Phytoplankton data collected by the IBSS staff in NW Black Sea along the Tarkhankut transect in April 1952. This dataset contains abundance data (individuals per liter) for phytoplankton taxa. No additional metadata is available.

The AMORE project contributes to the implementation of an integrated land-coastal zone research methodology to assess and predict the eutrophication level of the coastal North Sea and the associated undesirable effects. The ultimate aim is to reduce the current context of uncertainty in which decisions to counteract the eutrophication of the NS and protect its natural resources are made. Process-level field and laboratory-scale experiments were conducted to improve the basic knowledge on mechanisms through which a change in nutrients (in terms of N:P:Si NO3:NH4 inorganic:organic N ratios) induced modification in the phytoplanktonic community structure and hence the functioning of the whole planktonic food-web. For this the MUMM station 330_a has been monitored for a period of three years.

EMODnet Physics - TSM_NorthSea - Concentration of total suspended matter (conc_tsm, mg/l) is a product of the Coastcolour L2W Concentrations Data, obtained from the OC4 algorithm for clear and moderate turbid waters, and from the CoastColour v1 neural network.The L2W product was then remapped on a regular grid, maintaining the 300 m full resolution, in order to obtain L3 products over the North Sea and monthly averaged. Developed by EMODnet Physics.

Global mapped climatologies of temperature using the Data Interpolating Variational Analysis (DIVA) mapping method. This product covers all ocean basins over the years 1972 to 2013, and provides vertically interpolated data onto 33 standard depth surfaces, and gridded by bin averaging in each 1° × 1° grid cell. This product is based on the GLODAP (Global Ocean Data Analysis Project) dataset v2.2016b, built with surface-to-bottom ocean biogeochemical bottle data

Operational in situ river outflow data. The product includes near real time data from European river stations.

Satellite-derived bathymetry for the Venice Lagoon

EMODnet Bathymetry has adopted the CDI Data Discovery & Access service as developed and operated by SeaDataNet, the pan-European network of NODCs, to bring together and provide access to available high resolution bathymetric survey data sets from many data providers, such as National Hydrographic Institutes, Research Institutes, and Survey companies. All bathymetric survey data are described with INSPIRE compliant metadata, following the CDI metadata profile, based on ISO 19115 – 19139 standards. This way, the CDI service gives users a highly detailed insight in the availability and geographical spreading of bathymetric survey data sets that are acquired and managed by an increasing group of data providers and for which users can request access for downloading. The CDI metadata are public domain and freely available for all users. However, a major part of the survey data sets is not freely available and requires negotiation with the data owners. The SeaDataNet CDI search, shopping and tracking mechanism facilitates identifying and requesting access to these background data sets from data providers. Note that all data sets are used internally with permission of the data owners for contributing to the EMODnet Digital Terrain Model (DTM) for the European sea regions. The service URL is : https://geo-service.maris.nl/emodnet_bathymetry/wfs?service=WFS&request=GetCapabilities. The layer in the Map Viewer facilitates users to view the locations of the CDI entries and to retrieve details of individual surveys by clicking on the map. From there users are linked to the actual CDI Data Discovery and Access service (https://cdi-bathymetry.seadatanet.org/search) for performing more queries and submitting requests for data access.

High resolution digital terrain model of the North Frisian waters based on survey data from various sources such as single-beam, multi-beam and Lidar.

High resolution composite DTM based on single beam, multi beam and Lidar covering the Weser and Weser approach. All data acquired in the years 2010-2017.

Multibeam bathymetry collected from Asköfjärden and Fifång Deep, east of Askö Island in southern Stockholm archipelago. The data were collected with Stockholm University research vessels (RV) Electra and Skidbladner between 2012 and 2018 for multiple purposes. Some of the data were collected as a part of a course in marine geophysical mapping at Stockholm University. The processing of the raw data was carried out using the Qimera software by QPS. The data have been cleared for public release by the Swedish Maritime Administration.