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  • PANGAEA  (219,860)
  • American Physical Society  (115,579)
  • Wiley-Blackwell  (36,113)
  • Frontiers Media SA
  • 2020-2024  (37,204)
  • 2005-2009  (277,225)
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  • 1
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    Physical oceanography (CTD/Rosette) during Akademik Tryoshnikov cruise Arctic Century 2021 Expedition (AT21), Arctic Ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: A standard CTD system from Sea-Bird Electronics Inc SBE911+ with duplicate temperature and conductivity sensors was used to measure temperature, conductivity and pressure at 86 stations during an expedition to the Kara and Laptev Seas and the adjacent Arctic Ocean in August-September 2021 aboard the research vessel “Akademik Tryoshnikov”. We followed the manufacturer's recommendation to calculate salinity with Seabird processing software. The salinity is given as Practical Salinity (PSU). Data were averaged in depth bins of 1 m. The processed, but not bin-averaged, cnv-files from each station are also part of this publication (zip file). The accuracy of the conductivity sensors was verified by measurements on water samples with a salinometer. The data set published here includes only the data from the first conductivity (SN 3290) and temperature (SN 4127) sensors. Only at station 26 the data of the second sensor pair (SN 2618/Cond, SN 5115/Temp) were used. The CTD was connected to an SBE32 carousel water sampler with 24 12-liter bottles. Additionally, a Wetlabs ECO-AFL Fluorometer was connected to the SBE911+ system. The data are provided by the Arctic Century Expedition, a joint initiative led by the Swiss Polar Institute (SPI), the Antarctic and Arctic Research Institute (AARI) and GEOMAR Helmholtz Centre for Ocean Research Kiel (GEOMAR) and funded by the Swiss Polar Foundation, AARI, Minobrnauki (CATS RFMEFI61619X0108) and BMBF (CATS 03F0831).
    Keywords: Akademik Tryoshnikov; ArcticCentury; Arctic Century Expedition; Arctic Ocean; AT21; AT21_001-1; AT21_001-5; AT21_002-1; AT21_003-1; AT21_004-1; AT21_005-1; AT21_006-1; AT21_007-1; AT21_008-1; AT21_009-1; AT21_010-1; AT21_011-1; AT21_012-1; AT21_013-1; AT21_015-1; AT21_016-1; AT21_017-1; AT21_018-1; AT21_019-1; AT21_020-1; AT21_020-5; AT21_021-1; AT21_022-1; AT21_023-1; AT21_024-1; AT21_026-1; AT21_027-1; AT21_028-1; AT21_029-1; AT21_030-1; AT21_031-1; AT21_032-1; AT21_034-1; AT21_035-1; AT21_036-1; AT21_037-1; AT21_038-1; AT21_039-1; AT21_040-1; AT21_040-6; AT21_041-1; AT21_043-1; AT21_045-1; AT21_047-1; AT21_049-1; AT21_050-1; AT21_051-1; AT21_053-1; AT21_055-1; AT21_056-1; AT21_057-1; AT21_058-1; AT21_059-1; AT21_060-1; AT21_061-1; AT21_062-1; AT21_064-1; AT21_065-1; AT21_066-1; AT21_067-1; AT21_068-1; AT21_069-1; AT21_070-1; AT21_071-1; AT21_072-1; AT21_073-1; AT21_075-1; AT21_089-1; AT21_093-1; AT21_096-1; AT21_097-1; AT21_098-1; AT21_104-1; AT21_106-1; AT21_107-1; AT21_108-1; AT21_109-1; AT21_110-1; AT21_111-1; AT21_112-1; AT21_113-1; AT21_114-1; AT21_117-1; AT21_119-1; AT21_122-1; AT21_125-1; Barents Sea; Calculated; CATS; CATS - The Changing Arctic Transpolar System; Conductivity; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorescence, chlorophyll; Fluorometer, WET Labs ECO AFL/FL; Kara Sea; Laptev Sea; Latitude of event; Longitude of event; Pressure, water; Salinity; shelf-basin transects; St. Anna Trough; Station label; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 336264 data points
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  • 2
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    Nutrients, oxygen, total alkalinity, pH, and physical oceanography measured on water bottle samples during Akademik Tryoshnikov cruise Arctic Century 2021 Expedition (AT21), Arctic Ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: A standard CTD system from Sea-Bird Electronics Inc SBE911+ with duplicate temperature and conductivity sensors was used to measure temperature, conductivity and pressure at 81 stations during an expedition to the Kara and Laptev Seas and the adjacent Arctic Ocean in August-September 2021 aboard the research vessel Akademik Tryoshnikov. We followed the recommendation of the manufacturer to calculate salinity with Seabird processing software. The salinity is given as Practical Salinity (PSU). The accuracy of the conductivity sensors was verified by measurements on water samples with a salinometer. The data set published here includes only the data from the first conductivity (SN 3290) and temperature (SN 4127) sensors. Only at station 26 the data of the second sensor pair (SN 2618/Cond, SN 5115/Temp) were used. The CTD was connected to a SBE32 Carousel Water Sampler with 24 12-liter bottles. Additionally, a Benthos Altimeter and a Wetlabs ECO-AFL Fluorometer were connected to the SBE911+ system. At 69 stations, 846 seawater samples were collected for analysis of dissolved inorganic nutrients (nitrate, nitrite, phosphate, ammonium, silicate), oxygen, total alkalinity, and pH. Dissolved inorganic nutrients were analyzed using a segmented flow analyzer from Seal Analytical. Ammonium was measured manually (colorimetric method) using a spectrophotometer (Shimadzu UV-1800). Dissolved oxygen was determined by the standard Winkler titration method using a Metrohm 916 TiTouch automatic titrator and a handheld titrator (BRAND). pH and total alkalinity were measured by potentiometric titration using an automatic titrator (Metrohm 916 TiTouch). The data are provided by the Arctic Century Expedition, a joint initiative led by the Swiss Polar Institute (SPI), the Antarctic and Arctic Research Institute (AARI) and GEOMAR Helmholtz Centre for Ocean Research Kiel (GEOMAR) and funded by the Swiss Polar Foundation, AARI, Minobrnauki (CATS RFMEFI61619X0108) and BMBF (CATS 03F0831).
    Keywords: Akademik Tryoshnikov; Alkalinity, total; Ammonium; ArcticCentury; Arctic Century Expedition; Arctic Ocean; AT21; AT21_001-5; AT21_002-1; AT21_003-1; AT21_004-1; AT21_005-1; AT21_006-1; AT21_007-1; AT21_008-1; AT21_009-1; AT21_010-1; AT21_012-1; AT21_013-1; AT21_015-1; AT21_016-1; AT21_017-1; AT21_018-1; AT21_019-1; AT21_020-1; AT21_020-5; AT21_022-1; AT21_023-1; AT21_024-1; AT21_026-1; AT21_027-1; AT21_028-1; AT21_029-1; AT21_030-1; AT21_031-1; AT21_032-1; AT21_034-1; AT21_035-1; AT21_036-1; AT21_037-1; AT21_038-1; AT21_039-1; AT21_040-1; AT21_040-6; AT21_041-1; AT21_043-1; AT21_045-1; AT21_047-1; AT21_049-1; AT21_050-1; AT21_051-1; AT21_053-1; AT21_055-1; AT21_057-1; AT21_058-1; AT21_059-1; AT21_060-1; AT21_061-1; AT21_062-1; AT21_064-1; AT21_065-1; AT21_066-1; AT21_067-1; AT21_068-1; AT21_069-1; AT21_070-1; AT21_071-1; AT21_072-1; AT21_073-1; AT21_075-1; AT21_089-1; AT21_093-1; AT21_097-1; AT21_098-1; AT21_104-1; AT21_106-1; AT21_107-1; AT21_108-1; AT21_109-1; AT21_110-1; AT21_111-1; AT21_112-1; AT21_113-1; AT21_114-1; AT21_117-1; AT21_119-1; AT21_122-1; AT21_125-1; Barents Sea; Bottle number; Calculated; CATS; CATS - The Changing Arctic Transpolar System; Conductivity; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Fluorescence, chlorophyll; Fluorometer, WET Labs ECO AFL/FL; Kara Sea; Laptev Sea; Latitude of event; Longitude of event; Nitrate; Nitrite; nutrients; Oxygen, dissolved; pH; Phosphate; physical oceanography; Potentiometric titration, Metrohm 916 TiTouch; Pressure, water; Salinity; Sample code/label; Segmented flow analyzer, Seal Analytical; shelf-basin transects; Silicate; Spectrophotometer Shimadzu UV-1800; St. Anna Trough; Station label; Temperature, water; Titration, Winkler
    Type: Dataset
    Format: text/tab-separated-values, 21531 data points
    Location Call Number Expected Availability
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  • 3
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    EastGRIP snow-pack and ice-core densities (measured and modelled) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: We here report measured densities from a combination of records from the EastGRIP ice-core site. The data come from a trench and two ice cores: the shallow EGRIP-S6 core and the deep main core of the project. Based on these data, we parametrize the density as a function of depth, allowing us to provide a standard transfer function between true depth and ice-equivalent depth which is consistent with the EGRIP density measurements. EGRIP density data are only available to 117 m depth, at which depth the density is about 900 kg/m^3 and the difference between true depth and ice-equivalent depth is about 22 m. The density and overburden profiles have been extended below this depth and all the way to 1200 m in order to provide a convenient, continuous and (mostly) smooth transfer function between true depth and ice-equivalent depth. See PDF file provided under 'Documentation' for full description of data and parametrization.
    Keywords: density; East Greenland Ice-core Project; EastGRIP 2016 snow trench; EastGRIP main core; EastGRIP S6 shallow ice core; EGRIP; EGRIP_2016_snow_trench; EGRIP_main_core; EGRIP_S6; Greenland; ICEDRILL; Ice drill; SNOWTRE; Snow trench
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 4
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    Physical oceanography measured with Underway-CTD (UCTD) during Akademik Tryoshnikov cruise Arctic Century 2021 Expedition (AT21), Arctic Ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: Underway-CTD (UCTD) data were collected during an August-September 2021 expedition to the Arctic Ocean aboard the RV Akademik Tryoshnikov. The underway CTD manufactured by Ocean Science is a self-contained free-falling probe measuring temperature, conductivity, depth while the ship is transiting. The UCTD was operated mostly in yoyo-mode during selected transects on the shelf of the Kara and Laptev Seas and between the shelf and the basin across the continental slope of the Eurasian Basin while the ship was transiting with 4 - 10 knots. The UCTD probe records the start time of the measurements and stores 16 samples each second internally. The exact location of each profile was subsequently found based on the time stamp from the cruise track. The unpumped conductivity sensor has a slower response time than the temperature sensor, which makes the computation of salinity from conductivity and temperature potentially spiky, especially in the pycnocline or in frontal regions. We followed the recommendation of the manufacturer to calculate salinity with Seabird processing software. The salinity is given as Practical Salinity (PSU). The raw data profiles are provided as well and can be reprocessed if desired. In shallower waters (〈300 m), the water column was profiled all the way to the seafloor, while in deeper waters, only the upper 300-600 m were sampled. The UCTD was calibrated against a Seabird 9+ CTD during the cruise. The upper 5 m of the data were discarded due to the influence of the ship. The icebreaker Akademik Tyoshnikov has a deep draft. Mixing of the water column caused by the ship can reach depths of up to about 10 m, depending on the weather conditions and the ship's speed. The data are provided by the Arctic Century Expedition, a joint initiative led by the Swiss Polar Institute (SPI), the Antarctic and Arctic Research Institute (AARI) and GEOMAR Helmholtz Centre for Ocean Research Kiel (GEOMAR) and funded by the Swiss Polar Foundation, AARI, Minobrnauki (CATS RFMEFI61619X0108) and BMBF (CATS 03F0831)
    Keywords: Akademik Tryoshnikov; ArcticCentury; Arctic Century Expedition; Arctic Ocean; AT21; AT21_015-A; AT21_016-A; AT21_016-B; AT21_017-A; AT21_017-B; AT21_020-A; AT21_025-A; AT21_025-B; AT21_025-C; AT21_025-D; AT21_026-A; AT21_027-A; AT21_028-A; AT21_029-A; AT21_030-A; AT21_037-A; AT21_042; AT21_044; AT21_046; AT21_048; AT21_052; AT21_054; AT21_070-A; AT21_070-B; AT21_070-C; AT21_070-D; AT21_070-E; AT21_070-F; AT21_079-C; AT21_079-D; AT21_079-E; AT21_079-F; AT21_079-G; AT21_079-H; AT21_079-I; AT21_079-J; AT21_079-K; AT21_079-L; AT21_079-M; AT21_079-N; AT21_079-O; AT21_079-P; AT21_079-Q; AT21_079-R; AT21_079-S; AT21_079-T; AT21_079-U; AT21_081; AT21_082; AT21_083; AT21_084; AT21_085; AT21_086; AT21_087; AT21_088; AT21_090; AT21_091; AT21_094; AT21_095; AT21_099; AT21_100; AT21_101; AT21_102; AT21_105; AT21_115; AT21_118; AT21_120; AT21_121; AT21_123; AT21_124; Barents Sea; CATS; CATS - The Changing Arctic Transpolar System; Conductivity; CTD, underway; CTD-UW; Date/Time of event; DEPTH, water; Elevation of event; Event label; Kara Sea; Laptev Sea; Latitude of event; Longitude of event; Pressure, water; Salinity; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 103960 data points
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  • 5
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    Mesozooplankton abundance and biomass during Alkor cruise AL544 (WP2 net) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: A key goal of the AL544 cruise in September 2020 in the Baltic Sea was to enhance our understanding of environmental and zooplankton (especially gelatinous) population fluctuations along an east-west transect. Vertically integrated mesozooplankton abundance and diversity was obtained from plankton net hauls followed by image analysis. Samples were collected using a Hydrobios standard WP2 net (200µm) vertical from bottom to surface. Samples were scanned using an Epson V750 Pro flatbed scanner at 2400dpi, scanned as one size fraction, split sometimes multiple times. Processed using ZooProcess. Image data are available on https://ecotaxa.obs-vlfr.fr/prj/5189 and were sorted into taxonomic categories (examples in AL544_mesozoo_examples.zip). Using the export file (.tsv) individual biomass was calculated based on object area and taxonomic identity according to Lehette and Hernandez-Leon (2009). Abundance and biomass are then aggregated to concentrations (per volume).
