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 journalJournal articleResearchpeer-review

Harvard

Mehra, A, Keller, CB, Zhang, T, Tosca, NJ, McLennan, SM, Sperling, E, Farrell, U, Brocks, J, Canfield, D, Cole, D, Crockford, P, Cui, H, Dahl, TW, Dewing, K, Emmings, JF, Gaines, RR, Gibson, T, Gilleaudeau, GJ, Guilbaud, R, Hodgskiss, M, Jarrett, A, Kabanov, P, Kunzmann, M, Li, C, Loydell, DK, Lu, X, Miller, A, Mills, NT, Mouro, LD, O'Connell, B, Peters, SE, Poulton, S, Ritzer, SR, Smith, E, Wilby, P, Woltz, C & Strauss, JV 2021, 'Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History', GSA Today, vol. 31, no. 5, pp. 4-9. https://doi.org/10.1130/GSATG484A.1

APA

Mehra, A., Keller, C. B., Zhang, T., Tosca, N. J., McLennan, S. M., Sperling, E., Farrell, U., Brocks, J., Canfield, D., Cole, D., Crockford, P., Cui, H., Dahl, T. W., Dewing, K., Emmings, J. F., Gaines, R. R., Gibson, T., Gilleaudeau, G. J., Guilbaud, R., ... Strauss, J. V. (2021). Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History. GSA Today, 31(5), 4-9. https://doi.org/10.1130/GSATG484A.1

Vancouver

Mehra A, Keller CB, Zhang T, Tosca NJ, McLennan SM, Sperling E et al. Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History. GSA Today. 2021;31(5):4-9. https://doi.org/10.1130/GSATG484A.1

Author

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. / Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History. In: GSA Today. 2021 ; Vol. 31, No. 5. pp. 4-9.

Bibtex

@article{7a1ac7573f7643e39e6e8d6af239ce26,
title = "Curation and Analysis of Global Sedimentary Geochemical Data to Inform Earth History",
abstract = "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.",
author = "Akshay Mehra and Keller, {C. Brenhin} and Tianran Zhang and Tosca, {Nicholas J.} and McLennan, {Scott M.} and Erik Sperling and Una Farrell and Jochen Brocks and Donald Canfield and Devon Cole and Peter Crockford and Huan Cui and Dahl, {Tais W.} and Keith Dewing and Emmings, {Joseph F.} and Gaines, {Robert R.} and Tim Gibson and Gilleaudeau, {Geoffrey J.} and Romain Guilbaud and Malcom Hodgskiss and Amber Jarrett and Pavel Kabanov and Marcus Kunzmann and Chao Li and Loydell, {David K.} and Xinze Lu and Austin Miller and Mills, {N. Tanner} and Mouro, {Lucas D.} and Brennan O'Connell and Peters, {Shanan E.} and Simon Poulton and Ritzer, {Samantha R.} and Emmy Smith and Philip Wilby and Christina Woltz and Strauss, {Justin V.}",
note = "Publisher Copyright: {\textcopyright} 2021 Geological Society of America. All rights reserved.",
year = "2021",
doi = "10.1130/GSATG484A.1",
language = "English",
volume = "31",
pages = "4--9",
journal = "GSA Today",
issn = "1052-5173",
publisher = "The Geological Society of America",
number = "5",

}

RIS

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