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  • 1
    Publication Date: 2024-05-16
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO298 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 4.00 m, and a total of 100 bins, covering the depth range between 18.0 m and 810.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data / ping ensembles were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.1294° +/- 0.3975°) and scale factor (0.9979 +/- 0.0094) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 3.0 m/s, rms(UC_z) or rms(VC_z) 〉 0.2.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; GEOTRACES GP11; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO298; SO298_0_Underway-1; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 29616425 data points
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  • 2
    Publication Date: 2024-05-16
    Description: This dataset provides counts of diatom valves for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Counts per taxon are presented against both depth (m) and age (cal yr. BP). The diatom data provides information on Lateglacial ecosystem dynamics and the dataset was used to interpret changes in aquatic diversity as well as in palaeolimnological conditions. A total of 78 samples were selected for diatom analysis using 2-5 cm sample intervals throughout the Lateglacial section of the core sequence, with a higher sampling resolution (1 cm intervals) around key transitions. Organic matter was removed from the samples (ca. 0.01 grams dried sediment) by oxidation using 5 ml of H2O2 (30%) and heating in a water bath at 70 °C for 24-28 hrs. Subsequently, a few drops of HCl (50%) were added to remove residual H2O2 and carbonates. Samples were washed by adding distilled water, shaking vigorously, centrifuging at 1200 rpm for 4 minutes, and removing the liquid using a pipette. This process was repeated 5 times, and a few drops of ammonia (NH3) were added to the solution prior to the final wash to prevent clumping of diatoms. Diatom slides were mounted using Naphrax and diatoms were identified using Krammer and Lange-Bertalot (1986–1991) and Camburn and Charles (2000). For several samples the target count sum of 300 diatom valves could not be reached due to low concentrations or poor diatom preservation. Prior to analysis and interpretation, and where possible, neighbouring samples with a low count sum were amalgamated until a count of at least 100 valves was reached; if this was not possible the samples were deleted from our dataset prior to subsequent analysis (note that these samples are still included in the dataset provided here). All analyses were performed in the laboratories of University College London, UK.
    Keywords: Achnanthes sp.; AGE; alkanes; Amphora copulata; Amphora ovalis; Amphora pediculus; Amphora subconstricta; Asterionella formosa; Aulacoseira sp.; Biodiversity; Cavinula cocconeiformis; Chironomidae; Cocconeis neodiminuta; Cocconeis placentula; Cocconeis sp.; Counting valves; Cymbella parva; Cymbella sp.; Denticula kuetzingii; Denticula sp.; Denticula tenuis; DEPTH, sediment/rock; deuterium; Diatoma sp.; diatoms; Diatoms, centrales indeterminata; Diploneis sp.; Discotella stelligera; ecosystem dynamics; Encyonema minutum; Encyonema silesiacum; Epithemia adnata; Epithemia gibba; Epithemia sorex; Epithemia sp.; Epithemia turgida; Eunotia curvata; Eunotia flexuosa; Eunotia rhomboidea; Eunotia sp.; Fallacia pygmaea; Fragilaria recapitellata; Fragilaria sp.; Fragilariforma constricta; Fragilariforma lata; GDGTs; Germany; Gogorevia exilis; Gomphonema brebissonii; Gomphonema clevei; Gomphonema parvulum; Gomphonema sp.; Haemelsee; Haemelsee_Haem13; Halamphora thumensis; Khursevichia jentzschii; Lake Haemelsee, Germany; Lindavia bodanica; LOI; Meridion circulare; Navicula cincta; Navicula exilis; Navicula lanceolata; Navicula radiosa; Navicula sp.; Nepula vitiosa; Niederreiter Piston corer; Nitzschia dissipata; Nitzschia gracilis; Nitzschia lacuum; Nitzschia obtusa var. brevissima; Nitzschia sp.; NPC; Nupela tenuicephala; ORDINAL NUMBER; Pantocsekiella delicatula; Pantocsekiella ocellata; Pediastrum; Placoneis elginensis; Placoneis gastrum; Planothidium joursacense; Platessa conspicua; Pleurosigma sp.; Psammothidium helveticum; Pseudostaurosira brevistriata; Pseudostaurosira robusta; Pseudostaurosira spp.; Sellaphora pupula; Stauroforma exiguiformis; Stauroneis anceps; Stauroneis construens; Stauroneis sp.; Staurosira construens; Staurosirella pinnata; Staurosirella pinnata var. acuminata; Staurosirella pinnata var. intercedens; Staurosirella pinnata var. minutissima; Tabellaria fenestrata; Tabellaria flocculosa; Tabellaria quadriseptata; Tabellaria sp.; XRF
    Type: Dataset
    Format: text/tab-separated-values, 6862 data points
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  • 3
    Publication Date: 2024-05-16
    Keywords: 65-483B; Albite; Aluminium oxide; Anorthite; Apatite; Barium; Barium/Strontium ratio; Barium/Zirconium ratio; Calcium oxide; Cerium; Cerium/Yttrium ratio; Chromium; CIPW Norm; Deep Sea Drilling Project; DEPTH, sediment/rock; Diopside; DRILL; Drilling/drill rig; DSDP; Gallium; Glomar Challenger; Hypersthene; Ilmenite; Iron oxide, Fe2O3; Iron oxide/Magnesium oxide ratio; Lanthanum; Leg65; Lithologic unit/sequence; Loss on ignition; Magnesium oxide; Magnetite; Manganese oxide; Neodymium; Nickel; Niobium; North Pacific/Gulf of California/CONT RISE; Olivine; Orthoclase; Phosphorus pentoxide; Potassium/Rubidium ratio; Potassium oxide; Rubidium; Sample code/label; Silicon dioxide; Sodium oxide; Strontium; Titanium/Zirconium ratio; Titanium dioxide; X-ray fluorescence (XRF); Yttrium; Zinc; Zirconium; Zirconium/Niobium ratio
    Type: Dataset
    Format: text/tab-separated-values, 827 data points
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  • 4
    Publication Date: 2024-05-16
    Keywords: Archive of Ocean Data; ARCOD; Atomic absorption spectrometry (AAS); Calcium oxide; Calcium oxide/Magnesium oxide ratio; Carbon dioxide; Cobalt; Copper; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GC; GE99; Ge99-29-2; Gravity corer; Iron; Lead; Magnesium oxide; Manganese; Marshal Gelovany; Nickel; Okhotsk Sea; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 39 data points
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  • 5
    Publication Date: 2024-05-16
    Keywords: Archive of Ocean Data; ARCOD; Atomic absorption spectrometry (AAS); Calcium oxide; Calcium oxide/Magnesium oxide ratio; Carbon dioxide; Cobalt; Copper; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GC; GE99; Ge99-31-4; Gravity corer; Iron; Lead; Magnesium oxide; Manganese; Marshal Gelovany; Nickel; Okhotsk Sea; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 103 data points
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  • 6
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV Polarstern during expedition PS139/1 was processed to receive a validated master track which can be used as reference of further expedition data. During PS139/1 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. 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.
    Keywords: 1 sec resolution; CT; Polarstern; POLMAR; PS139/1; PS139/1-track; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 45.5 MBytes
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  • 7
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV Polarstern during expedition PS139/2 was processed to receive a validated master track which can be used as reference of further expedition data. During PS139/2 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. 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.
    Keywords: Calculated; Course; CT; DATE/TIME; LATITUDE; LONGITUDE; Polarstern; PS139/2; PS139/2-track; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 5434 data points
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  • 8
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV Polarstern during expedition PS139/2 was processed to receive a validated master track which can be used as reference of further expedition data. During PS139/2 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. 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.
    Keywords: 1 sec resolution; CT; Polarstern; PS139/2; PS139/2-track; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 70.8 MBytes
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  • 9
    Publication Date: 2024-05-16
    Description: This is the measurement data from chemical analysis of archaeological Neolithic pottery using portable X-ray fluorescence analysis (p-XRF). The pottery came from the sites Wanna 1588, 1591, 1592, 1594 and 1603 (district of Cuxhaven, Lower Saxony, Germany) and belongs to the cultural group of the Funnel Beaker culture. The measurements are part of the research projects "Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle" funded by Niedersachsen Vorab and "Pottery traditions as a mirror of social structures of the 5th and 4th millennium BC in northern Central Europe" funded by the German Research Foundation (DFG project number 438036891). A handheld Niton XL3t XRF-Analyzer of the company analyticon was used. The device was held stationary in a stand. The measurements were taken on the edge of each sherd that have been previously cleaned and smoothed using abrasive paper. Each sherd was analysed in three different areas of the edge using the mode Mining and a small beam of 3 mm. The data consist of the average values of these measurements for each element. Each spot was analysed with four different filters. The total measuring time was 125 seconds.
    Keywords: Archaeological excavation; Archaeological find number; Archaeological site number; archaeology; archaeometry; Calcium; chemical data; Chromium; Excavation_Wanna_1588; Excavation_Wanna_1591; Excavation_Wanna_1592; Excavation_Wanna_1594; Excavation_Wanna_1603; Gallium; Iron; Niobium; Portable X-ray fluorescence analyzer (p-XRF), Niton, XL3t [handheld]; Potassium; Pottery unit; Rubidium; Strontium; Titanium; Vanadium; Wanna, Cuxhaven, Lower Saxony, Germany; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 330 data points
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  • 10
    Publication Date: 2024-05-16
    Description: This is the measurement data from chemical analysis of archaeological Neolithic pottery using Inductively Coupled Plasma- Atomic Emission Spectrometry (ICP-AES). The pottery came from the sites Wanna 1588, 1591, 1592 and 1594 (district of Cuxhaven, Lower Saxony, Germany) and belongs to the cultural group of the Funnel Beaker culture. The measurements are part of the research projects "Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle" funded by Niedersachsen Vorab and "Pottery traditions as a mirror of social structures of the 5th and 4th millennium BC in northern Central Europe" funded by the German Research Foundation (DFG project number 438036891). The measurements were carried out by OMAC Laboratories Ltd. in Loughrea, Galway, Ireland. A minimum of 0.5 g of sample material was taken from each sherd. The sample material was grinded to a fine powder and solved in a 4-acid solution. These solutions were injected into an excited argon plasma.
    Keywords: Aluminium; Archaeological excavation; Archaeological find number; Archaeological site number; Archaeology; archaeometry; Calcium; Cerium; chemical data; Chromium; Cobalt; Excavation_Wanna_1588; Excavation_Wanna_1591; Excavation_Wanna_1592; Excavation_Wanna_1594; Gallium; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Lanthanum; Magnesium; Manganese; Pottery unit; Sodium; Strontium; Vanadium; Wanna, Cuxhaven, Lower Saxony, Germany
    Type: Dataset
    Format: text/tab-separated-values, 195 data points
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  • 11
    Publication Date: 2024-05-16
    Keywords: 65-482B; Albite; Aluminium oxide; Anorthite; Apatite; Barium; Barium/Strontium ratio; Barium/Zirconium ratio; Calcium oxide; Cerium; Cerium/Yttrium ratio; Chromium; CIPW Norm; Deep Sea Drilling Project; DEPTH, sediment/rock; Diopside; DRILL; Drilling/drill rig; DSDP; Gallium; Glomar Challenger; Hypersthene; Ilmenite; Iron oxide, Fe2O3; Iron oxide/Magnesium oxide ratio; Lanthanum; Leg65; Lithologic unit/sequence; Loss on ignition; Magnesium oxide; Magnetite; Manganese oxide; Neodymium; Nickel; Niobium; North Pacific/Gulf of California/CONT RISE; Olivine; Orthoclase; Phosphorus pentoxide; Potassium/Rubidium ratio; Potassium oxide; Rubidium; Sample code/label; Silicon dioxide; Sodium oxide; Strontium; Titanium/Zirconium ratio; Titanium dioxide; X-ray fluorescence (XRF); Yttrium; Zinc; Zirconium; Zirconium/Niobium ratio
    Type: Dataset
    Format: text/tab-separated-values, 536 data points
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  • 12
    Publication Date: 2024-05-16
    Keywords: 65-482_Site; Albite; Aluminium oxide; Anorthite; Apatite; Barium; Barium/Strontium ratio; Barium/Zirconium ratio; Calcium oxide; Cerium; Cerium/Yttrium ratio; Chromium; CIPW Norm; COMPCORE; Composite Core; Deep Sea Drilling Project; DEPTH, sediment/rock; Diopside; DSDP; Gallium; Glomar Challenger; Hypersthene; Ilmenite; Iron oxide, Fe2O3; Iron oxide/Magnesium oxide ratio; Lanthanum; Leg65; Lithologic unit/sequence; Loss on ignition; Magnesium oxide; Magnetite; Manganese oxide; Neodymium; Nickel; Niobium; North Pacific/Gulf of California/CONT RISE; Olivine; Orthoclase; Phosphorus pentoxide; Potassium/Rubidium ratio; Potassium oxide; Rubidium; Sample code/label; Silicon dioxide; Sodium oxide; Strontium; Titanium/Zirconium ratio; Titanium dioxide; X-ray fluorescence (XRF); Yttrium; Zinc; Zirconium; Zirconium/Niobium ratio
    Type: Dataset
    Format: text/tab-separated-values, 412 data points
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  • 13
    Publication Date: 2024-05-16
    Keywords: 65-483; Albite; Aluminium oxide; Anorthite; Apatite; Barium; Barium/Strontium ratio; Barium/Zirconium ratio; Calcium oxide; Cerium; Cerium/Yttrium ratio; Chromium; CIPW Norm; Deep Sea Drilling Project; DEPTH, sediment/rock; Diopside; DRILL; Drilling/drill rig; DSDP; Gallium; Glomar Challenger; Hypersthene; Ilmenite; Iron oxide, Fe2O3; Iron oxide/Magnesium oxide ratio; Lanthanum; Leg65; Lithologic unit/sequence; Loss on ignition; Magnesium oxide; Magnetite; Manganese oxide; Neodymium; Nickel; Niobium; North Pacific/Gulf of California/CONT RISE; Olivine; Orthoclase; Phosphorus pentoxide; Potassium/Rubidium ratio; Potassium oxide; Rubidium; Sample code/label; Silicon dioxide; Sodium oxide; Strontium; Titanium/Zirconium ratio; Titanium dioxide; X-ray fluorescence (XRF); Yttrium; Zinc; Zirconium; Zirconium/Niobium ratio
    Type: Dataset
    Format: text/tab-separated-values, 485 data points
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  • 14
    Publication Date: 2024-05-16
    Description: Physical oceanography data was acquired by a ship-based Seabird SBE911plus CTD-Rosette system onboard RV MARIA S. MERIAN during research cruise MSM105. The CTD system is comprised of a Seabird SBE911plus including dual respectively redundant sensor and pump packages. The SBE11plus Deck Unit remains on board in a laboratory and supplies on one hand power to the SBE9plus underwater unit, on the other hand data telemetry between the SBE9plus and a measurement PC. The SBE9plus underwater unit itself holds a pressure sensor and is interfacing with dual SEB3 temperature, SBE4 conductivity and SBE43 oxygen sensors and two SBE5 pumps to provide a pumped water supply past each sensor. The system also carries an optical FLNTU sensor to measure a combinations of back-scattering, turbidity, and chlorophyll-a. To quantify the photo-synthetically active radiation a PAR sensor is installed as well.
