The OpenMindat v1.0.0 R package: a machine interface to Mindat open data to facilitate data-intensive geoscience discoveries

Technologies such as machine learning and deep learning are powering the discovery of meaningful patterns in Earth science big data. In the field of mineralogy, Mindat (“mindat.org”) is one of the largest databases. Although its front-end website is open and free, a machine interface for bulk data q...

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Veröffentlicht in:	Geoscientific Model Development Jg. 18; H. 14; S. 4455 - 4467
Hauptverfasser:	Que, Xiang, Zhang, Jiyin, Chen, Weilin, Ralph, Jolyon, Ma, Xiaogang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Katlenburg-Lindau Copernicus GmbH 23.07.2025 Copernicus Publications
Schlagworte:	Analysis Application programming interface Big Data Coding Crowdsourcing Data mining Datasets Deep learning Earth science Earth sciences Geology Geomaterials International economic relations Learning algorithms Machine learning Meteors & meteorites Mineral industry Mineralogy Minerals Mining industry Names Network analysis Open data Queries Software
ISSN:	1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
Online-Zugang:	Volltext
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