Find research datasets worth reusing

opencc-by-4.0Sep 2024View details →

Supplementary Movie for the Paper "The 2021 and 2022 North Coast California earthquake sequences and fault complexity in the vicinity of the Mendocino Triple Junction"

Supplementary Movie for the Paper  The 2021 and 2022 North Coast California earthquake sequences and fault complexity in the vicinity of the Mendocino Triple Junction  by Margaret Hellweg, Douglas S. Dreger, Anthony Lomax, Robert C. McPherson and Lori Dengler Accepted for publication in Bulletin of the Seismological Society of America DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">TODO</a> Movie S1. Animation of the seismicity in the region of the Mendocino Triple Junction from 1982 - 2023 relocated using  NLL-SSST-coherence. See Figure 1 caption in main paper for more details.

opencc-by-4.0Sep 2024View details →

Experimental data used in the article entitled "Engineering an ultra-fine grained microstructure, twins and stacking faults in PBF-LB/M Al-Si alloy via KoBo extrusion method"

Dataset include EBSD results: KOB;O.ang and LPBF_condition.ang Tensile test results: KOBO-processed sample: KOBO.xls LPBF sample: SLM.xls

opencc-by-4.0Sep 2024View details →

Fracture Caging in a Porous Lab Fault: Experiment Dataset (sensor coordinates added)

Update: Sensor coordinates and make that were missing from the previous version were added.  We conducted shear fracture caging experiments at the Fractured Earth Laboratory to investigate the potential of fracture caging in limiting induced seismicity in the fault. The experiments involved an injection of fluid into a repeatably constructed assembly of two aluminum wedges bonded by plaster, which is critically loaded for shear-slip. Meanwhile, fluid production is enabled using a five-spot pattern of pre-drilled boundary wells (i.e., a fracture cage). Injected fluid was a gear oil with 8.81 cP viscosity at room temperature . Syringe pumps were used to control and measure the injection rate, volume, and pressure. Microseismic activity was recorded using 16 acoustic emission (AE) sensors that were equally split into high-magnitude and high-sensitivity acquisition systems. Over the course of experiments, raw data collected includes AE waveforms from high-magnitude and high-sensitivity systems, post-mortem shear fracture photos, and synchronized timeseries data for 8 tests, which are presented here.

A dataset of InSAR deformation and faulting model of the Main Recent Fault

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →

Supplementary Material for the paper entitled "Identifying Difficult Environmental Conditions with Scenario-based Hazard and Fault Analysis"

This dataset is a supplementary material for the paper entitled "Identifying Difficult Environmental Conditions with Scenario-based Hazard and Fault Analysis", accepted by SafeComp Workshop SASSUR 2024. The file will be uploaded after a publication process is accomplished. Update: list of triggering conditions is uploaded on 14.10.2024

The 2021-2022 Fukushima-Oki Earthquakes in Northeastern Japan: Dehydration Triggered Fault Reactivation Boosted by Slab Segmentation

codes.rar: codes of double-difference seismic tomography catalog.dat: earthquake phase catalog used in the DD tomography station.dat: station coordinates of the seismic network  MOD: grids in the initial Vp and Vp/Vs models Vp_model.dat: inverted 3-D Vp model Vs_model.dat: inverted 3-D Vs model VpVs_model.dat: inverted 3-D Vp/Vs model earthquake.reloc: relocations of the earthquakes

Fault Traces Dataset for Zou and Fialko Earth and Space Sciences Manuscript

The 'xx_fault.dat' contains the linked fault traces of different regions (nz: Northern New Zealand; nv: Basin and Range Province; ca: Ventura County, California; np: Pennsylvania and Northern New Jersey); The 1st and 2nd columns are UTM coordinates; The 3rd column is the random number assigned for distinguishing each fault traces. The 'xx_len.dat' contains the length of each fault trace in the corresponding regions, in km. The other '.dat' files and the 'SunData.xls' contain the length of fractures from outcrop and lab data. All of them are frequency distribution, except the 'LaHouve_Villemin.dat' which is already in cumulative distribution. The unit of 'SunData.xls' is mm; for the two 'Bahat' datasets is cm; for the rest of the outcrop data is m. The .m files are the codes for calculating cumulative length distribution, frequency density distribution, and fault connection.     For any questions please contact Xiaoyu Zou via x3zou@ucsd.edu

