Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
Auteur(s): Grossin Eric - Piquet Patricia, Historique du développement urbain de Bayonne. Projet d'un nouveau pont et de l'aménagement des berges de l'Adour en vue d'exploiter le potentiel fluvial.
Contaminants-Naphthalene: stations above LOD/LOQ v2019
This product displays the stations where naphthalene has been measured and the values present in EMODnet Chemistry infrastructure are always above the limit of detection or quantification (LOD/LOQ), i.e quality value equal to 1. It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station (above, below or above/below). EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products. To produce the maps the following process has been followed: 1. Data collection through SeaDataNet standards (CDI+ODV) 2. Harvesting, harmonization, validation and P01 code decomposition of data 3. SQL query on data sets from point 2 4. Production of map with each point representing at least one record that match the criteria The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols. Preliminary processing were necessary to harmonize all the data : • For water: contaminants in the dissolved phase; • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans • Exclusion of data values equal to 0
Concentration of polycyclic aromatic hydrocarbons (PAHs) in biota
Concentration of polycyclic aromatic hydrocarbons (PAHs) in sediment samples
Concentration of polycyclic aromatic hydrocarbons (PAHs) in the water column
The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search
[ARCHIVE] Global Ocean NRRS, BBP, CDM, KD, ZSD, SPM (Copernicus-GlobColour) from Satellite Observations: Daily (Near Real Time)
'''This product has been archived''' For operationnal and online products, please visit https://marine.copernicus.eu '''Short description :''' For the '''Global''' Ocean '''Satellite Observations''', ACRI-ST company (Sophia Antipolis, France) is providing '''Chlorophyll-a''' and '''Optics''' products [1997 - present] based on the '''Copernicus-GlobColour''' processor. * '''Chlorophyll and Bio''' products refer to Chlorophyll-a, Primary Production (PP) and Phytoplankton Functional types (PFT). Products are based on a multi sensors/algorithms approach to provide to end-users the best estimate. Two dailies Chlorophyll-a products are distributed: ** one limited to the daily observations (called L3), ** the other based on a space-time interpolation: the '''"Cloud Free"''' (called L4). * '''Optics''' products refer to Reflectance (RRS), Suspended Matter (SPM), Particulate Backscattering (BBP), Secchi Transparency Depth (ZSD), Diffuse Attenuation (KD490) and Absorption Coef. (ADG/CDM). * The spatial resolution is 4 km. For Chlorophyll, a 1 km over the Atlantic (46°W-13°E , 20°N-66°N) is also available for the '''Cloud Free''' product, plus a 300m Global coastal product (OLCI S3A & S3B merged). *Products (Daily, Monthly and Climatology) are based on the merging of the sensors SeaWiFS, MODIS, MERIS, VIIRS-SNPP&JPSS1, OLCI-S3A&S3B. Additional products using only OLCI upstreams are also delivered. * Recent products are organized in datasets called NRT (Near Real Time) and long time-series in datasets called REP/MY (Multi-Years). The NRT products are provided one day after satellite acquisition and updated a few days after in Delayed Time (DT) to provide a better quality. An uncertainty is given at pixel level for all products. To find the '''Copernicus-GlobColour''' products in the catalogue, use the search keyword '''"GlobColour"'''. See [http://catalogue.marine.copernicus.eu/documents/QUID/CMEMS-OC-QUID-009-030-032-033-037-081-082-083-085-086-098.pdf QUID document] for a detailed description and assessment. '''DOI (product) :''' https://doi.org/10.48670/moi-00102
The myOcean products depends on other products for production or validation. The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 Xpath = "gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' or 'upstream-production']")
C-RAID improve the access to historical drifter data: Copernicus Reprocessing of Argos and Iridium Drifters (C-RAID)
