Now showing items 1-3 of 3

    • Data-driven discovery in mineralogy: Insights from natural kind clustering 

      Hazen, Robert; Morrison, S.M.; Zhang, S.; Boujibar, A.; Prabhu, Anirudh; Fox, Peter; Eleish, Ahmed; Huang, F.; Liu, C.; Ma, C.; Ma, Xiaogang (AGU, 2019-12)
      Mineralogists have long asked how many different kinds of minerals occur on Earth, if that number has changed through time, and how Earth's mineral diversity compares to that of other planets and moons. Those questions ...
    • Natural clustering of pyrite with implications for its formational environment 

      Zhang, S.; Morrison, S.M.; Prabhu, Anirudh; Ma, C.; Huang, F.; Gregory, D.; Large, L. L.; Hazen, Robert (AGU, 2019-12)
      The modern mineral classification system is largely based on unique combinations of idealized major element composition and crystal structure, and therefore emphasis on the diverse modes of origin for each mineral is ...
    • The Deep-Time Digital Earth program: data-driven discovery in geosciences 

      Wang, C.; Hazen, Robert; Cheng, Q.; Stephenson, MH.; Zhou, C.; Fox, Peter; Shen, SZ.; Oberhänsli, R.; Hou, Z.; Ma, Xiaogang; Feng, Z.; Fan, J.; Ma, C.; Hu, X.; Luo, B.; Wang, J.; Schiffries, CM. (National Science Review, 2021-02-11)
      Current barriers hindering data-driven discoveries in deep-time Earth (DE) include: substantial volumes of DE data are not digitized; many DE databases do not adhere to FAIR (findable, accessible, interoperable and reusable) ...