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2021

26 record(s)
 
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  • Categories  

    The dataset relies on the data collected and processed by the “Service hydrographique et océanographique de la marine” (SHOM) under the product “Wrecks and obstructions”. The product was developed by SHOM to identify objects emerging from the seabed and likely to hinder navigation. The EMODNet dataset focuses on objects of the class wrecks as other obstructions are not relevant from a cultural heritage point of view. Wrecks identified in the dataset are made of all or parts of a grounded or sunk ship or plane. This product covers the Exclusive Economic Zone (EEZ) of the mainland and French overseas, in which SHOM has a role of centralizing and disseminating nautical information at the national level. In order to provide uniform coverage, present in the English waters of the Channel Islands and in the maritime part of Monaco are also provided. The information used for this product comes from a variety of sources. One source is SHOM internal data collection: mainly surveys carried out by the Hydro-Oceanographic Groups of SHOM; as well as elements appearing on nautical charts in service which have not been surveyed; or information generated by the use of spatial, aerial or lidar surveys. For this product, SHOM also gathers data from external sources: the national Navy (certain vessels of the French navy equipped with underwater investigation equipment carry out interventions by divers and transmit the results of their explorations to SHOM); public bodies: in particular, les Directions Départementale des Territoires et de la Mer (DDTM); port organizations; divers associations (e.g. GRIEME); the DRASSM (department of underwater and underwater archaeological research); or renowned individuals in the world of scuba diving. Attributes include information on the location, the precision of the location, the depth (least deapth) and the precision of the depth, the length of the object, the name, the characteristics of the object after sinking as well as characteristics of the ship before sinking, circumstances of the sinking, the type of ship/wreck. The additional processing carried out by Emodnet consisted in translating the available information from French to English (through partly-automated translation), extracting the year of the sinking when available and calculating the distance to coast. Last update of the product by SHOM was made in November 2020.

  • Categories  

    The database on Maritime Spatial Planning (MSP) in the EU was created in 2021 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet Human Activities web portal (www.emodnet-humanactivities.eu). The database contains polygons, points and lines (where available) representing Maritime Spatial Planning (MSP) in the following countries: Belgium, Denmark, Finland and Latvia. Maritime Spatial Planning (MSP) database is made up of 3 types of spatial features: MSP Spatial Plan, MSP Zoning Element and MSP Supplementary Regulation. Also there is a non spatial feature called MSP Official Documentation. The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in.

  • Categories  

    The database on offshore military areas in the EU was created in 2020 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet Human Activities web portal (www.emodnet-humanactivities.eu). The database contains polygons and/or points representing offshore military areas in the following countries: Belgium, Denmark, Estonia, Finland, Germany, Greece, Lithuania, Netherlands, Poland, Portugal and Spain. Each polygon/point has the following attributes (where available): Country, Country_2, Country_3, Status (Active, Deactivated, Unknown), Type_1 (Firing Area, Air Force Exercise, Surface Exercise, Underwater Exercise, Mine Hunting Exercise, National Defence Area), Type_2, Type_3, Resource, Distance to coast (metres) and Area (square kilometres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in.

  • Categories  

    The Vessel Density maps in the EU were created in 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet Human Activities web portal (www.emodnet-humanactivities.eu). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS) and ORBCOMM. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year. Yearly averages are also available.

  • Categories  

    The dataset on aggregate extraction in the EU was created in 2014 by AZTI for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU. It is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points representing aggregate extraction sites, by year (although some data are indicated by a period of years), in the following countries: Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Lithuania, Poland, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: Id (Identifier), Position Info (e.g.: Estimated, Original, Polygon centroid of dredging area, Estimated polygon centroid of dredging area), Country, Sea basin, Sea, Name of the extraction area, Area of activity (km2), Year (the year when the extraction took place), Permitted Amount (m3) (permitted amount of material to be extracted, in m3), Permitted Amount (t) (permitted amount of material to be extracted, in tonnes), Requested Amount (m3) (requested amount of material to be extracted, in m3), Requested Amount (t) (requested amount of material to be extracted, in tonnes), Extracted Amount (m3) (extracted amount of material, in m3), Extracted Amount (t) (extracted amount of material, in tonnes), Extraction Type (Marine sediment extraction), Purpose (e.g.: Commercial, Others, N/A), End Use (e.g.: Beach nourishment, Construction, Reclamation fill, N/A), Material type (e.g.: sand, gravel, maerl), Notes, Link to Web Sources. In the 2021 update, extraction data until 2020 has been included.

