Login / Signup

A dataset on trophic modes of aquatic protists.

Lisa K SchneiderKonstantinos AnestisJoost MansourAnna A AnschützNathalie GypensPer J HansenUwe JohnKerstin KlemmJon Lapeya MartinNikola MedicFabrice NotWillem Stolte
Published in: Biodiversity data journal (2020)
This paper describes a dataset that was submitted to WoRMS and links aquatic protist taxa, with a focus on marine taxa, to their AphiaID and their trophic mode. The bulk of the data used for this dataset stems from (routine) monitoring stations in the North Sea and the Baltic Sea. The data were augmented and checked against state-of-the-art knowledge on mixoplankton taxa by consulting literature and experts. Thus, this dataset provides a first attempt to make the trophic mode of aquatic protists easily accessible in both a human- and machine-readable format.
Keyphrases
  • risk assessment
  • electronic health record
  • endothelial cells
  • big data
  • healthcare
  • systematic review
  • clinical practice
  • machine learning
  • induced pluripotent stem cells
  • data analysis