    Keywords: Atlantic Ocean; BUSUC II; Calculated; Calculated according to Chen & Millero (1977); Conductivity; CTD; CTD, Sea-Bird, SBE 3; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus, measured with Temperature sensor, Sea-Bird, SBE3; CTD, Sea-Bird, SBE 911plus; measured with Conductivity sensor, Sea-Bird, SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with Optical backscatter sensor (OBS), WET Labs ECO FLNTU; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Sea-Bird; CTD, Sea-Bird, SBE 911plus; measured with SPAR sensor, Sea-Bird; CTD/Rosette; CTD-RO; DAM_Underway; DAM Underway Research Data; DATE/TIME; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Event label; Fluorescence; Fluorescence, colored dissolved organic matter; Height above sea floor/altitude; LATITUDE; Latitude of event; LONGITUDE; Longitude of event; Maria S. Merian; MSM105; MSM105_10-1; MSM105_10-3; MSM105_104-3; MSM105_1-1; MSM105_112-1; MSM105_112-6; MSM105_113-2; MSM105_117-1; MSM105_117-6; MSM105_117-7; MSM105_118-2; MSM105_118-3; MSM105_1-2; MSM105_12-1; MSM105_12-12; MSM105_13-11; MSM105_13-3; MSM105_14-1; MSM105_14-7; MSM105_15-1; MSM105_15-17; MSM105_15-7; MSM105_17-1; MSM105_17-19; MSM105_17-9; MSM105_18-1; MSM105_18-13; MSM105_19-1; MSM105_20-1; MSM105_23-1; MSM105_23-12; MSM105_23-6; MSM105_24-1; MSM105_24-9; MSM105_25-1; MSM105_25-8; MSM105_26-5; MSM105_26-6; MSM105_26-7; MSM105_33-1; MSM105_33-4; MSM105_35-1; MSM105_36-1; MSM105_38-1; MSM105_38-7; MSM105_40-1; MSM105_40-8; MSM105_4-1; MSM105_42-1; MSM105_42-3; MSM105_44-1; MSM105_47-1; MSM105_51-1; MSM105_51-2; MSM105_54-1; MSM105_54-18; MSM105_54-7; MSM105_56-1; MSM105_57-1; MSM105_60-1; MSM105_6-1; MSM105_62-1; MSM105_62-10; MSM105_64-1; MSM105_64-5; MSM105_66-1; MSM105_66-6; MSM105_68-1; MSM105_68-4; MSM105_69-1; MSM105_69-9; MSM105_72-1; MSM105_72-3; MSM105_73-1; MSM105_73-6; MSM105_73-8; MSM105_74-12; MSM105_74-2; MSM105_74-5; MSM105_75-2; MSM105_76-14; MSM105_76-2; MSM105_79-1; MSM105_80-1; MSM105_82-1; MSM105_83-2; MSM105_86-2; MSM105_88-2; MSM105_89-2; MSM105_90-2; MSM105_90-7; MSM105_91-2; MSM105_92-2; MSM105_93-2; MSM105_93-6; MSM105_94-2; MSM105_95-2; MSM105_96-2; MSM105_96-7; MSM105_97-10; MSM105_97-2; Namibia; Oxygen; Pressure, water; Quality flag, conductivity; Quality flag, oxygen; Quality flag, salinity; Quality flag, water pressure; Quality flag, water temperature; Radiation, photosynthetically active; Radiation, photosynthetically active, surface; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Sound velocity in water; South Atlantic; South Atlantic Ocean; Temperature, water; Turbidity (Nephelometric turbidity unit); van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 595640 data points
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  • 15
    Publication Date: 2024-05-16
    Keywords: Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Calciosolenia spp.; Calciosolenia spp., flux; CB_trap; Chlorophyll a; coccolithophore; Coccolithophoridae cell, flux; Coccoliths, other; Coccoliths, total; DATE/TIME; Date/time end; Date/time start; DEPTH, water; Emiliania huxleyi; Emiliania huxleyi, flux; export fluxes; Florisphaera profunda; Florisphaera profunda, flux; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; Gephyrocapsa muellerae; Gephyrocapsa muellerae, flux; Gephyrocapsa oceanica; Gephyrocapsa oceanica, flux; Gladiolithus flabellatus; Gladiolithus flabellatus, flux; Helicosphaera spp.; Helicosphaera spp., flux; Mixed layer depth; Month; off Cap Blanc; Precipitation; Reticulofenestra sessilis; Reticulofenestra sessilis, flux; Rhabdosphaera spp.; Rhabdosphaera spp., flux; Sample code/label; Season; Sea surface temperature; Syracosphaera spp.; Syracosphaera spp., flux; Total mass, flux per day; TRAFFIC; Trap; TRAP; Trophic Transfer Efficiency in the Benguela Current; Umbellosphaera spp.; Umbellosphaera spp., flux; Umbilicosphaera spp.; Umbilicosphaera spp., flux; western tropical North Atlantic; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 951 data points
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  • 16
    Publication Date: 2024-05-16
    Keywords: Comment; Copepoda, mass; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Elevation of event; Event label; Latitude of event; Length, total; Life stage; Longitude of event; M153; M153_14-4; M153_15-3; M153_18-15; M153_18-18; M153_18-47; M153_18-7; M153_2-2; M153_22-5; M153_25-6; M153_29-5; M153_31-3; M153_33-3; M153_3-4; M153_34-6; M153_35-14; M153_35-16; M153_35-6; M153_35-7; M153_37-5; M153_38-5; M153_39-11; M153_39-23; M153_40-6; M153_41-4; M153_45-4; M153_5-4; M153_7-16; M153_7-5; Meteor (1986); MSN; Multiple opening/closing net; Prosome, length; Sample ID; Species; Station label; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 3366 data points
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  • 17
    Publication Date: 2024-05-16
    Keywords: Prosome, length; Prosome length, standard deviation; Species; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 561 data points
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  • 18
    Publication Date: 2024-05-16
    Keywords: Comment; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Dry mass per individual; Elevation of event; Event label; experiment; Experiment; Individual respiration rate; Latitude of event; Life stage; Longitude of event; M153; M153_11-4; M153_12-4; M153_13-4; M153_14-4; M153_17-5; M153_18-15; M153_18-18; M153_18-5; M153_18-7; M153_24-6; M153_25-6; M153_31-3; M153_33-3; M153_34-6; M153_35-14; M153_35-6; M153_37-5; M153_38-5; M153_39-23; M153_40-6; M153_40-7; M153_43-4; M153_44-4; M153_45-4; M153_49-2; M153_7-16; M153_7-5; M153_8-4; M153_9-3; Meteor (1986); MSN; Multiple opening/closing net; Respiration rate, oxygen, per dry mass; Sample ID; Species; Station label; Temperature, water; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 1690 data points
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  • 19
    Publication Date: 2024-05-16
    Description: As part of the BMBF funded project TRAFFIC (Trophic Transfer Efficiency in the Benguela Current) and GENUS (Geochemistry and Ecology of the Namibian Upwelling System), the mole fraction of CO2 (xCO2) was measured in surface waters by using an underway pCO2 system (SUNDANS) during eight cruises. SUNDANS was developed by marine analytics and data (MARIANDA, Germany, www.marianda.com) according to the recommendations of the 2002 underway pCO2 system workshop in Miami. It was equipped with a shower type equilibrator, an open pre-equilibrator and a non-dispersive dual cell infrared gas analyzer (LI-7000). The LI-7000 was calibrated by using nitrogen gas (zero CO2) and a two additional standard gas for CO2. The standard gases were obtained from the company Deuste Steininger GmbH, Germany and revealed CO2 concentrations of 350 to 480 ppm (Std1) and around 800 ppm (Std2). The CO2 standard gases were calibrated against the standard gases provided by NOAA at the Institute for Baltic Sea Research in Warnemünde, Germany and the Leibniz Centre for Tropical Marine Research in Bremen, Germany. The xCO2 data were recorded each 6 seconds and subsequently averaged minute by minute. Minute by minute data on atmospheric pressure (Digital Barometer PTB220, Vaisala), wind speed (Ultrasonic Anemometer 2D, Thies), seawater temperature (Digital Oceanographic Thermometer SBE38, Sea-Bird Electronics, inc.) and salinity (Thermosalinograph SBE21 Seacat, Sea-Bird Electronics, inc.) were measured by underway systems mounted on board the research vessels (Data provided by the Federal Maritime and Hydrographic Agency, access under http://dship.bsh.de/). xCO2 was converted into pCO2 by using the CO2sys programme. The difference between the equilibrator and the sea water temperature was taken into account as suggested by Dickson et al. (2007, SOP5, page 8). Additional measurements on total alkalinity were carried out during SO285 using the VINDTA 2S system (MARIANDA, Germany, www.marianda.com). The samples were titrated with a fixed volume of hydrochloric acid (HCl) by equal increments of HCl (0.1 N HCl). The VINDATA 2S system was calibrated using Certified Reference Material provided by A. Dickson (Scripps Institution of Oceanography, La Jolla, CA, USA).
    Keywords: Alkalinity, total; Barometer PTB220, Vaisala; Benguela Upwelling System; Calculated using CO2SYS; Coulometric titration, Marianda, VINDTA 2S; Date/Time of event; DEPTH, water; elemental stoichiometry; Event label; GENUS; Geochemistry and ecology of the Namibian upwelling system; Latitude of event; Longitude of event; M100/1; M100/1_0_underway-1; M100/2; M100/2_0_underway-1; M102; M102_0_underway-1; M103/1; M103/1_0_underway-1; M103/2; M103/2_0_underway-1; M153; M153_0_underway-4; M99; M99_0_underway-1; marine carbon cycle; Meteor (1986); MULT; Multiple investigations; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pressure, atmospheric; Salinity; Sea surface partial pressure of CO2; SO285; SO285_0_Underway-5; Sonne_2; Temperature, water; Thermosalinograph Seacat SBE-21 system with SBE 38; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; Ultrasonic Anemometer 2D, Thies Clima; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 838788 data points
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  • 20
    Publication Date: 2024-05-16
    Keywords: AC; Aircraft; DATE/TIME; Flight altitude; LATITUDE; LONGITUDE; P5_240_MullerIceCap_2023; P5_240_MullerIceCap_2023_202305090201; POLAR 5; The Mueller Ice Cap; WGS84, onbord GPS, unprocessed, and uncorrected for sensor position
    Type: Dataset
    Format: text/tab-separated-values, 651 data points
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  • 21
    Publication Date: 2024-05-16
    Description: TRIAXUS is a towed and undulating system which was equipped with a SEABIRD FASTCAT, SBE 49, AANDERAA OXYGEN OPTODE 4330 F, and a SEASCAN SUNADeep Nitrate Sensor. It measured: seawater temperatures, salinity, dissolved oxygen and nitrate concentrations in the water column.
    Keywords: Benguela Upwelling System; CTD-TRIAXUS; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Distance; LATITUDE; LONGITUDE; M153; M153_19-3; Meteor (1986); Nitrate; nutrient trapping; Oxygen; oxygen minimum zones; Salinity; Temperature, water; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 354114 data points
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  • 22
    Publication Date: 2024-05-16
    Description: As part of the BMBF funded project TRAFFIC (Trophic Transfer Efficiency in the Benguela Current), water column samples were collected from the CTD/Rosette sampler during RV Meteor cruise M153 and RV Sonne cruise SO285. Dissolved inorganic carbon (DIC) Total Alkalinity (TA) were measured on board using the VINDTA 3C system (MARIANDA, Germany, www.marianda.com) as a combined TA and DIC titration stand. TA was determined by titration of seawater with hydrochloric acid (0.1 N HCl), while DIC was measured coulometrically. During cruise M153, DIC was measured with a cavity ringdown spectrometer (Picarro G2201-I, 1510CFIDS2047_v1.0) attached to a Liaison A0301 and an AutoMate Prep device. Both the VINDTA 3C and Picarro systems were calibrated using Certified Reference Material provided by A. Dickson (Scripps Institution of Oceanography, La Jolla, CA, USA). Nutrient samples were filtered through disposable syringe filters (0.45 µm) after sampling, filled pre-rinsed 50 ml PE bottles and kept frozen at -20°C until on-shore analysis using a continuous-flow injection system (Skalar SAN plus System) according to methods described by Grasshoff et al. (1999).
    Keywords: Alkalinity, total; Benguela Upwelling System; Canarias Sea; Carbon, inorganic, dissolved; Coulometric titration, Marianda, VINDTA 3C; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; elemental stoichiometry; Event label; GENUS; Geochemistry and ecology of the Namibian upwelling system; Latitude of event; Longitude of event; M153; M153_11-1; M153_12-1; M153_13-1; M153_14-1; M153_15-1; M153_16-1; M153_16-3; M153_17-1; M153_17-2; M153_18-13; M153_18-14; M153_18-19; M153_18-2; M153_18-20; M153_18-24; M153_18-25; M153_18-3; M153_18-32; M153_18-36; M153_18-41; M153_18-46; M153_18-8; M153_18-9; M153_19-1; M153_20-1; M153_22-1; M153_23-2; M153_24-1; M153_24-3; M153_2-5; M153_25-1; M153_25-3; M153_29-1; M153_31-1; M153_3-2; M153_32-3; M153_32-4; M153_33-1; M153_34-1; M153_34-2; M153_35-12; M153_35-17; M153_35-18; M153_35-2; M153_35-22; M153_35-24; M153_35-29; M153_35-4; M153_35-8; M153_35-9; M153_36-1; M153_36-3; M153_37-1; M153_37-4; M153_38-1; M153_38-4; M153_39-10; M153_39-13; M153_39-15; M153_39-19; M153_39-22; M153_39-25; M153_39-26; M153_39-3; M153_39-4; M153_39-7; M153_40-3; M153_4-1; M153_41-1; M153_42-1; M153_43-1; M153_44-1; M153_45-1; M153_46-2; M153_46-5; M153_48-1; M153_48-4; M153_49-1; M153_50-1; M153_5-1; M153_51-1; M153_52-1; M153_53-1; M153_54-1; M153_55-1; M153_6-1; M153_7-13; M153_7-19; M153_7-2; M153_7-22; M153_7-8; M153_8-1; M153_9-1; marine carbon cycle; Meteor (1986); Nitrate; Nitrite; Nutrient analyzer, Skalar Analytical GmbH, San Plus; Oxygen; Phosphate; Salinity; Sea surface partial pressure of CO2; Silicic acid; SO285; SO285_100-1; SO285_10-1; SO285_101-1; SO285_102-1; SO285_103-1; SO285_104-1; SO285_105-1; SO285_106-1; SO285_108-1; SO285_109-1; SO285_1-1; SO285_110-2; SO285_110-7; SO285_11-1; SO285_111-2; SO285_114-1; SO285_115-1; SO285_116-1; SO285_117-1; SO285_117-4; SO285_119-1; SO285_120-2; SO285_120-5; SO285_12-1; SO285_121-1; SO285_122-1; SO285_123-1; SO285_124-1; SO285_125-1; SO285_126-1; SO285_127-1; SO285_128-1; SO285_129-1; SO285_130-1; SO285_131-1; SO285_132-1; SO285_133-1; SO285_134-1; SO285_136-1; SO285_138-1; SO285_139-1; SO285_140-2; SO285_141-1; SO285_142-2; SO285_144-1; SO285_146-1; SO285_147-1; SO285_15-1; SO285_16-3; SO285_17-1; SO285_18-1; SO285_19-2; SO285_20-1; SO285_2-1; SO285_21-1; SO285_22-3; SO285_22-5; SO285_23-1; SO285_24-1; SO285_25-1; SO285_26-1; SO285_27-1; SO285_28-1; SO285_29-1; SO285_30-1; SO285_3-1; SO285_31-1; SO285_32-1; SO285_33-1; SO285_34-1; SO285_36-1; SO285_37-1; SO285_38-1; SO285_4-1; SO285_41-1; SO285_42-1; SO285_43-2; SO285_44-1; SO285_45-1; SO285_46-1; SO285_47-1; SO285_48-1; SO285_49-1; SO285_50-1; SO285_5-2; SO285_53-1; SO285_54-1; SO285_55-1; SO285_57-1; SO285_58-4; SO285_60-1; SO285_6-1; SO285_61-1; SO285_64-1; SO285_67-1; SO285_68-1; SO285_69-1; SO285_7-1; SO285_71-1; SO285_71-4; SO285_72-1; SO285_74-1; SO285_75-1; SO285_76-1; SO285_77-1; SO285_80-1; SO285_8-1; SO285_81-1; SO285_82-1; SO285_84-1; SO285_85-4; SO285_86-1; SO285_87-1; SO285_88-1; SO285_89-1; SO285_90-1; SO285_9-1; SO285_91-1; SO285_92-1; SO285_93-1; SO285_94-1; SO285_96-1; SO285_98-1; Sonne_2; South Atlantic Ocean; Station label; Temperature, water; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 24739 data points
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  • 23
    Publication Date: 2024-05-16
    Description: This dataset provides Pediastrum data for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Percent-abundances per taxon (%), total count sum per sample (#/ml) and Pediastrum flux (#/cm²/a) are presented against both depth (m) and age (cal yr. BP). The Pediastrum data provides information on Lateglacial ecosystem dynamics and the dataset was used to interpret changes in aquatic diversity as well as in palaeolimnological conditions. A dataset of lateglacial pollen samples from lake Haemelsee (see https://doi.pangaea.de/10.1594/PANGAEA.939693) was additionally analysed for subfossil remains of Pediastrum, where identification of the Pediastrum taxa mainly followed Komárek and Jankovská (2001) with further taxonomic revisions as summarized in Turner et al. (2014). Our final Pediastrum dataset includes 100 samples, as samples with fewer than 25 identified Pediastrum coenobia were excluded from further analyses. Pediastrum concentrations were calculated by comparing the number of Lycopodium spores encountered during pollen analyses to the number of spores added to the sample. All analyses were performed in the laboratories of the Technische Universität Braunschweig, Germany.
