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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.

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).

Climatic suitability for the transmission of malaria in Europe (1950-2020), Apr 2023

This metadata refer to the dataset presenting the annual change in the number of months suitable for the transmission of the Plasmodium vivax parasite causing malaria. The suitable months are those with precipitation above 80 mm, average temperature between 14.5°C and 33°C, and relative humidity above 60%, in land types highly suitable for Anopheles mosquitoes.

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 ]

Copernicus Boundary Layers with 250m buffer

The Copernicus boundary layers cover the EEA38 member states and United Kingdom including the French DOM (French Guiana GF, Guadeloupe GP, Martinique MQ, Mayotte YT and Reunion RE). The Copernicus Boundary Layer provides both land masks for the countries as well as national boundaries. The datasets are based on a rasterisation of the Boundary Layer vector product. The raster products are available with 250 m buffer in these resolutions: raster 10m, raster 20m and raster 100m. The production of the Border Products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme. The use of the raster 10m, raster 20m and the vector data has to be agreed with EEA.

Elevation map of Europe based on GTOPO30

WARNING: this dataset is outdated and we suggest using the much higher resolution (90m, 30m (public) and 10 m (restricted)) Copernicus DEM - Global and European Digital Elevation Model accessible at https://doi.org/10.5270/ESA-c5d3d65. The data is made using the global digital elevation model (DEM) derived from GTOPO30. Note that the values in the file are not the original elevation data. The data has been processed to create an image for presentation purposes streching a predefined colour template over the derived values. GTOPO30 is a digital elevation model for the world, developed by United States Geological Survey (USGS). It has a 30-arc second resolution (approximately 1 km)

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 TIRANA (13615)

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 ]

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 ]

Model Output Statistics for KUKES (13610)

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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