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98 results for “Lithosphere”
Three-dimensional thermal structure of East Asian continental lithosphere
<p>This data set includes 3 supplement data files and 1 readme file for 3D thermal structure of East Asian continental lithosphere. </p>
Upper lithospheric structure of northeastern Venezuela from joint inversion of surface wave dispersion and receiver functions
<p>Dataset from the publication: <strong>Upper lithospheric structure of northeastern Venezuela from joint inversion of surface wave dispersion and receiver functions</strong>. DOI: <a href="https://doi.org/10.5194/egusphere-2022-230">10.5194/egusphere-2022-230</a></p> <p> </p> <p>Includes: <em><strong>EGFs, Dispersion Curves measurements, RFs, Vs3dmodel and Moho depths</strong></em></p> <p> </p>
Likelihood maps of East Antarctic lithospheric domain boundaries.
<p>The first public version of maps generated by the methods described by Stål et al (to submit 2019). </p> <p>Updated with SCons sconstruct file containing all code used for the study. </p>
Gravity modeling of the Alpine lithosphere affected by magmatism based on seismic tomography
<p>The Southern Alpine regions have been affected by several magmatic and volcanic events between the Paleozoic and the Tertiary. This activity has undoubtedly had an important effect on the density distribution and structural setting at lithosphere scale. Combining the information from gravity field and a high-resolution seismic tomography has been carried out a new 3D lithosphere density model of the Alpine region.</p>
Lithospheric architecture of the Paranapanema Block and adjacent nuclei using multiple-frequency P-wave seismic tomography
<p>We provide: the tomographic model for dephts 68 to 768 km as text files, where the first column is the longitude, the second is the latitude and the third if the velocity perturbation; the proposed limits for the Paranapanema Block, Luiz Alves Craton and Rio Apa Craton as a csv file (Figure 12 of the paper), where the first column is the name of the feature, the second is the longitude and the third is the latitude; and the abstract for the paper "Lithospheric architecture of the Paranapanema Block and adjacent nuclei using multiple-frequency P-wave seismic tomography".</p>
Earthquakes unveil the global-scale fractality of the lithosphere
<p>The repository contains the post-processed data required to produce the figures of the article entitled <i>"Earthquakes unveil the global-scale fractality of the lithosphere"</i> under consideration in Communications Earth & Environment.</p><p>Data are divided in directories, each corresponding to an article figure and numbered accordingly.</p>
3D Adjoint tomography model of the Italian lithosphere
<p>The project IMAGINE_IT (PI Dr. Dimitri Komatitsch) received 40 million CPU-hours on the Tier-0 GENCI/TGCC CURIE supercomputer as a winner of the 9<sup>th</sup> PRACE consortium call (2014). </p> <p>The awarded computational resources allowed us to construct a new 3D tomographic model for the Italian lithosphere, <em>Im25</em>,<em> </em>by combining spectral-element three-dimensional wavefield simulations and an adjoint-state method.</p> <p>To obtain the final model <em>Im25, </em>we performed 25 adjoint tomography iterations and two source inversion iterations for the initial wavespeed model and an intermediate one.</p> <p>The 3D model <em>Im25</em> resolves P- and S-wavespeed values in the Italian lithosphere for frequencies up to ~0.1 Hz (i.e., periods down to ~10 s). It provides improved images of the subsurface of the peninsula and its neighborhood, highlighting the complex structure of the Adriatic plate on the east of the Italian coast, the debated plumbing system of Mount Etna volcano, and the distribution of fluids and gas (CO<sub>2</sub>) in correlation with the Italian seismicity. </p> <p>The obtained <em>V<sub>p</sub></em> and <em>V<sub>s</sub></em><sub> </sub>models are in agreement with high resolution models developed by classical tomography studies in Italy at local scale, and the retrieved <em>V<sub>p</sub></em>/<em>V<sub>s</sub></em> values correspond to the interpretations on fluids and gas distribution in the Italian subsurface from studies in various geophysical fields. The <em>V<sub>s</sub></em> <em>Im25</em> model also compares favorably with <em>V<sub>s</sub></em> profiles extracted from other studies that use different techniques and datasets, and focus on specific zones of Italy.</p> <p>The provided dataset contains the values of <em>V</em><sub><em>p</em></sub> and <em>V<sub>s</sub></em> (in m/s) for model <em>Im25</em> at each point of the geometrical grid used to discretize the study volume.</p>
