Find research datasets worth reusing

opencc-by-4.0Jan 2023View details →

Earthquake Data for Magnitude and Slip Scaling Relations

Data files useful in earthquake scaling relations.  They include compilations of a number of authors. Data files used in papers [Shaw, BSSA, 2013] and [Shaw, BSSA, 2023].  The first set are .txt electronic supplements from [Shaw, 2013].  The second set are a .csv file from [Shaw, 2023] and a  .csv file from [Biasi, et al., 2013] used in that paper.  Please use the references below if you use the data. ------------------------------------------- [Shaw, 2013] files: Bruce E. Shaw, ` Earthquake Surface Slip-Length Data is Fit by Constant Stress Drop and is Useful for Seismic Hazard Analysis', Bulletin of the Seismological Society of America, 103, 876, doi:10.1785/0120110258, 2013. The electronic supplement contains four space-delimited plain text tables of data used in the article. File descriptions: Table S1, BSSA-D-11-00258-esupp_TableS1_dyncm.txt, contains magnitude-length-width data reproduced from the WGCEP [2003] hazard estimate, taken from a Table in the Appendix D by Ellsworth [2003] USGS Open File Report 03-214. Table S2, BSSA-D-11-00258-esupp_TableS2.txt, reproduces a magnitude-area dataset compiled by Hanks and Bakun [2008]. Table S3, BSSA-D-11-00258-esupp_TableS3.txt, is derived from a surface slip-length dataset compiled by Wesnousky [2008]. Some modifications of this dataset have been made, taking into account new LIDAR results of [Zielke et al., 2010] of the 1857 M7.8 Fort Tejon event, and the addition of a new large 2008 M7.9 Wenchuan event [Xu et al., 2009]. Table S4, BSSA-D-11-00258-esupp_TableS4.txt, combines data from events common to Tables S2 and S3, to enable a comparison of events in common. References Ellsworth, W. L. (2003), Magnitude and area data for strike slip earthquakes, U.S. Geol. Surv. Open File Rep., 03-214 Appendix D. Hanks, T. C., and W. H. Bakun (2008), M-log A observations of recent large earthquakes, Bull. Seismol. Soc. Am., 98, 490. Shaw, Bruce .E (2013)., Earthquake Surface Slip-Length Data is Fit by Constant Stress Drop and is Useful for Seismic Hazard Analysis, Bull. Seismol. Soc. Am., 103, 876. Wesnousky, S. G. (2008), Displacement and geometrical characteristics of earthquake surface ruptures: Issues and implications for seismic-hazard analysis and the process of earthquake rupture, Bull. Seismol. Soc. Am., 98, 1609. WGCEP (2003), Earthquake probabilities in the San Francisco Bay Region: 2002 to 2031, U.S. Geol. Surv. Open File Rep., 03-214. Xu, X., X. Wen, G. Yu, G. Chen, Y. Klinger, J. Hubbard, and J. Shaw (2009), Coseismic reverse- and oblique-slip surface faulting generated by the 2008 Mw 7.9 Wenchuan earthquake, China, Geology, 37, 515, doi:10.1130/G25462A.1. Zielke, O., J. R. Arrowsmith, L. G. Ludwig, and S. O. Akciz (2010), Slip in the 1857 and ear- lier large earthquakes along the Carrizo Plain, San Andreas fault, Science, 327, 1119, doi: 10.1126/science.1182781. ------------------------------------------- [Shaw, 2023] files: Bruce E. Shaw, ` Magnitude and Slip Scaling Relations for Fault Based Seismic Hazard', Bulletin of the Seismological Society of America,  2023. catalogMeanGlobal.csv:   An effort to compile a database from the existing literature of finite source information on recent large and great earthquakes was recently led by a New Zealand group as part of an update to their national seismic hazard model [Stirling, et al., 2022].  They looked globally at M>7.5 shallow earthquakes since 1990, along with an additional subset of the M>7.0 shallow events since 1990 which were less poorly constrained.  These events were compiled through an extensive literature review. [Shaw, 2023] took that database and used averages over the width, length, area, magnitudes, and dips from the different sources in the literature for the same events to obtain a finite source data set for each event to analyze further. One issue with this dataset is that the complied data used for the averages did not undergo a thorough review, so there may be potential outliers and problems in individual data points.  In aggregate, statistically, it can be useful, which is how it was used.  But caution for any individual data point is warranted.  It is presented as a useful starting point for further development,  It is not a thoroughly vetted or definitive dataset. AppendixR1_TableR2_Biasi_adapted.csv is adapted from a file compiled and published by [Biasi, et al, 2013].  It contains slip, length, magnitude, and other data for large crustal earthquakes. References Biasi, G. P., R. J. Weldon, and T. E. Dawson (2013).  Distribution of slip in ruptures, UCERF3 Appendix F, USGS Open File Report, 2013-1165, Appendix F. Shaw, Bruce E (2023)., Magnitude and Slip Scaling Relations for Fault Based Seismic Hazard, Bull. Seismol. Soc. Am.. Stirling, M., B. Shaw, M. Fitzgerald, and C. Ross (2022). Selection and evaluation of magnitude - area scaling relations for update of the New Zealand National Seismic Hazard Model, Report to GNS Science NZ, 2022.

