Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

82

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

82 results for “subduction zones”

Learn how ShareScore rates datasets ↗
zenodo36/100

Supplementary material: Accuracy of finite fault slip estimates in subduction zone regions with topographic Green's functions and seafloor geodesy

<p># Code attached to the manuscript entitled &quot;Accuracy of finite fault slip estimates in subduction zone regions with topographic Green&#39;s functions and seafloor geodesy&quot;</p> <p>These python scripts are for producing Figure 1 (trench-perpendicular topographic profile for regions where some megathrust earthquakes occurred) and the average topographic profile that is used in the paper.</p> <p>&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Data & scripts - The effect of temperature-dependent material properties on simple thermal models of subduction zones

<p>Data and scripts used in Van Zelst et al. (2023, Solid Earth): &#39;The effect of temperature-dependent material properties on simple thermal models of subduction zones&#39;. Includes the data and figures for the benchmark of Van Keken et al. (2008) plus the results from our code xFieldstone; processing and visualisation scripts; raw and final figures; and all results for all model runs used in the publication (as listed in Table 1 in the paper).&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Detectability of very low frequency earthquakes in Nankai subduction zone

<p><strong>How to cite this data</strong></p> <ul> <li>data DOI&nbsp;of this repository</li> <li>method and conception<br>Shunsuke Takemura, Satoru Baba, Suguru Yabe, Yusuke Yamashita, Katsuhiko Shiomi, Takanori Matsuzawa, Detectability analysis of very low frequency earthquakes: methods and application in Nankai using F-net and DONET broad-band seismometers,&nbsp;<em>Geophysical Journal International</em>, Volume 237, Issue 1, April 2024, Pages 49&ndash;63,&nbsp;<a href="https://doi.org/10.1093/gji/ggae033">https://doi.org/10.1093/gji/ggae033</a></li> </ul> <p><strong>source_meca.dat</strong></p> <p>Assumed focal mechanisms. Longitude, Latitude, depth, strike, dip, and rake are listed.&nbsp;Focal mechanisms at each source grid were assumed to be low-angle thrust faulting mechanisms from the plate geometry of Koketsu et al. (2012) and the convergence direction of NUVEL-1A (DeMets et al. 2010).</p> <p><strong>VLFEdetectability_Fnet.dat</strong></p> <p>The detectable limits of very low frequency earthquakes (VLFEs) in Nankai using F-net only.&nbsp;Longitude, Latitude, depth, and detectable limit (the lowest moment rate of detectable VLFEs) at each source grid are listed. The file with "Z" is the detectability of VLFEs using only vertical components.&nbsp;</p> <p><strong>VLFEdetectability_FnetDONET.dat</strong></p> <p>The detectable limits of VLFEs&nbsp;in Nankai using F-net and DONET.&nbsp;Longitude, Latitude, depth, and detectable limit (the lowest moment rate of detectable VLFEs) at each source grid are listed. The file with "Z" is the detectability of VLFEs using only vertical components.&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Near-field tsunami forecasting along the Cascadia subduction zone using rapid GNSS source models

<p>Data pertaining to the submitted work <em>Near-field tsunami forecasting along the Cascadia subduction zone using rapid GNSS source model</em> (2020) by Williamson et al.&nbsp; Specifically, the dataset includes (1) synthetic, generated GNSS waveforms for 1300 Cascadia rupture scenarios and (2) model outputs for every tested rapid earthquake characterization.</p>

opencc-by-4.0Feb 2020View details →
zenodo32/100

Calcium stable isotopes of Tonga and Mariana arc lavas and implications for slab fluid-mediated carbonate transfer in subduction zones

<p>The Table 1 shows Ca isotopes and selected major and trace element compositions&nbsp; of the Tonga rear arc and Mariana arc lavas.</p> <p>Supporting imformation includ Figure S1 and Table S1</p> <p>Figure S1 shows the &delta;<sup>44/42</sup>Ca&permil; versus &delta;<sup>43/42</sup>Ca&permil; in all samples and reference materials measured by Nu Plasma 1700 MC-ICP-MS in GPMR.</p> <p>Table S1 lists the major and trace element contents of NW Rota-1 and Esmeralda Bank samples from Mariana arc. Major elements are tested on board and trace elements are measured by ICP-MS in GPMR.</p>

opencc-by-4.0May 2020View details →
zenodo32/100

Data for: Electrical Conductivity of Superionic Hydrous SiO2 and the Origin of Lower-mantle High Conductivity Anomalies Beneath Subduction Zones

