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Natural remanent magnetization data from IODP Hole 386-M0091D
No full textNatural remanent magnetization (NRM) data from the above given hole of International Ocean Discovery Program (IODP) Expedition 386 (Japan Trench Paleoseismology). The offshore phase of this expedition took place between 2021-04-13 and 2021-06-01 onboard Japanese R/V Kaimei from and to Yokosuka, Japan, followed by an onshore phase onboard D/V Chikyu between 2022-02-14 – 2022-03-15. Because the diameter of the split section (12.5 cm) is larger than the magnetometer entrance (8.1 cm), U-channel samples were taken from the center of each working half during the onshore phase. Measurements were conducted likewise during the onshore phase using the long-core superconducting rock magnetometer (2G Enterprises, model 760) installed on D/V Chikyu. Due to time constraints paleomagnetism measurements were limited to NRM with 5 mT demagnetization, with measurements typically made at 2 cm intervals. Because linearity is difficult to calculate for short cores, such as trigger cores, corrections of declination were not performed for these cores.
For further methodological information see methods chapter in Strasser, M. et al., 2023 https://doi.org/10.14379/iodp.proc.386.102.202
Natural remanent magnetization data from IODP Hole 386-M0092A
No full textNatural remanent magnetization (NRM) data from the above given hole of International Ocean Discovery Program (IODP) Expedition 386 (Japan Trench Paleoseismology). The offshore phase of this expedition took place between 2021-04-13 and 2021-06-01 onboard Japanese R/V Kaimei from and to Yokosuka, Japan, followed by an onshore phase onboard D/V Chikyu between 2022-02-14 – 2022-03-15. Because the diameter of the split section (12.5 cm) is larger than the magnetometer entrance (8.1 cm), U-channel samples were taken from the center of each working half during the onshore phase. Measurements were conducted likewise during the onshore phase using the long-core superconducting rock magnetometer (2G Enterprises, model 760) installed on D/V Chikyu. Due to time constraints paleomagnetism measurements were limited to NRM with 5 mT demagnetization, with measurements typically made at 2 cm intervals. Because linearity is difficult to calculate for short cores, such as trigger cores, corrections of declination were not performed for these cores.
For further methodological information see methods chapter in Strasser, M. et al., 2023 https://doi.org/10.14379/iodp.proc.386.102.202
Natural remanent magnetization data from IODP Hole 386-M0093A
No full textNatural remanent magnetization (NRM) data from the above given hole of International Ocean Discovery Program (IODP) Expedition 386 (Japan Trench Paleoseismology). The offshore phase of this expedition took place between 2021-04-13 and 2021-06-01 onboard Japanese R/V Kaimei from and to Yokosuka, Japan, followed by an onshore phase onboard D/V Chikyu between 2022-02-14 – 2022-03-15. Because the diameter of the split section (12.5 cm) is larger than the magnetometer entrance (8.1 cm), U-channel samples were taken from the center of each working half during the onshore phase. Measurements were conducted likewise during the onshore phase using the long-core superconducting rock magnetometer (2G Enterprises, model 760) installed on D/V Chikyu. Due to time constraints paleomagnetism measurements were limited to NRM with 5 mT demagnetization, with measurements typically made at 2 cm intervals. Because linearity is difficult to calculate for short cores, such as trigger cores, corrections of declination were not performed for these cores.
For further methodological information see methods chapter in Strasser, M. et al., 2023 https://doi.org/10.14379/iodp.proc.386.102.202
Physiologial charaterization of the Arctic diatom Thalassisira hyalina under different acclimation temperatures
No full textThis experiment aimed to understand a the high plasticity of Arctic diatoms towards ocean warming, with a special regard to regulatory mechanisms of photosynthetic and respiratory processes. We therefore assessed the physiological performance of the Arctic diatom Thalassiosira hyalina under sub-optimal (2°C), optimal (6°C) and supra-optimal (10°C) temperatures. The acclimation irradiance was set to 30 µmol photons m-2 s-1 under continuous illumination (24h) and nutrients were repleted. the experiment took place in Winter 2023/2024 in laboratories of the Alfred-Wegener-Institute Bremerhaven. We assessed growth rates, quotas of particulate organic carbon and chlorophyll a, photophyisology using fast repetition rate fluorometry (FRRF) following Schuback et al. 2021, and gas fluxes of O2 and CO2 corresponding to photosynthetic and respiratory processes using membrane-inlet mass-spectrometry (MIMS) following Fock and Sültemeyer 1989 and Rehder et al. 2023. MIMS measurements were done in pH buffered assay medium (pH 7.8) including carbonic anhydrase and equilibrated to ~20% 18O2, to distinguish between photosynthetic O2 production and respiratory O2 consumption in the light. Furthermore, both FRRF and MIMS measurements were performed in photosynthesis-irradiance assays to obtained maximal rates of electron transport, gross O2 production and gross C-fixation. The dataset indicates a metabolic coupling of chloroplasts and mitochondria, which likely reroutes excess reductant from the chloroplasts into mitochondrial respiration
Time series seafloor image data from SWS-WetCam1 mooring - Feburary 2021 - April 2022
No full textDuring the PS124 Expedition to the Weddell Sea, Feb - Mar 2021, an extensive brooding colony of Neopagetopsis Ionah was discovered on the eastern flank of the Filchner Trough. Extensive towed camera deployments gauged some of the extent of the colony. To complement this spatial data a mooring was deployed at the site (PS124: SWS-WetCam), equipped with two cameras and lights for imaging the seafloor. Standard Raspberry Pi cameras developed within AWI were used for this (Purser et al. 2020), together with Deep Sea Power and Light illumination. In this dataset, images collected with one of these cameras (one failed on deployment) from 28th February 2021 until 29th April 2022 are presented. Images were taken with a six hour tempral spacing from an altitude of ca. 3m above the seafloor
A Late Pleistocene sea level stack, version 2
No full textLate Pleistocene sea level has been reconstructed from ocean sediment core data using a wide variety of proxies and models. However, the accuracy of individual reconstructions is limited by measurement error, local variations in salinity and temperature, and assumptions particular to each technique. Here we present a sea level stack (average) which increases the signal-to-noise ratio of individual reconstructions. Specifically, we perform principal component analysis (PCA) on seven records from 0–430 ka and five records from 0–798 ka. The first principal component, which we use as the stack, describes ~80 % of the variance in the data and is similar using either five or seven records. After scaling the stack based on Holocene and Last Glacial Maximum (LGM) sea level estimates, the stack agrees to within 5 m with isostatically adjusted coral sea level estimates for Marine Isotope Stages 5e and 11 (125 and 400 ka, respectively). When we compare the sea level stack with the d18O of benthic foraminifera, we find that sea level change accounts for about ~40 % of the total orbital-band variance in benthic d18O, compared to a 65 % contribution during the LGM-to-Holocene transition. Additionally, the second and third principal components of our analyses reflect differences between proxy records associated with spatial variations in the d18O of seawater
Multibeam bathymetry processed data (Atlas Hydrosweep DS 2 echo sounder entire dataset) of RV POLARSTERN during cruise ANT-XXII/5 (PS67), Atlantic Ocean
No full textMultibeam data were collected during RV Polarstern cruise ANT-XXII/5 (2005-05-23 to 2005-06-21). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 2 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from CTDs, tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII ( ). Additional grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only
Total carbohydrates quantified in sediment cores from coastal vegetated ecosystems
No full text50-cm deep sediment cores were taken in saltmarsh, seagrass, mangroves and unvegetated areas around the German Bight, Malaysia and Columbia in 2022 and 2023. Up to 3 points per ecosystem were sampled along a transect, in total 93 cores were analysed. Carbohydrates were sequentially extracted using MilliQ-water and 0.3 M EDTA for later analyses. The total carbohydrate content was assessed using the phenol-sulfuric acid assay (Dubois et al., 1956). Briefly, 100 µL of resuspended samples or extracts were mixed with 100 µL of 5% phenol solution, followed by the addition of 500 µL of concentrated sulfuric acid. The reaction mixture was incubated at room temperature for 10 minutes, then further incubated at 30°C for 20 minutes. Absorbance at 490 nm was measured using a Spectramax Id3 plate reader (Molecular Devices) and quantified against a glucose standard curve
Polysaccharides quantified in sediment cores from coastal vegetated ecosystems
No full text50-cm deep sediment cores were taken in saltmarsh, seagrass, mangroves and unvegetated areas around the German Bight, Malaysia and Columbia in 2022 and 2023. Up to 3 points per ecosystem were sampled along a transect, in total 93 cores were analysed. Carbohydrates were sequentially extracted using MilliQ-water and 0.3 M EDTA for later analyses. Polysaccharides were screened using microarray analysis following the method described by Vidal-Melgosa et al. (2022). Briefly, sediment extracts from MilliQ-water and EDTA were combined in equal volumes, and 30 µL of the mixture was transferred into wells of 384-microwell plates. Two consecutive two-fold dilutions were performed using a printing buffer (55.2% glycerol, 44% water, 0.8% Triton X-100). The plates were then centrifuged at 3,500 × g for 10 minutes at 15 °C. Each microarray was individually probed with a monoclonal antibody (mAb), and binding was detected using a secondary antibody conjugated to alkaline phosphatase. In the presence of its substrate, this reaction produced a colorimetric signal. Developed arrays were scanned at 2400 dots per inch, and binding signal intensity was quantified using Array-Pro Analyzer 6.3 software (Media Cybernetics)
Multibeam bathymetry raw data (EM 120 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM04/3
No full textMultibeam bathymetry raw data using the ship's own Kongsberg (Simrad) EM 120 multibeam echosounder was almost continuously recorded during RV MARIA S. MERIAN cruise MSM04/3. Data was recorded on 16 days between 2007-01-24 and 2007-02-12. This dataset contains a transit survey in the North Atlantic Ocean and a survey covering the Fifteen-Twenty fracture zone close to the Mid-Atlantic Ridge. The approximate average depth of the entire dataset is around 4900m. 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. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. 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 et al. 2024, https://doi.org/10.5281/zenodo.6302801)