Global earth mineral inventory: A data legacy

Prabhu, Anirudh; Morrison, S. M.; Eleish, Ahmed; Huang, Fang; Golden, Joshua J.; Perry, Samuel N.; Hummer, Daniel R.; Ralph, Jolyon; Runyon, Simone E.; Fontaine, Kathleen; Krivovichev, Sergey V.; Downs, Robert T.; Hazen, Robert M.; Fox, Peter

doi:10.1002/gdj3.106

Cited by 23 publications

(22 citation statements)

References 47 publications

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“…For the calculation of chemical complexities, the end-member mineral chemical formulae were used as approved by the International Mineralogical Association (IMA; Pasero, 2021). The structural complexity parameters for mineral species have recently been partially incorporated into the Global Earth Mineral Inventory (GEMI) online database (Prabhu et al , 2021; see below).…”

Section: Theory and Methodologymentioning

confidence: 99%

“…Krivovichev (2013) pointed out the importance of quantitative expression of structural and chemical complexity of minerals for mineralogy and the novel insights that may be deduced from complexity considerations. In this review, our analysis will be based upon a comprehensively updated and corrected database of information-based complexity measures of minerals (see Supplementary Information), some of which have been incorporated into the Global Earth Mineral Inventory (GEMI) database (Prabhu et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

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Structural and chemical complexity of minerals: an update

Krivovichev

Кривовичев

Hazen

et al. 2022

MinMag

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The complexities of chemical composition and crystal structure are fundamental characteristics of minerals that have high relevance to the understanding of their stability, occurrence and evolution. This review summarises recent developments in the field of mineral complexity and outlines possible directions for its future elaboration. The database of structural and chemical complexity parameters of minerals is updated by H-correction of structures with unknown H positions and the inclusion of new data. The revised average complexity values (arithmetic means) for all minerals are 3.54(2) bits/atom and 345(10) bits/cell (based upon 4443 structure reports). The distributions of atomic information amounts, chemIG and strIG, versus the number of mineral species fit the normal modes, whereas the distributions of total complexities, chemIG,total and strIG,total, along with numbers of atoms per formula and per unit cell are log normal. The three most complex mineral species known today are ewingite, morrisonite and ilmajokite, all either discovered or structurally characterised within the last five years. The most important complexity-generating mechanisms in minerals are: (1) the presence of isolated large clusters; (2) the presence of large clusters linked together to form three-dimensional frameworks; (3) formation of complex three-dimensional modular frameworks; (4) formation of complex modular layers; (5) high hydration state in salts with complex heteropolyhedral units; and (6) formation of ordered superstructures of relatively simple structure types. The relations between symmetry and complexity are considered. The analysis of temporal dynamics of mineralogical discoveries since 1875 with the step of 25 years show the increasing chemical and structural complexities of human knowledge of the mineral kingdom in the history of mineralogy. In the Earth's history, both diversity and complexity of minerals experience dramatic increases associated with the formation of Earth's continental crust, initiation of plate tectonics and the Great Oxidation event.

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Section: Theory and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structural and chemical complexity of minerals: an update

Krivovichev

Кривовичев

Hazen

et al. 2022

MinMag

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“…The updated database underpinned many new research discoveries, including mineral evolution and ecology (Morrison et al, 2019(Morrison et al, , 2020 and the co-evolution between the geosphere and the biosphere (Spielman and Moore, 2020). The database also derived new designs of mineral species databases and discussions on better ways for data curation and sharing (Prabhu et al, 2021).…”

Section: Data Preprocessing and Preparationmentioning

confidence: 99%

Data Science for Geoscience: Recent Progress and Future Trends from the Perspective of a Data Life Cycle

Ma¹

2021

Preprint

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Data science receives increasing attention in a variety of geoscience disciplines and applications. Many successful data-driven geoscience discoveries have been reported recently, and the number of geoinformatics and data science sessions have begun to increase in many geoscience conferences. Across academia, industry, and governmental sectors, there is a strong interest to know more about the current progress as well as the potential of data science for geoscience. To address that need, this article provides a review from the perspective of a data life cycle. The key steps in the data life cycle includes concept, collection, preprocessing, analysis, archive, distribution, discovery, and repurpose. Those subjects are intuitive and easy to follow even for geoscientists with very limited experience of cyberinfrastructure, statistics, and machine learning. The review includes two key parts. The first is about the fundamental concepts and theoretical foundation of data science, and the second is the summary of highlights and sharable experience from existing publications centered on each step in the data life cycle. At the end, a vision about the future trends of data science applications in geoscience is discussed, including topics on open science, smart data, and science of team science. We hope this review will be useful to data science practitioners in the geoscience community, and will lead to more discussions on the best practices and future trends of data science for geoscience.

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“…The metadata items describing an instance are properties. All those classes and properties are organized by the DCO ontology (Ma et al, 2017;Prabhu et al, 2020).…”

Section: Deep Carbon Observatorymentioning

confidence: 99%

“…That said, the team was able to reapply the portal technologies to enable search and access to a large collection, the Global Earth Mineral Inventory. This allows citation of subsets of that collection (Prabhu et al, 2020).…”

Section: Deep Carbon Observatorymentioning

confidence: 99%