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Building geochemically based quantitative analogies from soil classification systems using different compositional datasets.

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Title: Building geochemically based quantitative analogies from soil classification systems using different compositional datasets.
Authors: Chappell MA; Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America., Seiter JM; Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America., West HM; Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America., Durham BD; Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America., Porter BE; Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America., Price CL; Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America.
Source: PloS one [PLoS One] 2019 Feb 19; Vol. 14 (2), pp. e0212214. Date of Electronic Publication: 2019 Feb 19 (Print Publication: 2019).
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Building geochemically based quantitative analogies from soil classification systems using different compositional datasets.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2019 Feb 19; Vol. 14 (2), pp. e0212214. <i>Date of Electronic Publication: </i>2019 Feb 19 (<i>Print Publication: </i>2019).
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        Value: 10.1371/journal.pone.0212214
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