Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
Sea level | Height above sea level | EMODnet Secretariat | Near real time sea level data
Salinity of the water column | Salinity of the water body | IFREMER |
Nouvelle Aquitaine : périmètres des quartiers prioritaires de la politique de la ville
Les périmètres des quartiers prioritaires de la politique de la ville sont fixés par le décret n° 2014-1750 du 30 décembre 2014 pour la métropole et par le décret n° 2014-1751 du 30 décembre 2014 pour les départements et collectivités d’outre-mer, rectifiés par le décret n°2015-1138 du 14 septembre 2015.
La loi de programmation pour la ville et la cohésion urbaine du 21 février 2014 prévoit, dans son article 5, les modalités de réforme de la géographie prioritaire de la politique de la ville. Celles-ci sont détaillées, pour la métropole, dans le décret n° 2014-767 du 3 juillet 2014 relatif à la liste nationale des quartiers prioritaires de la politique de la ville et à ses modalités particulières de détermination dans les départements métropolitains et, pour les territoires ultra-marins, dans le décret n° 2014-1575 du 22 décembre 2014 relatif aux modalités de détermination des quartiers prioritaires de la politique de la ville particulières aux départements et collectivités d’outre-mer. Ces périmètres viennent se substituer aux zones urbaines sensibles (Zus) et aux quartiers en contrat urbain de cohésion sociale (Cucs) à compter du 1er janvier 2015.
Micro litter - Size of litter per net - Research and monitoring protocols 2011/2023 v2025
This visualization product displays the size of litter in percent per net 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. To calculate percentages for each size, formula applied is: Size (%) = (∑number of particles of each size)*100 / (∑number of particles of all size) When the number of microlitters was not filled or was equal to zero, it was not possible to calculate the percentage. Standard vocabularies for microliter sizes are taken from Seadatanet's H03 library (https://vocab.seadatanet.org/v_bodc_vocab_v2/search.asp?lib=H03 ). Different protocols with different degrees of precision were used to classify the sampled micro-litters. Consequently, on the map, the distribution of micro-litter in the size classes depends on the protocol applied during the survey. Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the National Oceanographic Data Centre (NODC) 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/2020/3.1.11/European Marine Observation and Data Network (EMODnet) - Lot 5 - Chemistry".
The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://cdi-chemistry.seadatanet.org/search
Vertical velocity of the water column (currents) | current speed averaged over the water column | IFREMER | Direction and Intensity of average currents over vertical
NA but warns that these data result from simulations or from automated observations and are for general information purposes only
MEDSEA_CH7_Product_6 / Monthly time series of Total Nitrogen from model data [mg/l]
Monthly time series of Total Nitrogen [mg/l] from model data
Combined DIVA 4D 10-year analysis of Water body ammonium
Combined product of Water body ammonium based on DIVA 4D 10-year analysis on five regions : Northeast Atlantic Ocean, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined Water body ammonium product is masked using the relative error threshold 0.5. Units: umol/l.
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/2016/006 - 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
Fish behaviour | Pelagic and dimersal fish | Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters (IMBRIW). | Pelagic and dimersal fish
Metagenomic analysis of clams from Sanaga river in Cameroon
Metagenomic analysis of clams from Sanaga river in Cameroon to describe the virome
Atlantic-Iberian Biscay Irish- Ocean Biogeochemical Analysis and Forecast
'''Short description:''' The IBI-MFC provides a high-resolution biogeochemical analysis and forecast product covering the European waters, and more specifically the Iberia–Biscay–Ireland (IBI) area. The last 2 years before now (historic best estimates) as well as daily averaged forecasts with a horizon of 10 days (updated on a weekly basis) are available on the catalogue. To this aim, an online coupled physical-biogeochemical operational system is based on NEMO-PISCES at 1/36° and adapted to the IBI area, being Mercator-Ocean in charge of the model code development. PISCES is a model of intermediate complexity, with 24 prognostic variables. It simulates marine biological productivity of the lower trophic levels and describes the biogeochemical cycles of carbon and of the main nutrients (P, N, Si, Fe). The product provides daily and monthly averages of the main biogeochemical variables: chlorophyll, oxygen, nitrate, phosphate, silicate, iron, ammonium, net primary production, euphotic zone depth, phytoplankton carbon, pH, dissolved inorganic carbon, surface partial pressure of carbon dioxide, zooplankton and light attenuation. '''DOI (Product)''': https://doi.org/10.48670/moi-00026