C-RAID: Comprehensive Reprocessing of Drifting Buoy Data (1979-2018) The C-RAID (Copernicus - Reprocessing of Drifting Buoys) project delivers a comprehensive global reprocessing of historical drifting buoy data and metadata, providing climate-quality observations for marine and atmospheric research. Dataset Overview The C-RAID dataset encompasses metadata from 21 858 drifting buoys deployed between 1979 and 2018. Of these, 17 496 buoys have undergone complete reprocessing with scientific validation in delayed mode, including comparison against ERA5 reanalysis. Project Context Managed by the WMO DBCP Drifting Buoys Global Data Assembly Centre (GDAC) through Ifremer, Météo-France, and Ocean Sciences Division of Fisheries and Oceans Canada, C-RAID focuses on enhanced quality control and delivery of climate-quality drifting buoy data for the Marine Climate Data System (MCDS). Objectives - Complete reprocessing and clean-up of the historical drifting buoy data archive - Recovery and rescue of missing datasets - Reprocessing of Argos data with improved positioning using Kalman filter algorithms - Homogenization of quality control procedures across marine and atmospheric parameters Funding & Governance C-RAID was funded by the Copernicus Programme through the European Environment Agency (Contract # EEA/IDM/15/026/LOT1), supporting cross-cutting coordination activities for the in-situ component of Copernicus Services. Stakeholders & Partnerships The project is led by the DB-GDAC consortium (Ifremer, Météo-France) in collaboration with EUMETNET's E-SURFMAR programme, NOAA AOML, and JCOMMOPS. Key Achievements - Reprocessing of approximately 24 000 buoy-years of observations - Recovery of missing datasets and metadata through data rescue efforts - Implementation of homogeneous, rich metadata and data formats - Enhanced Argos location accuracy using Kalman filter reprocessing - Standardized quality control and validation procedures Data Access & FAIR Principles C-RAID provides FAIR (Findable, Accessible, Interoperable, Reusable) data access through: - Web-based data discovery portal for human users - API services for data discovery, subsetting, and download (machine-to-machine access) Target Users The dataset serves major operational and research programmes including: - Copernicus Climate Change Service (C3S) - Copernicus Marine Environment Monitoring Service (CMEMS) - iQuam (in-situ SST Quality Monitor) - ICOADS (International Comprehensive Ocean-Atmosphere Data Set) - GHRSST (Group for High Resolution Sea Surface Temperature) - ISPD (International Surface Pressure Databank) - ICDC (Integrated Climate Data Center)
Stomach contents of small pelagic fishes in the Bay of Biscay
This dataset comprises stomach contents of small pelagic fish species on the french shelf of the Bay of Bisacy, in spring, autumn and winter, from 2004 to 2024. The spring data were acquired in May on the pelagic survey series PELGAS from 2004 to 2024, the autumn data in October/Novermber on the demersal survey series EVHOE from 2020 to 2024 and the winter data were acquired on chartered fishing vessels in February 2023 and 2024. The dataset concerns anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus) in the 3 seasons and also mackerel (Scomber scombrus), sprat (Sprattus, sprattus) and horse mackerel (Trachurus trachurus) in spring for some years. The dataset represents a unique long-term monitoring of stomach contents characterized with a low taxonomic resolution and semi-quantitative abundance quotation. The pelagic ecosystem survey PELGAS (Doray et al., 2018) is run in each year in May since 2000, to monitor the Bay of Biscay pelagic ecosystem at springtime and assess the biomass of its small pelagic fish species. During the survey, pelagic trawl hauls are undertaken to identify echotraces to species and to measure individual fish traits. All hauls are performed during day time. In 2010, some hauls were undertaken at night to sample stomach contents over the day/night cycle. The fish stomachs are sampled from the haul catch. For a given species, twenty individuals are selected at random from the catch, their stomachs dissected and preserved. This is repeated at three hauls in each of the ten spatial strata defined to cover the entire Biscay shelf. In some years, fish length categories (lower and greater than 14 cm for anchovy and 18 cm for sardine) were also considered when