    Keywords: AGE; Biodiversity; Counting, palynology; DEPTH, sediment/rock; ecosystem dynamics; Germany; Haemelsee; Haemelsee_Haem13; Lake Haemelsee, Germany; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Pediastrum; Pediastrum, flux; Pediastrum boryanum var. boryanum-type; Pediastrum boryanum var. brevicorne; Pediastrum boryanum var. caribeanum; Pediastrum boryanum var. cornutum; Pediastrum boryanum var. longicorne; Pediastrum boryanum var. pseudoglabrum; Pediastrum cf. angulosum; Pediastrum cf. argentinense; Pediastrum cf. biradiatum; Pediastrum duplex var. duplex; Pediastrum duplex var. regulosum; Pediastrum integrum; Pediastrum integrum-type; Pediastrum kawraiskyi; Pediastrum orientale-type
    Type: Dataset
    Format: text/tab-separated-values, 2000 data points
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  • 24
    Publication Date: 2024-05-16
    Description: Here, we compiled data obtained from a research cruise with the German RV Meteor (M153) and an oceanographic mooring to demonstrate that a nutrient trapping zone develops in a narrow belt along the coast during the main upwelling season in the southern Benguela Upwelling System (SBUS). It modifies links between the strength of upwelling, productivity and the intensity of the oxygen minim zone (OMZ) in the SBUS. During the cruise M153 shipboard measurements were conducted along a station grid in the SBUS between February 16th and 28th, 2019. This included CTD casts, one TRIAXUS transect and the deployment of one mooring equipped with a Mini Dot Oxygen Sensor (MDO) and Hydrobios MST-12 sediment trap at water-depth of approximately 95.5 m. In order to study the diurnal cycle, four CTD casts were conducted between February 18th and 19th at station 7 close to the mooring location while mooring data and publically available satellite data on sea surface temperature and primary production were used to study the seasonal cycles of the nutrient trapping zone.
    Keywords: Benguela Upwelling System; nutrient trapping; oxygen minimum zones; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 25
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    PANGAEA
    In:  Supplement to: Obrochta, Stephen P; Yokoyama, Yusuke; Yoshimoto, Mitsuhiro; Yamamoto, Shinya; Miyairi, Yosuke; Nagano, Gen; Nakamura, Atsunori; Tsunematusu, Kae; Lamair, Laura; Hubert-Ferrari, Aurélia; Lougheed, Bryan C; Yasuda, Atsushi; Hokanishi, Natsumi; Heyvaer, Vanessa; De Batist, Marc; Fujiwara, Osamu; The QuakeRecNankai Team (2018): Mt. Fuji Holocene eruption history reconstructed from proximal lake sediments and high-density radiocarbon dating. Quaternary Science Reviews, 200, 395-405, https://doi.org/10.1016/j.quascirev.2018.09.001
    Publication Date: 2024-05-16
    Description: An 8,000-year lacustrine sediment record from Lake Motosu (Fuji Five Lakes) records several eruptions, including potentially unreported events, of the active Mt. Fuji volcano, which receives approximately 47 million annual visitors. A high-fidelity age model is constructed from tephra ages and high-density radiocarbon dating of terrestrial macrofossil and bulk organic matter. Variability in lake reservoir age is constrained by modern lake water radiocarbon measurement and reverse calibration of tephra calendar ages. We present more accurate ages for known eruptions, detect a wider distribution of ejecta for the most recent summit eruption, and potentially identify previously undetected flank eruptions. There are closely spaced scoria-fall layers that may be difficult to differentiate as separate events in land-based surveys. These results demonstrate the utility of lacustrine sediments as powerful tools for understanding characteristics of volcanic eruptions.
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 26
    Publication Date: 2024-05-16
    Description: Data presented here were collected between January 2020 to December 2020 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; salt marsh; Spiekeroog; Temperature
    Type: Dataset
    Format: application/zip, 108 datasets
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  • 27
    Publication Date: 2024-05-16
    Description: Stubacher Sonnblickkees (SSK) is located in the Hohe Tauern Range (Eastern Alps) in the south of Salzburg Province (Austria) in the region of Oberpinzgau in the upper Stubach Valley. The glacier is situated at the main Alpine crest and faces east, starting at elevations close to 3050 m and in the 1980s terminated at 2500 m a.s.l. It had an area of 1.7 km² at that time, compared with 1 km² in 2013. The glacier type can be classified as a slope glacier, i.e. the relief is covered by a relatively thin ice sheet and there is no regular glacier tongue. The rough subglacial topography makes for a complex shape in the surface topography, with various concave and convex patterns. The main reason for selecting this glacier for mass balance observations (as early as 1963) was to verify on a complex glacier how the mass balance methods and the conclusions - derived during the more or less pioneer phase of glaciological investigations in the 1950s and 1960s - could be applied to the SSK glacier. The decision was influenced by the fact that close to the SSK there was the Rudolfshütte, a hostel of the Austrian Alpine Club (OeAV), newly constructed in the 1950s to replace the old hut dating from 1874. The new Alpenhotel Rudolfshütte, which was run by the Slupetzky family from 1958 to 1970, was the base station for the long-term observation; the cable car to Rudolfshütte, operated by the Austrian Federal Railways (ÖBB), was a logistic advantage. Another factor for choosing SSK as a glaciological research site was the availability of discharge records of the catchment area from the Austrian Federal Railways who had turned the nearby lake Weißsee ('White Lake') - a former natural lake – into a reservoir for their hydroelectric power plants. In terms of regional climatic differences between the Central Alps in Tyrol and those of the Hohe Tauern, the latter experienced significantly higher precipitation , so one could expect new insights in the different response of the two glaciers SSK and Hintereisferner (Ötztal Alps) - where a mass balance series went back to 1952. In 1966 another mass balance series with an additional focus on runoff recordings was initiated at Vernagtfener, near Hintereisferner, by the Commission of the Bavarian Academy of Sciences in Munich. The usual and necessary link to climate and climate change was given by a newly founded weather station (by Heinz and Werner Slupetzky) at the Rudolfshütte in 1961, which ran until 1967. Along with an extension and enlargement to the so-called Alpine Center Rudolfshütte of the OeAV, a climate observatory (suggested by Heinz Slupetzky) has been operating without interruption since 1980 under the responsibility of ZAMG and the Hydrological Service of Salzburg, providing long-term met observations. The weather station is supported by the Berghotel Rudolfshütte (in 2004 the OeAV sold the hotel to a private owner) with accommodation and facilities. Direct yearly mass balance measurements were started in 1963, first for 3 years as part of a thesis project. In 1965 the project was incorporated into the Austrian glacier measurement sites within the International Hydrological Decade (IHD) 1965 – 1974 and was afterwards extended via the International Hydrological Program (IHP) 1975 – 1981. During both periods the main financial support came from the Hydrological Survey of Austria. After 1981 funds were provided by the Hydrological Service of the Federal Government of Salzburg. The research was conducted from 1965 onwards by Heinz Slupetzky from the (former) Department of Geography of the University of Salzburg. These activities received better recognition when the High Alpine Research Station of the University of Salzburg was founded in 1982 and brought in additional funding from the University. With recent changes concerning Rudolfshütte, however, it became unfeasible to keep the research station going. Fortunately, at least the weather station at Rudolfshütte is still operating. In the pioneer years of the mass balance recordings at SSK, the main goal was to understand the influence of the complicated topography on the ablation and accumulation processes. With frequent strong southerly winds (foehn) on the one hand, and precipitation coming in with storms from the north to northwest, the snow drift is an important factor on the undulating glacier surface. This results in less snow cover in convex zones and in more or a maximum accumulation in concave or flat areas. As a consequence of the accentuated topography, certain characteristic ablation and accumulation patterns can be observed during the summer season every year, which have been regularly observed for many decades . The process of snow depletion (Ausaperung) runs through a series of stages (described by the AAR) every year. The sequence of stages until the end of the ablation season depends on the weather conditions in a balance year. One needs a strong negative mass balance year at the beginning of glacier measurements to find out the regularities; 1965, the second year of observation resulted in a very positive mass balance with very little ablation but heavy accumulation. To date it is the year with the absolute maximum positive balance in the entire mass balance series since 1959, probably since 1950. The highly complex ablation patterns required a high number of ablation stakes at the beginning of the research and it took several years to develop a clearer idea of the necessary density of measurement points to ensure high accuracy. A great number of snow pits and probing profiles (and additional measurements at crevasses) were necessary to map the accumulation area/patterns. Mapping the snow depletion, especially at the end of the ablation season, which coincides with the equilibrium line, is one of the main basic data for drawing contour lines of mass balance and to calculate the total mass balance (on a regular-shaped valley glacier there might be an equilibrium line following a contour line of elevation separating the accumulation area and the ablation area, but not at SSK). – An example: in 1969/70, 54 ablation stakes and 22 snow pits were used on the 1.77 km² glacier surface. In the course of the study the consistency of the accumulation and ablation patterns could be used to reduce the number of measurement points. - At the SSK the stratigraphic system, i.e. the natural balance year, is used instead the usual hydrological year. From 1964 to 1981, the yearly mass balance was calculated by direct measurements. Based on these records of 17 years, a regression analysis between the specific net mass balance and the ratio of ablation area to total area (AAR) has been used since then. The basic requirement was mapping the maximum snow depletion at the end of each balance year. There was the advantage of Heinz Slupetzky's detailed local and long-term experience, which ensured homogeneity of the series on individual influences of the mass balance calculations. Verifications took place as often as possible by means of independent geodetic methods, i.e. monoplotting , aerial and terrestrial photogrammetry, more recently also the application of PHOTOMODELLER and laser scans. The semi-direct mass balance determinations used at SSK were tentatively compared with data from periods of mass/volume change, resulting in promising first results on the reliability of the method. In recent years re-analyses of the mass balance series have been conducted by the World Glacier Monitoring Service and will be done at SSK too. – The methods developed at SSK also add to another objective, much discussed in the 1960s within the community, namely to achieve time- and labour-saving methods to ensure continuation of long-term mass balance series. The regression relations were used to extrapolate the mass balance series back to 1959, the maximum depletion could be reconstructed by means of photographs for those years. R. Günther (1982) calculated the mass balance series of SSK back to 1950 by analysing the correlation between meteorological data and the mass balance; he found a high statistical relation between measured and determined mass balance figures for SSK. In spite of the complex glacier topography, interesting empirical experiences were gained from the mass balance data sets, giving a better understanding of the characteristics of the glacier type, mass balance and mass exchange. It turned out that there are distinct relations between the specific net balance, net accumulation (defined as Bc/S) and net ablation (Ba/S) to the AAR, resulting in characteristic so-called 'turnover curves'. The diagram of SSK represents the type of a glacier without a glacier tongue. Between 1964 and 1966, a basic method was developed, starting from the idea that instead of measuring years to cover the range between extreme positive and extreme negative yearly balances one could record the AAR/snow depletion/Ausaperung during one or two summers. The new method was applied on Cathedral Massif Glacier, a cirque glacier with the same area as the Stubacher Sonnblickkees, in British Columbia, Canada. during the summers of 1977 and 1978. It returned exactly the expected relations, e.g. mass turnover curves, as found on SSK. The SSK was mapped several times on a scale of 1:5000 to 1:10000. Length variations have been measured since 1960 within the OeAV glacier length measurement programme. Between 1965 and 1981, there was a mass gain of 10 million cubic metres. With a time lag of 10 years, this resulted in an advance until the mid-1980s. Since 1982 there has been a distinct mass loss of 35 million cubic metres by 2013. In recent years, the glacier has disintegrated faster, forced by the formation of a periglacial lake at the glacier terminus and also by the outcrops of rocks (typical for the slope glacier type), which have accelerated the meltdown. The formation of this lake is well documented. The glacier has retreated by some 600 m since 1981. - Since August 2002, a runoff gauge installed by the Hydrographical Service of Salzburg has recorded the discharge of the main part of SSK at the outlet of the new Unterer Eisboden See. The annual reports – submitted from 1982 on as a contractual obligation to the Hydrological Service of Salzburg – document the ongoing processes on the one hand, and emphasize the mass balance of SSK and outline the climatological reasons, mainly based on the met-data of the observatory Rudolfshütte, on the other. There is an additional focus on estimating the annual water balance in the catchment area of the lake. There are certain preconditions for the water balance equation in the area. Runoff is recorded by the ÖBB power stations, the mass balance of the now approx. 20% glaciated area (mainly the Sonnblickkees) is measured andthe change of the snow and firn patches/the water content is estimated as well as possible. (Nowadays laserscanning and ground radar are available to measure the snow pack). There is a net of three precipitation gauges plus the recordings at Rudolfshütte. The evaporation is of minor importance. The long-term annual mean runoff depth in the catchment area is around 3.000 mm/year. The precipitation gauges have measured deficits between 10% and 35%, on average probably 25% to 30%. That means that the real precipitation in the catchment area Weißsee (at elevations between 2,250 and 3,000 m) is in an order of 3,200 to 3,400 mm a year. The mass balance record of SSK was the first one established in the Hohe Tauern region (and now since the Hohe Tauern National Park was founded in 1983 in Salzburg) and is one of the longest measurement series worldwide. Great efforts are under way to continue the series, to safeguard against interruption and to guarantee a long-term monitoring of the mass balance and volume change of SSK (until the glacier is completely gone, which seems to be realistic in the near future as a result of the ongoing global warming). Heinz Slupetzky, March 2014 -------------------- Addendum 2021-04-22: Today, the research site is coordinated by the Hydrographic Survey of Salzburg and the Department of Geoinformatics - Z_GIS at the University of Salzburg (PLUS). The conducted long term research is integrated to global networks and monitoring systems such as LTER (LTER Site Oberes Stubachtal). Such long term ecosystem research is a main part of global efforts in understand ecosystems better and in ensuring a sustainable livelihood. All activities are in accordance with the climate and energy strategy Salzburg 2050.
