Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History
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Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History. / Mehra, Akshay; Keller, C. Brenhin; Zhang, Tianran; Tosca, Nicholas J.; McLennan, Scott M.; Sperling, Erik; Farrell, Una; Brocks, Jochen; Canfield, Donald; Cole, Devon; Crockford, Peter; Cui, Huan; Dahl, Tais W.; Dewing, Keith; Emmings, Joseph F.; Gaines, Robert R.; Gibson, Tim; Gilleaudeau, Geoffrey J.; Guilbaud, Romain; Hodgskiss, Malcom; Jarrett, Amber; Kabanov, Pavel; Kunzmann, Marcus; Li, Chao; Loydell, David K.; Lu, Xinze; Miller, Austin; Mills, N. Tanner; Mouro, Lucas D.; O'Connell, Brennan; Peters, Shanan E.; Poulton, Simon; Ritzer, Samantha R.; Smith, Emmy; Wilby, Philip; Woltz, Christina; Strauss, Justin V.
In: GSA Today, Vol. 31, No. 5, 2021, p. 4-9.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History
AU - Mehra, Akshay
AU - Keller, C. Brenhin
AU - Zhang, Tianran
AU - Tosca, Nicholas J.
AU - McLennan, Scott M.
AU - Sperling, Erik
AU - Farrell, Una
AU - Brocks, Jochen
AU - Canfield, Donald
AU - Cole, Devon
AU - Crockford, Peter
AU - Cui, Huan
AU - Dahl, Tais W.
AU - Dewing, Keith
AU - Emmings, Joseph F.
AU - Gaines, Robert R.
AU - Gibson, Tim
AU - Gilleaudeau, Geoffrey J.
AU - Guilbaud, Romain
AU - Hodgskiss, Malcom
AU - Jarrett, Amber
AU - Kabanov, Pavel
AU - Kunzmann, Marcus
AU - Li, Chao
AU - Loydell, David K.
AU - Lu, Xinze
AU - Miller, Austin
AU - Mills, N. Tanner
AU - Mouro, Lucas D.
AU - O'Connell, Brennan
AU - Peters, Shanan E.
AU - Poulton, Simon
AU - Ritzer, Samantha R.
AU - Smith, Emmy
AU - Wilby, Philip
AU - Woltz, Christina
AU - Strauss, Justin V.
N1 - Publisher Copyright: © 2021 Geological Society of America. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Large datasets increasingly provide critical insights into crustal and surface processes on Earth. These data come in the form of published and contributed observations, which often include associated metadata. Even in the best-case scenario of a carefully curated dataset, it may be non-trivial to extract meaningful analyses from such compilations, and choices made with respect to filtering, resampling, and averaging can affect the resulting trends and any interpretation(s) thereof. As a result, a thorough understanding of how to digest, process, and analyze large data compilations is required. Here, we present a generalizable workflow developed using the Sedimentary Geochemistry and Paleoenvironments Project database. We demonstrate the effects of filtering and weighted resampling on Al2O3 and U contents, two representative geochemical components of interest in sedi-mentary geochemistry (one major and one trace element, respectively). Through our analyses, we highlight several methodological challenges in a "bigger data" approach to Earth science. We suggest that, with slight modifications to our workflow, researchers can confidently use large collections of observations to gain new insights into processes that have shaped Earth's crustal and surface environments.
AB - Large datasets increasingly provide critical insights into crustal and surface processes on Earth. These data come in the form of published and contributed observations, which often include associated metadata. Even in the best-case scenario of a carefully curated dataset, it may be non-trivial to extract meaningful analyses from such compilations, and choices made with respect to filtering, resampling, and averaging can affect the resulting trends and any interpretation(s) thereof. As a result, a thorough understanding of how to digest, process, and analyze large data compilations is required. Here, we present a generalizable workflow developed using the Sedimentary Geochemistry and Paleoenvironments Project database. We demonstrate the effects of filtering and weighted resampling on Al2O3 and U contents, two representative geochemical components of interest in sedi-mentary geochemistry (one major and one trace element, respectively). Through our analyses, we highlight several methodological challenges in a "bigger data" approach to Earth science. We suggest that, with slight modifications to our workflow, researchers can confidently use large collections of observations to gain new insights into processes that have shaped Earth's crustal and surface environments.
U2 - 10.1130/GSATG484A.1
DO - 10.1130/GSATG484A.1
M3 - Journal article
AN - SCOPUS:85107279306
VL - 31
SP - 4
EP - 9
JO - GSA Today
JF - GSA Today
SN - 1052-5173
IS - 5
ER -
ID: 300766487