sampling the stomachs. Stomach sampling by species depended on the trawl haul catch and all species were not systematically sampled jointly at the same trawl haul. Also, the number of stations with stomach sampling varied between species and years. The stomachs were preserved in formaline until 2018 and in ethanol since. Anchovy and sardine stomach sampling on the demersal survey EVHOE (Mahe and Poulard, 2005) followed the same protocole as for PELGAS but with fewer stations, depending on the catch of anchovy and sardine in the bottom trawl. In 2020 due to the Covid pandemic, the PELGAS survey was canceled and to compensate, a pair-trawler was chartered in autumn to perform some pelagic trawl hauls during the EVHOE 2020 survey. In winter 2023 and 2024 a pair-trawler was also chartered, for identifying echotraces observed previously on the survey DRIX (Doray et al., 2024) in the area delimited by the Gironde and Loire estuaries, the coast and the 100 m isobath. On the fishing vessels the fish were frozen onboard, the stomachs were dissected on land in the laboratory and preserved in ethanol. The taxonomic analysis of the stomach contents was performed in the laboratory under a binocular magnifyer by the company LAPHY. A simplified taxonomic resolution was used, which considered five ichtyoplankton groups, two copepod groups, euphausids or mysids, amphipods, two decapod groups, other crustacea, other zooplankton, phytoplankton and pulp. Taxon abundance was defined by a quotation : 0 (absence), 1 (presence : <10 individuals), 2 (abundant : between 10 and 100), 3 (very abundant : > 100). The dataset comprises trawl haul information, information on the quality of the stomach contents and abundance quotes for the list of plankton taxons. A preliminary analysis of the data (Petitgas, 2024) showed a large overlap in stomach contents between species, the importance of small copepods in the diets, and how different drivers such as habitat and length influence the diets.
At sea during the PELGAS surveys, the R/V Thalassa was equiped with two two-door pelagic trawls (Brabant and Nedelec, 1988 for detailed plans). One trawl had a headline of 76 m and a foot rope of 70 m and the other trawl dimensions were 57 m x 52 m. This latter trawl was operated when bottom depths were below 50 m. The trawl was hauled close to bottom (mainly) or surface, depending on the fish school echotraces to catch. During the EVHOE survey, R/V Thalassa used a large vertical opening bottom trawl (GOV: Brabant and Nedelec, 1988 for detailed plans). The fish stomachs were dissected onboard and preserved, except for the sampling on chartered fihsing vessels, where they were frozen onboard and later dissected onland and preserved. In the laboratory, zooplankton taxonomic groups in the stomach contents were identified under a binocular stereomicroscope by the company LAPHY.
Physical disturbance to seabed in Europe Seas, Jan. 2020
This raster dataset represents physical disturbance to the seabed in the European seas. Several human activities disturb the seabed either directly or indirectly. Alteration of benthic living conditions as a result of increased sedimentation or attenuation of light penetration, abrasion of the seabed and exploitation of benthic biota, temporarily disturb the benthic habitat quality. The dataset is an aggregation of several different human activities that cause physical disturbance to the seabed: aquaculture, demersal fishing, dredging and dumping of dredged material, oil and gas rigs, offshore installations, ports, sand and gravel extraction, shellfish mariculture, shipping in shallow waters and windfarms. The resulting dataset is a raster (10km grid cell) derived from EMODnet, MED-IAMER, JRC-STECF, OSPAR, HELCOM and 4C Offshore datasets, and with reference temporal coverage from 2012 to 2017. This dataset has been prepared for the calculation of the combined effect index, produced for the ETC/ICM Report 4/2019 "Multiple pressures and their combined effects in Europe's seas" available on: https://www.eionet.europa.eu/etcs/etc-icm/etc-icm-report-4-2019-multiple-pressures-and-their-combined-effects-in-europes-seas-1.
License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Copyright holder: European Environment Agency (EEA).
