SeaDataNet Temperature and Salinity historical data collection for the Mediterranean Sea contains all open access temperature and salinity in situ data retrieved from SeaDataNet infrastructure. The data span between -9.25 and 37 degrees of longitude, thus including an Atlantic box and Marmara Sea. It covers the time period 1900-2015. Data have been quality checked using ODV software. Quality Flags of anomalous data have been revised using basic QC procedures. For data access please register at http://www.marine-id.org The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/

The vision of the AtlantOS project was to improve and innovate Atlantic observing by using the Framework of Ocean Observing to obtain an international, more sustainable, more efficient, more integrated, and fit-for-purpose system contributing to the Trans-Atlantic Research Alliance, the GEO (Group on Earth Observations) global initiative Blue Planet, and GOOS (Global Ocean Observing Systems). Hence, the AtlantOS project will have a long-lasting and sustainable contribution to the societal, economic and scientific benefit arising from this integrated approach. This will be achieved by improving the value for money, extent, completeness, quality and ease of access to Atlantic Ocean data required by industries, product supplying agencies, scientists and citizens. The overarching target of the AtlantOS initiative was to deliver an advanced framework for the development of an integrated Atlantic Ocean Observing System that goes beyond the state-of–the-art, and leaves a legacy of sustainability after the life of the project (see AtlantOS High-Level Strategy and find out more about the AtlantOS program). The legacy derived from the AtlantOS aims: - to improve international collaboration in the design, implementation and benefit sharing of ocean observing, - to promote engagement and innovation in all aspects of ocean observing, - to facilitate free and open access to ocean data and information, - to enable and disseminate methods of achieving quality and authority of ocean information, - to strengthen the Global Ocean Observing System (GOOS) and to sustain observing systems that are critical for the Copernicus Marine Environment Monitoring Service and its applications and - to contribute to the aims of the Galway Statement on Atlantic Ocean Cooperation The project was organized along work packages on: i) observing system requirements and design studies, ii) enhancement of ship-based and autonomous observing networks, iii) interfaces with coastal ocean observing systems, iv) integration of regional observing systems, v) cross-cutting issues and emerging networks, vi) data flow and data integration, vii) societal benefits from observing /information systems, viii) system evaluation and resource sustainability. Engagement with wider stakeholders including end-users of Atlantic Ocean observation products and services was also key throughout the project. The AtlantOS initiative contributed to achieving the aims of the Galway Statement on Atlantic Ocean Cooperation that was signed in 2013 by the EU, Canada and the US, launching a Transatlantic Ocean Research Alliance to enhance collaboration to better understand the Atlantic Ocean and sustainably manage and use its resources.

The GEBCO_2014 Grid is classified as a historical Gebco dataset with a spatial resolution of 30 arc seconds. Originally published in 2014, last updated in April 2015. The data set is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. Where they improve on this model, data sets generated from other methods are included. The grid is accompanied by a Source Identifier Grid (SID). This indicates if the corresponding cells in the GEBCO_2014 Grid are based on soundings, pre-generated grids or interpolation.

This gridded product visualizes 1960 - 2014 water body total nitrogen concentration (umol/l) in the North Sea domain, for each season (winter: December – February; spring: March – May; summer: June – August; autumn: September – November). It is produced as a Diva 4D analysis, version 4.6.11: a reference field of all seasonal data between 1960-2014 was used; results were logit transformed to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. Every step of the time dimension corresponds to a 10-year moving average for each season. The depth dimension allows visualizing the gridded field at various depths.

Le document présente l'Observatoire des Espaces Naturels, Agricoles, Forestiers et Urbains (NAFU), dispositif où l'Etat et la Région s'unissent pour donner les moyens de prévoir et d'agir

Specification of the desirable and recommended products attributes for generating spatial layers of sea surface temperature for the last 10, 50 and 100 years for the Mediterranean basin and for each NUTS3 region along the coast.

Avec près de 1,4 millions d’hectares de surface agricole utilisée et 100 000 ha d'estives, l'agriculture occupe en 2010 près de 35 % du territoire aquitain. Par son assolement diversifié, elle contribue largement à la diversité des paysages et la structuration de l'espace régional. Toutefois, au cours de la dernière décennie, plus de 96 000 hectares ont quitté le giron de l'agriculture...

This gridded product visualizes 1960 - 2014 water body total phosphorus concentration (umol/l) in the North Sea domain, for each season (winter: December – February; spring: March – May; summer: June – August; autumn: September – November). It is produced as a Diva 4D analysis, version 4.6.11: a reference field of all seasonal data between 1960-2014 was used; results were logit transformed to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. Every step of the time dimension corresponds to a 10-year moving average for each season. The depth dimension allows visualizing the gridded field at various depths.

Specification of the desirable and recommended product attributes for generating spatial layers of annual avergae internal energy for the last 20 years.

This gridded product visualizes 1960 - 2014 water body chlorophyll-a (mg/m^3) in the North Sea domain, for each season (winter: December – February; spring: March – May; summer: June – August; autumn: September – November). It is produced as a Diva 4D analysis, version 4.6.11: a reference field of all seasonal data between 1960-2014 was used; results were logit transformed to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. Every step of the time dimension corresponds to a 10-year moving average for each season. The depth dimension allows visualizing the gridded field at various depths.