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.

712

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

712 results for “mantle”

Learn how ShareScore rates datasets ↗
zenodo36/100

Chemical reaction between ferropericlase (Mg,Fe)O and water under high pressure-temperature conditions of the deep lower mantle

<p>The XRD datasets and the multigrain dataset for the article &quot;Chemical reaction between ferropericlase (Mg,Fe)O and water under high pressure-temperature conditions of the deep lower mantle&quot; by Yang et al.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Seismic Anisotropy in the Lower Mantle Transition Zone Induced by Lattice Preferred Orientation of Akimotoite-Dataset

<p>The dataset includes the lattice preferred orientation data of akimotoite aggregates obtained through EBSD and transmitted two-dimensional (2D) X-ray diffraction method at BL04B1 of synchrotron facility of SPring-8, Hyogo, Japan. The employed conditions of 2D X-ray diffraction measurements are also available.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Volatile (C, N, Ar) variability in MORB and the respective roles of mantle source heterogeneity and degassing: the case of the Southwest Indian Ridge

<p>Location, isotopic compositions of &delta;13C and &delta;18O of CO2, &delta;15N of N2&nbsp;and C, N and Ar abundances in vesicles of SWIR basaltic glasses</p>

opencc-by-4.0Dec 2001View details →
zenodo36/100

Deformation of post-spinel under the lower mantle conditions

<p>Data used in</p> <p>&nbsp;</p> <p><strong>Deformation of post-spinel under the lower mantle conditions</strong></p> <p>F. Xu<sup>1, 2</sup>, D. Yamazaki<sup>1</sup>, S. A. Hunt<sup>3, 2</sup>, N. Tsujino<sup>1</sup>, Y. Higo<sup>4</sup>, Y. Tange<sup>4</sup>, K. Ohara<sup>4</sup>, D. P. Dobson<sup>2</sup></p> <p><sup>1</sup> Institute for Planetary Materials, Okayama University, Misasa, 682-0193 Tottori, Japan</p> <p><sup>2</sup> Department of Earth Sciences, University College London, Gower Street, London WC1E 6BT, United Kingdom</p> <p><sup>3</sup> Department of Materials, University of Manchester, Sackville Street Building, Manchester M1 3BB, United Kingdom</p> <p><sup>4</sup> Japan Synchrotron Radiation Research Institute, SPring-8, Sayo, Hyogo 679-5198, Japan</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Data for "Sea-level stability over geologic time owing to limited deep subduction of hydrated mantle"

<p>This repository contains data to reproduce the results displayed in the manuscript : &quot;Sea-level stability over geologic time owing to limited deep subduction of hydrated mantle&quot; by Cerpa, N. G., Arcay, D., &amp; Padron-Navarta J. A.<br> The data includes the P-T paths and the slab-water retention for the 56 modeled subduction transects. &nbsp;</p>

opencc-by-4.0Mar 2021View details →
zenodo36/100

Core-mantle boundary topography data from numerical simulation of instantaneous mantle flow

<p>Calculated CMB topography data&nbsp;for models (a) H0, (b) H0D1, (c) H4, (d) H4P3, (e) H4P6, (f) H4P3D1, (g) H4P3W, and (h) H4P3D1W. Negative (positive) values indicate topographic depression (elevation). See Figure 2 of&nbsp;Yoshida (2008).</p>

opencc-by-4.0Jul 2008View details →
zenodo36/100

Data sets for "Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle"

<p>This is the XRD and IR datasets for the article &quot;Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle&quot; by Liu and Yuan et al.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

CMB / Lowermost Mantle Joint Tomographic Model

<p>Output model for Muir, Tanaka and Tkalčić</p> <p>Description of included data files:&nbsp;</p> <p>corrmat.dat - correlation matrix between slowness &amp; radius perturbation coefficients; order of coefficients is (0,0), (1,-1), (1,0)....(8,8) for slowness, and then the same for radius<br> drpowers.dat - power per degree l for radius perturbation, column 1 = l, column 2 = mean, column 3 = 5%ile, column 4 = 95%ile<br> vppowers.dat - power per degree l for Vp perturbation, column 1 = l, column 2 = mean, column 3 = 5%ile, column 4 = 95%ile (using 13.61 km/s reference velocity)<br> m_dr.dat - summary statistics for radius perturbation coefficients, column 1 = l, column 2 = m, column 3 = mean, column 4 = 5%ile, column 5 = 95%ile<br> m_ds.dat - summary statistics for slowness perturbation coefficients, column 1 = l, column 2 = m, column 3 = mean, column 4 = 5%ile, column 5 = 95%ile<br> spatialcorr.dat - spatial correlation between slowness and radius, column 1 = latitude, column 2 = longitude, column 3 = correlation<br> tomodata.dat - summary statistics for Vp, column 1 = latitude, column 2 = longitude, column 3 = mean, column 4 = std dev<br> topodata.dat - summary statistics for radius, column 1 = latitude, column 2 = longitude, column 3 = mean, column 4 = std dev</p> <p>Spherical harmonics are given by&nbsp;<br> Y^m_l(phi, theta) = sqrt(2)*sqrt(((2l+1)(l-m)!)/(4pi(l+m)!)) cos(m phi) P^m_l(cos(theta)); m&gt;0<br> Y^m_l(phi, theta) = sqrt(2)*sqrt(((2l+1)(l-m)!)/(4pi(l+m)!)) sin(-m phi) P^(-m)_l(cos(theta)); m&lt;0<br> Y^m_l(phi, theta) = sqrt(((2l+1)(l-m)!)/(4pi(l+m)!)) P^(-m)_l(cos(theta)); m=0</p> <p>where P^m_l is the associated legendre function including the Condon-Shortley phase</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Models and simulation results of "A relatively dry mantle transition zone revealed by geomagnetic diurnal variations"

