This dataset is copied from Eurostat and visualizes the NUTS3 areas as of 2021. It includes information about wether or not the areas are metropolitan areas.

The province of South-Holland also analyzed the population data from Eurostat at Nuts 3 level from 2015 to 2022. We identified areas where the population grew, stayed stable of declined. This information is added to each area.

Created for the Mapping METREX GIS-viewer, hosted by province South-Holland. Link to the viewer: https://experience.arcgis.com/experience/2a24effbf2a1495aa0d20966f4b70886.

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.

COMEXT is the Eurostat reference database for external trade. It contains both recent and historical data from the European Union (EU) Member States and a significant number of third countries covering the value of exports and imports of products. Data are available: • by type of product (following the Statistical classification of products by activity (CPA) ), • by reporting Member State; • by source and by destination. COMEXT is updated on a daily basis. EU data on external trade are compiled according to EU guidelines and may therefore differ from national data published by Member States.

Website: http://ec.europa.eu/eurostat/data/database See "International trade", "International trade detailed data (detailed)"

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 metadata only refers to the full NUTS2021 dataset (polygons) at 100k (NUTS_RG_100K_2021), which is derived from the EuroBoundary Map 2020 (EBM2020) from Eurogeographics as well as GISCO NUTS 2016 (from Türkiye). With the dataset it is also provided the table NUTS_AT_2021.dbf and an excel file NUTS2016-NUTS2021.xlsx with the list of changes between 2016 and 2021.

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.

Health-related impactable mortality according to the EUROSTAT sample for causes and ages, 0-79 years – deaths per 100000 inhabitants. Health care-related actionable deaths refer to deaths caused by diseases that are deemed to be affected by medical interventions, early detection and treatment. Age-standard values. Measurement period is 3 years. The value is reported on the last measurement year. Data is available according to gender breakdown.

The database on waste at ports in the EU was created in 2018 by CETMAR using the Ports 2013 data available in Eurostat web page (http://ec.europa.eu/eurostat/web/main/home). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Following the MARPOL Convention waste at ports have been reported by Ports indistincly in cubic meters (m3) and/or in tonnes (t) and classified as oily waste (Annex I), garbage (Annex V), sewage (Annex IV), harbour waste (garbage) and total amount*. These datasets include annual data when available and are updated in the following countries: Croatia, Denmark, Estonia, Finland, France, Greece, Italy, Latvia, Malta, Netherlands, Portugal, Romania, Spain and Sweden. *Total amount only report the sum of available values for each of the given units (m3 or tonnes).

Health policy-adjustable mortality per 100000 inhabitants, age 0-74. Health policy actionable mortality refers to diagnoses and causes of death that are considered to be possible to influence with broader health policy interventions. The diagnoses included include diseases of the circulatory system, respiratory system, endocrine and infectious diseases. In addition, there are also diseases due to pregnancy and childbirth, congenital malformations and alcohol- and drug-related mortality. Age-standard values. Published every three years, in Kolada the latest available value is used. Data is available according to gender breakdown.

I dati Eurostat contengono molti indicatori (a breve termine, strutturali, specifici a tema e altri) sull'UE-28 e sulla zona euro, sugli Stati membri e sui loro partner. La banca dati di Eurostat contiene sempre l'ultima versione dei set di dati, il che significa che non vi è alcuna versione dei dati. I set di dati vengono aggiornati due volte al giorno, alle 11:00 e alle 23:00, nel caso in cui siano disponibili nuovi dati o a causa di cambiamenti strutturali.

È possibile accedere ai set di dati tramite SDMX Web Services, nonché tramite Json e Unicode Web Services.

SDMX Web Services è un accesso programmatico ai dati Eurostat, con la possibilità di: — ottenere un elenco completo dei set di dati disponibili al pubblico;

— dettagliare la definizione completa della struttura di un dato set di dati; — scaricare un sottoinsieme di un dato set di dati o un set di dati completo.

Servizi Web SDMX:

— fornire l'accesso alle serie di dati elencate nella banca dati per temi e tabelle predefinite elencate nelle tabelle per temi; — fornire dati nei formati SDMX 2.0 e 2.1; — sostenere sia i protocolli di trasferimento dello Stato di rappresentanza (REST) che quelli del protocollo di accesso agli oggetti semplici (SOAP); — risposte di ritorno solo in lingua inglese; — sono gratuiti.

I Web Services JSON & UNICODE sono un accesso programmatico ai dati Eurostat, con la possibilità di scaricare un sottoinsieme di un dato set di dati. Questa operazione consente di personalizzare le richieste di dati. È possibile filtrare le dimensioni per recuperare sottoinsiemi di dati specifici.

