Estuaries and coasts are characterized by ecological dynamics that bridge the boundary between habitats, such as fresh and marine water bodies or the open sea and the land. Because of this, these ecosystems harbor ecosystem functions that shaped human history. At the same time, they display distinct dynamics on large and small temporal and spatial scales, impeding their study. Within the framework of the OTC-Genomics project, we compiled a data set describing the community composition as well as abiotic state of an estuary and the coastal region close to it with unprecedented spatio-temporal resolution. We sampled fifteen locations in a weekly to twice weekly rhythm for a year across the Warnow river estuary and the Baltic Sea coast. From those samples, we measured temperature, salinity, and the concentrations of Chlorophyll a, phosphate, nitrate, and nitrite (physico-chemical data); we sequenced the 16S and 18S rRNA gene to explore taxonomic community composition (sequencing data and bioinformatic processing workflow); we quantified cell abundances via flow cytometry (flow cytometry data); and we measured organic trace substances in the water (organic pollutants data). Processed data products are further available on figshare.
Schichtdicken des operationellen Zirkulationsmodells des Bundesamtes für Seeschifffahrt und Hydrographie (BSH) in der Nord- und Ostsee (horizontale Auflösung ca. 5 km). Das Modell (HBM, HIROMB-BOOS-Modell) läuft viermal am Tag in einer Konfiguration mit einem feineren Gitter in der Deutschen Bucht und westlichen Ostsee (900 m Auflösung, separater Datensatz) und einem gröberen Gitter, das die gesamte Nord- und Ostsee abdeckt (5 km Auflösung, dieser Datensatz). Das Modell wird von aktuellen Wettervorhersagen des Deutschen Wetterdienstes (DWD) angetrieben. Genauere Informationen über die Modellkonfiguration sind in Brüning et al. (2021); https://doi.org/10.23784/HN118-01; zu finden.
Die Küstenlinie der deutschen Ostseeküste, erstellt vom Landesamt für Umwelt (LfU) von Schleswig Holstein. Grundlage dafür waren MSRL- und WRRL-Shapefiles der Küsten- Übergangsgewässer. Der Dienst stellt Shapefiles der Küstenlinien für die Nordsee (ANS-DE) und die Ostsee (BAL-DE) aus den abgestimmten und an die EU gemeldeten Berichtsgeometrien für die gesamte deutsche Küste bereit. Hierfür wurden Shapes der MSRL und der WRRL (Küsten- und Übergangsgewässer) genutzt. Die Daten wurden im Dezember 2017 (Ostsee) / bzw. im Januar 2018 (Nordsee) erstellt.
This dataset presents total organic carbon (TOC, wt%) contents in sediments at 19 stations in the Kiel Bight taken during the research cruises BE03/2016 (08.03.2016), BE10/2016 (19.10.2016), BE10/2018 (23.10.2018), BE03/2019 (15.03.2019), L23-13 (13.09.2023 - 15.09.2023), Sagitta24-1 (16.09.2024), Sagitta24-2 (23.09.2024), L25-2b (09.02.2025 - 17.02.2025) and EMB374 (04.09.2025 - 13.09.2025). Sediment cores (<50cm) were recovered using a Multicorer (MUC), Minicorer (MIC) or Rumohrlot (RL). The TOC analysis was performed using an Element Analyzer (Euro EA 3000). The data are used in combination with porewater and water column data to describe the sulfur geochemistry and cycling across different sites in the Kiel Bight and to identify the controlling factors governing the accumulation of hydrogen sulfide at the seafloor.
This dataset presents porewater and bottom water data from 63 stations in the Kiel Bight taken during the research cruises BE03/2016 (08.03.2016), BE10/2016 (19.10.2016), BE10/2018 (23.10.2018), BE03/2019 (15.03.2019), L23-13 (13.09.2023 - 15.09.2023), Sagitta24-1 (16.09.2024), Sagitta24-2 (23.09.2024), L25-2b (09.02.2025 - 17.02.2025) and EMB374 (04.09.2025 - 13.09.2025). Short sediment cores (<50cm) were recovered using a Multicorer (MUC), Minicorer (MIC) or Rumohrlot (RL). At 22 of those stations, bottom water and porewater samples were analysed for total alkalinity (TA), ammonium (NH4+), sulfate (SO42-), hydrogen sulfide (H2S), dissolved iron (Fe2+) and dissolved manganese (Mn2+). At 41 stations, exclusively a bottom water sample was taken for H2S measurements. Bottom waters were sampled from the supernatant water in the sediment cores. Porewater samples were extracted from the sediments using rhizones. TA was determined by titration (METROHM 876 Dosimat Plus), NH4+ and H2S using a photometer (Hitachi U-2900), SO42- by Ion Chromatography (METROHM 761 Compact) and Fe2+ and Mn2+ by Inductively Coupled Plasma Optical Emission Spectroscopy (Varian 720-ES). The collected data will be used to determine the spatial and temporal variability of hydrogen sulfide in bottom waters of the Kiel Bight, (ii) identify the controlling factors governing the accumulation of hydrogen sulfide at the seafloor, and (iii) establish an early warning system of sulfidic seafloor conditions for regional stakeholders in the Baltic Sea.
Sammlung statistischer Stroemungsdaten in der westlichen Ostsee fuer Umweltfragen (Schadstoffausbreitung u.ae.)
During the research cruises BE03/2016 (08.03.2016), BE10/2016 (19.10.2016), BE10/2018 (23.10.2018), BE03/2019 (15.03.2019), L23-13 (13.09.2023 - 15.09.2023), Sagitta24-1 (16.09.2024), Sagitta24-2 (23.09.2024), Hai24VE2 (24.09.2024), L25-2b (09.02.2025 - 17.02.2025) and EMB374 (04.09.2025 - 13.09.2025), CTDs were deployed and sediment corers were retrieved at 99 stations in Kiel Bight in the southwestern Baltic Sea. Water column oxygen concentrations were determined using oxygen sensors attached to the CTD framework. At selected water depths, water samples were collected with Niskin bottles for the analysis of nitrate concentrations using an autoanalyzer. Short sediment cores (<50cm) were recovered using a Multicorer (MUC), Minicorer (MIC) or Rumohrlot (RL). Bottom waters were sampled from the supernatant water in the sediment cores. Solid phase sediment samples were analyzed for total organic carbon using an element analyzer. Porewater was extracted from the sediment cores using rhizones and analyzed for total alkalinity (titration), ammonium (photometer), sulfate (ion chromatography), hydrogen sulfide (photometer), dissolved iron (ICP-OES) and dissolved manganese (ICP-OES). The collected data will be used to (i) determine the spatial and temporal variability of hydrogen sulfide in bottom waters of the Kiel Bight, (ii) identify the controlling factors governing the accumulation of hydrogen sulfide at the seafloor, and (iii) establish an early warning system of sulfidic seafloor conditions for regional stakeholders in the Baltic Sea.
Conductivity-temperature-depth profiles were measured using a CTD. The CTD was equipped with duplicate sensors for temperature, conductivity and oxygen. All sensors are calibrated irregularly.
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