This data product is a series of probability of occurrence maps for 200 phytoplankton species from 1995 to 2015 in the Greater North Sea, based on a neural network analysis. The input data files have been produced by Deltares (Luuk van der Heijden, Willem Stolte). They used EMODnet-Biology data as a basis. The selection of relevant datasets was optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemented with absence data assuming fixed species lists within each dataset and year. In addition to the occurrence data, the environmental variables bathymetry, silicate, phosphate and nitrate concentrations were used. Additionally the position (latitude and longitude) and the year are provided to the neural network. DIVAnd (n-dimensional Data-Interpolating Variational Analysis) and the neural network library Knet were used in this analysis.

This data product is a series of gridded abundance maps for 40 zooplankton species from 2007 to 2013 in the Baltic Sea, based on a neural network analysis. As input data a combination of EMODnet Biology datasets were used, together with the environmental variables dissolved oxygen, salinity, temperature, chlorophyll concentration bathymetry and the distance from coast. Additionally the position (latitude and longitude) and the year are provided to the neural network. DIVAnd (n-dimensional Data-Interpolating Variational Analysis) and the neural network library Knet were used in this analysis.

This series of products displays the main functional types of benthic macroinvertebrates derived from a multivariate analysis of 13 life history traits. Several occurrence lists from EMODnet Biology were combined. A multivariate analysis of the life history traits revealed three main living modes. All final outcomes were interpolated by DIVAnd, the n-dimensional Data Interpolating Variational Analysis tool.

This series of products displays the distributions of the main functional types of benthic and bentho-pelagic fish species derived from a multivariate analysis of eight life history traits. Species data from the International Bottom Trawl Survey data base was combined with a compiled list of life history traits. A multivariate analysis of the life history traits revealed four main living modes. Interpolated maps of the relative distribution of the four living modes were generated in DIVAnd, the n-dimensional Data Interpolating Variational Analysis tool.