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Waterbase - Biology, 2024

Waterbase serves as the EEA’s central database for managing and disseminating data regarding the status and quality of Europe's rivers, lakes, groundwater bodies, transitional, coastal, and marine waters. It also includes information on the quantity of Europe’s water resources and the emissions from point and diffuse sources of pollution into surface waters. Specifically, Waterbase - Biology focuses on biology data from rivers, lakes, transitional and coastal waters collected annually through the Water Information System for Europe (WISE) – State of Environment (SoE) reporting framework. The data are expected to be collected within monitoring programs defined under the Water Framework Directive (WFD) and used in the classification of the ecological status or potential of rivers, lakes, transitional and coastal water bodies. These datasets provide harmonised, quality-assured biological monitoring data reported by EEA member and cooperating countries, as Ecological Quality Ratios (EQRs) from all surface water categories (rivers, lakes, transitional and coastal waters).

WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.7, Jul. 2024

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.

WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.9, Sep. 2025

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.

Air Quality Health Risk Assessments (NUTS3 and countries)

This data set presents health risk calculation of exposure to three main pollutants (PM2.5, NO2 and O3) and information on PM10 concentrations at NUTS3, country and city levels. In addition, average and population weighted average concentration values are available in the data set for PM10, PM2.5, NO2 and O3 (SOMO35). The calculations are made for years 2005 to 2020. The concentrations data are taken from the ETC/ATNI interpolated maps (ETC/ATNI Eionet Reports 1/2020/ and 1/2021 and references therein). The methodology is as described in ETC/ATNI Eionet Report 10/2021, aggregating at country level.

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.

Digitalisierung als Chance für Frauen in MINT (digiMINT): Schule – Studium – Beruf. Eine Mixed-Method-Studie. Transkripte der Interviews

DE: Das vom BMFTR (ehem. BMBF) geförderte Projekt digiMINT generierte wissenschaftliche Erkenntnisse zur Repräsentanz von Frauen in den Feldern Mathematik, Informatik, Naturwissenschaft und Technik (MINT), speziell im Maschinen- und Anlagenbau. Mittels eines Methoden-Mix aus qualitativen Interviews und quantiativen Online-Survey wurde ein umfassendes und multiperspektivisches Bild der Rahmenbedingungen von MINT-Studien- und Arbeitsbereichen gewonnen, welche die Gewinnung, Vernetzung und Eigeninitiative von MINT-Frauen ermöglichen oder behindern. Dazu sind 48 biographisch-narrativ strukturierte Interviews mit Schülerinnen (ab 17 Jahre) und MINT-Studentinnen sowie berufstätigen Ingenieurinnen (sog. Young Professionals, ≤ 5 Jahre im Beruf) im Maschinen- und Anlagenbau in Deutschland sowie 9 Expert_inneninterviews mit Unternehmensvertreter_innen von deutschen Unternehmen des Maschinen- und Anlagenbaus geführt worden. Ein quantitatives Online-Survey mit berufstätigen Frauen aus dem Maschinen- und Anlagenbau in Deutschland (Young Professionals, ≤ 5 Jahre im Beruf) ergänzt diesen Datensatz. EN: The digiMINT project, funded by the BMFTR (formerly BMBF), generated scientific findings on the representation of women in the fields of natural science, technology, engineering and mathematics (STEM), especially in mechanical and plant engineering. Using a mix of methods, including qualitative interviews and quantitative online surveys, a comprehensive and multi-perspective picture was obtained of the framework conditions in STEM study and work areas that enable or hinder the recruitment, networking and initiative of women in STEM. To this end, 48 biographical-narrative structured interviews were conducted with schoolgirls (aged 17 and above) and STEM students, as well as working female engineers (so-called young professionals, ≤ 5 years in the profession) in mechanical and plant engineering in Germany, and 9 expert interviews were conducted with representatives of German mechanical and plant engineering companies. A quantitative online survey of working women in mechanical and plant engineering in Germany (young professionals, ≤ 5 years in the profession) supplements this data set.

Mercury and explosive compound 4-aminodinitrotoluene (4-ADNT) in dab (Limanda limanda) caught at munition dumping site Kolberger Heide in the Kiel Bight, Baltic Sea

Dumped munitions contain various harmful substances which can affect marine biota like fish. One of them is mercury (Hg), included in the common explosive primer. Another is 4-aminodinitrotoluene (4-ADNT), an explosive-metabolite. 251 individual dab (Limanda limanda L.) caught at the dump site Kolberger Heide a and nearby reference sites in 2017 and 2018 were analysed. The table contain individual data on Hg, 4-aminodinitrotoluene, age, length, weight, sex and condition factor.

Meteorological data of Time Series Station Spiekeroog for 2019

The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, air temperature, air pressure, relative humidity, wind speed and wind direction were measured in the year 2019. All raw data were revised and corrected for steps as range, outliers and stationarity checks. A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).

Aggregated non-target screening results from surface water monitoring programs in Germany

This dataset contains processed and annotated non-target screening (NTS) feature lists from German surface water samples, analyzed by the Federal Institute of Hydrology. Sampling for water and suspended particulate matter (SPM) follows methods described in [1] and [2], with analytical methods detailed in [3]. Raw measurement files were processed via a library screening workflow using the Collective Spectral Library (CSL) [4] and the "ntsportal" backend [5]. While the dataset includes 101 surface water sites and 16 SPM sites across Germany, most are not sampled continuously. However, these data will be updated through retrospective library screening as new CSL versions are released. Please note that raw measurement files are not included. The dataset comprises three main components: (1) daily 24 h composite samples from the Koblenz/Rhine station (2017–present); (2) daily and monthly SPM composites from 13 Environmental Specimen Bank sites [6] (2005–present); and (3) grab samples from rivers and streams in Saxony (2021–2023). New samples and retrospective screening results will be incorporated into future dataset versions.

ANT 2015/16: AWI airborne Radio-Echo Sounding data western DML over the Maud Belt and Ekström Ice Shelf (GEA-V-FMA project)

This dataset contains airborne radar data acquired using the AWI EMR system (Nixdorf et al., 1999) during the Arctic season of 2015. The profiles extend western DML over the Maud Belt and Ekström Ice Shelf to investigate the geodynamic evolution of East Antarctica, the Forster magnetic anomaly (GEA-V-FMA). The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.

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