A Global Plate Model Including Lithospheric Deformation Along Major Rifts and Orogens Since the Triassic
<p>Global deep‐time plate motion models have traditionally followed a classical rigid plate approach, even though plate deformation is known to be significant. Here we present a global Mesozoic–Cenozoic deforming plate motion model that captures the progressive extension of all continental margins since the initiation of rifting within Pangea at ~240 Ma. The model also includes major failed continental rifts and compressional deformation along collision zones. The outlines and timing of regional deformation episodes are reconstructed from a wealth of published regional tectonic models and associated geological and geophysical data. We reconstruct absolute plate motions in a mantle reference frame with a joint global inversion using hot spot tracks for the last 80 million years and minimizing global trench migration velocities and net lithospheric rotation. In our optimized model, net rotation is consistently below 0.2°/Myr, and trench migration scatter is substantially reduced. Distributed plate deformation reaches a Mesozoic peak of 30 × 106 km2 in the Late Jurassic (~160–155 Ma), driven by a vast network of rift systems. After a mid‐Cretaceous drop in deformation, it reaches a high of 48 x 106 km2 in the Late Eocene (~35 Ma), driven by the progressive growth of plate collisions and the formation of new rift systems. About a third of the continental crustal area has been deformed since 240 Ma, partitioned roughly into 65% extension and 35% compression. This community plate model provides a framework for building detailed regional deforming plate networks and form a constraint for models of basin evolution and the plate‐mantle system.</p> <p> </p> <p>The agegrids associated with this model can be accessed at: <a href="https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Muller_etal_2019_Tectonics/" target="_blank" rel="noopener">https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Muller_etal_2019_Tectonics/</a></p>
Teleseismic P-wave Tomography Beneath the Pantanal, Paraná and Chaco-Paraná Basins, SE South America: Delimiting Lithospheric Blocks of the SW Gondwana Assemblage.
<p>Tomographic data set for different depths (CSV-files with Longitude, Latitude anda Velocity Perturbation in percentage), Interpreted limit of the São Francisco Paleocontinent and the Abstract for the paper "Teleseismic P-wave Tomography Beneath the Pantanal, Paraná and Chaco-Paraná Basins, SE South America: Delimiting Lithospheric Blocks of the SW Gondwana Assemblage." submitted to Journal of Geophysical Research: Solid Earth.</p>
Dataset for "Deflected Mantle Flow and Shearing-aligned Lithospheric Melt under the Strike-slip Dead Sea Rift"
<p>Dataset 1: All of the individual shear-wave splitting measurements in the Dead Sea rift, including 1855 A and B measurements and 1088 Null measurements</p> <p>Dataset 2: Three component seismic waveforms used for shear-wave splitting measurement, for PKS, SKKS, and SKS, respectively</p> <p>Dataset 3: Earthquake catalogue with magnitude Mb 2.6 or above in the Dead Sea rift. Downloaded from the International Seismological Centre (https://www.isc.ac.uk/)</p> <p> Reference: International Seismological Centre (2024), On-line Bulletin, [Dataset] doi:10.31905/D808B830</p> <p>Dataset 4: Holocene Volcano List. Downloaded from Global Volcanism Program (https://volcano.si.edu/volcanolist_holocene.cfm)</p> <p> Reference: Global Volcanism Program, 2024. Volcanoes of the World (v. 5.2.2; 22 Aug 2024). Distributed by Smithsonian Institution, compiled by Venzke, E. [Database] doi:10.5479/si.GVP.VOTW5-2024.5.2</p>
