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opencc-by-4.0Jun 2022View details →

Low-fold seismic reflection data acquired across the Northern Hikurangi subduction margin and incoming Hikurangi Plateau, New Zealand

Two-dimensional seismic reflection data were acquired on two surveys of the Northern Hikurangi subduction margin, New Zealand in 2011 and 2015. The survey data were collected to support research of tectonic structure, slow slip processes, stratigraphic architecture, and thermal state of the subduction margin and incoming plate, as well as to support ocean-floor drilling associated with IODP Expeditions 372 and 375. The surveys include (1) R/V Tangaroa NIWA voyage TAN1114 undertaken in 2011 by the National Institute of Water and Atmospheric Research (NIWA) and GNS Science, as part of the OS2020 Northern Hikurangi Margin Geohazards survey; and (2) R/V Rodger Revelle cruise RR1508 undertaken in 2015 by Oregon State University as part of the Subduction Thrust Investigation of New Zealand using Geothermics and Seismics (STINGS) project (see Figure 1). TAN1114 voyage was funded by the New Zealand Government Oceans 2020 Programme, and core research programme funding by NIWA and GNS Science. Cruise RR1508 was funded by NSF grants OCE-1355878 and OCE-1355870.   R/V Tangaroa TAN1114 Seismic Data Data Acquisition:  The seismic system used on R/V Tangaroa during the 2011 National Institute of Water and Atmospheric Research (NIWA) survey TAN1114 included a source comprising two Sodera 45/105 GI guns operated in true GI mode. The guns were deployed 35 m behind the vessel RV Tangaroa at 5 m water depth. Lines TAN1114-01 to -13, and part of line 14 were acquired with a shot interval of 10.8 seconds (~25 m sailing at 4.5 knots), providing a nominal coverage of 12-fold data. Part of line TAN1114-14 and lines 15-23 were acquired with a shot interval of 21.6 seconds (~50 m sailing at 4.5 knots), providing a nominal 6-fold coverage. Data were recorded on a Geometrics GeoEel 48-channel seismic streamer with 6 X 100 m active sections, and a group interval of 12.5 m. The streamer was deployed at a depth of 7.5 m, apart from line TAN1114-01 where it was towed at 5 m depth. Depth control was maintained with a CSMX depth control system including three DigiCourse 5011 compass birds. The record length was 8 s and the sample rate 2 ms. Differential GPS was used for positioning. Table 1 summarises TAN1114 recording parameters and Table 2 lists TAN1114 lines acquired and processed. TAN1114 line coordinates are detailed in Table 3. Data Processing:  A total of 29 seismic lines were processed providing 1350 km of multichannel seismic reflection data. The lines were processed to post-stack time-migrated SEGY sections, using GNS Science GLOBE CLARITAS. With allowance for overlap of line segments the data were grouped into 51167 shot-point locations. Raw data were written to disk as IBM standard SEG-Y files. IBM Claritas Extended SEG-Y data were written to disk after geometry was added, after stack, and after migration. Shots were CDP sorted from disk during the stacking process to avoid creating large and unnecessary separate CDP sorted files.  