Call for papers! Submit your paper to the "International Journal of Data Science and Analytics" before the 30th of June 2024!
This Workbench will improve the availability, quality and interoperability of large collections of plankton observations based on traditional counts, quantitative imaging and genomic methods available from the EMODnet/EurOBIS and ELIXIR data infrastructures.
It will develop a generic modelling workflow in Blue-Cloud 2026 to generate high-quality interpolated maps of the global distribution of these plankton entities. It will provide a sustainable workflow for production of ecosystem-level EOVs following clear QA/QC steps and according to best practices in habitat modelling.
This task if led by Meike Vogt, ETH Zurich. Watch Meike's Interview about this workbench.