Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
Beach litter - Median number of plastic bags related items normalized per 100m & to 1 survey - EU-MSFD monitoring 2001/2022 v2023
This visualization product displays the plastic bags abundance of marine macro-litter (> 2.5cm) per beach per year from Marine Strategy Framework Directive (MSFD) monitoring surveys. 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 MSFD surveys only (exclusion of other monitoring, cleaning and research operations); - Exclusion of beaches without coordinates; - Selection of plastic bags 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); - Normalization of survey lengths to 100m & 1 survey / year: in some case, the survey length was not exactly 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 plastic bags related items of the survey (normalized by 100 m) = Number of plastic bags related items of the survey x (100 / survey length) Then, this normalized number of plastic bags related items is summed to obtain the total normalized number of plastic bags related items for each survey. Finally, the median abundance of plastic bags related items for each beach and year is calculated from these normalized abundances of plastic bags related items per survey. Sometimes the survey length was null or equal to 0. Assuming that the MSFD protocol has been applied, the length has been set at 100m in these cases. Percentiles 50, 75, 95 & 99 have been calculated taking into account plastic bags related items from MSFD data 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.
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
Seafloor litter - Spatial distribution of litter density normalized per km² 2011/2024 v2025
This visualization product displays the spatial distribution of seafloor litter density 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 bottom trawl surveys. In cases where the wingspread and/or number of items were/was unknown, it was not possible to use the data because these fields are needed to calculate the density. Data collected before 2011 are concerned by this filter. When the distance reported in the data was null, it was calculated from: - the ground speed and the haul duration using the following 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 was calculated from the wingspread (which depends on the fishing gear type) and the distance trawled: Swept area (km²) = Distance (km) * Wingspread (km) Densities were calculated on each trawl and year using the following computation: Density (number of items per km²) = ∑Number of items / Swept area (km²) Then a grid with 30km x 30km cells was used to calculate the weighted mean of densities in each cell from the formula : Weighted mean (number of items per km²) = ∑ (Distance (km) * Density (number of items per km²)) / ∑ Distance (km) Percentiles 50, 75, 95 & 99 were calculated taking into account data for all years. More information on data processing and calculation are detailed in the attached methodology document. 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 Marine Litter Database for this area. This work is based on the work presented in the following scientific article: O. Gerigny, M. Brun, M.C. Fabri, C. Tomasino, M. Le Moigne, A. Jadaud, F. Galgani, Seafloor litter from the continental shelf and canyons in French Mediterranean Water: Distribution, typologies and trends, Marine Pollution Bulletin, Volume 146, 2019, Pages 653-666, ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2019.07.030.
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
MEDSEA_CH5_Product_2 / Collated data set of fish discards by species and year, for mass and number
The objective of this tender is to examine the current data collection, observation and data assembly programmes in the Meditterranean Sea, identify gaps and to evaluate how they can be optimised.
Temperature of the water column | Temperature of the water body | GHRSST MUR-JPL-L4-GLOB | gov.noaa.nodc:GHRSST-MUR-JPL-L4-GLOB
Fisheries and Resources Monitoring System (FIRMS)
The primary aim of the Fisheries and Resources Monitoring System (FIRMS) is to provide access to a wide range of high-quality information on the global monitoring and management of fishery marine resources. FIRMS draws together a unified partnership of international organizations, regional fishery bodies and, in the future, national scientific institutes, collaborating within formal agreement to report and share information on fisheries resources. For effective fisheries information management, FIRMS also participates in the development and promotion of agreed standards. FIRMS system is part of the Fisheries Global Information System (FIGIS). Information provided by the partners is organized in a database and published in the form of fact sheets. This system provides the data owner with tools to ensure controlled dissemination of high quality and updated information.
ATLANTIC_CH09_Specification_4 / Annual temporal series and long term average with errors of total phosphates loads [ton] from in situ data (2005-2014)
Temporal series (annual mean values) with error of estimation and Long Term Average (LTA) with error of estimation of total phosphate load for each river mouth where in situ data is available. Different sources can be mixed if any.