Hydro-mechanical simulation of CO2 Injection into a faulted aquifer

<h2>Summary</h2> This dataset contains the results of geomechanical simulations conducted on a faulted aquifer under conditions of CO2 injection. The primary focus of the simulations is the pressure evolution within the rock matrix and along the fault, as well as the associated changes in the mechanical state, including rock deformation and fault slip. Additionally, the simulations explore the sensitivity of fault stability under varying orientations of far-field stress. The dataset includes raw data in VTK format, as well as an illustrative Jupyter notebook that provides a comprehensive explanation of the problem's geometry, boundary and initial conditions, and an interpretation of the observed physical phenomena. The Jupyter notebook is designed to be run both online and locally. These simulations were performed using an open-source FEM-based geomechanical simulator. Detailed instructions for running the notebook, along with a link to the geomechanical simulator, are provided in the description below. <h2>Contributions</h2> <ul> <li>Emil Gallyamov did contribute to the production of the dataset and its visualisation.</li> <li>Ismaël Gomes did contribute to the development of the visualisation interface through Jupyter Notebooks and Streamlit.</li> <li>Guillaume Anciaux did contribute to the development of the visualisation interface and data curation.</li> </ul> <h2>Data collection: period and details</h2> <ul> <li>From 20 April, 2024 to 30 August, 2024, the .pvt and .npy files were generated, curated, and visualisation routines were developed.</li> </ul> <h2>Funding sources</h2> <ul> <li>ENAC Interdisciplinary Cluster Grant project <a href="https://www.epfl.ch/schools/enac/osgeocgs/">OSGEOCGS</a>.</li> </ul> <h2>Notebook demonstration</h2> <h3>Online</h3> An interactive notebook showcasing visualisations of the dataset is available on <a href="https://renkulab.io/projects/phamba/geology-data-visualization/sessions/new?autostart=1">RenkuLab</a>. <h3>Running locally</h3> Alternatively, you can launch the notebook on your computer. Download the dataset, install dependencies, and launch Jupyter notebook: <code>pip install -r requirements_freeze.txt</code> <code>jupyter notebook</code> Then, open <code>notebooks/DataVisualisation.ipynb</code>. <h2>Reproducing the dataset</h2> To recreate the results found in this dataset, install the <a href="https://archive.softwareheritage.org/browse/origin/directory/?origin_url=https://gitlab.com/emil.gallyamov/akantu-geomechanical-solver">solver</a> and go through the example at <a href="https://archive.softwareheritage.org/browse/origin/directory/?origin_url=https://gitlab.com/emil.gallyamov/akantu-geomechanical-solver&path=examples/injection_fault"><code>examples/injection_fault</code></a>. <h2>Data structure and information</h2> The repository has the following structure: <ul> <li>data: simulation results <ul> <li>reservoir_vs_time: bulk, solid, cohesive and fault fields for the duration of the simulation <ul> <li>paraview: vtk files</li> <li>*.npy: numpy arrays to store numerical data at specified locations</li> </ul> </li> <li>fault_vs_angle: only cohesive fields for 180 degrees of rotation <ul> <li>cohesive_0*.vtu: vtu files containing absolute values of the fields</li> <li>cohesive_init_0*.vtu: all the fields in these files are frozen to the initial (at rest) system state</li> <li>cohesive_parsed.pvd</li> <li>cohesive_init_parsed.pvd: postprocessing of Ismaël is substracting one set of data from the other one and plots the difference - increase of slip</li> </ul> </li> </ul> </li> <li>notebooks: data visualisation through Jupyter Notebooks <ul> <li>images: images used for illustration in notebooks (e.g. schema of stress rotation, model geometry, etc.) <ul> <li>stress_rotation: contains images with scheme of rotation for angles from 0 to 180</li> </ul> </li> <li>DataVisualisation.ipynb: main notebook with visualized DataVisualisation</li> </ul> </li> <li>library: all the scripts needed to visualize DataVisualisation</li> </ul>

opencc-by-4.0Jun 2024View details →

Impact of Upper-Plate Faulting on Megathrust Foreshocks: Insights from the 2014 Iquique Earthquake