The dataset was created by combining 9 different human activities layers: 1. Aquaculture (EMODnet: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Finfish+Production, MED-IAMER: https://www.msp-platform.eu/projects/med-iamer-integrated-actions-mitigate-environmental-risks-mediterranean-sea) 2. Demersal fishing (European Commission’s Joint Research Centre - Independent experts of the Scientific, Technical and Economic Committee for Fisheries (JRC STECF), OSPAR, HELCOM, see "Bycatch by bottom touching mobile gears in Europe Seas, Jan. 2020") 3. Dredging and dumping of dredged material (EMODnet Human Activities: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Dredging, https://www.emodnet-humanactivities.eu/search-results.php?dataname=Dredge+Spoil+Dumping+%28Points%29, https://www.emodnet-humanactivities.eu/search-results.php?dataname=Dredge+Spoil+Dumping+%28Polygons%29) 4. Oil and gas rigs, offshore installations (EMODnet: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Offshore+Installations, MED-IAMER: https://www.msp-platform.eu/projects/med-iamer-integrated-actions-mitigate-environmental-risks-mediterranean-sea) 5. Ports (based on EMODnet vessel density 2017, see: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+) 6. Sand and gravel extraction (EMODnet Human Activities: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Aggregate+Extraction+Points) 7. Shellfish mariculture (EMODnet: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Shellfish+Production, MED-IAMER: https://www.msp-platform.eu/projects/med-iamer-integrated-actions-mitigate-environmental-risks-mediterranean-sea) 8. Shipping in shallow waters (based on EMODnet vessel density 2017 - see: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+, and EMODnet bathymetry 2016 - see: https://portal.emodnet-bathymetry.eu/) 9. Windfarms (4C Offshore database: https://www.4coffshore.com/windfarms/) Most activity layers were in presence/ absence (1/0) format, except for the demersal fishing and shipping in shallow waters layers which depicted the intensity of the pressure (i.e. the scale was 0–1 after normalization). All human activities layers were normalized and then summed into one raster. The temporal extent varies between the data sources.
This data set corresponds to the global offshore wind farm boundaries with the following attributes for each project: + WindfarmId (ID of the windfarm) + Name (Name of the windfarm) + Country (Country code) + Status (Status code) + WindfarmStatus (Windfarm Status or Project Status) + StatusComments (Comments on the Windfarm Status or Project Status) + CapacityMWMin (Capacity of the windfarm - Min) + CapacityMWMax (Capacity of the windfarm - Max) + NoTurbinesMin (Number of turbines - Min) + NoTurbinesMax (Number of turbines - Max) + Comments (Comments) + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min) + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max) + OtherNames (Other name of the windfarm) + CountryName (Country where the windfarm is set) + Lat (Geographic coordinate - centre latitude) + Lon (Geographic coordinate - centre longitude) + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.) + IsOnHold + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm) + OffshoreConstructionStarts The frequency of the database release is monthly. This data set corresponds to the release of January 2020. This data set is strictly for internal EEA use as is subjected to a commercial license. Given the limited user subscriptions available, interested users should contact the SDI Team (sdi@eea.europa.eu) to be granted access to the data set.
License terms (extract of the original license): 1. The geo-spatial data set of global offshore windfarms is available for use by a limited number of identified users (5) strictly for internal EEA use. 2. General terms and conditions: The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). The buyer (EEA) cannot alter or remove any trademark, copyright or other notice from copies of the product. All products may be copied for personal use only. If the dataset is used to provide market analysis to third parties, the Seller must be fully cited as the data sources. Raw data cannot be supplied to third parties. 3. Specific EEA conditions: The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form and a modified form. However, the dataset CANNOT be made available for download in any form. To access the original full content of the license agreement please contact the SDI Team (sdi@eea.europa.eu).
public access limited according to Article 13(1)(d) of the INSPIRE Directive
public access limited according to Article 13(1)(e) of the INSPIRE Directive
Different sources are used e.g. news reports, press releases, communications with companies.
Distribution of Gadoids from CPR samples for period 4 (years 1978 to 1984) - Kriging
Fish larvae were collected by the continuous plankton recorder (CPR, operated by SAHFOS) all year long between 1951 and 2005 along transects in the Celtic Sea and English Channel. The CPR is towed by ships of opportunity at speeds of 15 to 20 knots, at an approximate depth of 10 m. Water enters the recorder through an aperture of 1.27 cm2, and is filtered through a continuously moving band of silk with an average mesh size of 270 μm.