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']")
Use of open search engines, searching by name either the data provider or the characteristics
There is detailed information provided to understand data policy
Format not proprietary and content clearly specified (e.g. autodescriptive like ODV, NetCDF CF) or at least with appropriate document describing the content
Online discovery + downloading + viewing services (Advanced services)
The datasets are referenced in a public national catalogue, in an international catalogue service
Search via reference catalogue (e.g. MyOcean, GEOSS Geoportal…)
Format not proprietary but content not clearly specified
Online discovery and downloading services
The datasets are provided through an EU Inspire catalogue service (OGC)
Vertical velocity of the water column (currents)
current speed averaged over the water column
Manual process: Order form/invoice is requested
Guidelines and formats for gathering micro-litter data
Visualization products for floating micro-litter data
Direction and Intensity of average currents over vertical
Observation network of chemical contamination of French coast
IFREMER / IDM / SISMER - Scientific Information Systems for the SEA
Ifremer / VIGIES (Information Valuation Service for Integrated Management and Monitoring)
National Institute of Oceanography and Applied Geophysics - OGS, Division of Oceanography
Ifremer, VIGIES (Information Valuation Service for Integrated Management and Monitoring)
IFREMER, SISMER, Scientific Information Systems for the SEA
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
Hellenic Centre for Marine Research, Institute of Oceanography
Ifremer, Environment Resources Laboratory Provence Azur Corsica (La Seyne-sur-Mer)
Ifremer, Fisheries Science and Technology (Plouzane)
Institute for Water of the Republic of Slovenia
Institute of Marine Sciences, Middle East Technical University
Istanbul University, Institute of Marine Science and Management
Hydrographic and oceanographic service of the French navy
IFREMER, Fisheries English Channel North sea (Boulogne-sur-mer)
Ifremer, LERLR - Labo Environnement Ressources Languedoc-Roussillon
Instituto Português do Mar e da Atmosfera (IPMA)
PREVIMER - COASTAL OBSERVATIONS AND FORECASTS
Aquitaine Observatory of Sciences of the Universe – University of Bordeaux (OASU)
Oceanologic Observatory of Banyuls (University of Paris VI) / OSU
IFREMER / DYNECO- Coastal Environment Dynamics department
CNRS / COM - Physical and Biogeochemical Oceanography Laboratory (Toulon)
COM - Physical and Biogeochemical Oceanography Laboratory (Endoume)
UNIVERSITE DE LA MEDITERRANNEE (U2) / CENTRE D'OCEANOLOGIE DE MARSEILLE
National Institute of Biology - NIBMarine Biology Station
University of Gothenburg, Faculty of Science
Alfred-Wegener-Institute for Polar- and Marine Research
Centre for Advanced Studies of Blanes (CEAB-CSIC)
University of Liverpool, Port Erin Marine Laboratory
Hellenic Centre for Marine Research, Institute of Oceanography (HCMR/IO)
Universite de la Rochelle / Litoral Environnement et Societe (LIENSS) - UMR 7266
Universite du Littoral Cote d'Opale / Oceanology and Geosciences Laboratory - UMR 8187 (LOG)
Institute of Meteorology and Water Management National Research Institute, Maritime Branch in Gdynia (IMWM MB)
Institute of Marine Sciences. Mediterranean Marine and Environmental Research Centre (CMIMA-ICM-CSIC)
GEOMAR Helmholtz Centre for Ocean Research Kiel
IEO/ Oceanographic Centre of Canary Island
ISPRA-Institute for Environmental Protection and Research
Royal Belgian Institute of Natural Sciences, Management Unit of North Sea and Scheldt Estuary Mathematical Models
IFREMER / DYNECO/PELAGOS-LABORATOIRE D'ECOLOGIE PELAGIQUE
Université Libre de Bruxelles, Ecology of Aquatic systems
LABORATORY OF OCEANOGRAPHY of VILLEFRANCHE (LOV) / OOV
IFREMER / DYNECO / PHYSED -LABO PHYSIQUE HYDRODYNAMIQUE ET SEDIMENTAIRE
COM - Physical and Biogeochemical Oceanography Laboratory (LUMINY)
Roscoff Marine Station, Sorbonne Universités, UPMC Univ Paris 06 and CNRS
IFREMER / RBE Department / Biogeochimical end Ecotoxicological Resarch Unit (Nantes)
CNRS / Microbiology, Geochemistry and Marine Ecology Laboratory
IFREMER / EMH-DEPARTEMENT ECOLOGIE ET MODELES POUR L'HALIEUTIQUE
Swedish Meteorological and Hydrological Institute
UNIVERSITE DE BRETAGNE OCCIDENTALE (UBO) / LAB. D'OCEANO. CHIMIQUE LOC - IUEM
Finnish Institute of Marine Research (FIMR)
P.P.Shirshov Institute of Oceanology, RAS
Southern Scientific Research Institute of Marine Fisheries and Oceanography
Bulgarian National Oceanographic Data Centre(BGODC), Institute of Oceanology
National Institute for Marine Research and Development "Grigore Antipa"
Center for marine research - Rudjer Boskovic Institute
Marine Systems Institute at Tallinn University of Technology
Aarhus University, Department of Bioscience, Marine Ecology Roskilde
