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.

10

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

10 results for “Crustal thickness”

Learn how ShareScore rates datasets ↗
zenodo44/100

Crustal thickness and Vp/Vs database from the Amazonian Craton and adjacent provinces

<p>This database includes results of crustal thickness and Vp/Vs estimated from stations located in the Amazonian Craton and adjacent provinces.</p> <p>If you used this database, please cite:<br> <br> ALBUQUERQUE, D. F. et al. Crustal structure of the Amazonian Craton and adjacent provinces in Brazil. Journal of South American Earth Sciences, v. 79, p. 431&ndash;442, 2017. DOI: 10.1016/j.jsames.2017.08.019</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2017View details →
zenodo36/100

Crustal thicknesses, Moho depths and 3-D density anomaly model for GJI paper: Crustal structure of onshore-offshore Atlantic Canada and environs from constrained 3-D gravity inversion using variable mesh depths by J. Kim Welford

<p>The files are provided as ascii text files in terms of both latitudes/longitudes and eastings/northings. For the 3-D density anomaly model, it is provided with columns of x, y, z, and absolute density. The conversions from latitudes/longitudes to eastings/northings for all of the models and maps in this work are computed with ellipsoid WGS-84 and UTM zone 19 using Generic Mapping Tools.</p>

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

Localized admittance and crustal thickness maps of Crustal Plateaus on Venus

<p>This archive contains codes and data files supporting the study &quot;Lithospheric Structure of Venusian Crustal Plateaus&quot; by Maia and Wieczorek submitted to Journal of Geophysical Research - Planets.</p>

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

InSight Crustal Thickness Archive

<p>This archive contains supplemental data for the manuscript</p> <p>Wieczorek, M. A., et al., InSight constraints on the global character of the Martian crust, Journal of Geophysical Research: Planets, 2022.</p> <p><br> <strong>ARCHIVE CONTENTS</strong></p> <p><strong>constant-density-summary.xlsx</strong><br> Summary of all constant-density crustal thickness models. Each sheet provides model results that fit a specified crustal thickness at the InSight landing site. Summarized parameters include: the name of the interior model for the mantle and core, the density of the crust, the density of the upper mantle, the predicted crustal thickness beneath the InSight landing site, the average crustal thickness of the model, the minimum thickness of the model, the maximum thickness of the model, the average crustal thickness south of the dichotomy boundary, the average crustal thickness north of the dichotomy boundary, the average crustal thickness in the Tharsis province, the average crustal thickness south of the dichotomy boundary (excluding the Tharsis province), and the average crustal thickness north of the dichotomy boundary (excluding the Tharsis province). The first sheet summarizes a few of the main characteristics of the models.</p> <p><strong>dichotomy-summary.xlsx</strong><br> Same as for constant-density-summary.xlsx, but for the models that consider different densities north and south of the dichotomy boundary.</p> <p><strong>make-grids.py</strong><br> A python script that reads the spherical harmonic coefficients in the directories &quot;constant&quot; and &quot;dichotomy&quot; and creates grids of the planetary shape, the crust-mantle interface, and the crustal thickness. This script makes use of the file &quot;dichotomy_coordinates-JAH-0-360.txt&quot;, which is a list of (longitude, latitude) coordinates of the dichotomy boundary from Andrews-Hanna et al. (2008).</p> <p><strong>constant/</strong><br> Spherical harmonic coefficients of the shape of the crust-mantle interface. The file names are of the format &quot;Moho-Mars-MODEL-THICK-RHO.sh&quot;, where MODEL is the assumed interior model used for the mantle and core, THICK is the assumed seismic thickness at the InSight landing site, and RHO is the density of the crust.</p> <p><strong>dichotomy/</strong><br> Spherical harmonic coefficients of the shape of the crust-mantle interface. The file names are of the format &quot;Moho-Mars-MODEL-THICK-RHOS-RHON.sh&quot;, where RHOS and RHON are respectively the densities south and north of the dichotomy boundary. When RHOS and RHON are equal, the model corresponds to the constant density model in the directory &quot;constant&quot; (note that the numerical values are not identical as a result of using two different numerical approaches).</p> <p><strong>grids/</strong><br> Gridded output files generated by the script &quot;make-grids.py&quot; are placed in this directory. The file names are of the format &quot;Mars-KIND-MODEL-THICK-RHOS-RHON&quot;, where KIND is either &quot;shape&quot; for the radius of the surface, &quot;moho&quot; for the radius of the crust-mantle interface, or &quot;thick&quot; for the crustal thickness. Filenames with the extension &quot;dat&quot; are in an ascii raster format with the first and last data points (in units of km) corresponding to (90 N, 0 E) and (90 S, 360 E), respectively. Filenames with the extension &quot;xyz&quot; are lists of (latitude, longitude, value, density), where latitude and longitude are in degrees, value is in km, and density is in kg/m3.</p> <p>The grids directory contains the precomputed data used to create Figures 2 and 5 in the manuscript. For these files, the grid spacing in both latitude and longitude is 0.25 degrees. For the ascii raster files, the number of lines (latitudes) is 721, and the number of elements (longitudes) in each line is 1441.</p> <p>&nbsp;</p>

