{"title":"The Sand Atlas","authors":"Ilija Vego, Benjy Marks","doi":"10.1002/gdj3.70008","DOIUrl":null,"url":null,"abstract":"<p>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 <span>sand-atlas</span> python package. This platform encourages community participation, inviting contributors to share their own data and enrich the collective understanding of granular materials.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"12 3","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70008","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.70008","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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 JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍：
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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