Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
Distribution of Whiting larvae from CPR samples for period 5 (years 1985 to 1991) - Point data
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
Arctic Fisheries Working Group (AFWG). ICES Scientific Reports. 2:52. 577 pp.
Assessments run at AFWG provide the scientific basis for the management of cod, haddock, saithe, redfish, Greenland halibut and capelin in subareas 1 and 2. Taking the catch values provided by the Norwegian fisheries ministry for Norwegian catches1 and raising the total landed value to the total catches gives an approximate nominal first-hand landed value for the combined AFWG stocks of ca. 20 billion NOK or ca. 2 billion EUR (2018 estimates).
Fishing by-catch | Number of bycatch of reptiles by species, country and year | Food and Agriculture Organization of the United Nations, Fisheries and Aquaculture Department | -
Kuroshio Phase from Observations Reprocessing
'''DEFINITION''' The indicator of the Kuroshio extension phase variations is based on the standardized high frequency altimeter Eddy Kinetic Energy (EKE) averaged in the area 142-149°E and 32-37°N and computed from the DUACS delayed-time (CMEMS SEALEVEL_GLO_PHY_L4_MY_008_047) and near real-time (CMEMS SEALEVEL_GLO_PHY_L4_NRT _008_046) altimeter sea level gridded products. ""CONTEXT"" The Kuroshio Extension is an eastward-flowing current in the subtropical western North Pacific after the Kuroshio separates from the coast of Japan at 35°N, 140°E. Being the extension of a wind-driven western boundary current, the Kuroshio Extension is characterized by a strong variability and is rich in large-amplitude meanders and energetic eddies (Niiler et al., 2003; Qiu, 2003, 2002). The Kuroshio Extension region has the largest sea surface height variability on sub-annual and decadal time scales in the extratropical North Pacific Ocean (Jayne et al., 2009; Qiu and Chen, 2010, 2005). Prediction and monitoring of the path of the Kuroshio are of huge importance for local economies as the position of the Kuroshio extension strongly determines the regions where phytoplankton and hence fish are located. Unstable (contracted) phase of the Kuroshio enhance the production of Chlorophyll (Lin et al., 2014). ""CMEMS KEY FINDINGS"" The different states of the Kuroshio extension phase have been presented and validated by (Bessières et al., 2013) and further reported by Drévillon et al. (2018) in the Copernicus Ocean State Report #2. Two rather different states of the Kuroshio extension are observed: an ‘elongated state’ (also called ‘strong state’) corresponding to a narrow strong steady jet, and a ‘contracted state’ (also called ‘weak state’) in which the jet is weaker and more unsteady, spreading on a wider latitudinal band. When the Kuroshio Extension jet is in a contracted (elongated) state, the upstream Kuroshio Extension path tends to become more (less) variable and regional eddy kinetic energy level tends to be higher (lower). In between these two opposite phases, the Kuroshio extension jet has many intermediate states of transition and presents either progressively weakening or strengthening trends. In 2018, the indicator reveals an elongated state followed by a weakening neutral phase since then. '''DOI (product):''' https://doi.org/10.48670/moi-00222
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']")
Mediterranean Sea - Eutrophication and Acidity aggregated datasets 1911/2020 v2021
EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (15 parameters with quality flag indicators), and covers the Mediterranean Sea with 187722 CDI records (180932 Vertical profiles and 6790 Time series). Vertical profiles temporal range is from 1911-08-17 to 2020-10-16. Time series temporal range is from 1974-06-04 to 2018-02-20. Data were aggregated and quality controlled by 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' from Greece. Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/. Detailed documentation is available at: https://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713 Explore and extract data at: https://emodnet-chemistry.webodv.awi.de/eutrophication%3EMediterranean The aggregated dataset can also be downloaded as ODV collection and spreadsheet, which is composed of metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ). The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search
Water body dissolved inorganic nitrogen (DIN)
Water body dissolved oxygen concentration
Usage is subject to mandatory citation: "This resource was generated in the framework of EMODnet Chemistry, under the support of DG MARE Call for Tender EASME/2019/OP/0003-lot4."
The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search
Contaminants-Cadmium: stations below LOD/LOQ v2019
This product displays the stations where cadmium has been measured and the values present in EMODnet Chemistry infrastructure are always below the limit of detection or quantification (LOD/LOQ), i.e quality values found in EMODnet validated dataset can be equal to 6 or Q. 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
Dissolved metal concentrations in the water column
The "EMODnet Digital Bathymetry (DTM)- 2024" is a multilayer bathymetric product for Europe’s sea and oversea basins covering: • the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland • the English Channel and Celtic Seas • Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea • Iberian Coast and Bay of Biscay (Atlantic Ocean) • Adriatic Sea (Mediterranean) • Aegean - Levantine Sea (Mediterranean). • Madeira and Azores (Macaronesia) • Baltic Sea • Black Sea • Norwegian and Icelandic Seas • Canary Islands (Macaronesia) • Arctic region and Barentz Sea and the Caribbean Sea. The DTM is based upon 22063 bathymetric survey data sets and Composite DTMs that have been gathered from 66 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included from Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2024 and IBCAO V4. The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that icontains > 41.000 survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ). In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as: • water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters). • option to view depth parameters of individual DTM cells and references to source data • option to download DTM in 59 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF, GeoTiff, RGB and SD • option to visualize the DTM in 3D in the browser without plug-in • layer with a number of high resolution DTMs for coastal regions • layer with wrecks from the UKHO Wrecks database. The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal. The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
Creative Commons Attribution 4.0 International
The DTM is a grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters). Each grid cell has the following information: - x,y coordinates - minimum waterdepth in meters to LAT - average waterdepth in meters to LAT - maximum waterdepth in meters to LAT - standard deviation of waterdepth in meters - number of values used for interpolation over the grid cell - interpolation flag : 1 when extrapolated from the neighbouring cells - average Document "D2.1: Upgraded guidelines for data pre-processing and population of metadata. Technical report. 2021. EMODnet Bathymetry." indicates how data and metadata are being prepared in view of the compilation of the data. Document "Use of the dataset Quality Index to expand services associated to the EMODnet DTM. Version 12-01-2023. EMODnet Bathymetry." explains how is evaluated and displayed the intrinsic quality of the DTM.
Beach Litter - Number of surveys & temporal coverage per beach - Other sources 2001/2021 v2021
This visualization product displays the number of non-MSFD monitoring surveys, research & cleaning operations and the associated temporal coverage per beach. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of beach litter have been gathered and processed in the EMODnet Chemistry Marine Litter Database (MLDB). The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols and reference lists used on a European scale. Preliminary processing were necessary to harmonize all the data: - Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring; - Selection of surveys from non-MSFD monitoring, cleaning and research operations; - Exclusion of beaches without coordinates. More information is available in the attached documents. Warning: the absence of data on the map doesn't necessarily mean that they don't exist, but that no information has been entered in the Marine Litter Database for this area.
Usage is subject to mandatory citation: "This resource was generated in the framework of EMODnet Chemistry, under the support of DG MARE Call for Tender EASME/EMFF/2018/1.3.1.8 - lot4."
The data used as input data for this product was extracted from the Postgis database used in the beach litter analysis for EMODnet Chemistry.
Transport activity | Port Capacity Information | Port Authority of New York and New Jersey Developer resources | Port Authority of New York and New Jersey Developer resources
EUSeaMap2 (2016) Broad-Scale Predictive Habitat Map
Output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. 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 Norway 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. The model is produced in Arc Model Builder (10.1). For more information on the modelling process please read the EMODnet Seabed Habitats The model was created using raster input layers with a cell size of 0.002dd (roughly 250 meters). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. The map follows the EUNIS 2007-11 classification system where it is appropriate.
Please cite EMODnet Seabed Habitats when using these data or products derived from these data
An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats.
/Regulation and Management/Usage Regulations/Fisheries/Fishing Area Limits
WP5 Assessing state, drivers and tipping points
Manual process: Order form/invoice is requested
Number of bycatch of reptiles by species, country and year
Data sets are not referenced in a catalogue or are referenced in a non public catalogue
Cited in peer reviewed paper or grey literature but no info on how to access
There is detailed information provided to understand data policy
Proprietary format and not well documented
/Physical Environment/Bathymetry/Digital Terrain Model
Use of open search engines, searching by name either the data provider or the characteristics
There is information, but details are available only on request
Format not proprietary but content not clearly specified
The datasets are referenced in a public national catalogue, in an international catalogue service
Identifier of the dataset in the catalogue
Proposal for generating dedicated maps on contaminants
D2.1: Upgraded guidelines for data pre-processing and population of metadata. Technical report. 2021. EMODnet Bathymetry
Use of the dataset Quality Index to expand services associated to the EMODnet DTM. Version 12-01-2023. EMODnet Bathymetry.
