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.

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.

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.

FishStatJ is a Windows and Mac application that anyone can use to access FAO’s Fisheries and Aquaculture statistics. They include datasets on production, trade and consumption. Data can be extracted and aggregated according to different level of details and international standard classifications. It consists of a main application and several workspaces that include the datasets.

This dataset shows the global distribution of over 1,300 estuaries, including some lagoon systems and fjords. The majority of estuaries are represented by polygons, except for 44 records for which points are available. This dataset was developed by Sea Around Us (www.seaaroundus.org).

Stakeholder networks from 32 countries united to collaborate on Ocean Action, Climate Action, addressing pollution from land-based, riverine and marine-based sources and advancing Circular Economy development. International Waste Platform provides international expertise and launches joint initiatives; It supports advancing solutions to mitigate the global waste, plastic pollution & climate crises which are interlinked. Representatives committed themselves to align objectives, to support the implementation of strategies of Ocean Action and Climate Action, as well as to share ideas, best practices, concepts, programs, knowledge and opportunities; including the reduction of plastic debris at the source, before it enters rivers and the coastal environment. Country / regional networks and national marine debris networks make a difference in societal behaviour change and environmental policies by providing input and promoting action which aims at finding solutions to reduce (ocean) plastic pollution. Country and regional networks are instrumental to reach the prevention and reduction of marine pollution, facilitate and foster the establishment of national and international partnerships in a multi-stakeholder approach.

This layer shows the current known extent and distribution of live hard coral cover in European waters, collated by EMODnet Seabed Habitats. The polygons portion was last updated in 2019. The points were added in Sept 2021. Lophelia pertusa and Coral gardens are both on the OSPAR List of threatened and/or declining species and habitats. The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Hard coral cover and composition (sub-variable: Live hard coral cover and extent), as defined by the Global Ocean Observing System (GOOS). This data product should be considered a work in progress and is not an official product.

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.

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.