This dataset contains data collected by the MEDISEH project. It contains amoung other things distribution maps of Coralligenous, mäerl and Seagrass beds along the Mediterranean coasts.

The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 20 most common species of (phyto)plankton in the Greater Baltic Sea.

Probability of occurrence of different macroinvertebrate benthic species in the North Sea. This product was created using DIVAnd, an interpolation method that takes into account several environmental variables and physical coastlines.

The data product on benthic living modes (Beauchard, 2018), was based on an extensive compilation of data on benthic abundance and biomass. However, this dataset was only present as a data file, without the underlying scripts to reproduce the result. With the present data product, we correct this procedural gap. This dataset differs in details from the file underlying the data product on living modes. Datasets were selected that were sufficiently similar in methods for sampling (either boxcore or grab), sampled surface (in the order of 0.1 square meter, although the exact value is variable - it can be found back in the data files) and sieves (1 mm and 0.5 mm sieves were included). For all datasets, abundance was either used directly from the given abundance in the dataset, or calculated from the given counts and area sampled.

<p>This dataset includes the data used in in the HELCOM/OSPAR Ballast Water Exemptions Decision Support Tool. This tool was developed in 2013 based on the overall IMO framework, the 21 Baltic and North-East Atlantic coastal states and the EU. It allows user to define 'low risk' routes, as well as other necessary steps in granting exemptions under regulation A-4 of the IMO Ballast Water Management Convention (BWM</p>

<p>This dataset contains the geographic projections of the modeled thermal distribution of intertidal macroalgae. Two variables are included: Habitat suitability maps and its derived binary distribution.-nbsp;</p><p>This is part of an intermediate step of the CTI methodology and these distributions will be used to estimate the -nbsp;<a href="https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/6d617269-6e65-696e-666f-000000008772">Community Temperature Index for the communities</a> product, which includes cover date of intertidal macroalgae along the coast of NW Spain.</p>

<p>This product enables users to assess spatial and temporal change in fish functional feeding traits across the northeast Atlantic shelf seas. Values are based on non-metric multidimensional axis scores, weighted by biomass observed in otter trawl surveys.</p>

<p>Biodiversity loss due to human activities is an increasing threat for marine ecosystems and the services we obtain from them. As biodiversity is directly related to the resilience of ecosystems to temporary disturbance, biodiversity monitoring is a vital task for areas subjected to conservation goals. Environmental factors often control the community composition and biodiversity of marine plankton, such as the pronounced salinity gradient in the Baltic Sea (e.g. Hu et al. 2016). Time series data of biodiversity can therefore provide an indication of changes in community composition due to environmental stressors, such as climate change or eutrophication.</p><p>As many biodiversity estimates are biased by sampling effort, caution must be taken when interpreting alpha diversity from microscopy counts. By rarefaction and evenness estimation, these biases can be reduced, but not ignored.</p>

<p>Due to fishing and other human activities, reef forming species have almost completely disappeared over roughly the past century. They are important structures that accommodate juvenile fish and other small organisms. For protection of areas where such reefs could possibly be reintroduced, it is important to define areas that are suitable habitats. This product aims to classify areas in the North Sea based on current occurrence in combination with environmental variables that are particularly suitable for these organisms.</p>

<p>Loggerhead turtles (<i>Caretta caretta</i>) are a globally vulnerable species of marine turtle. The Mediterranean Sea subpopulation, which ranges throughout the entire Mediterranean basin, is listed as least concern by the International Union for the Conservation of Nature (IUCN), but experiences significant threats in the region including bycatch in fisheries, climate change, coastal development, and marine pollution. Broad-scale patterns of distribution and abundance can provide regional managers a tool to effectively conserve and manage this species at basin and sub-basin scales.</p>