Auteur(s): De Regt Maarten , La viticulture péri-urbaine : une réconciliation de l'urbain et du rural. Projet d'un centre du vin, au sud de la commune de Léognan, près de bordeaux.
Aménagement du territoire : Inventaire des données PIGMA par S3PI
Recensement des données PIGMA identifiées par le S3PI Presqu'Île d'Ambès dans le cadre de ses travaux sur la thématique "Aménagement du territoire"
Northeast Atlantic Ocean - Loire River - DIVAnd 4D seasonal analysis of Water body phosphate 1964/2019 v2021
Seasonal Climatology of Phosphate for Loire River for the period 1964-2019 and for the following seasons: - winter: January-March, - spring: April-June, - summer: July-September, - autumn: October-December Observational data span from 1964 to 2019. Depth levels (m): -125.0, -100.0, -75.0, -50.0,-40.0, -30.0, -25.0, -20.0, -15.0, -10.0, -8.0, -6.0, -4.0, -2.0, -0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVAnd analysis: The computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used. Signal to noise ratio was fixed to 1. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. The weight of time series was decreased by a factor of 10 relative to the weight of the profiles to account for the redundancy in the time series observations. Detrending of data: no, Advection constraint applied: no. Units: umol/l.
Phosphate concentration parameters in the water column
Usage is subject to mandatory citation: "This resource was generated by EMODnet Chemistry under the support of DG MARE Call for Tender EASME/2019/OP/0003-lot4."
The data used as input for this product have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
Snow and ice mass, thickness and extent | Coverage (by area) of ice on the water body by image analysis | National Snow & Ice Data Center USA | MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Day, Version 6
Area management/restriction/regulation zones and reporting units
Information retrieved upon specific request to the data source
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
Use of open search engines, searching by name either the data provider or the characteristics
Online discovery and downloading services
Coverage (by area) of ice on the water body by image analysis
MODIS/Terra Sea Ice Extent Daily L3 Global 1km
Visualization products for Beach Litter data
EU Threshold Value for Macro Litter on Coastlines
Seafloor litter from the continental shelf and canyons in French Mediterranean Water: Distribution, typologies and trends
Visualization products for seafloor litter data
Guidelines and forms for gathering marine litter data
Report of the FIRMS Steering Committee Meeting Eleventh Session
Nouvelle-Aquitaine : Etablissements médico-sociaux
Nouvelle-Aquitaine : Etablissements de santé
Gironde : Voies ferrées des zones d'activités
Gironde : Bâtiments des zones d'activités
Nouvelle-Aquitaine : Schémas d'Aménagement et de Gestion des Eaux (SAGE) - Périmètres (surfacique)
Gironde : coproduction réseaux des pistes cyclables dans le cadre de l'atelier PIGMA - Infrastructures Cyclables Existantes
Grand Port Maritime de Bordeaux: Chenal de navigation de l'estuaire de la Gironde
Grand Port Maritime de Bordeaux : Appontements de l'estuaire de la Gironde
Grand Port Maritime de Bordeaux : Marégraphes
Aquitaine : BD TOPO® Thème Réseau de Transport d'Energie (Version 2)
Aquitaine : BD TOPO® Thème Réseau Ferré (Version 2)
Aquitaine : zonage des documents d'urbanisme
Gironde : ENS (Espaces Naturels Sensibles)
Gironde : Périmètres des Schémas de Cohérence Territoriale (SCOT)
Aquitaine : Etablissements du second degré (privés et publics)
Aquitaine : Bâtiments et terrains de sport des établissements scolaires du 2nd degré
Aquitaine : Etablissements du premier degré (publics et privés)
Gironde : ZPENS (Zone de Préemption des Espaces Naturels Sensibles)
Aquitaine : Schéma Régional véloroutes et voies vertes 2014-2024