    Keywords: Glaciers Austria
    Type: Dataset
    Format: application/zip, 62 datasets
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  • 28
    Publication Date: 2024-05-16
    Description: Data refer to export fluxes of calcifying phytoplankton (coccolithophores) across the tropical North Atlantic, from upwelling affected NW Africa, via three ocean sites along 12°N to the Caribbean. Sampling was undertaken by means of a spatial array of four time-series sediment traps (i.e., CB at 21°N 20°W; M1U at 12°N 23°W; M2U at 14°N 37°W; M4U at 12°N 49°W; Guerreiro et al., 2017) collecting particle fluxes in two-week intervals, from October 2012 to February 2014, allowing to track temporal changes along the southern margin of the North Atlantic central gyre. Auxiliary environmental data regarding the mixed layer depth (MLD) are provided for the sampling period at all four trap sites, while Sea Surface Temperature (SST), wind velocity, daily precipitation and sea surface Chl-a concentrations are only provided for sites M1 and CB. All data in supplement to Guerreiro et al. (2019), with links to Guerreiro et al. (2017) and Korte et al. (2017, 2020) (see https://doi.pangaea.de/10.1594/PANGAEA.881457).
    Keywords: coccolithophore; export fluxes; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; western tropical North Atlantic
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 29
    Publication Date: 2024-05-16
    Description: This data collection contains underway shipboard records taken on board the RV Meteor (M99, M100/1, M100/2, M102, M103/1, M103/2, M153) and RV Sonne (SO285) between 2013 and 2021, as well as water column samples collected during RV Meteor cruise M153 (15.02-31.03.2019) and RV Sonne cruise SO285 (20.08-02.11.2021). The expeditions were carried out within the framework of the South African, Namibian and German partnership, and within the BMBF-funded projects GENUS (Geochemistry and ecology of the Namibian upwelling system) and TRAFFIC (Trophic Transfer Efficiency in the Benguela Current). This data collection is intended to provide information on upwelling source water masses feeding the northern and southern region of the Benguela Upwelling System and their role in air-sea gas exchange dynamics.
    Keywords: Benguela Upwelling System; elemental stoichiometry; GENUS; Geochemistry and ecology of the Namibian upwelling system; marine carbon cycle; Sea surface partial pressure of CO2; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 30
    Publication Date: 2024-05-16
    Description: Small copepod genera play an important role in marine food webs and biogeochemical fluxes but have been neglected in many studies. Abundance, biomass and carbon consumption rates of small- (〈1 mm prosome length (PL)), medium- (1-1.5 mm PL) and large-sized (〉2 mm PL) copepods along a cross-shelf transect in the southern Benguela upwelling system were determined using rather high taxonomic resolution. Zooplankton samples were collected with a Multinet (Hydrobios Multinet midi, 5 nets with 200 µm meshsize) during the Meteor cruise M153 in February/March 2019. Calanoids contributed on average 55 ± 19% to total copepod abundance and 82 ± 13% to total copepod biomass. Small-sized Oithona spp. (119/114 mg C m-2 d-1) and Clauso-/Paracalanidae (87/263 mg C m-2 d-1) as well as large-sized Calanoides natalis (47/193 mg C m-2 d-1) were the dominant consumers at the most inshore stations. Small and medium-sized copepodite stages of Metridia lucens were also important, especially towards the continental slope. At offshore stations, Para-/Clausocalanidae (17-27 mg C m-2 d-1), Oithona spp. (9-16 mg C m-2 d-1), Pleuromamma spp. (0-16 mg C m-2 d-1), Calanus agulhensis (0-15 mg C m-2 d-1), Acartia spp. (0-12 mg C m-2 d-1), C. natalis (0-10 mg C m-2 d-1) and M. lucens (2-6 mg C m-2 d-1) were dominant consumers. Hence, usually small- and medium-sized copepods dominated total copepod ingestion, emphasizing that inadequate representation of small copepods will lead to significant underestimations and misinterpretations of the functioning of zooplankton communities, and finally to inadequate biogeochemical models.
    Keywords: TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 31
    Publication Date: 2024-05-16
    Description: Data refer to export fluxes of carbonate produced by calcifying phytoplankton (coccolithophores), and coccolith-CaCO₃ percent contribution to total carbonate flux across the tropical North Atlantic, from upwelling affected NW Africa, via three ocean sites along 12°N to the Caribbean. Sampling was undertaken by means of a spatial array of four time-series sediment traps (i.e., CB at 21°N 20°W; M1U at 12°N 23°W; M2U at 14°N 37°W; M4U at 12°N 49°W; Guerreiro et al., 2021) collecting particle fluxes in two-week intervals, from October 2012 to February 2014, allowing to track temporal changes along the southern margin of the North Atlantic central gyre. Auxiliary PIC (Particulate Inorganic Carbon) data from NASA's Ocean Biology Processing Group (https://oceancolor.gsfc.nasa.gov) are also provided for the sediment sampling period at all four trap sites. Particle flux data (mg/m²/d) of CaCO₃, organic matter, particulate organic carbon (POC), biogenic silica (bSiO₂) and unspecified residual fraction are provided for sediment trap site CB.
    Keywords: coccolith-CaCO₃; Coccolithophores; particle fluxes; PIC/POC; Sediment traps; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; Tropical North Atlantic
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 32
    Publication Date: 2024-05-16
    Description: This article, related to the paper published by Zanola et al. (2024), provides the comprehensive dataset for the first high-resolution δ18O and δ13C records across the Piacenzian – Gelasian boundary (circa 2.6 Ma) in the Gelasian type-area of Monte San Nicola, Sicily (Southern Italy). 230 samples from the lower portion of the "Mandorlo" section of Capraro et al. (2022) were investigated for reconstructing the climate variability of the Central Mediterranean region during the onset of the Northern Hemisphere Glaciation (NHG). Among these, 30 low-resolution samples (sampling pace of 33 cm) were employed for reconstructing a low-resolution record for G. ruber and C. pachyderma, while 200 samples (sampling pace of 5 cm) were handpicked for achieving a high-resolution benthic δ18O and δ13C record for Uvigerina spp. Wavelet power spectrum analysis of the isotopic record highlights a clear signal from components in both the orbital and sub-orbital (millennial) time domains.
    Keywords: Central Mediterranean; Oxygen isotopic stratigraphy; Paleoclimate; Plio-Pleistocene boundary; Sub-orbital climate variability
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 33
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-16
    Description: Raw data acquired by GPS1 position sensors on board research aircraft Polar 5 during the campaign P5_240_MullerIceCap_2023 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 34
    Publication Date: 2024-05-16
    Description: This dataset provides the sedimentological, palaeoecological and geochemical data for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Loss-on-ignition, XRF, n-alkane, delta-Deuterium and GDGT measurements as well as counts of chironomids, diatoms and Pediastrum are presented against both depth (m) and age (cal yr. BP). The data provides information on the Lateglacial development of the landscape around lake Hämelsee, the local climate dynamics, and the changes in the lake ecosystem itself and has been used to identify the effects of external drivers on biodiversity parameters (alpha diversity, compositional turnover and productivity). Cores were retrieved from the lake using a 3-m long UWITEC piston corer deployed from a floating coring platform during field work in July 2013. Following LOI analysis, ITRAX core scanning and sampling for thin section analysis, core segments spanning between 1325-1687 cm sediment depth were subsampled into contiguous 1-cm-thick subsamples. These subsamples formed the basis for the subsequent chronological, sedimentological and palaeoecological analyses and were processed in various laboratories as specified below. Where appropriate, datasets are processed through amalgamation of consecutive samples to e.g. ensure high count sums or concentrations.
    Keywords: alkanes; Biodiversity; Chironomidae; deuterium; diatoms; ecosystem dynamics; GDGTs; Germany; Haemelsee; LOI; Pediastrum; XRF
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 35
    Publication Date: 2024-05-16
    Description: Guidelines to write the abstract can be found here: https://wiki.pangaea.de/wiki/Abstract Swath sonar bathymetry data using Kongsberg EM 122 multibeam echosounder was recorded during RV METEOR cruise M127 (WHAT, HOW). The cruise took place between 25.05.2016 and 28.06.2016 in the North Atlanic Ocean (WHEN). The survey data contain MBES measurements of the Fictional Bank canyon (working area). No bathymetric measurements of Fictional Bank canyon were found in international databases prior to the cruise (WHY). To enhance MBES data accuracy, two sound velocity profile casts were conducted in the vicinity of the working area prior to the survey using sound velocity profiler AML Oceanographic (WHAT, WHEN & WHY). After processing, these data were directly imported into the MBES Acquisition software Kongsberg SIS Seafloor Information System (WHEN & HOW). Raw data were being converted to MB-System format. Data were manually edited for false measurements and sound velocity (SVP) corrected using data acquired during the cruise. A raster was calculated and stored in GeoTIFF format.
    Keywords: Bathymetry; File content; File format; File name; File size; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; M127; M127_0_Underway-1_TEST_DO_NOT_USE; Meteor (1986); Multibeam; Multibeam Echosounder; Raster cell size; Swath bathymetry; Swath-mapping system Simrad EM122 (Kongsberg Maritime AS); TAG_field; Uniform resource locator/link to file; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 11 data points
    Location Call Number Expected Availability
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  • 36
    Publication Date: 2024-05-16
    Description: Guidelines to write the abstract can be found here: https://wiki.pangaea.de/wiki/Abstract Swath sonar bathymetry data using Kongsberg EM 122 multibeam echosounder was recorded during RV METEOR cruise M127 (WHAT, HOW). The cruise took place between 25.05.2016 and 28.06.2016 in the North Atlanic Ocean (WHEN). The survey data contain MBES measurements of the Fictional Bank canyon (working area). No bathymetric measurements of Fictional Bank canyon were found in international databases prior to the cruise (WHY). To enhance MBES data accuracy, two sound velocity profile casts were conducted in the vicinity of the working area prior to the survey using sound velocity profiler AML Oceanographic (WHAT, WHEN & WHY). After processing, these data were directly imported into the MBES Acquisition software Kongsberg SIS Seafloor Information System (WHEN & HOW). Minimum depth with 2840.21m and maximum depth 4370.62m was being recorded (note, depth value may change after applying bathymetric processing steps).
    Keywords: AML Oceanographic Plus X sound velocity probe (TEST, DO NOT USE); AML Plus X SVP; Bathymetry; Data file recording distance; Data file recording duration; Event label; File content; File format; File name; File size; LATITUDE; LONGITUDE; M127; M127_0_Underway-1_TEST_DO_NOT_USE; M127_564-0_TEST_DO_NOT_USE; M127_570-0_TEST_DO_NOT_USE; Meteor (1986); Multibeam; Multibeam Echosounder; Ship speed; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath bathymetry; Swath-mapping system Simrad EM122 (Kongsberg Maritime AS); TAG_field; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 100 data points
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  • 37
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE552 were processed to receive a validated master track which can be used as reference of further expedition data. Position sensors used during HE552 were the internal navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report found at EPIC repository hdl:10013/epic.e0df8912-61ee-4512-8de8-8c2210ba8a98. 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.
    Keywords: Calculated; Course; CT; DATE/TIME; GPF-19-2_057; HE552; HE552-track; Heincke; LATITUDE; LONGITUDE; North Sea; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 1800 data points
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  • 38
    Publication Date: 2024-05-16
    Description: Temperature is a major factor for the global biogeographic pattern of marine benthic algal species and their loss has serious consequences for ecosystems. Local adaptation and phenotypic plasticity of species can result in intraspecific differences of thermal tolerance, and population loss might not only occur at thermal trailing edges. Understanding the underlying physiological and biochemical response mechanisms is from major importance. Therefore, we run the same short-term experiment with field sporophytes of Saccharina latissima from five locations along the European coast (Spitsbergen, Bodø, Bergen, Helgoland, Locmariaquer). We increased each respective mean summer temperature (control, ±0°C) by +2, +4 and +6°C to mimic realistic local heatwave events. The maximum photosynthetic quantum yield of photosystem II (Fv/Fm; Imaging-PAM, Walz GmbH Mess- und Regeltechnik, Effeltrich, Germany) was monitored every day. For growth, the size of the algal discs was photographed every second day, analyzed with ImageJ (Version 1.52a). Absolute concentrations of all pigments were analyzed using a HPLC. Afterwards, the pool sizes, the de-epoxidation state of the xanthophyll cycle (DPS), and the ratios were calculated. The C:N ratio, total nitrogen and total carbon content were analyzed with an elemental analyzer. Mannitol concentration was also analyzed in a HPLC. Phlorotannins were analyzed using the photometric Folin-Ciocalteu method.
    Keywords: Antheraxanthin; Bergen_MULT; Bodo_MULT; Carbon, total; Carbon/Nitrogen ratio; Chlorophyll a; Chlorophyll c2; Elemental analyzer; Event label; Family; France; Fucoxanthin; growth; heatwave; Helgoland_MULT; Helgoland, North Sea; High Performance Liquid Chromatography (HPLC); ImageJ (Version 1.52a); Imaging-PAM (Walz GmbH Mess- und Regeltechnik, Effeltrich, Germany); kelp; latitude; Latitude of event; Location; Locmariaquer_MULT; Longitude of event; Mannitol; Maximum photochemical quantum yield of photosystem II; MULT; Multiple investigations; Nitrogen, total; Norway; Ny-Alesund_MULT; phlorotannins; Phlorotannins; Photosynthesis; Replicates; Size; Species; Spitsbergen; Treatment: temperature; Treatment: temperature amplitude; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 12312 data points
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  • 39
    Publication Date: 2024-05-16
    Description: Hydroacoustic raw data from the SO285 cruise aboard the RV Sonne in 2021 (20/08/2021 to 02/11/2021) from the Canary Islands to the Benguela Upwelling System. The hydroacoustics were used as underway measurements during the mooring rescue cruise in the South Atlantic. No biological reference sampling was done on this cruise. We used the Sonne's SIMRAD EK60 system with 4 frequencies: 18, 38, 120 and 200 kHz. A trigger box was used to avoid interferences with the multibeam echosounders and ADCP during the cruise. Pinging interval is thus less consistent. Ping duration was set to 1.024ms.
