Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM53

• Main Author: Kieke, Dagmar
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: Bathymetry; Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM53; MSM53/0_Underway-1; Multibeam Echosounder; Number of pings; RACE-II; Ship speed; Start of data file; depth; heading; Start of data file recording; Stop of data file; Stop of data file recording; Swath-mapping system Simrad EM122 (Kongsberg Maritime AS); North Atlantic
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.944241; https://doi.org/10.1594/PANGAEA.944241

Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV MARIA S. MERIAN cruise MSM53. Data was recorded on 36 days between 2016-04-03 and 2016-05-09. This dataset contains an elongated transit survey in the North Atlantic Ocean. The approximate average depth of the entire dataset is around 3900m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Nevertheless, the origin of these SVP files is unknown. Data analysis of the multibeam raw data revealed that SVP has been changed several times during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).