EPOC - Geology and Oceanography Department
Krondshtadt Hydrometeorological Observatory, North-West HMS
Lithuanian Hydrometeorological Service under the Ministry of Environment
North-Western Regional Administration of Hydrometeorology of Roshydromet
Odessa Branch of SOI (State Oceanographic Institute)
Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)
MAREA PROJECT: Mediterranean Sensitive Habitats
Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters (IMBRIW).
Mediterranean process-driven seafloor habitat sensitivity in French waters
Process-driven seafloor habitat sensitivity (PDS) has been defined from the method developed by Kostylev and Hannah (2007), which takes into account physical disturbances and food availability as structuring factors for benthic communities. It is a conceptual model, relating species’ life history traits to environmental properties. Physical environment maps have been converted into a map of benthic habitat types, each supporting species communities with specific sensitivity to human pressures. It is based on two axes of selected environmental forces. The "Disturbance" (Dist) axis reflects the magnitude of change (destruction) of habitats (i.e. the stability through time of habitats), only due to natural processes influencing the seabed and which are responsible for the selection of life history traits. The "Scope for Growth" (SfG) axis takes into account environmental stresses inducing a physiological cost to organisms and limiting their growth and reproduction potential. This axis estimates the remaining energy available for growth and reproduction of a species (the energy spent on adapting itself to the environment being already taken into account). It can be related to the metabolic theory of the ecology. The process-driven sensitivity (PDS) can be seen as a risk map that combines the two previous axes and reflects the main ecological characteristics of the benthic habitats regarding natural processes. Areas with low disturbance are areas with a naturally low reworking of the sediment, allowing the establishment of a rich sessile epifauna community, with K-strategy species. Areas with low SfG means that the environmental factors, even though there are not limiting, are in lower values, i.e. that it imposes a cost for species to live. In areas combining low disturbance and low SfG, big suspension-feeder species with long life and slow growth can often be found: these species are more vulnerable in case of added disturbance.
Disturbance was computed by combining: - Seabed shear stress (in N.m-2) based on North West Mediterranean modelled seabed shear stress (90th percentile) - Sediment average grain size based on Modelled seabed sediment average grain size in French Mediterranean waters Scope for Growth factors involved are: - Surface Chlorophyll a (Chl.a ; mg.m-3) Computed as maximum concentration of surface chlorophyll obtained from monthly satellite observations from 1998 to 2014 (MyOcean (http://marine.copernicus.eu/): "OCEANCOLOUR_MED_CHL_L4_REP_OBSERVATIONS_009_078"). - Bathymetry EMODnet Bathymetry Consortium (2018): EMODnet Digital Bathymetry (DTM). https://doi.org/10.12770/18ff0d48-b203-4a65-94a9-5fd8b0ec35f6 - Stratification Here, stratification was considered as the average absolute difference between surface and 30 (± 5) m depth density over 20 years. Salinity and temperature data used to compute density cover the 1994-2014 period and were from monthly model predictions (MyOcean (http://marine.copernicus.eu/): "MEDSEA_REANA-LYSIS_PHYS_006_004"). High Pressure International Equation of State of Seawater (1980) was used to compute Sea water Density. The description of the computation of density of sea water at high pressure from temperature and salinity is available at https://www.niot.res.in/COAT/coat_pdf/CHAP%20III%20-%20Equation%20of%20State.pdf. - Bottom temperatures from 1994 à 2014 from monthly model predictions (MyOcean (http://marine.copernicus.eu/): "MEDSEA_REANA-LYSIS_PHYS_006_004") were used to compute average bottom temperature (BT), inter- and intra-annual bottom temperature standard deviations (Ti and Ta respectively). Ti, is the standard deviation between yearly averages and Ta, is the standard deviation between months averages. - Average bottom disolved oxygen concentration (O ; mmol.m-3) from1999 to 2014, from monthly model predictions (MyOcean (http://marine.copernicus.eu/): "MEDSEA_REANALYSIS_BIO_006_008"). This was further transformed in % disolved oxygen using the equation of dissolved oxygen concentration in the water (after Weiss, 1970) found in JFE Advantech Co.,Ltd., Ocean and River Instruments Division, 2015 (http://ocean.jfe-advantech.co.jp/english/sensor/img/do.pdf) R.F. Weiss, 1970. The solubility of nitrogen, oxygen and argon in water and seawater, Deep Sea Research and Oceanographic Abstracts, Volume 17, Issue 4, 1970, Pages 721-735, ISSN 0011-7471, https://doi.org/10.1016/0011-7471(70)90037-9.