Aquitaine : BD TOPO® Thème Réseau Routier (Version 2)
VNF : Centres d'exploitation (24, 33 et 47)
Nouvelle-Aquitaine : Trafic routier des réseaux autoroutiers non concédé, national et départemental - Localisation (ponctuel)
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
Aarhus University,Danish Centre for Environment and Energy
Aarhus University, Department of Bioscience
ARPA Emilia-Romagna, Struttura Oceanografica Daphne
Bastia Golo Mediterranea Permanent Centre for Environmental Initiatives
CENTRE FOR DOCUMENTATION, RESEARCH AND EXPERIMENTATION ON ACCIDENTAL WATER POLLUTION
Chief Inspectorate for Environmental Protection
Department of Fisheries and Marine Research, Division of Marine Biology and Ecology
Foundation for Environmental Education, Latvia
Hellenic Centre for Marine Research, Institute of Oceanography
Institute for Water of the Republic of Slovenia
Marine Natural Park of Cape Corsica and Agriate
Marine Research Institute of Klaipeda University
Mediterranean Information Office for Environment, Culture and Sustainable Development
MTE-DGSCM, Directorate for Coast and Sea Sustainability. Ministry for Ecological Transition
National Agricultural Research Foundation, Fisheries Research Institute
National Institute for Marine Research and Development "Grigore Antipa"
Nature and Biodiversity Conservation Union Germany
Nature and Biodiversity Conservation Union, Marine Conservation Office
Non-governmental environmental organization "Mare Nostrum"
Office of Schleswig-Holstein Wadden Sea National Park
Royal Belgian Institute of Natural Sciences
Southeast Rügen Biosphere Reserve Office
State Agency for Environment, Nature and Geology, Mecklenburg-Vorpommern
State Office for Agriculture, Environment and Rural Areas of Schleswig Holstein
Thau Basin Permanent Centre for Environmental Initiatives
The Danish Environmental Protection Agency
University of Patras, Department of Geology, Laboratory of Marine Geology and Physical Oceanography
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory
DTU Aqua, National Institute of Aquatic Resources, Technical University of Denmark
Hellenic Centre for Marine Research, Institute of Oceanography (HCMR/IO)
Ifremer, Environment Resources Laboratory Morbihan Pays De La Loire (Lorient)
IFREMER, Fisheries English Channel North sea, Boulogne-sur-mer
Ifremer, Fisheries Science and Technology (Plouzane)
Ifremer, Halieutic Resources of English Channel North-Sea (Port-en-Bessin)
Institute of Coastal Research, The Swedish Board of Fisheries
ISPRA, Italian National Institute for Environmental Protection and Research, Chioggia
National Marine Fisheries Research Institute
Swedish University of Agricultural Sciences
Nom de l'organisme propriétaire de cette ressource
Atlantic Scientific Research Institute for Marine Fishery and Oceanography
Environment Resources Laboratory Morbihan Pays De La Loire - La Trinite
IFREMER, Biogeochimical end Ecotoxicological Resarch Unit
IFREMER, DYNECO, PHYSED -LABO PHYSIQUE HYDRODYNAMIQUE ET SEDIMENTAIRE
IFREMER, DYNECO- Coastal Environment Dynamics department
IFREMER, DYNECO/PELAGOS-LABORATOIRE D'ECOLOGIE PELAGIQUE
IFREMER, ECOLOGY AND MODELS FOR THE FISHING INDUSTRY
IFREMER, RBE, Biogeochimical end Ecotoxicological Resarch Unit (Brest)
Odessa Branch of SOI (State Oceanographic Institute)
Sedimentological and palynological records since 8.5 ka BP along a proximal-distal gradient on the northern Bay of Biscay (NW Europe)
