Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM79/2

Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV MARIA S. MERIAN cruise MSM79/2. Data was recorded on 11 days between 2018-12-06 and 2018-12-18. This dataset contains an elongated transit survey at the North Atl...

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Bibliographic Details
Main Authors: Kinne, Stefan, Schopenhauer, Mila, Steffen, Melanie
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.947839
https://doi.org/10.1594/PANGAEA.947839
Description
Summary:Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV MARIA S. MERIAN cruise MSM79/2. Data was recorded on 11 days between 2018-12-06 and 2018-12-18. This dataset contains an elongated transit survey at the North Atlantic Ocean passing the Rocket Seamount. Also data at the Caribbean Sea was acquired. The approximate average depth of the entire dataset is around 3500m. 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. However, data analysis of the multibeam raw data revealed that SVP has not been changed 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).