Post-stack migration (finite difference migration) has been applied to the stacked sections to produce a dip-true image, this results in clearer resolution of structural features such as faults and folds, and of detailed sedimentary features such as on-lapping and truncated reflections. Sea-floor multiple reflections disturb structural imaging especially in water depths less than 500 m.  All seismic data are written to disk as processed sections in SEG-Y format. Line TAN1114-A is a composite splice including parts of lines TAN1114-4A, -6A and 7A. Details of the TAN1114 processing parameters are given in Table 4 and SEG-Y trace headers in Table 5.   R/V Rodger Revelle RR1508 Seismic Data Data Acquisition: The 2015 R/V Rodger Revelle survey RR1508 used a seismic system operated by Scripps Institute of Oceanography. Of two sub-regions surveyed during this cruise, only data from the northern Hikurangi margin are presented here. The seismic system used was similar to that on Tangaroa TAN1114, including a source comprising two Sodera 45/105 GI guns operated in true GI mode. The guns were deployed at a depth of 3.5 m and the shot spacing was 25 m.  Data were recorded on a Geometrics GeoEel 48-channel seismic streamer with 6 X 100 m active sections, and a group interval of 12.5 m. The streamer was deployed at a depth of 3.5 m. During acquisition of the HKS01 lines, only the nearest 40 data channels were recorded. The record length was 8 s and the sample rate 1 ms. Differential GPS was used for positioning. Table 6 summarises RR1508 recording parameters and Table 7 lists RR1508 lines acquired and processed. Data Processing: A total of 13 HKS01 seismic lines were processed to post-stack time-migrated SEGY sections, using GNS Science GLOBE CLARITAS. Data processing included application of geometry, sorting, trace editing, normal moveout correction, stack, filtering and finite difference migration. All seismic data are written to disk as processed sections in SEG-Y format. Details of the RR1508 processing parameters are given in Table 8 and SEG-Y trace headers in Table 9.   List of files Figure 1. TAN1114 and RR1508 seismic line locations on the northern Hikurangi margin. Table 1. Summary of TAN1114 recording parameters. Table 2. Summary of TAN1114 lines acquired and processed. Table 3. Summary of TAN1114 line coordinates. Table 4.  Summary of TAN1114 seismic processing sequence. Table 5.  Summary of TAN1114 SEG-Y trace headers. Table 6. Summary of RR1508 recording parameters. Table 7. Summary of RR1508 lines acquired and processed. Table 8.  Summary of RR1508 seismic processing sequence. Table 9.  Summary of RR1508 SEG-Y trace headers.   Processed SEGY seismic data TAN1114-01.sgy TAN1114-02.sgy TAN1114-03.sgy TAN1114-04.sgy TAN1114-04A.sgy TAN1114-05.sgy TAN1114-06.sgy TAN1114-06A.sgy TAN1114-07.sgy TAN1114-07A.sgy TAN1114-08.sgy TAN1114-09.sgy TAN1114-10.sgy TAN1114-10B.sgy TAN1114-11.sgy TAN1114-12.sgy TAN1114-12T.sgy TAN1114-13.sgy TAN1114-14.sgy TAN1114-15.sgy TAN1114-16.sgy TAN1114-17.sgy TAN1114-18.sgy TAN1114-19.sgy TAN1114-20.sgy TAN1114-21.sgy TAN1114-22.sgy TAN1114-23.sgy TAN1114-A.sgy RR1508-HKS01_01.sgy RR1508-HKS01_02.sgy RR1508-HKS01_02A.sgy RR1508-HKS01_03.sgy RR1508-HKS01_04.sgy RR1508-HKS01_05.sgy RR1508-HKS01_05A.sgy RR1508-HKS01_06.sgy RR1508-HKS01_07.sgy RR1508-HKS01_08.sgy RR1508-HKS01_09.sgy RR1508-HKS01_09A.sgy RR1508-HKS01_10.sgy

