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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.

Entwicklung integrativer Maßnahmen zur Wiederherstellung intakter Riffsysteme der Europäischen Auster mit Europäischem Hummer und Nagelrochen

Austernriffe boten in der Nordsee einst Lebensraum und Nahrungsgrundlage für unzählige Organismen. In dem Projekt haben sich das Bundesamt für Naturschutz, das Alfred-Wegener-Institut Helmholtz-Zentrum für Polar und Meeresforschung und das Thünen-Institut für Fischereiökologie die Entwicklung von Methoden zur Wiederherstellung dieser Vielfalt zur Aufgabe gemacht.

plankton*net

The PLANKTON*NET data provider at the Alfred Wegener Institute for Polar and Marine Research is an open access repository for plankton-related information. It covers all types of phytoplankton and zooplankton from marine and freshwater areas. PLANKTON*NET's greatest strength is its comprehensiveness as for the different taxa image information as well as taxonomic descriptions can be archived. PLANKTON*NET also contains a glossary with accompanying images to illustrate the term definitions. PLANKTON*NET therefore presents a vital tool for the preservation of historic data sets as well as the archival of current research results. Because interoperability with international biodiversity data providers (e.g. GBIF) is one of our aims, the architecture behind the new planktonnet@awi repository is observation centric and allows for mulitple assignment of assets (images, references, animations, etc) to any given observation. In addition, images can be grouped in sets and/or assigned tags to satisfy user-specific needs . Sets (and respective images) of relevance to the scientific community and/or general public have been assigned a persistant digital object identifier (DOI) for the purpose of long-term preservation (e.g. set ""Plankton*Net celebrates 50 years of Roman Treaties"", handle: 10013/de.awi.planktonnet.set.495)"

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.

Charakterisierung von Schiffsemissionen und ihr Eintrag ins Meer

PlumeBaSe beschäftigt sich mit der detaillierten Analyse der Zusammensetzung organischer Aerosole, freigesetzt während der Verbrennung fossiler Treibstoffe durch Schiffe, und deren weiterem Weg in der marinen Umwelt. Durch die hochaufgelöste Beprobung der Aerosole und ihrer Transformationsprodukte vom Schiffsschornstein bis in die Ostsee wird eine Brücke zwischen Atmosphären- und Meeresforschung geschlagen. Der zunehmende globale Warentransport auf dem Wasserweg erhöht den Druck auf marine Ökosysteme. Große Schiffe emittieren, zusätzlich zu gasförmigen Schadstoffen, große Mengen an Partikeln reich an Spurenmetallen und organischen Schadstoffen zunächst in die Atmosphäre von wo aus die Schadstoffe ins Meer gelangen. Negative Auswirkungen saurer Oxide und organischer Schadstoffe sind bekannt, weniger hingegen wurde bisher die Deposition der Schiffsaerosole und deren Beitrag zur Meeresverschmutzung untersucht. Besonders lückenhaft ist das Verständnis für die Alterungsprozesse während des atmosphärischen Transports sowie in der Wassersäule, beispielweise durch UV-Strahlung oder reaktive Sauerstoffspezies, obwohl die Transformationsprodukte sehr unterschiedliche Auswirkungen auf Biota haben und die Molekülstruktur den weiteren Weg in der Umwelt maßgeblich beeinflussen können.Um diese Wissenslücken zu schließen, soll in PlumeBaSe durch eine vielschichtige Umweltbeprobung eine neuartige, umfassende Erhebung des Emissionstransports und der Aerosolalterung erreicht werden. Die Projektpartner des Leibniz Instituts für Ostseeforschung Warnemünde (IOW), der Universität Rostock (UR) und der Karls-Universität Prag (CU) befassen sich mit den folgenden zentralen Hypothesen: (H1) Schiffsemissionen tragen signifikant zur Verschmutzung des Oberflächenwassers bei, der Eintrag ist besonders hoch entlang der Hauptschifffahrtsrouten. (H2) Während des atmosphärischen und marinen Transports ändern sich die physikalischen (Partikelgrößenverteilung) und chemischen (molekulare Profile) Eigenschaften der emittierten Aerosole, was ihren weiteren Weg in der Umwelt beeinflusst. (H3) Die Veränderungen auf molekularer Ebene können verfolgt und genutzt werden um Schadstoffeinträge über die Atmosphäre von den über Nassabscheider eingebrachte Verschmutzungen zu unterscheiden.Diese angestrebten Zielsetzungen werden in drei Arbeitspaketen adressiert via I. Zeitlich und räumlich hochaufgelöster Analyse von Partikelgrößenverteilungen direkt in den Abgasfahnen der Schiffe unter Nutzung eines unbemannten Luftschiffes, kombiniert mit hochsensitiven gerichteten und ungerichteten chemischen Analysen der II. atmosphärischen Schadstoffe in Partikeln unterschiedlicher Größe, sowie der III. Schadstoffe im Meerwasser. Die Ostsee stellt durch die hohe Schiffsverkehrsdichte, gute Erreichbarkeit und Regulation der Schiffsemissionen ein ideales Untersuchungsgebiet dar, welches sich auch als Modellsystem für die Beeinflussung küstennaher Ozeane durch Schiffsverkehr weltweit eignet.

FZT 15: Der Ozean im Erdsystem; Ocean Margins - Research Topics in Marine Geosciences for the 21st Century, Sub project: Infrastructure, Support and Central Management

The research centre 'Ocean Margins' at the University of Bremen was established in July 2001 to geoscientifically investigate the transitional zones between the oceans and the continents. The work of the research centre is a cooperative effort, with expertise provided by the geosciences department and other departments of the university, as well as by MARUM (Center for Marine Environmental Sciences), the Alfred Wegener Institute for Polar and Marine Research, the Max Planck Institute for Marine Microbiology, the Center for Marine Tropical Ecology, and the Senckenberg Research Institute in Wilhelmshaven. Funded by the DFG, the studies focus on four main research fields: Paleoenvironment, Biogeochemical processes, Sedimentation Processes, and Environmental Impact Research. The term 'Ocean Margin' encompasses the region from the coast, across the shelf and continental slope, to the foot of the slope. Over 60 percent of the world's population live in coastal regions. These people have a long history of exploitation of coastal waters, including the recovery of raw materials and food. Human activity has recently been expanding ever farther out into the ocean, where the ocean margins have become more attractive as centers for hydrocarbon exploration, industrial fishing, and other purposes. The research themes of the centre range from environmental changes in the Tertiary to the impact of recent coastal construction, and from microbial degradation in the sediment to large-scale sediment mass wasting along continental margins. New full professorships and junior professorships have been established within the framework of this research centre. In addition to the primary research activities, a research infrastructure will be made available to outside researchers. Graduate education and the public understanding of science also play an important role. In the course of the first two rounds of the Excellence Initiative, the Research Centre was promoted to that status of a cluster of excellence, which has increased the amount of funding it receives up to the average amount of 6.5 million per annum received by clusters of excellence.

Integrierte sozial-ökologische Netzwerkanalyse für die transdisziplinäre Entwicklung von Indikatoren und Handlungsempfehlungen zur Reduktion anthropogener Stressoren, Vorhaben: Gestaltung von integrativen Governance-Strukturen

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