Supplementary Files for "Geodetic constraints on cratonic microplates and broad strain during rifting of thick Southern African lithosphere"
<p>This repository contains the supplementary files and tables for the manuscript:</p> <p><strong>Geodetic constraints on cratonic microplates and broad strain during rifting of thick Southern African lithosphere</strong></p> <p><strong>L. N. J. Wedmore<sup>1</sup>, Biggs, J.<sup>1</sup>, Floyd, M.<sup>2</sup>, Fagereng, Å.<sup>3</sup>, Mdala, H.<sup>4</sup>, Chindandali, P.<sup>5</sup>, Williams, J.<sup>3</sup>, Mphepo, F.<sup>4</sup></strong></p> <p><sup>1</sup>School of Earth Sciences, University of Bristol, Bristol, UK</p> <p><sup>2</sup>Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA</p> <p><sup>3</sup>School of Earth and Environmental Sciences, Cardiff University, Cardiff, UK</p> <p><sup>4</sup>Geological Survey Department, Mzuzu Regional Office, Mzuzu, Malawi</p> <p><sup>5</sup>Geological Survey Department, Zomba, Malawi</p> <p>This manuscriptis published in Geophysical Research Letters: <a href="https://doi.org/10.1029/2021GL093785">https://doi.org/10.1029/2021GL093785</a></p> <p>Please contact the author (luke.wedmore@bristol.ac.uk) for more information.</p> <p> </p> <p>File Information</p> <p>File S1 – Table of GNSS station velocities for the combined southern Malawi/GeoPRISMS/Saria et al. (2014) solution in the ITRF14 reference frame.</p> <p>File S2 – Table of GNSS station and the references for the data used in this paper.</p> <p>File S3 – Details of the sites used for the two-plate test and the results of this inversion.</p> <p>File S4 – Details of the sites used for the three-plate test and the results of this inversion.</p> <p>File S5 – A sig_neu command file with details of the random noise added to outlier sites within GLOBK.</p>
Supplementary data to "Destruction and regrowth of lithospheric mantle beneath large igneous provinces"
<p>Database files to accompany "<em>Destruction and regrowth of lithospheric mantle beneath large igneous provinces</em>", By <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">Stephenson et al. (2023)</a>. The article can be accessed by following <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">this permanent link</a>.</p> <p>The primary resources in this database are (i) estimates of melt equilibration pressure and temperature calculated using the scheme of <a href="https://github.com/fmcnab/meltPT">McNab & Ball (2023)</a>; (ii) a database of lithospheric thickness estimates beneath modern intraplate magmatic provinces using geochemical and seismological techniques; (iii) a database of the outlines and ages of large igneous provinces, substantially updated from <a href="http://https://doi.org/10.1029/93RG02508">Coffin & Eldholm (1994)</a>, and <a href="https://doi.org/10.5670/oceanog.2006.13">Coffin et al. (2006)</a>; (iv) a database of large igneous province eruption centres; and (v) a document of references used to build these databases. Files are numbered as in the Supplementary Information of <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">the paper.</a> Please see below for more details.</p> <ol> <li><strong>Data S1</strong>. A database of global geochemical compositions of mafic intraplate magmatic rocks compiled by <a href="http://doi.org/10.1038/s41467-021-22323-9">Ball et al (2021)</a>, and corresponding estimates of melt equilibration pressure and temperature P<sub>eq</sub> and T<sub>eq</sub>, respectively; <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">this study</a>). Note that authors should cite <a href="http://doi.org/10.1038/s41467-021-22323-9">Ball et al. (2021)</a> in reference to the global geochemical database. They should cite <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">Stephenson et al (2023)</a> in reference to the global equilibration pressure and temperature estimates, in which case they should also cite <a href="http://github.com/fmcnab/meltPT">McNab & Ball (2023)</a>, whose software was used to calculate P<sub>eq</sub> and T<sub>eq</sub>.