage broken</p> <p>7,BAF,Bearing abrasion fault</p>
Data repository for Fault gouge failure induced by fluid injection: Hysteresis, creep, delay and shear-strengthening.
<p>Data for the manuscript "Fault gouge failure induced by fluid injection: Hysteresis, creep, delay and shear-strengthening". Data for each figure are provided in .xslx and MATLAB .m format and were generated by 'GrandFrix' software(see Related identifiers). Raw data from simulations using the 'GrandFrix' software, for a representative dry and wet cycle are provided in .zip format.</p>
Stochastic Finite-Fault Simulated Ground Motion Dataset for Tabriz Region in Iran
<p>A dataset of simulated ground motions for Tabriz region in Iran using stocahstic finite-fault simulation approach based on dynamic corner frequency.<br>The simulated earthquake events are for Mw 7.7, 7.4, 7.1, and 6.8 with focus on investigating the uncertainty in fault rupture plane and hypocenter location.<br>The ground motion time series along with a comprehensive flatfile are uploaded here.</p>
Data used in the manuscript entitled: The Curious Case of Short Fault Scarp in the Podhale Basin (Western Carpathians): implications for Late Pleistocene geodynamics
<p><strong>Manuscript Abstract: </strong>Areas with low deformation rates, such as continental interiors or mature orogens like the Western Carpathians, may represent significant seismic hazard zones, albeit still insufficiently recognized. Relatively low-magnitude earthquakes occurring in such regions pose challenges for paleoseismology, despite occasional documented surface fault ruptures. However, all these ruptures fit the empirical displacement-length scaling relationships. This study focuses on a scarp located in the Podhale Basin (Central Western Carpathians) that deviates from these empirical laws. Despite its relatively short length of only 3 km, the scarp, measuring up to 8 m in height, presents several indications of its tectonic origin. Geophysical GPR and ERT surveys revealed a vertical discontinuity directly beneath the scarp. We identified distinct features interpreted as a fault zone in a trench across the scarp. Lacking material suitable for dating, we estimated the age of the fault scarp at 26.3 ± 14.5 ka using simple linear diffusion modeling. However, this result requires caution due to assumptions like scarp formation from a single event. Yet, the consistency of the estimated age with the superposition of the scarp relative to the morphology and weathered covers from the last glaciation is noteworthy. Furthermore, morphological and geological mapping suggests the dextral oblique kinematics of the studied fault. The prevailing trend of NE (NNE) compression across the Podhale and Orava basins and the Tatra Mountains aligns the dextral Brzegi fault with the broader Alpine-Carpathian geodynamic framework. The Brzegi fault, as part of the broader Białka fault zone, provides evidence of far-field effects, serving as an NNW-striking dextral antithetic fault to major sinistral NE-SW striking faults. The recognized pattern indicates the continued post-Miocene Alpine extrusion toward the Carpathians. </p> <p><strong>In this dataset, we make available:</strong></p> <p>iPhone13Pro LiDAR scan of the trench (texture_output)</p> <p>high-resolution orthophotomosaic (Brzegi_trench.tif)</p> <p>PDF file with methods and results of simple linear scarp diffusion modeling</p> <p>PDF file with methods and all geophysical profiles surveyed with electrical resistivity tomography (ERT), induced polarization tomography (IP), and ground-penetrating radar (GPR) </p> <p> </p>
High-resolution lithospheric shear velocity structure of the Suqian segment of the Tanlu fault zone from ambient noise tomography
<p>Our dataset includes S-wave velocity tomography model of of the Suqian segment of the Tanlu fault zone.</p>
Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
<p>Here we provide some example videos of safety violations of Apollo caused by sensor faults</p>
Svalbox-DOM_2016-0002_Konusdalen-Faults
<p><strong>Model description: </strong><br> Ground-based model of faults in Konusdalen<br> <br> <strong>Data availability:</strong><br> The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on <a href="http://svalbox.no/?page_id=3539">Svalbox.no</a>:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.</p>
Experiments of submarine canyon-fan systems in fault-controlled margins
<p>Six experiments of submarine canyon-fan systems in fault-controlled margins.</p>
Analyzing the Impact of Elusive Faults on Blockchain Reliability – Supplemental Material
<p>Supplemental Material for the paper - Analyzing the Impact of Elusive Faults on Blockchain Reliability</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>
The surface coordinates of the Zemuhe fault and the surface dislocations of the 1850 Xichang earthquake
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5c.</p>
Relocation of the 8 January 2022 Menyuan (Ms 6.9), China, earthquake sequence: A conjugated type of rupturing event with a seismic gap in the Haiyuan fault in northeast Tibet
<p>This file is the relocated data of the 2022 Menyuan Ms 6.9 and 2016 Menyuan Ms 6.4 earthquake using Double-difference algorithm. It is only used for scientific research.</p>
Temperature and fluid pressurization effects on frictional stability of shale faults reactivated by hydraulic fracturing in the Changning Block, Southwest China
Open the record for dataset details and reuse information.
Earthquake Data around the Palu-Koro fault
<p>This earthquake data is used in my paper about stress on the Palu-Koro fault.</p>
Present-day crustal movement and seismic moment balance on major active faults around the easternmost segment of the Kunlun fault, Tibetan Plateau, China
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Data of resulting velocity and anisotropic models, and Moho depth of the Tanlu fault zone
<p>Data of resulting velocity and anisotropic models, and travel-times for essay of Tanlu Pn tomography. These data can only be used for scientific research purposes.</p><p>1. ani_vel_model.txt </p><p> Format: longitude, latitude, vel_value (km/s), ani_value (km/s), azimuth_anisotropy (degree)</p><p>2. handpicked_travel_time.txt </p><p> Format: event_number, event_year, event_month, event_day, event_hour, event_minute, event_second (s), event_lat, event_lon, event_depth (km), event_magnitude, sta_count (for one event)</p><p> sta_name1, sta_lat1 (degree), sta_lon1 (degree), sta_elevation1 (m), travel_time1 (s)</p><p> sta_name2, sta_lat2 (degree), sta_lon2 (degree), sta_elevation2 (m), travel_time2 (s)</p><p> ...</p>
Paradox Basin - USGE EQs catalog and Faults properties for FSP analysis
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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
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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
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.