<p><strong>Dataset S1.</strong> Experimental conditions and the measured resistance and conductivity of hydrous Al-bearing SiO2.&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Characterizing the complexity of subduction zone flow with an ensemble of multiscale global convection models

<p>Parameter files and model input .txt files for ASPECT mantle convection simulations.</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Data files associated with the tomographic velocity model in the Alaska subduction zone

<p>For P- and S-wave arrival time data, it includes three files:</p><p>1) AK-stations: all of the stations used in the tomography</p><p>latitude, longitude, elevation(km), network name</p><p>2)Alaska-Data-P and Alaska-Data-S: seismic P and S wave arrival times</p><p>Event time, latitude, longitude, depth, total arrival times for per event</p><p>&nbsp;station, arrival time, phase</p><p>For P- and S- wave models, it includes two files:</p><p>1)Alaska-velocitymodel_Vp and Alaska-velocitymodel_Vs<br>&nbsp; &nbsp;depth, latitude, longitude, velocity perturbation(%)&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Dataset of dv/v and CC using DONET and temporary OBSs in the Nankai subduction zone

<p>This dataset contains dv/v and CC derived from ambient noise correlations using DONET and temporary OBS data. The version on March 19, 2025, replaced the data for the OBS (SHM) combinations from the first version.</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

EBSD data from Condit et al., Rheology of metasedimentary rocks at the base of the subduction seismogenic zone

<p>EBSD and raw electron microprobe data for two schist samples from the Arosa Zone, in central Switzerland</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

Aseismic and recent ruptures of persistent asperities along the Alaska-Aleutian subduction zone

<p>This&nbsp;repository contains the coseismic and afterslip distribution files&nbsp;of the&nbsp;2020 Mw .78 Simeonof Island, Alaska earthquake.&nbsp;Iif you use the dataset, please cite the following paper:</p> <p>Zhao, B., Burgmann, R., Wang, D., Zhang, J., Yu, J., &amp; Li, Q. (2022). Aseismic slip and recent ruptures of persistent asperities along the Alaska-Aleutian subduction zone.&nbsp;<em>Nature Communications</em>. https://doi.org/10.1038/s41467-022-30883-7</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

Paleomagnetic Reconstruction for the Origin of the Supra- Subduction Zone Ophiolites during the Progressive Closure of the Neotethys Ocean in Eastern Mediterranean

<p>The paleomagnetic data comprise stereonets from tilt corrected each site used for mean direction. The results contain rocks from the Hatay, Ko&ccedil;ali, G&ouml;ksun, İspendere, K&ouml;m&uuml;rhan and Guleman ophiolites as well as from the overlying sedimentary units emplaced in&nbsp; SE Anatolian region. Specimens of each site were described with its declination/inclination and MAD angles.</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Data publication for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone"

