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562 results for “Faults”
MASTER: Geological fault mapping, California-Nevada, October, 2003
This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during six flights aboard a DOE B-200 aircraft over California and Nevada, U.S., on 2003-10-05 to 2003-10-12. An objective of this deployment was geological fault mapping. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 10-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
Catalogs and stress history for "stress dependent b value variations in a heterogeneous rate-and-state fault model"
<p>Catalogs of synthetic seismicity and stress history used in the manuscrit "stress dependent b value variations in a heterogeneous rate-and-state fault model".</p>
Fault geometry and slip distribution of the 2013 Mw 7.7 Balochistan earthquake from non-linear and linear inversions of SAR and optical data
<p>This archive contains data related to the paper “Fault geometry and slip distribution of the 2013 Mw 7.7 Balochistan earthquake from non-linear and linear inversions of SAR and optical data” by Benjamin Lauer, Raphael Grandin and Yann Klinger.</p>
Pallatanga Fault System Maps and Pictures
<p>Those folders include Strip Maps and associated shapefile of fault lines of the Pallatanga fault, together with a catalogue of pictures of faulting or other field evidences gathered during various surveys (2009 to 2016). These are a Supplementary information to the paper named "Active tectonics and earthquake geology along the Pallatanga Fault, Central Andes of Ecuador", by "Stéphane Baize, Laurence Audin, Alexandra Alvarado, Hervé Jomard, Mathilde Bablon, Johann Champenois, Pedro Espin, Pablo Samaniego, Xavier Quidelleur, Jean-Luc Le Pennec" and submitted to Frontiers in Earth Science, Special Issue "Unveiling Active Faults: Multiscale Perspectives and Alternative Approaches Addressing the Seismic Hazard Challenge by Topic Editors Federica Ferrarini, Ramon Arrowsmith, Michele M. C. Carafa, Nathan Toke.</p>
Input parameters, output data, and script to calculate strain and velocity from fault source parameters
<p>This archive contains two data tables, one script, and one dataset to accompany the paper:</p> <p><strong>Strain and velocity across the Great Basin derived from 15-ka fault slip rates: Implications for continuous deformation and seismic hazard in the Walker Lane</strong></p> <p><em>Nadine G. Reitman<sup>1 </sup> and Peter Molnar<sup>1,2</sup></em></p> <p><sup>1</sup>Department of Geological Sciences, University of Colorado Boulder</p> <p><sup>2</sup>Cooperative Institute for Research in Environmental Science (CIRES), University of Colorado Boulder</p> <p> </p> <p>The data tables contain the input source fault parameters (fault strike, dip, rake, length, location, and slip rate) and the contribution to strain calculated for each fault relative to 317 degrees using the associated script. The script uses the methods of Kostrov (1974) and Haines (1982) to calculate strain and velocity across the Great Basin using slip rates reported in the USGS National Seismic Hazard Map (2020 update of the 2014 data, Petersen et al, 2014) and Pérouse & Wernicke (2017). The script is written in Python3 and requires the user to have some knowledge of how to run Python code. The included dataset (hazfaults_clean.p) contains the data to run the script for the USGS fault sources. </p> <p>Please contact nadine.reitman@colorado.edu with questions.</p>
Sintered fault rock from the Taiwan Chelungpu fault
<p>Law data of TEM, XRD, TG-DSC, and chemical kinetic analyses</p>
Earthquake Data around the Palu-Koro fault
<p>The earthquake data was used to simulate the stress change around the Palu-Koro fault in my paper submitted to GRL.</p>
Dataset for "Deep ductile shear localization facilitates near-orthogonal strike-slip faulting in a thin brittle lithosphere"
<p>This archive contains the simulation scripts, data to reproduce key figures in the main text of the submitted paper "Deep ductile shear localization facilitates near-orthogonal strike-slip faulting in a thin brittle lithosphere".</p> <p>Scripts: contains the python scripts used to write the input files for CIMLIB code, meshes, job submission scripts using OAR, scripts for post-processing the .vtu files to extract shear band angles.</p> <p>keyFigures: contains the .vtr files and state files to generate Paraview visualization of 3D shear band structure, numpy .npz data files, and IPython scripts to reproduce Fig 2, 3, 4 in the submitted paper.</p>
Temperature and fluid pressurization effects on frictional stability of shale faults reactivated by hydraulic fracturing in the Changning Block, Southwest China