Data set from the work: Impact of Upper-Plate Faulting on Megathrust Foreshocks: Insights from the 2014 Iquique Earthquake. DOI: input_files.tar.gz contains all the files (params, mesh, fault geomtry) necessary to run the python codes that will create the in.param files to be run using UniCyclE. in-param-files.tar.gz contains the in.param, rfaults.flt.2d, volume.ned, volume.trv. All these files will be used to run UniCyclE for each mnodel. vel_SAM.dat are the coseismic displacement of the continuous GPS stations that captured the Mw8.1 2014 Iquique earthquake, relative to South America. 20_temp.csv is the temperature model used to compute the thermally activated viscoelastic behavior in the continental and oceanic mantle using a power creep law.  the grl_codes.zip contains all the data and a jupyter notebook to process the results from the model in the same way as it is done in the paper in Figure 3.

dryad36/100

Searching for deep-seated thrust faults on the moon

The lunar maria are large expanses of basalt that infill antecedent impact basins and show evidence for post-emplacement deformation. Landforms within many of these basins suggest a period of compressive tectonics, although the mechanism for their formation remains an open question. Previous work for Mare Crisium demonstrated that basin-circumferential wrinkle ridges, which typically demarcate the inner edge of an annulus of elevated terrain, are the result of deep-seated thrust faults that preferentially form along the boundary of an elevated, superisostatic portion of mantle and a thick, subisostatic collar of crustal material. Here, we show that a similar fault architecture exists for several other mascon-bearing basins, including Maria Serenititis, Nectaris, Moscoviense, and, to a lesser degree, Humorum and Imbrium. These deeply penetrating basin-circumferential thrust faults, as for Mare Crisium, form a (partial) outward-dipping ring-fault system that bounds the elevated mantle plug beneath each basin as a geometric consequence of mascon evolution. If this geometric arrangement is unique to the Moon, then some characteristic(s) of lunar mascon evolution enables the formation of such mascon-bounding faults. Despite the ubiquitous nature of mascon-bound thrust ring faults at several lunar basins, the prevalence of such structures at mascon basins on other terrestrial worlds remains an open question.

opencc-zeroJul 2021View details →

Data for "Fault interactions enhance high-frequency earthquake radiation"

This dataset includes all results (in pandas dataframe pickle format) from the data from the paper, "Fault interactions enhance high-frequency earthquake radiation" by S. X. Chu, V. C. Tsai, D. T. Trugman, and G. Hirth. It also contains a python notebook showing how to read the dataset, as well as sample functions to calculate misalignment and density ratios as described in that paper.

DatasetS1 Muztagh and Tahman fault WorldView-2 DEM

The 1-m resolution WorldView-2 digital elevation model (DEM) covering the Muztagh Ata and Tahman faults.

Spatial slip rate distribution along the SE Xianshuihe fault, eastern Tibet, and earthquake hazard assessment

Table 2: 10Be surface-exposure ages of Zheduotang (ZDT) and Moxi (MX) sites of the SE Xianshuihe fault.

HDF files for the time-dependent inversion of the 2016 moderate earthquakes along Chaman fault

We use GAMMA software to process Sentinel-1 SLC data and generate InSAR data. After converting the data into UTM coordinates, we use LiCSBAS to perform the time-series analysis, and the resulting HDF files are imported to MATLAB to perform the time-dependent inversion. MATLAB source codes are available. Original Sentinel-1 SLC data are available from https://scihub.copernicus.eu/dhus.

Fault test cases for series compensated transmission line with capacitor at line terminal

