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Garnet 3D grain shapes in the metabasalt ZS-21-02

<p>This dataset is part of the Supplemental Material of "<strong>Tracking garnet dissolution kinetics in 3D using deep learning grain shape classification</strong>" by Hartmeier et al. (2023).</p><p>Garnet grain 3D models extracted from a micro-computed tomography scan. "<i>ZS2102raw" are numpy arrays (.npy-files) holding a 3D model of garnet grains. Additional information; centroid position, volume in voxels and volume of fitted convex hulls ; is stored in seperate files. "ZS2102_labelled" </i>holds the same data set but all garnets are catergorised in to different shape based classes.</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
0
Engagement
8

Dataset details

Repository
zenodo
Published
November 4, 2023
License
cc-by-4.0
DOI
10.5281/zenodo.10073017

Scored with release 0.9.0

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