I Servizi Web JSON & UNICODE:

— fornire i dati in formato JSON-stat e UNICODE; — sostenere solo il protocollo di trasferimento dello Stato di rappresentanza (REST); — fornire risposte in inglese, francese e tedesco;
— sono gratuiti.

Under the law of the sea, an exclusive economic zone (EEZ) is a sea zone over which a state has special rights over the exploration and use of marine resources. It stretches from the seaward edge of the state territorial sea out to 200 nautical miles from its coast. The data set has been derived from the World Maritime Boundaries v5.0 dataset from the Flanders Marine Institute (VLIZ) and integrated with the datasets "Communes 2010 – European Commission, Eurostat/GISCO", "Countries 2010, European Commission - Eurostat/GISCO", "Coastlines 2010, European Commission - Eurostat/GISCO". The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.

These metadata are derived from the original metadata records available at Inspire@EC.

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 July 2018, which contains both public datasets and datasets to be used only internally by the EEA. 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 database is provided in GDB and in SQLITE, with datasets at scales from 1:60M to 1:100K, with reference years spanning until 2016. The database manual, a file with the content of the database, and a document with the naming conventions are also provided with the database. For particular datasets extracted from this database (NUTS 2016 and COUNTRIES 2016) please refer to the associated resources in the EEA SDI catalogue.

NOTE: This metadata file is only for internal EEA purposes and in no case replaces the official metadata provided by Eurostat.

Electricity prices components for household consumers -annual data (from 2007 onwards). Annual values taken from the Eurostat dataset with a national level resolution.

Collected data showing climate impact in Umeå municipality from household consumption divided into different categories.The numeric code reported with each subcategory is a so-called COICOP code, according to an international standard for classifying consumption-based emissions: FN (2018), Classification of Individual Consumption According to Purpose (COICOP) 2018, Department of Economic and Social Affairs Statistics Division. Direct emissions, such as emissions from fuels while driving or burning fuels for heating, are not included in COICOP and are therefore reported without a code. Read more about the COICOP classification here: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Classification_of_individual_consumption_by_purpose_(COICOP)

Source: Stockholm Environment Institute (SEI), the tool Konsumtionskompassen (the Consumption Compass)SEI's analysis tool, the Consumption Compass reports an average for each municipal group according to Sweden's municipalities and regions, municipal group classification from 2017. Umeå municipality is part of municipal group B3, which means a larger city with at least 40,000 and less than 200,000 inhabitants in the municipality's largest urban area.At sei.org there is more detail, method descriptions and more data for all municipalities in Sweden. https://www.sei.org/projects-and-tools/tools/konsumtionskompassen/Visit sei.org for an English version of the data. https://www.sei.org/projects-and-tools/tools/konsumtionskompassen/ Some headings have been changed to clarify that it is a main/subcategory or to clarify that it is data relating to the municipality of Umeå

Данните на Евростат съдържат много показатели (краткосрочни, структурни, специфични за темата и други) за ЕС-28 и еврозоната, държавите членки и техните партньори. Базата данни на Евростат винаги съдържа последната версия на наборите от данни, което означава, че няма версии на данните. Наборите от данни се актуализират два пъти дневно, в 11:00 и в 23:00 часа, в случай че има налични нови данни или поради структурни промени.

Възможно е достъп до наборите от данни чрез SDMX Web Services, както и чрез Json и Unicode Web Services.

SDMX Web Services е програмен достъп до данни на Евростат, с възможност за:

да получите пълен списък на публично достъпните набори от данни; — подробно описание на пълното определение на структурата на даден набор от данни; изтегляне на подмножество от даден набор от данни или пълен набор от данни.

Уеб услуги на SDMX:

предоставяне на достъп до наборите от данни, изброени в базата данни по теми, и предварително определени таблици, изброени под таблици по теми; предоставяне на данни във формати SDMX 2.0 и 2.1; — да подкрепят както протоколите за представителство за държавен трансфер (REST), така и протоколите за опростен достъп до обекти (SOAP); — отговори само на английски език; — са безплатни.

Уеб услугите JSON & UNICODE представляват програмен достъп до данни на Евростат с възможност за изтегляне на подмножество от даден набор от данни. Тази операция позволява персонализиране на заявки за данни. Можете да филтрирате по размери, за да извлечете конкретни подмножества от данни.

Уеб услугите JSON & UNICODE:

предоставяне на данни във формати JSON-stat и UNICODE; — да подкрепя само протокола на представителния държавен трансфер (REST); даване на отговори на английски, френски и немски език;
— са безплатни.

highRES-Europe is a dataset and instantiation of the highRES modelling framework, which allows a user to run a basic European version of highRES. highRES is built in GAMS, and the entire workflow used for preparing the data and running the model is openly available in a GitHub repository: https://github.com/highRES-model/highRES-Europe-WF. Additional information on how the model and workflow is structured can be found in the documentation (https://highres-europe-wf.readthedocs.io/en/latest/).

