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  • The dataset represents the division of the world oceans into provinces as defined by Longhurst (1995; 1998; 2006). The division has been based on the prevailing role of physical forcing as a regulator of phytoplankton distribution. The dataset contains the initial static boundaries developed at the Bedford Institute of Oceanography, Canada. Note that the boundaries of these provinces are not fixed in time and space, but are dynamic and move under seasonal and interannual changes in physical forcing. At the first level of reduction, Longhurst recognised four principal biomes: the Polar biome, the Westerlies biome, the Trade winds biome, and the Coastal biome. These four biomes are recognised in every major ocean basin. At the next level of reduction, the ocean basins are divided into provinces, roughly ten for each basin. These regions provide a template for data analysis or for making parameter assignments on a global scale. This data set has been used as one of the data inputs in the Atlantic REMP project. This project, funded by the European Union, worked together with stakeholders to produce a draft Regional Environmental Management Plan (REMP) for the Area in the North Atlantic, with a focus on the polymetallic sulphide deposits of the Mid-Atlantic Ridge which are of interest for deep-sea mining. There was close collaboration with the International Seabed Authority (ISA) and a consortium of scientific organisations. Marine data from multiple data services underpinned the environmental management plan development. A selection of the data sets is included in EMODnet Ingestion for wider distribution.

  • Galata platform real time data is one of the most important sources of multi-parameter operational information in the Black Sea which will serve for monitoring, verification and improvement of modeling results and forecasts as well as for collecting long time series of data needed for climatic research. It also provides useful real time information for marine industry and safety.

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    This ongoing collaboration between Ghent University (UGent), Biology Department, Marine Biology Section and Flanders Marine Institute (VLIZ) aims at integrating historical hyperbenthic data. The data is stored in the IMERS database at VLIZ.

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    Nematode communities were sampled at three localities along the Belgian coast

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    The database contains abundance of main meiofaunal groups and of harpacticoid copepods separately. There are also data present from a recolonisation study.

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    The principle aim of this research was to investigate the morphometry of nematode communities as triggered by a phytoplankton spring bloom deposition in a well oxygenated North Sea sampling station. Length and width measurements are available together with densities.

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    This dataset arises from probably the first study on the effects of TBT on meiobenthic communities. Microcosm experiments were conducted where meiobenthos is concentrated in TBT contaminated and uncontaminated sediments.

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    This dataset is the result of a laboratory experiment to determine the response of benthic nematode communities to different pollutants in various doses and in two sediment types. The Lynher estuary is characterised by muddy sediments, whereas the Exe estuary is sandy.

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    This dataset is the result of a laboratory experiment to determine the response of benthic nematode communities to different pollutants in various doses and in two sediment types. The Lynher estuary is characterised by muddy sediments, whereas the Exe estuary is sandy.

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    Estuarine pollution gradient.Transect through dredgings disposal site, 7 stationson a 10m contour, 4 reps, (craib cores and Day grab (subsamples of 50ml syringe to a depth of 5cm))