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GISCO - Nomenclature of Territorial Units for Statistics 2021 (NUTS 2021), May 2021

The 'GISCO NUTS 2021' data set represents the NUTS 2021 regulation and statistical regions by means of multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The NUTS 2021 classification has been established through the Commission Delegated Regulation 2019/1755, which entered into force on 8th August 2019 and applies from 1st January 2021. A non official NUTS-like classification has been defined for the EFTA countries and the candidate countries. At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions, while the points provide an anchor for each region. Associated tables contain basic information such as the name of the region. The public data set will be available at 1M, 3M, 10M, 20M, 60M, while the full data set at 100K is restricted. The data set covers EU Member States, EFTA countries, EU candidate countries and the UK. Following the departure of the UK from the European Union, the UK is no longer flagged as an EU Member State but retains its place in the NUTS and statistical regions data set. This dataset (NUTS_2021) is derived from the EuroBoundary Map 2020 (EBM2020) from Eurogeographics as well as GISCO NUTS 2016 (from Türkiye). The list of NUTS2021 codes including changes with respect to NUTS2016 is available on https://ec.europa.eu/eurostat/documents/345175/629341/NUTS2021.xlsx. The public metadata for NUTS 2021 released by Eurostat is available here: https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-metadata.xml. This revision (May 2021) includes minor changes in the dataset such as (see https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-release-notes.txt): * 2020-10-05 Point snapping is disabled in all datasets, number of decimals increased for 01M datasets. * 2020-11-18 Inclusion of Jan Mayen and Svalbard in to Norways Statistical Regions. Amendment to Serbia NUTS BN line status. * 2020-12-05 Fixed broken utf-8 encoding. * 2021-03-15 Added LAU 2011,2012,2013,2014,2015,2020 * 2021-04-26 Fixed country labels 2001, 2006 (incorrect Kosovo coordinates) IMPORTANT NOTE: Additional information, including the conditions of use and acknowledgement notice is included in the document provided with the dataset "GISCO NUTS 2021 Additional Information.pdf". Public access to this data set is restricted due to intellectual property rights. It shall only be used internally by the EEA, its ETCs and subcontractors working on behalf of the EEA. This metadata has been slightly adapted from the original metadata information provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview.

Climate related hazards

This series refers to datasets related to the potential occurrence of a climate-induced physical event or trend that may cause loss of life, injury, or other health impacts, as well as damage and loss to property, infrastructure, livelihoods, service provision, ecosystems and environmental resources. It includes datasets on flooding, drought, urban heat island and heatwaves, extreme temperatures and precipitations, fire danger as well as climate suitability for vectors of infectious diseases. The datasets are part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/

Geographic Information System of the European Commission (GISCO) - full database, May 2021