    Keywords: Abundance per volume; Acartia; AL544; AL544_15-2; AL544_16-2; AL544_17-3; AL544_18-2; AL544_20-2; AL544_21-3; AL544_22-2; AL544_23-3; AL544_24-2; AL544_25-3; AL544_26-2; AL544_27-3; AL544_28-2; AL544_29-3; AL544_30-2; AL544_31-3; AL544_32-2; AL544_33-3; AL544_34-2; AL544_35-3; AL544_36-2; AL544_37-3; AL544_38-2; AL544_39-3; AL544_40-2; AL544_41-3; AL544_42-2; AL544_43-3; AL544_44-2; AL544_45-3; AL544_46-2; AL544_47-3; AL544_48-2; AL544_49-3; AL544_50-2; AL544_51-3; AL544_52-2; AL544_53-3; AL544_54-2; AL544_64-3; AL544_65-2; AL544_66-3; AL544_67-2; AL544_68-3; AL544_69-2; AL544_70-3; AL544_71-2; AL544_72-3; AL544_73-2; AL544_74-3; Alkor (1990); Appendicularia; Baltic Sea; Bivalvia; Bosmina; Calanoida; Centropages spp.; Chaetognatha; Cladocera; Cnidaria; Copepoda; Counts; Crustacea; Ctenophora; Cypris sp.; DATE/TIME; Depth, top/min; DEPTH, water; Evadne; Evadne spp.; Event label; Gastropoda; LATITUDE; LONGITUDE; Mass per volume; Mesozooplankton, other groups; Nauplii; Oithonidae; Ostracoda; Podon; Podon spp.; Polychaeta; Pseudocalanus sp.; Sample code/label; Station label; Temora spp.; The Little Belt; Tintinnid; Volume, filter; WP2; WP-2 towed closing plankton net; Zoea; Zooplankton abundance; Zooplankton biomass; ZooScan
    Type: Dataset
    Format: text/tab-separated-values, 4300 data points
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  • 6
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    Seabed images taken at pilot oyster reefs in the Borkum Riffgrund marine protected area during Heincke HE601 cruise (June 2022) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: Imagery transects with a camera attached to a frame design for taking pictures in a 50 x 50 cm area. Seabed images transects were carried out by scientific divers during the Heincke HE601 cruise focusing on developing and testing monitoring techniques at the Borkum Reef Ground and Sylt Outer Reef Marine Protected Areas. The camera used was a Canon EOS M6 camera, the pictures were taken perpendicularly to the seabed. The transects were done along a preset track across the reefs, number of pictures per transect varied based on diving time. The seabed images provide insights into the general composition of key species, higher systematic groups and ecological guilds. The images also contain valuable information on how benthic species are associated to each other. Transect files include individual images, whereas metadata of each image including diving depth, date/time, if the image was further analyzed, corresponding diver is found in a separate file. Geographical coordinates of individual images is unavailable.
    Keywords: Borkum Riffgrund, North Sea; Camera, Canon, EOS M6; Comment; CREATE; DATE/TIME; DIVER; East Reef Dive 1; East Reef Dive 2; Event label; HE601; HE601_ER_D1; HE601_ER_D2; HE601_WR_D1; HE601_WR_D2; Heincke; Image, under water; Image, under water (File Size); Image, under water (Media Type); Name; Optional event label; Restoration of the European oyster (Ostrea edulis) in the German North Sea: Development and practical testing of methods and approaches for a sustainable population recovery; RESTORE; Sampling by diver; West Reef Dive 1; West Reef Dive 2
    Type: Dataset
    Format: text/tab-separated-values, 351 data points
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  • 7
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    Density of the EastGRIP S6 shallow core (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: We here report measured densities from a combination of records from the EastGRIP ice-core site. The data come from a trench and two ice cores: the shallow EGRIP-S6 core and the deep main core of the project. Based on these data, we parametrize the density as a function of depth, allowing us to provide a standard transfer function between true depth and ice-equivalent depth which is consistent with the EGRIP density measurements. EGRIP density data are only available to 117 m depth, at which depth the density is about 900 kg/m^3 and the difference between true depth and ice-equivalent depth is about 22 m. The density and overburden profiles have been extended below this depth and all the way to 1200 m in order to provide a convenient, continuous and (mostly) smooth transfer function between true depth and ice-equivalent depth. See PDF file provided under 'Documentation' for full description of data and parametrization.
    Keywords: Comment; density; Density, ice; DEPTH, ice/snow; East Greenland Ice-core Project; EastGRIP S6 shallow ice core; EGRIP; EGRIP_S6; Greenland; ICEDRILL; Ice drill
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 8
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    Density of snow trench samples from the EastGRIP site (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: We here report measured densities from a combination of records from the EastGRIP ice-core site. The data come from a trench and two ice cores: the shallow EGRIP-S6 core and the deep main core of the project. Based on these data, we parametrize the density as a function of depth, allowing us to provide a standard transfer function between true depth and ice-equivalent depth which is consistent with the EGRIP density measurements. EGRIP density data are only available to 117 m depth, at which depth the density is about 900 kg/m^3 and the difference between true depth and ice-equivalent depth is about 22 m. The density and overburden profiles have been extended below this depth and all the way to 1200 m in order to provide a convenient, continuous and (mostly) smooth transfer function between true depth and ice-equivalent depth. See PDF file provided under 'Documentation' for full description of data and parametrization.
    Keywords: density; Density, ice; DEPTH, ice/snow; East Greenland Ice-core Project; EastGRIP 2016 snow trench; EGRIP; EGRIP_2016_snow_trench; Greenland; SNOWTRE; Snow trench
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
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  • 9
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    Density of the EastGRIP main core (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: We here report measured densities from a combination of records from the EastGRIP ice-core site. The data come from a trench and two ice cores: the shallow EGRIP-S6 core and the deep main core of the project. Based on these data, we parametrize the density as a function of depth, allowing us to provide a standard transfer function between true depth and ice-equivalent depth which is consistent with the EGRIP density measurements. EGRIP density data are only available to 117 m depth, at which depth the density is about 900 kg/m^3 and the difference between true depth and ice-equivalent depth is about 22 m. The density and overburden profiles have been extended below this depth and all the way to 1200 m in order to provide a convenient, continuous and (mostly) smooth transfer function between true depth and ice-equivalent depth. See PDF file provided under 'Documentation' for full description of data and parametrization.
    Keywords: density; Density, ice; DEPTH, ice/snow; East Greenland Ice-core Project; EastGRIP main core; EGRIP; EGRIP_main_core; Greenland; ICEDRILL; Ice drill
    Type: Dataset
    Format: text/tab-separated-values, 154 data points
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  • 10
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    A standardized EGRIP density profile, true depth and ice-equivalent depth (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-30
    Description: We here report measured densities from a combination of records from the EastGRIP ice-core site. The data come from a trench and two ice cores: the shallow EGRIP-S6 core and the deep main core of the project. Based on these data, we parametrize the density as a function of depth, allowing us to provide a standard transfer function between true depth and ice-equivalent depth which is consistent with the EGRIP density measurements. EGRIP density data are only available to 117 m depth, at which depth the density is about 900 kg/m^3 and the difference between true depth and ice-equivalent depth is about 22 m. The density and overburden profiles have been extended below this depth and all the way to 1200 m in order to provide a convenient, continuous and (mostly) smooth transfer function between true depth and ice-equivalent depth. See PDF file provided under 'Documentation' for full description of data and parametrization.
    Keywords: Calculated according to Rasmussen et al.(2023); density; Density, ice; DEPTH, ice/snow; Depth ice equivalent; East Greenland Ice-core Project; EastGRIP 2016 snow trench; EastGRIP main core; EastGRIP S6 shallow ice core; EGRIP; EGRIP_2016_snow_trench; EGRIP_main_core; EGRIP_S6; Greenland; ICEDRILL; Ice drill; SNOWTRE; Snow trench
    Type: Dataset
    Format: text/tab-separated-values, 48002 data points
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  • 11
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    Particle flux studies of sediment traps from the northern and equatorial Indian Ocean (2009)
    PANGAEA
    In:  Supplement to: Unger, Daniela; Jennerjahn, Tim C (2009): Impact of regional Indian Ocean characteristics on the biogeochemical variability of settling particles. In: Wiggert, J; Naqvi, SWA; Smith, S; Hood, RR (eds.) Indian Ocean Biogeochemical Processes and Ecological Variability. AGU, Geophysical Monograph Series, 185, 257-280, https://doi.org/10.1029/2008GM000703
    Details
    Publication Date: 2024-06-29
    Description: The Asian monsoon system governs seasonality and fundamental environmental characteristics in the study area from which two distinct peculiarities are most notable: upwelling and convective mixing in the Arabian Sea and low surface salinity and stratification in the Bay of Bengal due to high riverine input and monsoonal precipitation. The respective oceanography sets the framework for nutrient availability and productivity. Upwelling ensures high nitrate concentration with temporal/spatial Si limitation; freshwater-induced stratification leads to reduced nitrogen input from the subsurface but Si enrichment in surface waters. Ultimately, both environments support high abundance of diatoms, which play a central role in the export of organic matter. It is speculated that, additional to eddy pumping, nitrogen fixation is a source of N in stratified waters and contributes to the low-d15N signal in sinking particles formed under riverine impact. Organic carbon fluxes are best correlated to opal but not to carbonate, which is explained by low foraminiferal carbonate fluxes within the river-impacted systems. This observation points to the necessity of differentiating between carbonate sources for carbon flux modeling. As evident from a compilation of previously published and new data on labile organic matter composition (amino acids and carbohydrates), organic matter fluxes are mainly driven by direct input from marine production, except the site off Pakistan where sedimentary input of (marine) organic matter is dominant during the NE monsoon. The explanation of apparently different organic carbon export efficiency calls for further investigations of, for example, food web structure and water column processes.
    Keywords: Arabian Sea; Bay of Bengal; CBBT; Center for Marine Environmental Sciences; East Pakistan Trap Station; EIOT; EPT; Equatorial Indian Ocean Trap Station; Indian Ocean; JAM-1; Lakshadweep Sea; MARUM; MOOR; Mooring; NBBT-N; NBBT-S; Northern Bay of Bengal Trap Station - North; Northern Bay of Bengal Trap Station - South; off south Java; SBBT; Southern Bay of Bengal Trap Station; Trap, sediment; TRAPS
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 12
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    Stable oxygen isotopes of Antarctic snow pits (2006)
    PANGAEA
    In:  Supplement to: Bertler, Nancy A; Naish, Tim R; Oerter, Hans; Kipfstuhl, Sepp; Barrett, Peter J; Mayewski, Paul Andrew; Kreutz, Karl (2006): The Effects of joint ENSO – Antarctic Oscillation Forcing on the McMurdo Dry Valleys, Antarctica. Antarctic Science, 18(4), 507-514, https://doi.org/10.1017/S0954102006000551
    Details
    Publication Date: 2024-06-29
    Description: Stable oxygen analyses and snow accumulation rates from snow pits sampled in the McMurdo Dry Valleys have been used to reconstruct variations in summer temperature and moisture availability over the last four decades. The temperature data show a common interannual variability, with strong regional warmings occurring especially in 1984/85, 1995/96 and 1990/91 and profound coolings during 1977/78, 1983/84, 1988/89, 1993/94, and 1996/97. Annual snow accumulation shows a larger variance between sites, but the early 1970s, 1984, 1997, and to a lesser degree 1990/91 are characterized overall by wetter conditions, while the early and late 1980s show low snow accumulation values. Comparison of the reconstructed and measured summer temperatures with the Southern Oscillation Index (SOI) and the Antarctic Oscillation (AAO) yield statistically significant correlations, which improve when phase-relationships are considered. A distinct change in the phase relationship of the correlation is observed, with the SOI-AAO leading over the temperature records by one year before, and lagging by one year after 1988. These results suggest that over the last two decades summer temperatures are influenced by opposing El Niño Southern Oscillation and AAO forcings and support previous studies that identified a change in the Tropical-Antarctic teleconnection between the 1980s and 1990s.
    Keywords: Baldwin_Valley_Glacier; BVG; McMurdo Dry Valleys, southern Victorica Land, Antarctica; NewZealand_Antarctic_Expedition; Polar_Plateau; PP; Scott Base; SNOWPIT; Snow pit; Victoria_Lower_Glacier; VLG_II; Wilson_Piedmont_Glacier; WPG
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 13
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    Grain sizes and geochemistry of Holocene sediments in the Arabian Sea (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Indian Summer Monsoon (ISM) with its rainfall is the lifeline for people living on the Indian subcontinent today and possibly was the driver of the rise and fall of early agricultural societies in the past. Intensity and position of the ISM have shifted in response to orbitally forced thermal land-ocean contrasts. At the northwestern monsoon margins, interactions between the subtropical westerly jet (STWJ) and the ISM constitute a tipping element in the Earth's climate system, because their non-linear interaction may be a first-order influence on rainfall. We reconstructed marine sea surface temperature (SST), supply of terrestrial material and vegetation changes from a very well-dated sediment core from the northern Arabian Sea to reconstruct the STWJ-ISM interaction. The Holocene record (from 11,000 years) shows a distinct, but gradual, southward displacement of the ISM in the Early to Mid-Holocene, increasingly punctuated by phases of intensified STWJ events that are coeval with interruptions of North Atlantic overturning circulation (Bond events). Effects of the non-linear interactions culminate between 4.6-3 ka BP, marking a climatic transition period during which the ISM shifted southwards and the influence of SWTJ became prominent. The lithogenic input shows an up to 4-fold increase after this time period signaling the strengthened influence of agricultural activities of the Indus civilization with enhanced erosion of soils amplifying the impact of Bond events and adding to the marine sedimentation rates adjacent to the continent.