    Keywords: Benguela Upwelling System; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); DATE/TIME; Echosounder, Simrad, EK60; EK60; File format; Frequency; hydroacoustics; LATITUDE; LONGITUDE; Power, transmitted; Pulse length, transmitted; SO285; SO285_0_Underway-3; Sonne_2; South Atlantic; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; vertical migration
    Type: Dataset
    Format: text/tab-separated-values, 5544 data points
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  • 40
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Krüger, Lucas; Ramos, Jaime Albino; Xavier, José Caetano; Grémillet, David; González-Solís, Jacob; Kolbeinsson, Yann; Militão, Teresa; Navarro, Joan; Petry, Maria Virginia; Phillips, Richard A; Ramírez, Iván; Reyes-González, José Manuel; Ryan, Peter G; Sigurdsson, Ian A; Van Sebille, Erik; Wanless, Ross M; Paiva, Vitor Hugo Rodrigues (2017): Identification of candidate pelagic marine protected areas through a seabird seasonal-, multispecific- and extinction risk-based approach. Animal Conservation, 20(5), 409-424, https://doi.org/10.1111/acv.12339
    Publication Date: 2024-05-16
    Description: With increasing pressure on the oceans from environmental change, there has been a global call for improved protection of marine ecosystems through the implementation of marine protected areas (MPAs). Here, we used species distribution modelling (SDM) of tracking data from 14 seabird species to identify key marine areas in the southwest Atlantic Ocean, valuing areas based on seabird species occurrence, seasonality and extinction risk. We also compared overlaps between the outputs generated by the SDM and layers representing important human threats (fishing intensity, ship density, plastic and oil pollution, ocean acidification), and calculated loss in conservation value using fishing and ship density as cost layers. The key marine areas were located on the southern Patagonian Shelf, overlapping extensively with areas of high fishing activity, and did not change seasonally, while seasonal areas were located off south and southeast Brazil and overlapped with areas of high plastic pollution and ocean acidification. Non-seasonal key areas were located off northeast Brazil on an area of high biodiversity, and with relatively low human impacts. We found support for the use of seasonal areas depending on the seabird assemblage used, because there was a loss in conservation value for the seasonal compared to the non-seasonal approach when using 'cost' layers. Our approach, accounting for seasonal changes in seabird assemblages and their risk of extinction, identified additional candidate areas for incorporation in the network of pelagic MPAs.
    Type: Dataset
    Format: application/zip, 2 MBytes
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  • 41
    Publication Date: 2024-05-16
    Description: Hydroacoustic raw data from the SO285 cruise aboard the RV Sonne in 2021 (20/08/2021 to 02/11/2021) from the Canary Islands to the Benguela Upwelling System. The hydroacoustics were used as underway measurements during the mooring rescue cruise in the South Atlantic. No biological reference sampling was done on this cruise. We used the Sonne's SIMRAD EK60 system with 4 frequencies: 18, 38, 120 and 200 kHz. A trigger box was used to avoid interferences with the multibeam echosounders and ADCP during the cruise. Pinging interval is thus less consistent. Ping duration was set to 1.024ms.
    Keywords: Benguela Upwelling System; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); DATE/TIME; Echosounder, Simrad, EK60; EK60; File format; Frequency; hydroacoustics; LATITUDE; LONGITUDE; Power, transmitted; Pulse length, transmitted; SO285; SO285_0_Underway-3; Sonne_2; South Atlantic; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; vertical migration
    Type: Dataset
    Format: text/tab-separated-values, 4296 data points
    Location Call Number Expected Availability
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  • 42
    Publication Date: 2024-05-16
    Description: Hydroacoustic raw data from the SO283 cruise aboard the RV Sonne in 2021 (19/03/2021 to 25/05/2021) from the Canary Islands to the Benguela Upwelling System. The hydroacoustics were used as underway measurements during the mooring rescue cruise in the South Atlantic. No biological reference sampling was done on this cruise. We used the Sonne's SIMRAD EK60 system with 4 frequencies: 18, 38, 120 and 200 kHz. The data was limited to 1500m depth. A trigger box was used to avoid interferences with the multibeam echosounders and ADCP during the cruise. Pinging interval is thus less consistent. Ping duration was set to 1.024ms.
    Keywords: Benguela Upwelling System; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); DATE/TIME; Echosounder, Simrad, EK60; EK60; File format; Frequency; hydroacoustics; LATITUDE; LONGITUDE; Power, transmitted; Pulse length, transmitted; SO283; SO283_0_Underway-2; Sonne_2; South Atlantic; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; vertical migration
    Type: Dataset
    Format: text/tab-separated-values, 3600 data points
    Location Call Number Expected Availability
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  • 43
    Publication Date: 2024-05-16
    Description: Hydroacoustic raw data from the SO283 cruise aboard the RV Sonne in 2021 (19/03/2021 to 25/05/2021) from the Canary Islands to the Benguela Upwelling System. The hydroacoustics were used as underway measurements during the mooring rescue cruise in the South Atlantic. No biological reference sampling was done on this cruise. We used the Sonne's SIMRAD EK60 system with 4 frequencies: 18, 38, 120 and 200 kHz. The data was limited to 1500m depth. A trigger box was used to avoid interferences with the multibeam echosounders and ADCP during the cruise. Pinging interval is thus less consistent. Ping duration was set to 1.024ms.
    Keywords: Benguela Upwelling System; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); DATE/TIME; Echosounder, Simrad, EK60; EK60; File format; Frequency; hydroacoustics; LATITUDE; LONGITUDE; Power, transmitted; Pulse length, transmitted; SO283; SO283_0_Underway-2; Sonne_2; South Atlantic; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; vertical migration
    Type: Dataset
    Format: text/tab-separated-values, 7092 data points
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  • 44
    Publication Date: 2024-05-16
    Description: Hydroacoustic raw data from the M153 cruise aboard the RV Meteor in 2019 (15/02/2019 to 27/03/2019) to the Benguela Upwelling System. The hydroacoustics were used to observe the distribution of krill, zooplankton and pelagic fish up to the mesopelagic zone for the project TRAFFIC. We used a SIMRAD EK80 system with a transportable SIMRAD WBT Mini and combined transducer with 38 and 200 kHz. Data deeper than 750m has been identified as range limit and excluded.
    Keywords: Benguela Upwelling System; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); DATE/TIME; Echosounder, Simrad EK80; EK60; EK80; File format; Frequency; hydroacoustics; LATITUDE; LONGITUDE; M153; M153_0_underway-3; Meteor (1986); Power, transmitted; Pulse length, transmitted; South Atlantic; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; vertical migration
    Type: Dataset
    Format: text/tab-separated-values, 35608 data points
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  • 45
    Publication Date: 2024-05-16
    Description: Hydroacoustic raw data from the M153 cruise aboard the RV Meteor in 2019 (15/02/2019 to 27/03/2019) to the Benguela Upwelling System. The hydroacoustics were used to observe the distribution of krill, zooplankton and pelagic fish up to the mesopelagic zone for the project TRAFFIC. We used a SIMRAD EK80 system with a transportable SIMRAD WBT Mini and combined transducer with 38 and 200 kHz. Data deeper than 750m has been identified as range limit and excluded.
    Keywords: Benguela Upwelling System; Binary Object; DATE/TIME; Echosounder, Simrad EK80; EK60; EK80; File format; Frequency; hydroacoustics; LATITUDE; LONGITUDE; M153; M153_0_underway-3; Meteor (1986); Power, transmitted; Pulse length, transmitted; South Atlantic; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; vertical migration
    Type: Dataset
    Format: text/tab-separated-values, 76061 data points
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  • 46
    Publication Date: 2024-05-16
    Description: Biomass of two seize fractions of microplankton was measured of samples taken during cruise M153 in February and March 2019 by a Multinet Midi (55 µm mesh size, 5 depths). The sampling took place in the northern and southern Benguela upwelling system in the context of the project TRAFFIC (Trophic TRAnsfer eFFICiency in the Benguela Current). TRAFFIC aims to enlighten the energy transfer through the food webs of the northern and southern subsystems of the Benguela upwelling system.
    Keywords: Benguela Upwelling System; Biomass; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; Longitude of event; M153; M153_11-3; M153_12-3; M153_13-3; M153_14-3; M153_15-4; M153_16-4; M153_17-4; M153_18-15; M153_18-4; M153_20-2; M153_2-1; M153_22-2; M153_23-3; M153_24-2; M153_25-2; M153_29-2; M153_32-5; M153_3-3; M153_34-3; M153_35-10; M153_35-3; M153_37-3; M153_38-3; M153_39-21; M153_39-9; M153_40-5; M153_41-3; M153_42-3; M153_43-3; M153_44-3; M153_45-3; M153_46-4; M153_48-3; M153_5-3; M153_54-4; M153_6-3; M153_7-14; M153_7-24; M153_7-4; M153_8-3; Meteor (1986); Microplankton, biomass, wet mass; MSN; Multiple opening/closing net; Sample code/label; Size fraction 〈100 µm; Size fraction 〉200 µm; Size fraction 100-200 µm; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 1140 data points
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  • 47
    Publication Date: 2024-05-16
    Description: Stable isotopes of d13C and d15N of two size fractions of microplankton were analyzed of samples taken during cruise M153 in February and March 2019 by an Apstein Net (20 µm mesh size). The sampling took place in the northern and southern Benguela upwelling system in the context of the project TRAFFIC (Trophic TRAnsfer eFFICiency in the Benguela Current). TRAFFIC aims to enlighten the energy transfer through the food webs of the northern and southern subsystems of the Benguela upwelling system. Stable isotopes help to determine the trophic level of organisms in the studied food web.
    Keywords: Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Gear; Latitude of event; Longitude of event; M153; M153_18-26; M153_18-33; M153_20-4; M153_22-4; M153_23-3; M153_23-4; M153_24-5; M153_25-5; M153_29-4; M153_32-7; M153_35-13; M153_35-5; Meteor (1986); Microplankton; MSN; Multiple opening/closing net; Sample code/label; Size fraction 〈100 µm; Size fraction 100-200 µm; Stable isotopes; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; δ13C, microplankton; δ15N, microplankton
    Type: Dataset
    Format: text/tab-separated-values, 383 data points
    Location Call Number Expected Availability
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  • 48
    Publication Date: 2024-05-16
    Description: Stable isotopes of d13C and d15N of two size fractions of microplankton were analyzed of samples taken during cruise SO283 in April/May 2021 by an Apstein Net (20 µm mesh size). The sampling took place in the northern and southern Benguela upwelling system in the context of the project TRAFFIC (Trophic TRAnsfer eFFICiency in the Benguela Current). TRAFFIC aims to enlighten the energy transfer through the food webs of the northern and southern subsystems of the Benguela upwelling system. Stable isotopes help to determine the trophic level of organisms in the studied food web.
    Keywords: Benguela Upwelling System; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; ELEVATION; Event label; LATITUDE; LONGITUDE; Microplankton; PLA; Plankton net; Sample code/label; SO283; SO283_1-2; SO283_12-3; SO283_15-2; SO283_16-2; SO283_18-2; SO283_20-2; SO283_21-2; SO283_2-2; SO283_22-2; SO283_25-2; SO283_27-2; SO283_28-2; SO283_29-2; SO283_31-2; SO283_3-2; SO283_36-2; SO283_4-2; SO283_43-2; SO283_49-2; SO283_58-2; SO283_60-2; SO283_66-2; SO283_68-2; SO283_7-2; SO283_75-2; SO283_8-3; SO283_99-2; Sonne_2; South Atlantic Ocean; stabe isotopes; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; δ13C, microplankton; δ15N, microplankton
    Type: Dataset
    Format: text/tab-separated-values, 134 data points
    Location Call Number Expected Availability
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  • 49
    Publication Date: 2024-05-16
    Description: Biomass of two size fractions of microplankton were analyzed of samples taken during cruise SO283 in April/May 2021by an Apstein Net (20 µm mesh size). The sampling took place in the northern and southern Benguela upwelling system in the context of the project TRAFFIC (Trophic TRAnsfer eFFICiency in the Benguela Current). TRAFFIC aims to enlighten the energy transfer through the food webs of the northern and southern subsystems of the Benguela upwelling system.
    Keywords: Benguela Current; Biomass; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; ELEVATION; Event label; LATITUDE; LONGITUDE; Microplankton; Microplankton, biomass, wet mass; Microplankton biomass, wet weight; PLA; Plankton net; Sample code/label; SO283; SO283_1-2; SO283_12-3; SO283_15-2; SO283_16-2; SO283_18-2; SO283_20-2; SO283_21-2; SO283_2-2; SO283_22-2; SO283_23-2; SO283_25-2; SO283_27-2; SO283_28-2; SO283_29-2; SO283_31-2; SO283_3-2; SO283_36-2; SO283_4-2; SO283_43-2; SO283_49-2; SO283_58-2; SO283_60-2; SO283_66-2; SO283_68-2; SO283_7-2; SO283_75-2; SO283_8-3; SO283_99-2; Sonne_2; South Atlantic Ocean; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; Upwelling
    Type: Dataset
    Format: text/tab-separated-values, 112 data points
    Location Call Number Expected Availability
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  • 50
    Publication Date: 2024-05-16
    Description: Temperature is a major driver for the geographical distribution of organisms, such as the foundation kelp species Saccharina latissima. Globally rising sea surface temperatures and intensification of marine heatwaves have already led to local loss of kelp populations. We investigated temporal variations in the thermal susceptibility of S. latissima. Therefore, we assessed the stress responses of field sporophytes sampled from Helgoland (German Bight) to an experimental heat wave scenario in June 2018, August 2018, and August 2019. The experiment in June 2018 was conducted by Diehl et al. (2021a) and the respective dataset (Diehl et al. 2021b, https://doi.org/10.1594/PANGAEA.931637) was re-evaluated for this study. Treatment temperatures (18, 20, 22, 24 °C) were based on 18 °C summer mean sea surface temperature on Helgoland as control, and Δ+2, Δ+4, Δ+6 °C as temperature-amplitude treatments, mimicking marine heatwaves. After a three-days wound healing phase, seven days of temperature acclimation (day 0-7) and seven days of temperature treatment (day 8-14) followed. The survival, growth and maximum photosynthetic quantum yield (Fv/Fm; June 2018/August 2018: ImagingPAM, Walz Imaging PAM Maxi Version M-series; August 2019: Portable Chlorophyll Fluorometer PAM-2100, Heinz Walz GmbH, Effeltrich, Germany) were measured on day 0 and day 14. To highlight changes as response to the experimental heat wave, physiological parameters were shown as percentage of the initial values. Absolute concentrations of pigments were analyzed using a HPLC. Afterwards, accessory pigment (Acc) and xanthophyll cycle pigment (VAZ) concentration, as well as the de-epoxidation state of the xanthophyll cycle (DPS) and ratios were calculated.