<p><strong>Abstract</strong>: b-value catalog data publication supplement for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone" (Folesky, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a>). b-vales were computed based on the IPOC seismic catalog for northern Chile (Sippl et al., 2023).&nbsp; b-values are computed only for events that have a known stress drop value, as assigned by Folesky et al., 2024. b-values are computed for the 200-1000 nearest neighbors of each event within a maximum distance of 50km using the maximum likelihood approach as implemented by T.Goebel (Geobel et al., 2017). Each seismotectonic class (Sippl et al., 2023) is processed separately. The standard deviation of the fit is obtained by 100 bootstrap iterations for each event while discarding randomly selected 10% of the neighbors.</p> <p><strong>File descriptions</strong>: table columns <br>ID, cls, Lon, Lat, Depth, Magntiude, a, b, Std<br>------------------<br>explanation<br>ID : origin time<br>cls : event class<br>Lon : longitude <br>Lat : latitude<br>Depth : depth in km<br>Magnitude : magnitude (MA)<br>a : a- value&nbsp; <br>b : b- value<br>Std : standard deviation from bootstrapping</p> <p><strong>References</strong>:</p> <p>Folesky, Jonas, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a></p> <p>Sippl, C., Schurr, B., M&uuml;nchmeyer, J., Barrientos, S., Oncken, O. (2023): Catalogue of Earthquake Hypocenters for Northern Chile from 2007-2021 using IPOC (plus auxiliary) seismic stations. <a title="Follow link" href="https://doi.org/10.5880/GFZ.4.1.2023.004" target="_blank" rel="nofollow noopener">https://doi.org/10.5880/GFZ.4.1.2023.004</a></p> <p>Folesky, J., Pennington, CN., Kummerow J., Hofman LR. (JGR: Solid Earth, 2024)&nbsp;<a href="https://doi.org/10.1029/2023JB027549">https://doi.org/10.1029/2023JB027549</a></p> <p>Goebel, T. H., Kwiatek, G., Becker, T. W., Brodsky, E. E. &amp; Dresen, G. What allows seismic events to grow big?: Insights from b-value and fault roughness analysis in laboratory stick-slip experiments. Geology 45, 815&ndash;818 (2017).</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Melting of Hydrated Subducted Lithospheric Mantle for the Origin of Ultra-Low Velocity Zones in the Cold Regions of Earth's Core-Mantle Boundary

<p>These are the datasets used in the figures. We submitted our manuscript to a peer-reviewed journal (Date: 2024-JUL-05).</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Tracing the oxidizing state and element-mobilizing fluids in continental subduction zones:Insights from the granitic melt-eclogite interface

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

SF-CMT catalog of moderate-to-large earthquakes at Japan Trench subduction zone

<p>The CMT solutions are obtained in &ldquo;Impact of offshore seismograph network and 3-D seismic velocity structure model on centroid moment tensor analysis for offshore earthquake: Application to the Japan Trench subduction zone&rdquo; by Lina Yamaya, Hisahiko Kubo, Katsuhiko Shiomi, and Shunsuke Takemura.</p> <ul> <li>Earthquakes at the Japan Trench subduction zone</li> <li>April 1, 2017 to March 31, 2024</li> <li>Mw of 5.2&ndash;7.0</li> </ul> <p>Data format: YYYY-MM-DD (JMA origin at JST), time (JMA origin at JST), &nbsp;YYYY-MM-DD<br>(JMA origin at UTC), time (JMA origin at UTC], longitude, latitude, depth, Mrr, Mtt, Mff, Mrt, Mrf, Mtf (Nm), time shift, variance reduction, Mw</p> <p>The centroid times of the SF-CMT and F-CMT solutions can be obtained by adding the time shift to the JMA origin time (columns 1 and 2, or 3 and 4).</p> <p>"SFCMT.zip" and "FCMT.zip" files include SF-CMT and F-CMT solutions for the earthquakes and station lists.</p> <p>&nbsp;</p> <p>Manuscript DOI: <a href="https://doi.org/10.1029/2024JB029944">10.1029/2024JB029944</a></p> <p>For more information, please contact the creator.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Data from the manuscript "Is the 2010 Maule Earthquake a repeating earthquake? Rupture heterogeneities and their impact on ground motion, landslides and cortical faults in Subduction Zones. "

