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Photosynthetic efficiency and symbiont cover of Amphistegina lobifera measured by PAM fluorometry and CLSM during a menthol-DCMU bleaching experiment (Nov–Dec 2022, Bremen, Germany)

This dataset contains experimental data from a one-month aquarium-based bleaching experiment conducted on Large Benthic Foraminifera (Amphistegina lobifera) from 16 November to 16 December 2022 at the Marine Experimental Facility of the Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany. The aim of the experiment was to obtain symbiont-free A. lobifera individuals for future re-inoculation studies and symbiont switching experiments. The foraminifera were originally collected in May 2022 at the Interuniversity Institute for Marine Sciences (IUI) in Eilat, Israel (29°30'07.8N, 34°55'04.9E) and maintained in culture in Germany until the start of the experiment. To assess the effectiveness of two chemical agents—menthol and 3-(3,4-dichlorophenyl)-1,1-dimethylurea (DCMU)—in disrupting symbiosis, photosynthetic efficiency (measured as maximum quantum yield, Fv/Fm) was recorded every other day during the first week of the experiment using a Pulse-Amplitude-Modulated (PAM) fluorometer. Fv/Fm measurements were discontinued after the first week due to complete inhibition of photosynthesis. Symbiont coverage (%) was assessed on day one and then weekly until week four using Confocal Laser Scanning Microscopy (CLSM).

Multibeam bathymetry processed data (Kongsberg EM 2040 working area dataset) of RV ALKOR during cruise AL628, west of Little Belt, Baltic Sea

Multibeam bathymetry processed data (EM 2040 multibeam echosounder) of RV ALKOR during cruise AL628 in the Baltic Sea. The raw data (.kmall) were processed using QPS Qimera software (v 2.6), based on the following workflow: 0.Raw data > 1.Apply correct Sound Velocity Profiles -> 2.Create dynamic surface (shallow Mode) -> 3.Apply Spline Filter (Medium/Strong) > 4. Finalize with manual 2D and 3D editing, -> 5.Export in GeoTIFF format and projected in the UTM32N coordinate system (EPSG:32632). The produced rasters are named AL628_EM2040_'working area'_'resolution in cm'. The bathymetry dataset here is gridded at 0.25 m and 0.50 m resolution. The data products were created in the context of the DAM (German Marine Research Alliance), CONMAR research project.

Multibeam bathymetry processed data (Kongsberg EM 2040 working area dataset) of RV ALKOR during cruise AL628, southwest of Bornholm, Baltic Sea

Multibeam bathymetry processed data (EM 2040 multibeam echosounder) of RV ALKOR during cruise AL628 in the Baltic Sea. The raw data (.kmall) were processed using QPS Qimera software (v 2.6), based on the following workflow: 0.Raw data > 1.Apply correct Sound Velocity Profiles -> 2.Create dynamic surface (shallow Mode) -> 3.Apply Spline Filter (Medium/Strong) > 4. Finalize with manual 2D and 3D editing, -> 5.Export in GeoTIFF format and projected in the UTM33N coordinate system (EPSG:32633). The produced rasters are named AL628_EM2040_'working area'_'resolution in cm'. The bathymetry dataset here is gridded at 0.50 m and 0.75 m resolution. The data products were created in the context of the DAM (German Marine Research Alliance), CONMAR research project.

Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM85

Multibeam bathymetry raw data was recorded in the Atlantic during cruise MSM85 that took place between 2019-07-23 and 2019-08-13. The data was collected using the ship's own Kongsberg EM 122. This data is part of the DAM (German Marine Research Alliance) underway research data project.

Pan-Arctic Visualization of Landscape Change (2003-2022), Arctic PASSION Permafrost Service

This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI imagery (cloud-cover less than 80%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2003 and 2022. For each satellite image we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of the Brightness, Greenness and Wetness over two decades on the individual pixel level. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters in 30m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. 2014 and adapted and expanded by Nitze et al. 2016 and Nitze et al. 2018. Here we upscaled the processing to the circum-arctic permafrost region and the recent 20-year period from 2003 through 2022. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data has been processed in Google EarthEngine within the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Panarctic requirements-driven Permafrost Service' of the Arctic PASSION project (see references). Changes in the Tasseled Cap indices Brightness, Greenness, and Wetness are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in dark blue colors, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes appear in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, which can appear in different colors, depending on the time of the fire and pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX, see references) and is available as a public web map service (WMS, see references), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.

Pan-Arctic Visualization of Landscape Change (2005-2024), Arctic PASSION Permafrost Service

This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, Landsat-8 OLI, and Landsat-9 OLI-2 imagery (cloud-cover less than 70%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2005 and 2024. For each satellite image, we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of Brightness, Greenness, and Wetness over two decades at the individual pixel level, based on annually aggregated data. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters at 30 m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. (2014) and adapted and expanded by Nitze et al. (2016, 2018). Here, we upscaled the processing to the circum-arctic permafrost region and applied it to the recent 20-year period from 2005 through 2024. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data have been processed in Google Earth Engine as part of the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Pan-Arctic Requirements-Driven Permafrost Service' of the Arctic PASSION project (see References). Changes in the Tasseled Cap indices – Brightness, Greenness, and Wetness – are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in dark blue tones, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes are shown in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, appearing in different colors depending on the time of the fire and the pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX; see References) and are available as a public web map service (WMS; see References), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.

