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2017

103 record(s)
 
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    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 database on freshwater 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 freshwater 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 Scotland). As far as partner countries are concerned, data have been collected in Norway only at this stage, where detailed data are provided online. Data provided here cover Austria, Belgium, Bulgaria, Czechia, Denmark, Estonia, France, Greece, Ireland, Lithuania, Norway, Poland, Slovenia, and the UK (Scotland only). Data collection is still undergoing in other EU MS and neighbouring countries. The data for Spain is available through WMS services. There is a pending request to have access to the full data in order to integrate it to the EMODnet dataset. Each point has the following attributes (where available): status (Active, Expired, Inactive, Renewal), country, owner name, farm type (Carp, Diversified pond fish, Eel, Other diversified, Other specialised, Salmonids, Sturgeon, Trout), production method (Closed systems (recirculation), Ponds, Tanks-Raceways, Cages, Quarantine facility, Research facility, Other), production stage (Grow out for human consumption, Hatchery, Nursery, Brood stock, Put and take fisheries, Restoration of wild stock, Processing facility, Other), purpose (Commercial, Restocking, Other), Species from Source (English translation of the information provided on species grown in the source), 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 (Carps, barbels and other cyprinids; Miscellaneous freshwater fishes; River eels; Salmons, trouts, smelts; Sturgeons, paddlefishes; Tilapias and other cichlids), 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. Data from Belgium, Estonia, France and Lithuania have been added.

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    Confidence in the classification of the EUNIS/full-detail habitat types in the EUSeaMap (2019) broad-scale predictive habitat map. Values are 1 (low confidence), 2 (moderate confidence) or 3 (high confidence). The final habitat type is classified by overlaying several layers of information; these layers of information are collectively known as 'habitat descriptors'. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed substrate Riverine input The confidence in the classification of the habitat type is taken as the minimum of the confidence in all of the relevant habitat descriptors at that location. Confidence values are also available for each habitat descriptor and input data layer. Detailed information on the modelling process for the 2016 is found in the EMODnet Seabed Habitats technical report and its appendices (Populus et al, 2017, link in Resources). We are working on an updated report for the 2019 version. Created by the EMODnet Seabed Habitats project consortium. It is important to note that a habitat type confidence score is only relevant to that particular level of the classification system. For example, a cell of A3.1 high energy infralittoral rock with ‘low’ energy class confidence, ‘moderate’ biozone confidence and ‘high’ substrate type confidence would have an overall ‘low’ confidence. However, moving up the hierarchy to EUNIS level two (A3 infralittoral rock) removes the energy class; therefore, the confidence of the EUNIS level two habitat type would only consider the ‘moderate’ biozone confidence and ‘high’ substrate type confidence, resulting in an overall ‘moderate’ confidence.

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    Confidence in the classification of substrate type in the 2019 EUSeaMap broad-scale predictive habitat map. Values are on a range from 1 (Low confidence) to 3 (High confidence). Substrate type is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. The substrate layer confidence was obtained from reclassification and standardisation of the confidence scores associated with each primary layer used to create the Substrate types layer. Detailed information on the modelling process for the 2016 is found in section 2.7.2 of the EMODnet Seabed Habitats technical report and its appendices (Populus et al, 2017, link in Resources). We are working on an updated report for the 2019 version. Created by the EMODnet Seabed Habitats project consortium.

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    The multibeam data were collected during six-months in 2013 with a Kongsberg EM2040 compact dual-head multi-frequency system. Metadata for the 17-week-long survey is available from the Seadatanet catalogue CDIs: 145_CNR-ISMAR-102,145_CNR-ISMAR-103,145_CNR-ISMAR-104,145_CNR-ISMAR-105,145_CNR-ISMAR-106,145_CNR-ISMAR-107,145_CNR-ISMAR-108,145_CNR-ISMAR-109,145_CNR-ISMAR-110,145_CNR-ISMAR-111,145_CNR-ISMAR-112,145_CNR-ISMAR-113,145_CNR-ISMAR-114,145_CNR-ISMAR-115,145_CNR-ISMAR-116,145_CNR-ISMAR-117,145_CNR-ISMAR-118.

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    The dataset on offshore pipelines in the EU was created in 2017 by Cogea 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 over the EU (plus Norway). The database contains lines representing the actual routes of offshore pipelines (where available) in the following countries: Croatia, Denmark, Estonia, Finland, Germany, Ireland, Netherlands, Norway, Poland, Russia, Spain (Andalucía), Sweden and United Kingdom. Each line has the following harmonized attributes (where available): code, name, status (abandoned, active, application submitted, not in use, planned, pre-commissioning, proposed, under construction), medium (air, chemical glycol, chemical methanol, chemical n/a, condensate, control, cooling water, gas, geothermal heating, hydraulic, mixed hydrocarbons, oil, other fluid, sewage, water), operator, size (inches), length (metres), year, from and to locality or facility, country code, country name and notes. Compared with the previous version, this new version includes updated data from Helcom and Nord Stream 2 sources.

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    This BGS marine geophysical survey took place in September 2010 in the area SW of Little Cumbrae Island, Scotland on board the BGS survey vessel White Ribbon. The purpose was to obtain data to add to the BGS data archive and to contribute to the geological interpretations for the Marine Environmental Mapping Programme (MAREMAP). The data will also be of value to the Clyde Basin Project. Multibeam data were collected digitally using a Kongsberg EM3002D. 4 lines were acquired with an overlap of approximately 50% to provide a full survey of the sea floor.

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    This British Geological Survey (BGS) marine geophysical and multibeam survey took place in January/Febuary 2012 in the area of the Moray Firth on board the RV White Ribbon. The purpose was to enable BGS to reconstruct the glacial history of the areas and place it in the wider context of the dynamics of the British Ice Sheet. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system.

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    This BGS marine geophysical survey took place in July 2005 in the Summer Isles region aboard the RV Calanus. The survey was a part of the BGS Offshore Mapping and Modelling Project, North Atlantic Correlation. Subsurface data were gathered using a Surface Tow Boomer and a very detailed swath coverage of the Summer Islands region together with Loch Broom and Little Loch Broom was achieved using a Geoacoustics GeoSwath system supplied and operated by Fathoms Ltd.

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    This marine multibeam survey took place in August 2011 in the area around Noss Head and the Southern Trench in the Moray Firth on board the Northern Lighthouse Board vessel NLV Pole Star. The survey was carried out by the British Geological Survey (BGS) on behalf of Marine Scotland and Scottish Natural Heritage (SNH) for Marine Protected Area (MPAs) related studies. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system.