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206 results for “subduction”
Data for "The effect of a weak asthenospheric layer on surface kinematics, subduction dynamics and slab morphology in the lower mantle"
<p>Dataset associated with the paper entitled "The effect of a weak asthenospheric layer on surface kinematics, subduction dynamics and slab morphology in the lower mantle" by Cerpa, N. G., Sigloch, K., Garel, F., Heuret, A., Davies, D. R., and Mihalynuk, M.</p> <p>Please, contact Nestor Cerpa (nestor.cerpa@umontpellier.fr) for additional information</p>
Output files of the 3-D thermal modeling in the Alaska subduction zonne
<p>Data products (μ'=0.01275) for ‘Temperature distribution for interplate seismic events in the Alaska subduction zone based on 3-D thermal modeling’ by Kaya Iwamoto, Nobuaki Suenaga and Shoichi Yoshioka.</p>
The Dataset for the Joint geodynamic-geophysical inversion reveals passive subduction and accretion of the Ontong Java Plateau
<p>The Dataset for the Joint geodynamic-geophysical inversion reveals passive subduction and accretion of the Ontong Java Plateau</p>
Low-fold seismic reflection data acquired across the Northern Hikurangi subduction margin and incoming Hikurangi Plateau, New Zealand
<p>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 <em>Tangaroa</em> NIWA voyage TAN1114 undertaken in 2011 by the National Institute of Water and Atmospheric Research (NIWA) and GNS Science, as part of the <em>OS2020 Northern Hikurangi Margin Geohazards</em> survey; and (2) R/V <em>Rodger Revelle</em> cruise RR1508 undertaken in 2015 by Oregon State University as part of the <em>Subduction Thrust Investigation of New Zealand using Geothermics and Seismics (STINGS)</em> 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.</p> <p> </p> <p><strong>R/V <em>Tangaroa</em> TAN1114 Seismic Data</strong></p> <p><strong>Data Acquisition:</strong> The seismic system used on R/V <em>Tangaroa</em> 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 <em>Tangaroa</em> 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.</p> <p><strong>Data Processing:</strong> 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. </p> <p>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.</p> <p> </p> <p><strong>R/V <em>Rodger Revelle</em> RR1508 Seismic Data</strong></p> <p><strong>Data Acquisition:</strong> The 2015 R/V <em>Rodger Revelle</em> 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 <em>Tangaroa</em> 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.</p> <p><strong>Data Processing: </strong>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.</p> <p> </p> <p><strong>List of files</strong></p> <p>Figure 1. TAN1114 and RR1508 seismic line locations on the northern Hikurangi margin.</p> <p>Table 1. Summary of TAN1114 recording parameters.</p> <p>Table 2. Summary of TAN1114 lines acquired and processed.</p> <p>Table 3. Summary of TAN1114 line coordinates.</p> <p>Table 4. Summary of TAN1114 seismic processing sequence.</p> <p>Table 5. Summary of TAN1114 SEG-Y trace headers.</p> <p>Table 6. Summary of RR1508 recording parameters.</p> <p>Table 7. Summary of RR1508 lines acquired and processed.</p> <p>Table 8. Summary of RR1508 seismic processing sequence.</p> <p>Table 9. Summary of RR1508 SEG-Y trace headers.</p> <p> </p> <p>Processed SEGY seismic data</p> <p>TAN1114-01.sgy</p> <p>TAN1114-02.sgy</p> <p>TAN1114-03.sgy</p> <p>TAN1114-04.sgy</p> <p>TAN1114-04A.sgy</p> <p>TAN1114-05.sgy</p> <p>TAN1114-06.sgy</p> <p>TAN1114-06A.sgy</p> <p>TAN1114-07.sgy</p> <p>TAN1114-07A.sgy</p> <p>TAN1114-08.sgy</p> <p>TAN1114-09.sgy</p> <p>TAN1114-10.sgy</p> <p>TAN1114-10B.sgy</p> <p>TAN1114-11.sgy</p> <p>TAN1114-12.sgy</p> <p>TAN1114-12T.sgy</p> <p>TAN1114-13.sgy</p> <p>TAN1114-14.sgy</p> <p>TAN1114-15.sgy</p> <p>TAN1114-16.sgy</p> <p>TAN1114-17.sgy</p> <p>TAN1114-18.sgy</p> <p>TAN1114-19.sgy</p> <p>TAN1114-20.sgy</p> <p>TAN1114-21.sgy</p> <p>TAN1114-22.sgy</p> <p>TAN1114-23.sgy</p> <p>TAN1114-A.sgy</p> <p>RR1508-HKS01_01.sgy</p> <p>RR1508-HKS01_02.sgy</p> <p>RR1508-HKS01_02A.sgy</p> <p>RR1508-HKS01_03.sgy</p> <p>RR1508-HKS01_04.sgy</p> <p>RR1508-HKS01_05.sgy</p> <p>RR1508-HKS01_05A.sgy</p> <p>RR1508-HKS01_06.sgy</p> <p>RR1508-HKS01_07.sgy</p> <p>RR1508-HKS01_08.sgy</p> <p>RR1508-HKS01_09.sgy</p> <p>RR1508-HKS01_09A.sgy</p> <p>RR1508-HKS01_10.sgy</p>