    Keywords: Alkenones; Arabian Sea; CAHOL; CAME-II_CAHOL; Crossing Climatic Tipping Points - Central Asian Holocene Climate; Grain Size; KAL; Kasten corer; n-alkanes; PAKOMIN; SO90; SO90_63KA; Sonne
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 14
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    Age model and geochemistry data of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The data sets contains the age model as well as bulk organic and n-alkane data of sediment core GeoTü SL167 to reconstruct changes of the oxygen minimum zone strength for the late Quaternary. The age model is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blauuw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. The measurements of n-alkanes were carried out using Thermo Scientific Trace 1310 GC-FID and Thermo Scientific DSQ II (GC-MS). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age model; Arabian Sea; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; n-alkanes; OMZ; Quaternary
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 15
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    Biomarker indices and concentrations and biomarker-based temperature estimates from the Iberian Margin core MD95-2042, composite Greenland atmospheric temperature record, and Antarctic stacks (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: Core MD95-2042 alkenone and GDGT data: This dataset provides the following information for core MD95-2042: depth, age, summed OH-GDGT, iGDGT, and di-unsaturated and tri-unsaturated C37 alkenone concentrations, OH-GDGT-based, iGDGT-based, and alkenone-based paleothermometric indices, GDGT-2/GDGT-3 ratio, and biomarker-based sea surface temperature (SST) and 0‐ to 200‐m sea temperature (subT; gamma function probability distribution for target temperatures with a = 4.5 and b = 15) estimates. Sediment samples were taken every 5 cm from core MD95-2042 and homogenized before lipid extraction. The lipid extracts were splitted into two fractions: one for alkenone analysis by gas chromatography coupled to a flame ionization detector, and the other for GDGT analysis by high-performance liquid chromatography coupled to mass spectrometry. All GDGT analyses were done in duplicate. The 1σ analytical uncertainties from 37 replicate analyses of the core catcher sample from core MD95-2042 are 0.007 (0.4 °C) for RI-OH, 0.008 (0.2 °C) for RI-OH′, 0.003 (0.2 °C) for TEX86, 0.238 for GDGT-2/GDGT-3, and 0.010 (0.26 °C) for UK′37. RI-OH′-SST estimates are from the following global calibration: SST = (RI-OH′ + 0.029)/0.0422 (Fietz et al., 2020). RI-OH-SST estimates are from the following global calibration: SST = (RI-OH − 1.11)/0.018 (Lü et al., 2015). TEX86H-SST estimates are from the following regional paleocalibration: SST = 68.4 × TEX86H + 33.0 (Darfeuil et al., 2016). UK′37-SST estimates are from the following global calibration: SST = 29.876 × UK′37 − 1.334 (Conte et al., 2006). Bayesian calibrations were also used for TEX86-SST and TEX86-subT estimates (BAYSPAR; Tierney & Tingley, 2014, 2015) and for UK′37-SST estimates (BAYSPLINE; Tierney & Tingley, 2018). Alkenone data covering the 160–70 and 70–0 ka BP periods are from Davtian et al. (2021) and Darfeuil et al. (2016), respectively. GDGT data covering the 160–45 ka BP period are from Davtian et al. (2021). The age model of core MD95-2042 for the 160–43 and 43–0 ka BP periods was obtained by tuning to Chinese speleothems (Cheng et al., 2016) and by recalibrating existing 14C ages with the Marine20 calibration curve (Heaton et al., 2020), respectively. MIS, Marine Isotope Stage; GDGT, glycerol dialkyl glycerol tetraether; and N/A, not available. Greenland atmospheric temperature record: This dataset consists in a composite Greenland atmospheric temperature record, which was built with the following records: the GISP2 atmospheric temperature record by Kobashi et al. (2017) for the 10–0 ka BP period, the NGRIP atmospheric temperature record by Kindler et al. (2014) for the 120–10 ka BP period, and the NEEM atmospheric temperature record by NEEM community members (2013) for the 129–120 ka BP period. The NEEM temperature anomalies obtained by NEEM community members (2013) were shifted by –31 °C to obtain absolute air temperatures. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records. Antarctic δ18Oice and atmospheric temperature stacks: This dataset consists in two stacks of three Antarctic records (EDC, EDML, and WD), one for δ18Oice and the other for atmospheric temperature: both stacks are provided with their stacking uncertainties. To build the Antarctic δ18Oice stack, the Antarctic δ18Oice records were resampled every 10 years before centering to zero means and normalization to unit standard deviations over the 140–0 ka BP period (68–0 ka BP for WD). To optimize the continuity between the portions with and without the WD ice core, the Antarctic δ18Oice records were centered to zero means over the 68–67 ka BP period. The resulting Antarctic δ18Oice records were then averaged and stacking uncertainties were calculated as the pooled standard deviation of the stacked Antarctic δ18Oice records divided by the square root of the number of stacked Antarctic δ18Oice records. The final Antarctic δ18Oice stack, expressed in ‰, has the same standard deviation as the δ18Oice record from EDML over the 140–0 ka BP period, and has a zero mean over the 1–0 ka BP. The Antarctic atmospheric temperature stack was built like the Antarctic δ18Oice stack, except that the Antarctic δ18Oice records were corrected for seawater δ18Oice variations before conversion into atmospheric temperature. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records.
    Keywords: air temperature; Alkenones; Antarctica; d18O; GDGTs; Greenland; Iberian margin; IMAGES; International Marine Global Change Study; RI-OH; Sea surface temperature; TEX86; UK'37
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 16
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    Photographs of Potter Cove, King George Island, looking northeast towards glacier in 2009 (2009)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Carlini_Base_C2; Carlini/Jubany Station; DATE/TIME; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany; Jubany_Station_C2; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS; Uniform resource locator/link to image; Uniform resource locator/link to thumbnail; Webcam
    Type: Dataset
    Format: text/tab-separated-values, 1126 data points
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  • 17
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    Photographs of Potter Cove, King George Island, looking northeast towards glacier in 2008 (2008)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Carlini_Base_C2; Carlini/Jubany Station; DATE/TIME; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany; Jubany_Station_C2; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS; Uniform resource locator/link to image; Uniform resource locator/link to thumbnail; Webcam
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 18
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    Amino acids and hexosamine in sediment trap samples from different oceanic areas collected between 1993 and 2017 from shelf seas to the deep ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: This large set of sediment trap samples was collected in different oceanic areas between 1993 and 2017 from shelf seas to the deep ocean. The samples were compiled from previous studies and used for statistical analyses in order to better understand particle dynamics and organic matter cycling in the ocean and to test and refine amino acid (AA) and hexosamine (HA) based biogeochemical indicators. Samples were analysed for total nitrogen (N) using a Carlo Erba nitrogen analyser 1500. Total organic carbon (TOC) was measured with the same instrument after treatment of weighed samples with 1N HCl to remove carbonate. Stable nitrogen isotopes of total particulate nitrogen (δ15N-TPN) were analysed with the mass spectrometer ThermoFisher Scientific MAT 252. AA and HA contents and their individual monomers were analysed by liquid chromatography using a Biochrom 30 amino acid analyzer. Total fluxes, TOC and AA fluxes were calculated in mg m-2 d-1. Contents of AA and HA are presented in µmol/g and µg/g. AAC, AAN, HAC, HAN are presented in µg/g and as percentages of TOC (AA-C/C, HA-C/C) or TN (AA-N/N, HA-N/N). AA and HA monomers are presented in Mol% and comprise aspartic acid (ASP), glutamic acid (Glu), threonine (Thr), serine (Ser), glycine (Gly), alanine (Ala), valine (Val), methionine (Met), isoleucine (Ile), leucine (Leu), tyrosine (Tyr), phenylalanine (Phe), β-Alanine (β-Ala), γ-aminobutyric acid (γ-Aba), histidine (His), ornithine (Orn), lysine (Lys) and arginine (Arg), glucosamine (GlcN) and galactosamine (GalN), cysteic acid (CYA), taurine (TAU), methionine sulfoximine (MSO) and tryptophane (TRP) were determined only in the more recent samples. Data gaps indicate that measurements were not carried out or that they were not stored in the older data sets. The RI was calculated according to Jennerjahn and Ittekkot (1997; https://archimer.ifremer.fr/doc/00093/20403/) and the DI after Dauwe et al. (1999; doi:10.4319/lo.1999.44.7.1809). Definitions of biogeochemical indicators SDI, RTI, ox/anox and a detailed description of the methods can be found in Gaye et al. (2022; doi:org/10.5194/bg-19-807-2022).
    Keywords: Akademik Boris Petrov; Alanine; Amino acid, carbon; Amino acid, carbon of total organic carbon; Amino acid, flux; Amino acid, nitrogen; Amino acid analyser, Biochrom 30; Amino acid nitrogen of total nitrogen; amino acids; Amino acids; Amino acids/hexosamines ratio; Amino acids non-protein; Amino sugar, carbon; Amino sugar, carbon of total organic carbon; Amino sugar, nitrogen; Amino sugar, nitrogen of total nitrogen; Arabian Sea; Arginine; Aspartic acid; Aspartic acid/beta-Alanine ratio; beta-Alanine; BP00; BP00-24a-Yenisei_02; BP01; BP01-61a-Kara_02; BP02; BP02-04-Yenisei_04; BP99; BP99-01-Ob01; BP99-15-Yen01; Calculated after Dauwe et al. 1999; Calculated after Gaye et al. (2022); Calculated after Jennerjahn and Ittekkot (1997); Carbon, organic, flux; Carbon, organic, total; CAST; Central Arabian Sea Trap Station; Cysteic acid; DATE/TIME; Degradation index; degradation indicators; Deployment: BP00-24a; Recovery: BP01-02; Deployment: BP01-61a; Recovery: BP02-01A; Deployment: BP02-04; Recovery: BP03-04a; Deployment: BP99-01; Deployment: M44/1_7ST; Recovery: M44/4_ST244; Deployment: MSM17/3_223-2; Recovery: MSM17/3_258-2; DEPTH, water; EAST; Eastern Arabian Sea Trap Station; Eastern Basin; East Pakistan Trap Station; ENAT; EPT; Event label; Galactosamine; gamma-Aminobutyric acid; Gas chromatography with Carlo Erba NA1500 after treatment with HCL; Gas chromatography with Carlo Erba NA-1500 CNS elemental analyzer; Glucosamine; Glucosamine/Galactosamine ratio; Glutamic acid; Glutamic acid/gamma-Aminobutyric acid ratio; Glycine; hexosamines; Hexosamines; Histidine; INDEX2016_TRAP_01-01; INDEX2016_TRAP_03-01; Indian Ocean; Isoleucine; JAM-1; Kara Sea; Leucine; Location; Lysine; M44/1; M44/1_7-MID; Maria S. Merian; Mass spectrometer, ThermoFisher Scientific MAT 252; Meteor (1986); Methionine; Methionine sulfoximine; MOOR; Mooring; Mooring (long time); MOORY; MSM17/3; MSM17/3_222-M; MSM17/3_223-D; MSM59/2_Deployment_01-01,SO259_Recovery_01-01; MSM59/2_Deployment_03-01,SO259_Recovery_03-01; NAST; NEAST; Nitrogen, total; Northeastern Arabian Sea Trap Station; Northern Arabian Sea Trap Station; off south Java; organic matter degradability; Ornithine; Other event; Ox/Anox ratio; Phenylalanine; Reactivity index of amino acids (Jennerjahn & Ittekkot, 1997); Recovery: MSM17/3_222-4; Reference/source; Reference of data; Residence time index; Sample ID; SAST; Sediment degradation index; sediment trap samples; Serine; sinking particles; South Atlantic Ocean; Southern Arabian Sea Trap Station; Station label; Taurine; Threonine; Total mass, flux per day; Trap; TRAP; Trap, sediment; TRAPS; Tryptophan; Tyrosine; Valine; WAST; Western Arabian Sea Trap Station; West Pakistan Trap Station; WNAT; WPT; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 11335 data points
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  • 19
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    Amino acids and hexosamines in suspended matter samples collected in different oceanic areas between 1999 and 2017 from shelf seas to the deep ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: This large set of suspended matter (SPM) samples was collected in different oceanic areas between 1999 and 2017 from shelf seas to the deep ocean. The samples were compiled from previous studies and used for statistical analyses in order to better understand particle dynamics and organic matter cycling in the ocean and to test and refine amino acid (AA) and hexosamine (HA) based biogeochemical indicators. Samples were analysed for total nitrogen (N) and total carbon (C) using a Carlo Erba nitrogen analyser 1500. Total organic carbon (TOC) was measured with the same instrument after treatment of weighed samples with 1N HCl to remove carbonate. Stable nitrogen isotopes of total particulate nitrogen (δ15N-TPN) were analysed with the mass spectrometer Thermo Finnigan MAT 252. AA and HA contents and their individual monomers were analysed by liquid chromatography using a Biochrom 30 amino acid analyzer. Contents of AA and HA are presented in nmol/g and µg/g. AAC, AAN, HAC, HAN are presented in µg/g and as percentages of TOC (AAC/C, HAC/C) or TN (AAN/N, HAN/N). AA and HA monomers are presented in Mol% and comprise aspartic acid (ASP), glutamic acid (Glu), threonine (Thr), serine (Ser), glycine (Gly), alanine (Ala), valine (Val), methionine (Met), isoleucine (Ile), leucine (Leu), tyrosine (Tyr), phenylalanine (Phe), β-Alanine (β-Ala), γ-aminobutyric acid (γ-Aba), histidine (His), ornithine (Orn), lysine (Lys) and arginine (Arg), glucosamine (Gluam) and galactosamine (Galam). Cysteic acid (CYA), taurine (TAU), methionine sulfoximine (MSO) and tryptophane (TRP) were determined only in the more recent samples. Data gaps indicate that measurements were not carried out or that they were not stored in the older data sets. The RI was calculated according to Jennerjahn and Ittekkot (1997; https://archimer.ifremer.fr/doc/00093/20403/) and the DI after Dauwe et al. (1999; doi:10.4319/lo.1999.44.7.1809). Definitions of biogeochemical indicators SDI, RTI, ox/anox and a detailed description of the methods can be found in Gaye et al. (2022).
