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Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV METEOR during cruise M110
No full textRaw bathymetry data were collected using the ship's own Kongsberg EM122 multibeam echosounder during the RV METEOR cruise M110 GALIMOS (Monitoring the interaction between Oceanographic elements and Sedimentary seabed structures at the GALIcian margin). The cruise took place between 2014-09-15 and 2014-09-30 (Vigo, Spain – Cádiz, Spain), aiming to monitor the relationship between oceanography and seabed at the continental margin off the northwest Iberian Peninsula. The EM122 echosounder was used throughout the whole cruise for mid- and deep-water mapping, while the EM710 echosounder collected data in shallow waters. 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. Sound velocity profiles (SVP) archived at BSH are part of this submission. Data are unprocessed and therefore contain incorrect depth measurements (artifacts). 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)
Master tracks in different resolutions of SONNE cruise SO313/1, Auckland - Auckland, 2025-06-04 - 2025-07-13
No full textRaw data acquired by position sensors on board RV SONNE during expedition SO313/1 were processed to receive a validated master track which can be used as reference of further expedition data. During SO313/1 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track
Master tracks in different resolutions of ALKOR cruise AL623a, Kiel - Kiel, 2024-11-09 - 2024-11-11
No full textRaw data acquired by position sensors on board RV Alkor during expedition AL623a were processed to receive a validated master track which can be used as reference of further expedition data. During AL623a data from the motion reference unit Kongsberg MRU-Z, the Trimble MPS865 GPS receiver, the Furuno GP-170 and Furuno GP-150 GPS receivers and from the NAVIGAT X MK 1 gyro compass were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (http://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track
Cluster groups and sea surface temperature reconstruction of IODP Site 383-U1539
No full textThis dataset contains planktonic foraminifera assemblage groups defined by cluster analysis, alongside sea surface temperature (SST) reconstructions generated with the Modern Analogue Technique (MAT). The record spans 0.5 to 1.3 Ma, covering intervals before, during, and after the Middle Pleistocene Transition (MPT). Sediments were recovered by drilling during IODP Expedition 383 at Site U1539, located in the South Pacific sector of the Southern Ocean. Samples were washed through a 63 µm sieve, dried at approximately 50°C for 24 hours, and subsequently sieved through a 250 µm mesh. Species-level identification was performed using a stereomicroscope. Counts of each species were converted into relative abundances (%), which were then used as input for cluster analysis performed in PAST Software (version 4.14) applying the unweighted pair group method with arithmetic mean (UPGMA) algorithm and the Bray–Curtis similarity index. The dataset includes the sample code, depth in meters CSF-A (core depth below seafloor, method A), interpolated age in million years (Ma), MAT-derived SST estimates (°C) with corresponding weighted standard deviations, and the cluster group assigned to each sample following the classification proposed by de Castro et al. (2025; doi:10.1016/j.marmicro.2025.102501). These data were used as proxies to reconstruct and characterize paleoceanographic changes in the central South Pacific between 0.5 and 1.3 Ma, encompassing the MPT. MAT analysis, which was performed following the previous description by Hutson (1980; doi:10.1126/science.207.4426.64) and Kucera et al. (2005; doi:10.1016/j.quascirev.2004.07.014)
Master track of MARIA S. MERIAN cruise MSM138 in 1 sec resolution (zipped, 131 MB)
No full textRaw data acquired by position sensors on board RV MERIAN during expedition MSM138 were processed to receive a validated master track which can be used as reference of further expedition data. During MSM138 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and the GPS receivers Trimble SPS855 and SAAB R4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track
Continuous optical chlorophyll-a and turbidity data along RV SONNE cruise SO306
No full textUnderway optical chlorophyll-a and turbidity data were collected along the cruise track with Sea-Bird Scientific ECO FLNTU sensors installed within two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). The SMBs measure alternatingly. While one box is measuring, the other one is being cleaned. The boxes switched generally every 12 hours. The water inlet for the SMBs is at about 4 m below sea surface. Observed chlorophyll-a and turbidity data were both quality controlled. Analysis of the chlorophyll-a and turbidity data during parallel operation of the sensors in the two boxes showed significant differences between the sensors. The sensors were aligned resulting in consistent chlorophyll-a and turbidity time series. A comparison for the corrected chlorophyll-a with satellite data using the GlobColour CHL1 product was analyzed. Turbidity data were also compared to the GlobColour SPM-OC5 product. Details on all quality control steps and the comparison with satellite data can be found in the data processing report. Comparison between satellite and SMB showed moderately high agreement for the GlobColour CHL1 product with a slope close to 1. The SMB Chla data therefore seem adequate to use as a rough estimate of the Chla concentration during the expedition. Nonetheless, note that the instruments are factory-calibrated, however, no post-calibration was performed due to missing reference data. Absolute values should be challenged. Additionally, the data set user should keep in mind that some parts of the time series might be affected by non-photochemical quenching, see data processing report. It was out of the scope of the quality control to flag or correct non-photochemical quenching. The resulting data set contains the original data and corresponding quality flags achieved by the quality control algorithm as well as the corrected chlorophyll-a and turbidity data with corresponding quality flags. The data source is given through the name of the active SMB. The data set contains data during transit time and station work. We recommend to use ship's speed to filter for only transit data