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The dataset on offshore active licences for Oil and Gas exploitation and exploration in the EU was created in 2014 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 EU and non-EU sources. It is updated every year, and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). It contains polygons representing active offshore licenced areas in the following countries: Croatia, Cyprus, Denmark, France, Germany, Ireland, Italy, Malta, Netherlands, Norway, Poland, Spain and United Kingdom. Where available each polygon has the following attributes: country, code, name, type (exploitation, exploration, exploitation and exploration, other, N/A), licensing round (it includes also pending applications in France and Spain), area (square km), area info (it indicates if the area value is original from the source or has been calculated), starting year, ending year, operator or administrator. Compared with the previous release, 'Exploitation, exploration' new type of licence has been added. Italy's exploration licences are all temporarily suspended.
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This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available under the Download link indicated below. Available scales are 1M, 3M, 10M, 20M, 60M). The full dataset is available via the EC restricted download link under GISCO.NUTS_2016. Here six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2013.
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The Marine Reporting Units (MRUs) are used within the reporting obligations of the Marine Strategy Framework Directive (MSFD) in order to link the implementation of the different articles to specific marine areas. The MRUs can be of varying sizes, according to the appropriate scale for the different reports (e.g. region, sub-region, regional or sub-regional subdivision, Member State marine waters, WFD coastal waters, etc.), as indicated in the Good Environmental Status 2017 Decision. The present data set is the first public version released of the MRUs used during the first cycle of implementation of the MSFD (2012-2018) in all the reporting exercises (2012 reporting of Articles 8, 9 and 10; 2014 reporting of Article 11; and 2016 reporting of Articles 13 & 14). The data set is distributed in SHP and in INSPIRE-compliant GML format.
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List of fish stocks referenced for the year 2018. The repository includes 477 stocks. Each stock is identified by a unique key in accordance with the ICES codification in use. Each record contains a stock identifier, a species or group of species identifier according to the ASFIS/FAO classification, the English stock name, the Latin name of the species, the assessment area according to the FAO codification of fishing sectors. When the stock assessment area groups a series of sectors, the first and last sectors in the series are separated by a dash.
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The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO (https://land.copernicus.eu/imagery-in-situ/eu-hydro) and GSHHG (http://www.soest.hawaii.edu/pwessel/gshhg/). The defining criteria was altitude level = 0 from EUDEM (https://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view). Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). In this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.
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Il s'agit du diagnostic du SCOT et de l’état initial de l'environnement validé en 2014.
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The Sir Alister Hardy Foundation for Ocean Science (SAHFOS) is an international charity that operates the Continuous Plankton Recorder (CPR) Survey. The dataset covers the North Atlantic and the North Sea on since 1958.
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L’objectif général de ce projet de thèse est d’analyser et d’évaluer les données sources (actuelles et potentielles) des matrices de changements d’occupation du sol afin d’améliorer la robustesse de l’inventaire. Il s’agit d’expertiser par une démarche scientifique la pertinence des travaux réalisés annuellement pour l’inventaire UTCATF. En particulier, il s’agit de comprendre les causes des incertitudes des données sources ; compiler les données disponibles et leurs métadonnées ; étudier qualitativement les dynamiques paysagères décrites ; et redéfinir un cadre méthodologique permettant d’estimer des taux de changements plus pertinent.
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The dataset shows the percentage of cities' administrative area (core city based on the Urban Morphological Zones dataset) inundated by the sea level rise of 1 metre, without any coastal flooding defences present for a series of individual coastal European cities (included in Urban Audit). The dataset has been computed using the CReSIS (Centre for Remote Sensing of Ice Sheets) dataset for 2018.
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Frise chronologique des millésimes de modes d'occupation des sols produits par les régions françaises et par le programme Corine Land Cover.
Catalogue PIGMA