Find research datasets worth reusing

3-D Crustal Vp, Vs, Vp/Vs models around the Huoshan earthquake swarm (霍山震群区三维地壳速度与纵横波速度比模型)

3-D Crustal Vp, Vs, Vp/Vs models around the Huoshan earthquake swarm with a grid spacing of 0.33deg*0.33deg. The data format follows "longitude, latitude, depth, Vp, Vp average, Vp perturbation, Vs, Vs average, Vs perturbation". 霍山震群区三维地壳速度与纵横波速度比模型,网格间距为0.33°×0.33°。 数据格式如下:“经度纬度深度 P波绝对速度 P波平均速度 P波速度扰动 S波绝对速度 S波平均速度 S波速度扰动纵横波速度比”。

Hypocenters, Focal Mechanisms, and Radiated Energy of Small Earthquakes in Northern Ibaraki Prefecture, Japan

Estimated hypocenters, focal mechanisms, and radiated energy of small earthquakes in northern Ibaraki Prefecture, Japan, are available here. <ul> <li>ASCII file "hypo.dat" contains the relocated hypocenters.</li> <li>ASCII files "mec1.dat" and "mec2.dat" contain the focal mechanisms estimated for the MJMA2.0-4.0 and MJMA1.0-2.0 earthquakes, respectively.</li> <li>ASCII file "er. dat" contains the estimated radiated energy.</li> </ul> The contents of each file are listed on the first line of the file.

Denoised Earthquake Data of Cook Inlet-DAS and Phase Picks

Open the record for dataset details and reuse information.

Data for "effects of fault contact heterogeneity on laboratory earthquake initiation and dynamic rupture"

The second column in the files named by "Time_and_dLP", "Time_and_Mu0", "Time_and_Sigma0", and "Time_and_Tau0" indicate the along-fault loading point displacement (dLP), macroscopic friction coefficient (Mu0), macroscopic normal stress (Sigma0), and macroscopic shear stress (Tau0), respectively, measured in the loading apparatus. The first column in these files are time. Local fault displacement data are named by the form of, for example, "Event101_FaultDisplacement_L1(x=270mm)", which means that the fault displacement measured by Sensor L1 located at x=270 mm during stick-slip Event 101. Their corresponding time is save in the file named by "Event101_FaultDisplacement_Time". Local shear stress data are named by the form of, for example, "Event101_ShearStress_S1(x=-323.95mm)", which means that the shear stress measured by Sensor S1 located at x=-323.95 mm during stick-slip Event 101. Their corresponding time is save in the file named by "Event101_ShearStress_Time".

Earthquake catalog at the Blanco Transform Fault Zone between 2012 and 2013

The csv file provides an earthquake catalog derived from data of ocean-bottom seismometers operated between 2012 and 2013 at the Blanco Transform Fault Zone. The data file is in ASCII text format. The first row is a column header that describes the content of the catalog: Earthquake origin date, time, latitude, longitude, depth and local magnitude. Not all earthquakes have a local magnitude estimate due to data selection.

Dataset for the NC article: Deep mantle earthquakes linked to CO2 degassing at the Mid-Atlantic Ridge

The obtained earthquake catalogue, picked P- and S-arrivals, and 1-D velocity models in the Mid-Atlantic Ridge in the equatorial Atlantic ocean, using a recent temporary array of seafloor seismometers. Related article: Yu, Z., Singh, S.C., Hamelin, C. et al. Deep mantle earthquakes linked to CO2 degassing at the mid-Atlantic ridge. Nat Commun 16, 563 (2025). https://doi.org/10.1038/s41467-024-55792-9

Thrust-dominated unilateral rupture of a blind listric fault associated with the 2024 Hualien earthquake

Slip model and the interferometric synthetic aperture radar (InSAR) of the 2024 Hualian Mw 7.4 earthquake.

Relocation of the 2024 MS 7.1 Wushi, Xinjiang earthquake sequence and implications for seismogenic structure

This file is the relocated data of the 2024 Wushi Ms 7.1 earthquake using Double-difference algorithm. It is only used for scientific research.