</li> <li><strong>Data S2</strong>. A spreadsheet containing modern-day lithospheric thickness estimates beneath modern intraplate provinces. For complete references to geochemical analyses contained in this database, please see <a href="https://doi.org/10.1038/s41467-021-22323-9">Ball et al (2021)</a>. The database includes lithospheric thickness estimates obtained <ul> <li>by exploiting melt equilibration pressure and temperature <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">(this study)</a>;</li> <li>by inverse modelling of rare earth element compositions <a href="https://doi.org/10.1038/s41467-021-22323-9">(Ball et al., 2021)</a>; and</li> <li>from the lithospheric thickness model of<a href="https://doi.org/10.1038/s41561-020-0593-2"> Hoggard et al. (2020)</a>, which is based upon the tomographic model of <a href="https://doi.org/10.1093/gji/ggt095">Schaeffer & Lebedev (2013)</a>.</li> </ul> </li> <li><strong>Data S3</strong> & <strong>S4</strong>. A database containing outlines of magmatic provinces dating back to 750 Ma, including <ul> <li>a directory (Data_S3.zip) containing the unfiltered database shape files (lips.shp, lips.shx, lips.dbf, lips.cpg). This directory also contains the same data in a multisegment text file for plotting in the Generic Mapping Tools (polys_ID_age_unfiltered.dat) in which each polygon is separated by '>' where the header indicates polygon ID and time since eruption. And</li> <li>a database filtered for final magmatic event in a given location (Data_S4.dat), where each polygon header also contains '>' ID age polygon_area'. See <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">the paper</a> for methodological details.</li> </ul> </li> <li><strong>Data S5</strong>. A database of located LIP eruption centres.</li> <li><strong>Data S6</strong>. A pdf document of references. The document includes <ul> <li>references used to update locations and ages of the large igneous province database of <a href="http://doi.org/10.5670/oceanog.2006.13">Coffin et al. (2006)</a>;</li> <li>references for existing lithospheric thickness models used test our observed LAB depth as a function of time relationship; and</li> <li>references used to locate the eruption centres of mantle plumes (i.e. Data S5; <a href="http://www.science.org/doi/10.1126/sciadv.adf6216">this study</a>).</li> </ul> </li> </ol>
Data repository for the paper "Tectonics and seismicity in the Northern Apennines driven by slab retreat and lithospheric delamination"
<p>Output data from a numerical modeling study analyzing the Tectonics and seismicity of the Northern Apennines in relation to the geodynamic mechanism (slab retreat and crustal delamination) suggested to be driving the orogenic system.</p> <p>Understanding how long-term subduction dynamics relates to short-term seismicity and crustal tectonics is a challenging but crucial topic in seismotectonics. We attempt to address this issue in the context of the Northern Apennines orogenic belt, which displays characteristic tectonic and seismogenic behaviors on a wide range of spatiotemporal scales. We use a visco-elasto-plastic seismo-thermo-mechanical (STM) modeling approach with a realistic 2D setup based on available geological and geophysical data. In accordance with regional geodynamics, subduction dynamics and seismicity are simulated together, driven solely by slab pull. Our numerical experiments suggest that lower crustal rheology and lithospheric mantle temperatures modulate the crustal tectonics of the Northern Apennines. Results indicate that the observed spatial distribution of the upper crustal tectonic regimes requires buoyant and highly ductile material beneath the suture zone. This allows protrusion of the asthenosphere in the lower crust, lithospheric delamination, and slab retreat. The resulting horizontal velocities and principal stress axis orientations agree with observations, suggesting that slab delamination and retreat are compatible with regional deformation. Our simulations successfully reproduce the presence of seismicity in the thrust front and on normal faults in the interior of the range. Slab temperatures and lithospheric mantle stiffness distinctly affect the cumulative seismic moment release and the spatial distribution of upper crustal earthquakes. The properties of deep, sub-crustal material are thus shown to influence model shallow seismicity, even though the upper crust is largely mechanically decoupled from the lithospheric mantle. Our simulations therefore highlight the important effect of deep crustal rheologies and self-driven subduction dynamics in controlling the shallow, brittle deformation and related seismicity during an ongoing orogeny.