opencc-by-4.0Jan 2023View details →

European Earthquake Scenario Loss Repository

This repository provides a set of OpenQuake-engine input files required to run past earthquake scenarios for the testing of risk models. These scenarios can be run using either earthquake rupture models or ShakeMaps.

opencc-by-4.0Apr 2023View details →

Dataset of backprojection and MT inversion results for 2023 Türkiye earthquake sequence

This dataset contains the results of the back-projection analysis of the two Mw 7.7 and 7.6 earthquakes on February 6, 2023 in south-eastern Türkiye and the centroid moment tensor inversion results for one foreshock and 221 aftershocks. All methods and results are described in detail in the publication: Petersen et al., (2023): The 2023 SE Türkiye seismic sequence: Rupture of a complex fault network. The Seismic Record, 3 (2): 134-143. <a href="https://doi.org/10.1785/0320230008">https://doi.org/10.1785/0320230008</a>

opencc-by-4.0Jun 2023View details →

Pre-processed and modeled GNSS time-series after the 2011 Tohoku Earthquake

The raw, pre-processed, and modeled GNSS time-series of the 213 GEONET sites in the Tohoku region, Japan, from Mar. 12, 2011 to Nov. 20, 2021, relative to the Okhotsk plate (Argus et al., 2011, Geochemistry, Geophysics, Geosystems). The original GNSS time-series are F5 solutions, which are distributed by Geospatial Information Authority of Japan (GSI, https://www.gsi.go.jp/). The details and availability of F5 solutions are written in Takamatsu et al. (2023, Earth, Planets, and Space) https://doi.org/10.1186/s40623-023-01787-7. The GNSS time-series processing was performed by Tomita (submitted), and the following signals were excluded from the raw time-series: seasonal variation, coseismic step, antenna maintenance offset, and common mode errors. Then, the pre-processed time-series were modeled by a trajectory modeling method considering postseismic deformation of the 2011 Tohoku earthquake, the Boso SSEs, and postseismic deformations due to aftershocks and L-ASE (long-term aseismic slip event) since late 2019. "sitelist.txt" - Site information file column 1: Full site ID column 2: 4digits site ID column 3: Longitude [deg] column 4: Latitude [deg] column 5: Height [m]  "pre-process/xxxx.txt" - Time-series at xxxx (4digits site ID) site column 1: days from Mar. 12, 2011 (1 corresponds to Mar. 12, 2011) column 2: raw East-West displacement [m] column 3: raw North-South displacement [m] column 4: raw Up-down displacement [m] column 5: pre-processed East-West displacement [m] column 6: pre-processed North-South displacement [m] column 7: pre-processed Up-down displacement [m] "model/xxxx/prediction_yy.txt" - Time-series for yy component (yy=EW, NS, UD) at xxxx (4digits site ID) site column 1: days from Mar. 12, 2011 (1 corresponds to Mar. 12, 2011) column 2: modeled displacement excluding the Boso SSEs [m] column 3: modeled displacement excluding the Boso SSEs and postseismic deformation due to aftershocks caused one year after the 2011 Tohoku Eq. [m] column 4: modeled displacement excluding the Boso SSEs, postseismic deformation due to aftershocks caused one year after the 2011 Tohoku Eq. and the 2019 L-ASE [m] The displacement on Mar. 12, 2011 was initially set to be zero before the pre-processing, but the removal of the above factors provided some deviation from zero. The raw time-series excluded outliers from the original F5 solutions, and the raw time-series were transformed into the Okhotsk plate reference. Following the above trajectory modeling, the fully-relaxed postseismic displacement fields due to 2015 Feb. 17 Sanriku-oki earthquake ("Table_displacement1.xlsx"), the 2015 May 13 Miyagi-oki earthquake ("Table_displacement2.xlsx"), and summation of the 2021 Feb. 13 Fukushima-oki, the 2021 Mar. 20 Miyagi-oki, and the 2021 May 1 earthquakes ("Table_displacement2.xlsx") were calculated. Moreover, the cumulative displacement field due to the 2019 L-ASE since Nov. 25, 2019 was also calculated. In those files, the estimation errors are also shown as 1σ standard deviation obtained from diagonal components of the model covariance matrices.    The details of these data are introduced in the corresponding paper (Tomita, submitted).