  • Categories  

    The database on marine finfish aquaculture in the EU was created in 2017 by AND-International for the European Marine Observation and Data Network (EMODnet). The dataset provides information about the location of marine finfish farms in the EU and partner countries where data are available. There is an obligation for EU MS to inventory all authorized aquaculture sites under the Council Directive 2006/88/EC on animal health requirements. Despite this obligation, the availability of data varies among MS from no data available at all to a complete regularly updated dataset (e.g.in Ireland). As far as partner countries are concerned, data have been collected only in Norway and the UK (Scotland only) at this stage, where detailed data are provided online. Data provided here cover Cyprus, Danmark, Finland, Greece, Ireland, Malta, Norway, Spain and the UK (Scotland only). Data collection is still undergoing in other EU MS and neighbouring countries. Each point has the following attributes (where available): Country, Owner name, Status (Active, Expired, Inactive, Renewal, n.a.), Farm type (Flatfish, Diversified farm, Other specialised farm, Salmon, Salmonids, Seabass-seabream, Trout,Tuna, n.a.), Production method (Sea cages, Saltwater tanks/raceways, Saltwater ponds, Saltwater closed (recirculation), Quarantine, Other, n.a.), Production stage (Grow out for human consumption, Hatchery, Nursery, Brood stock, Reproduction, Restoration of wild stock, Put and take fisheries, Processing facility, Salughtering facility, Other, n.a.), Purpose (Commercial, Restocking, Other, n.a.), Products detailed (detailed product information names as presented in the source and translated to English), Point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), Site_ID. The farm type relies on a typology established by AND-International, based on available information on species grown. A relational table provides harmonised information about species grown using Eurostat nomenclature for the Species Group (Cods, hakes, haddocks; Flounders, halibuts, soles; Miscellaneous coastal fishes, Miscellaneous demersal fishes; Miscellaneous pelagic fishes; Salmons, trouts, smelts;Tunas, bonitos, billfishes), the species name (commercial and scientific) and the code. Compared with the previous version this new version has been not only updated but was also reviewed (dataset schema and attributes values), in order to add information on production methods, production stages and purposes and to provide a more useful typology based on species grown.

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    The dataset on areas for aggregate extraction in the EU was created in 2018 by AZTI for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU. It is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains polygons representing areas of seabed licensed for exploration or extraction of aggregates, in the following countries: Belgium, Denmark, Finland, France, Germany, Italy, Lithuania, Poland, Portugal, Russia, Sweden, The Netherlands and United Kingdom. Where available, each polygon has the following attributes: Id (Identifier), Area code, Area name, Country, Sea basin, Sea, Starting year (the year when the license starts), End year (the year when the license ends), Site Type (exploration area, extraction area, extraction area (in use)), License status (Active, not active, unknown), Material type (e.g.: sand, gravel, maerl), Notes, Distance to coast (in metres), Link to Web Sources. In the 2021 update, new areas have been included, and the data on the existing polygons have been updated.

  • Categories  

    The geodatabase on dredging in the EU was created in 2014 by AZTI for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU. It is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points representing dredging sites in the following countries: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Norway, Poland, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: Id (Identifier), Position Information (e.g.: Estimated, Original, Polygon centroid of dredging area, Polygon centroid of dredging polygon), Country, Sea basin, Sea, Extraction Area, Year (when data is for a time period, the first year of the period is indicated), Permitted Amount (m3), Permitted Amount (t), Extracted Amount (m3), Extracted Amount (t), Extraction Type (e.g.: Harbour dredging, Estuary dredging, Sea lane), Purpose (e.g.: Maintenance dredging, Capital dredging, Others), End Use (e.g.: Beach nourishment, Commercialization, Confined deposit, Construction material, Embankment, Filling material, Land deposit, Reuse, Sea disposal, Wetland restoration), Material type (e.g.: silt, sand, gravel), Notes, Link to Web Sources.In the 2021 update, extraction data until 2019 has been included.

  • Categories  

    The dataset on fish catches in the EU was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. Fish species have been grouped by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups (CG) and Main Commercial Species (MCS). Tonnes live weight is provided for each fish species caught in EU fishing statistical area, by year of reference, CG, MCS and country. EUROSTAT data have been related to FAO's georeferenced fishing statistical areas (polygons). The dataset is updated yearly and it covers a time series from 1950 to 2019, where available. Compared with the previous version this new version includes data for 2018 and 2019 (often provisional or estimated).

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    The dataset on fishing intensity in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the elaboration of the International Council for the Exploration of the Sea (ICES) data on: i) Spatial distribution of average annual fishing effort (mW fishing hours) in the Greater North Sea and Baltic Sea during 2015–2018, by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) Average annual subsurface (top) and surface (bottom) disturbance by mobile bottom contacting fishing gear (bottom otter trawls, bottom seines, dredges, beam trawls) in the Greater North Sea and Baltic Sea during 2015–2018, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-square geocode system (polygons). The dataset is updated yearly and as soon as new data from ICES are released.