Dataset for the EPSL article: Structure and dynamics of the Tonga subduction zone: new insight from P-wave anisotropic tomography
<p>The obtained 3-D P-wave anisotropic and isotropic velocity models in the Tonga subduction zone.</p> <p>Please find this article: Z. Yu*, D. Zhao and J. Li*. Structure and dynamics of the Tonga subduction zone: New insight from P-wave anisotropic tomography. Earth and Planetary Science Letters, https://doi.org/10.1016/j.epsl.2022.117844<br> </p>
Supplemental data files for: Magnetotelluric data reveals subduction polarity and reactivation of the Mudanjiang suture zone, Northeast China
<p>Data files for a 3-D electrical resistivity model in the Mudanjiang suture zone area, including the observed MT data (the data format is for 3-D inversion using ModEM), and the preferred resistivity model.</p>
A highly depleted and subduction-modified mantle beneath the slow-spreading Mohns Ridge
<p><strong>Supplementary Information. </strong>A word file containing the supplementary information.</p> <p><strong>Table 1. </strong>An Excel spreadsheet containing whole-rock geochemical results.</p> <p><strong>Table 2. </strong>An Excel spreadsheet containing electron microprobe analysis of orthopyroxene, clinopyroxene, and Cr-spinel.</p> <p><strong>Table 3. </strong>An Excel spreadsheet containing trace element concentrations of orthopyroxene</p> <p><strong>Table 4. </strong>An Excel spreadsheet containing Nd isotopic compositions of orthopyroxene.</p> <p><strong>Supplementary Table 2. </strong>An Excel spreadsheet containing LA-ICP-MS secondary standard values.</p>
Supporting Information for "Investigation of Hikurangi subduction zone slow slip events using onshore and onshore geodetic data" PhD thesis
<p>The data sets included here are those inverted using the TDEFNODE (McCaffrey et al., 2009) inversion code in the PhD thesis "Investigation of Hikurangi subduction zone slow slip events using onshore and onshore geodetic data" to obtain geodetic slip models of the 2013-2016 and February-July 2019 periods at the Hikurangi subduction zone.</p> <p> </p> <p><em>The 2013-2016 period captured the 2013 Kāpiti and 2014/2015 Manawatū slow slip events (SSEs), in addition to the 2013 Cook Strait, 2013 Lake Grassmere, and 2014 Eketāhuna earthquakes. The data related to this model are:</em></p> <p><strong>campaign_gps_2013.ts</strong><br> -campaign GPS time series<br> -columns: Year East East_sigma North North_sigma Up Up_sigma<br> -input using TDEFNODE command ts1</p> <p><strong>coseismic_displacements_2013_07_21.ds </strong><br> -coseismic displacements for Cook Strait earthquake (Hamling et al., 2014)<br> -columns: Longitude Latitude Disp_East Disp_North Sigma_East Sigma_North Site Disp_Up Sigma_Up Time1 Time2<br> -input using TDEFNODE command ds2</p> <p><strong>coseismic_displacements_2013_08_16.ds </strong><br> -coseismic displacements for Lake Grassmere earthquake (Hamling et al., 2014)<br> -columns: Longitude Latitude Disp_East Disp_North Sigma_East Sigma_North Site Disp_Up Sigma_Up Time1 Time2<br> -input using TDEFNODE command ds2</p> <p><strong>onshore_gnss_kapiti_manawatu_2013_2016.ts</strong><br> -GNSS time series<br> -columns: Year East East_sigma North North_sigma Up Up_sigma<br> -input using TDEFNODE command ts1</p> <p><strong>LOS_coseismic_2013_08_16.is<br> -</strong>coseismic Line of Sight displacements for Lake Grassmere earthquake (Hamling et al., 2014)<br> -convention: negative displacement equivalent to ground moving towards the satellite<br> -columns: Longitude Latitude LineOfSight_disp sigma Unit_x Unit_y Unit_z<br> -input using TDEFNODE command is1</p> <p> </p> <p><em>Data related to the February-July 2019 SSE model are:</em></p> <p><strong>onshore_gnss_east_coast_sse_2019.ts</strong><br> -GNSS