    Keywords: Akademik Boris Petrov; Alanine; Amino acid, carbon; Amino acid, carbon of total organic carbon; Amino acid, nitrogen; Amino acid analyser, Biochrom 30; Amino acid nitrogen of total nitrogen; amino acids; Amino acids; Amino acids/hexosamines ratio; Amino acids non-protein; Amino sugar, carbon; Amino sugar, carbon of total organic carbon; Amino sugar, nitrogen; Amino sugar, nitrogen of total nitrogen; Arabian Sea; Arginine; Aspartic acid; Aspartic acid/beta-Alanine ratio; beta-Alanine; BP00; BP00-02; BP00-03; BP00-04; BP00-05; BP00-06; BP00-07; BP00-08; BP00-09; BP00-13; BP00-15; BP00-16; BP00-17; BP00-19; BP00-20; BP00-21; BP00-22; BP00-23; BP00-24; BP00-26; BP00-27; BP00-28; BP00-29; BP00-30; BP00-31; BP00-35; BP00-36; BP00-38; BP99; BP99-01; BP99-03; BP99-08; BP99-11; BP99-13; BP99-17; BP99-20; BP99-21; BP99-25; BP99-26; BP99-30; BP99-31; BP99-32; BP99-35; BP99-37; BP99-FEM; BP99-Ob-Salechard_1; BP99-Ob-Salechard_2; BP99-Soil; BUCKET; Bucket water sampling; Calculated after Dauwe et al. 1999; Calculated after Gaye et al. (2022); Calculated after Jennerjahn and Ittekkot (1997); Campaign of event; Carbon, organic, total; Carbon, total; CTD/Rosette; CTD-RO; Cysteic acid; Date/Time of event; Degradation index; degradation indicators; DEPTH, water; Dredge; DRG; Elevation of event; Event label; Galactosamine; gamma-Aminobutyric acid; Gas chromatography with Carlo Erba NA1500 after treatment with HCL; Gas chromatography with Carlo Erba NA-1500 CNS elemental analyzer; Glucosamine; Glucosamine/Galactosamine ratio; Glutamic acid; Glutamic acid/gamma-Aminobutyric acid ratio; Glycine; hexosamines; Hexosamines; Histidine; INDEX2016_2; INDEX2017; Indian Ocean; Isoleucine; Kara Sea; Latitude of event; Leucine; Location; Longitude of event; Lysine; M103/1; M103/1_10-2; M103/1_1-1; M103/1_11-2; M103/1_20-4; M103/1_2-2; M103/1_22-2; M103/1_2283-1; M103/1_2284-4; M103/1_2285-4; M103/1_2286-1; M103/1_2287-1; M103/1_2288-1; M103/1_2289-4; M103/1_2290-3; M103/1_2291-4; M103/1_28-5; M103/1_30-4; M103/1_3-1; M103/1_34-1; M103/1_4-1; M103/1_43-1; M103/1_44-2; M103/1_45-2; M103/1_46-2; M103/1_47-2; M103/1_48-5; M103/1_5-1; M103/1_53-1; M103/1_59-1; M103/1_6-2; M103/1_65-1; M103/1_67-1; M103/1_7-2; M103/1_8-4; M103/1_9-1; M74/1b; M74/1b_944-1; M74/1b_945-1; M74/1b_946-3; M74/1b_947-1; M74/1b_948-1; M74/1b_949-1; M74/1b_950-3; M74/1b_951-3; M74/1b_953-3; M74/1b_954-1; M74/1b_955-1; M74/1b_956-3; M74/1b_957-4; M74/1b_958-1; M76/2; M76/2_195_WS; M76/2_198_WS; M76/2_200_WS; M76/2_201_WS; M76/2_202_WS; M76/2_204_WS; M76/2_206_WS; M76/2_252_WS; Maria S. Merian; Mass spectrometer, ThermoFisher Scientific MAT 252; Meteor (1986); Methionine; Methionine sulfoximine; MSM59/2; MSM59/2_734-2; MSM59/2_734-3; MSM59/2_739-1; MSM59/2_739-2; MSM59/2_749-1; MSM59/2_749-2; MSM59/2_751-1; MSM59/2_769-1; MSM59/2_769-2; MSM59/2_783-1; MSM59/2_783-2; MULT; Multiple investigations; Namibia upwelling, Southeast Atlantic; Nitrogen, total; organic matter cycling; organic matter degradation; Ornithine; Ox/Anox ratio; Phenylalanine; Reactivity index of amino acids (Jennerjahn & Ittekkot, 1997); Residence time index; Sample ID; Sediment degradation index; Serine; SO259; SO259_100-1; SO259_1-1; SO259_15-1; SO259_16-1; SO259_2-1; SO259_3-1; SO259_4-1; SO259_49-1; SO259_50-1; SO259_5-1; SO259_60-1; SO259_6-1; SO259_61-1; SO259_99-1; Sonne_2; Suspended particulate matter; Taurine; Threonine; Tryptophan; Tyrosine; Valine; Water sample; WS; δ15N, total particulate nitrogen
    Type: Dataset
    Format: text/tab-separated-values, 30425 data points
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  • 20
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    Oxygen isotope and salinity measurements of coastal surface waters in the Gulf of Maine (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: These data include salinity and oxygen isotope measurements of water samples collected from coastal sites along the Gulf of Maine between 2003 and 2015. In particular, a suite of samples were collected along the coast of Maine, east of Penobscot Bay, on a monthly basis between April 2014 and March 2015. These data also include several freshwater samples collected from the Kennebec and Penobscot Rivers on a semi-monthly basis in 2014 and 2015. For the water samples with sample IDs starting with DSW, JSW, NSW, or OSW: The water samples were collected by hand from shore or boat using French square glass bottles with phenolic polycone lined caps. Salinity was measured using a Oakton SALT 6+ handheld salinity meter. Oxygen isotopes were measured using a Picarro L2130-i Isotopic Liquid Water Analyzer with an attached autosampler. Water samples with sample IDs starting with ASW were collected from shore. Samples with sample IDs starting with DMC 2010 were collected at the flowing seawater laboratory at the Darling Marine Center. Samples with sample IDs starting with Summer 2011 were collected from a boat. For these last 3 sample types (ASW, DMC 2010, Summer 2011): Salinity was measured with YSI Professional Plus salinity meter and oxygen isotopes were measured using a Picarro L1102-i Isotopic Liquid Water Analyzer with an attached autosampler. Data from Owen et al., 2008 and Wanamaker et al. (2006, 2007) was collected from the flowing seawater laboratory at the Darling marine center. Salinity was measured using a YSI model 85 oxygen, conductivity, salinity, and temperature system and oxygen isotopes were measured using a dual-inlet VG/Micromass SIRA (CO2–H2O equilibration method at 30 °C for 12 h).
    Keywords: Comment; DATE/TIME; Gulf_of_Maine_water_samples; Gulf of Maine; LATITUDE; LONGITUDE; Oxygen isotopes; Reference of data; Salinity; Sample ID; Water sample; WS; Year of observation; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 1152 data points
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  • 21
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    Photographs of Potter Cove, King George Island, looking northeast towards glacier in 2021 (2021)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Binary Object; Carlini_Base_C2; Carlini/Jubany Station; DATE/TIME; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany; Jubany_Station_C2; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 670 data points
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  • 22
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    Photographs of Potter Cove, King George Island, looking west towards Maxwell Bay in 2021 (2021)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Binary Object; Carlini_Base_C1; Carlini/Jubany Station; DATE/TIME; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany; Jubany_Station_C1; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 375 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 23
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 01-01 (2016-2017) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 01-01 to measure vertical particle flux quantitatively and qualitatively. Mooring 01-01 was deployed during cruise MSM59-2 (RV Maria S. Merian) and recovered during cruise SO259 (RV Sonne).
    Keywords: biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2016_2; INDEX2016_TRAP_01-01; INDEX2017; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Maria S. Merian; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; MSM59/2; MSM59/2_Deployment_01-01; MSM59/2_Deployment_01-01,SO259_Recovery_01-01; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Sample code/label; sediment trap; sinking particulate matter; SO259; SO259_Recovery_01-01; Sonne_2; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 284 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 24
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    A global marine particulate organic carbon-13 isotope data product (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: A new version (2022) is available: https://doi.org/10.1594/PANGAEA.946915 Marine particulate organic carbon-13 stable isotope ratios (δ13CPOC) provide additional constraints and insights on the cycling of carbon from dissolved pools to the marine ecosystem including anthropogenic contributions. For such purposes, robust spatio-temporal coverage of δ13CPOC observations is essential. We collected all such available known data sets, merged and uniformed them to provide – to the best of our knowledge – the largest available marine δ13CPOC data set. The data set consists of 4732 data points covering all major ocean basins from the 1960s to 2010s. We provide the data in twenty-one different files for best direct application on specific research purposes: a csv file including the 4732 δ13CPOC measurements, their anomalies relative to their mean −23.96 ‰ as well as all available meta-information a NetCDF file including an interpolation onto the 1°x1°-resolution grid based on the World Ocean Atlas (WOA18) data product of all δ13CPOC measurements with full spatio-temporal metadata, averaging all observations from each year together, each year accounting for a time increment on the time axis twelve NetCDF files - one for each month of the year - including an interpolation onto the 1°x1°-resolution grid based on the World Ocean Atlas (WOA18) data product of all δ13CPOC measurements with full spatio-temporal metadata, averaging only observations from the respective month, each year accounting for a time increment on the time axis a NetCDF file including an interpolation onto a 1.8°x3.6°-resolution grid of a δ13CPOC simulating model of all δ13CPOC measurements with full spatial metadata six NetCDF files – one for each decade between the 1960s and 2010s – including an interpolation onto the 1.8°x3.6°-resolution grid of a δ13CPOC simulating model of all δ13CPOC measurements with full spatial metadata and available sample year information
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); carbon isotope; Description; global; organic carbon; seawater
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
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    DATA PANGAEA
  • 25
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 03-01 (2016-2017) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 03-01 to measure vertical particle flux quantitatively and qualitatively. Mooring 03-01 was deployed during cruise MSM59-2 (RV Maria S. Merian) and recovered during cruise SO259 (RV Sonne).
    Keywords: biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2016_2; INDEX2016_TRAP_03-01; INDEX2017; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Maria S. Merian; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; MSM59/2; MSM59/2_Deployment_03-01; MSM59/2_Deployment_03-01,SO259_Recovery_03-01; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Sample code/label; sediment trap; sinking particulate matter; SO259; SO259_Recovery_03-01; Sonne_2; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 26
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 01-02 (2017-2018) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 01-02 to measure vertical particle flux quantitatively and qualitatively. Mooring 01-02 was deployed during cruise SO259 (RV Sonne) and recovered during cruise PE446 (RV Pelagia).
    Keywords: 64PE446; 64PE446_Recovery_01-02; biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; Comment; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2017; INDEX2017_TRAP_01-02; INDEX2018; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Pelagia; Sample code/label; sediment trap; sinking particulate matter; SO259; SO259_Deployment_01-02; SO259_Deployment_01-02,64PE446_Recovery_01-02; Sonne_2; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 286 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 27
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 04-03 (2017-2018) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 04-03 to measure vertical particle flux quantitatively and qualitatively. Mooring 04-03 was deployed with three sediment traps at different depths during cruise SO259 (RV Sonne) and recovered during cruise PE446 (RV Pelagia).
    Keywords: 64PE446; 64PE446_Recovery_04-03; biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; Comment; DATE/TIME; DEPTH, water; Depth comment; Duration, number of days; INDEX; INDEX2017; INDEX2017_TRAP_04-03; INDEX2018; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Pelagia; Sample code/label; sediment trap; sinking particulate matter; SO259; SO259_Deployment_04-03; SO259_Deployment_04-03,64PE446_Recovery_04-03; Sonne_2; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 1060 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 28
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 10-01 (2017-2018) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 10-01 to measure vertical particle flux quantitatively and qualitatively. Mooring 10-01 was deployed during cruise SO259 (RV Sonne) and recovered during cruise PE446 (RV Pelagia).
    Keywords: 64PE446; 64PE446_Recovery_10-01; biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2017; INDEX2017_TRAP_10-01; INDEX2018; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Pelagia; Sample code/label; sediment trap; sinking particulate matter; SO259; SO259_Deployment_10-01; SO259_Deployment_10-01,64PE446_Recovery_10-01; Sonne_2; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 29
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    Water column raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO269 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: Water column raw data using the ship's own Kongsberg EM 122 multibeam echosounder was recorded on 20 days between 2019-08-06 and 2019-09-03 RV SONNE cruise SO269 in the South China Sea. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH and added to the corresponding multibeam raw dataset https://doi.org/10.1594/PANGAEA.945591 This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM).
    Keywords: Bathymetry; Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO269; SO269_0_Underway-3; Sonne_2; 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 Simrad EM122 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 2574 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 30
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 04-01 (2015-2016) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 04-01 to measure vertical particle flux quantitatively and qualitatively. Mooring 04-01 was deployed during cruise PE405 (RV Pelagia) and recovered during cruise MSM59-2 (RV Maria S. Merian).
    Keywords: 64PE405; 64PE405_Deployment_04-01; 64PE405_Deployment_04-01,MSM59/2_Recovery_04-01; biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2015; INDEX2015_TRAP_04-01; INDEX2016_2; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Maria S. Merian; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; MSM59/2; MSM59/2_Recovery_04-01; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Pelagia; Sample code/label; sediment trap; sinking particulate matter; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 234 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 31
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    Nitrous oxide concentration from South Pole Ice (SPICE) core for the last 11 thousand years (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: Nitrous oxide (N2O) is an important greenhouse gas which destroys the ozone in the stratosphere. Primary sources of atmospheric N2O are nitrification and denitrification in terrestrial soils and the ocean, and the main sink is photolysis in the stratosphere. Studies have mostly focused on the climate-related response of N2O during glacial-interglacial periods. However, its mechanism of variation during the Holocene remains unclear. We present a high-resolution N2O record from the South Pole Ice (SPICE) core covering the Holocene epoch.