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

GRAIL Crustal Thickness Archive

<p>This archive contains crustal thickness models of the Moon derived from GRAIL (Gravity Recovery And Interior Laboratory) gravity. The original crustal thickness data were published in map form in <em>Wieczorek et al. </em>(2013).</p> <p>Wieczorek, M. A., G. A. Neumann, F. Nimmo, W. S. Kiefer, G. J. Taylor, H. J. Melosh, R. J. Phillips, S. C. Solomon, J. C. Andrews-Hanna, S. W. Asmar, A. S. Konopliv, F. G. Lemoine, D. E. Smith, M. M. Watkins, J. G. Williams, M. T. Zuber, The crust of the Moon as seen by GRAIL, <em>Science</em>, <strong>339</strong>, 671-675, doi:10.1126/science.1231530, 2013.</p>

openbsd-3-clauseDec 2012View details →
zenodo32/100

GPlates files, python code, and crustal thickness estimates used to build all of the deformable plate reconstructions presented in King and Welford 2022a and 2022b.

Open the record for dataset details and reuse information.

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

Crustal thickness and residual topography data for NE Africa

<p>The files in this gzipped tar file are crustal thicknesses, density anomalies, and residual<br> topography estimates for NE Africa as used in Faccenna et al. (Nature<br> Geoscience, in press, 2019), they are in the Netcdf/GMT grd format.</p> <p>lc.6.grd has crustal thickness in [km], rtl.6.grd the estimated,<br> non-isostatic topography in [km] assuming constant lithospheric<br> thickness and variable density anomalies from CRUST1.0, provided in<br> ades.grd [kg/m^3].</p> <p>Thorsten Becker, UT Austin, 09/2019<br> twb@ig.utexas.edu</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2019View details →
zenodo28/100

Mercury's crustal thickness correlates with lateral variations in mantle melt production: Dataset for maps of surface density, degree of partial melting, and crustal thickness

<p>1) DensityGrid.dat = map of density of pore-free surface rocks (Figure 1a)</p> <p>- Units = g/cm3</p> <p>- 720 x 1440 pixels corresponding to 0.25-degree pixels in an equirectangular cylindrical projection with the equator as central parallel.</p> <p>- The first row represents 90 to 89.75 degrees of latitude north; the last row represents 89.75 to 90 degrees of latitude south.</p> <p>- The first column represents 0 to 0.25 degree of longitude; the last column represents 359.75 to 360 degrees of longitude.</p> <p>2) MeltGrid.dat = map of degree of partial melting (Figure S1a)</p> <p>- Units: mass fraction</p> <p>- 720 x 1440 pixels as described above</p> <p>3) CrustalThickness_ModelU0.dat = map of crustal thickness if laterally uniform density, Model U0 (Figure 2a)</p> <p>&nbsp; &nbsp; CrustalThickness_ModelVn.dat = map of crustal thickness if laterally variable density, Model Vn (Figure 2c, Figures S6 to S10)</p> <p>- Units = km</p> <p>- generated with MakeGridDH of SHTOOLS (<a href="https://shtools.github.io/SHTOOLS/">https://shtools.github.io/SHTOOLS/</a>)</p> <p>- 720 x 1440 coordinate points corresponding to 0.25-degree spacing in an equirectangular cylindrical projection with the equator as central parallel.</p> <p>- The first row corresponds to 90 degrees of latitude north; the last row corresponds to 89.75 degrees of latitude south.</p> <p>- The first column corresponds to 0 degree of longitude; the last column corresponds to 359.75 degrees of longitude.</p> <p>Note: Figures refer to the following paper (Geophysical Research Letters, 2020): `Mercury&#39;s crustal thickness correlates with lateral variations in mantle melt production&rsquo;, by M. Beuthe, B. Charlier, O. Namur, A. Rivoldini, and T. Van Hoolst</p>

opencc-by-4.0Mar 2020View details →
zenodo28/100

An updated crustal thickness map of central South America based on receiver function measurements in the region of Pantanal and Chaco Basins, western Brazil

<p>Data set of new results and compilation of crustal thickness and Vp/Vs ratio in South America, from the paper <strong><em>An updated crustal thickness map of central South America based on receiver function measurements in the region of Pantanal and Chaco Basins, western Brazil</em></strong>, submitted<strong> </strong>to the Journal of Geophysical Research.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2019View details →
zenodo24/100

Dataset of crustal thickness (H) and Vp/Vs ratio (k) in central Tienshan

<p>More details can be referred to the article &quot;Cui Qinghui, Zhou Yuanze, Li Jiangtao, Song Xiaodong, Gao Yuan, Cui Ran. 2022. Crustal thickness (H) and Vp/Vs ratio (&kappa;) images beneath the central Tien Shan revealed by the H-&kappa;-c method. Tectonophysics. 822: 229157, doi:10.1016/j.tecto.2021.229157.&quot;</p>

opencc-by-4.0Nov 2021View 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