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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.

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.

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).

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 - Water Quantity

Waterbase is the generic name given to the EEA's databases on the status and quality of Europe's rivers, lakes, groundwater bodies and transitional, coastal and marine waters, on the quantity of Europe's water resources, and on the emissions to surface waters from point and diffuse sources of pollution.

[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’.

Schwerpunktprogramm (SPP) 527: Bereich Infrastruktur - International Ocean Discovery Program, Teilprojekt: Terrestrische Ökosystem- und Klimadynamik in SE-Afrika für den Zeitraum der Entwicklung, des Vorkommens und des Aussterbens archaischer Hominiden (4-2 Ma) basierend auf Kernmaterial von IODP-Expedition 361

Das beantragte Projekt hat zum Ziel, die terrestrische Ökosystem- und Klimadynamik - und damit die naturräumlichen Rahmenbedingungen für die Evolution früher Hominiden - in SE-Afrika während des 'mittleren' Pliozäns und frühen Pleistozäns zu rekonstruieren. Um dieses Ziel zu erreichen, soll an Hand von Kernmaterial von IODP Expedition 361 ('Southern African Climates') eine Land/Meer-Korrelation vor SE-Afrika erarbeitet werden; diese wird die erste kontinuierliche Rekonstruktion der terrestrischen Ökosystem- und Klimaänderungen in SE-Afrika während des 'mittleren' Pliozäns bis frühen Pleistozäns liefern. Methodisch basiert das Projekt auf einem integrierten Ansatz, der palynologische (Pollen und Sporen) und elementgeochemische (XRF-Scanning) Analysen vereint und auf den Splice von IODP-Site U1478 (Straße von Mosambik) angewendet werden soll. Eine präzise Alterskontrolle wird durch die hochauflösende Benthos-Sauerstoffisotopenstratigraphie ermöglicht, die aktuell für Site U1478 erarbeitet wird. Site U1478 ist für die hier vorgeschlagenen Untersuchungen aus einer Reihe von Gründen ideal geeignet: (i) er stellt ein stratigraphisch außergewöhnlich vollständiges Archiv dar und verfügt dabei über hohe Sedimentationsraten; (ii) seine proximale Lage in Bezug auf das Limpopo-Delta gewährleistet einen hohen Anteil terrigenen Inputs im Kernmaterial; (iii) die Ursprungsregion dieser terrigenen Komponenten lässt sich hervorragend eingrenzen; (iv) er ist gegenüber terrestrischen Klimaänderungen hoch empfindlich, wie frühere Studien an nahe gelegenen Kurzkernen belegen; (v) die für das vorgeschlagene Projekt durchgeführten Pilotstudien an Kernfänger-Material belegen, dass seine Sedimente in Bezug auf Pollen und Sporen extrem produktiv sind; er liegt in einer proximal Position hinsichtlich der paläoanthropologischen 'Cradle of Humankind'-Fundstätten in Südafrika. Unter Berücksichtigung des gegenwärtigen Forschungsstandes zur Evolution archaischer Hominiden (insbesondere Australopithecus africanus) fokussiert das Projekt auf den Zeitraum zwischen 4 und 2 Ma; kritische Intervalle der Evolution archaischer Hominiden sollen in besonders hoher zeitlicher Auflösung analysiert werden. Die Integration der palynologischen und elementgeochemischen Proxy-Daten wird detaillierte Aussagen zum Charakter und Zeitpunkt wie auch zur Stärke und Geschwindigkeit der Ökosystem- und Klimavariabilität im Einzugsgebiet des Limpopo River und damit in der 'Cradle of Humankind'-Region erlauben. Dadurch wird nicht nur die Klärung der Frage möglich, inwiefern Intervalle mit besonders ausgeprägtem Umweltwandel tatsächlich mit Schritten in der Hominiden-Evolution einhergehen, sondern es lassen sich auch die einzelnen Komponenten dieses Umweltwandels identifizieren. Diese Informationen können neues Licht auf die aktuelle Diskussion um potenzielle kausale Zusammenhänge zwischen Umwelt-'Forcing' und menschlicher Evolution werfen.

LegacyPollen2.0: Overview of taxonomically harmonized pollen records

This data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset. Compared to the LegacyPollen 1.0 dataset, we now include the Neotoma DOI (if Neotoma source) in the overview table of site metadata to eliminate the broken chain of static LegacyPollen 2.0 dataset with living (such as updating discovered metadata errors and chronologies) Neotoma and associated risk of data staleness. Furthermore, we also added the PANGAEA Event (PANGAEA dataset identifier) for each new record to ensure that our dataset meets PANGAEA's high standards for quality, usability, and compliance.

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.

INSPIRE SN Geologie GK100 LJK

Der Datensatz beinhaltet Informationen zur Geologie im Freistaat Sachsen. Der Datensatz des Kartenwerkes bildet den Komplex der Lausitzer Antiklinalzone und des Jizera-Karkonosze-Blockes ohne känozoische Sedimente im Maßstab 1 : 100.000 ab. Bei dem bereitgestellten Datensatz handelt es sich um einen Ausschnitt aus der Gesamtkarte. Die INSPIRE-konforme Umsetzung der weiteren Kartenbereiche ist derzeit in Arbeit. Lückenhafte Angaben zu Stratigraphie und/oder Petrographie einzelner Flächen werden schrittweise vervollständigt. Eine einheitlich graue Signatur markiert die unvollständig attributierten Features. Der Datensatz ist nutzbar in einem Maßstab kleiner als 1 : 50.000. Das Kartenwerk ist eines von 7 geologischen Kartenwerken, welches für das Gebiet des Freistaates Sachsen in jeweils eigenen Kartendiensten INSPIRE-konform bereitgestellt wird.

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