University of Tasmania
Browse

A first global oceanic compilation of observational dissolved aluminum data with regional statistical data treatment

Download (743.28 kB)
journal contribution
posted on 2023-05-21, 07:56 authored by Menzel Barraqueta, JL, Samanta, S, Achterberg, EP, Andrew BowieAndrew Bowie, Croot, P, Cloete, R, De Jongh, T, Gelado-Caballero, MD, Klar, JK, Middag, R, Loock, JC, Tomas Remenyi, Wenzel, B, Roychoudhury, AN
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basins, including data available in the GEOTRACES Intermediate Data product (Schlitzer et al., 2018), but also thus far unpublished data.

Funding

Australian Research Council

History

Publication title

Frontiers in Marine Science

Volume

7

Article number

468

Number

468

Pagination

1-11

ISSN

2296-7745

Department/School

Institute for Marine and Antarctic Studies

Publisher

Frontiers Research Foundation

Place of publication

Switzerland

Rights statement

© 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.

Repository Status

  • Open

Socio-economic Objectives

Measurement and assessment of marine water quality and condition

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC