Swath sonar bathymetry during POLARSTERN cruise ARK-XXII/1a (PS70) with links to multibeam raw data files

• Main Authors: Klages, Michael, Albrecht, Sebastian, Eisenschmidt, Julia, Schenke, Hans Werner, Gauger, Steffen
• Format: Dataset
• Language: English
• Published: PANGAEA 2011
• Subjects: ARK-XXII/1a; AWI_BPP; Bentho-Pelagic Processes @ AWI; CT; DATE/TIME; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; LATITUDE; LONGITUDE; Norwegian Sea; Polarstern; PS70; PS70/1a-track; Standard for Geospatial Metadata V.2; Swath-mapping system Atlas Hydrosweep DS-2; Underway cruise track measurements; Uniform resource locator/link to image; Uniform resource locator/link to metadata file; Uniform resource locator/link to raw data file; Svalbard; Norway; Floholmen; Arctic; Berichte zur Polar- und Meeresforschung; Northern Norway; Reports on Polar and Marine Research; Sea ice
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.773183; https://doi.org/10.1594/PANGAEA.773183

Multibeam data were measured as part of the project HERMES during R/V Polarstern cruise ARK-XXII/1 (2007-05-29 to 2007-07-25) along transits and survey profiles and partly during stationary work. Data were achieved mainly in the coastal areas of northern Norway, at the Hakon Mosby Mud Volcano at the continental margin approx. 200 nm off the norwegian coast and the AWI-Hausgarten area approx. 150 nm west of Svalbard. A number of surveys were carried out in the coastal areas of northern Norway (Sula Reef, Roest Reef, Traena area, Floholmen area, Sotbakken area) and around the area of the Hakon Mosby Mud Volcano. The multibeam sonar system Atlas Hydrosweep DS-2 (Atlas Hydrographic, http://www.atlashydro.com) was operated using 59 beams and 90° aperture angle. The refraction correction was achieved using CTD profiles measured during this cruise or, during transits, utilizing the system's own cross fan calibration. The quality of data might be reduced during bad weather periods or adverse sea ice conditions (only in the AWI-Hausgarten area). This dataset contains raw data that are not processed and thus may contain errors and blunders in depth and position.