opencc-by-4.0Jun 2023View details →

Homogenized catalog of Black Sea earthquakes from 1905 to 2022 up to 40 km depth

The data homogenized catalog of 54,647 earthquakes from 1905 to 2022 for the Black Sea region up to 40 km depth is published in CSV format. More details in the paper: Oynakov et al., 2023, Compilation of regional homogeneous seismic catalog for identification of tsunamigenic zones in the Black Sea region, Geosciences.

opencc-by-4.0Aug 2021View details →

Seismicity catalog of hydraulic-fracturing-induced earthquakes in the Kiskatinaw area, northeast British Columbia

Seismicity catalog of 8,731 hydraulic-fracturing-induced earthquakes in the Kiskatinaw area, northeast British Columbia between 1 July 2017 to 31 Dec 2020. The Study area covers the Kiskatinaw area, wich extends over parts of the Montney Formation, a major shale gas play within the Western Canada Sedimentary Basin. Catalog corresponds to: Roth, M. P., A. Verdecchia, R. M. Harrington, and Y. Liu (2020). High-Resolution Imaging of Hydraulic-Fracturing-Induced Earthquake Clusters in the Dawson-Septimus Area, Northeast British Columbia, Canada, Seismol. Res. Lett. 91, 2744–2756, doi:  10.1785/0220200086.

opencc-by-4.0Aug 2023View details →

Afterslip distribution related to the Van Earthquake (Turkey) of 23 Oct. 2011

Two distributions of slip (afterslip) related to the Van earthquake - after 4 days - after 17 days as reported in Figure 9 and 10 of the paper Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling Elisa Trasatti, Cristiano Tolomei, Giuseppe Pezzo, Simone Atzori and Stefano Salvi Rem. Sens. 2016, 8, 532; doi:10.3390/rs8060532   Coordinates, depth and slip in meters. The geographical coordinates are projected with UTM zone 38. The depth of the first row of patches is positive due to the elevation of the area.

opencc-by-4.0Aug 2023View details →

NLL-SSST-coherence high-precision earthquake location catalog for the 2023 Ojai, California earthquake sequence

Hypocenter catalog files and visualizations of high-precision, NLL-SSST-coherence earthquake locations for the 2023 M5.1 Ojai, California earthquake sequence and background seismicity (2128 events, 1980-01-01 to 2023-08-25). NLL-SSST-coherence (<a href="https://doi.org/10.1029/2021JB023190">Lomax and Savvaidis, 2022</a>; <a href="https://doi.org/10.26443/seismica.v2i1.324">Lomax and Henry, 2023</a>) is an enhanced, absolute-timing earthquake location procedure which 1) iteratively generates spatially varying travel-time corrections to improve multi-scale location precision and 2) uses waveform similarity to improve fine-scale location precision. Relocations performed with phase arrival data available from <a href="http://service.scedc.caltech.edu">http://service.scedc.caltech.edu</a> Visualizations include topography from <a href="https://opentopography.org">https://opentopography.org</a> and surface fault traces from <a href="https://usgs.maps.arcgis.com/apps/webappviewer/index.html?id=5a6038b3a1684561a9b0aadf88412fcf">https://usgs.maps.arcgis.com</a>   This repository contains: Full catalog in CSV format: CSV file data columns correspond to selected fields of the of NonLinLoc Hypocenter format output <a href="http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_">http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_</a> Full catalog in NonLinLoc hyp format: NonLinLoc Hypocenter format output <a href="http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_">http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_</a> Key NLL-SSST-coherence configuration files: NLL-SSST-coherence_config/* Selected Visualization images

opencc-by-4.0Oct 2023View details →

Role of fluid on earthquake occurrence: Example of the 2019 Ridgecrest and the 1997, 2009 and 2016 Central Apennines sequences

This repository contains files needed to reproduce the b-value times series and stress change modeling related to the Central Apennines and Ridgecrest earthquake sequences (paper under revision, preprint available at <a href="https://doi.org/10.31223/X5MH1J">https://doi.org/10.31223/X5MH1J</a>).