opencc-by-4.0Aug 2022View details →

MPS19 seismic hazard model of Italy results

The MPS19 model is the result of the activities performed by the Seismic Hazard Center at INGV (Centro Pericolosità Sismica - CPS) in the framework of the 2015-2019 DPC-INGV B1 agreements. The documentation of the whole work is presented in Meletti et al. (2021). Details on the earthquake rupture forecasts are reported in Visini et al. (2021). Details on the ground motion models are reported in Lanzano et al. (2020). Data are free for the users, by reporting the following citation: Meletti C., Marzocchi W., D'Amico V., Lanzano G., Luzi L., Martinelli F., Pace B., Rovida A., Taroni M., Visini F. & the MPS19 Working Group, 2022. MPS19 seismic hazard model of Italy results. DOI: 10.5281/zenodo.7032251 In each file, the different sheets list the mean values and the values corresponding to 84th, 16th, 97.5th and 2.5th percentiles for the spectral acceleration, contained in the filename. Values are computed for 10 probabilities of exceedance in 50 years (as reported in the column name) and for rocky soil (class A of the Eurocode 8). Values represent the geometric mean of the horizontal components of the shaking. Values are computed on a regular grid 0.05 degrees spaced, covering the Italian territory.

Data for Estimation of 3D Moho depths beneath Southern Indian Shield by inverting seismic constraint gravity anomalies

This is a help file for a description of all Data used for the implementation of our present paper 'Estimation of 3D Moho depths beneath Southern Indian Shield by inverting seismic constraint gravity anomalies.'

Seismicity modulation due to hydrological loading in a stable continental region: a case study from the Jektvik swarm sequence in Northern Norway

This folder contains earthquake catalog used in "Seismicity modulation due to hydrological loading in a stable continental region: a case study from the Jektvik swarm sequence in Northern Norway" by Shiddiqi et al. (2022) submitted to Geophysical Journal International. note: unrelocated earthquakes are marked with 999 in location errors.

Earthquake catalog for "Seismicity modulation due to hydrological loading in a stable continental region: a case study from the Jektvik swarm sequence in Northern Norway"

Data and program codes to reproduce the results of local earthquake seismic tomography for Tenerife Island

This file contains the files to reproduce the results presented in the article: Local earthquake seismic tomography reveals the link between the crustal structure and volcanism in Tenerife (Canary Islands) by Ivan Koulakov, Luca D'Auria, Janire Prudencio, Iván Cabrera-Pérez, Nemesio M. Pérez, Jesús M. Ibáñez, Journal of Geophysical Research, Solid Earth. This file includes: 1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA).  2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Tenerife Island, Canary Archipelago. 3. README_TENERIFE.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article.  Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.

opencc-by-4.0Oct 2022View details →

InSAR time-series and FEM Model of the Post-seismic Surface Deformation following the 2013 Baluchistan Earthquake

Subduction zone accretionary prisms are commonly modeled as elastic structures where permanent deformation is accommodated by faulting and folding of otherwise elastic materials, yet accretionary prisms may exhibit other deformation styles over relatively short time scales. In this study, we use 6.5-year (2014-2021) Sentinel-1 InSAR time-series of post-seismic deformation in the Makran accretionary prism of southeast Pakistan to characterize non-linear viscoelastic deformation within an active accretionary prism on short timescales (months to years). We constructed a series of 3-D finite-element models of the Makran subduction zone, including an accretionary prism, and constrained the elastic thickness of the upper wedge and the flow-law parameters (power-law exponent, activation enthalpy, and pre-exponential constant) of the lower wedge through forward model fits to the InSAR time-series. Our results show that the prism is elastically thin (8-12 km) and the non-linear viscoelastic relaxation of the deep portions of the prism alone can sufficiently explain the post-seismic surface deformation. Our best fitting flow-law parameters (n = 3.76±0.39, Q = 82.2±37.73 kJ mol-1, and A = 10-3.36±4.69) are consistent with triggering of low temperature dislocation creep within fluid-saturated siliciclastic rocks. We believe that the fluids necessary for this weakening originate from sedimentary underplating and/or the presence the hydrocarbons. The presence of power-law rheology within the lower wedge impacts the estimated plate coupling and the stress state in the subduction system, with respect to the conventional elastic wedge model, and hence need to be considered in future earthquake cycle models.

opencc-by-4.0May 2019View details →

Seismic analysis of the detachment and impact phases of a rockfall and application for estimating rockfall volume and free-fall height

Digital Elevation models of the Mount Granier and Mount Saint-Eynard. Mount Saint-Eynard DEMs were carried out using an Optech Ilris-LR laser scanner. Mount Granier DEMs were carried out by photogrammetry.

opencc-by-4.0Apr 2024View details →

Separation of Intrinsic and Scattering Seismic Wave Attenuation in the Crust of Central and South-Central Alaska

This dataset provides essential support for understanding the study and includes all necessary files for anyone wishing to reproduce any of the results

opencc-by-4.0Apr 2024View details →

Data and Code: Detecting Blue Whale Calls in the Northeast Pacific Using Seismic Systems (Undergraduate Thesis)

