A first global oceanic compilation of observational dissolved aluminum data with regional statistical data treatment
| Autor: | Tomas A. Remenyi, M. D. Gelado-Caballero, Jan-Lukas Menzel Barraqueta, Peter Croot, Bernhard Wenzel, Alakendra N. Roychoudhury, Rob Middag, Ryan Cloete, Tara De Jongh, Saumik Samanta, J. C. Loock, Jessica K. Klar, Eric P. Achterberg, Andrew R. Bowie |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences lcsh:QH1-199.5 Geotraces Big data Ocean Engineering Context (language use) Aquatic Science lcsh:General. Including nature conservation geographical distribution Oceanography 01 natural sciences biogeochemistry 14. Life underwater Temporal scales lcsh:Science oceans database 0105 earth and related environmental sciences Water Science and Technology Global and Planetary Change geography geography.geographical_feature_category business.industry 010604 marine biology & hydrobiology Ocean chemistry Sampling (statistics) Data science GEOTRACES 13. Climate action aluminum compilation Environmental science lcsh:Q Oceanic basin Scale (map) business |
| Zdroj: | Frontiers in Marine Science, Vol 7 (2020) |
| Popis: | 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basins, including data available in the GEOTRACES Intermediate Data product (Schlitzer et al., 2018), but also thus far unpublished data. |
| Databáze: | OpenAIRE |
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