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An integrated individual-level trait-based phytoplankton dataset from transitional waters
Laraib, M.; Titocci, J.; Rosati, I.; Basset, A. (2023). An integrated individual-level trait-based phytoplankton dataset from transitional waters. Scientific Data 10(1): 897. https://dx.doi.org/10.1038/s41597-023-02785-w
In: Scientific Data. Nature Publishing Group: London. ISSN 2052-4463; e-ISSN 2052-4463, meer
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  • Laraib, M.
  • Titocci, J.
  • Rosati, I.
  • Basset, A.

Abstract
    Functional trait-based approaches have undergone an extraordinary expansion in phytoplankton ecology. Morpho-functional traits have been shown to vary both within and between populations and species, potentially affecting individual fitness and the network of inter-individual relationships. Here we integrate six fully harmonized phytoplankton morpho-functional trait datasets, characterized by a fine data grain, reporting individual-level data over a large biogeographical area. Datasets refer to transitional water ecosystems, from five biogeographical areas: Northern Atlantic Ocean (Scotland), South-Western Atlantic Ocean (Brazil), South-Western Pacific Ocean (Australia), Indo Pacific Ocean (Maldives) and Mediterranean Sea (Greece and Turkey). The integrated dataset includes 127311 individual phytoplankton records with sampling locations, taxonomic and morphometric information according to Darwin Core standards and semantic annotations. The six FAIR datasets are openly available in the LifeWatch Italy data portal. The datasets have already been used for morpho-functional analyses and hypothesis testing on phytoplankton guilds at different levels of data aggregation and scale, from local to global.

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