This data set contains time series data of different simulated fault cases in high voltage series compensated transmission lines. The simulation is done in PSCAD using the Python automation library. The capacitor is located at one of the line terminals with CT and VT. The modelled line is 500 kV and 200 km long. The simulation is run for 1 second with 10 kHz sampling rate.  Each file contains 7 data in the following order,  <ol> <li>Time</li> <li>Voltage phase A</li> <li>Voltage phase B</li> <li>Voltage phase C</li> <li>Current phase A</li> <li>Current phase B</li> <li>Current phase C</li> </ol> The variables used to study different test cases are shown below, <ul> <li>Fault inception angle (phase A): 0 and 90 degree</li> <li>Source impedance ratio: 0.20 and 0.35</li> <li>Capacitor level: 94 µF(50%), 78 µF(60%), 67 µF(70%)</li> <li>Fault resistance: 0.10, 10, 20, 30 ohm</li> <li>Fault location: 10 km reverse, 10 km, 50 km, 100 km, 125 km, 150 km, 155 km, 160 km. 165 km, 170 km, 180 km, 190 km</li> <li>Fault type: No-fault, AG, BG, CG, ABG, CAG, BCG, ABCG, AB, CA, BC, ABC</li> </ul> All these factors lead to 6912 test cases in total. The test cases are organized in four (4) zipped folders each containing 1728 test cases. The PSCAD model file and an example python script that can be used to automate the simulations are also included herewith for anyone interested to replicate the results.  The name of the folder contains the information regarding fault inception angle and source impedance ratio for all test cases inside that folder, for example, the folder name Outputs_0_0.20 can be decoded as, 0: Fault inception angle (phase A) 0.20: Source impedance ration The files names inside the folders include information about the other variables used in generating the test case. For example, the name test_f_10_0_67_0.01 can be interpreted as, test_f: f for forward fault, r for reverse fault 10: fault location, 10 km 0: Fault type 67: Compensation level 0.01: Fault resistance Fault types are interpreted as in PSCAD. 0 = No-Fault, 1 = Phase A to Ground 2 = Phase B to Ground 3 = Phase C to Ground 4 = Phase AB to Ground 5 = Phase AC to Ground 6 = Phase BC to Ground 7 = Phase ABC to Ground 8 = Phase AB 9 = Phase AC 10 = Phase BC 11 = Phase ABC The different line parameters used in the PSCAD model is as below, Conductor Type: Chukar Geometric mean radius: 20.345 mm DC resistance: 0.0318Ω/km Strands: 84 Strand radius: 1.8491 mm Relative permeability: 1.0 Sag: 12 m Height: 22 m Sub-conductor: 2 Sub-conductor spacing: 0.4572 m Ground wire number: 2 Radius: 5.5245 mm DC resistance: 2.8645Ω/km Relative permeability: 1.0 Sag: 10 m Height: 10 m Impedance Positive sequence0.018 +j0.339 Ω/km Zero sequence0.266 +j1.017 Ω/km   These simulations were run for assessing time-domain protections. Therefore, the parallel CB protection across the series capacitor is disabled, as one can safely assume even with the highest current levels, the CB will take at least 20 ms to operate. This is higher than the time limits for time-domain protection.

opencc-by-4.0Dec 2021View details →

Block Tectonics across Western Tibet and Multi-Millennial Recurrence of Great Earthquakes on the Karakax Fault

Table 1: Analytical results of 10Be and 26Al geochronology and surface-exposure ages at Taersa site along Karakax fault. LMC.las = UAV point cloud data of the offset shoreline along the Longmu Co fault KXF.txt = LiDAR x-y-z data of the Taersa site

Paleoseismology of the Hyde Fault - Supplementary material

Supplementary material to accompany publication of the paper Paleoseismology of the Hyde Fault,Otago, New Zealand submitted to the New Zealand Journal of Geology and Geophysics.  It contains: <ol> <li>A shapefile of the fault trace mapped from the lidar DEM is given in the file Hyde_fault_trace.zip. The shapefile includes attributes of the certainty with which each segment of the fault trace is mapped and the accuracy of interpretation.</li> <li> Orthophotos of the trenches are shown for the Lug Creek trench north wall (FigureS1.pdf) and south wall (FigureS2.pdf), and for the Rock Creek trench north wall (FigureS3.pdf) and south wall (FigureS4.pdf). </li> <li> The code used for generating the OxCal model in the file HydeFault_OxCal.txt. Note that OSL ages reported as thousands of years before present in Table 4 of the main text are converted to calendar years in this model. </li> </ol> The paper is authored by Jonathan D. Griffin, Mark W. Stirling, David J.A. Barrell, Ella van den Berg, Erin K. Todd, Ross Nicolls and Ningsheng Wang.

Dataset of Fault-Injection experiments in a publisher/subscriber IoT system

Dataset of Fault-Injection experiments in a publisher/subscriber IoT system with <a href="https://github.com/SIGNEXT/instrumentable-aedes">github/instrumentable-aedes</a>. The file contains data related to the used Node-RED flows, sanity checks and scenarios.

openother-openAug 2021View details →

The Ubiquitous Creeping Segments on Oceanic Transform Faults (supplementary)

The supplementary material to The ubiquitous creeping segments on oceanic transform faults, Pengcheng Shi, Meng (Matt) Wei, Robert A. Pockalny, 2021. Link to <a href="https://github.com/shipengcheng1230/OTF2021/tree/v1.0.1">GitHub</a>.