Visualization products for Beach Litter data
EU Threshold Value for Macro Litter on Coastlines
Port Authority of New York and New Jersey Developer resources
EMODnet Seabed Habitats Download page (EUSeaMap preselected)
Institute of Marine Science (ISMAR) - Ancona
Food and Agriculture Organization of the United Nations, Fisheries and Aquaculture Department
ARPA Emilia-Romagna - Struttura Oceanografica Daphne
Baleares Islands University. Environmental Biology Department. UIB
CEA / Laboratory of climatolocical and environmental Sciences(LSCE)
Center for marine research - Rudjer Boskovic Institute
Centre for Advanced Studies of Blanes (CEAB-CSIC)
CNR, Institute of Atmospheric Sciences and Climate (ISAC) (Rome)
CNR, Institute of Marine Science (ISMAR) - Ancona
CNR, Institute of Marine Science (ISMAR) - Bologna
CNR, Institute of Marine Science (ISMAR) (Lesina)
CNR, Institute of Marine Science (ISMAR) (Trieste)
CNR, Istituto di Scienze Marine (Sezione di Venezia - ex IBM)
CNR, Istituto per l'Ambiente Marino Costiero (Sezione di Oristano)
CNR, Istituto per lo Studio della Dinamica delle Grandi Masse
CNRS / Center of Oceanology of Marseille (COM) La-Seyne-Sur-Mer
CNRS / COM - Physical and Biogeochemical Oceanography Laboratory (Toulon)
CNRS / Laboratory of of studies on Spatial Geophysics and Oceanography (LEGOS)
CNRS / Microbiology, Geochemistry and Marine Ecology Laboratory
Commissione Permanente per lo Studio dell'Adriatico, Venezia
COM - Physical and Biogeochemical Oceanography Laboratory (Endoume)
COM - Physical and Biogeochemical Oceanography Laboratory (LUMINY)
DTU Aqua – National Institute of Aquatic Resources, Technical University of Denmark
Hellenic Centre for Marine Research (HCMR)
Hellenic Centre for Marine Research, Institute of Oceanography (HCMR/IO)
IEO/ Balearic Islands Oceanographic Centre
IFREMER / Dpt Technologicals Research and Development
Ifremer / VIGIES (Information Valuation Service for Integrated Management and Monitoring)
IFREMER / EEP / LEP-DEEP ENVIRONMENT LABORATORY
IFREMER / RBE Department / Biogeochimical end Ecotoxicological Resarch Unit (Nantes)
IFREMER / RBE Department / Biogeochimical end Ecotoxicological Resarch Unit (Toulon)
Institute of Biology of the Southern Seas, NAS of Ukraine
CNR, Institute of Marine Sciences S.S. of Lerici (SP)
Institut National des Sciences et Technologies de la Mer – INSTM
ISPRA-Institute for Environmental Protection and Research
Israel Oceanographic and Limnological Research (IOLR)
Laboratory of Oceanography and Climate : Experiments and numerical Approaches - UMR 7159
LABORATORY OF OCEANOGRAPHY of VILLEFRANCHE (LOV) / OOV
Mediterranean Institute of Oceanography - LUMINY (MIO) - UMR 7294 / 235 / 110
Moscow State University, Geography Department
Murmansk Hydrometeorological Administration of Roshydromet
MUSEUM NATIONAL D'HISTOIRE NATURELLE / LABORATOIRE D'OCEANOGRAPHIE PHYSIQUE
National Institute of Biology - NIBMarine Biology Station
Oceanological Observatory of Villefranche sur Mer
Oceanologic Observatory of Banyuls (University of Paris VI) / OSU
Odessa Branch of SOI (State Oceanographic Institute)
National Institute of Oceanography and Applied Geophysics - OGS, Division of Oceanography
P.P.Shirshov Institute of Oceanology, RAS
Stazione Zoologica Anton Dohrn of Naples
Ukrainian scientific center of Ecology of Sea (UkrSCES)
UNIVERSITE DE LA MEDITERRANNEE (U2) / CENTRE D'OCEANOLOGIE DE MARSEILLE
Universite de Toulon / Lab. De Sondages Electromagnetiques (Lseet)
UNIVERSITY OF MONTPELLIER / GEOSCIENCES MONTPELLIER UMR 5243 CNRS/UM2
V.I. Il'ichevs Pacific Oceanological Institute, Far Eastern Branch, Russian Academy of Sciences
Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)
ENEA Centro Ricerche Ambiente Marino - La Spezia
Institute of Marine Sciences, Middle East Technical University
University of Athens, Department of Chemistry, Division of Inorganic and Environmental Chemistry, Environmental and Marine Chemistry Group (EMCG/UATH)
Department of Fisheries and Marine Research, Division of Marine Biology and Ecology
Institute for Marine Biological Resources and Biotechnology - Ancona
Angers University, Laboratory of current and fossil bio-indicators, UMR CNRS 6112 LPG-BIAF
Federal Maritime and Hydrographic Agency
IFREMER, ENVIRONMENT RESOURCES LABORATORY PROVENCE AZUR CORSICA , LA SEYNE-SUR-MER
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Department of Biological 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, 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)
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)
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)
National Institute for Marine Research and Development "Grigore Antipa"
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
North-Caucasus Regional Administration of Hydrometeorology of Roshydromet
Tuapse Hydrometeorological Bureau, North-Caucasus Centre
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 NANTES / LAB.DE GEOLOGIE MARINE ET APPLIQUEE
UNIVERSITE DE RENNES I / LABORATOIRE DE GEOSCIENCES - UMR CNRS 6118
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)
Institute of Oceanology, Bulgarian Academy of Sciences (IO-BAS)
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
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
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)
Shom (Service Hydrographique et Océanographique de la Marine)
CNR, Institute of Environmental Geology and Geoengineering (IGAG)
CONISMA, National Interuniversity Consortium for Marine Science
Danish Geodata Agency – Danish Hydrographic Office
Danube Delta National Institute for Research and Development
Department of Geology, Geophysics and Coastal Processes - Israel Oceanographic & Limnological Research.