time series<br> -columns: Year East East_sigma North North_sigma Up Up_sigma<br> -input using TDEFNODE command ts4</p> <p><strong>seafloor_displacement_gisborne.ts</strong><br> -seafloor pressure time series<br> -convention: positive change equivalent to seafloor uplift<br> -columns: Year East East_sigma North North_sigma Up Up_sigma<br> -input using TDEFNODE command ts4</p> <p><strong>seafloor_displacement_hawkebay.ts</strong><br> -seafloor pressure time series<br> -convention: positive change equivalent to seafloor uplift<br> -columns: Year East East_sigma North North_sigma Up Up_sigma<br> -input using TDEFNODE command ts4</p> <p><strong>LOS_SSE_2019.is</strong><br> -SSE-related Line of Sight displacement<br> -convention: positive displacement equivalent to ground moving away from satellite<br> -columns: Longitude Latitude LineOfSight_disp sigma Unit_x Unit_y Unit_z<br> -input using TDEFNODE command is1</p> <p> </p> <p>The TDEFNODE manual can be found here:<br> https://robmccaffrey.github.io/TDEFNODE/manual/tdefnode_manual.html</p> <p>The header lines in the time series files (.ts) take the site inter-SSE rates from the model of Wallace et al. (2012).</p> <p> </p> <p><em>References</em></p> <p>Hamling, I. J., D’Anastasio, E., Wallace, L. M., Ellis, S., Motagh, M., Samsonov, S., Palmer, N., and Hreinsdóttir, S. (2014). Crustal deformation and stress transfer during a propagating earthquake sequence: The 2013 Cook Strait sequence, central New Zealand. <em>Journal of Geophysical Research: Solid Earth</em>, <strong>119</strong>(7):6080–6092.</p> <p>McCaffrey, R. (2009). Time-dependent inversion of three-component continuous GPS for steady and transient sources in northern Cascadia. <em>Geophysical Research Letters</em>, <strong>36</strong>(L07304).</p> <p>Wallace, L. M., Barnes, P., Beavan, J., Van Dissen, R., Litchfield, N., Mountjoy, J., Langridge, R., Lamarche, G., and Pondard, N. (2012). The kinematics of a transition from subduction to strike-slip: An example from the central New Zealand plate boundary. <em>Journal of Geophysical Research: Solid Earth</em>, <strong>117</strong>(B2).</p>
Supporting Information for the submitted manuscript by Rajič et al. The origin of tectonic mélanges and implication for the subduction interface processes
<p>Files shared here contain supporting information for the submitted manuscript by Rajič et al.</p> <p>Appendix 1 file contains Text A.1, Tables A.1-2 and Figures A.1-8.</p> <p>Appendix 2 file contains all raw Raman spectra acquired in this study, along with READ ME text file.</p>
Mantle upwelling induced by slab rollover subduction could explain widespread intraplate volcanism in Tibet
<p>Data used to generate figures published in Strak et al. (2024) in the journal Communications Earth & Environment (LINK).</p>
Synthetic dataset of 2342 earthquake/tsunami scenarios targeting the Nankai trough subduction zone
<h2>Summary:</h2> <ul> <li>Data of 2342 hypothetical Nankai Trough events</li> <li>Tsunami propagation is simulated by the GeoClaw software (Clawpack Development Team, 2021).</li> <li>Earthquake realizations generated by the Mudpy software (Melgar, 2020).</li> <li>Data composition is as follows:<br><code>nankai_data</code><br><code>├── quakes</code><br><code>│ ├── dtopofiles</code><br><code>│ │ ├── nankai_xy_zzzzzz.dtt3</code><br><code>│ │ ├── ...</code><br><code>│ ├── png</code><br><code>│ │ ├── nankai_xy_zzzzzz_slip_dtopo.png</code><br><code>│ │ ├── ...</code><br><code>│ └── ruptures</code><br><code>│ ├── nankai_xy_zzzzzz.log</code><br><code>│ ├── nankai_xy_zzzzzz.rupt</code><br><code>│ ├── ...</code><br><code>├── waves</code><br><code>│ ├── nankai_xy_zzzzzz.csv </code><br><code>│ ├── ...</code><br><code>├── gauge_loc.csv</code><br><code>└── wave_seq.npy</code></li> </ul> <h2>Details of each file:</h2> <p>Unzipping `nankai_data.tar.gz` creates two directories and two file: `quakes/`, `waves/`, `gauge_loc.csv` and `wave_seq.npy`.