To understand the full benefits of EMODnet, users are kindly asked to describe how EMODnet supports them in their daily work and activities.
If you have developed an application using EMODnet products that you would like to share with us or if you use EMODnet data for other purposes, submit your use case by contacting secretariat@emodnet.ec.europa.eu.
The Horizon Europe MSP4Bio project used EMODnet multidisciplinary marine in situ data, including from Bathymetry, Biology and many other thematic data, to inform an Ecological-Socio-Economic (ESE) management framework used for science-based MSP to safeguard and restore biodiversity in a coherent European MPA network.
University of Girona used EMODnet datasets in the Horizon EU project Blue-Paths, to develop a dashboard demonstrator with the goal to inform the wider audience about the geographic and social, ecological and economic characteristics of the high-potential areas for offshore wind energy in the Spanish sea space in a dynamic manner.
The University of Aegean is a partner in the MUSICA (Multiple Use of Space for Island Clean Autonomy) project, that developed a smart multi-usage of space (MUS) platform for the concurrent use of three types of renewable energy – wind, photovoltaic and wave – at small islands. The MUS also contributed to the advancement of a successfully tested multi-use platform (MUP), which was previously developed by the University of Aegean and the private company EcoWindWater. In the process of finding optimal siting areas for the MUP, MUSICA used EMODnet map services and data to highlight areas of potential constraints.
A joint Copernicus Marine and EMODnet data catalogue for the Marine Strategy Framework Directive (MSFD) has been developed. It gathers all relevant marine data products from Copernicus Marine Serviceand EMODnet for all the MSFD descriptors (except Descriptor 4) in the Baltic Sea.
The EMODnet Human Activities portal has become a vital tool for C2Wind, a Danish company working in the wind industry. Wind farm and hydrocarbon extraction datasets are the most commonly explored datasets, identifying locations of already existing structures. Additional datasets on occasion are surveyed to provide the full extent of human activities. This crucial information is used in the preliminary phases of projects, determining areas of interest for the development of wind farm projects.
HeraSpace used EMODnet Human Activities as a data source to feed their neural machine-learning algorithm, which has been designed within the European Space Agency Business Centre in Madrid. The goal is to avoid that vessels might fish in vulnerable or restricted areas, by detecting their coordinates and excluding them from the predictions.
EMODnet is assisting the building of the infrastructure supporting a set of studies, carried out in accordance with the Spanish Environmental Impact Assessment procedure, needed to make the territorial and environmental diagnosis of the effects caused by the project. One example of these studies is represented by the paper published by the consultancy company Biosfera XX Estudios Ambientales where the data made available by EMODnet Bathymetry, Human activities and Seabed Habitats have been used.
In a recent research paper (Effrosynidis et al., 2018), the Democritus University of Thrace (DUTH) aggregated CMEMS and EMODnet data to investigate the influence of environmental conditions on the presence-absence and the distribution of seagrass species over the Mediterranean Sea