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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.

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.

Model Output Statistics for SHKODRA (13600)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Geographic Information System of the European Commission (GISCO)

This metadata refers to the whole content of GISCO reference database, 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).

Copernicus National Boundary Layer with 250 m buffer, version 3, Jan. 2019

For the provision of land monitoring services within COPERNICUS, a consistent, stable, sufficiently detailed boundary layer is required at EEA, which provides a “land mask” for the area that needs to be monitored. This metadata refers to the National Boundary layer both in vector formats (GDB, SHP) and in raster format (TIFF) at 10, 20 and 100m resolution, of each of the EEA member and cooperating countries as well as the United Kingdom (former EEA39). This is a product derived from the EEA 39 Border Expert product, generalised to a scale of about 1:1 000 000 by applying a buffer of 250m and selecting the outline. Each country boundary has been projected to its respective national system(s), which are specified together with the EEA. The Border Expert product is based on the EU-Hydro Coastline Version 3 from EEA, the EEA coastline for analysis Version 2, the EBM GISCO Hybrid Layer from EEA, the EuroGeographics EuroBoundary Map Version 12, the “Water and Wetness High Resolution Layer 2015” from EEA and the JRC-Global Surface Water Occurrence layer. The production of this Border Product was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.

Climatic suitability index modelling for tiger mosquito (Aedes albopictus) 2008-2009, Jan. 2020

This raster dataset provides the modelling of the climate suitability index values (0-100%) for tiger mosquito (Aedes albopictus) for 100 European cities for the years 2008-2009, with a resolution of 100 m. Aedes Albopictus has become a common occurrence in Southern Europe and transmits diseases such as Zika, dengue and chikungunya. The climatic suitability for tiger mosquito depends on factors such as sufficient amounts of rainfall, high summer temperatures and mild winters. Climate change is anticipated to further facilitate the spread of tiger mosquitoes across Europe by changing temperature and precipitation patterns, thereby increasing the suitable habitat. In the framework of the Copernicus Climate Change Service (C3S) SIS European Health, VITO has provided to the Climate Data Store 100m resolution hourly temperature data for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). From this dataset, this climate suitability dataset has been generated based on annual precipitation and the average temperature in January and during the summer period (months June, July and August) for the years 2008-2009, following the methodology by European Centre for Disease Prevention and Control (ECDC, 2009). The 100 European cities for the urban simulations were selected based on user requirements within the health community.

Heat-related mortality per European country (2000-2020), Apr 2023

This metadata refer to the dataset presenting the modelled annual heat-related mortality incidence (annual deaths per million inhabitants) in Europe between 2000 and 2020 Heat-related deaths are estimated to have increased in 931 (94%) of the 990 regions monitored from 2000 to 2020, with an overall mean increase of 15·1 (95% CI –1·51 to 31·6) annual deaths per million inhabitants per decade for the general population, and 60·4 (–17·8 to 138·6) extra deaths per million inhabitants per decade for people 65 years and older.

Internationale Hydrogeologische Karte von Europa 1:1.500.000 (IHME1500) - Blatt D6 Athina

Die Internationale Hydrogeologische Karte von Europa im Maßstab 1:1.500.000 (IHME1500) ist ein Kartenwerk hydrogeologischer Übersichtskarten, das aus 25 Kartenblättern mit dazugehörigen Erläuterungen besteht und das den gesamten europäischen Kontinent und Teile des Nahen Ostens abdeckt. Die nationalen Beiträge zu diesem Kartenwerk werden von Hydrogeologen und Spezialisten anderer verwandter Wissenschaftsbereiche unter der Schirmherrschaft der Internationalen Assoziation der Hydrogeologen (IAH) und ihrer Kommission für Hydrogeologische Karten (COHYM) geleistet. Das Kartenprojekt wird von der Kommission für die Geologische Weltkarte (CGMW) unterstützt. Die wissenschaftlich-redaktionelle Arbeit wird finanziell durch die Regierung der Bundesrepublik Deutschland über die Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) und die Organisation der Vereinten Nationen für Bildung, Wissenschaft und Kultur (UNESCO) gesponsert. Beide Organisationen sind für die Kartographie, den Druck und die Publikation der Kartenblätter und Erläuterungen verantwortlich. In der IHME1500 werden die hydrogeologischen Gegebenheiten von Europa als Ganzes ohne Berücksichtigung politischer Grenzen dargestellt. Gemeinsam mit den begleitenden Erläuterungsheften kann das Kartenwerk für wissenschaftliche Zielstellungen, für regionale Planungen und als Grundlage für detaillierte hydrogeologische Kartierarbeiten genutzt werden.

Climatic suitability for the transmission of chikungunya in Europe (1951-2021), Apr 2023

This metadata refer to the dataset presenting the annual change in the basic reproduction number (R0) for chikungunya transmission in the period 1951-2021. The basic reproduction number of chikungunya from Aedes mosquitos is calculated using a model to capture the influence of temperature and rainfall on mosquito vectorial capacity and mosquito abundance, and overlaying it with human population density data to estimate the R0 (i.e., the expected number of secondary infections resulting from one infected person).

Model Output Statistics for DURRES (13611)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

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