Cross-correlations of Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes

Repository of  <h1>Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes</h1> This dataset contains the cross-correlation functions of station pairs used for Ridgecrest, CA, Turkiye (EAFZ), and Aegean Sea (NAT). The dataset is compressed in a tar.gz. To decompress, use tar -xzvf filename.tar.gz. Download and decompress the cross-correlations dataset named WF_DEC_DAT_CC.tar.gz. <h2>Description of the data and file structure</h2> The dataset is organized by study area as follows: ZONE (Aegean, Ridgecrest, Turkey) with sub-directories CC (cross-correlation functions). Sub-directories CC contain sub-directories named according to station pairs (e.g., XXX_YYY) storing cross-correlation functions in numpy arrays organized by stacking (5, 10, and 20 days) and different frequency bands, adapted to use in the Ambient-Noise Seismology Package NoisePy <a href="https://github.com/noisepy/NoisePy">https://github.com/noisepy/NoisePy</a> (Jiang and Denolle, 2020). Data was derived from the following sources: <ul> <li> The raw data can be downloaded from <a href="https://ds.iris.edu/mda/CI/">https://ds.iris.edu/mda/CI/</a> (for Ridgecrest dataset) and <a href="https://www.orfeus-eu.org/data/">https://www.orfeus-eu.org/data/</a> for (Turkey and Aegean Sea datasets). The cross-correlation functions computed using MSNoise <a href="http://msnoise.org/doc/index.html">http://msnoise.org/doc/index.html/</a> Lecocq et al (2014). </li> </ul> <h2>Code/Software</h2> To reproduce the results and conclusion of the manuscript, use the Jupyter notebooks available at <a href="https://github.com/fjmunozb/EQ_Precursors">https://github.com/fjmunozb/EQ_Precursors</a>. Find also python environments to install MSNoise and NoisePy.

Stretching results of Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes

Repository of  <h1>Days before the strike: precursory waveform decoherence preceding major strike-slip earthquakes. Stretching results</h1> This dataset contains the stretching results of cross-correlation functions using station pairs for Ridgecrest, CA, Turkiye (EAFZ), and Aegean Sea (NAT). The dataset is compressed in a tar.xz. To decompress, use tar -xvJf filename.tar.xz. Download and decompress the cross-correlations dataset named WF_DEC_DATA.tar.xz. <h2>Description of the data and file structure</h2> The dataset is organized by study area as follows: ZONE (Aegean, Ridgecrest, Turkey) each zone contains a directory named "stretching" (stretching results). Sub-directories "stretching" contain sub-directories named according to station pairs (e.g., XXX_YYY) storing *.npz files organized by stacks and frequency bands corresponding to results after applying the stretching technique.  The directories pre_postZZ present in each main region directory (e.g., WF_DEC_DATA/RIDGECREST/stretching/CCC_TOW2/pre_postZZ), can be used to plot dv/v and waveform coherence variations before and after the mainshocks. To reproduce the results and conclusion of the manuscript, use the Jupyter notebooks available at https://github.com/fjmunozb/EQ_Precursors (opens in new window). Find also python environments to install MSNoise and NoisePy.

opencc-by-sa-4.0Sep 2018View details →

High-rate GNSS displacement waveforms for large earthquakes version 2.0

This dataset accompanies A Global Database of Strong Motion Displacement GNSS Recordings and an Example Application to PGD Scaling published in Seismological Research Letters by Ruhl et al. (2018). The data is structured as follows: Once expanded the data within the archive are structured as follows: Inside the archive there is one folder per event clearly labeled with the event names in Table 1 from the main text. Inside each event folder is a text file (EVENT_disp.chan) with station metadata (station codes, coordinates, and gain values), importantly because the waveforms are provided as mini-SEED files with integer values the gain must be applied to convert to physical displacement units. There is a “disp” folder which contains files named using the convention STA.LXE.mseed, STA.LXN.mseed and STA.LXZ.mseed where “STA” is the station code and LXE, LXN, and LXZ are east, north, and up waveforms, respectively. The sampling rate for each waveform is indicated inside the miniSEED header of each waveform as well as in the corresponding metadata channel file. The data are provided in UTC time with leap seconds fully corrected for so no further processing is necessary. There is also a "_plots" folder with a plot of the three-component record section for each event.

opencc-by-4.0Oct 2018View details →

Simulation results for the earthquake cycle including huge SSEs.

