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. |
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| 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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