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North Sea

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    This gridded product visualizes 1960 - 2014 water body silicate 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 4.6.9: 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.

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    EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants (59 parameters), and covers the North Sea with 34978 CDI records divided per matrices: 3909 biota time series, 28071 water profiles, 2998 sediment profiles. Vertical profiles temporal range is from 1970-02-17 to 2017-10-26. Time series temporal range is from 1979-02-26 to 2017-02-28. Data were aggregated and quality controlled by ‘Aarhus University, Department of Bioscience, Marine Ecology Roskilde from Denmark. Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary. The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ). The same dataset is offered also as XLSX file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc). The 59 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 . Detailed documentation will be published soon. The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search

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    EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity, contaminants and marine litter. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on floating micro-litter. This dataset is the result of a validation and harmonisation process of the datasets concerning floating micro-litter present in EMODnet Chemistry. The datasets concerning micro-litter are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions. Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/ . This process was performed by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy. Harmonisation means that: (1) unit conversion is carried out to express variables with a limited set of measurement units and (2) merging of variables described by different “local names”, but corresponding exactly to the same concepts in BODC P01 vocabulary. The harmonised dataset can be downloaded as ODV collection that can be opened with ODV software for visualization (More information can be found at: https://www.seadatanet.org/Software/ODV ). The same dataset is offered as spreadsheet (txt format, tab separated values) where the values of the categories for the following reported parameters (type, shape, size, color, transparency and material) have been uniformed as labelled in the SeaDataNet H01, H02, H03, H04, H05, H06 vocabularies (https://vocab.seadatanet.org/search ). This format is more adapted to worksheet applications (e.g. LibreOffice Calc).

  • The Institute of Estuarine and Coastal Studies (IECS) was commissioned by Forewind Ltd to carry out a Phase 1 biotope survey of the intertidal zone located between the towns of Redcar and Marske-by-the-Sea, Tees estuary, Teesside. This area has been identified as a preferred landfall location for export cables, with the ultimate aim of connecting offshore wind farms off the Teesside coastline to the National Grid. The intertidal survey was completed as part of the development of the Environmental Impact Assessment (EIA) required from Forewind Ltd to continue with the proposal to use this area as a landfall site.

  • The two SOMLIT-Wimereux time-series data characterize hydrology and plankton biomass and diversity of the eastern English Channel near Boulogne sur mer, located at 50°40,75'N and 1°31,17'E and 1° 24,64'E . Fortnightly measurements have been undertaken since 1998 by a laboratory involving the CNRS, University of Lille and ULCO, named the Laboratory of Oceanology and Geoscience (UMR 8187 LOG) since 2008 (https://log.cnrs.fr). The SOMLIT-Wimereux observation station is a part of the French monitoring network SOMLIT (https://www.somlit.fr/), accredited by the CNRS as a national Earth Science Observatory (Service National d’Observation : SNO). It aims to detect the long-term evolution of these ecosystems including both natural and anthropogenic forcings. The development of a systematic approach to observing coastal environments is the result of local initiatives, based either on opportunities or on a tradition of scientific culture specific to each Marine Station / Marine Laboratory. The federation of these efforts by four French coastal stations (Roscoff, Arcachon-Bordeaux, Marseille, and Villefranche-sur-Mer), through RESOMAR, led to the establishment of the Service d'Observation en Milieu Littoral (SOMLIT) in 1995. In 1996, SOMLIT was accredited by the INSU (Ocean-Atmosphere domain), giving it the status of National Observation Service (SNO). The first banked data appeared in January 1997. Following new evaluations, SOMLIT was again accredited in 2001, 2005, 2009, 2015, and 2020. Since its creation, various Marine Stations have joined SOMLIT:  1996: Roscoff, Arcachon-Bordeaux, Marseille, and Villefranche-sur-Mer  1997 : Banyuls-sur-Mer  1998 : Wimereux and Brest  2007 : Luc-sur-Mer  2011 : La Rochelle  2012 : Dinard  2015 : Sète  2017 : the station of Anglet started the acquisition of SOMLIT parameters. It is not yet in the labelled perimeter. SOMLIT currently includes 11 Marine Stations / Marine Laboratories within its certified perimeter and a Marine Station that acquires data according to SOMLIT protocols. In addition to the acquisition of all the parameters collected under the SNO SOMLIT, additional samples are taken by some LOG researchers to support other SNOs (PHYTOBS, U. Christaki) and related research activities related to the characterization of microbial diversity using molecular tools (S. Monchy & U. Christaki), microbial and phytoplanktonic dynamics using automated approaches (F. Artigas), photosynthetic activity using automated variable fluorescence (F. Lizon) and zooplankton diversity (A. Delegrange). Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

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    This product displays for Nickel, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.

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    This product displays for Tributyltin, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.

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    This product displays for Cadmium, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.

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    This product displays for Mercury, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.

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    This product displays for Fluoranthene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.