    Keywords: AGE; DEPTH, ice/snow; Electromechcanical / U.S. Intermediate Depth Drill; Holocene; Ice core; N2O; nitrous oxide; Nitrous oxide; Nitrous oxide, standard deviation; South Pole; SPC14; SPICE, South Pole Ice Core; Wet extraction technique; followed by Gas Chromatography-Mass Spectrometer, Agilent, 7890a
    Type: Dataset
    Format: text/tab-separated-values, 365 data points
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    DATA PANGAEA
  • 32
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    (Table S1) Stable isotope record and growth rates of cultured Mytilus edulis (2007)
    PANGAEA
    In:  Supplement to: Wanamaker, Alan D; Kreutz, Karl J; Borns, Harold W; Introne, Douglas S; Feindel, Scott; Funder, Svend; Rawson, Paul D; Barber, Bruce J (2007): Experimental determination of salinity, temperature, growth, and metabolic effects on shell isotope chemistry of Mytilus edulis collected from Maine and Greenland. Paleoceanography, 22, PA2217, https://doi.org/10.1029/2006PA001352
    Details
    Publication Date: 2024-06-29
    Description: To study the effects of temperature, salinity, and life processes (growth rates, size, metabolic effects, and physiological/genetic effects) on newly precipitated bivalve carbonate, we quantified shell isotopic chemistry of adult and juvenile animals of the intertidal bivalve Mytilus edulis (Blue mussel) collected alive from western Greenland and the central Gulf of Maine and cultured them under controlled conditions. Data for juvenile and adult M. edulis bivalves cultured in this study, and previously by Wanamaker et al. (2006, doi:10.1029/2005GC001189), yielded statistically identical paleotemperature relationships. On the basis of these experiments we have developed a species-specific paleotemperature equation for the bivalve M. edulis [T °C = 16.28 (±0.10) - 4.57 (±0.15) {d18Oc VPBD - d18Ow VSMOW} + 0.06 (±0.06) {d18Oc VPBD - d18Ow VSMOW}**2; r**2 = 0.99; N = 323; p 〈 0.0001]. Compared to the Kim and O'Neil (1997) inorganic calcite equation, M. edulis deposits its shell in isotope equilibrium (d18Ocalcite) with ambient water. Carbon isotopes (d13Ccalcite) from sampled shells were substantially more negative than predicted values, indicating an uptake of metabolic carbon into shell carbonate, and d13Ccalcite disequilibrium increased with increasing salinity. Sampled shells of M. edulis showed no significant trends in d18Ocalcite based on size, cultured growth rates, or geographic collection location, suggesting that vital effects do not affect d18Ocalcite in M. edulis. The broad modern and paleogeographic distribution of this bivalve, its abundance during the Holocene, and the lack of an intraspecies physiologic isotope effect demonstrated here make it an ideal nearshore paleoceanographic proxy throughout much of the North Atlantic Ocean.
    Keywords: -; Damariscotta; Event label; Greenland; Growth rate; Gulf of Maine; HAND; Mytilus edulis, shell length; Salinity; Sample comment; Sample ID; Sampling by hand; Sisimiut_2004; Temperature, difference; Temperature, water; Δδ18O; δ13C, dissolved inorganic carbon; δ13C, skeletal carbonate; δ18O, skeletal carbonate; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 3472 data points
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    DATA PANGAEA
  • 33
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    Photographs of Potter Cove, King George Island, looking northeast towards glacier in 2020 (2020)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Binary Object; Carlini_Base_C2; Carlini/Jubany Station; DATE/TIME; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany; Jubany_Station_C2; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 486 data points
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  • 34
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    Photographs of Potter Cove, King George Island, looking west towards Maxwell Bay in 2020 (2020)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Binary Object; Carlini_Base_C1; Carlini/Jubany Station; DATE/TIME; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany; Jubany_Station_C1; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 251 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 35
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 05-01 (2014-2015) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 05-01 to measure vertical particle flux quantitatively and qualitatively. Mooring 05-01 was deployed during cruise PE394 (RV Pelagia) and recovered during cruise PE405.
    Keywords: 64PE394; 64PE394_Deployment_05-01; 64PE394_Deployment_05-01,64PE405_Recovery_05-01; 64PE405; 64PE405_Recovery_05-01; biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2014; INDEX2014_TRAP_05-01; INDEX2015; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Pelagia; Sample code/label; sediment trap; sinking particulate matter; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 36
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    Photographs of Potter Cove, King George Island, looking northeast towards glacier in 2023 (2023)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Description: The dataset contains the photos of Potter Cove, taken near Carlini Base in 2023. Camera: Panasonic, WV-S1531L positioned at the rear entrance of Dallmann laboratory at Jubany Station. Distance between posts is approximately 4.5 m. Picture series was started in 2019 and documents ice cover in the bay, glacier front and cloud cover of the sky. Size of images: 2048 x 1536 pixel. Format of the photos is JPG.
    Keywords: Carlini_Base_C2; Carlini/Jubany Station; DATE/TIME; Image, earth surface (water, ice, land); Jubany; Jubany_Station_C2; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 603 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 37
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    Benthic foraminifera census data of sediment core GeoTü SL167 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The data set contains census counts of deep-sea benthic foraminifera from the Late Quaternary section of sediment core GeoTü SL167. Given are counted individuals of benthic foraminiferal taxa versus sediment depth in cm below sea floor. The counts are based on representative splits of the size fraction 〉125 µm. The original counting and taxonomic revision were carried out in 2022. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Acervulina inhaerens; Alliatina primitiva; Alliatinella differens; Allomorphina pacifica; Ammobaculites cf. agglutinans; Ammonia spp.; Ammoscalaria compressa; Amphicoryna hirsuta; Amphicoryna papillosa; Amphicoryna scalaris; Amphicoryna spp.; Amphistegina spp.; Anomalinoides cf. welleri; Anomalinoides globulosus; Anomalinoides spp.; Articulina pacifica; Articulina sp.; Astacolus spp.; Astrononion cf. stelligerum; Astrononion echolsi; Benthic foraminifera; Biloculinella inflata; Biloculinella labiata; Bolivina aff. dilatata; Bolivina cistina; Bolivina dilatata; Bolivina persiensis; Bolivina pygmaea; Bolivina spp.; Bolivina striatula; Bolivina subreticulata; Bolivina subspinescens; Bolivinella aff. seminuda; Bolivinella seminuda; Bolivinita quadrilatera; Borelis sp.; Bulimina aculeata; Bulimina alazanensis; Bulimina arabiensis; Bulimina costata; Bulimina marginata; Bulimina striata; Buliminella elegantissima; Cancris auriculus; Cassidulina crassa; Cassidulina laevigata; Chilostomella oolina; Chilostomella ovoidea; Cibicides mabahethi; Cibicides pachyderma; Cibicides refulgens; Cibicides spp.; Cibicidoides spp.; Cibicidoides wuellerstorfi; Clavulina angularis; Clavulina humilis; Cornuloculina inconstans; Cornuspira involvens; Counting 〉125 µm fraction; Cribrobigenerina textularioidea; Cribrostomoides jeffreysii; Cribrostomoides subglobosum; Cymbaloporetta spp.; deep-sea biodiversity; Dentalina spp.; DEPTH, sediment/rock; Discanomalina coronata; Discorbina candeiana; Discorbinella bertheloti; Discorbis spp.; Eggerella bradyi; Eggerelloides scabrus; Ehrenbergina trigona; Elphidium spp.; Epistominella cf. exigua; Eponides pusillus; Eponides repandus; Eubuliminella exilis; Euloxostomum pseudobeyrichi; Evolvocassidulina bradyi; Favulina hexagona; Favulina spp.; Fissurina spp.; Foraminifera, benthic; Foraminifera, benthic hyaline-perforate indeterminata; Fursenkoina bradyi; Fursenkoina cf. earlandi; Fursenkoina mexicana; Fursenkoina subacuta; Gaudryina sp.; Gavelinopsis praegeri; Glabratellina kermadecensis; Glabratellina patelliformis; Glandulina spp.; Globobulimina pupoides; Globobulimina pyrula; Globocassidulina subglobosa; Gravity corer (Kiel type); Grigelis pyrula; Guttulina communis; Gyroidina polia; Gyroidina umbonata; Hansenisca soldanii; Hanzawaia grossepunctata; Haynesina depressula; Haynesina spp.; Heronallenia spp.; Heterolepa bradyi; Heterolepa praecincta; Heterostegina sp.; Hoeglundina elegans; Hopkinsinella sp.; Hormosina sp.; Hyalinea balthica; Hyalinonetrion gracillimum; Ioanella tumidula; Karreriella bradyi; Laevidentalina baggi; Laevidentalina communis; Laevidentalina sidebottomi; Laevidentalina spp.; Lagena hispidula; Lagena spicata; Lagena spp.; Lamarckina scabra; Lenticulina calcar; Lenticulina gibba; Lenticulina limbosa; Lenticulina spp.; Lernella inflata; Lobatula lobatula; M74/1b; M74/1b_960-1; Marginulinopsis spp.; Martinottiella communis; Melonis affinis; Meteor (1986); Miliolinella spp.; Miliolinella subrotunda; Mississippina concentrica; Neoconorbina spp.; Neoeponides spp.; Neolenticulina occidentalis; Neolenticulina variabilis; Nodosaria spp.; Nonion cf. asterizans; Nonionella spp.; Nonionella stella; Nummoloculina contraria; Oman Margin; Oolina spp.; Operculina philippinensis; Oridorsalis umbonatus; Orthomorphina challengeriana; Osangularielloides rugosus; Oxygen; Palliolatella spp.; Parafissurina admiralis; Parafissurina spp.; Pararotalia sp.; Pararotalia stellata; Parasorites sp.; Patellina cf. corrugata; Patellinella inconspicua; Peneroplis pertusus; Pileolina minogasaformis; Planodiscorbis sp.; Planorbulinella larvata; Planularia australis; Planularia patens; Planulina ariminensis; Planulina limbata; Polymorphina sp.; Praeglobobulimina sp.; Procerolagena cylindrocostata; Proemassilina arenaria; Psammosphaera sp.; Pseudobrizalina lobata; Pseudofissurina sp.; Pseudogaudryina pacifica; Pseudohauerina sp.; Pseudomassilina sp.; Pseudononion japonicum; Pseudotriloculina laevigata; Pseudotriloculina oblonga; Pullenia bulloides; Pullenia quinqueloba; Pyramidulina catesbyi; Pyramidulina luzonensis; Pyramidulina spp.; Pyrgo anomala; Pyrgo cf. murrhina; Pyrgoella sphaera; Pyrgo spp.; Pyrulina sp.; Quaternary; Quinqueloculina auberiana; Quinqueloculina cf. venusta; Quinqueloculina seminulum; Quinqueloculina spp.; Rectobolivina bifrons; Recurvoides contortus; Reophax spp.; Reussella spinulosa; Rhizammina sp.; Robertina cf. translucens; Rosalina bradyi; Rosalina spp.; Rotaliatinopsis semiinvoluta; Rotalinoides compressiuscula; Rotamorphina involuta; Rotorbis auberii; Rugobolivinella elegans; Sagrina zanzibarica; Sahulia conica; Saidovina amygdalaeformis; Saintclairoides toreutus; Saracenaria altifrons; Saracenaria italica; Saracenaria latifrons; Saracenaria spp.; Sigmoilopsis schlumbergeri; Siphogenerina columellaris; Siphogenerina dimorpha; Siphonina tubulosa; Siphotextularia foliosa; Siphotextularia heterostoma; Siphouvigerina porrecta; Siphouvigerina proboscidea; SL; SL 167; Sphaerogypsina globulus; Sphaeroidina bulloides; Spirillina spp.; Spiroloculina spp.; Spirophthalmidium sp.; Spiroplectinella wrighti; Spirorutilus carinatus; Spirosigmoilina tenuis; Spirotextularia fistulosa; Spirotextularia floridana; Stainforthia concava; Textularia calva; Textularia conica; Textularia porrecta; Textularia spp.; Tretomphaloides concinnus; Trifarina angulosa; Trifarina bradyi; Triloculina spp.; Triloculina tricarinata; Trochammina spp.; Trochulina sp.; Uvigerina flintii; Uvigerina peregrina; Uvigerina semiornata; Vaginulinopsis sublegumen; Valvulineria bradyana; Valvulineria laevigata; Valvulineria minuta; Vertebralina sp.; Virgulinella pertusa; Virgulopsis spinea; Wiesnerella auriculata
    Type: Dataset
    Format: text/tab-separated-values, 37399 data points
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  • 38
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    Stable oxygen isotopes of snow pit Victoria_Lower_Glacier (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: DEPTH, ice/snow; Mass spectrometer Finnigan Delta-S; McMurdo Dry Valleys, southern Victorica Land, Antarctica; NewZealand_Antarctic_Expedition; Sample ID; Scott Base; SNOWPIT; Snow pit; Victoria_Lower_Glacier; VLG_II; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 185 data points
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  • 39
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    Measurements of the coelenteron pH in a reef coral, Stylophora pistillata, using microsensors, under light and dark conditions and in tissues with different dinoflagellate densities (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: pH measurements in the cœlenteron (pHcoel) of a reef coral, Stylophora pistillata, were performed using the microsensor technique. Seven samples grown in long-term coral culture facilities on glass slides at the Centre Scientifique de Monaco were used for this study. Measuremetns were made using motorised micromanipulator for precise movements of the microsensor on the order of micrometres. We first performed depth profiles in the polyps and in the coenosarc in tissue with a high dinoflagellate density, under light conditions to determine the variation of pHcoel. We then measured pHcoel of polyps and coenosarc at eight light intensities, from darkness to strong illumination, which allowed us to derive a pHcoel-irradiance curve and evaluate the role of photosynthesis in influencing pH in the coelenteron. Finally, we measured pHcoel in the coenosarc under light and dark conditions in two regions of interest characterised by visually different densities of dinoflagellates residing within the coral tissue: a high dinoflagellate density (HDD) tissue at the centre of the microcolonies and a low dinoflagellate density (LDD) tissue at the edge of microcolonies. For each sample, at least three replicate measurements were performed under all conditions.