<br>Note that 8 GB of additional storage is required. </p> <ul> <li> <h3>quakes/</h3> Earthquake data of 2342 scenarios. <ul> <li>quakes/dtopofiles/nankai_xy_zzzzzz.dtt3<br>Seafloor deformation of each scenario<br>Mw: x.y, ID: zzzzzz</li> <li>quakes/ruptures/<br>nankai_xy_zzzzzz.rupt stores the rupture for each scenario.<br>nankai_xy_zzzzzz.log has information about the rupture.</li> <li>quakes/png/nankai_xy_zzzzzz_slip_dtopo.png<br>The slip distribution and seafloor deformation due to fault rupture are visualized in PNG format.<br><br></li> </ul> </li> <li> <h3>waves/</h3> <p>2342 .csv files contain time series data of simulated tsunami wave heights<br>The left column has the time (minute) elapsed from the fault rupture<br>The following columns have the wave sequences recorded at each gauge<br>Each file has 2160 rows corresponding to the simulation time steps, 3 [hr] x 3600 [sec/hr] / 5[sec] = 2160.<br><br></p> </li> <li> <h3>gauge_loc_all.csv</h3> The locations of 62 synthetic gauges<br>Gauge IDs are in the left column named ID.<br>The gauge locations are in Longitude and Latitude columns.<br>Some of the synthetic gauges are set by referring to the locations of existing gauges, as shown in the Instruments column.<br><br></li> <li> <h3>wave_seq.npy</h3> Data matrix containing the wave sequences. <br> Loading this binary data by <br> numpy.load('wave_seq.npy') <br> gives a 2342 x 62 x 2160-shaped 3d array.</li> </ul> <p> </p>
Subduction history reveals Cretaceous slab superflux as a possible cause for the mid-Cretaceous plume pulse and superswell events: scripts and data
<p>The files provided here supplement the following article which has been conditionally accepted to Gondwana Research:</p> <p>'Subduction history reveals Cretaceous slab superflux as a possible cause for the mid-Cretaceous plume pulse and superswell events'</p> <p>Both the scripts used to generate the work presented in the study, as well as the data/results, have been included in the attached zipped folders.</p>
Porphyry copper formation driven by water-fluxed crustal anatexis during flat-slab subduction
<p><span>Supplemtary Data used in the study entitled 'Lamont et al. (2024) Porphyry copper formation driven by water-fluxed crustal anatexis during flat-slab subduction, Nature Geoscience'.</span></p> <p><span>A compilation of geochronology (U–Pb and Ar-Ar and K-Ar) for intrusive and extrusive igneous rocks, mineralization and porphyry copper deposits, and timing of shortening and extension is provided in Supplementary Table S1. Whole rock geochemical data from igneous rocks in Arizona is provided in Supplementary Table 2. A compilation of Nd, Pb and Hf in zircon isotopes, and two-stage model ages from the SW USA and NW Mexico is provided in Supplementary Table S3. Electron-probe microanalysis data for samples TLAZ22-08 and TLAZ22-167 are in Supplementary Table S4. Thermobarometry Results are provided in Supplementary Table S5. In-situ Rb-Sr Geochronology Results are provided in Table S6, whereas U–Th–Pb Monazite Geochronology Results are provided in Supplementary Table S7. <span> </span></span></p>
Insights into subduction-zone fluid-rock interactions and carbon recycling from magnesium isotopes of subducted ophiolitic mélanges in the Arabian-Nubian Shield
<p><span>Table S1:</span><span> Major element concentrations (in wt%) and Mg isotopic compositions (‰) for the ANS subducted ophiolitic mélanges.</span></p> <p><span>Table S2: Trace element concentrations (ppm) for the ANS subducted ophiolitic mélanges.</span></p>
Catalog of Earthquake Swarms in the Middle America Subduction Zone (2001-2024)
<p>This dataset contains the catalog of earthquake swarms in the Middle America subduction zone from January 2001 to March 2024.</p>
2D visco-elasto-plastic subduction models in the presence of a high density and viscosity continental block