</p> <p>The repository consists of the following: 1) the executable code for running the model (i2_istm and in2_istm, the latter of which is used to initialise the model); 2) the setting files for which timesteps to output (mode.t3c and mode_istm.t3c, the latter of which is for the short-term phase of the model), the model setting files (init_istm.t3c), rock type and temperature setup images (prf_app.tif and tfin.tif, respectively); and 3) the output quantities in the model for the last timestep in HDF5 format (app400.gzip.h5), the list of ruptured markers (pick_events_app.txt) and GPS-station-like markers at the surface (eachdt_gpsmarker_app.txt), and the time limits used for computing average velocities from the GPS marker positions (timelims.mat).</p> <p>The files used for the figures in the paper relate to the reference model and 9 other models: 2 models with different rheology for the Adriatic lower crust, 2 models with different temperatures in the mantle, and 5 models with different shear modulus in the Adriatic lithospheric mantle. The two models with different lower crust rheology (granulite and plagioclase) were not run in short-term mode and therefore no GPS-like or ruptured markers logs are available for them. Descriptive prefixes are used to identify which model each file refers to. The rock type setup is common to all models included here. The reference temperature setup is also used for the models with different shear modulus in the slab and the model with granulite lower crust rheology. The model with plagioclase lower crust rheology has a different temperature setup with a hotter lower crust, as mentioned in the paper; it is not a simple exploration of the effect of rheology, but an attempt to get the lower crust to be very ductile through a combination of a ductile rheology (but less so than in the reference model) and high temperatures.</p> <p>For information about the modeling code, setup, results, and interpretation, please refer to the paper. This repository will be updated with the final paper information after publication.</p>
Research data supporting for Stress-induced amorphization triggers deformation in the lithospheric mantle
<p>Original TEM micrographs used to prepare the figures of the article</p>
Lamb et al. (2020): Global Whole Lithosphere Isostasy datasets
<p>Model outputs from Lamb, S., Moore, J., Perez-Gussinye, M., Stern, T. (2020). Global whole lithosphere isostasy: implications for surface elevations, structure, strength and densities of the continental lithosphere, Geochem, Geophys, Geosyst., doi :10.1029/2020GC009150</p> <p>Data sets supplied here are the outcome of modelling described in the text. Files are given in either ASCII or GMT grd format.</p> <p>Data Set S1 (ds01.grd). Gridded crustal model of Antarctica based on whole lithosphere isostasy described in this study, and used to construct Figure 7c. Data columns are: x distance, y distance, crustal thickness. In GMT grd format with bounds in km -R-3000/3000/-3000/3000 -I5. Uses same projection as Bedmap 2 - see Fretwell et al. (2013) for details of projection. Suggested colour palette in GMT: seis -T0/60/2.5 -I</p> <p>Data Set S2 (ds02.xyz). Average elevation and crustal thickness of continental interiors calculated in this study, used to plot Figure 3c and described in text, using a standard lithospheric thickness of 100 km. Data columns are: Name, area, average elevation (m), average reduced elevation for 100 km standard lithosphere (m), average lithospheric thickness (km), average crustal thickness (km), 1 sigma uncertainty in elevation (m) or reduced elevation (m), 1 sigma uncertainty in lithospheric thickness (km), 1 sigma uncertainty in crustal thickness (km). ASCII file.