Seafloor litter - Density per trawl normalized per km² 2011/2021 v2021
This visualization product displays the density of seafloor litter per trawl. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of seafloor litter collected by international fish-trawl surveys 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 (OSPAR and MEDITS protocols) and reference lists used on a European scale. Moreover, within the same protocol, different gear types are deployed during fishing bottom trawl surveys. In cases where the wingspread and/or number of items were unknown, data could not be used because these fields are needed to calculate the density. Data collected before 2011 are affected by this filter. When the distance reported in the data was null, it was calculated from: - the ground speed and the haul duration using this formula: Distance (km) = Haul duration (h) * Ground speed (km/h); - the trawl coordinates if the ground speed and the haul duration were not filled in. The swept area is calculated from the wingspread (which depends on the fishing gear type) and the distance trawled: Swept area (km²) = Distance (km) * Wingspread (km) Densities have been calculated on each trawl and year using the following computation: Density (number of items per km²) = ∑Number of items / Swept area (km²) Percentiles 50, 75, 95 & 99 have been calculated taking into account data for all years. More information on data processing and calculation are detailed in the document attached. 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.
Creative Commons Attribution 4.0 International
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 for this product have been extracted from the EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Conservation status of species 2001-2006, Jul. 2009
Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2001 to 2006. The data covers the EU 25. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2001-2006 for the first time includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2001-2006 reporting round is available at http://bd.eionet.europa.eu/article17.
License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
The Member State supplied species distribution was gridded to 10km or equivalent grids. This was due to the extreme heterogeneity of the supplied data. The data set covers the EU 25 (Terrestrial and Marine) and corresponds to the period 2001 to 2006. The data was supplied during the Article 17 (Habitats Directive 92/43/EEC) reporting process.
/Metropolitan France/Western Mediterranean
Species distribution (Habitats Directive)
EMODnet Bathymetry Consortium (2018): EMODnet Digital Bathymetry (DTM).
Density of sea water at high pressure from temperature and salinity
The equation of dissolved oxygen concentration in the water
R.F. Weiss, 1970. The solubility of nitrogen, oxygen and argon in water and seawater, Deep Sea Research and Oceanographic Abstracts, Volume 17, Issue 4, 1970, Pages 721-735, ISSN 0011-7471,
Visualization products for Beach and Seafloor Litter data
Guidelines and forms for gathering marine litter data
Atlantic Scientific Research Institute for Marine Fishery and Oceanography
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory
DTU Aqua, National Institute of Aquatic Resources, Technical University of Denmark
IFREMER, Fisheries English Channel North sea, Boulogne-sur-mer
Institute for Agricultural and Fisheries Research, Animal Sciences Unit, Fisheries
Institute of Food Safety, Animal Health and Environment
ISPRA, Italian National Institute for Environmental Protection and Research, Chioggia
Ministry of Agriculture, Fisheries Service
National Marine Fisheries Research Institute
Non-governmental environmental organization "Mare Nostrum"
Portuguese Institute for Sea and Atmosphere, I.P. (IPMA, I.P.)
Swedish University of Agricultural Sciences
Thünen-Institute of Baltic Sea Fisheries (TI-OF)