    Keywords: calcification; coenosarc; Date/time end, experiment; Date/time start, experiment; Depth in coral tissue; Dinoflagellate; Figure; Laboratory experiment; Light bulb, Nepturion, BLV HQI 150W; pH; pH, standard deviation; Photosynthesis; pH sensor, Mettler Toledo, InLab Pure Pro-ISM; mounted on Motorized micromanipulator, PyroScience, MUX2 [software Profix , PyroScience, version 4.51; Macroscope, Leica Microsystems, Z16 APO]; polyp; Portable 2-channel multimeter, Hach, HQ40D; Salinity; Stylophora pistillata, coelenteron in coenosarc, pH; Stylophora pistillata, coelenteron in coenosarc, pH, standard deviation; Stylophora pistillata, coelenteron in coenosarc in high dinoflagellate density tissues, pH; Stylophora pistillata, coelenteron in coenosarc in high dinoflagellate density tissues, pH, standard deviation; Stylophora pistillata, coelenteron in coenosarc in low dinoflagellate density tissues, pH; Stylophora pistillata, coelenteron in coenosarc in low dinoflagellate density tissues, pH, standard deviation; Stylophora pistillata, coelenteron in polyp, pH; Stylophora pistillata, coelenteron in polyp, pH, standard deviation; Stylophora pistillata, coenosarc, pH; Stylophora pistillata, coenosarc, pH, standard error; Stylophora pistillata, polyp, pH; Stylophora pistillata, polyp, pH, standard error; Temperature, water; Thermometer, Ponsel; Treatment: light intensity; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 439 data points
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  • 40
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    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM108 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: Multibeam data were collected with RV Maria S. Merian along the route of cruise MSM108. Multibeam sonar system was Kongsberg EM122. 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 Kongsberg multibeam processing format (.all) were recorded with Kongsberg SIS. Raw data files can be processed using software packages like CARIS HIPS/SIPS or MB-System. For updated vessel configuration file 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; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; FRAM 2022; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM108; MSM108_0_Underway-2; MSM108_1-1; MSM108_1-4; MSM108_15-1; MSM108_19-1; MSM108_21-1; MSM108_25-2; MSM108_27-6; MSM108_38-12; MSM108_38-2; MSM108_38-6; MSM108_38-9; MSM108_45-1; MSM108_5-10; MSM108_9-5; MUC; Multibeam; MultiCorer; North Greenland Sea; Number of pings; 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
    Type: Dataset
    Format: text/tab-separated-values, 8383 data points
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  • 41
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    Master tracks in different resolutions of SONNE cruise SO303, Port Louis - Colombo, 2024-01-10 - 2024-02-19 (2024)
    PANGAEA
    In:  University of Hamburg, Germany
    Details
    Publication Date: 2024-06-29
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO303 were processed to receive a validated master track which can be used as reference of further expedition data. During SO303 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: BIOGIN (IIEO2); Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; SO303; SO303-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 11600 data points
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  • 42
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    Multibeam bathymetry raw data (Kongsberg EM712 entire dataset) of RV MARIA S. MERIAN during cruise MSM108 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: Multibeam data were collected with RV Maria S. Merian along the route of cruise MSM108. Multibeam sonar system was Kongsberg EM712. 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 Kongsberg multibeam processing format (.all) were recorded with Kongsberg SIS. Raw data files can be processed using software packages like CARIS HIPS/SIPS or MB-System. For updated vessel configuration file 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; ELEVATION; EM712; EM712 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; FRAM 2022; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM108; MSM108_0_Underway-7; MSM108_1-4; MSM108_15-1; MSM108_19-1; MSM108_21-1; MSM108_25-2; MSM108_27-6; MSM108_38-12; MSM108_38-2; MSM108_38-6; MSM108_38-9; MSM108_45-1; MSM108_5-10; MSM108_9-5; MUC; Multibeam; MultiCorer; North Greenland Sea; Number of pings; 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
    Type: Dataset
    Format: text/tab-separated-values, 585 data points
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  • 43
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    Master track of SONNE cruise SO303 in 1 sec resolution (zipped, 147 MB) (2024)
    PANGAEA
    In:  University of Hamburg, Germany
    Details
    Publication Date: 2024-06-29
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO303 were processed to receive a validated master track which can be used as reference of further expedition data. During SO303 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; BIOGIN (IIEO2); CT; DAM_Underway; DAM Underway Research Data; SO303; SO303-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 146.8 MBytes
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  • 44
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    Alkenone-based sea surface temperature reconstruction of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: This data set contains the unsaturation ratio of C37 alkenones and the alkenone-derived sea surface temperature reconstructions of sediment core GeoTü SL167. The measurements of the alkenones were carried out using a Thermo Scientific Trace 1310 GC-FID. The unsaturation ratio of C37 alkenones were converted into sea surface temperatures using a regional core top calibration of Indian Ocean sediments by Sonzogni et al. (1997). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the northwestern Arabian Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: AGE; Alkenone, unsaturation index UK'37; alkenone SST; Alkenone Uk'37 index; Arabian Sea; Calculated from UK'37 (Sonzogni et al., 1997); DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gas chromatography - Flame Ionization Detection (GC-FID), Thermo Scientific, Trace 1310; Gravity corer (Kiel type); Indian Monsoon; M74/1b; M74/1b_960-1; Meteor (1986); Oman Margin; Quaternary paleoclimatic records; Sea surface temperature; Sea surface temperature, standard deviation; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 1095 data points
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  • 45
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    Lithogenic accumulation rates of sediment core SO90_63KA (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: Accumulation rate, lithogenic; AGE; Alkenones; Arabian Sea; CAHOL; CAME-II_CAHOL; Crossing Climatic Tipping Points - Central Asian Holocene Climate; DEPTH, sediment/rock; Grain Size; KAL; Kasten corer; n-alkanes; PAKOMIN; SO90; SO90_63KA; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 172 data points
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  • 46
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    Grain sizes distribution of sediment core SO90_63KA (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: AGE; Alkenones; Arabian Sea; CAHOL; CAME-II_CAHOL; Crossing Climatic Tipping Points - Central Asian Holocene Climate; DEPTH, sediment/rock; Grain Size; KAL; Kasten corer; n-alkanes; PAKOMIN; Size fraction; SO90; SO90_63KA; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 9344 data points
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  • 47
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    n-Alkane content in sediment core SO90_63KA (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: AGE; Alkenones; Arabian Sea; Average chain length, n-Alkanes, C27-C33; CAHOL; CAME-II_CAHOL; Carbon Preference Index, n-Alkanes (C27-C33); Crossing Climatic Tipping Points - Central Asian Holocene Climate; DEPTH, sediment/rock; Grain Size; KAL; Kasten corer; n-Alkane, C31/(C29+C31) ratio; n-Alkane, C33/(C29+C33) ratio; n-Alkane C23 of total alkanes; n-Alkane C24 of total alkanes; n-Alkane C25 of total alkanes; n-Alkane C26 of total alkanes; n-Alkane C27 of total alkanes; n-Alkane C28 of total alkanes; n-Alkane C29 of total alkanes; n-Alkane C30 of total alkanes; n-Alkane C31 of total alkanes; n-Alkane C32 of total alkanes; n-Alkane C33 of total alkanes; n-Alkane C34 of total alkanes; n-Alkane C35 of total alkanes; n-alkanes; PAKOMIN; SO90; SO90_63KA; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 2788 data points
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  • 48
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    Ice presence in Potter Cove in 2014-2017 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: Antarctic; Benthos; biogeochemistry; Carlini/Jubany Station; DATE/TIME; El Niño; glacial melt; Ice presence; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; la Niña; Microphytobenthos; MULT; Multiple investigations; Oxygen; Photographic observations; PotterCove; Potter Cove, King George Island, Antarctic Peninsula; seasonal; sediments
    Type: Dataset
    Format: text/tab-separated-values, 1444 data points
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  • 49
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    Antarctic δ18Oice and atmospheric temperature stacks of the WD, EDC, and EDML ice cores (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: This dataset consists in two stacks of three Antarctic records (EDC, EDML, and WD), one for δ18Oice and the other for atmospheric temperature: both stacks are provided with their stacking uncertainties. To build the Antarctic δ18Oice stack, the Antarctic δ18Oice records were resampled every 10 years before centering to zero means and normalization to unit standard deviations over the 140–0 ka BP period (68–0 ka BP for WD). To optimize the continuity between the portions with and without the WD ice core, the Antarctic δ18Oice records were centered to zero means over the 68–67 ka BP period. The resulting Antarctic δ18Oice records were then averaged and stacking uncertainties were calculated as the pooled standard deviation of the stacked Antarctic δ18Oice records divided by the square root of the number of stacked Antarctic δ18Oice records. The final Antarctic δ18Oice stack, expressed in ‰, has the same standard deviation as the δ18Oice record from EDML over the 140–0 ka BP period, and has a zero mean over the 1–0 ka BP. The Antarctic atmospheric temperature stack was built like the Antarctic δ18Oice stack, except that the Antarctic δ18Oice records were corrected for seawater δ18Oice variations before conversion into atmospheric temperature. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records.
    Keywords: AGE; air temperature; Alkenones; Antarctica; Antarctica, west; Calculated according to Parrenin et al. 2013; Calculated according to Parrenin et al. 2013; Bintanja et al. 2008; Core; d18O; Dome C; Dome C, Antarctica; EDC; EDML; EDRILL; EPICA-Campaigns; EPICA Dome C; EPICA drill; EPICA Dronning Maud Land, DML28C01_00; GDGTs; Greenland; Iberian margin; ICEDRILL; Ice drill; IMAGES; International Marine Global Change Study; Kohnen Station; RI-OH; Sea surface temperature; Temperature, air; Temperature, air, standard deviation; TEX86; UK'37; WAIS Divide; WDC-06A; δ18O, water; δ18O, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 69900 data points
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  • 50
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    Age model of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 51
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    Nitrogen isotope record and TOC accumulation rates of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 52
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    n-Alkane of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The data sets contains n-alkane data of sediment core GeoTü SL167.he measurements of n-alkanes were carried out using Thermo Scientific Trace 1310 GC-FID and Thermo Scientific DSQ II (GC-MS). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: (Lycopane + n-alkane C35)/n-alkane C31 ratio; AGE; Age model; Arabian Sea; Average chain length, n-Alkanes, C27-C33; Carbon Preference Index, n-Alkanes (C27-C33); CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gas chromatograph, Thermo Scientific, Trace 1310 (GC-FID) and Thermo Scientific DSQ II (GC-MS); Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 1095 data points
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  • 53
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    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 07-01 (2017-2018) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 07-01 to measure vertical particle flux quantitatively and qualitatively. Mooring 07-01 was deployed during cruise SO259 (RV Sonne) and recovered during cruise PE446 (RV Pelagia).
    Keywords: 64PE446; 64PE446_Recovery_07-01; biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; Comment; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2017; INDEX2017_TRAP_07-01; INDEX2018; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Pelagia; Sample code/label; sediment trap; sinking particulate matter; SO259; SO259_Deployment_07-01; SO259_Deployment_07-01,64PE446_Recovery_07-01; Sonne_2; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 361 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
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    Unknown
    Stable oxygen isotopes of snow pit Polar_Plateau (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: DEPTH, ice/snow; Mass spectrometer Finnigan Delta-S; McMurdo Dry Valleys, southern Victorica Land, Antarctica; NewZealand_Antarctic_Expedition; Polar_Plateau; PP; Sample ID; Scott Base; SNOWPIT; Snow pit; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 359 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 55
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    Unknown
    Biogeochemical data of sinking particulate matter collected by sediment trap mooring 12-01 (2017-2018) in the South Indian Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The Universität Hamburg is part of the environmental studies in the INDEX (Indian Ocean Exploration) program, which was established by the BGR (Federal Institute for Geosciences and Natural Resources), Hanover. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. Sinking particulate matter samples were collected by sediment trap mooring 12-01 to measure vertical particle flux quantitatively and qualitatively. Mooring 12-01 was deployed during cruise SO259 (RV Sonne) and recovered during cruise PE446 (RV Pelagia).
    Keywords: 64PE446; 64PE446_Recovery_12-01; biogeochemical data; Calcium carbonate, flux; Calcium carbonate, flux of total flux; Calculated; Carbon, carbonate, flux of total flux; Carbon, organic, flux; Carbon, organic, flux of total flux; Carbon, total, flux; Carbon, total, flux of total flux; DATE/TIME; DEPTH, water; Duration, number of days; INDEX; INDEX2017; INDEX2017_TRAP_12-01; INDEX2018; Indian Ocean; Lithogenic, flux; Lithogenic, flux of total flux; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Mooring (long time); MOORY; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux; Opal, flux of total flux; Organic matter, flux; Organic matter, flux of total flux; Pelagia; Sample code/label; sediment trap; sinking particulate matter; SO259; SO259_Deployment_12-01; SO259_Deployment_12-01,64PE446_Recovery_12-01; Sonne_2; Subtropical gyre; Total mass, flux per day
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 56
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    Amino acids and hexosamines of sediment samples from different oceanic areas between 1987 and 2015 from shelf seas to the deep ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: This large set of sediment samples was collected in different oceanic areas between 1987 and 2015 from shelf seas to the deep ocean. The samples were compiled from previous studies and consist of surface sediments and sediment cores. Data are used for statistical analyses in order to better understand particle dynamics and early diagenetic processes in sediments and furthermore to test and refine amino acid (AA) and hexosamine (HA) based biogeochemical indicators. Samples were analysed for total nitrogen (N) using a Carlo Erba nitrogen analyser 1500. Total organic carbon (TOC) was measured with the same instrument after treatment of weighed samples with 1N HCl to remove carbonate. Stable nitrogen isotopes of total particulate nitrogen (δ15N-TPN) were analysed with the mass spectrometer Thermo Finnigan MAT 252. AA and HA contents and their individual monomers were analysed by liquid chromatography using a Biochrom 30 amino acid analyzer. Contents of AA and HA are presented in nmol/g and µg/g. AAC, AAN, HAC, HAN are presented in µg/g and as percentages of TOC (AAC/C, HAC/C) or TN (AAN/N, HAN/N). AA and HA monomers are presented in Mol% and comprise aspartic acid (ASP), glutamic acid (Glu), threonine (Thr), serine (Ser), glycine (Gly), alanine (Ala), valine (Val), methionine (Met), isoleucine (Ile), leucine (Leu), tyrosine (Tyr), phenylalanine (Phe), β-Alanine (β-Ala), γ-aminobutyric acid (γ-Aba), histidine (His), ornithine (Orn), lysine (Lys) and arginine (Arg), glucosamine (Gluam) and galactosamine (Galam). Cysteic acid (CYA), taurine (TAU), methionine sulfoximine (MSO) and tryptophane (TRP) were determined only in the more recent samples. Data gaps indicate that measurements were not carried out or that they were not stored in the older data sets. The RI was calculated according to Jennerjahn and Ittekkot (1997; https://archimer.ifremer.fr/doc/00093/20403/) and the DI after Dauwe et al. (1999; doi:10.4319/lo.1999.44.7.1809). Definitions of biogeochemical indicators SDI, RTI, ox/anox and a detailed description of the methods can be found in Gaye et al. (2022).
    Keywords: 101; 107; 11#1; 111; 116; 118; 26#3; 31#9; 34#1; 35#4; 372; 399; 41; 44/04/05; 46#2; 49#2; 54; 560; 561; 562; 563; 564; 565; 566; 569; 570; 571; 573; 574; 575; 576; 577; 578; 579; 58#2; 580; 594; 596; 6#1; 601; 602; 604; 62#2; 62#4; 622, WAST; 640, CAST; 666; 670; 671; 672; 673; 674; 676; 683; 684; 686; 687; 689; 695; 696; 699; 7#4; 70#2; 700; 701; 702; 704; 707; 710; 712; 714; 716; 717; 719; 80; 82; 85; 85#2; 88#3, WAST; 90; 95#4; AHAB05; AHAB3; Akademik Boris Petrov; Alanine; Alexander von Humboldt; Amino acid, carbon; Amino acid, carbon of total organic carbon; Amino acid, nitrogen; Amino acid analyser, Biochrom 30; Amino acid nitrogen of total nitrogen; amino acids; Amino acids; Amino acids/hexosamines ratio; Amino acids non-protein; Amino sugar, carbon; Amino sugar, carbon of total organic carbon; Amino sugar, nitrogen; Amino sugar, nitrogen of total nitrogen; Arabian Sea; Arginine; Aspartic acid; Aspartic acid/beta-Alanine ratio; AvH44/04/03; AvH44/04/03_265750-2; AvH44/04/03_265760-2; AvH44/04/03_265850-2; AvH44/04/03_265860-2; AvH44/04/03_265870-2; AvH44/04/03_265890-2; AvH44/04/03_265900-2; AvH44/04/03_265930-3; AvH44/04/03_265940-2; AvH44/04/03_265970-2; AvH44/04/03_265990-2; AvH44/04/03_266030-3; AvH44/04/03_266050-3; AvH44/04/03_266060-3; AvH44/04/03_266070-2; AvH44/04/03_266080-2; AvH44/04/03_266090-3; AvH44/04/03_266100-3; AvH44/04/03_266110-2; AvH44/04/03_266120-3; AvH44/04/03_266130-2; AvH-5_266210_2; AvH-5_266230_1; AvH-5_266260_2; AvH-5_266270_2; AvH-5_266310_2; AvH-5_266360_2; AvH-5_266380_2; AvH-5_266390_2; AvH-5_266450_2; AvH-5_266480_2; AvH-5_266520_2; AvH-5_266550_2; AvH-5_266590_2; AvH-5_266600_2; AvH-5_266630_2; AvH-5_266640_2; AvH-5_266650_2; AvH-5_266660_2; AvH-5_266680_2; AvH-5_266690_2; AvH-5_266695_2; AvH-5_266710_2; AvH-5_266720_2; AvH-5_266750_2; AvH-5_266930_2; AvH-5_266940_2; AvH-5_267000_2; BCR; Bengal; Benguela Upwelling; beta-Alanine; BIGSET-1; BIGSET-2/JGOFS-IN-4; Biotrans; Box corer (Reineck); BP00; BP00-02/03; BP00-07/08; BP00-08/03; BP00-09/03; BP00-16/04; BP00-17/03; BP00-22/03; BP00-23/05; BP00-26/03; BP00-27/01; BP00-28/01; BP00-29/02; BP00-35/03; BP00-36/08; BP97; BP97-01; BP97-10; BP97-12; BP97-17; BP97-19; BP97-21; BP97-24; BP97-27; BP97-30; BP97-32; BP97-42; BP97-43; BP97-46; BP97-47; BP97-48; BP97-49; BP97-50; BP97-52; BP97-55; BP97-56; BP97-58; BP99; BP99-01/05; BP99-02/04; BP99-03/05; BP99-04/05; BP99-08/06; BP99-11/05; BP99-12/05; BP99-13/05; BP99-17/04; BP99-18/05; BP99-19/06; BP99-20/04; BP99-25/06; BP99-29/06; BP99-30/06; BP99-31/06; BP99-35/05; BP99-39/05; Calculated after Dauwe et al. 1999; Calculated after Gaye et al. (2022); Calculated after Jennerjahn and Ittekkot (1997); Campaign of event; Carbon, organic, total; Central Arabian Sediment Trap; CTD/Rosette; CTD-RO; Cyprus; Cysteic acid; Date/Time of event; Degradation index; degradation indicators; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIVERSE; Drifter; Eastern Arabian Sediment Trap; Eastern Mediterranean, Continental slope off Israel; Elevation of event; Eratosthenes Seamount; Event label; Galactosamine; gamma-Aminobutyric acid; Gargano Promontory; Gas chromatography with Carlo Erba NA1500 after treatment with HCL; Gas chromatography with Carlo Erba NA-1500 CNS elemental analyzer; GC; GeoB10701-4; GeoB10704-3; GeoB10705-3; GeoB10706-3; GeoB10707-4; GeoB10708-3; GeoB10710-4; GeoB10716-3; GeoB10717-3; GeoB10719-3; GeoB10720-5; GeoB10721-3; GeoB10727-3; GeoB10728-3; GeoB10730-3; GeoB10731-3; GeoB10732-3; GeoB10733-3; GeoB10735-3; GeoB10738-3; GeoB10741-3; GeoB10742-3; GeoB10744-3; GeoB10746-3; GeoB10747-3; GeoB10749-1; GeoB7704-1; GeoB7705-1; GeoB7706-1; GeoB7714-1; GeoB7718-1; GeoB7720-2; GeoB7723-2; GeoB7725-2; Glucosamine; Glucosamine/Galactosamine ratio; Glutamic acid; Glutamic acid/gamma-Aminobutyric acid ratio; Glycine; Gravity corer; Gravity corer (Kiel type); Greece; Gulf of Taranto; hexosamines; Hexosamines; Histidine; Indian Ocean; Isoleucine; JPI-OCEANS; KAL; Kara Sea; KaraSea97; Kasten corer; KL; L-1; L-1a; L-2; L-3; Latitude of event; Leucine; Location; Longitude of event; Lybia; Lysine; M33/1; M33/1_MC-15; M33/1_MC-19; M36/6; M36/6_MC39; M36/6_MC53; M40/4; M40/4_MC90; M40/4_MUC65; M40/4_MUC66; M40/4_MUC67; M40/4_MUC68; M40/4_MUC69; M40/4_MUC70; M40/4_MUC71; M40/4_MUC72; M40/4_MUC73; M40/4_MUC74; M40/4_MUC75; M40/4_MUC76-3; M40/4_MUC77B; M40/4_MUC78-2; M40/4_MUC79; M40/4_MUC82; M40/4_MUC84; M40/4_MUC85; M40/4_MUC87; M40/4_MUC88; M40/4_MUC91; M40/4_SL77; M40/4_SL80; M40/4_SL81; M40/4_SL86; M40/4_SL89; M5/3a; M5/3a_295KAL; M5/3a_304KAL; M5/3a_399KG; M5/3a_400KG; M5/3a_403KG; M5/3a_407KG; M5/3a_409KAL; M5/3a_413KG; M5/3a_417KG; M5/3a_418KG; M5/3a_419KAL; M5/3a_420KAL; M5/3a_421KAL; M5/3a_422KAL; M5/3a-401.1; M5/3a-402.1; M5/3a-404.1; M5/3a-405.1; M5/3a-406.1; M5/3a-414.1; M5/3a-415.2; M5/3a-416.1; M51/3; M51/3_560-1; M51/3_561-4; M51/3_562-5; M51/3_563-5; M51/3_564-2; M51/3_565-1; M51/3_566-3; M51/3_569-3; M51/3_570-2; M51/3_571; M51/3_573; M51/3_574-2; M51/3_575-6; M51/3_576-3; M51/3_577-1; M51/3_578; M51/3_579; M51/3_580; M51/3_594; M51/3_596; M51/3_601-3; M51/3_602; M51/3_604; M52/2; M76/2; M76/2_203; M76/2_204; M76/2_206; Malta; Maria S. Merian; Mass spectrometer, ThermoFisher Scientific MAT 252; Meteor (1986); Methionine; Methionine sulfoximine; MSM17/3; MSM17/3_224-6; MSM17/3_225-6; MSM17/3_226-6; MSM17/3_228-6; MSM17/3_229-6; MSM17/3_231-4; MSM17/3_233-8; MSM17/3_234-8; MSM17/3_235-9; MSM17/3_236-11; MSM17/3_237-4; MSM17/3_238-7; MSM17/3_240-6; MSM17/3_241-10; MSM17/3_242-12; MSM17/3_243-10; MSM17/3_246-7; MSM17/3_250-13; MSM17/3_254-11; MSM17/3_264-6; MSM17/3_266-8; MSM17/3_267-4; MSM17/3_268-10; MSM17/3_269-6; MSM17/3_272-7; MSM17/3_274-6; MSM17/3_275-5; MSM17/3_276-5; MSM17/3_277-4; MSM17/3_278-4; MSM17/3_279-6; MSM17/3_292-8; MSM17/3_295-9; MSM17/3_298-10; MSM17/3_299-7; MSM17/3_300-3; MSM17/3_304-10; MSM17/3_305-9; MSM17/3_306-10; MSM17/3_308-8; MSM17/3_309-10; MSM17/3_310-6; MSM17/3_311-2; MSM17/3_316-3; MSM17/3_317-10; MSN; MUC; MUC-OCT; MULT; MultiCorer; Multi corer, Octopus; Multiple investigations; Multiple opening/closing net; Namibia upwelling, Southeast Atlantic; Nile Fan; Nitrogen, total; Northern Arabian Sediment Trap; Northern Arabian Sediment Trap/Western Arabian Sediment Trap; organic matter degradability; Ornithine; Ox/Anox ratio; PAKOMIN; Phenylalanine; Piston corer (BGR type); POS339; Poseidon; PUC; Push corer; Reactivity index of amino acids (Jennerjahn & Ittekkot, 1997); Reference of data; Residence time index; Sample ID; Sampling gear, diverse; Sediment degradation index; sediments; Serine; SL; SO118; SO118_MC-06; SO118_MC-08; SO118_MC-15; SO118_MC-20; SO118_MC-22; SO118_MC-24; SO118_MC-29; SO118_MC-33; SO118_MC-34; SO118_MC-38; SO118_MC-42; SO118_MC-47; SO118_MC-49; SO118_MC-51; SO129; SO129_MC-03; SO129_MC-15; SO129_MC-22; SO129_MC-28; SO129_MC-41; SO242/1; SO242/1_108-1; SO242/1_108-1_MUC 26; SO242/1_38-1; SO242/1_38-1_GC 1; SO242/2; SO242/2_166_PUC-64; SO90; SO90_111KL; Sonne; Sonne_2; Southern Arabian Sediment Trap; Southern Arabian Sediment Trap/Western Arabian Sediment Trap; South Pacific Ocean, Peru Basin; Strait of Otranto; T1-1; T1-1a; T1-2; T1-3; T1-4; T1-4a; T1-5; T5-1; T5-1a; T5-2; T5-5; T6-1; T6-2; T6-3; T6-4; T6-5; T7-1; T7-4; T7-5; T8-1; T8-1a; T8-1b; T8-1c; T8-1d; T8-3; T8-4; T8-5; Taurine; Threonine; Tr-1_Ang; Tryptophan; Turkey; Tyrosine; Valine; Western Arabian Sediment Trap; Western Arabian Sediment Trap/Central Arabian Sediment Trap; Western Arabian Sediment Trap-Kuppe; Western Arabian Sediment Trap Plain; WKT-2; WKT-2a; WKT-5; WLT-1; WLT-10; WLT-2; WLT-3; WLT-5; WLT-7; WLT-8; WLT-9; Zyprus; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 22228 data points
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  • 57
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    Photographs of Potter Cove, King George Island, looking northeast towards glacier in 2022 (2022)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Carlini_Base_C2; Carlini/Jubany Station; DATE/TIME; Image, earth surface (water, ice, land); Jubany; Jubany_Station_C2; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 696 data points
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  • 58
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    Photographs of Potter Cove, King George Island, looking west towards Maxwell Bay in 2022 (2022)
    PANGAEA
    In:  Instituto Antártico Argentino, Buenos Aires, Argentina
    Details
    Publication Date: 2024-06-29
    Keywords: Carlini_Base_C1; Carlini/Jubany Station; DATE/TIME; Image, earth surface (water, ice, land); Jubany; Jubany_Station_C1; Potter Cove, King George Island, Antarctic Peninsula; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
    Location Call Number Expected Availability
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  • 59
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    SST reconstruction for sediment core SO90_63KA (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: AGE; Alkenone, unsaturation index UK'37; Alkenones; Arabian Sea; CAHOL; Calculated from UK'37 (Sonzogni et al., 1997); CAME-II_CAHOL; Crossing Climatic Tipping Points - Central Asian Holocene Climate; DEPTH, sediment/rock; Gas chromatograph, Agilent 6850, coupled with a flame ionization detector; Grain Size; KAL; Kasten corer; n-alkanes; PAKOMIN; Sea surface temperature, annual mean; Sea surface temperature, annual mean, standard deviation; SO90; SO90_63KA; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 507 data points
    Location Call Number Expected Availability
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  • 60
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    Stable oxygen isotopes of snow pit Baldwin_Valley_Glacier (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: Baldwin_Valley_Glacier; BVG; DEPTH, ice/snow; Mass spectrometer Finnigan Delta-S; McMurdo Dry Valleys, southern Victorica Land, Antarctica; NewZealand_Antarctic_Expedition; Sample ID; Scott Base; SNOWPIT; Snow pit; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 846 data points
    Location Call Number Expected Availability
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  • 61
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    Unknown
    Stable oxygen isotopes of snow pit Wilson_Piedmont_Glacier (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: DEPTH, ice/snow; Mass spectrometer Finnigan Delta-S; McMurdo Dry Valleys, southern Victorica Land, Antarctica; NewZealand_Antarctic_Expedition; Sample ID; Scott Base; SNOWPIT; Snow pit; Wilson_Piedmont_Glacier; WPG; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 566 data points
    Location Call Number Expected Availability
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  • 62
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    Detrital zircon U/Pb ages from the Nankai subduction zone (Japan) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: U-Pb zircon age dating was applied on U-channel samples (30cc) that were collected from sandy deposits in cores from IODP Site C0024 (one sample; frontal Nankai accretionary Prism), ODP Site 1177 (two samples; Western Shikoku Basin) and IODP sites C0011 (three samples) and C0012 (one sample; Eastern Shikoku Basin). Detrital zircon U-Pb ages were measured using the London Thermochronology Research Group facilities at UCL based on a New Wave Nd: YAG 213 nm laser ablation system coupled plasma-mass spectrometry. Real time U-Pb were processed using GLITTER data reduction software. Repeated measurements of external zircon standard Plesovice (TIMS reference 337.13 +/-0.37 Myr ago) and NIST 612 silicate glass were used to correct for instrumental mass bias and depth-dependent inter-element fractionation of Pb, Th, and U. 206Pb/238U ages are used for those grain younger than 1 Ga, and for zircon grains older than 1,000 Ma we used the 207Pb/206Pb ages to determine the crystallization age. To better constrain the sediment provenance along the Nankai subduction zone, we integrated published U-Pb zircon age to our study. These include (1) potential sediment sources, e.g., Nagara, Yodo, Tenryu, Kiso and Fuji rivers from Clift et al. (2013) (https://doi.pangaea.de/10.1002/tect.20033), the Yangtze and Yellow rivers from Huang et al. (2020) (https://doi.pangaea.de/10.3390/min10050398), the Shimanto Complex from Shibata et al. (2008) (https://doi.org/10.1111/j.1440-1738.2008.00626.x) and the Sanbagawa Belt from Tsutsumi et al. (2009) (https://doi.org/10.2465/jmps.080416) and (2) published zircon ages from the frontal accretionary prism ((ODP sites 1176 and 1177 and IODP sites C0006E and C0007E; Clift et al., 2013) (https://doi.pangaea.de/10.1002/tect.20033).