<p>Three main models with different rheological conditions and density are incorporated for an imposed intrusion between the upper and lower continental crust. Output files for a model with a crust without intrusions are also incorporated.</p> <p>The file contains data on the conditions of plate motion velocity, plate age, plate thickness in Excel (Input_Data_Age_Vel.xlsx), a table with the rheology used to reproduce different numerical models incorporating the intrusion (Table_S3.pdf), and a file High_density_materials.m showing the construction of the intrusion within the continental crust.</p> <p>High_density_materials.m m should be imposed on the original I2ELVIS code provided by Taras Gerya - ETH Zürich, Institut für Geophysik, Switzerland - email: taras.gerya@erdw.ethz.ch</p> <p>The file has the main time steps as a function of temperature, viscosity, density and rock composition into the folders. If you want to visualize them please run the following Script PLOT_OUTPUT_DATA.m where,</p> <p>str=string(2040), represent the time_step</p> <p>Files are organized in a matrix form, each folder has the</p> <p>grid_x :coordinate matrix, <br>gridy_: coordinate matrix, </p> <p>matrix_temperature_, density and viscosity.</p> <p>To plot the Rock composition.</p> <p>mx and my, tracer coordinates in x-direction and y-direction<br>matrix_markcom is matrix tracers.</p> <p> </p> <p>Model 1</p> <p>(Time step= 10= 14.99 Ma, 120= 14 Ma, 310= 12 Ma, 670 = 9 Ma, 1120 = 6 Ma, 1620 = 3 Ma, 2040 = 0 Ma)</p> <p> </p> <p>The temperature, viscosity, density, and rock composition for the PHS slab are shown in this animation for Model 1. <br>This model is reproduced under the conditions of plate motion velocity and age from Figure 3 with an initial dip angle for the weak zone of 20°. <br>The high density material between the upper and lower crust in the vicinity of the slab is not included in Model 1. <br>The model evolves over a period of the last 15 Myr and shows a shallow subduction. </p> <p><br>Model 2</p> <p>(Time step= 10= 14.99 Ma, 120= 14 Ma, 380= 12 Ma, 850 = 9 Ma, 1490 = 6 Ma, 2090 = 3 Ma, 2540 = 0 Ma)</p> <p>With high density block<br>The temperature, viscosity, density, and rock composition for the PHS slab are shown in this animation for Model 2. This model is reproduced under the conditions of plate motion velocity and age from Figure 3 with an initial dip angle for the weak zone of 20°. The high density material between the upper and lower crust in the vicinity of the slab is included in Model 2. The model evolves over a period of the last 15 Myr and shows a steep subduction.</p> <p><br>Model 3</p> <p>(Time step= 10= 14.99 Ma, 120= 14 Ma, 310= 12 Ma, 670 = 9 Ma, 1120 = 6 Ma, 1690 = 3 Ma, 2040 = 0 Ma)</p> <p>Without high density block and high viscosity</p> <p>The temperature, viscosity, density, and rock composition for the PHS slab are shown in this animation for Model 3. This model is reproduced under the conditions of plate motion velocity and age from Figure 3 with an initial dip angle for the weak zone of 20°. The initial high viscosity material and without high density between the upper and lower crust in the vicinity of the slab is included in Model 3. The model evolves over a period of the last 15 Myr and shows subduction with a high dip angle. </p> <p><br>Model4</p> <p>(Time step= 10= 14.99 Ma, 120= 14 Ma, 330= 12 Ma, 770 = 9 Ma, 1190 = 6 Ma, 1640 = 3 Ma, 2040 = 0 Ma)<br> <br>With high density block and high viscosity<br>The temperature, viscosity, density, and rock composition for the PHS slab are shown in this animation for Model 4. This model is reproduced under the conditions of plate motion velocity and age from Figure 3 with an initial dip angle for the weak zone of 20°. The high density and high viscosity material between the upper and lower crust in the vicinity of the slab is included in Model 4. The model evolves over a period of the last 15 Myr and shows a steep subduction</p>
Model data repository of "The role of sediment accretion and buoyancy on subduction dynamics and geometry"
<p>This dataset contains the code and data used in Brizzi et al. (2021): The role of sediment accretion and buoyancy on subduction dynamics and geometry</p>
A 3-D kinematic ThermoMechanical model of the Central Andes Subduction Zone at 18°-26°S.
