Infield Systems, now part of Wood Mackenzie (for the full news story please follow this link), is an energy research and analysis firm that is dedicated to the provision of accurate and up-to-date information, databases, research, market forecasts, mapping, commercial market due-diligence, transaction support, business strategy, analysis and intelligence to the global offshore oil, gas, renewable energy and associated marine industries. Over the past 25 years Infield Systems has developed an extensive range of products and services to assist industry professionals, analysts and investors with their business and investment decisions. Within its core markets, Infield Systems has become widely acknowledged as one of the definitive resources of information, research and analysis. Infield Systems services clients from a wide range of organisations including exploration and production companies, service suppliers, offshore contractors, manufacturers, government agencies, financial institutions and investors. In addition Infield provides information, analysis and commentary for the energy trade press and at industry conferences through presentation of papers and keynote speeches. Products and services are broadly divided into the following key areas: - Data Services - Research - Business Strategy & Analysis - Transaction Services

Ireland’s Marine Atlas is developed and maintained by the Marine Institute with funding by the Government of Ireland. This work is part supported by the Irish Government and the European Maritime & Fisheries Fund as part of the EMFF Operational Programme for 2014-2020. The atlas provides a one-stop-shop to view and download marine environmental data relevant to reporting under Ireland’s Marine Strategy Framework Directive (MSFD). The aim of the European Union’s MSFD directive is to protect more effectively the marine environment across Europe through the establishment of “good marine waters”. Data in Ireland’s Marine Atlas has been guided by the European Directive on harmonising environmental data across Europe within a spatial data infrastructure known as INSPIRE. INSPIRE Data Specifications (Data Models) have been used to manage data to the categories visible under THEMES in the atlas. Many of the layers displayed in the Atlas are also used in the National Marine Planning Framework (NMPF). This framework aims to bring together all marine-based human activities, outlining the government’s vision, objectives and marine planning policies for each marine activity. The NMPF report details how these marine activities will interact with each other in an ocean space that is under increasing spatial pressure, ensuring the sustainable use of our marine resources to 2040. Please read the following information carefully as it sets out the terms and conditions that govern the use of products and services on this website. Once you have read these terms and conditions click the "Agree" button at the bottom of the page to proceed. By clicking the "Agree" button you will be deemed to have accepted the terms and conditions, our legal notices and privacy statement.

This is a compilation of OSPAR habitat point data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties. This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2020) was published in July 2021.

NASA's OceanColor Web is supported by the Ocean Biology Processing Group (OBPG) at NASA's Goddard Space Flight Center. Our responsibilities include the collection, processing, calibration, validation, archive and distribution of ocean-related products from a large number of operational, satellite-based remote-sensing missions providing ocean color, sea surface temperature and sea surface salinity data to the international research community since 1996. As a Distributed Active Archive Center (DAAC), known as the Ocean Biology DAAC (OB.DAAC), we are responsible for the archive and distribution of satellite ocean biology data produced or collected under NASA EOSDIS, including those from historical missions and partner space organizations.

The Human Activities portal was not included in the first phase of EMODnet, and its development only begun in September 2013. Nonetheless, in the previous EMODnet phase, the Human Activities team caught up with the other portals, and now work towards providing a seamless multi-resolution digital map of European waters, with the highest resolution possible. EMODnet Human Activities aims to facilitate access to existing marine data on activities carried out in EU waters, by building a single entry point for geographic information on 14 different themes. The portal makes available information such as geographical position, spatial extent of a series of activities related to the sea, their temporal variation, time when data was provided, and attributes to indicate the intensity of each activity. The data are aggregated and presented so as to preserve personal privacy and commercially-sensitive information. The data also include a time interval so that historic as well as current activities can be included. The information provided through the portal is collated from a variety of sources, harmonised and made interoperable. Data are free and free of any restrictions, in such a way as to ensure their use from a multitude of stakeholders (policy makers, researchers, students, spatial planners, etc.).

Marine research is truly multidisciplinary as evidenced by e.g. the EMODnet I, II, and III projects that have been running since 2009. EMODnet Geology has succeeded in bringing together harmonised offshore data including sea-floor geology, seabed substrates, rates of coastline migration, geological events and probabilities and mineral resources. The EMODnet Geology Portal aims at providing harmonised information on marine geology in Europe. It is one of several EMODnet portals with the purpose to strengthen blue growth in Europe.

Portal to view and download observations of Vulnerable Marine Ecosystem (VME) indicators and habitats in the North Atlantic. A central portal for data on the distribution and abundance of Vulnerable Marine Ecosystems (VMEs), (and organisms considered to be indicators of VMEs) across the North Atlantic has been set up by the Joint ICES/NAFO Working Group on Deep-water Ecology (WGDEC). Criteria used to select habitats and indicators for inclusion in the database were those described in the FAO International Guidelines for the Management of Deep-sea Fisheries in the High Seas (FAO, 2009). The database is comprised of: - 'VME habitats' that are records for which there is unequivocal evidence for a VME, e.g. ROV observations of a coral reef - 'VME indicators' which are records that suggest the presence of a VME with varying degrees of uncertainty. For VME indicators a weighting system of vulnerability and uncertainty is provided as part of the database to aid interpretation. The VME database may be used for many purposes. ICES uses it when providing scientifically-robust advice on the distribution of VMEs and recommending possible management solutions such as bottom fishing closures within North East Atlantic Fisheries Commission (NEAFC)​ waters to protect VMEs.

Distribution of unequivocal Vulnerable Marine Ecosystems (VMEs) and VME likelihood based on indicator taxa records, on the North Atlantic (18°N to 76°N and 36°E to 98°W). Several datasets, originating from public databases, literature review and data call to ATLAS partners, were gathered to compute the presence of unequivocal VME habitats in 25km * 25 km cells for the ATLAS work package 3. One layer displays the unequivocal VMEs (value=4) and the assigned high (value=3), medium (value=2) or low (value=1) likelihood of gridsquares to host VMEs, indexed on indicator taxa records from public databases with the method detailed in Morato et al (2018). The second displays the confidence associated to the VME likelihood score, indexed on data quality as detailed in Morato et al (2018) (values for unequivocal VMEs thus 100% confidence=4; high confidence=3; medium confidence=2; low confidence=1). This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.

This data was obtained through a partnership with IMF, as part of IMF's World Seaborne Trade Monitoring System (Cerdeiro, Komaromi, Liu and Saeed, 2020). The data analysis was supported by the World Bank’s ESMAP and PROBLUE programs. The dataset contains 6 density layers, with vessel types aggregated to suit the needs of the WBG Offshore Wind Development Program: 1) Commercial ships 2) Fishing ships 3) Oil & Gas [note: this is just platforms, rigs, and FPSOs] 4) Passenger ships 5) Leisure vessels 6) GLOBAL ship density layers of all ship categories combined

Output of the 2019 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats and aggregated into the Benthic Broad Habitat Types of the Marine Strategy Framework Directive (as defined in the Commission Decision 17 May 2017). The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to the Barents Sea in the north. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: - Biological zone - Energy class - Oxygen regime - Salinity regime - Seabed substrate - Riverine input Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions.