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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.

EU27_2020 basemap for EEA internal use

This Discomap web map service provides an EU-27 (2020) basemap for internal EEA use as a background layer in viewers or any other web application. It is provided as REST and as OGC WMS services, dynamic and cached. The cached service has a custom cache at the following scales: 1/50.000.000 1/42.000.000 1/36.000.000 (Europe's size) 1/30.000.000 1/20.000.000 1/10.000.000 1/5.000.000 1/2.500.000 1/1.000.000.

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).

Quantitative Untersuchungen zur heterotrophen Umsetzung organischer Substrate und der daran beteiligten Bakterienpopulationen und ueber den Einfluss von Abwaessern auf das Plankton in der westlichen Ostsee

Auf- und Abbauprozesse im marinen Oekosystem der westlichen Ostsee unter dem Einfluss von Abwaessern werden untersucht. Die Wechselwirkungen zwischen Blaualgen und heterotrophen Bakterien werden dabei von besonderem Interesse sein. Das Studium dieser Prozesse erfolgt in der westlichen Ostsee und in Fjorden der schwedischen Ostseekueste. An Methoden kommen die Mikroautoradiographic, die Tritium-Tracer Technik sowie die C14-H3-Doppelmarkierung zur Anwendung.

Wahrnehmung und Bewertung von Geraeuschen (Laerm) in unterschiedlichen Kulturbereichen

Im Besonderen geht es dabei um die Wahrnehmung, Verarbeitung und Wirkung von Schallereignissen sowie ihren Bewertungs- und Beurteilungsmethoden bis hin zur Analyse der Bedeutung von Begriffen wie 'Belaestigung'. Wir analysieren Gehoererscheinungen, wie beispielsweise Laerm, in kulturvergleichenden Studien oder auch das Thema 'Klangfarben von Maschinen'. Dazu gehoeren auch die seit 20 Jahren stattfindenden Oldenburger Symposien zur Psychologischen Akustik. Die Arbeitsgruppe legt besonderen Wert auf die interdisziplinaere Kooperation mit der Physik, Informatik und Medizin. Es bestehen vielerlei Verbindungen zu auswaertigen Forschergruppen, insbesondere in Japan.

End biodiversity loss through improved tracking of threatened invertebrates

In today's biodiversity crisis, there is an urgent need to monitor terrestrial and aquatic species in their natural habitats, especially those that may be endangered, invasive or elusive. Traditional species observation methods, based on acoustic or observational surveys are inefficient, costly and time consuming. On the other hand, DNA is continuously deposited in the environment from natural processes and this environmental DNA (eDNA) allows us to detect species and reconstruct their communities with a high level of sensitivity. These data can be used to obtain occurrence records and to collect more population information in field. Crucially, these data are necessary to inform management agencies about the current state of our biodiversity, and are especially urgent for species that are currently data deficient. The aims of this study are to firstly identify occurrence records from diverse sources (databases, literature) and generate a database of distributional data for species of crustacean and mollusks that are data deficient in Sweden. Secondly, we aim to detect threatened species in Swedish marine, freshwater and terrestrial habitats using novel genomic methods (DNA metabarcoding, ddPCR). Finally, based on the new data, we will run species distribution and population models, to improve information on geographic range and population status for threatened invertebrates. The results will be integrated into current monitoring programmes (e.g. red-listing) and action plans.

Trophic interactions in the soil of rice-rice and rice-maize cropping systems

Subproject 3 will investigate the effect of shifting from continuously flooded rice cropping to crop rotation (including non-flooded systems) and diversified crops on the soil fauna communities and associated ecosystem functions. In both flooded and non-flooded systems, functional groups with a major impact on soil functions will be identified and their response to changing management regimes as well as their re-colonization capability after crop rotation will be quantified. Soil functions corresponding to specific functional groups, i.e. biogenic structural damage of the puddle layer, water loss and nutrient leaching, will be determined by correlating soil fauna data with soil service data of SP4, SP5 and SP7 and with data collected within this subproject (SP3). In addition to the field data acquired directly at the IRRI, microcosm experiments covering the broader range of environmental conditions expected under future climate conditions will be set up to determine the compositional and functional robustness of major components of the local soil fauna. Food webs will be modeled based on the soil animal data available to gain a thorough understanding of i) the factors shaping biological communities in rice cropping systems, and ii) C- and N-flow mediated by soil communities in rice fields. Advanced statistical modeling for quantification of species - environment relationships integrating all data subsets will specify the impact of crop diversification in rice agro-ecosystems on soil biota and on the related ecosystem services.

Verteilungsprozesse der Elemente Mn, Pb, Zn, Cd, Co, Ni, Ba, Mo, und Tl bei der Verwitterung der metamorphen Manganlagerstaette Ultevis/Schwedisch-Lappland

Sedimentaere oxidische Manganlagerstaetten koennen hohe Konzentrationen der umweltfeindlichen Elemente Pb, Zn, Cd, Ba, Tl und Mo enthalten, deren Bindung aufgrund der elektrostatischen Eigenschaften der Mangan-Oxidhydrate durch Adsorption erfolgt. Waehrend der Diagenese-Metamorphose werden diese Elemente auf die nun im Gleichgewicht befindlichen oxidischen, silikatischen und im Falle der Lagerstaette Ultevis auch karbonatischen Phasen umverteilt. Diese Phasen sind unterschiedlich verwitterungsanfaellig und fuehren daher in unterschiedlicher Weise die umweltrelevanten Spurenstoffe in den Verwitterungszyklus zurueck.

Model Output Statistics for JONKOPING/AXAMO (02550)

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 ]

Model Output Statistics for MASESKAR (02505)

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 ]

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