SeismoData.ipynb: This Jupyter notebook is adapted from seismosocialdistancing.ipynb created by Thomas Lecocq, Fred Massin and Claudio Satriano. SeismoData.ipynb was used to retrieve seismic waveform data from the  Incorporated Research Institutions for Seismology (IRIS) Data Management Center (DMC) (https://ds.iris.edu/ds/ nodes/dmc/) and convert files from miniSEED to SAC format. It was also used to preview waveform and spectrogram plots. BlueWhaleDetectionResults_J53A_Dec132011.mat: This .mat file summarizes whale detection results from OBS J53A on December 13th 2011. The objective was to calibrate a detection algoritm created for Northwest Atlantic blue whale A calls by Plourde and Nedimovic (2022), so that it can target Northeast Pacific blue whale B calls using seismometers off Washington and California. Three tests were performed to find optimal parameters. BlueWhaleDetections_J53A_Test1 are the detection results of a control that uses Northwest Atlantic blue whale parameters (16.25-18Hz frequency and 68-78s period ranges). BlueWhaleDetections_J53A_Test2  are the detection results using Northeast Pacific blue whale B call parameters (14-17Hz frequency and 45-55s period ranges). BlueWhaleDetections_J53A_Test2 are the detection results using Northeast Pacific blue whale B call and C call parameters (10.5-12Hz and 14-17Hz frequency and 45-55s period ranges). BlueWhaleDetections_J53A_SCC are the 95% probability detection results from the Wilcock and Hilmo (2021) blue whale catalogue created using spectrogram cross-correlation.  NEPBlueWhaleMATLABcodes.zip: Contains scripts to run the recurrence interval power ratio method created by Plourde and Nedimovic (2022), adjusted to detect Northeast Pacific blue whale B calls and plot waveforms/spectrograms. First run DetectBlueWhales.m to calculate the recurrence power ratio every 12 minutes, then run CreateBlueWhaleDetectionList.m to classify detections with high power ratios and likely blue whale call detections. BlueWhaleDetectionResults_CapeMendocino_Dec15to292014.mat: This .mat file summarizes the blue whale detection results from 2 OBS (FS02D and FS07D) and 1 land seismometer (CM09A) in close proximity, using Test 2 parameters. Note if there are less than 3 BWD in a given day, these are likely false detections.

Relocated event catalog for 2014-2024 seismicity at Campi Flegrei

Open the record for dataset details and reuse information.

Physical Features for my study on Automatic Seismic Event Classification System in Pacific Northwest (Origin time - 50, +100)

These features used the revised version of the feature extraction code. The revision involves changing the envelope filtering options and some minor modifications.

Marine seismic multichannel data collected in the Pomeranian Bay and around Rügen (southern Baltic Sea) by University of Hamburg

The dataset includes multi-channel seismic data collected during various marine student training cruises. The cruises were organized and led by the Institute of Geophysics at the University of Hamburg. The seismic sources were GI-Guns or Mini-GI-Guns from the company SODERA. The data was recorded with various analog streamer systems. All data are poststack time-migrated with suppressed seafloor multiples. All data are in SEG-Y format with CDP-coordinates at standard byte positions (UTM33) <table> <tbody> <tr> <td> Vessel </td> <td> Cruise-ID </td> <td> Year </td> </tr> <tr> <td> RV ALKOR </td> <td> AL225 </td> <td> 2003 </td> </tr> <tr> <td> RV HEINCKE </td> <td> HE217 </td> <td> 2004 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL263 </td> <td> 2005 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL562 </td> <td> 2021 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL582 </td> <td> 2022 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL605 </td> <td> 2023 </td> </tr> </tbody> </table>

opencc-by-4.0Mar 2024View details →

Shear wave velocity profiles from Italian Seismic Microzonation project

The dataset SMDB contains the shear wave velocity profiles from Italian Seismic Microzonation project (14,897 profiles). The records are: -survey id; -survey latitude and longitude in UTM33N coordinates; -survey type; -depth in meters; -shear wave velocity value (Vs) in m/s; -seismic microzonation (SM) cluster id. The file percentile_sigma_ln_vs.csv contain sigma lnvs in depth for the three percentiles 16,50,84.

