The Sand Atlas

ABSTRACT The Sand Atlas is a publicly accessible repository dedicated to the collection, processing and sharing of high‐resolution 3D models of sand‐sized particles. This dataset offers valuable insights into the morphology of a wide variety of natural and synthetic sand‐sized particles from different regions, with varying mineralogy and history. The primary goal of The Sand Atlas is to support researchers, educators and industry professionals by providing detailed, easily accessible and uniformly produced surface meshes and level‐set data. The underlying code that converts volumetric data to meshes is also available via the sand‐atlas python package. This platform encourages community participation, inviting contributors to share their own data and enrich the collective understanding of granular materials.

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Publication Details

Journal
Geoscience Data Journal
Published
2025-05-23
DOI
https://doi.org/10.1002/gdj3.70008
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
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article

The Sand Atlas

Benjy Marks, Ilija Vego
Geoscience Data Journal
Landslides and related hazards
article

The Sand Atlas

Benjy Marks, Ilija Vego
article en

Abstract

ABSTRACT The Sand Atlas is a publicly accessible repository dedicated to the collection, processing and sharing of high‐resolution 3D models of sand‐sized particles. This dataset offers valuable insights into the morphology of a wide variety of natural and synthetic sand‐sized particles from different regions, with varying mineralogy and history. The primary goal of The Sand Atlas is to support researchers, educators and industry professionals by providing detailed, easily accessible and uniformly produced surface meshes and level‐set data. The underlying code that converts volumetric data to meshes is also available via the sand‐atlas python package. This platform encourages community participation, inviting contributors to share their own data and enrich the collective understanding of granular materials.

Geoscience Data JournalVol. 12(3)
The University of Sydney (AU)
Openalex Percentile: Top 84%
Landslides and related hazards
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