</p> <p>Data Set S3 (ds03.grd). Gridded elevation anomalies (observed elevation – elevation calculated from whole lithosphere isostasy), as described in text and used to construct Figure 8. Data columns are: Longitude, Latitude, elevation anomaly (m). In GMT grd format with bounds in degrees -R-179/179/-60/80 -I1. Suggested colour palette in GMT: seis -T-2000/2000/200 -Z -I -M -D --COLOR_NAN=white</p> <p>Data Set S4 (ds04.grd). Gridded global crustal density perturbation model calculated to give zero elevation anomaly, based on elevation anomalies in Data Set 3, used to plot Fig. 9a. Data columns are: Longitude, Latitude, crustal density perturbation in kgm<sup>-3</sup>. In GMT grd format with bounds in degrees -R-179/179/-60/80 -I1. Suggested colour palette in GMT: seis -T-200/200/10 -Z -I -M -D --COLOR_NAN=white</p> <p>Data Set S5 (ds05.grd). Gridded global conductive lithosphere mantle density perturbation model calculated to give zero elevation anomaly, based on elevation anomalies in Data Set 3, used to plot Fig. 9b. Data columns are: Longitude, Latitude, mantle density perturbation in kgm<sup>-3</sup>. In GMT grd format with bounds in degrees -R-179/179/-60/80 -I1. Suggested clour palette in GMT: seis -T-50/50/5 -Z -I -M -D --COLOR_NAN=white</p> <p>Data Set S6 (ds06.grd). Gridded global crustal thickness perturbation model calculated to give zero elevation anomaly, based on elevation anomalies in Data Set 3, used to plot Fig. 9c. Data columns are: Longitude, Latitude, crustal thickness in km. In GMT grd format with bounds in degrees -R-179/179/-60/80 -I1. Suggested colour palette in GMT: seis -T-10/10/1 -Z -I -M -D --COLOR_NAN=white</p> <p>Data Set S7 (ds07.grd). Gridded global conductive lithosphere thickness perturbation model calculated to give zero elevation anomaly, based on elevation anomalies in Data Set 3, used to plot Fig. 9d. Data columns are: Longitude, Latitude, thickness in km. In GMT grd format with bounds in degrees -R-179/179/-60/80 -I1. Suggested colour palette in GMT: seis -T-100/100/5 -Z -I -M -D --COLOR_NAN=white</p> <p>Data Set S8 (ds08.grd). Compilation of gridded ratios of elastic thickness to conductive lithospheric thickness in the continents used to construct Figure 10c and d. Data columns are: Longitude, Latitude, ratio of elastic thickness to conductive lithospheric thickness from sources cited below. In GMT grd format with bounds in degrees -R-179/179/-60/80 -I1. Suggested colour palette in GMT: rainbow -T0/1/0.05 -Z -I -D --COLOR_NAN=white</p> <p><em>Data references:</em></p> <p><em>Lowry, A.R. and Pérez-Gussinyé, M., 2011. The role of crustal quartz in controlling Cordilleran deformation. Nature, 471(7338), 353-357.</em></p> <p><em>Pérez‐Gussinyé, M., Lowry, A.R., Watts, A.B. and Velicogna, I., (2004). On the recovery of effective elastic thickness using spectral methods: examples from synthetic data and from the Fennoscandian Shield. Journal of Geophysical Research: Solid Earth, 109(B10).</em></p> <p><em>Pérez-Gussinyé, M. and Watts, A.B., (2005). The long-term strength of Europe and its implications for plate-forming processes. Nature, 436(7049), 381.</em></p> <p><em>Pérez‐Gussinyé, M., Lowry, A.R. and Watts, A.B., (2007). Effective elastic thickness of South America and its implications for intracontinental deformation. Geochemistry, Geophysics, Geosystems, 8(5).</em></p> <p><em>Pérez‐Gussinyé, M., Lowry, A.R., Phipps Morgan, J. and Tassara, A., (2008). Effective elastic thickness variations along the Andean margin and their relationship to subduction geometry. Geochemistry, Geophysics, Geosystems, 9(2).</em></p> <p><em>Pérez-Gussinyé, M., Metois, M., Fernández, M., Vergés, J., Fullea, J. and Lowry, A.R., (2009). Effective elastic thickness of Africa and its relationship to other proxies for lithospheric structure and surface tectonics. Earth and Planetary Science Letters, 287(1-2), 152-167.</em></p> <p><em>Swain, C.J. and Kirby, J.F., 2006. An effective elastic thickness map of Australia from wavelet transforms of gravity and topography using Forsyth's method. Geophysical Research Letters, 33(2).</em></p>