<p class="Affiliation"><span>A shale fault reactivated during multi-stage hydraulic fracturing in the Changning block in the Sichuan Basin, southwest China accompanied a cluster of small earthquakes with the largest reaching<span> </span></span><em>M<sub>L</sub></em><span><span> </span>~0.8. We illuminate the underlying mechanisms of fault reactivation through measurements of frictional properties on simulated fault gouge under hydrothermal conditions. Velocity-stepping experiments were performed at a confining pressure of 60<span> </span></span><em>MPa</em><span>, temperatures from 30 to 300<span> </span></span><em>℃</em><span>, pore fluid pressures from 10 to 55<span> </span></span><em>MPa</em><span><span> </span>and shear velocities between 0.122 and 1.22<span> </span></span><em>μm/s</em><span>. Results show that the gouge is frictionally strong with coefficient of friction of 0.6-0.7 across all experimental conditions. At observed<span> </span></span><em>in-situ</em><span><span> </span>pore fluid pressure (30<span> </span></span><em>MPa</em><span>), the slip stability response is characterized by velocity strengthening at temperatures of 30-200<span> </span></span><em>℃</em><span><span> </span>and velocity weakening at temperatures of 250-300<span> </span></span><em>℃</em><span>. Increasing the pore fluid pressure can increase values of (</span><em>a – b</em><span>) at temperatures ≥ 200<span> </span></span><em>℃</em><span>, narrowing the temperature range where velocity weakening occurs. At the<span> </span></span><em>in-situ</em><span><span> </span>temperature (90</span><em>℃</em><span>), the simulated gouge shows only velocity strengthening behavior and aseismic slip at elevated pore fluid pressures, contrary to the observed seismicity. We postulate that the aseismic slip at elevated pore fluid pressures may trigger seismicity by activating adjacent earthquake-prone faults.</span></p>
Data for "Shear zone development in serpentinised mantle: Implications for the strength of oceanic transform faults"
<p>Data (structural data used in serpentinite shear zone maps, Raman point analysis data, and EDS point analysis for oxide weight percents) used in the paper "Shear zone development in serpentinised mantle: Implications for the strength of oceanic transform faults"</p>
Probing fault frictional properties during afterslip up- and downdip of the 2017 Mw 7.3 Sarpol-e Zahab earthquake with space geodesy
<p>This zip file contains measurements of postseismic surface deformation due to the 2017 Mw 7.3 Sarpol-e Zahab earthquake derived from Sentinel-1 SAR data over a time period of one year after the mainshock. The line-of-sight (LOS) displacements of each satellite track are provided in high-resolution NetCDF file format.</p> <p># data format: NetCDF grid file</p> <p>dlos_yyyymmdd.grd ---- cumulative LOS displacement since the first postseismic acquisition of each track (unit: meters); <br> dates.dat ----- dates of the SAR image acquisitions of each track (ASCII file)<br> look_e/n/u.grd --- East, North, Vertical (Up) components of the line-of-sight direction, so that<br> <br> dlos_displacement = dUe*look_e + dUn*look_n + dUup*look_u</p> <p>where dUe, dUn, and dUup represent the Eastward, Northward, and Upward surface motion.</p> <p>Contact: Kang Wang (kjellywang@gmail.com or kwang@seismo.berkeley.edu)</p> <p>References:</p> <p>Wang, K and R. Bürgmann (2020), Probing fault frictional properties during afterslip up- and downdip of the 2017 Mw 7.3 Sarpol-e Zahab earthquake with space geodesy, Journal of Geophysical Research: Solid Earth<br> </p>
The CONTEXT Dataset containing Contextual Faults of a Smart Factory
<p>Here you download the CONTEXT Dataset containing Contextual Faults of a Smart Factory. Our work as part of the Proceedings of the International Conference on Industry 4.0 and Smart Manufacturing is now published in Procedia Computer Science (Elsevier). <strong>If you refer to or use this dataset, cite this publication:</strong></p> <p><strong>Kaupp, Lukas; Webert, Heiko; Nazemi, Kawa; Humm, Bernhard; Simons, Stephan (2021): CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory. In: Procedia Computer Science 180, S. 492–501. DOI: 10.1016/j.procs.2021.01.265. </strong></p> <p>The dataset contains contextual faults recorded in the smart factory of the Darmstadt University of Applied Sciences. Each recording (CSV format) consists of an OPC-UA log file and log files of the corresponding machinery measured by our developed sensing units. Foldernames reflect experiment structure.</p> <p><date>-<run>_<count of build relays>_<g(ood/ok)/n(ot/failure)>_<experiment name></p> <p>You can find a detailed description of the experiments in our publication.</p> <p><strong>Description Update for a better data assessment.</strong></p> <p>OPC-UA Hierarchy - Factory Mapping:</p> <ul> <li>'Station10' - Management Station (send production instructions / receive production updates)[not physically involved in the production process]</li> <li>'Station 40 - Hochregallager' - High-Bay Storage Station</li> <li>'Station 50 - Roboter' - Robot Station</li> <li>'Station 60 - Presse' - Press Station</li> <li>'St20 SoftSPS' - Optical & Weight Inspection Station</li> <li>'Station30elPruefung' - Electrical Inspection Station</li> </ul>
Crustal thinning in the eastern Betics reveals slab edge-transfer fault margin evolution: insights from tectonic and sedimentary evolution
