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Floods Reference Spatial Datasets reported under Floods Directive - version 3.0, Mar. 2025

The Floods Directive (FD) was adopted in 2007 (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060). The purpose of the FD is to establish a framework for the assessment and management of flood risks, aiming at the reduction of the adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods in the European Union. ‘Flood’ means the temporary covering by water of land not normally covered by water. This shall include floods from rivers, mountain torrents, Mediterranean ephemeral water courses, and floods from the sea in coastal areas, and may exclude floods from sewerage systems. This reference spatial dataset, reported under the Floods Directive, includes the areas of potential significant flood risk (APSFR), as they were lastly reported by the Member States to the European Commission, and the Units of Management (UoM).

European Union Emissions Trading System (EU ETS) data from the Union Registry

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 European Commission’s Union Registry website (previously EU Transaction Log, EUTL). Additional information on auctioning and scope corrections is included.

Bathing Water Directive - Status of bathing water

The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September

Waterbase - UWWTD: Urban Waste Water Treatment Directive – reported data

The Urban Waste Water Treatment Directive concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. The objective of the Directive is to protect the environment from the adverse effects of the above mentioned waste water discharges. This series contains time series of spatial and tabular data covering Agglomerations, Discharge Points, and Treatment Plants.

[EU SDG 06_60] Water exploitation index, plus (WEI+)

The WEI+ provides a measure of total water consumption as a percentage of the renewable freshwater resources available for a given territory and period. The WEI+ is an advanced geo-referenced version of the WEI. It quantifies how much water is abstracted monthly or seasonally and how much water is returned before or after use to the environment via river basins (e.g. leakages, discharges by economic sectors). The difference between water abstractions and water returns is regarded as ‘water consumption’.

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/

CORINE Land Cover Change 1990-2000 (vector), Europe, 6-yearly - version 2020_20u1, May 2020

Corine Land Cover Change 1990-2000 (CHA9000) is one of the Corine Land Cover (CLC) datasets produced within the frame the Copernicus Land Monitoring Service referring to changes in land cover / land use status between the years 1990 and 2000. CHA is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. CLC service has a long-time heritage (formerly known as "CORINE Land Cover Programme"), coordinated by the European Environment Agency (EEA). It provides consistent and thematically detailed information on land cover and land cover changes across Europe. CLC datasets are based on the classification of satellite images produced by the national teams of the participating countries - the EEA members and cooperating countries (EEA39). National CLC inventories are then further integrated into a seamless land cover map of Europe. The resulting European database relies on standard methodology and nomenclature with following base parameters: 44 classes in the hierarchical 3-level CLC nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres. Change layers have higher resolution, i.e. minimum mapping unit (MMU) is 5 hectares for Land Cover Changes (CHA), and the minimum width of linear elements is 100 metres. The CLC service delivers important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as e.g. protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, monitoring urban land take, assessing developments in agriculture or dealing with water resources directives. part of the European Copernicus Programme coordinated by the European Environment Agency, providing environmental information from a combination of air- and space-based observation systems and in-situ monitoring.

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.

Urban Waste Water Treatment Directive, Waterbase reported under UWWTD data call 2008 (Tabular data)

Urban Waste Water treatment Directive concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. The objective of the Directive is to protect the environment from the adverse effects of the above mentioned waste water discharges. The database contains data selected from the reporting of Member States as part of the UWWTD implementation. The database is divided into tables on: reported period, receiving areas, agglomerations, waste water treatment plants (WWTP), links agglomerations – WWTPs, discharge points, and (at Member State level) sludge handling and treated waste water re-use.

Entwicklung eines auf Blütendüften des Steirischen Ölkürbis basierenden Bekämpfungssystems gegen den Westlichen Maiswurzelbohrer

Zielsetzung: Der Westliche Maiswurzelbohrer (WMB), Diabrotica virgifera vergifera (Coleoptera: Chrysomelidae) stammt ursprünglich aus Zentralamerika. Er wurde Ende des 20. Jahrhunderts nach Europa verschleppt, wo er erstmals 1992 in der Nähe von Belgrad, Serbien, beobachtet wurde. Nach einer massiven Ausbreitung kommt er inzwischen von Griechenland bis Polen und von Italien bis zur Ukraine vor. Der WMB ist einer der gefährlichsten Schädlinge für die Maisproduktion auf der nördlichen Hemisphäre. Bis zu 500 Eier legen die weiblichen Käfer über den Sommer verteilt in den Maisfeldern ab. Die im darauf folgenden Frühjahr schlüpfenden Larven bohren sich in das Wurzelgewebe der Maispflanzen ein. Durch den Fraß an den Wurzeln werden die Wasser- und Nährstoffaufnahme reduziert, die Standfestigkeit der Pflanzen herabgesetzt und Infektionen durch Pilze begünstigt. Die Lagerung der Pflanzen kann zu Problemen bei der mechanischen Ernte führen. Ende Mai bis Ende Juni schlüpfen die Käfer und fressen an Pollen, milchreifen Körnern und frischen Blättern, aber auch an den Narbenfäden der jungen Kolben. Wenn die Maisblüte mit der Hauptflugzeit der Käfer zusammenfällt, kann es durch Fraß der Käfer an den Narbenfäden zur Unterbindung der Fruchtbildung kommen. Umfangreiche Ernteausfälle sind die Folge. In Österreich verursacht der Maiswurzelbohrer seit 2002 Schäden mit einem Ertragsverlust von 10-30%. Daher ist es wichtig, effiziente Möglichkeiten zu finden, um Maisfelder vor diesem Schädling mit einer Methode zu schützen, die umweltfreundlich, kostengünstig und einfach zu handhaben ist. Während es in Österreich bereits Projekte gibt, die darauf abzielen, die Larven des WMB zu reduzieren, ist das Ziel unseres Projektes die Bekämpfung adulter Käfer. Die Bekämpfung der Käfer soll einerseits der Reduktion der abgelegten Eier in einem Gebiet dienen, andererseits sollen die befürchteten Befruchtungsschäden an den Maiskolben verhindert werden. Aus der Literatur (Ulrichs et al. 2008) und eigenen Beobachtungen wissen wir, dass adulte männliche und weibliche WMB von Blüten des steirischen Ölkürbis stark angelockt werden, um sowohl Pollen (männliche Blüten) als auch Blütenblätter (beide Geschlechter) zu fressen. Der WMB nutzt olfaktorische Signale, um Kürbisblüten zu lokalisieren. Diese Vorliebe für Düfte von Kürbisblüten wollen wir ausnutzen und ein hochwirksames integratives Schädlingsbekämpfungssystem in Österreich für adulte männliche und weibliche WMB auf Basis von Blütendüften des Ölkürbis entwickeln. Die zur Erreichung unserer Ziele erforderliche Methodik basiert auf einer soliden, multidisziplinären Basis. Es kombiniert Methoden, die sowohl im Labor (Physiologie, chemische Analytik, Verhaltensstudien) als auch im Feld (z.B. Anlockexperimente) angewendet werden, um diejenigen Blütendüfte des Ölkürbis zu entschlüsseln, welche den WMB anlocken. Basierend auf diesen Düften werden wir eine umweltfreundliche Bekämpfungsmethode entwickeln. (Text gekürzt)

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