<p>MATLAB data and codes used for the manuscript are provided. These calculate ground motion from a heterogeneous rupture, similar to the approach used in Venegas-Aravena (2024). The rupture simulation can be performed using the 'HE_B rupture.mat' code, which implements the Heterogeneous Energy-Based method (Venegas-Aravena, 2023) to model the 2010 Mw 8.8 Maule earthquake. The code for generating ground motion, 'Displacement_field.mat', calculates near-, intermediate-, and far-field displacement fields following equations 4.32 in Aki and Richards (2002) as a summation of point sources from the earthquake rupture. The subduction geometry is included in this dataset. The code can compute displacements in rho, theta, phi, direction and in east-west, north-south, and dip directions after following code instructions. Additionally, it includes a feature to add Rayleigh waves, although this was not utilized in the 2010 Maule earthquake manuscript.<br><br>A video showing the data can be seen here:&nbsp;<strong>https://youtu.be/6Zf3fgb6AGc.</strong><br><br><br>References</p> <p>Aki and Richards (2002): QUANTITATIVE SEISMOLOGY, SECOND EDITION.</p> <p>Venegas-Aravena (2023): https://doi.org/10.1515/geo-2022-0522.</p> <p>Venegas-Aravena (2024): https://doi.org/10.1007/s11069-024-06651-9.<br><br></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Fore-arc metasomatism by hybrid slab fluids during subduction initiation: Sr–Mg–Ca isotopes of rodingite, western Yarlung Zangbo suture zone

<p>&nbsp; &nbsp; Subduction zone metasomatism is critical for Earth&rsquo;s material exchanges, yet understanding slab dehydration, particularly deserpentinization beneath fore-arcs, remains challenging. Here, we present Sr&ndash;Mg&ndash;Ca isotopic data for the Purang rodingites in the western Yarlung-Zangbo suture zone (YZSZ). These rodingites, dominated by amphibolite- to greenschist-facies minerals like tremolite, magnesiohornblende, and chlorite, exhibit cumulate textures and rare earth element patterns resembling troctolites or gabbronorites, presumably formed beneath a seafloor spreading center. The rodingites are enriched in large ion lithophile elements and depleted in high field strength elements. They show higher initial <sup>87</sup>Sr/<sup>86</sup>Sr ratios (0.7067&ndash;0.7075) and elevated&nbsp; &delta;<sup>26</sup>Mg values (&ndash;0.22 &plusmn; 0.07&permil; to &ndash;0.13 &plusmn; 0.02&permil;) compared to pristine oceanic basalts, while their &delta;<sup>44/40</sup>Ca values (0.72 &plusmn; 0.02&permil; to 0.87 &plusmn; 0.03&permil;) correspond to mid-ocean ridge basalts (MORB). These features imply fore-arc mantle metasomatism of an original MOR-derived protolith at &lt;40 km slab depth, driven by Sr- and Mg-rich fluids from clay-rich sediments and serpentinitized mantle, respectively. The measured Sr and Mg isotope compositions can be reproduced by mixing a MORB-like protolith with hybrid fluids derived from 70&ndash;30% clays and 30&ndash;70% serpentinites, with a fluid-to-rock ratio of approximately 1:3&ndash;1:5. Combined with studies on YZSZ metamorphic soles, we propose this metasomatism occurred during incipient subduction of the Neo-Tethys oceanic rocks. Our studies highlight the significance of deserpentinization at shallow fore-arc mantle settings during subduction initiation and suggest that subducting slabs exhibit more varied dehydration characteristics than previously recognized.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Slip behaviors controlled by rheological and compositional properties of a two-phase mélange in subduction shear zone

<p>%%%%%%%%%%%%%%%%%%%%%%%%%%%</p> <p>mesh</p> <p>This is the mesh code for the percentage of block volume (or area in 2D) within the central mixture region, corresponding to 10%, 30%, 50%, and 60%.</p> <p>%%%%%%%%%%%%%%%%%%%%%%%%%%%</p> <p>0.005_0.2_10</p> <p>this is a typical creep case under the conditions of matrix viscosity of 10^19 Pa s , matrix RSF parameter (a-b) of 0.006 &nbsp;and block ratio of 10%</p> <p>circle_rho.m &nbsp; &nbsp;% the main code</p> <p>a_timestep.txt &nbsp;% save the timestep</p> <p>picture.m &nbsp; % Sample plotting code</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Globally Distributed Subducted Materials along the Earth's Core-Mantle Boundary: Implications for Ultra-low Velocity Zones

<p>Supplemental movie files related to the geodynamic models in our manuscript &quot;Globally Distributed Subducted Materials along the Earth&rsquo;s Core-Mantle Boundary: Implications for Ultra-low Velocity Zones&quot;</p>

opencc-by-4.0Feb 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record