2018
DOI: 10.2138/am-2018-6274
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Analysis and visualization of vanadium mineral diversity and distribution

Abstract: We employ large mineralogical data resources to investigate the diversity and spatial distribution of vanadium minerals. Data for 219 approved species (rruff.info/ima, as of 15 April 2016), representing 5437 mineral species-locality pairs (mindat.org and other sources, as of 15 April 2016), facilitate statistical evaluation and network analysis of these vanadium minerals. V minerals form a sparse, moderately centralized and transitive network, and they cluster into at least 7 groups, each of which indicates di… Show more

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Cited by 29 publications
(12 citation statements)
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“…Under oxidizing conditions after the Great Oxidation Event (GOE), enhanced V(V) mineral formation and preservation occurred at 2.1–1.7 Ga followed by extensive V(V) and V(IV) mineral formation and preservation 0.7 Ga to present day. The clustering of V mineral‐forming elements reflected these redox changes along with apparent tectonic processes, similar to V mineral clustering by locality described by Liu et al (). The redox state of emerging V minerals responds differently to planetary oxygenation than other proxies, such as redox sensitive metals Mo and Re (Anbar et al, ) or 15 N fractionation (Godfrey & Falkowski, ).…”
Section: Discussionsupporting
confidence: 83%
“…Under oxidizing conditions after the Great Oxidation Event (GOE), enhanced V(V) mineral formation and preservation occurred at 2.1–1.7 Ga followed by extensive V(V) and V(IV) mineral formation and preservation 0.7 Ga to present day. The clustering of V mineral‐forming elements reflected these redox changes along with apparent tectonic processes, similar to V mineral clustering by locality described by Liu et al (). The redox state of emerging V minerals responds differently to planetary oxygenation than other proxies, such as redox sensitive metals Mo and Re (Anbar et al, ) or 15 N fractionation (Godfrey & Falkowski, ).…”
Section: Discussionsupporting
confidence: 83%
“…The contributions by Fersman [5], Saukov [6], Povarennykh [7], Urusov [8,9], Ivanov and Yushko-Zakharova [10], Khomyakov [11], Yaroshevsky [12], and others should be particularly mentioned. The advent of new digital technologies of big-data analysis revolutionized the field, leading to many important insights into chemical, structural and genetic relations between different groups of minerals and formulation of a new research direction of data-driven discovery in Mineralogy [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Statistical approaches are particularly useful in characterizing surface and near-surface environments where biology and reaction kinetics play a major role in mineral formation and stability, as opposed to the dominance of thermodynamics in the subsurface. Mineral ecological studies employ the MED and Mindat.org to examine and characterize the spatial diversity and distribution of mineral species on planetary bodies (Hazen et al, 2015b(Hazen et al, ,a, 2016(Hazen et al, , 2017bHystad et al, 2015a,b;Grew et al, 2017;Liu et al, 2017aLiu et al, , 2018a. "Mineral species" in this case are those recognized by the IMA Commission on New Minerals, Nomenclature and Classification (CNMNC), which often does not account for subtle variations in chemistry or formational processes (see section "Natural Kind Clustering").…”
Section: Carbon Mineral Ecologymentioning
confidence: 99%