<p>Images and dataset of our structural analysis of the Tabernas basin in the eastern Betics. </p>
The joint inversion results of the receiver functions and apparent S-wave velocities in the central-southern segment of Tanlu fault zone
<p>The folder contains: README, Discontinuities.txt and Velocity_model.</p> <p>README:<br>Description of the data file</p> <p>Discontinuities.txt:<br>This text file contains data related to discontinuities, with the meaning of each column listed in the first row of the file.</p> <p>Velocity_model:<br>This folder contains text files named station names, each representing the inverted velocity model for the corresponding station. The first line of each text file indicates the latitude and longitude of the station. From the second line to the last line, the velocity model is represented as follows: the first column indicates depth, the second column represents Vs (shear wave velocity), the third column indicates the error of Vs, the fourth column represents Vp, and the fifth column indicates the ratio Vp/Vs.</p>
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>
Digital Appendix: The Size Distributions of Faults and Earthquakes: Implications for Orogen-Internal Seismic Deformation [Dataset]
Open the record for dataset details and reuse information.
Growth - related formation mechanism of I3 - type basal stacking fault in epitaxially grown hexagonal Ge - 2H
<p>The hexagonal-2H crystal phase of Ge recently emerged as a promising direct bandgap semiconductor in the mid-infrared range providing new prospects of additional optoelectronic functionalities of group-IV semiconductors (Ge and SiGe). The controlled synthesis of such hexagonal(2H)Gephaseis a challenge that can be overcome by usingwurtziteGaAsnanowires as a template. However, depending on growth conditions, unusual basal stacking faults (BSFs) of I3-type are formed in themetastable2H structure. The growth of such core/shell heterostructures has been observed in situ and in real-time by means of environmental transmission electron microscopy using chemical vapor deposition. The observations provide direct evidence of a step-flow growth of the Ge-2H epi layer and reveal the growth-related formation of I3-BSF during unstable growth. Their formation conditions are dynamically investigated. Through these in situ observations we can propose a scenario for the nucleation of I3-type BSFs that is likely valid for any metastable hexagonal 2H or wurtzite structures grown on m-plane substrates. Conditions are identified to avoid their formation for the perfect crystalline synthesis of SiGe-2H.</p> <p>This dataset contains all the original scanning and transmission electron microscopy images and videos, and the atomic models that our results and understanding of the I3 defects are based on.</p>
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>
Nucleation process of laboratory earthquakes on a submeter fault under different normal stresses
<p>We conducted friction experiments on a 669 mm long granodiorite simulated fault to study the detailed spatiotemporal evolutions of nucleation zones (characterized by the strain-releasing zones) of stick-slip events under four different normal stresses via a dense array of strain rosettes (with spacing of 21 mm between the adjacent rosettes and offset distance of 8 mm from the fault). Cumulative shear strain relative to the strain at 1 s prior to the stick-slip instability is calculated for each strain rosette. By doing this, the strain-releasing zone can be detected in the spatiotemporal evolution of the cumulative shear strain. We present a typical pattern of the nucleation process under each normal stress. Under the normal stresses of 7.5 and 10 MPa, a quasi-static expanding nucleation zone initiates at <em>x </em>~ -80 mm and expands slowly and then shrinks to a critical length (referred to as the contraction nucleation length, <em>L<sub>s</sub></em>) before it merges into a subsequently accelerated expanding nucleation zone. The accelerated expanding nucleation zone initiates in the middle of the fault (<em>x </em>~ 0) near the outer edge of the quasi-static expanding nucleation zone, which first expands bilaterally at a speed of the order of m/s and then gradually accelerates towards the fault ends. When the length of the accelerated nucleation zone expands to another critical length (referred to as the ultimate nucleation length, <em>L<sub>c</sub></em>), the dynamic rupture initiates (<em>t</em> = 0). Under normal stresses of 2.5 and 5.0 MPa, the similar accelerated expanding nucleation zone is also detected but the quasi-static expanding nucleation zone is unobservable. Moreover, <em>L<sub>s</sub></em> increases but <em>L<sub>c</sub></em> decreases with increasing normal stress.</p>
A new Insight into the Sources of the 1733DC-M7.8 Earthquake on the Xiaojiang Fault zone, southeastern Tibet
<p>The observed near-fault GPS data of northern Xiaojiang fault.</p>
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