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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.

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.

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.

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.

Mytilus edulis and Magallana gigas growth rates from a three-month mesocosm experiment, Sylt, 2023

This dataset contains individual-level growth rate measurements of the blue mussel Mytilus edulis and the Pacific oyster Magallana gigas, collected during a controlled mesocosm experiment in Sylt, Germany (coordinates are included in the dataset). Data were collected over a three-month period, from 29 March 2023 to 26 June 2023. Twelve mesocosms were used: six maintained at ambient temperature and six maintained at +3 °C above ambient. A randomized experimental design was used: six mesocosms contained only M. edulis, while the remaining six contained both species. Observations include shell length and daily shell-length growth rates, total wet weight (including shell) and daily growth rates based on weight. Each mussel was labeled and categorized by size class. Measurements were obtained using digital calipers (The Noble Finn, Model 150 mm) and laboratory balances (Type 00AC, Sartorius AG Göttingen, Germany), as well as handheld multiparameter instruments for water temperature. The dataset provides reproducible, traceable individual-level responses of M. edulis and M. gigas under controlled warming, supporting studies on physiological responses of coastal bivalves to temperature changes.

Mytilus edulis growth rates from a three-month mesocosm experiment, Sylt, 2022

This dataset contains individual-level measurements of the blue mussel Mytilus edulis collected during a controlled mesocosm experiment at Sylt, Germany. Data were collected over a three-month period from 2 April 2022 to 27 June 2022. The experiment comprised twelve mesocosms, with four maintained at ambient temperature, four maintained at +1.5°C above ambient, and four at +3 °C above ambient. Observations include shell length, shell-length growth rates, and multiple biomass fractions, including total wet weight, wet tissue mass weight, shell-free dry weight, and ash-free dry weight, from which weight-based growth rates were calculated. All measurements were obtained using standard, traceable laboratory and field instruments. The dataset documents individual-level growth responses of M. edulis under controlled warming conditions and provides a reproducible resource for studies on physiological responses of coastal bivalves to temperature changes.

GTS Bulletin: ISXD91 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISXD91 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISX): Other surface data A2 (D): 90°E - 0° northern hemisphere(The bulletin collects reports from stations: 10015;Helgoland;10020;List auf Sylt;10035;Schleswig;10055;Fehmarn;10147;Hamburg-Fuhlsbüttel;10162;Schwerin;10184;Greifswald;10200;Emden;10224;Bremen;10270;Neuruppin;10338;Hannover;10361;Magdeburg;10393;Lindenberg;10400;Düsseldorf;10469;Leipzig/Halle;10488;Dresden-Klotzsche;10506;Nürburg-Barweiler;10548;Meiningen;10637;Frankfurt/Main;10685;Hof;10738;Stuttgart-Echterdingen;10763;Nürnberg;10788;Straubing;10852;Augsburg;10946;Kempten;) (Remarks from Volume-C: SYNOP HALF HOURLY H+30)

Water and sediment analysis from column experiments

This data set contains data from water analyses from column experiments. The water analyses included cations (sodium, potassium, calcium, magnesium, iron and manganese), anions (nitrate, chloride, sulphate, bromide and phosphate) and selected trace elements (arsenic, cobalt, nickel, vanadium and zinc). The column experiments were conducted with two different types of unconsolidated sandy sediments from aquifers in Denmark (Quaternary) and Germany (Cretaceous). In both sediments, the nitrate degradation capacity was almost exhausted. To induce denitrification, 5 mmol ethanol was added to the column experiments. This also caused a decrease in the concentration of trace elements in the water. A sequential extraction procedure was performed to determine the trace element sinks. The data set therefore also contains contents of selected elements (equal to water analyses) from the sequential extraction procedure of the sediment before and after the column tests. The results observed in the laboratory were additionally modeled with Phreeqc. The Phreeqc input data complete the data set.

Mineralogy and cation exchange capacity obtained from Röttingen core

XRD patterns of whole rock material were recorded using a PANalytical X'Pert PRO MPD θ - θ diffractometer (Co-Kα radiation generated at 40 kV and 40 mA). The samples were investigated from 3° to 80° 2 θ with a step size of 0.03° 2 θ and a measuring time of 3 sec per step. Quantitative Rietveld refinements of the experimental XRD data were conducted using the software Profex/BGMN (Döbelin & Kleeberg, 2015; Bergmann et al., 1998). Determination of cation exchange capacity (CEC) was carried out using always two different samples masses (typically 400 and 600 mg) according to the method of Meier and Kahr (1999), based on a Cu(II)triethylentetramine complex ("Cu-trien method") and measurement using VIS spectroscopy. According to Dohrmann et al. (2012), the analytical error as determined for high-CEC bentonites is generally smaller than ±3.9 cmol(+)kg⁻¹.

Carbonate chemistry speciation of the 2023 KOSMOS Helgoland experiment on the effects of ocean alkalinity enhancement on pelagic foodwebs

This dataset contains carbonate chemistry speciation data of the 2023 KOSMOS mesocosm study on Helgoland, Germany. This study tested the effects of ocean alkalinity enhancement simulating lime additions on pelagic ecosystem functioning during a spring bloom. Carbonate chemistry speciation (fCO2, pHT, calcium carbonate saturation state) was generally calculated from measurements of total alkalinity (TA) and dissolved inorganic carbon (DIC) in depth-integrated water samples. There were 12 mesocosms in total and in 6 of them an alkalinity gradient of up to +1250 umol/kg was established in steps of 250 umol/kg. In the remaining 6 the same amount of alkalinity was added only to the upper portion of the mesocosms, resulting in twice the alkalinity increase there, before being mixed in after 48 hours. The two treatments simulated the immediate dilution of TA after ship deployment as well as a delayed one from a point source.

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