Data for "Variation in Upper Plate Crustal and Lithospheric Mantle Structure in the Greater and Lesser Antilles from Ambient Noise Tomography"
<p>This is the phase velocity information and the shear wave model for the g-cubed paper:</p> <p>"Variation in Upper Plate Crustal and Lithospheric Mantle Structure in the Greater and Lesser Antilles from Ambient Noise Tomography"</p>
Global lithospheric thickness reconstruction using machine learning
<p><span>The lithosphere, as the outermost solid layer of our planet, preserves a progressively more fragmentary record of geological events and processes from Earth's history the further back in time one looks. Thus, the evolution of lithospheric thickness and its cascading impacts on Earth's tectonic system are presently unknown. Herein, we track the lithospheric thickness history using machine learning based on lithogeochemical big data of basalt. Our results demonstrate that four dramatic lithospheric thinning events occurred during the Paleoarchean, early Paleoproterozoic, Neoproterozoic, and Phanerozoic with intermediate thickening scenarios. These events respectively correspond to supercontinent breakup and assembly periods. Causality investigation further indicates that crustal metamorphic and deformation styles are the feedback of lithospheric thickness. Cross-correlation between lithospheric thickness and metamorphic thermal gradients record the transition from intra-oceanic subduction systems to continental margin plus intra-oceanic in the Paleoarchean and Mesoarchean, and a progressive emergence of large thick continents that allow supercontinent growth, which promoted assembly of the first supercontinent during the Neoarchean.</span></p>
CI23: a 3D radially anisotropic velocity model of Central Apennines lithosphere
<p>We retrieve the 3D radially anisotropic model of Central Apennines lithosphere implementing Full-Waveform Inversion (FWI). </p> <p>The model has the following parameterization: VPH, VPV, VSH, VSV. It resolves P- and S-waves velocities in the period range 8 - 50s (0.02 - 0.125 Hz). For each point in the mesh (LAT1: 40.0°, LAT2: 45.0°, LON1: 11.0°, LON2: 16.0°), the model returns velocity values in units of m/s.</p> <p>The CI_23 model is available in multiple formats:</p> <ul> <li> <p>A <code>.vtk</code> version is hosted on Zenodo</p> </li> <li> <p>An <code>.h5</code> version can be accessed via Google Drive <a href="https://drive.google.com/drive/folders/18mHH6WRGOTJIaBGB8wn3FcrqYBMwVJyZ?usp=drive_link" target="_blank" rel="noopener">here</a></p> </li> <li> <p>A version interpolated onto a structured grid (in <code>.netCDF</code> format) is available through <a href="https://doi.org/10.17611/dp/emc.2025.ci23stallone.1" target="_blank" rel="noopener">IRIS-EMC </a></p> </li> </ul> <p> </p>
The rheological structure of East Asian continental lithosphere
<p>The data here includes the rheological results for the paper<br> entitled "The rheological structure of East Asian continental lithosphere ", which has been submitted to Tectonophysics.</p>
Local Earthquake Tomography Code and Data for study the Lithosphere Structure in the Collision Zone of the NW Himalayas
<p>The tomography model presented in the paper "Lithosphere Structure in the Collision Zone of the NW Himalayas Revealed by Local Earthquake Tomography" are obtained using the LOTOS code by Koulakov (2009). Here, we present the full version of the code with initial data and parameters used for calculating P and S velocity models beneath the NW Himalaya. This version of the code is adopted for the Windows OS and contains the entire program listing and the full project structure for Microsoft Visual Studio 2010 and Intel Visual Fortran. Detailed description of the code can be found at <a href="http://www.ivan-art.com/science/LOTOS">www.ivan-art.com/science/LOTOS</a></p>
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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.