This particular version of the data is set to run a model that is based on the weather conditions of 2010, which impacts the performance and availability of variable renewable energy sources (wind, solar and hydro) and the demand. Links and instructions of how to acquire weather- and demand data for other years is available in this repository where the data is described.

Demand data

The underlying demand data is acquired from the interannual demand calculator (https://zenodo.org/records/10820928), which is further processed in highRES-workflow. The data available in the interannual demand calculator ranges from between 1941-2023.

Note that we have renamed GB to UK in the demand data.

Weather data

Weather data used in highRES-Europe is based on ERA5 reanalysis data from ECMWF (https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5), which is available from 1940 to present. ERA5 reanalysis data is used to generate hourly capacity factor time series for onshore and offshore wind power, solar power and run-off-river hydropower as well as estimate hourly inflow to hydropower reservoirs. The wind power capacity factors are bias-corrected based on the Global Wind Atlas (https://wimby.eu/resource/d1-1-wind-resources-api/).

The hydropower time series are further normalised based on historic electricity generation data from the U.S. Energy Information Administration (https://www.eia.gov/international/data/world/electricity/electricity-generation).

Existing infrastructure

highRES-Europe runs a partial greenfield optimisation, meaning that some existing electricity system infrastructure is already available and fixed in the model. Existing hydropower capacities and their spatial allocation is acquired from the JRC Hydropower database (https://zenodo.org/records/5215920).

Land availability restrictions and shapefiles

Part of the workflow includes excluding areas from VRE deployment.

Shapefiles for Europe is acquired from Eurostat (https://ec.europa.eu/eurostat/web/gisco/geodata/statistical-units/territorial-units-statistics). The main exclusions are based on Corine land cover (https://doi.org/10.2909/960998c1-1870-4e82-8051-6485205ebbac) and WDPA (https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA).

The dataset represents the administrative boundaries of the 39 EEA countries at various aggregation level following NUTS 2016 classification: Country (NUTS0), NUTS1, NUTS2, and NUTS3 regions.

The dataset is created in raster format with a spatial resolution of 100m grid size. Spatial extent of the dataset is adjusted to the latest Corine Land Cover product [Corine Land Cover 2012 (raster 100m) - version 18, Sep. 2016]. This dataset is created as a reference layer for performing spatial analysis and calculating statistics at country level for the European territory as needed by accounting activities such as Land and Ecosystem Accounting (LEAC).

Administrative boundaries were derived from the EUROSTAT GISCO dataset [European Commission, Eurostat (ESTAT), GISCO -Nomenclature of Territorial Units for Statistics 2016 (NUTS), Mar. 2018], EuroGeographics product [EuroBoundaryMap (full European coverage) - version 12, Jan. 2018], and coastal areas were derived from the Economic Exclusive Zone dataset [version 10.0 available in marineregions.org].

The indicator is a composite index based on a combination of surveys and assessments of corruption from 13 different sources and scores and ranks countries based on how corrupt a country’s public sector is perceived to be, with a score of 0 representing a very high level of corruption and a score of 100 representing a very clean country. The sources of information used for the 2017 CPI are based on data gathered in the 24 months preceding the publication of the index. The CPI includes only sources that provide a score for a set of countries/territories and that measure perceptions of corruption in the public sector. For a country/territory to be included in the ranking, it must be included in a minimum of three of the CPI’s data sources. The CPI is published by Transparency International.

The present layer contains the main European ports, including: Core and Comprehensive Ports from the TEN-T network, other ports of relevance (handling more than 1,000,000 tons per year or with a traffic higher than 1,000,000 passengers per year, following Eurostat Statistics 2017) and main fishing ports (with more than 100 fishing vessels registered, according to the Fleet Register of the European Union). The dataset has been prepared in the context of the development of the first European Maritime Transport Environmental Report (to be published as an EMSA-EEA report in 2021), and has been derived from a database created in 2019 within the LOOP-Ports project (https://www.loop-ports.eu/).

The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated.

This metadata refers to the vector dataset presenting, for NUTS3 regions, the average travel time to the nearest hospital in 2020. The data has been developed by Eurostat to measure how easily basic services can be reached by the resident population, based on spatial analyses of the location of healthcare facilities, combined with the road network. (note this could have been across a national border).

The data is included in the European Climate and Health Observatory: https://climate-adapt.eea.europa.eu/observatory. The European Climate and Health Observatory platform provides easy access to a wide range of relevant publications, tools, websites and other resources related to climate change and human health.