Has to be cited this way in maps : "Source CHARM Consortium"
Has to be cited this way in bibliography : "Carpentier A, Martin CS, Vaz S (Eds.), 2009. Channel Habitat Atlas for marine Resource Management, final report / Atlas des habitats des ressources marines de la Manche orientale, rapport final (CHARM phase II). INTERREG 3a Programme, IFREMER, Boulogne-sur-mer, France. 626 pp. & CD-rom"
In all, over 50 taxonomic groups of ichthyoplankton were identified, but we focused on the 6 most abundant groups of fish larvae, clupeids (Clupeidae), Atlantic mackerel (Scomber scombrus), rocklings, horse mackerel (Trachurus trachurus), whiting (Merlangius merlangus), and gadoids (Gadidae). These were the only taxonomic groups for which we had enough positive samplings points in order to produces maps of distribution. The data are aggregated by 7 years periods (1: 1957 to 1963, 2: 1964 to 1970, 3: 1971 to 1977, 4: 1978 to 1984, 5: 1985 to 1991, 6: 1992 to 1998 and 7: 1999 to 2005) and by trimesters. The number of points by year/trimester periods is calculated. For each year/trimester period, the number of non-zero observation for each species/species group is also calculated. If this number is less than 10, the species/group species and period is plotted as a bubble plot. If it is more than 10, the sampling will be interpolated by kriging to have a presence map in the whole area
Fish and shellfish catch statistics | Fish and shellfish catch statistics | European Commission | DCF landings and discards by species - IFREMER
Man-made structures | Infrastrusture Types (Tourism, Industrial…) | Northeast Ocean Data : Map and Data for ocean planning in the Northeastern United States | Marinas by County
/Activités et Usages/Industrie et énergie
/Activités et Usages/Pêche et Aquaculture
/Activités et Usages/Transport maritime et Ports
/Activités et Usages/Urbanisation et Artificialisation
/Données dérivées/Références statistiques
Information retrieved upon specific request to the data source
There is detailed information provided to understand data policy
Area management/restriction/regulation zones and reporting units
Manual process: Order form/invoice is requested
Data sets are not referenced in a catalogue or are referenced in a non public catalogue
Atlantic - CH02 - Marine Protected Areas
Use of open search engines, searching by name either the data provider or the characteristics
Format proprietary but content clearly specified
Online discovery + downloading + viewing services (Advanced services)
Infrastrusture Types (Tourism, Industrial…)
The datasets are referenced in a public national catalogue, in an international catalogue service
Proposal for generating dedicated maps on contaminants
C-RAID drifters NetCDF format reference manual
ISPRA-Institute for Environmental Protection and Research
National Institute of Oceanography and Applied Geophysics - OGS, Division of Oceanography
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory
University of Plymouth, Institute of Marine Studies
Northern Ireland Environment Agency, Water Management Unit
Scottish Environment Protection Agency, Stirling Office
Leibniz Institute for Baltic Sea Research Warnemünde
State Office for Water Economy and Shore, Schleswig-Holstein, Kiel
CNR, Istituto di Scienze Marine (Sezione di Venezia - ex IBM)
CNR, Institute of Marine Science (ISMAR) (Lesina)
CNR, Institute of Marine Science (ISMAR) - Ancona
CNR, Institute of Marine Science (ISMAR) - Bologna
Hellenic Centre for Marine Research, Institute of Oceanography (HCMR/IO)
CNR, Institute for the Marine and Coastal Environment (IAMC) - Napoli
National Centre for Scientific Research 'Demokritos', Institute of Nuclear Technology - Radiation Protection, Environmental Radioactivity Laboratory (ERL/INTRP/NCSRD)
University of Athens, Department of Chemistry, Division of Inorganic and Environmental Chemistry, Environmental and Marine Chemistry Group (EMCG/UATH)