Flemish Ministry of Mobility and Public Works; Agency for Maritime and Coastal Services; Coastal Division
IFREMER / IDM / SISMER - Scientific Information Systems for the SEA
Jardfeingi, the Faroe Islands Earth and Energy Directorate
Marine Geology and Seafloor Surveying group, Department of Geosciences, University of Malta
Marum - Center for Marine Environmental Sciences, University of Bremen
National Institute of Marine Geology and Geoecology
National Oceanography Centre, Southampton
NIOZ Royal Netherlands Institute for Sea Research
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Infrastructures Division
Portuguese Institute of Ocean and Atmosphere
Royal Netherlands Navy, Hydrographic Service
Stockholm University, Department of Geological Sciences
Baltic Sea Research Institute Warnemuende, Marine Geology Department
Malta Environment and Planning Authority, Environment Protection Directorate
Transport Malta, Maritime Division (ex. Malta Maritime Authority)
Israel Oceanographic and Limnological Research
Icelandic Coast Guard Hydrographic Department
Lamont-Doherty Earth Observatory, Columbia University
Rijkswaterstaat Central Information Services
Task Group for the Extension of the Continental Shelf
Marine and Freshwater Research Institute
Lithuanian transport safety administration
Oceanography Malta Research Group, Department of Geosciences, University of Malta
Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre
PANGAEA, Data Publisher for Earth & Environmental Science
Finnish Transport and Communications Agency
National Centers for Environmental Information
National Research Council, Institute of Marine Sciences, Naples section
Ifremer, VIGIES (Information Valuation Service for Integrated Management and Monitoring)
IFREMER, SISMER, Scientific Information Systems for the SEA
Aarhus University,Danish Centre for Environment and Energy
Aarhus University, Department of Bioscience
Archipelagos Institute of Marine Conservation
Disciplinary Centre of Marine Research and Environmental
ECAT-Environmental Center for Administration & Technology
Foundation for Environmental Education, Latvia
Hellenic Centre for Marine Research, Institute of Oceanography
Institute for Water of the Republic of Slovenia
Institute of Oceanology, Bulgarian Academy of Sciences
International Council for the Exploration of the Sea
Isotech Ltd Environmental Research and Consultancy
Maritime Training Center for Pollution Prevention, Safety at Sea and Environmental Awareness
Mediterranean Information Office for Environment, Culture and Sustainable Development
Non-governmental environmental organization "Mare Nostrum"
Portuguese Association for Marine Litter, APLM
Ukrainian scientific center of Ecology of Sea
Habitat extent | Coralligenous formations | COCONET | Coralligenous formations
Terrestrial mapping | Ports geographic location | National Geospatial-Intelligence Agency |
Beach Litter - Median number of cigarette related items normalized per 100m & to 1 survey - UNEP_MARLIN only - Other sources 2012/2014 v2021
This visualization product displays the cigarette related items abundance of marine macro-litter (> 2.5cm) per beach per year from non-MSFD monitoring surveys, research & cleaning operations related to UNEP-MARLIN data only. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of beach litter have been gathered and processed in the EMODnet Chemistry Marine Litter Database (MLDB). The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols and reference lists used on a European scale. Preliminary processing were necessary to harmonize all the data: - Selection of surveys from non-MSFD monitoring, cleaning and research operations; - Exclusion of beaches without coordinates; - Selection of cigarette related items only. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines and EU Threshold Value for Macro Litter on Coastlines from JRC (these two documents are attached to this metadata); - Exclusion of surveys without associated length; - Selection of surveys referring to the UNEP-MARLIN list: the UNEP-MARLIN protocol differs from the other types of monitoring in that cigarette butts are surveyed in a 10m square. To avoid comparing abundances from very different protocols, the choice has been made to distinguish in two maps the cigarette related items results associated with the UNEP-MARLIN list from the others; - Normalization of survey lengths to 100m & 1 survey / year: in some case, the survey length was not 100m, so in order to be able to compare the abundance of litter from different beaches a normalization is applied using this formula: Number of cigarette related items of the survey (normalized by 100 m) = Number of cigarette related items of the survey x (100 / survey length) Then, this normalized number of cigarette related items is summed to obtain the total normalized number of cigarette related items for each survey. Finally, the median abundance of cigarette related items for each beach and year is calculated from these normalized abundances of cigarette related items per survey. Percentiles 50, 75, 95 & 99 have been calculated taking into account cigarette related items from other sources data (UNEP-MARLIN protocol only) for all years. More information is available in the attached documents. Warning: the absence of data on the map doesn't necessarily mean that they don't exist, but that no information has been entered in the Marine Litter Database for this area.