opencc-by-4.0Dec 2019View details →

The dataset from a submitted journal entitled "Characterization of the Mamasa earthquake source in West Sulawesi based on the earthquake relocation data, gravity data, and coulomb stress change of Palu earthquake series"Dataset for paper

This dataset consists of four files, namely: 1. Coulomb Stress Input file. This data is input data for Coulomb 3.3 software 2. Double Couple Percentage. This table is used for the Spatio-temporal Compensated Linear Vector Dipole (CLVD) analysis 3. Gravity data. This data consists of coordinates, altitude, and Complete Bouguer Anomaly. 4. Residual comparison of before and after the relocation. This table is to ensure that our relocation is successful

opencc-by-4.0Feb 2020View details →

CNNpredIM - Dataset for Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network

The dataset available here is the dataset used in the <a href="https://academic.oup.com/gji/advance-article/doi/10.1093/gji/ggaa233/5836721">paper "Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network".</a> The abstract of the paper: <blockquote> This study describes a deep convolutional neural network (CNN) based technique for the prediction of intensity measurements (IMs) of ground shaking. The input data to the CNN model consists of multistation 3C broadband and accelerometric waveforms recorded during the 2016 Central Italy earthquake sequence for M ≥ 3.0.  We find that the CNN is capable of predicting accurately the IMs at stations far from the epicenter and that have not yet recorded the maximum ground shaking when using a 10 s window starting at the earthquake origin time. The CNN IM predictions do not require previous knowledge of the earthquake source (location and magnitude).  Comparison between the CNN model predictions and the predictions obtained with Bindi et al. (2011) GMPE (which require location and magnitude) has shown that the CNN model features similar error variance but smaller bias. Although the technique is not strictly designed for earthquake early warning, we found that it can provide useful estimates of ground motions within 15-20 sec after earthquake origin time depending on various setup elements (e.g., times for data transmission, computation, latencies). The technique has been tested on raw data without any initial data pre-selection in order to closely replicate real-time data streaming. When noise examples were included with the earthquake data, the CNN was found to be stable predicting accurately the ground shaking intensity corresponding to the noise amplitude. </blockquote>

opencc-by-4.0Feb 2020View details →

Numerical modeling of the seismic cycle for normal and reverse faulting earthquakes in Italy

Results of the numerical models expressed in terms of nodal stresses, strains and displacements. Data Set S1. Nodal values of the modelled displacements for the L’Aquila 2009 earthquake. Data Set S2. Nodal values of the modelled strain tensor for the L’Aquila 2009 earthquake. Data Set S3. Nodal values of the modelled stress tensor for the L’Aquila 2009 earthquake. Data Set S4. Nodal values of the modelled displacements for the Norcia 2016 earthquake. Data Set S5. Nodal values of the modelled strain tensor for the Norcia 2016 earthquake. Data Set S6. Nodal values of the modelled stress tensor for the Norcia 2016 earthquake. Data Set S7. Nodal values of the modelled displacements for the Emilia 2012 earthquake. Data Set S8. Nodal values of the modelled strain tensor for the Emilia 2012 earthquake. Data Set S9. Nodal values of the modelled stress tensor for the Emilia 2012 earthquake.

Station catalog in "Real-time earthquake location based on the Kalman filter formulation"

Station catalog used to locate earthquakes in Parkfield, California, in the manuscript entitled "Real-time earthquake location based on the Kalman filter formulation" submitted to Geophysical Research Letters

Coseismic ground deformation map for the Mw5.7 20 March, 2019 Acipayam earthquake (Turkey)

This repository contains an interferogram from Sentinel-1 satellite acquired over the Mw5.7 20 March, 2019 Acipayam earthquake (Turkey). This interferogram was obtained by processing Sentinel-1 SAR data with the JPL-developed InSAR Scientific Computing Environment (ISCE) open-source software package. Sentinel-1 descending track 138: <ul> <li>Master image: 11 Mar 2019, identifier: S1A_IW_SLC_1SDV_20190311T040709_20190311T040736_026285_02F00C_6A73</li> <li>Slave image: 23 Mar 2019, identifier: S1A_IW_SLC_1SDV_20190323T040709_20190323T040736_026460_02F67D_EC68</li> </ul> This interferogram was generated for figures in: Jiang, Y., and González, P. J. (2020). "Bayesian inversion of wrapped satellite interferometric phase to estimate fault and volcano surface ground deformation models. " JGR: Solid Earth.