<p>These files contain physical parameters obtained with the preferred thermomechanical model presented in the paper:</p> <p><strong>J. Araya Vargas, J. Sanhueza & G. Yáñez (2021). The role of temperature in the along-margin distribution of volcanism and seismicity in subduction zones: insights from 3-D thermomechanical modelling of the Central Andean margin. Tectonics, 40(11), e2021TC006879. 10.1029/2021TC006879</strong></p> <p>The README file contains a description of the files, coordinate reference system, and a summary of the modeling setup. The detailed description of the employed thermomechanical modeling methodology is provided in the main text and Supporting Information of Araya Vargas, Sanhueza & Yáñez (2021).</p> <p>FILES:</p> <p>SZAndes18s26sTMmodel_temp.csv: whole model temperature<br> SZAndes18s26sTMmodel_dP.csv: mantle flow dynamic pressure.<br> SZAndes18s26sTMmodel_vx.csv: mantle flow velocity, X-axis component.<br> SZAndes18s26sTMmodel_vy.csv: mantle flow velocity, Y-axis component.<br> SZAndes18s26sTMmodel_vz.csv: mantle flow velocity, Z-axis component.</p> <p>DATABASES FIELDS:<br> pMPa = mantle flow dynamic pressure [MPa].<br> tempC = whole model temperature [°C].<br> VXmmyr = mantle flow velocity, X-axis component [mm/yr].<br> VYmmyr = mantle flow velocity, Y-axis component [mm/yr].<br> VZmmyr = mantle flow velocity, Z-axis component [mm/yr].<br> Xkm = X-axis position [km]. World Mercator coordinate system [EPSG code: 54004].<br> Ykm = Y-axis position [km]. World Mercator coordinate system [EPSG code: 54004].<br> Zkm = Z-axis position [km]. Z-coordinate is reported as height from the mean sea level.</p>
Deep Subduction Versus Collision Cessation: The Fate of Continental Collisional Orogens
<p>Deep Subduction Versus Collision Cessation: The Fate of Continental Collisional Orogens</p>
Simulation outputs required to generate figures for "Modeling Multi-Scale Deformation Cycles in Subduction Zones with a Continuum Visco-Elastic-Brittle Framework"
<p>This file contains all of the model simulation outputs necessary to produce the figures for the paper "Modeling Multi-Scale Deformation Cycles in Subduction Zones with a Continuum Visco-Elastic-Brittle Framework".</p> <p>Below are the details of which file is required to produce which figure:</p> <p> </p> <p><strong>Figure 5 (De_dam_fields.pdf) </strong></p> <p><a href="https://zenodo.org/api/files/3150cf22-7ee4-4f5a-9cd4-b420ee0dbd91/De_dam_We_0_001_dt_10_5_th_10_10_alpha_4_ddam_10.tar.gz">De_dam_We_0_001_dt_10_5_th_10_10_alpha_4_ddam_10.tar.gz</a></p> <p> </p> <p><strong>Figure 6 (convergence.pdf)</strong></p> <p><a href="https://zenodo.org/api/files/3150cf22-7ee4-4f5a-9cd4-b420ee0dbd91/comp_dt_We_0_001_th_10_10_alpha_4_ddam10.tar.gz">comp_dt_We_0_001_th_10_10_alpha_4_ddam10.tar.gz </a></p> <p>Contains 4 files, each one for a different temporal resolution (delta t).