Curation and analysis of global sedimentary geochemical data to inform earth history
Mehra, A; Keller, C. B; Zhang, T; Tosca, N; McLennan, S; Sperling, E; Farrell, U; Brocks, J; Canfield, D; Cole, D; Crockford, P; Cui, H; Dahl, T; Dewing, K; Emmings, Joseph F. ORCID: https://orcid.org/0000-0003-2084-0501; Gaines, R; Gibson, T; Gilleaudeau, G; Guilbaud, R; Hodgskiss, M; Jarrett, A; Kabanov, P; Kunzmann, M; Li, C; Loydell, D; Lu, X; Miller, A; Mills, N. T.; Mouro, L; O'Connell, B; Peters, S; Poulton, S; Ritzer, S; Smith, E; Wilby, Philip; Woltz, C; Strauss, J. 2021 Curation and analysis of global sedimentary geochemical data to inform earth history. GSA Today, 31 (5). 4-10. https://doi.org/10.1130/GSATG484A.1
Before downloading, please read NORA policies.
|
Text
mehraEtAlManuscript.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial 4.0. Download (145kB) | Preview |
Abstract/Summary
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 sedimentary 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.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | https://doi.org/10.1130/GSATG484A.1 |
NORA Subject Terms: | Earth Sciences Data and Information |
Date made live: | 12 Apr 2021 09:36 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/530013 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year