<p>Data and models&nbsp;used in Zhang&nbsp;et al. 2022: A relatively dry mantle transition zone revealed by geomagnetic diurnal variations. See ReadMe&nbsp;for more detailed description of file contents. Files includes:</p> <p>1. 3D Conductivity models (ascii)&nbsp; and corresponding&nbsp;perturbed magnetic field on the surface (Matalab Mat format):</p> <p>Global*Model, Secondary*Hs_1cpd.mat</p> <p>2. inhomogeneous surface conductance layer for&nbsp;thin-sheet modeling (Matlab Mat format):</p> <p>SurfaceCond1degx1deg.mat</p> <p>3. 1D inversion profiles to generate Figure 1 (Matalab Mat format)</p> <p>depth.mat, MultiMode*.mat</p> <p>4.&nbsp;&nbsp;PCA used for the data analysis&nbsp;(Matalab Mat format).&nbsp;</p> <p>Data_1-4cpd_Mode_1-5.mat</p> <p>5. Source estimates results used for the preferred conductivity model (Matalab Mat format).</p> <p>SphereCoeff_PerferedSource.mat</p> <p>&nbsp;</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Experimental constraints on the fate of subducted sedimentary nitrogen in the reduced mantle

<p>Dataset for &quot;Experimental constraints on the fate of subducted sedimentary nitrogen in the reduced mantle&quot;.</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

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 &quot;The effect of a weak asthenospheric layer on surface kinematics, subduction dynamics and slab morphology in the lower mantle&quot; by&nbsp;Cerpa, N. G., Sigloch, K., Garel, F., Heuret, A., Davies, D. R., and Mihalynuk, M.</p> <p>Please, contact Nestor&nbsp;Cerpa&nbsp;(nestor.cerpa@umontpellier.fr) for additional information</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Binding Energies of Interstellar Relevant S-bearing Species on Water Ice Mantles: A Quantum Mechanical Investigation

<p>This Supporting Material contains:</p> <ul> <li>Fractional coordinates of&nbsp;DFT optimized adsorption complexes for crystalline periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with&nbsp;<a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using&nbsp;<a href="http://www.crystal.unito.it/">CRYSTAL17</a>&nbsp;computer code;</li> <li>Fractional coordinates of&nbsp;HF-3c&nbsp;optimized adsorption complexes for amorphous&nbsp;periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with&nbsp;<a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using&nbsp;<a href="http://www.crystal.unito.it/">CRYSTAL17</a>&nbsp;computer code;</li> <li>Images of the adsorption features at crystalline periodic ice models, in which electrostatic potential maps, spin density maps (when available) and vibrational features are displayed;</li> <li>A pdf file with a&nbsp;thorough guide to the computation of BEs and the basis sets employed for the calculations.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

LaMEM source code and input files corresponding to Present‐day upper‐mantle architecture of the Alps: Insights from data‐driven dynamic modelling

<p>This repository contains LaMEM source code and input files for the models presented in&nbsp;Kumar, A., Cacace, M., Scheck-Wenderoth, M., G&ouml;tze, H.-J., &amp; Kaus, B. J. P. (2022). Present-day upper-mantle architecture of the Alps: Insights from data-driven dynamic modeling. Geophysical Research Letters, 49, e2022GL099476. https://doi. org/10.1029/2022GL099476</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Supplemental Dataset: Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading

<p>This repository contains supplementary datasets for the manuscript titled &quot;Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading&quot;, published in G-Cubed. All files are Microsoft Excel tables containing&nbsp;olivine fabric data.</p> <p>ds01_strain_data_ol60.xlsx:&nbsp;Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming 60% olivine and 40% pyroxene (see methods for details).</p> <p>ds02_strain_data_ol100.xlsx: Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming pure olivine.</p> <p>ds03_fabric_data_ol75.xlsx:&nbsp;Anisotropy fabric data shown in Figure 5 of the main text, assuming 75% olvine and 25% pyroxene (see methods for details).</p> <p>ds04_fabric_data_ol100.xlsx: Anisotropy fabric data shown in Figure 5 of the main text, assuming pure olivine.</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

