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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basins, including data available in the GEOTRACES Intermediate Data product (Schlitzer et al., 2018), but also thus far unpublished data.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:	Refereed Article
Keywords:	database, oceans, aluminum, compilation, biogeochemistry, GEOTRACES
Research Division:	Earth Sciences
Research Group:	Oceanography
Research Field:	Chemical oceanography
Objective Division:	Environmental Management
Objective Group:	Marine systems and management
Objective Field:	Measurement and assessment of marine water quality and condition
UTAS Author:	Bowie, AR (Professor Andrew Bowie)
UTAS Author:	Remenyi, TA (Dr Tom Remenyi)
ID Code:	150206
Year Published:	2020
Funding Support:	Australian Research Council (FT130100037)
Web of Science® Times Cited:	5
Deposited By:	Oceans and Cryosphere
Deposited On:	2022-06-02
Last Modified:	2022-06-02
Downloads:	0