The data used as input for this product have been extracted from the EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Cetacean abundance | Threatened and/or declining cetacean species | EMODnet Secretariat | Balaena mysticetus
MEDSEA_CH4_Specification_4 / Spatial layers of sea level trend from MyOcean-CMCC reconstruction over periods of 50 years (1963 – 2012) and 100 years (1913-2012)
Specification of the desirable and recommended products attributes for generating spatial layers of sea level trend for the last 50 and 100 years for the Mediterranean basin and for each NUTS3 region along the coast.
Agglomération bordelaise : carte du périmètre des 53 communes du PPA
Carte sur le périmètre des 53 communes du Plan de Protection de l'Atmosphère (PPA) sur l'agglomération bordelaise. Élaborée le 24/10/2011
Micro litter - Density per net normalized in grams per km² - Research and monitoring protocols 2011/2020 v2023
This visualization product displays the density of floating micro-litter per net normalized in grams per km² per year from research and monitoring protocols. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10). A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter. European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization. A filter is applied to represent only micro-litter sampled according to research and monitoring protocols as MSFD monitoring. Densities were calculated for each net using the following calculation: Density (weight of particles per km²) = Micro-litter weight / (Sampling effort (km) * Net opening (cm) * 0.00001) When the weight of microlitters or the net opening was not filled, the density could not be calculated. Percentiles 50, 75, 95 & 99 have been calculated taking into account data for all years. Warning: the absence of data on the map doesn't necessarily mean that they don't exist, but that no information has been entered in the National Oceanographic Data Centre (NODC) for this area.
ATLANTIC_CH04_Specification_7 / 50 year (1965-2014) change in temperature
Map at 1 degree resolution of 50-year linear trend in sea water temperature at 3 levels: surface, 500m, bottom.
The datasets are provided through an EU Inspire catalogue service (OGC)
Search via reference catalogue (e.g. MyOcean, GEOSS Geoportal…)
Format not proprietary and content clearly specified (e.g. autodescriptive like ODV, NetCDF CF) or at least with appropriate document describing the content
There is no information at all on data policy adopted by data providers
Format proprietary but content clearly specified
Online discovery and downloading services
Atlantic - CH02 - Marine Protected Areas
Threatened and/or declining cetacean species
MedSea - CH04 - Climate and Coastal Protection
Guidelines and formats for gathering micro-litter data
Towards COast to COast NETworks of marine protected areas, Coupled with Sea-based Wind Energy Potential
Instituto Português do Mar e da Atmosfera (IPMA)
CMCC, Centro Euro-Mediterraneo for Cambiamenti Climatici
DREAL Aquitaine - MCE Unité Observation, Etudes et Statistiques
ARPA Emilia-Romagna, Struttura Oceanografica Daphne
ARPA Friuli-Venezia Giulia, Alto Adriatico Observatory
ARPA Toscana, Area Tutela Ambiente Marino
ARPA Veneto, Osservatorio Regionale Acque
Department of Marine Systems at Tallinn University of Technology
Helmholtz Centre for Ocean Research Kiel (Westshore campus)
Ifremer, Environment Resources Laboratory Provence Azur Corsica (La Seyne-sur-Mer)
Ifremer, Fisheries Science and Technology (Plouzane)
Direction Régionale de l'Environnement, de l'Aménagement et du Logement