    Keywords: Acclimation; after Colombo-Pallotta et al. (2006); Antheraxanthin, per dry mass; Area, algal disc, relative; Calculated; Chlorophyll a, per dry mass; Chlorophyll c, per dry mass; Climate change; DATE/TIME; De-expoxidation state of xanthophyll cycle; DIVER; Event label; Experiment day; Family; Fucoxanthin, per dry mass; Fv/Fm; Genus, unique identification (Semantic URI); Genus, unique identification (URI); growth; Helgoland_Slatissima_2018a; Helgoland_Slatissima_2018b; Helgoland_Slatissima_2019; Helgoland, North Sea; High Performance Liquid Chromatography (HPLC); Laboratory experiment; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, relative; Measured using software ImageJ; pigments; Pigments, accessory, per dry mass; Pigments, accessory/chlorophyll a ratio; Pigments, violaxanthin-xanthophyll-cycle/chlorophyll a ratio; Pulse amplitude modulation (PAM) fluorometry; Replicate; Saccharina latissima; Sampling by diver; Size, algal disc; Species; Survival; Temperature, water; Temperature tolerance; Type of study; Violaxanthin, per dry mass; Violaxanthin + Antheraxanthin + Zeaxanthin, per dry mass; Visual observation; Zeaxanthin, per dry mass
    Type: Dataset
    Format: text/tab-separated-values, 1683 data points
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  • 51
    Publication Date: 2024-05-16
    Description: Biomass of two seize fractions of microplankton was measured of samples taken during cruise SO2853 in September/October 2021 using a Multinet Midi (55 µm mesh size, 5 depths). The sampling took place in the northern and southern Benguela upwelling system in the context of the project TRAFFIC (Trophic TRAnsfer eFFICiency in the Benguela Current). TRAFFIC aims to enlighten the energy transfer through the food webs of the northern and southern subsystems of the Benguela upwelling system.
    Keywords: Benguela Upwelling System; Biomass; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; Longitude of event; Microplankton; Microplankton, biomass, wet mass; Microplankton biomass, wet weight; MSN; Multiple opening/closing net; Sample code/label; SO285; SO285_100-3; SO285_102-5; SO285_105-3; SO285_108-4; SO285_110-5; SO285_117-2; SO285_119-2; SO285_120-3; SO285_122-3; SO285_126-3; SO285_130-3; SO285_131-3; SO285_134-3; SO285_138-3; SO285_139-3; SO285_141-3; SO285_144-3; SO285_148-3; SO285_22-6; SO285_27-3; SO285_36-3; SO285_41-3; SO285_44-3; SO285_45-3; SO285_46-3; SO285_48-2; SO285_53-3; SO285_58-6; SO285_67-3; SO285_70-2; SO285_71-2; SO285_74-3; SO285_75-3; SO285_80-3; SO285_85-6; SO285_88-4; SO285_92-3; Sonne_2; South Atlantic Ocean; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 880 data points
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  • 52
    Publication Date: 2024-05-16
    Description: We estimated monthly mean basal melt rates in the Lagrangian frame from autonomous phase-sensitive radar (ApRES) measurements at the center of Ekström Ice Shelf, Antarctica (70.82°S, 8.73°W) between April 2020 and December 2022. The data we recorded with a measurement interval of one hour. Basal melt rates are based on the analysis of firn densification, strain thinning, and the change in ice thickness from the determination of vertical displacements. We calculated the mean basal melt rate as well as the standard deviation, and maximum for each month.
    Keywords: Antarctica; ANT-Land_2021_MIMO-EIS; ANT-Land_2022_MIMO-EIS; ANT-Land_2023_MIMO-EIS; ApRES; Autonomous phase-sensitive radio-echo sounder; Basal melt rates; DATE/TIME; EIS-8_ApRES_2020; EIS-8_ApRES_2021; EIS-8_ApRES_2022; Ekström; Ekström Ice Shelf; ice shelf basal melting; Melt rate; Melt rate, maximum; Melt rate, standard deviation; Monitoring Melt where Ice Meets Ocean; NEUMAYER III
    Type: Dataset
    Format: text/tab-separated-values, 99 data points
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  • 53
    Publication Date: 2024-05-16
    Description: Multibeam data were collected with RV Polarstern along the route of cruise PS139/1 and data acquisition was continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD data and synthetic profiles from World Ocean Atlas 18. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne Reson multibeam processing format (.s7k) were recorded with Teledyne PDS software. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Polarstern; POLMAR; PS139/1; PS139/1_0_Underway-28; PS139/1_1-1; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Atlas Hydrosweep DS-3
    Type: Dataset
    Format: text/tab-separated-values, 3003 data points
    Location Call Number Expected Availability
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  • 54
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    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO298 were processed to receive a validated master track which can be used as reference of further expedition data. During SO298 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.
    Keywords: 1 sec resolution; CT; DAM_Underway; DAM Underway Research Data; GEOTRACES GP11; SO298; SO298-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 184.5 MBytes
    Location Call Number Expected Availability
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  • 55
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO295 were processed to receive a validated master track which can be used as reference of further expedition data. During SO295 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.
    Keywords: Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; Nodule Monit. II; SO295; SO295-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 14972 data points
    Location Call Number Expected Availability
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  • 56
    Publication Date: 2024-05-16
    Description: Multibeam data were collected with RV Polarstern along the route of cruise PS139/2 and data acquisition was continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD data and synthetic profiles from World Ocean Atlas 18. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne Reson multibeam processing format (.s7k) were recorded with Teledyne PDS software. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Polarstern; PS139/2; PS139/2_0_Underway-28; PS139/2_10-1; PS139/2_1-1; PS139/2_11-1; PS139/2_12-1; PS139/2_2-1; PS139/2_3-1; PS139/2_4-1; PS139/2_5-1; PS139/2_6-1; PS139/2_7-1; PS139/2_8-1; PS139/2_9-1; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Atlas Hydrosweep DS-3
    Type: Dataset
    Format: text/tab-separated-values, 6499 data points
    Location Call Number Expected Availability
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  • 57
    facet.materialart.
    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO298 were processed to receive a validated master track which can be used as reference of further expedition data. During SO298 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.
    Keywords: Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; GEOTRACES GP11; LATITUDE; LONGITUDE; SO298; SO298-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 13918 data points
    Location Call Number Expected Availability
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  • 58
    Publication Date: 2024-05-16
    Description: Kelps (Phaeophyceae, Laminariales) function as ecosystem engineers along many Arctic rocky shores. With ongoing climate change, the frequency and intensity of marine heatwaves are increasing. Further, extensive meltwater plumes darken Arctic fjords. It was the aim of this study to analyse the future development of Arctic kelp forest ecosystems. We conducted a laboratory experiment, in which we determined physiological and biochemical responses of Agarum clathratum and Saccharina latissima to a marine heatwave scenario (4, 7, and 10°C) being acclimated to either low-light (3 µmol photons m²/s) or in-situ-light (120 µmol photons m²/s) conditions. Grown sporophytes were sampled in Nuup Kangerlua, Greenland from a sampling depth between 7-10 m. Meristematic discs were cut (diameter 2 cm) and distributed equally between treatments and replicates. The discs acclimated to the light conditions for two days, before the 12 days heatwave scenario started, followed by a five-day recovery period. Maximum quantum yield of photosystem II (Fv/Fm) measurements were measured every second day, using a pulse amplitude modulated fluorometer (Portable Chlorophyll Fluorometer PAM-2100, Heinz Walz GmbH, Effeltrich, Germany). The following kelp response parameters were measured before (day 6), at the peak (day 18) and after (day 23) the experimental heatwave. Growth was analysed by measuring the discs dry weight (g). Rapid light curves were measured with a pulse amplitude modulated fluorometer (Portable Chlorophyll Fluorometer PAM-2100, Heinz Walz GmbH, Effeltrich, Germany), using irradiance steps between 0-611 µmol photons m²/s to derive photosynthesis vs. irradiance curve parameters (Pmax, alpha, EK). Dark respiration and net photosynthetic rates were measured with a 4-channel optode set-up (FireStingO2 Fibre-Optic Oxygen Meter FSO2-C4, PyroScience Sensor technology, Aachen, Germany) by analysing the oxygen evolution in response to different light intensities within a 25 ml Schott bottle, each containing meristematic discs. Pigment content was analysed with a High-Performance Liquid Chromatograph (HPLC, LaChromElite® system, L-2200 autosampler (chilled), DA-detetctor L-2450; VWR-Hitachi International GmbH, Darmstadt, Germany). Total phlorotannin concentration was analysed with the Folin-Ciocalteau assay, using a phloroglucinol dilution series (C6H6O3, Sigma-Aldrich: 0–1000 µg/ml).
    Keywords: Acclimatisation; Agarum clathratum; Analysis date/time, experiment; Antheraxanthin, per dry mass; Arctic Biodiversity & Livelihoods; beta-Carotene, per dry mass; Biomass, dry mass; Biomass, wet mass; Chlorophyll a, per dry mass; Chlorophyll c, per dry mass; Darkening; Day of experiment; De-expoxidation state of xanthophyll cycle; FACE-IT; Fucoxanthin, per dry mass; Greenland; High Performance Liquid Chromatography (HPLC); Laboratory experiment; Light saturation; marine heatwaves (MHWs); Maximum photochemical quantum yield of photosystem II, relative; Maximum potential photosynthesis; Nuup_Kangerlua_Lab_Exp; Optical Oxygen Meter - FireSting-O2, PyroScience GmbH, ASE 350; Phase; Phlorotannins, per dry mass; Photosynthetic quantum efficiency; Pigments, accessory, per dry mass; Pigments, xanthophyll-cycle/chlorophyll a ratio; Pigments/chlorophyll a ratio; Portable Chlorophyll Flourometer, Heinz Walz GmbH, Effeltrich, Germany, PAM-2100; Replicate; Respiration rate, oxygen; Saccharina latissima; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature, water; Treatment: light intensity; Treatment: temperature; Type of study; Violaxanthin, per dry mass; Xanthophyll-cycle pigments, per dry mass; Zeaxanthin, per dry mass
    Type: Dataset
    Format: text/tab-separated-values, 8154 data points
    Location Call Number Expected Availability
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  • 59
    Publication Date: 2024-05-16
    Keywords: 65-485A; Albite; Aluminium oxide; Anorthite; Apatite; Barium; Barium/Strontium ratio; Barium/Zirconium ratio; Calcium oxide; Cerium; Cerium/Yttrium ratio; Chromium; CIPW Norm; Deep Sea Drilling Project; DEPTH, sediment/rock; Diopside; DRILL; Drilling/drill rig; DSDP; Gallium; Glomar Challenger; Hypersthene; Ilmenite; Iron oxide, Fe2O3; Iron oxide/Magnesium oxide ratio; Lanthanum; Leg65; Lithologic unit/sequence; Loss on ignition; Magnesium oxide; Magnetite; Manganese oxide; Neodymium; Nickel; Niobium; North Pacific/Gulf of California/SEDIMENT POND; Olivine; Orthoclase; Phosphorus pentoxide; Potassium/Rubidium ratio; Potassium oxide; Rubidium; Sample code/label; Silicon dioxide; Sodium oxide; Strontium; Titanium/Zirconium ratio; Titanium dioxide; X-ray fluorescence (XRF); Yttrium; Zinc; Zirconium; Zirconium/Niobium ratio
    Type: Dataset
    Format: text/tab-separated-values, 373 data points
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  • 60
    Publication Date: 2024-05-16
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO298 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 55 bins, covering the depth range between 54.0 m and 1782.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data / ping ensembles were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.2504° +/- 0.4404°) and scale factor (1.0012 +/- 0.0095) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 2.2 m/s, rms(UC_z) or rms(VC_z) 〉 0.2.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; GEOTRACES GP11; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO298; SO298_0_Underway-2; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 14441815 data points
    Location Call Number Expected Availability
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  • 61
    Publication Date: 2024-05-16
    Keywords: Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Carbon, inorganic, particulate; coccolith-CaCO₃; Coccolithophores; Coccolithophoridae carbon, flux; Coccoliths, other; Coccoliths, total; DATE/TIME; Date/time end; Date/time start; Emiliania huxleyi; Emiliania huxleyi, flux; Florisphaera profunda; Florisphaera profunda, flux; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; Gephyrocapsa muellerae; Gephyrocapsa muellerae, flux; Gephyrocapsa oceanica; Gephyrocapsa oceanica, flux; Gladiolithus flabellatus; Gladiolithus flabellatus, flux; Helicosphaera spp.; Helicosphaera spp., flux; M4U; M89; M89_1544_M4-4_U; Meteor (1986); particle fluxes; PIC/POC; Reticulofenestra sessilis; Reticulofenestra sessilis, flux; Rhabdosphaera spp.; Rhabdosphaera spp., flux; Sample code/label; Season; Sediment traps; South Atlantic Ocean; Sum; TRAFFIC; Trap, sediment; TRAPS; Trophic Transfer Efficiency in the Benguela Current; Tropical North Atlantic; Umbellosphaera spp.; Umbellosphaera spp., flux; Umbilicosphaera spp.; Umbilicosphaera spp., flux
    Type: Dataset
    Format: text/tab-separated-values, 1035 data points
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  • 62
    Publication Date: 2024-05-16
    Keywords: Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Carbon, inorganic, particulate; coccolith-CaCO₃; Coccolithophores; Coccolithophoridae carbon, flux; Coccoliths, other; Coccoliths, total; DATE/TIME; Date/time end; Date/time start; Emiliania huxleyi; Emiliania huxleyi, flux; Florisphaera profunda; Florisphaera profunda, flux; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; Gephyrocapsa muellerae; Gephyrocapsa muellerae, flux; Gephyrocapsa oceanica; Gephyrocapsa oceanica, flux; Gladiolithus flabellatus; Gladiolithus flabellatus, flux; Helicosphaera spp.; Helicosphaera spp., flux; M2U; M89; M89_1532_M2-3_U; Meteor (1986); particle fluxes; PIC/POC; Reticulofenestra sessilis; Reticulofenestra sessilis, flux; Rhabdosphaera spp.; Rhabdosphaera spp., flux; Sample code/label; Season; Sediment traps; South Atlantic Ocean; Sum; TRAFFIC; Trap, sediment; TRAPS; Trophic Transfer Efficiency in the Benguela Current; Tropical North Atlantic; Umbellosphaera spp.; Umbellosphaera spp., flux; Umbilicosphaera spp.; Umbilicosphaera spp., flux
    Type: Dataset
    Format: text/tab-separated-values, 1034 data points
    Location Call Number Expected Availability
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  • 63
    Publication Date: 2024-05-16
    Keywords: Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Calciosolenia spp.; Calciosolenia spp., flux; coccolithophore; DATE/TIME; Date/time end; Date/time start; export fluxes; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; M2U; M89; M89_1532_M2-3_U; Meteor (1986); Mixed layer depth; Month; Sample code/label; Season; South Atlantic Ocean; Syracosphaera spp.; Syracosphaera spp., flux; TRAFFIC; Trap, sediment; TRAPS; Trophic Transfer Efficiency in the Benguela Current; western tropical North Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
    Location Call Number Expected Availability
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  • 64
    Publication Date: 2024-05-16