</p> <p> </p> <p><strong>Figure C1 (convergence2.pdf, appendix)</strong></p> <p><a href="https://zenodo.org/api/files/3150cf22-7ee4-4f5a-9cd4-b420ee0dbd91/comp_dt_We_0_1_th_10_9_alpha_4_ddam10.tar.gz">comp_dt_We_0_1_th_10_9_alpha_4_ddam10.tar.gz </a></p> <p><a href="https://zenodo.org/api/files/3150cf22-7ee4-4f5a-9cd4-b420ee0dbd91/comp_dt_We_10_th_10_8_alpha_4_ddam10.tar.gz">comp_dt_We_10_th_10_8_alpha_4_ddam10.tar.gz </a></p> <p>Each contains 4 files, one for each temporal resolution (delta t).</p> <p> </p> <p><strong>Figure 7 (CPU_time.pdf)</strong></p> <p>No simulation output file: all of the necessary information (CPU times) are included in the associated MATLAB code, available in the Github repository.</p> <p> </p> <p><strong>Figure 8 (T_h.pdf)</strong></p> <p><strong>Left panels, a, c, e</strong></p> <p><a href="https://zenodo.org/api/files/3150cf22-7ee4-4f5a-9cd4-b420ee0dbd91/comp_th_We_0_001_dt_10_5_alpha_4_ddam_10.tar.gz">comp_th_We_0_001_dt_10_5_alpha_4_ddam_10.tar.gz </a></p> <p><a href="https://zenodo.org/api/files/3150cf22-7ee4-4f5a-9cd4-b420ee0dbd91/comp_th_We_0_1_dt_10_4_alpha_4_ddam_10.tar.gz">comp_th_We_0_1_dt_10_4_alpha_4_ddam_10.tar.gz </a></p> <p><a href="https://zenodo.org/api/files/3150cf22-7ee4-4f5a-9cd4-b420ee0dbd91/comp_th_We_10_dt_10_3_alpha_4_ddam_10.tar.gz">comp_th_We_10_dt_10_3_alpha_4_ddam_10.tar.gz </a></p> <p>Each contains 4 files, one for each healing time (T_h)</p> <p><strong>Right panels, b, d, f</strong></p> <p>comp_th_We_0_001_dt_10_5_th_10_11_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_0_001_dt_10_5_th_10_10_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_0_001_dt_10_5_th_10_9_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_0_001_dt_10_5_th_10_8_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_0_1_dt_10_4_th_10_11_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_0_1_dt_10_4_th_10_10_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_0_1_dt_10_4_th_10_8_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_10_dt_10_3_th_10_11_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_10_dt_10_3_th_10_10_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_10_dt_10_3_th_10_9_alpha_4_ddam_10.tar.gz</p> <p>comp_th_We_10_dt_10_3_th_10_8_alpha_4_ddam_10.tar.gz</p> <p>Each contains 5 files, for 5 different realisations of the model simulations (same parameters, different initial noise on cohesion)</p> <p> </p> <p><strong>Figure 9 (comp_ddam_We_0_001.pdf)</strong></p> <p>comp_ddam_We_0_001_dt_10_5_th_10_10.tar.gz</p> <p>One file for each alpha value (2, 3, 4, 6, 8), one file for each delta d value (0.1, 0.3, 0.5, 0.7, 0.9)</p> <p> </p> <p><strong>Figure 10 (comp_ddam_We_0_1.pdf)</strong></p> <p>comp_ddam_We_0_1_dt_10_4_th_10_9.tar.gz</p> <p>One file for each alpha value (2, 3, 4, 6, 8), one file for each delta d value (0.1, 0.3, 0.5, 0.7, 0.9)</p> <p> </p> <p><strong>Figure 11 (discussion.pdf)</strong></p> <p>u_sfc_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_10.tar.gz</p> <p>u_sfc_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_50.tar.gz</p> <p> </p> <p><strong>SI movie</strong></p> <p>SI_movie.tar.gz</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.