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Abstract

Large national and international observational efforts over recent decades have provided extensive and invaluable datasets of a range of ocean variables. Compiled large datasets, structured, or unstructured, are a powerful tool that allow scientists to access and synthesize data collected over large spatial and temporal scales. The data treatment approaches for any element in the ocean could lead to new global perspectives of their distribution patterns and to a better understanding of large-scale oceanic processes and their impact on other biogeochemical cycles, which may not be evident otherwise. Ocean chemistry Big Data analysis may not just be limited to distribution patterns, but may be used to assess how sampling efforts and analytical methodologies can be improved. Furthermore, a systematic global scale assessment of data is important to evaluate the gaps in knowledge and to provide avenues for future research. In this context, here we provide an extensive compilation of oceanic aluminum (Al) concentration data from global ocean basins, including data available in the GEOTRACES Intermediate Data product (Schlitzer et al., 2018), but also thus far unpublished data.

Item Type:	Article
Authors/Creators:	Menzel Barraqueta, JL and Samanta, S and Achterberg, EP and Bowie, AR and Croot, P and Cloete, R and De Jongh, T and Gelado-Caballero, MD and Klar, JK and Middag, R and Loock, JC and Remenyi, TA and Wenzel, B and Roychoudhury, AN
Keywords:	database, oceans, aluminum, compilation, biogeochemistry, GEOTRACES
Journal or Publication Title:	Frontiers in Marine Science
Publisher:	Frontiers Research Foundation
ISSN:	2296-7745
DOI / ID Number:	https://doi.org/10.3389/fmars.2020.00468
Copyright Information:	© 2021. The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Related URLs:	Google Scholar: Bowie, AR UTAS Profile: Bowie, AR UTAS Profile: Remenyi, TA
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