    Keywords: 13M1; 64PE378_13M1-3; Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Calciosolenia spp.; Calciosolenia spp., flux; Chlorophyll a; coccolithophore; Coccolithophoridae cell, flux; Coccoliths, other; Coccoliths, total; DATE/TIME; Date/time end; Date/time start; DEPTH, water; Emiliania huxleyi; Emiliania huxleyi, flux; export fluxes; Florisphaera profunda; Florisphaera profunda, flux; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; Gephyrocapsa muellerae; Gephyrocapsa muellerae, flux; Gephyrocapsa oceanica; Gephyrocapsa oceanica, flux; Gladiolithus flabellatus; Gladiolithus flabellatus, flux; Helicosphaera spp.; Helicosphaera spp., flux; Mixed layer depth; Month; Mooring (long time); MOORY; Precipitation; Reticulofenestra sessilis; Reticulofenestra sessilis, flux; Rhabdosphaera spp.; Rhabdosphaera spp., flux; Sample code/label; Season; Sea surface temperature; South Atlantic Ocean; Syracosphaera spp.; Syracosphaera spp., flux; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; Umbellosphaera spp.; Umbellosphaera spp., flux; Umbilicosphaera spp.; Umbilicosphaera spp., flux; western tropical North Atlantic; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1007 data points
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  • 65
    Publication Date: 2024-05-16
    Keywords: Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Calciosolenia spp.; Calciosolenia spp., flux; coccolithophore; DATE/TIME; Date/time end; Date/time start; export fluxes; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; M4U; M89; M89_1544_M4-4_U; Meteor (1986); Mixed layer depth; Month; Sample code/label; Season; South Atlantic Ocean; Syracosphaera spp.; Syracosphaera spp., flux; TRAFFIC; Trap, sediment; TRAPS; Trophic Transfer Efficiency in the Benguela Current; western tropical North Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
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  • 66
    Publication Date: 2024-05-16
    Keywords: Ablation area; Ablation area ratio; Accumulation area; Accumulation area ratio; Austria; Climate change; DATE/TIME; Date/time end; Equilibrium line altitude; GLAC; glacier; LTER; mass balance; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Monitoring; Sampling/measurements on glacier; Sonnblickkees; Specific mass balance; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; SSK; Stubacher Sonnblick, Hohe Tauern, Austria; Stubacher Sonnblickkees; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 67
    Publication Date: 2024-05-16
    Keywords: Ablation area; Ablation area ratio; Accumulation area; Accumulation area ratio; Austria; Climate change; DATE/TIME; Date/time end; Equilibrium line altitude; GLAC; glacier; LTER; mass balance; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Monitoring; Sampling/measurements on glacier; Sonnblickkees; Specific mass balance; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; SSK; Stubacher Sonnblick, Hohe Tauern, Austria; Stubacher Sonnblickkees; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 68
    Publication Date: 2024-05-16
    Keywords: Ablation area; Ablation area ratio; Accumulation area; Accumulation area ratio; Austria; Climate change; DATE/TIME; Date/time end; Equilibrium line altitude; GLAC; glacier; LTER; mass balance; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Monitoring; Sampling/measurements on glacier; Sonnblickkees; Specific mass balance; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; SSK; Stubacher Sonnblick, Hohe Tauern, Austria; Stubacher Sonnblickkees; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 69
    Publication Date: 2024-05-16
    Keywords: Ablation area; Ablation area ratio; Accumulation area; Accumulation area ratio; Austria; Climate change; DATE/TIME; Date/time end; Equilibrium line altitude; GLAC; glacier; LTER; mass balance; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Monitoring; Sampling/measurements on glacier; Sonnblickkees; Specific mass balance; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; SSK; Stubacher Sonnblick, Hohe Tauern, Austria; Stubacher Sonnblickkees; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 70
    Publication Date: 2024-05-16
    Keywords: Ablation area; Ablation area ratio; Accumulation area; Accumulation area ratio; Austria; Climate change; DATE/TIME; Date/time end; Equilibrium line altitude; GLAC; glacier; LTER; mass balance; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Monitoring; Sampling/measurements on glacier; Sonnblickkees; Specific mass balance; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; SSK; Stubacher Sonnblick, Hohe Tauern, Austria; Stubacher Sonnblickkees; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 71
    Publication Date: 2024-05-16
    Keywords: Ablation area; Ablation area ratio; Accumulation area; Accumulation area ratio; Austria; Climate change; DATE/TIME; Date/time end; Equilibrium line altitude; GLAC; glacier; LTER; mass balance; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Monitoring; Sampling/measurements on glacier; Sonnblickkees; Specific mass balance; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; SSK; Stubacher Sonnblick, Hohe Tauern, Austria; Stubacher Sonnblickkees; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 72
    Publication Date: 2024-05-16
    Keywords: 63-469; 63-470A; 63-472; Aluminium oxide; Calcium oxide; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Electron microprobe (EMP); Elevation of event; Event label; Glomar Challenger; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Latitude of event; Leg63; Longitude of event; Magnesium oxide; Manganese oxide; North Pacific/ABYSSAL FLOOR; North Pacific/ESCARPMENT; North Pacific/PLATEAU; Potassium oxide; Sample code/label; Silicon dioxide; Sodium oxide; Titanium dioxide; Total
    Type: Dataset
    Format: text/tab-separated-values, 252 data points
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  • 73
    Publication Date: 2024-05-16
    Keywords: Benguela Upwelling System; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M153; M153_7-13; M153_7-19; M153_7-2; M153_7-22; M153_7-8; Meteor (1986); nutrient trapping; Oxygen; oxygen minimum zones; Salinity; Temperature, water; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current
    Type: Dataset
    Format: text/tab-separated-values, 101958 data points
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  • 74
    Publication Date: 2024-05-16
    Keywords: 13M1; 64PE378_13M1-3; Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Carbon, inorganic, particulate; coccolith-CaCO₃; Coccolithophores; Coccolithophoridae carbon, flux; Coccoliths, other; Coccoliths, total; DATE/TIME; Date/time end; Date/time start; Emiliania huxleyi; Emiliania huxleyi, flux; Florisphaera profunda; Florisphaera profunda, flux; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; Gephyrocapsa muellerae; Gephyrocapsa muellerae, flux; Gephyrocapsa oceanica; Gephyrocapsa oceanica, flux; Gladiolithus flabellatus; Gladiolithus flabellatus, flux; Helicosphaera spp.; Helicosphaera spp., flux; Mooring (long time); MOORY; particle fluxes; PIC/POC; Reticulofenestra sessilis; Reticulofenestra sessilis, flux; Rhabdosphaera spp.; Rhabdosphaera spp., flux; Sample code/label; Season; Sediment traps; South Atlantic Ocean; Sum; TRAFFIC; Trophic Transfer Efficiency in the Benguela Current; Tropical North Atlantic; Umbellosphaera spp.; Umbellosphaera spp., flux; Umbilicosphaera spp.; Umbilicosphaera spp., flux
    Type: Dataset
    Format: text/tab-separated-values, 1078 data points
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  • 75
    Publication Date: 2024-05-16
    Keywords: Calcidiscus leptoporus; Calcidiscus leptoporus, flux; Calcium carbonate, flux; Carbon, inorganic, particulate; Carbon, organic, particulate, flux; CB_trap; coccolith-CaCO₃; Coccolithophores; Coccolithophoridae carbon, flux; Coccoliths, other; Coccoliths, total; DATE/TIME; Date/time end; Date/time start; Emiliania huxleyi; Emiliania huxleyi, flux; Florisphaera profunda; Florisphaera profunda, flux; Gephyrocapsa ericsonii; Gephyrocapsa ericsonii, flux; Gephyrocapsa muellerae; Gephyrocapsa muellerae, flux; Gephyrocapsa oceanica; Gephyrocapsa oceanica, flux; Gladiolithus flabellatus; Gladiolithus flabellatus, flux; Helicosphaera spp.; Helicosphaera spp., flux; Indeterminata, flux; off Cap Blanc; Opal, flux; Organic matter, flux; particle fluxes; PIC/POC; Reticulofenestra sessilis; Reticulofenestra sessilis, flux; Rhabdosphaera spp.; Rhabdosphaera spp., flux; Sample code/label; Season; Sediment traps; Sum; TRAFFIC; Trap; TRAP; Trophic Transfer Efficiency in the Benguela Current; Tropical North Atlantic; Umbellosphaera spp.; Umbellosphaera spp., flux; Umbilicosphaera spp.; Umbilicosphaera spp., flux
    Type: Dataset
    Format: text/tab-separated-values, 1094 data points
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  • 76
    Publication Date: 2024-05-16
    Keywords: AC; Aircraft; DATE/TIME; Flight altitude; LATITUDE; LONGITUDE; P5_240_MullerIceCap_2023; P5_240_MullerIceCap_2023_202305080101; POLAR 5; The Mueller Ice Cap; WGS84, onbord GPS, unprocessed, and uncorrected for sensor position
    Type: Dataset
    Format: text/tab-separated-values, 842 data points
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  • 77
    Publication Date: 2024-05-16
    Keywords: AC; Aircraft; DATE/TIME; Flight altitude; LATITUDE; LONGITUDE; P5_240_MullerIceCap_2023; P5_240_MullerIceCap_2023_202304260101; POLAR 5; The Mueller Ice Cap; WGS84, onbord GPS, unprocessed, and uncorrected for sensor position
    Type: Dataset
    Format: text/tab-separated-values, 284 data points
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  • 78
    Publication Date: 2024-05-16
    Description: This dataset provides concentrations of n-alkanes for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Concentrations of n-alkanes (ug/g), the Carbon Preference Index (CPI) and the Average Chain Length C21-C33 (ACL) are all presented against both depth (m) and age (cal yr. BP). The n-alkane concentration data provides information on the Lateglacial dynamics of local plant productivity, whereas the ACL and CPI of the sediment samples were determined to estimate origin and preservation condition. A total of 167 samples from the Lateglacial section of the core were processed using a Dionex 350 accelerated solvent extraction (ASE) system. Solid phase extraction (SPE) was used to separate the extracts into an aliphatic, aromatic and alcohol/fatty acid fraction. Separation was achieved by loading the extracts on activated silica columns and eluting each fraction with hexane, hexane/DCM (1:1 v/v) and DCM/MeOH (9:1 v/v) successively. The aliphatic fraction, containing the n-alkanes, was analyzed by gas chromatography-mass spectrometry (GC/MS). The peak areas for each n-alkane homologue were compared to the peak areas from an internal standard (5α-androstane) and an external n-alkane standard mixture for absolute quantification. We refer to Rach et al. (2020) for further details on the exact analytical setup. All measurements were performed in the laboratories of GeoForschungsZentrum Potsdam.
    Keywords: AGE; alkanes; Average chain length, n-Alkanes, C21-C33; Biodiversity; Carbon Preference Index, n-Alkanes; Chironomidae; DEPTH, sediment/rock; deuterium; diatoms; ecosystem dynamics; Gas chromatography-mass spectrometry, following the analytical setup and protocol of Rach et al. (2020); GDGTs; Germany; Haemelsee; Haemelsee_Haem13; Lake Haemelsee, Germany; LOI; n-Alkane; n-Alkane C17; n-Alkane C21; n-Alkane C22; n-Alkane C23; n-Alkane C24; n-Alkane C25; n-Alkane C26; n-Alkane C27; n-Alkane C28; n-Alkane C29; n-Alkane C30; n-Alkane C31; n-Alkane C32; n-Alkane C33; n-Alkane C34; n-Alkane C35; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Pediastrum; XRF
    Type: Dataset
    Format: text/tab-separated-values, 3173 data points
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  • 79
    Publication Date: 2024-05-16
    Keywords: AGE; Calculated; Central Mediterranean; Cibicidoides pachyderma, δ18O; Globigerinoides ruber, δ18O; Level; Monte_San_Nicola; Monte San Nicola, Sicily, Italy; OUTCROP; Outcrop sample; Oxygen isotopic stratigraphy; Paleoclimate; Plio-Pleistocene boundary; Sub-orbital climate variability; Thermo Scientific Delta V Advantage Isotope Ratio Mass Spectrometer coupled with a Gas Bench II automated preparation device
    Type: Dataset
    Format: text/tab-separated-values, 87 data points
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  • 80
    Publication Date: 2024-05-16
    Description: This dataset provides counts of chironomid head capsules for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Counts per taxon are presented against both depth (m) and age (cal yr. BP), and the total amount of material used for analysis (in g) is provided as well. The chironomid data provides information on Lateglacial ecosystem dynamics and were used to interpret changes in aquatic diversity as well as in local climate conditions. A total of 123 samples from the Lateglacial section of the core were treated with warm KOH (10%) to de-flocculate the material and subsequently rinsed through a sieve with a 100-µm mesh. Chironomid head capsules (HCs) were hand-picked from the residue using a Bogorov sorting tray and mounted on permanent microscope slides using Euparal mounting medium. HCs were identified using Brooks et al. (2007) and the dataset presented here has been matched to the taxonomy of the merged Norwegian/Swiss chironomid-climate calibration dataset. Several samples had low chironomid concentrations and for these we amalgamated adjacent samples (within lithological boundaries) to reach a minimum count sum of 50 head capsules per sample. This process resulted in the final chironomid dataset that is presented here, containing 97 samples. All analyses were performed in the laboratories of the University of Amsterdam, the Netherlands.
    Keywords: Ablabesmyia; AGE; alkanes; Biodiversity; Chironomidae; Chironomidae indeterminata; Chironomini; Chironomus anthracinus-type; Chironomus plumosus-type; Cladopelma lateralis-type; Cladotanytarsus mancus-type; Constempellina; Corynocera ambigua; Corynocera oliveri-type; Corynoneura arctica-type; Corynoneura edwardsi-type; Corynoneura lobata-type; Counting, microscope; Cricotopus/Orthocladius; Cricotopus cylindraceus-type; Cricotopus laricomalis-type; Cricotopus obnixus-type; Cricotopus sylvestris-type; Cricotopus trifasciatus-type; Cricotopus-type P; Cryptochironomus/Demicryptochironomus; DEPTH, sediment/rock; deuterium; Diamesa; diatoms; Dicrotendipes nervosus-type; ecosystem dynamics; Einfeldia; Endochironomus albipennis-type; Endochironomus impar-type; Endochironomus tendens-type; Eukiefferiella spp.; GDGTs; Georthocladius; Germany; Glyptotendipes pallens-type; Guttipelopia; Haemelsee; Haemelsee_Haem13; Heterotrissocladius grimshawi-type; Heterotrissocladius marcidus-type; Heterotrissocladius subpilosus-type; Labrundinia; Lake Haemelsee, Germany; Lasiodiamesa; Lauterborniella/Zavreliella; Limnophyes; LOI; Metriocnemus eurynotus-type; Metriocnemus terrester-type; Microchironomus; Micropsectra insignilobus-type; Micropsectra pallidula-type; Micropsectra radialis-type; Microtendipes pedellus-type; Monodiamesa; Nanocladius branchicolus-type; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Orthocladiini; Orthocladius consobrinus-type; Orthocladius oliveri-type; Orthocladius-type; Orthocladius-type S; Pagastiella; Parachironomus varus-type; Parachironomus vitiosus-type; Paracladius; Parakiefferiella bathophila-type; Parakiefferiella nigra-type; Parakiefferiella triquetra-type; Parakiefferiella-type A; Parametriocnemus; Paratanytarsus spp.; Paratendipes albimanus-type; Pediastrum; Phaenopsectra flavipes-type; Phaenopsectra-type A; Polypedilum nubeculosum-type; Polypedilum sordens-type; Procladius; Propsilocerus lacustris-Type; Protanypus; Psectrocladius barbatipes-type; Psectrocladius calcaratus-type; Psectrocladius septentrionalis-type; Psectrocladius sordidellus-type; Pseudochironomus; Pseudodiamesa; Pseudorthocladius; Pseudosmittia; Sample mass; Sergentia coracina-type; Smittia; Stempellina-type; Stempellinella/Zavrelia; Stenochironomus; Stictochironomus rosenschoeldi-type; Synorthocladius; Tanypodini; Tanypus; Tanytarsini; Tanytarsus chinyensis-type; Tanytarsus glabrescens-type; Tanytarsus lactescens-type; Tanytarsus lugens-type; Tanytarsus mendax-type; Tanytarsus pallidicornis-type; Thienemannimyia; XRF; Zalutschia-type B; Zavrelimyia
    Type: Dataset
    Format: text/tab-separated-values, 9600 data points
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  • 81
    Publication Date: 2024-05-16
    Description: The TRIAXUS ROTV (Remotely Operated Towed Vehicle, MacArtney) is a towed and undulating system which is equipped with a SEABIRD FASTCAT, SBE 49, AANDERAA OXYGEN OPTODE 4330 F, a SEASCAN SUNADeep Nitrate Sensor, a Turner Chl a sensor and a Seascan Video Plankton Recorder (VPR). It measures: seawater temperatures, salinity, dissolved oxygen, nitrate concentrations, Chlorophyll a in the water column. The Videoplanktonrecorder detects particles and organisms in the water column. Trichodesmium colonies were identified using a deep learning software.