GISCO (Geographic Information System of the COmmission) is responsible for meeting the European Commission's geographical information needs at three levels: the European Union, its member countries, and its regions. In addition to creating statistical and other thematic maps, GISCO manages a database of geographical information, and provides related services to the Commission. Its database contains core geographical data covering the whole of Europe, such as administrative boundaries, and thematic geospatial information, such as population grid data. Some data are available for download by the general public and may be used for non-commercial purposes. For further details and information about any forthcoming new or updated datasets, see http://ec.europa.eu/eurostat/web/gisco/geodata. This metadata refers to the whole content of GISCO reference database extracted in May 2021, which contains both public datasets (also available for the general public through http://ec.europa.eu/eurostat/web/gisco/geodata) and datasets to be used only internally by the EEA (typically, but not only, GISCO datasets at 1:100k). The database is provided in as a single GDB and also as individual GPKG file per feature, with datasets at scales from 1:60M to 1:100K, with reference years spanning until 2021 (e.g. NUTS 2021). Additional information and metadata is provided with the dataset in the folder docs. The database manual, a file with the content of the database, a glossary, and a document with the naming conventions are included in this folder. The document GISCO-ConditionsOfUse.pdf provided with the dataset gives information on the copyrighted data sources, the mandatory acknowledgement clauses and re-dissemination rights. The license conditions for EuroGeographic datasets in GISCO are provided in a standalone document "LicenseConditions_EuroGeographics.pdf". The main updates with respect to the previous version of the full database in the SDI (from June 2020) are the addition of the following datasets: - Coastline boundaries, 2020 (COAS_2020) (N.B.: An update is expected soon) - Degree of Urbanisation, 2020 (DGURBA_2020) - Exclusive Economic Zones, 2020 (EEZ_2020) - FAO Fishing Areas, 2020 (FAO_FISH_2020) - Healthcare services (HEALTH) - LAU Historical Census data (LAU_CENS_1961-2011) - Local Administrative Units, 2017 (LAU_2017), 2019 (LAU_2019) and 2020 (LAU_2020) - LUCAS, 2018 (LUCAS_2018) - Metropolitan Regions, 2021 (MREG_2021) - Postal Codes, 2020 (PCODE_2020) (N.B.: DE is to be updated soon) When available, the model specifications of these new layers are also provided with the database (under the folder docs). NOTE: This metadata file is only for internal EEA purposes and in no case replaces the official metadata provided by Eurostat. For specific GISCO datasets included in this version there are individual EEA metadata files in the SDI: NUTS_2021, MREG_2021 and CNTR_2020. For public products, continuous updates are being published in the public website of GISCO: https://ec.europa.eu/eurostat/web/gisco/geodata. The original metadata files from Eurostat for the different GISCO datasets are available via ECAS login through the Eurostat metadata portal on https://webgate.ec.europa.eu/inspire-sdi/srv/eng/catalog.search#/home For more information about the full database or any of its datasets, please contact the SDI Team (sdi@eea.europa.eu).

Urban Heat Island (UHI) intensity modelling, Jan. 2020

The raster dataset of urban heat island modelling shows the fine-scale (100m pixel size) temperature differences (in degrees Celsius °C) across 100 European cities, depending on the land use, soil sealing, anthropogenic heat flux, vegetation index and climatic variables such as wind speed and incoming solar radiation. In the framework of the Copernicus European Health contract for the Copernicus Climate Change Service (C3S), VITO provided 100m resolution hourly temperature data (2008-2017) for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). As the cities vary in size, so do the model domains. They have been defined with the intention to have a more or less constant ratio of urban vs. non-urban pixels (as defined in the CORINE land use map), with a maximum of 400 by 400 pixels (due to computational restraints). From this data set, the average urban heat island intensity is mapped for the summer season (JJA), which is the standard way of working in the scientific literature (e.g. Dosio, 2016). The UHI is calculated by subtracting the rural (non-water) spatial P10 temperature value from the average temperature map. The 100 European cities for the urban simulations were selected based on user requirements within the health community.

Internationale Karte der Eisenerz-Vorkommen in Europa 1:2.500.000 - Blatt 12 Tbilisi

Die Internationale Karte der Eisenerz-Vorkommen in Europa 1 : 2 500 000 wurde 1977 fertig gestellt und von der BGR herausgegeben. Über 70 Geologen aus Europa, Nordafrika und dem Mittlerem Osten arbeiteten gemeinsam mit dem Redaktionsteam an der Kompilation der Karte und den Erläuterungen. Die Karte, die 42 Länder in 16 Kartenblättern abdeckt, zeigt mehr als 800 Eisenerz-Vorkommen. Alle bedeutenden Vorkommen (im Abbau oder stillgelegt) sind enthalten. Auch Vorkommen, die nur von genetischem oder historischem Interesse sind, wurden mit abgebildet. Detaillierte Informationen zur Internationalen Karte der Eisenerz-Vorkommen in Europa 1 : 2 500 000 - zu Struktur, Aufbau und Hintergrunddaten - sind in den Erläuterungen zur Karte zu finden.

Urban Morphological Zones 2006 (vector) - version 16, Jun. 2013

An urban morphological zone (UMZ) is defined as a "set of urban areas laying less than 200 m apart". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.

