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).
Raw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB383 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB383 data from the motion reference unit exail Phins Gen.3, the Trimble SPS356 GPS receiver, the Furuno GP-170 and the Furuno GP-150 GPS receiver were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
The FCSN32 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FC): Aerodrome (VT < 12 hours) A1A2 (SN): Sweden (Remarks from Volume-C: NilReason)
This database is the first formal version of PAGES' C-PEAT Global Peatland Carbon Database (GD), which contains 267 independently cataloged peat cores and a large number of observations from those cores, including: peat depths, organic matter content values, dry bulk density values, organic density values, as well as carbon and nitrogen content values (Loisel et al. Submitted). This Editorial publication, along with the published scripts for data and metadata retrieval (Ransby et al. 2025), are designed to streamline data use and citation.
Aerosols are an indicator for episodic aerosol plumes from dust outbreaks, volcanic ash, and biomass burning. Daily observations are binned onto a regular latitude-longitude grid. The Aerosol layer height is provided in kilometres. The TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties. This product is created in the scope of the project INPULS. It develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.
The FXDL44 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FX): Miscellaneous A1A2 (DL): Germany (The bulletin collects reports from stations: EDDM;MUNICH INT ;) (Remarks from Volume-C: BALLONING BULLETIN (IN GERMAN))
The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational HCHO total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/
NCEI's global ocean sediment thickness grid of Divins (2003) updated by Whittaker et al. (2013) has been updated again for the NE Atlantic, Arctic, Southern Ocean, and Mediterranean regions. The new global 5‐arc‐minute total sediment thickness grid, GlobSed, incorporates new data and several regional oceanic sediment thickness maps, which have been compiled and published for the, (1) NE Atlantic (Funck et al., 2017; Hopper et al., 2014), (2) Mediterranean (Molinari & Morelli, 2011), (3) Arctic (Petrov et al., 2016), (4) Weddell Sea (Huang et al., 2014), and (5) the Ross Sea, Amundsen Sea, and Bellingshausen Sea sectors off West Antarctica (Lindeque et al., 2016; Wobbe et al., 2014). This version also includes updates in the White Sea region based on the VSEGEI map of Orlov and Fedorov (2001). GlobSed covers a larger area than NCEI's previous global grids (Divins, 2003; Whittaker et al. 2013), and the new updates results in a 29.7% increase in estimated total oceanic sediment volume. This dataset has been archived in the framework of the PANGAEA US data rescue initiative 2025.
Edaphobase is a GBIF-D project that collects information from literature, museum collections and research data about the distribution and ecology of soil organisms (earthworms, potworms, nematodes, springtails, proturans, diplurans, moss/beetle mites, gamasina mites, centipedes, millipedes, woodlice, soil fungi and soil prokaryotes). After March 2023, some data previously included in the overall Edaphobase-dataset have now been marked as their own specific datasets. If you are referencing the Edaphobase-dataset before this date, it will include all datasets uploaded to GBIF from the GBIF publisher 'Edaphobase'.
Im Rahmen des vorliegenden Projekts wird der Einfluss von dreidimensionalen Wirbeln auf die Verteilung von Plankton und Nährstoffen in der Ostsee untersucht. Da umfassende Algenblüten (Planktonblüten) wie unter anderem schädliche Cyanobakterienblüten nicht nur ein wiederkehrendes, sondern auch ein wachsendes Problem in der Ostsee sind, wird die Beantwortung der Frage, welche Faktoren diese Blüten beeinflussen, immer dringlicher. In diesem Kontext wurde im Baltic Sea action plan das Ziel eines guten ökologischen Zustands der Ostsee bis 2021 festgesetzt. Vor dem Hintergrund, dass eine Reduktion des Nährstoffeintrags in die Ostsee bisher nicht den gewünschten Effekt zeigte, rückt nun eine Analyse der Wechselwirkung von hydrodynamischen und biogeochemischen Prozessen in den Fokus. Im Rahmen dieses Projekts soll der Frage nachgegangen werden, ob und wie Wirbel das Planktonwachstum fördern oder unterdrücken. Diese Erkenntnisse sind nicht nur für das Verständnis des Systems Ostsee elementar, sondern dienen auch dem übergreifenden Verständnis von Wechselwirkungsmechanismen von Hydrodynamik und biogeochemischen Prozessen im Meer.Zu diesem Zweck sollen vier Unterfragen (SQ), die Mechanismen der Beeinflussung des Planktonwachstums durch Wirbel beschreiben, beantwortet werden:SQ1: Wie viele und welche Arten von dreidimensionalen Wirbeln gibt es in der westlichen und zentralen Ostsee? Die Antwort auf diese Frage liefert einen Überblick über das Forschungsgebiet Ostsee. Zur Ostsee wurden bisher keine umfassenden dreidimensionalen Wirbelstudien durchgeführt und es bestehen unzureichende Kenntnisse über die saisonale und regionale Verteilung von Wirbeln.SQ2: Welches Ausmaß an horizontalem Volumentransport verursachen dreidimensionale Wirbel? Die Beantwortung dieser Frage dient der Abschätzung der Transporteigenschaften von Wirbeln im Hinblick auf mögliche Nährstoff- und Planktontransportwege.SQ3: Welche vertikalen Transportprozesse gibt es innerhalb dreidimensionaler Wirbel? Die Beantwortung dieser Frage gibt Einblicke in den Einfluss des vertikalen Transports von z.B. wärmerem oder kälterem, salzigerem oder weniger salzigem Wasser innerhalb des Wirbels auf die Zu- oder Abnahme von Biomasse der unterschiedlichen Planktongruppen im Wirbel.SQ4: Welchen Einfluss haben dreidimensionale Wirbel auf biologische Prozesse? Die Untersuchung der Biomassenänderungen verschiedener Planktongruppen im Wirbel soll zu einem tieferen Verständnis der Nahrungsnetzdynamik im Wirbel führen.Die Studie basiert auf modellierten Geschwindigkeits-, Temperatur-, Salz-, Nährstoffkonzentrations- und Planktonkonzentrationsdaten aus dem GETM-ERGOM Modell für die westliche und zentrale Ostsee im Zeitraum 2006-2016 (www.getm.eu, www.ergom.net).
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