nerc.ac.uk

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. 10.1130/GSATG484A.1

Before downloading, please read NORA policies.
[thumbnail of mehraEtAlManuscript.pdf]
Preview
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): 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 View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...