Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM58/2

Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV MARIA S. MERIAN cruise MSM58/2. Data was recorded on 17 days between 2016-10-08 and 2016-10-25. This dataset contains transit survey from north to south covering...

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Bibliographic Details
Main Author: Behrens, Lisa K
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.939822
https://doi.org/10.1594/PANGAEA.939822
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 MSM58/2. Data was recorded on 17 days between 2016-10-08 and 2016-10-25. This dataset contains transit survey from north to south covering the North & South Atlantic Ocean. The approximate average depth of the entire dataset is around 4700m. 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. Two ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus added to this dataset. However, also data analysis of the multibeam raw data revealed that SVP has not been changed during the survey, in fact also both files contain the same profile. Note, that it is unclear whether this profile has been measured during the cruise. 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 may contain incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP, especially considering the long distances traveled during the cruise. However, 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).