Data for "Volcano-tectonic interactions at Sabancaya volcano, Peru: Eruptions, magmatic inflation, moderate earthquakes, and fault creep"

Data and models presented in the paper "Volcano-tectonic interactions at Sabancaya volcano, Peru: Eruptions, magmatic inflation, moderate earthquakes, and fault creep".  See file "README.txt" for detailed descriptions of each item.

opencc-by-4.0May 2020View details →

Waveforms, relocated earthquake and matched filter catalog of seismic swarm preceding the 2017 Mount Agung eruption

Datasets for the manuscript: Sianipar, D., Ulfiana, E., and Sipayung, R. (2020), Seismic swarm preceding the 2017 Mount Agung eruption in Bali (Indonesia) enhanced by the matched filter approach (submitted) (preprint is available at EarthArxiv: <a href="https://eartharxiv.org/a7yx2/">https://eartharxiv.org/a7yx2/</a>) by Dimas Sianipar, Emi Ulfiana, and Renhard Sipayung (STMKG, BMKG, Indonesia). Files including: 1) List of continuous waveforms 2) HypoDD files: dt.cc, dt.ct, event.dat, hypoDD.reloc, phase.dat 3) Processed (filtered) 407 template waveforms 4) BMKG catalog 5) MFT catalog in ZMAP format 6) Table S1: template candidates 7) Table S2: MFT catalog The compressed file (*.rar) has been successfully extracted in Ms. Windows OS using WinRAR.

Detection of very low frequency earthquakes based on matched-filter technique

List of origin times of detected Very low frequency earthquakes based on Baba et al. (2020, Journal of Geophysical Research). Analysis period: January 2003-June 2019 The content of this analysis is published in Geophysical Research Letters: <a href="https://doi.org/10.1029/2020GL088089">https://doi.org/10.1029/2020GL088089</a> First column: year, second column: month, third column: day, forth column: hour, fifth column: minute, sixth column: second, seventh column: longitude, eighth column: latitude, ninth column: depth, and tenth column: region name. Times are described in JST (UT+9). Data Set S1 of supporting information of GRL corresponds to version 2. We updated the catalog because the information on Line 19035 in version 2 was incomplete.

opencc-by-4.0Oct 2020View details →

Slip model and dataset - A stochastic view of the 2020 Elazig Mw 6.8 earthquake (Turkey)

This repository contains files describing the slip model and data published in "A stochastic view of the 2020 Elazig Mw 6.8 earthquake (Turkey)" by T. Ragon et al. The slip model has been inferred with a Bayesian approach (AlTar), assuming a complex fault geometry with triangular subfaults and layered crustal structure, and accounting for epistemic uncertainties. The slip model and dataset are extensively described in the publication. Description of the files: > Slip model     - elazig_sigma_dip.dat : Standard deviation of the slip in the along-strike direction     - elazig_sigma_stk.dat : Standard deviation of the slip in the along-dio direction     - elazig_slip.dat : Total slip amplitude         - elazig_slip_dip.dat : Slip amplitude in the along-dip direction     - elazig_slip_stk.dat : Slip amplitude in the along-strike direction          - elazig_slipdir.dat : Vectors for the rake > Data     - elazig_A116_data_rect.dat : downsampled surface displacement for the Sentinel 1A asc. interferogram     - elazig_A182_data_rect.dat : downsampled surface displacement for the ALOS 2 asc. interferogram     - elazig_A182_po_data_rect.dat : downsampled surface displacement for the ALOS 2 pixel offset ascending track     - elazig_D077_data_rect.dat : downsampled surface displacement for the ALOS 2 dsc. interferogram     - elazig_D077_po_data_rect.dat : downsampled surface displacement for the ALOS 2 pixel offset descending track     - elazig_D123_data_rect.dat : downsampled surface displacement for the Sentinel 1A dsc. interferogram     - elazig_gps_data.dat : GPS data The format of all *slip* and *sigma* files at the exception of 'elazig_slipcenterll.dat' and 'elazig_slipdir.dat' is as follow: > -Z[ slip amplitude ] # [subault index 1] [subfault index 2] 9999999   # [ strike slip amplitude] [dip slip amplitude] 0.0    [longitude] [latitude] [depth of point 1] [longitude] [latitude] [depth of point 2] [longitude] [latitude] [depth of point 3] The format of all inteferograms and PO files is as follow: > -Z[surface displacement in the LOS or azimuth direction] [lon] [lat for NW corner] [lon] [lat for NE corner] [lon] [lat for SE corner] [lon] [lat for SW corner] [lon] [lat for NW corner]

opencc-by-4.0Oct 2020View details →

Earthquakes with Moho depth

List of earthquake with their time, location and magnitude and the Moho depth referred to the earthquake location