    Keywords: Benguela Upwelling System; Chlorophyll a; CTD-TRIAXUS; DATE/TIME; DEPTH, water; Distance; Event label; Fluorometer, Turner Design, C6 Cyclops; Haul; LATITUDE; LONGITUDE; M153; M153_19-3; M153_56-2; Meteor (1986); Nitrate; Nitrate sensor, SBE Deep SUNA; Oxygen; Oxygen optode, Aanderaa type 4330F; Pumped CTD (SBE 49 FastCAT); Salinity; Temperature, water; TRAFFIC; Triaxus; Trichodesmium; Trichodesmium sp.; Trophic Transfer Efficiency in the Benguela Current; Video plankton recorder, Seascan; followed by deep learning software, Python 3.7
    Type: Dataset
    Format: text/tab-separated-values, 1319248 data points
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  • 82
    Publication Date: 2024-05-16
    Description: Multibeam data were collected during RV Polarstern cruise PS139/1 (2023-10-22 to 2023-11-03). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, with SV data from CTDs and World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net/global/tpxo9-atlas), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (〈Lon〉 〈Lat〉 〈Depth in meters, positive up, relative to mean sea level〉). Additional blockmedian 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.
    Keywords: Area; Atlantic Ocean; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); DS3; Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; Hydrosweep DS3; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multibeam; Number of depth soundings; Polarstern; POLMAR; PS139/1; PS139/1_0_Underway-28; Raster cell size; Swath-mapping system Atlas Hydrosweep DS-3; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 225 data points
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  • 83
    Publication Date: 2024-05-16
    Description: Snow height was measured by the Snow Buoy 2022S110, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2022 (AFIN 2022). The resulting time series describes the evolution of snow height as a function of place and time between 29 Jun 2022 and 29 Jan 2023 in sample intervals of 1 hour. The Snow Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude 〉 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C. Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
    Keywords: 2022S110, AFIN 2022; AFIN; Antarctic Fast Ice Network; ANT-Land_2022_AFIN; ANT-Land_2022_AFIN_2022S110; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; Global positioning system, time since last fix; LATITUDE; LONGITUDE; meereisportal.de; NEUMAYER III; Pressure, atmospheric; Quality flag, air temperature; Quality flag, atmospheric pressure; Quality flag, position; Quality flag, snow height; Quality flag, technical temperature; Sea ice; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 82208 data points
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  • 84
    Publication Date: 2024-05-16
    Description: Multibeam data were collected during RV Polarstern cruise PS139/2 (2023-11-03 to 2023-11-22). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from CTDs and World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net/global/tpxo9-atlas), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (〈Lon〉 〈Lat〉 〈Depth in meters, positive up, relative to mean sea level〉). Additional blockmedian 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.
    Keywords: Area; Atlantic Ocean; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); DS3; Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; Hydrosweep DS3; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multibeam; Number of depth soundings; Polarstern; PS139/2; PS139/2_0_Underway-28; Raster cell size; Swath-mapping system Atlas Hydrosweep DS-3; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 425 data points
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  • 85
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-16
    Description: Raw data acquired by position sensors on board RV Polarstern during expedition PS139/1 was processed to receive a validated master track which can be used as reference of further expedition data. During PS139/1 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. 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.
    Keywords: Calculated; Course; CT; DATE/TIME; LATITUDE; LONGITUDE; Polarstern; POLMAR; PS139/1; PS139/1-track; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 3490 data points
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  • 86
    Publication Date: 2024-05-16
    Keywords: 115-707C; 115-715A; Aluminium oxide; Calcium oxide; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Estimated; Event label; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Joides Resolution; Lakshadweep Sea; Leg115; Magnesium oxide; Manganese oxide; Ocean Drilling Program; ODP; Phosphorus pentoxide; Potassium oxide; Sample code/label; Silicon dioxide; Sodium oxide; South Indian Ridge, South Indian Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 115 data points
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  • 87
    Publication Date: 2024-05-16
    Keywords: 111-504B; Aluminium oxide; Atomic absorption spectrometry (AAS); Calcium oxide; Chromium; Cobalt; Colorimetry; Copper; Coupled plasma emission spectrophotometry; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Joides Resolution; Leg111; Magnesium oxide; Manganese oxide; Nickel; North Pacific Ocean; Ocean Drilling Program; ODP; Potassium oxide; Sample code/label; Sample comment; Silicon dioxide; Sodium oxide; Strontium; Sum; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 88
    Publication Date: 2024-05-16
    Keywords: 22-214; 26-253; Albite; Aluminium oxide; Anorthite; Apatite; Barium; Calcium oxide; Calculated; Cerium; Chromium; CIPW Norm; Corundum; Deep Sea Drilling Project; Diopside; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Element analysis, neutron activation (NAA); Elements, total; Europium; Event label; Gadolinium; Glomar Challenger; Hafnium; Hypersthene; Ilmenite; Indian Ocean//RIDGE; Iron oxide, Fe2O3; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Lanthanum; Lanthanum/Tantalum ratio; Lanthanum/Ytterbium ratio; Leg22; Leg26; Leucite; Lutetium; Magnesium oxide; Magnetite; Manganese oxide; Neodymium; Nepheline; Nickel; Niobium; Olivine; Orthoclase; Phosphorus/Zirconium ratio; Phosphorus pentoxide; Potassium oxide; Quartz; Rubidium; Samarium; Sample code/label; Sample code/label 2; Scandium; Silicate, minerals indeterminata; Silicon dioxide; Sodium oxide; Strontium; Tantalum; Terbium; Thorium; Thorium/Tantalum ratio; Titanium/Vanadium ratio; Titanium/Zirconium ratio; Titanium dioxide; Tungsten; Uranium; Vanadium; Wollastonite; X-ray fluorescence (XRF); Ytterbium; Yttrium; Zirconium; Zirconium/Niobium ratio
    Type: Dataset
    Format: text/tab-separated-values, 822 data points
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  • 89
    Publication Date: 2024-05-16
    Keywords: 123-765B; 123-765C; 123-765D; Aluminium oxide; Calcium oxide; Chromium(III) oxide; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elements, total; Event label; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Joides Resolution; Leg123; Magnesium oxide; Manganese oxide; Ocean Drilling Program; ODP; Potassium oxide; Sample code/label; Sample comment; Silicon dioxide; Sodium oxide; South Indian Ridge, South Indian Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 121 data points
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  • 90
    Publication Date: 2024-05-16
    Keywords: 127-797C; Aluminium oxide; Calcium oxide; Comment; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Japan Sea; Joides Resolution; Leg127; Magnesium oxide; Manganese oxide; Ocean Drilling Program; ODP; Phosphorus pentoxide; Potassium oxide; Sample code/label; Silicon dioxide; Sodium oxide; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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  • 91
    Publication Date: 2024-05-16
    Keywords: 187-1155A; 187-1155B; 187-1156A; 187-1160B; 187-1161A; Aluminium oxide; Calcium oxide; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elements, total; Elevation of event; Event label; Indian Ocean; Iron oxide, Fe2O3; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Joides Resolution; Latitude of event; Leg187; Longitude of event; Magnesium number; Magnesium oxide; Manganese oxide; Method comment; Nickel; Ocean Drilling Program; ODP; Phosphorus pentoxide; Potassium oxide; Reference/source; Sample code/label; Sample code/label 2; Sample comment; Silicon dioxide; Sodium oxide; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 139 data points
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  • 92
    Publication Date: 2024-05-16
    Keywords: 127-794C; 127-797C; 128-794D; Aluminium oxide; Calcium oxide; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elements, total; Event label; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Japan Sea; Joides Resolution; Leg127; Leg128; Lithology/composition/facies; Loss on ignition; Magnesium oxide; Manganese oxide; Nickel; Ocean Drilling Program; ODP; Phosphorus pentoxide; Potassium oxide; Sample code/label; Sample comment; Silicon dioxide; Sodium oxide; Titanium dioxide; X-ray fluorescence (XRF)
    Type: Dataset
    Format: text/tab-separated-values, 352 data points
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  • 93
    Publication Date: 2024-05-16
    Keywords: 89-462A; Aluminium oxide; Barium; Calcium oxide; Carbon dioxide; Cerium; Chromium; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Element analyser CHN; Glomar Challenger; Hafnium; Instrumental neutron activation analysis (INAA); Iron oxide, Fe2O3; Iron oxide, Fe2O3/Iron oxide, FeO ratio; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Lanthanum; Leg89; Magnesium oxide; Manganese oxide; Neodymium; Nickel; Niobium; North Pacific; Phosphorus pentoxide; Potassium oxide; Rubidium; Sample, optional label/labor no; Sample code/label; Scandium; Silicon dioxide; Sodium oxide; Specific gravity; Strontium; Tantalum; Thorium; Titanium dioxide; Total; Uranium; Water in rock; X-ray fluorescence (XRF); X-ray fluorescence on pressed powder; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 2477 data points
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  • 94
    Publication Date: 2024-05-16
    Keywords: 135-834; 135-835B; 135-836; 135-837B; 135-839; Aluminium oxide; Aluminium oxide/Titan dioxide; Barium; Calcium oxide; Calcium oxide/Aluminium oxide; Calcium oxide/Titanium dioxide; Calculated; Cerium; Chromium; Comment; COMPCORE; Composite Core; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elements, total; Elevation of event; Event label; Iron oxide, Fe2O3; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Joides Resolution; Latitude of event; Leg135; Lithologic unit/sequence; Longitude of event; Magnesium number; Magnesium oxide; Manganese oxide; Nickel; Niobium; Ocean Drilling Program; ODP; Phosphorus pentoxide; Potassium oxide; Rubidium; Sample code/label; Silicon dioxide; Sodium oxide; Sodium oxide/Calcium oxide ratio; South Pacific Ocean; Strontium; Titanium/Zirconium ratio; Titanium dioxide; Vanadium; X-ray fluorescence (XRF); Yttrium; Yttrium/Zirconium ratio; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 4197 data points
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  • 95
    Publication Date: 2024-05-16
    Keywords: 83-504B; Alteration; Aluminium oxide; Calcium oxide; Calcium oxide/Sodium oxide; Chromium; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Gallium; Glomar Challenger; Group; Iron oxide, Fe2O3; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Leg83; Magnesium number; Magnesium oxide; Manganese oxide; Microprobe; Nickel; Niobium; Phosphorus pentoxide; Potassium oxide; Rubidium; Sample, optional label/labor no; Sample code/label; see reference(s); Silicon dioxide; Sodium oxide; Strontium; Titanium dioxide; Total; Type; Vanadium; X-ray fluorescence (XRF); Yttrium; Zinc; Zirconium; Zirconium/Yttrium ratio
    Type: Dataset
    Format: text/tab-separated-values, 1826 data points
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  • 96
    Publication Date: 2024-05-16
    Keywords: 63-469; 63-471; Albite; Aluminium oxide; Anorthite; Calcite; Calcium oxide; CIPW Norm; Deep Sea Drilling Project; Diopside; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Electron microprobe (EMP); Event label; Glomar Challenger; Hypersthene; Ilmenite; Iron oxide, Fe2O3; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Leg63; Loss on ignition; Magnesium oxide; Magnetite; Manganese oxide; Nepheline; North Pacific/ESCARPMENT; North Pacific/FAN; Olivine; Orthoclase; Potassium oxide; Quartz; Sample code/label; Silicon dioxide; Sodium oxide; Titanium dioxide; Total; Water in rock
    Type: Dataset
    Format: text/tab-separated-values, 243 data points
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  • 97
    Publication Date: 2024-05-16
    Keywords: 61-462; 61-462A; Albite; Aluminium oxide; Anorthite; Apatite; Calcium oxide; Chromium; CIPW Norm; Cobalt; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Enstatite; Event label; Fayalite; Ferrosilite; Forsterite; Glomar Challenger; Ilmenite; Iron oxide, Fe2O3; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Leg61; Magnesium oxide; Magnetite; Manganese oxide; Nepheline; Nickel; Orthoclase; Phosphorus pentoxide; Potassium oxide; Quartz; Sample code/label; Silicon dioxide; Sodium oxide; Sulfur, total; Titanium dioxide; Total; Type; Water in rock; Wet chemistry; Wollastonite
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
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  • 98
    Publication Date: 2024-05-16
    Keywords: 57-438; 57-438A; Aluminium oxide; Calcium oxide; Calcium oxide/Sodium oxide; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Electron microprobe (EMP); Event label; Glomar Challenger; Iron oxide, Fe2O3; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Layer number; Leg57; Magnesium oxide; Manganese oxide; North Pacific/BASIN; Potassium oxide; Potassium oxide/Sodium oxide ratio; Ratio; Sample code/label; Silicon dioxide; Sodium oxide; Titanium dioxide; Total
    Type: Dataset
    Format: text/tab-separated-values, 300 data points
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  • 99
    Publication Date: 2024-05-16
    Keywords: Aluminium oxide; Calcium oxide; DA04-31P; DEPTH, sediment/rock; Electron microprobe (EMP); Horizon; Iron oxide, FeO; Iron oxide/Magnesium oxide ratio; Lithology/composition/facies; Magnesium oxide; Manganese oxide; PC; Piston corer; Potassium oxide; Silicon dioxide; Sodium oxide; Sum; Titanium dioxide; Total; Type
    Type: Dataset
    Format: text/tab-separated-values, 2250 data points
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  • 100
    Publication Date: 2024-05-16
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after ~12 hours. While temperature is taken at the water inlet in about 4 m depth, salinity is estimated within the SMB from conductivity and interior temperature. Temperature and salinity were calibrated against CTD data from 4 m depth. For details to all processing steps see Data Processing Report.
    Keywords: Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; GEOTRACES GP11; LATITUDE; LONGITUDE; Measurement container; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO298; SO298_0_Underway-7; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 344670 data points
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