Phase picker models and training data for paper "Deep learning models for regional phase detection on seismic stations in Northern Europe and the European Arctic"

This ZIP file includes tensorflow models for seismic phase detection. Please see how to use these models here: https://github.com/NorwegianSeismicArray/tphasenet The HDF5 files includes waveforms and labels which are part of the training data set (only NORSAR event catalogue and station ARA0).

opencc-by-4.0Apr 2024View details →

Dataset related to article 'The Collaborative Seismic Earth Model: Generation 2'

This repository holds 23 earthquake simulations conducted using the second generation of the Collaborative Seismic Earth Model (CSEM2, Noe et al., submitted), serving as benchmark simulations for reproducibility. The simulations are performed with the spectral-element wave propagation solver Salvus (Afanasiev et al., 2019) on event-adapted meshes (Thrastarson et al., 2020). Accompanying waveform data from the stations can be downloaded from public FDSN services and accessed via tools such as the ObsPy mass downloader (Krischer et al., 2015). Information about the earthquakes and receivers is provided in the event files. The source-time function, a filtered heaviside for 50 - 160 s, is included in 'stf.h5' for global simulations and for 20 - 160 s for regional simulations, respectively. The event and waveform information to create Figure 4 in the manuscript are the following: a) <a href="../api/records/11047927/draft/files/GCMT_event_LAKE_TANGANYIKA_REGION_Mag_6.0_2017-2-24-0.h5/content" target="_blank" rel="noopener noreferrer">GCMT_event_LAKE_TANGANYIKA_REGION_Mag_6.0_2017-2-24-0.h5</a>, stf 50 - 160 s b) <a href="../api/records/11047927/draft/files/GCMT_event_CENTRAL_CALIFORNIA_Mag_5.6_2020-6-4-1.h5/content" target="_blank" rel="noopener noreferrer">GCMT_event_CENTRAL_CALIFORNIA_Mag_5.6_2020-6-4-1.h5</a>, stf 20 - 160 s c) <a href="../api/records/11047927/draft/files/GCMT_event_CHILE-ARGENTINA_BORDER_REGION_Mag_5.7_2018-6-21-16.h5/content" target="_blank" rel="noopener noreferrer">GCMT_event_CHILE-ARGENTINA_BORDER_REGION_Mag_5.7_2018-6-21-16.h5</a>, stf 20 - 160 s Simulations for b&c are performed on smaller domains and on regular cubed-sphere meshes.