Schwerpunktprogramm (SPP) 1006: Bereich Infrastruktur - Internationales Kontinentales Bohrprogramm, Sub project: Bündel-Antrag Ohrid-See: Evolutionary, geological, and environmental history of Lake Ohrid (EGEL)

Lake Ohrid is a large (360 km2) and deep (289 m) lake of tectonic origin and is shared between the Republics of Macedonia and Albania. Biological and biogeographical studies of the lake revealed an outstanding degree of endemism and suggest a Pliocene origin of Lake Ohrid, making the lake the oldest one in Europe. The high age and the high degree of endemism make Lake Ohrid a first class site to investigate the link between geological and biological evolution in ancient lakes. Given its importance as refugium and spreading centre, the lake was declared a UNESCO world heritage site in 1979, and included as a target site of the International Continental Scientific Drilling Program (ICDP) already in 1993. The political situation in the Balkan in the mid 1990ies, however, hampered further establishment of Lake Ohrid as potential ICDP site. This proposal bundle seeks funds for the detection of the timing of major evolutionary events, the investigation of the origin, the sedimentological inventory, neotectonic movements, and the paleoecology and paleolimnology of Lake Ohrid in order to develop a full ICDP proposal for deep drilling. Within the scope of this cover proposal funds for the coordination of the single proposals, for scientific exchange between the single bundle proponents, and for the data management are applied for.

AG-InstitutionsNaturalResources - Institutionenökonomik natürlicher Ressourcen

Im Rahmen des Forschungsprojektes wird - teilweise interdisziplinär - theoretische und empirische Forschung betrieben, um das Handeln von Landwirten angesichts institutioneller Sachzwänge bei der landwirtschaftlichen Wasserbewirtschaftung und der Landnutzung besser zu verstehen. In etlichen Transformationsländern sind Eigentrumsrechte sowie Rechte auf Zugang und Nutzung von Wasser nur unzureichend definiert und es mangelt an Anreizen für gemeinsame Maßnahmen um Bewässerungsinfrastrukturen zu erhalten. In anderem Umfang, von Land zu Land verschieden, trifft dies auch auf die Land- und Waldnutzung zu. Die Wissenschaftlerinnen und Wissenschaftler nutzen hauptsächlich quantitative Methoden und arbeiten hier mit Primärdaten, die in einigen Transformationsländern erhoben wurden. Sie sind aber grundsätzlich für qualitative Methoden offen. Regionale Forschungsschwerpunkte sind Transformationsländer wie China und ausgewählte Länder Zentralasiens und Südosteuropas. Folgende Qualifikationsarbeiten sind Bestandteil des Projekts: - Tapping two sources: Farmers conjunctive use of groundwater and surface water in North West China (Bearbeitung: Eefje Aarnoudse) - The land and water nexus in a transition context: the case of Tajikistan (Bearbeitung: Frederike Gehrigk) - Too much but not enough: Issues of water management in Albania (Bearbeitung: Klodjan Rama).

GISCO - Nomenclature of Territorial Units for Statistics 2024 (NUTS 2024), May 2024 - PROVISIONAL DATA

This metadata refer to the PROVISIONAL 'GISCO NUTS 2024' data set representing the NUTS 2024 regulation and statistical regions by means of multipart polygon topology. The full dataset including polyline and point topology will be launched later in 2023. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The NUTS 2024 classification has been established through the Commission Delegated Regulation 2019/1755, which entered into force on 8th August 2019 and applies from 1st January 2021. A non official NUTS-like classification has been defined for the EFTA countries and the candidate countries. At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions, while the points provide an anchor for each region. Associated tables contain basic information such as the name of the region. The public data set will be available at 1M, 3M, 10M, 20M, 60M, while the full data set at 100K is restricted. The data set covers EU Member States, EFTA countries and the EU candidate countries.

EEA Reference grid

The grid is based on the recommendation at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. For each country three vector polygon grid shape files, 1, 10 and 100 km, are available. The grids cover at least country borders - plus 15km buffer - and, where applicable, marine Exclusive Economic Zones v7.0 - plus 15km buffer - (www.vliz.be/vmdcdata/marbound). Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.

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