New results acquired in south-Brittany (MD08-3204 CQ core: Bay of Quiberon and VK03-58bis core: south Glénan islands) allow depicting Holocene paleoenvironmental changes from 8.5 ka BP to present through a multi-proxy dataset including sedimentological and palynological data. First, grain-size analyses and AMS-14C dates highlight a common sedimentary history for both study cores. The relative sea level (RSL) slowdown was accompanied by a significant drop of the sedimentation rates between ca. 8.3 and 5.7 ka BP, after being relatively higher at the onset of the Holocene. This interval led to the establishment of a shell-condensed level, identified in core VK03-58bis by the “Turritella layer” and interpreted as a marker for the maximum flooding surface. Palynological data (pollen grains and dinoflagellate cyst assemblages) acquired in core MD08-3204 CQ argue for an amplification of the fluvial influence since 5.7 ka BP; the establishment of the highstand system tract (i.e., mixed marine and fluviatile influences on the platform) then accompanying the slowdown of the RSL rise-rates. On the shelf, the amplification of Anthropogenic Pollen Indicators (API) is then better detected since 4.2 ka BP, not only due to human impact increase but also due to a stronger fluvial influence on the shelf during the Late Holocene. Palynological data, recorded on the 8.5–8.3 ka BP interval along an inshore-offshore gradient, also demonstrate the complexity of the palynological signal such as i) the fluvial influence that promotes some pollinic taxa (i.e., Corylus, Alnus) from proximal areas and ii) the macro-regionalization of palynomorph sources in distal cores. In addition, the comparison of palynological tracers, including API, over the last 7 kyrs, with south-Brittany coastal and mid-shelf sites subjected to northern vs. southern Loire catchment areas, allowed discussing a major hydro-climatic effect on the reconstructed palynological signals. Strengthened subpolar gyre dynamics (SPG), combined with recurrent positive North Atlantic Oscillation (NAO) configurations, appear responsible for increased winter precipitations and fluvial discharges over northern Europe, such as in Brittany. Conversely, weakened SPG intervals, associated with negative NAO-like modes, are characterized by intensified winter fluvial discharges over southern Europe. Interestingly, we record, at an infra-orbital timescale, major peaks of API during periods of strengthened (/weakened) SPG dynamics in sites subjects to Brittany watersheds (/Loire watersheds) inputs.
ICCAT - International Commission for the Conservation of Atlantic Tunas
The International Commission for the Conservation of Atlantic Tunas is an inter-governmental fishery organization responsible for the conservation of tunas and tuna-like species in the Atlantic Ocean and its adjacent seas. ICCAT compiles fishery statistics from its members and from all entities fishing for these species in the Atlantic Ocean, coordinates research, including stock assessment, on behalf of its members, develops scientific-based management advice, provides a mechanism for Contracting Parties to agree on management measures, and produces relevant publications. Science underpins the management decisions made by ICCAT. Much of the information available on this site relates to scientific data, reports of scientific meetings and to scientific articles.
Ce jeu de données donne les intercommunalités sur le département de la Gironde.
Ce jeu de données a été constitué à partir de la BD TOPO.
/Biological Environment/Species/Fish Species of Commercial Interest
Univ. Brest, CNRS, Ifremer, Geo-Ocean, UMR 6538, F-29280 Plouzané, France Univ. Bretagne Sud, Univ. Brest, CNRS, Ifremer, Geo-Ocean, UMR 6538, F-56000 Vannes, France
Univ. Brest, CNRS, Ifremer, Geo-Ocean, UMR 6538, F-29280 Plouzané, France
Univ. Bretagne Sud, Univ. Brest, CNRS, Ifremer, Geo-Ocean, UMR 6538, F-56000 Vannes, France
Univ. Lille, Laboratoire d’Océanologie et de Géosciences, UMR 8187, F-59655 Villeneuve d’Ascq, France
CNRS, Littoral Environnement Télédétection Géomatique, UMR 6554, IUEM, F-29280 Plouzané, France
Chaire Armerie, Univ. Brest, Inrap, Littoral Environnnement Télédétection Géomatique, UMR 6554, IUEM, F-29280 Plouzané, France
Univ. Nantes, Laboratoire Géolittomer/IGARUN, UMR 6554, F-44300 Nantes, France