Multibeam bathymetry processed data (Kongsberg EM 2040 working area dataset) of RV ALKOR during cruise AL628, east of Little Belt, Baltic Sea

Multibeam bathymetry processed data (EM 2040 multibeam echosounder) of RV ALKOR during cruise AL628 in the Baltic Sea. The raw data (.kmall) were processed using QPS Qimera software (v 2.6), based on the following workflow: 0.Raw data > 1.Apply correct Sound Velocity Profiles -> 2.Create dynamic surface (shallow Mode) -> 3.Apply Spline Filter (Medium/Strong) > 4. Finalize with manual 2D and 3D editing, -> 5.Export in GeoTIFF format and projected in the UTM32N coordinate system (EPSG:32632). The produced rasters are named AL628_EM2040_'working area'_'resolution in cm'. The bathymetry dataset here is gridded at 0.25 m and 0.50 m resolution. The data products were created in the context of the DAM (German Marine Research Alliance), CONMAR research project.

Multibeam bathymetry processed data (Kongsberg EM 2040 working area dataset) of RV ALKOR during cruise AL628, southeast of Bornholm, Baltic Sea

Multibeam bathymetry processed data (EM 2040 multibeam echosounder) of RV ALKOR during cruise AL628 in the Baltic Sea. The raw data (.kmall) were processed using QPS Qimera software (v 2.6), based on the following workflow: 0.Raw data > 1.Apply correct Sound Velocity Profiles -> 2.Create dynamic surface (shallow Mode) -> 3.Apply Spline Filter (Medium/Strong) > 4. Finalize with manual 2D and 3D editing, -> 5.Export in GeoTIFF format and projected in the UTM33N coordinate system (EPSG:32633). The produced rasters are named AL628_EM2040_'working area'_'resolution in cm' and AL628_EM2040_'working area'_'resolution in m'. The bathymetry dataset here is gridded at 0.75 m and 1 m resolution. The data products were created in the context of the DAM (German Marine Research Alliance), CONMAR research project.

Konzepte zur Sanierung konventioneller Munitionsaltlasten in Nord- und Ostsee, Vorhaben: Modellierung und Simulation der strömungs- und welleninduzierten Alterung und Ausbreitung von Munitionsobjekten und Sprengstoffpartikeln

Turbulenzgesteuerte sedimentäre Prozesse entlang eines hydrodynamischen Gradienten im Ostfriesischen Wattenmeer: Labor- und Geländeuntersuchungen

Dieses Forschungsvorhaben soll in Zusammenarbeit mit der Abteilung Meeresforschung des Forschungsinstitutes Senckenberg, mit Hilfe methodisch neuer sedimenthydraulischer Messungen einen Beitrag zum Grundlagenverständnis des Stoffhaushaltes im System Wattenmeer leisten und physikalische Eingangsparameter und Grenzwerte für den Beginn von Erosion und Sedimenttransport für die Modellierung dieser Küstenzone liefern. In der beabsichtigten Kombination von Labor- und Feldmessungen sollen jene hydraulischen Grenzzustände erfasst werden, in deren Bereich das Watt den weitgehend stabilen Zustand verlässt. Weiterführende und hierauf aufbauende Modelluntersuchungen werden dem geplanten Sonderforschungsbereich 1739 an der Universität Oldenburg vorbehalten. Der Einsatz der Turbulenzsonde (ADV, Acoustic Doppler Velocimeter, Fa. SONTEC) bietet zum ersten Mal die Möglichkeit, sohlnahe turbulente Strömungen im Labor und im Gelände quantitativ und standardisiert zu erfassen. Im Marburger Strömungs- und Wellenkanal sollen zunächst an natürlichen, aber sterilisierten Wattsedimenten die Wechselwirkungen zwischen dem Turbulenzmuster in der bodennahen Strömung unter einfachen monochromatischen Wellen und dem Sediment untersucht werden. Zugleich soll damit das Messverfahren kalibriert und standardisiert werden. In einem zweiten Schritt soll vergleichend über unterschiedlichen, auch kohäsiven und biogenen fixierten natürlichen Sedimenten der kritische Strömungszustand beim Bewegungsbeginn erfasst werden. In sechs aus dem Rückseitenwatt der Nordsee-Insel Spiekeroog ausgewählten und bereits eingemessenen Meßfeldern mit für den Ablagerungsraum typischen faziellen Mustern wird unter verschiedenen Strömungs- und Wellenbedingungen (Ebb- und Flutstrom, verschiedene Wassertiefen, Seegang, Wellenklima) die ADV-Sonde für dreidimensionale Strömungsmessungen eingesetzt. Parallel zu den bodennahen turbulenten Strömungsverhältnissen soll das Einsetzen von Erosion und Suspensionsentwicklung aufgezeichnet werden. Der Einfluss von Mikroorganismen auf Textur und Stabilität der Sedimentoberfläche soll parallel zu den Messungen verfolgt werden.

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