UNIVERSITE DE PARIS VI / GEOSCIENCES AZUR - SITE DE VILLEFRANCHE / OOV
Polish Geological Institute - National Research Institute, Branch of Marine Geology (PGI BMG)
IVL Swedish Environmental Research Institute - Stockholm
Finnish Institute of Marine Research (FIMR)
P.P.Shirshov Institute of Oceanology, RAS
Bulgarian National Oceanographic Data Centre(BGODC), Institute of Oceanology
Iv.Javakhishvili Tbilisi State University, Centre of Relations with UNESCO Oceanological Research Centre and GeoDNA (UNESCO)
Institute of Marine Sciences, Middle East Technical University
National Institute for Marine Research and Development "Grigore Antipa"
Center for marine research - Rudjer Boskovic Institute
Aarhus University, Department of Bioscience, Marine Ecology Roskilde
Istanbul University, Institute of Marine Science and Management
Laboratory of Physical Oceanography/ UNIVERSITE DE BRETAGNE OCCIDENTALE (UBO)
Ukrainian Hydrometeorological Institute - Marine Branch
Murmansk Hydrometeorological Administration of Roshydromet
North-Caucasus Regional Administration of Hydrometeorology of Roshydromet
Odessa Branch of SOI (State Oceanographic Institute)
Tuapse Hydrometeorological Bureau, North-Caucasus Centre
Israel Oceanographic and Limnological Research (IOLR)
Federal Research Centre for Fisheries (Cuxhaven)
Federal Research Centre for Fisheries (Hamburg)
State Agency for Environment, Nature and Geology, Mecklenburg-Vorpommern
Aquitaine Observatory of Sciences of the Universe - University of Bordeaux (OASU)
ARPA Friuli-Venezia Giulia - Alto Adriatico Observatory
BRGM / Office of Geological and Mining Resources
UNIVERSITE DE BRETAGNE OCCIDENTALE (UBO) /Ocean Geoscience Laboratory (LGO)
UNIVERSITE DE LA MEDITERRANNEE (U2) / CENTRE D'OCEANOLOGIE DE MARSEILLE
UNIVERSITE DE NANTES / LAB.DE GEOLOGIE MARINE ET APPLIQUEE
UNIVERSITE DE RENNES I / LABORATOIRE DE GEOSCIENCES - UMR CNRS 6118
Ukrainian scientific center of Ecology of Sea (UkrSCES)
State Agency for Nature and Environment of Schleswig Holstein (LANU)
National Institute of Biology - Marine Biology Station
Lower Saxony Water Management, Coastal Defense and Nature Conservation Agency
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
Institute for Agricultural and Fisheries Research, Animal Sciences Unit - Fisheries
Rijkswaterstaat Water, Traffic and Environment
Institute of Geology and Geography of Nature Research Centre
State Oceanographic Institute, Sebastopol Branch (SB SOI)
Ifremer / VIGIES (Information Valuation Service for Integrated Management and Monitoring)
Institute of Oceanology, Bulgarian Academy of Sciences (IO-BAS)
Federal Maritime and Hydrographic Agency
Georgian Institute of Water Management of Georgian Technical University
National Laboratory of Energy and Geology
Taurida V.I. Vernadsky National University
Geological Institute, Russian Academy of Sciences
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Department of Biological Oceanography
State Office for Agriculture, Environment and Rural Areas of Schleswig Holstein (LLUR)
Specialized Center for Hydrometeorology and Monitoring of Environment of Black and Azov Seas (SC HME BAS)
GEOMAR Helmholtz Centre for Ocean Research Kiel
Hellenic Centre for Marine Research (HCMR)
Leibniz Institute for Baltic Sea Research, Warnemünde
A.O. Kovalevsky Institute of Marine Biological Research - RAS
Environment Agency South West Regional Office
Environment Agency South East Regional Office
Environment Agency Solent and South Downs Area Office
Department of Labour Inspection, Ministry of Labour and Social Insurance
National Research Council of Italy - Institute for Marine and Coastal Environment (IAMC) (Sezione Capo Granitola)
French Institute for the Research of the Sea (IFREMER)
Northeast Ocean Data : Map and Data for ocean planning in the Northeastern United States
Temperature of the water column | Temperature of the water body | METOFFICE |
SeaDataNet National Oceanographic Data Centers