opencc-by-4.0Jun 2024View details →

Dataset and Model Files for Full Waveform Inversion Seismic Earth Model WUS324

Dataset and Model Files for Full Waveform Inversion Seismic Earth Model WUS324   Arthur Rodgers Geophysical Monitoring Program, Lawrence Livermore National Laboratory, Livermore CA 94551, USA; and Department of Earth Sciences, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland   rodgers7@llnl.gov   10.5281/zenodo.11619519   Summary This data set includes the metadata and model for the three-dimensional (3D) seismic Earth model WUS324 (Rodgers et al., 2024).  This model describes seismic wavespeeds, density and attenuation for the 3D volume spanning the surface to 400 km depth, latitudes from Mexico to Canada (28 to 52) and longitudes from the Pacific Ocean to the Great Plains (-132 to -100).  The metadata tabulates the earthquakes and seismic networks and stations used in the creation and validation of 3D seismic Earth model WUS324.   The WUS324 model is provided in NetCDF format (readable by for example, xarray, Hoyer & Hamman, <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0057">2017</a>) and HDF5 format for viewing with ParaView (Ahrens et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0002">2005</a>) and interaction with Salvus (Afanasiev et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0001">2019</a>).   References Afanasiev, M, C Boehm, M van Driel, L Krischer, M Rietmann, DA May, MG Knepley, and A Fichtner (2019). Modular and flexible spectral-element waveform modelling in two and three dimensions, Geophys. J. Int., 216(3), 1675–1692, doi: 10.1093/gji/ggy469 Ahrens, J., Geveci, B., & Law, C. (2005). Paraview: An end-user tool for large data visualization. The Visualization Handbook, 717(8). https://doi.org/10.1016/b978-012387582-2/50038-1 Hoyer, S., & Hamman, J. (2017). Xarray: N-D labeled arrays and datasets in Python. Journal of Open Research Software, 5(1). https://doi.org/10.5334/jors.148 Rodgers, A., C. Doody and A. Fichtner (2024). WUS324: Converged Full Waveform Inversion Improves Waveform Fits While Imaging Crustal and Upper Mantle Structure in the Western United States, manuscript in preparation.   Acknowledgements This work was initiated under Laboratory Directed Research and Development project 20-ERD-008 at Lawrence Livermore National Laboratory (LLNL) and continued with support from the National Nuclear Security Administration Ground-based Nuclear Detonation Detection program.  AR is grateful to the Eidgenössische Technische Hochschule, Zürich for support as an Academic Guest and to LLNL for Professional Research and Teaching Leave.  This work was performed under the auspices of the U.S. Department of Energy by LLNL under Contract DE-AC52-07NA27344.  LLNL-MI-865269.     Files contained in this data set. <table> <tbody> <tr> <td> Filename </td> <td> Description </td> </tr> <tr> <td> WUS324_all_events_project.csv </td> <td> Table of all 216 events considered during the creation of WUS324. This table includes the origin date and time, location and moment tensor parameters. </td> </tr> <tr> <td> WUS324_all_networks.txt </td> <td> Table of all seismic networks and that contributed to WUS324. </td> </tr> <tr> <td> WUS324_inversion_events.txt </td> <td> Table of the 126 event names used in the inversions that created WUS324. </td> </tr> <tr> <td> WUS324_inversion_all_paths.csv </td> <td> Table of all event-station paths that contributed to the creation of WUS324. </td> </tr> <tr> <td> WUS324_validation_events.txt </td> <td> Table of the 65 event names used in the validation of WUS324. </td> </tr> <tr> <td> WUS324_validation_all_paths.csv </td> <td> Table of all event-station paths that contributed to the validation of WUS324. </td> </tr> <tr> <td> WUS324_16sec.h5 </td> <td> WUS324 model for simulating waveforms with minimum period of 16 seconds in Salvus HDF5 format. </td> </tr> <tr> <td> WUS324_16sec.xdmf </td> <td> <pre>Auxiliary file for WUS324_16sec.h5, used to import model into Paraview.</pre> </td> </tr> <tr> <td> WUS324.nc </td> <td> <pre>WUS324 model in netCDF format following the metadata standards of the Incorporated Research Institutions for Seismology Earth Model Collaboratory</pre> </td> </tr> </tbody> </table>

opencc-by-4.0Jun 2024View details →

Crystallographic Preferred Orientation of Phase D at High Pressure and Temperature: Implications for Seismic Anisotropy in the Mid-mantle

The dataset includes the data of Crystallographic Preferred Orientation of phase D aggregates in this study. It include electron backscatter diffraction (EBSD) mapping data in .cpr and .crc file and transmission two-dimensional X-ray diffraction (2D-XRD) patterns acquired at BL04B1 beamline of synchrotron facility of SPring-8, Hyogo, Japan.

opencc-by-4.0Jun 2024View details →

Attenuation of Seismic Waves and Ground Motion Model of the Reykjanes Peninsula, Iceland

Events.csv - Location of used events Amplit_A_HOR.csv, Amplit_A_VER.csv - Acceleration amplitudes (Horizonlat/Vertical) and parameters of inversion Amplit_V_HOR.csv, Amplit_V_VER.csv - Velocity amplitudes (Horizonlat/Vertical) and parameters of inversion Amplit_D_HOR.csv, Amplit_D_VER.csv - Displacement amplitudes (Horizonlat/Vertical) and parameters for inversion