The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b55632c-63df-4542-97f0-363dfb6d3431 for external use. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting. Note: * This dataset has been reported by the member states. The subsequent QC revealed some problems caused by self-intersections elements. Data in GPKG-format should be processed using QGIS.
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.
The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0731ebf-6bcc-4afe-bab0-39e7aa88eaba for external use. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting.
The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 3rd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please enter the publicly available version to access data: https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/effd82dc-31cb-4bb6-8d8b-572322c124a2 The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022). See http://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 spatial reporting. Note: * This dataset has been reported by the member states. The subsequent QC revealed some problems caused by self-intersections elements. Data in GPKG-format should be processed using QGIS.
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 ]
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/
MeDORA zielt entsprechend der Vorrangigen Forschungsrichtungen von Mission Innovation auf die beschleunigte Umsetzung umweltfreundlicher Prozesse zur CO2-Abscheidung ab und setzt die im 7. Energieforschungsprogramm 'Innovationen für die Energiewende' des Bundes in Abschnitt 3.15 'Technologien für die CO2-Kreislaufwirtschaft' genannte Zielsetzung der Weiterentwicklung von Komponenten und Werkstoffen für die CO2-Abtrennung konsequent um. In MeDORA soll mittels eines innovativen Membranverfahrens der in Amin-Waschmitteln von CO2-Abtrennungsanlagen gelöste Sauerstoff entfernt werden, um die oxidative Waschmittelzersetzung um 50% zu reduzieren und darüber hinaus den O2-Gehalt im abgetrennten CO2 auf kleiner als 10 ppmv zu begrenzen. Die angestrebte Erhöhung der Waschmittellebensdauer lässt eine Senkung der Betriebskosten für das Waschmittelmanagement um bis zu 70 % erwarten und kann damit die Umweltauswirkungen einer Abscheidungsanlage durch geringe Abfallmengen beim Waschmittelmanagement (Reclaiming) und reduzierte Emissionen (insbesondere des flüchtigen Zersetzungsprodukts NH3) deutlich senken. Die höhere Reinheit des CO2-Produkts erlaubt es die strengen Spezifikationen geologischer Speicherprojekte (z.B. Northern Lights in Norwegen) ohne aufwändige Nachbehandlung zu erfüllen und senkt entsprechend auch die Kosten für CCU-Anwendungen, bei denen O2-Spuren Katalysatoren schädigen. MeDORA, mit 6 Partnern aus 3 europäischen Ländern, wird von einem starken industriebasierten Konsortium geleitet, das die gesamte Wertschöpfungskette abdeckt. Die Langzeittests von MeDORA (TRL 7-8) in Niederaußem, hier erstmalig auch mit innovativen asymmetrischen Membranen, und bei HVC in den Niederlanden stellen die industrielle Anwendbarkeit sicher und werden begleitet von technisch-wirtschaftlichen Analysen, LCA, Vergleich mit anderen Techniken zur O2-Reduzierung im Waschmittel und im Produkt-CO2, werkstoffwissenschaftlichen Untersuchungen sowie der Entwicklung eines Verwertungsplanes.
Terrestrial green algae and cyanobacteria are typical and abundant components of biological soil crusts in the Polar Regions. These communities form water-stable aggregates that have important ecological roles in primary production, nitrogen fixation, nutrient cycling, water retention and stabilization of soils. Although available data on green algae and cyanobacteria are generally very limited for the Arctic and Antarctica, their functional importance as ecosystem developers in nutrient poor environments is regarded as high. Therefore, the main goal of the interdisciplinary project is, for the first time, a precise evaluation of their 1.) Biodiversity as well as of 2.) The infra-specific genetic diversity, 3.) ecophysiological performance and 4.) transcriptomics of the most abundant taxa in biological soil crusts isolated from the Antarctic Peninsula and Arctic Svalbard. Biodiversity will be investigated using a classical culture approach in combination with molecular-taxonomical methods as well as with metagenomics. The infra-specific genetic diversity of the most abundant green algae and cyanobacteria will be studied using fingerprinting techniques, and a range of selected populations characterized in relation to their physiological plasticity. Temperature and water availability, two key environmental factors for terrestrial organisms, are currently changing in Polar Regions due to global warming, and hence their effect on growth and photosynthesis response patterns will be comparatively investigated. The data will indicate whether and how global change influence population structure and ecological performance of key organisms in polar soil crusts, and help to make predictions on the future significance of the ecological functions of these pioneer communities. Such a multiphasic approach has never been applied before to soil algae and cyanobacteria in both Polar Regions, and hence represents one of the key innovations of this proposal.
This is the metadata for the EU Emission Trading System (EU ETS). EU ETS aims to reduce greenhouse gas emissions cost-effectively by setting a cap on the total amount of emissions from covered sectors. These sectors include power and heat generation, energy-intensive industries aviation and shipping within the European Economic Area. Under the system, companies receive or purchase emission allowances, each permitting the release of one tonne of CO₂ or equivalent gases. Businesses can trade these allowances, creating a financial incentive to reduce emissions. If a company emits less than its allowance, it can sell the surplus; if it exceeds the cap, it must buy more or face penalties. The cap is reduced annually, ensuring a steady decline in emissions over time. The system has gone through several phases, with the current Phase 4 running from 2021 to 2030. It also supports innovation and investment in low-carbon technologies through dedicated funds. Overall, the EU ETS plays a key role in helping the EU reach its climate neutrality goal by 2050. Data about the EU emission trading system (ETS). The EU ETS data viewer provides aggregated data on emissions and allowances, by country, sector and year. The data mainly comes from the Union Registry. Additional information on auctioning and scope corrections is included.
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