The damped data for the simulation results shown in the paper titled "Nucleation for characteristic earthquakes in simulated cycles involving huge slow slip events on the deeper estension"(now in under review), authored by Ohtani, Makiko, N. Kame, and M. Nakatani.

opencc-by-4.0Dec 2008View details →

Electronic Supplement to Structural configuration of the Otates fault (southern Basin-and-Range Province) and its rupture in the 3 May 1887 MW = 7.5 Sonora, Mexico earthquake

Electronic supplement to "Structural configuration of the Otates fault (southern Basin-and-Range Province) and its rupture in the 3 May 1887 MW = 7.5 Sonora, Mexico earthquake" (Seismological Society of America Bulletin, v. 98, no. 6, p. 2879-2893, 2008) with color-coded elevation model, satellite image of major Basin andRange normal faults in the study area, color version of geologic map, and additional photographs. High-resolution files of these figures are also available without restriction from  http://www.seismosoc.org/Publications/BSSA_html/bssa_98-6/2008129-esupp/

opencc-by-4.0May 2019View details →

SeisSol dynamic rupture model setup of the Mw 7.5 Palu earthquake scenario published in Ulrich et al. (2019)

All data required to run the dynamic rupture model of the Palu earthquake presented in: Ulrich, T., Vater, S., Madden, E. H., Behrens, J., van Dinther, Y., van Zelst, I., Fielding, E. J., Liang, C. & Gabriel, A. A. (2019). Coupled, Physics-based Modeling Reveals Earthquake Displacements are Critical to the 2018 Palu, Sulawesi Tsunami. doi: 10.31223/osf.io/3bwqa. A detailed readme file summarizing the data and data formats is also provided.

Effects of earthquake spatial slip correlation on variability of tsunami intensity variables

Data entry to reproduce the tsunamis with the aid of GeoClaw, as well as the spatial earthquake slip rupture.

Real-Time High-Rate GNSS Displacements: Performance Demonstration During the 2019 Ridgecrest, CA Earthquakes

Post-processed and real-time GNSS displacement waveforms for the 2019 Ridgecrest earthquakes. Waveforms are for the M6.4 and M7.1 events recorded at 1 and 5Hz sample rates. Data are in miniSEED format, channel codes LYE, LYN, LYZ correspond to east, north, and up respectively. Displacement units are meters and time is UTC. The data are trimmed 60s before the USGS origin times for the earthquakes. No filtering has been applied. A paper describing the data has been submitted to SRL. In the meantime if you use the data please cite our <a href="https://eartharxiv.org/pdxqw/">preprint on the EarthArXiv</a> as: Melgar, D., TI Melbourne, BW Crowell, J Geng, W Szeliga, C Scrivner, M Santillan, DER Goldberg. 2019. Real-time High-rate GNSS Displacements: Performance Demonstration During the 2019 Ridgecrest, CA Earthquakes. EarthArXiv, doi:10.31223/osf.io/pdxqw.

Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves

All data used in paper "Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves".

A Novel Hybrid Finite Element-Spectral Boundary Integral Scheme for Modeling Earthquake Cycles: Application to Rate and State Faults with Low-Velocity Zones

We present a novel hybrid finite element (FE) - spectral boundary integral (SBI) scheme that enables efficient simulation of earthquake cycles. This combined FE-SBI approach captures the benefits of finite elements in modelling problems with nonlinearities, as well as the computational superiority of SBI. The domain truncation enabled by this scheme allows us to utilize high-resolution finite elements discretization to capture inhomogeneities or complexities that may exist in a narrow region surrounding the fault. Combined with an adaptive time stepping algorithm, this framework opens new opportunities for modeling earthquake cycles with high-resolution fault zone physics. In this initial study, we consider a two dimensional (2-D) anti-plane model with a vertical strike-slip fault governed by rate and state friction in the quasi-dynamic limit under the radiation damping approximation. The proposed approach is first verified using the benchmark problem BP-1 from the Southern California Earthquake Center (SCEC) sequence of earthquake and aseismic slip (SEAS) community verification effort. The computational framework is then utilized to model the earthquake sequence and aseismic slip of a fault embedded within a low-velocity fault zone (LVFZ) with different widths and compliance levels. Our results indicate that sufficiently compliant LVFZs contribute to the emergence of sub-surface events that fail to penetrate to the free surface and may experience earthquake clusters with nonuniform inter-seismic time. Furthermore, the LVFZ leads to slip rate amplification relative to the homogeneous elastic case. We discuss the implications of our results for understanding earthquake complexity as an interplay of fault friction and bulk heterogeneities. The complete work consists of all files listed below.

opencc-by-4.0Sep 2019View details →

Inconsistent Permeability Changes along a Fault Zone Caused by the Xingwen M5.7 Earthquake in SW China

Data for manuscript " Inconsistent Permeability Changes along a Fault Zone Caused by the Xingwen M5.7 Earthquake in SW China "