A highly depleted and subduction-modified mantle beneath the slow-spreading Mohns Ridge

<p><strong>Supplementary Information.&nbsp;</strong>A word file&nbsp;containing the supplementary information.</p> <p><strong>Table&nbsp;1.&nbsp;</strong>An Excel spreadsheet containing whole-rock geochemical results.</p> <p><strong>Table&nbsp;2.&nbsp;</strong>An Excel spreadsheet containing electron microprobe analysis of orthopyroxene, clinopyroxene, and Cr-spinel.</p> <p><strong>Table 3.&nbsp;</strong>An Excel spreadsheet containing trace element concentrations of orthopyroxene</p> <p><strong>Table 4.&nbsp;</strong>An Excel spreadsheet containing Nd isotopic compositions of orthopyroxene.</p> <p><strong>Supplementary Table 2.&nbsp;</strong>An Excel spreadsheet containing LA-ICP-MS secondary standard values.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Dataset for High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions

<p>This repository contains the plugin and dataset used to setup models in the manuscript: &quot;High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions&quot;.</p> <p>The material model plugin used in our models is in the &quot;plugins&quot; folder. The &quot;models&quot; folder contains the reference input parameter file described in the paper. All other model configurations shown in the paper can be obtained by modifying this parameter file.&nbsp; The input files used to set up the models are in the respective folder. Additionally, the Jupyter notebook used to compute residuals of our models is provided in the &quot;scripts&quot; folder.</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2022View details →
dryad36/100

A heterogenous mantle and crustal structure formed during the early differentiation of Mars

<p>Highly siderophile element abundances and Os isotopes of nakhlite and chassignite meteorites demonstrate that they represent a comagmatic suite from Mars. Nakhlites experienced variable assimilation of &gt;2 Ga altered high Re/Os basaltic crust. This basaltic crust is distinct from the ancient crust represented by meteorites Allan Hills 84001, or impact-contaminated Northwest Africa 7034/7533. Nakhlites and chassignites that did not experience crustal assimilation were extracted from a depleted lithospheric mantle distinct from the deep plume source of depleted shergottites. The comagmatic origin for nakhlites and chassignites demonstrates a layered martian interior comprising ancient enriched basaltic crust derived from trace element-rich shallow magma ocean cumulates, a variably metasomatized mantle lithosphere, and a trace element-depleted deep mantle sampled by plume magmatism.</p>

opencc-zeroMay 2024View details →
zenodo36/100

Dataset for Cenozoic India-Asia collision driven by mantle dragging the cratonic root

<p>Dataset for the paper:</p> <p>Cenozoic India-Asia collision driven by mantle dragging the cratonic root</p> <p>For more infomation, please look into the README file or contact Professor Lijun Liu at ljliu@mail.iggcas.ac.cn, thank you!</p>

opencc-by-4.0May 2024View details →
zenodo36/100

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

<p>&nbsp; &nbsp; 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.&nbsp;</p>

opencc-by-4.0Jun 2024View details →
dryad36/100

Occupancy of two Colombian endemic birds (Habia gutturalis) and White-Mantled Barbet (Capito hypoleucus) in fragmented forests of the Central Andes in Colombia

<p>The Sooty Ant-Tanager (<em>Habia gutturalis</em>) and White-mantled Barbet (<em>Capito hypoleucus</em>) are endangered and endemic birds of Colombia. Both species have small geographic ranges and presumably low population sizes possibly due to habitat destruction and fragmentation. In order to estimate the effects of landscape features on the occupancy of both species, we sampled a variety of landscape configurations within the buffer zones of two hydroelectric impoundments in the Central Andes of Colombia and applied occupancy models to estimate the proportion of area occupied as a function of these covariates. We surveyed 35 point-counts in each hydroelectric impoundment, between June and July of 2014 and 2015. We used single-season models to estimate occupancy while recognizing imperfect detection. Mean occupancy estimates in the study area were similar for both species (0.61 SD=0.33 for the Sooty Ant-Tanager and 0.63 SD=0.25 for the White-mantled). Nonetheless, occupancy probability within the study area was very different between them. The best model for the Sooty Ant-Tanager indicated a decrease in occupancy with elevation, whereas the top model for the White-mantled Barbet indicated an increase in occupancy with distance from streams. Detection probabilities were similar for both species (&gt;0.4) and declined significantly during the second year. Our results provide quantitative guidelines that can be used to evaluate and monitor the state of these populations on the short and long term.</p>

opencc-zeroJun 2024View 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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.