부산대학교 도서관

There are a number of plankton trait datasets and plankton compilation efforts that are complementary to the PLET with the potential to feed into future versions of the tool, such as the nutrient utilization trait dataset (Edwards et al., 2015), the Baltic Sea phytoplankton trait dataset (Klais et al., 2017), and the French lake phytoplankton trait database (Laplace-Treyture et al., 2021). 2.1.6 Scotland coastal stations (Scottish Environment Protection Agency) The Scottish Environment Protection Agency (SEPA) collects plankton samples at two near-shore stations (Forth: 56.03 HT ${}^{}$ ht N, 3.18 HT ${}^{}$ ht W; Clyde: 55.95 HT ${}^{}$ ht N, 4.89 HT ${}^{}$ ht W). Because of methodological differences in sampling and analysis, it is not appropriate to produce average lifeforms across the multiple datasets, as such all sample locations within the selected spatial area for any dataset are aggregated into a single lifeform data product, but stations from different datasets are never aggregated. By using these pre-defined lifeforms to group plankton taxa, the new Plankton Lifeform Extraction Tool (PLET), hosted by the Archive for Marine Species and Habitats Data (DASSH, https://www.dassh.ac.uk, last access: 22 November 2021), brings together disparate plankton datasets, increasing their accessibility and promoting compliance with the FAIR data principles (Wilkinson et al., 2016). [Extracted from the article]