    Keywords: 190-1177A; 322-C0011B; 322-C0012A; 358-C0024D; Age; Age, 206Pb/238U Lead-Uranium; Age, 207Pb/206Pb Lead-Lead; Age, 207Pb/235U Lead-Uranium; Age, dated; Age, dated standard error; Age, standard error; Chikyu; deep-marine sediments; DEPTH, sediment/rock; DRILL; Drilling/coring; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Exp322; Exp358; GLITTER - data reduction software; Grains; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Lead-206/Uranium-238, standard error; Lead-206/Uranium-238 ratio; Lead-207/Lead-206 ratio; Lead-207/Lead-206 ratio, standard error; Lead-207/Uranium-235, standard error; Lead-207/Uranium-235 ratio; Leg190; Longitude of event; NanTroSEIZE Plate Boundary Deep Riser 4; NanTroSEIZE Stage 2: Subduction Input; Percentage; petrography analysis; Philippine Sea; Sample code/label; Thorium; Thorium/Uranium ratio; Uranium; zircon age dating
    Type: Dataset
    Format: text/tab-separated-values, 13881 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 63
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    Calcium carbonate flux and particulate silica flux of sediment trap EIOT from the equatorial Indian Ocean (2009)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Keywords: Calcium carbonate, flux; Center for Marine Environmental Sciences; Charmograph 6, Wösthoff; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; EIOT; Equatorial Indian Ocean Trap Station; Lakshadweep Sea; MARUM; Photometer, silicomolybdate complex; Sample code/label; Silica, particulate, flux per day; Trap, sediment; TRAPS
    Type: Dataset
    Format: text/tab-separated-values, 410 data points
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  • 64
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    Compilation of nitrate δ15N in the ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: The database for nitrate concentrations and nitrate δ15N includes new data and most of the measurements that have been published to date. This database also includes most of the nitrate δ15N measurements in the database of Rafter et al. (2019; Biogeosciences 16, 2617-2633; https://doi.org/10.5194/bg-16-2617-2019). It consists of 944 stations with 15300 measurements of nitrate δ15N. All data are uploaded, except the GOSHIP P2 and P6 sections for which we report average profiles vs. depth. Full data sets for these sections will be included upon publication in a follow-up version.
    Keywords: Comment; Cruise/expedition; DEPTH, water; Identification; LATITUDE; LONGITUDE; nitrate; Nitrate; nitrogen isotopes; ocean; Reference/source; Time Stamp; Vessel; δ15N, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 100052 data points
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    DATA PANGAEA
  • 65
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    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO269 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was not continuously recorded during RV SONNE cruise SO269. Data was recorded on 13 days between 2019-08-05 and 2019-08-28. This dataset contains a survey in the South China Sea. The approximate average depth of the entire dataset is around 2300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. However, also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO269; SO269_0_Underway-3; Sonne_2; 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 Simrad EM122 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 2576 data points
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    DATA PANGAEA
  • 66
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    Amino acids and hexosamines in water and pore water samples from different oceanic areas sampled between 2013 and 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: These water and pore water samples were collected in different oceanic areas between 2013 and 2016. The samples were compiled from previous studies and used for statistical analyses in order to better understand particle dynamics and organic matter cycling in the ocean and to test and refine amino acid (AA) and hexosamine (HA) based biogeochemical indicators. Dissolved organic carbon (DOC) concentrations and total dissolved nitrogen (TDN) concentrations were determined with a POC-VCSH analyzer (Shimadzu) after removal of inorganic carbon by 2M HCl. Stable nitrogen and oxygen isotopes of nitrate (δ15N-NO3, δ18O-NO3) were analysed by the denitrifier method with a Delta Plus XP mass spectrometer. AA and HA contents and their individual monomers were analysed by liquid chromatography using a Biochrom 30 amino acid analyser after acid hydrolysis of filtered sea or pore water. Contents of AA and HA are presented in µmol/L and µg/L. AAC, AAN, HAC, HAN are presented in µg/L and as percentages of DOC (AAC/C, HAC/C) or TDN (AAN/N, HAN/N). AA and HA monomers are presented in Mol% and comprise aspartic acid (ASP), glutamic acid (Glu), threonine (Thr), serine (Ser), glycine (Gly), alanine (Ala), valine (Val), methionine (Met), isoleucine (Ile), leucine (Leu), tyrosine (Tyr), phenylalanine (Phe), β-Alanine (β-Ala), γ-aminobutyric acid (γ-Aba), histidine (His), ornithine (Orn), lysine (Lys) and arginine (Arg), glucosamine (GlcN) and galactosamine (GalN). Cysteic acid (CYA), taurine (TAU), methionine sulfoximine (MSO) and tryptophane (TRP) were determined only in the more recent samples. Data gaps indicate that measurements were not carried out or that they were not stored in the older data sets. The RI was calculated according to Jennerjahn and Ittekkot (1997; https://archimer.ifremer.fr/doc/00093/20403/) and the DI after Dauwe et al. (1999; doi:10.4319/lo.1999.44.7.1809). Definitions of biogeochemical indicators SDI, RTI, ox/anox and a detailed description of the methods can be found in Gaye et al. (2022; doi:org/10.5194/bg-19-807-2022).
    Keywords: Alanine; Amino acid, carbon; Amino acid, carbon of total organic carbon; Amino acid, nitrogen; Amino acid analyser, Biochrom 30; Amino acid nitrogen of total nitrogen; amino acids; Amino acids; Amino acids/hexosamines ratio; Amino acids non-protein; Amino sugar, carbon; Amino sugar, carbon of total organic carbon; Amino sugar, nitrogen; Amino sugar, nitrogen of total nitrogen; Arginine; Aspartic acid; Aspartic acid/beta-Alanine ratio; beta-Alanine; biogeochemical indicators; Calculated after Dauwe et al. 1999; Calculated after Gaye et al. (2022); Calculated after Jennerjahn and Ittekkot (1997); Campaign of event; Carbon, organic, dissolved; Category; CTD/Rosette; CTD3; CTD4; CTD5; CTD-RO; Cysteic acid; Date/Time of event; Degradation index; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DEPTH, water; Elevation of event; Event label; Galactosamine; gamma-Aminobutyric acid; GC; GC5; Glucosamine; Glucosamine/Galactosamine ratio; Glutamic acid; Glutamic acid/gamma-Aminobutyric acid ratio; Glycine; Gravity corer; hexosamines; Hexosamines; Histidine; INDEX2016_2; Indian Ocean; Isoleucine; JPI-OCEANS; Latitude of event; Leucine; Location; Longitude of event; Lysine; M103/1; M103/1_10-2; M103/1_14-5; M103/1_2291-1; M103/1_28-4; M103/1_48-5; Maria S. Merian; Mass spectrometer Finnigan Delta Plus XP; Meteor (1986); Methionine; Methionine sulfoximine; MSM59/2; MSM59/2_734-2; MSM59/2_734-3; MSM59/2_739-1; MSM59/2_739-2; MSM59/2_749-1; MSM59/2_749-2; MSM59/2_751-1; MSM59/2_769-1; MSM59/2_769-2; MSM59/2_783-1; MSM59/2_783-2; MUC; MultiCorer; Nitrogen, total dissolved; North Pacific Ocean; Ornithine; Ox/Anox ratio; Oxygen, dissolved; Phenylalanine; pore water samples; PUC; Push corer; Reactivity index of amino acids (Jennerjahn & Ittekkot, 1997); Reference of data; Remote operated vehicle; Residence time index; ROV; ROV12; Salinity; Sample ID; Sediment degradation index; Serine; Shimadzu TOC-V CSH total organic carbon analyzer; Size; SO239; SO239_10-1; SO239_110-1; SO239_118-1; SO239_161-1; SO239_165-1; SO239_167-1; SO239_25-1; SO239_26-1; SO242/1; SO242/1_108-1; SO242/1_108-1_MUC 26; SO242/1_56-1; SO242/1_56-1_MUC 12; SO242/1_58-1; SO242/1_58-1_CTD 4; SO242/1_80-1; SO242/1_80-1_MUC 22; SO242/2; SO242/2_166_PUC-28; SO242/2_216_PUC-65; Sonne_2; South Pacific Ocean, Peru Basin; Taurine; Temperature, water; Threonine; Tryptophan; Tyrosine; Valine; Water samples; δ15N, nitrate; δ18O, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 4052 data points
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  • 67
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    Multibeam bathymetry raw data (Kongsberg EM710 entire dataset) of RV SONNE during cruise SO269 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-29
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 710 multibeam echosounder was not continuously recorded during RV SONNE cruise SO269. Data was recorded on 20 days between 2019-08-06 and 2019-09-03. This dataset contains a survey in the South China Sea. The approximate average depth of the entire dataset is around 300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. However, also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; DATE/TIME; ELEVATION; Event label; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO269; SO269_0_Underway-4; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Swath-mapping system Simrad EM710 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 3684 data points
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  • 68
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    Physical oceanography from Mooring DS2 in the Denmark Strait Overflow area since 2005 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Description: This data set collection provides quality controlled temperature, conductivity and pressure measurements from moored instrumentation (Seabird Microcat) in the Denmark Strait. Practical salinity was calculated from the measured quantities and is provided as well. Temporal resolution of the time series is 10 to 20 minutes. The data was collected between 2005 to 2015 at the location of mooring DS2. This mooring is part of the Denmark Strait Overflow array and maintained by the Institute of Oceanography, University Hamburg. The purpose of the array is to monitor the properties and variability of the dense Denmark Strait Overflow.
    Keywords: Denmark Strait; DS2-05; DS2-07; DS2-08; DS2-09; DS2-11; DS2-12; DS2-13; DS2-14; Greenland Sea; M85/2; M85/2_919-1; Maria S. Merian; Meteor (1986); MOOR; Mooring; MSM05/4; MSM12/1; NACLIM; North Atlantic; North Atlantic Climate; Overflow; POS437/1; POS471/2; Poseidon; Temperature and Salinity; Thermohaline Overturning – at Risk?; THOR
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 69
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    Porewater and sediment data from the North Pacific CDisK-IV expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Description: Samples were collected at five oceanographic stations during cruise CDisK-IV on board RV Kilo Moana from Hawaii to Alaska in August 2017. An 8-barrel multi-corer (Ocean Instruments 800 multi-corer with 9.6 cm inner diameter polycarbonate liners) was used for retrieving short sediment cores and immediately overlying water at each station. Two cores from each multi-corer cast were incubated in a cold room (2°C) over the course of days-to-weeks, two additional cores were sampled in the cold room for porewater using Rhizon samplers, and a fifth core was sectioned for sedimentological work.
    Keywords: North Pacific Ocean; Porewater chemistry; sediment
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 70
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    Seawater and aerosol lithium concentration data (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Description: A total of 603 seawater samples and 125 aerosol samples were analysed for their lithium concentrations. The seawater samples were collected during eight research expeditions. All seawater lithium concentrations were normalised to TEOS-10 absolute salinity of 35 g/kg. Most seawater samples were collected using Niskin bottles and filtered using 0.22 µm filters. Exceptions are samples UW1-UW26 that were collected from the underway water system of RV Kilo Moana during cruise CDisK-IV, and surface water samples from the Red Sea that were collected using a bucket lowered from the deck of a container ship. Samples from cruises SOE09, RS2015 and RS2018 were not filtered. The seawater samples were collected during the following cruises: CDisK-IV from Hawaii to Alaska in 01-30 August 2017; SN105 from Goa to Mauritius, samples collected during 7-16 December 2015; RS2015 from the Bay of Bengal to the Mediterranean Sea, samples collected during 27 December 2015 to 3 January 2016; RS2018 from the Bay of Bengal to the Mediterranean Sea, samples collected during 23-31 March 2018; SOE09 in the Indian sector of the Southern Ocean in 12 January - 21 February 2017; JR274 in the Atlantic sector of the Southern Ocean between 9 January and 12 February 2013; D357 and JC068 sailed from South Africa to South America, mostly along 40°S, cruise D357 in 18 October – 22 November 2010, and cruise JC068 in 24 December 2011 – 27 January 2011. Daily aerosol samples were collected from the Pacific Ocean during CLIVAR-CO2 Repeat Hydrography Sections P16 and P2. The P16 section follows 150°-152°W and was divided into two legs, a southern leg from 17°S to 71°S in January-February 2005, and a northern leg from 16°S to 56°N in February-March 2006. CLIVAR-CO2 section P2 from Japan to San Diego, along 30°N was visited in June-August 2004. The aerosol data from both CLIVAR-CO2 sections include aerosol lithium concentration measured following digestion in HF:HNO3:HCl mixture and corrected for sea-salt contributions (Li xs total), the P16 data also includes aerosol lithium extracted with ultrapure deionised water (≥18 MΩ) by pulling 100 mL of deionised water within ten seconds through the filter (Li xs MQ). The aerosol dataset also includes calculation of lithium deposition flux based on the local rain rate.
    Keywords: aerosol; Climate and Ocean - Variability, Predictability, and Change; CLIVAR; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; IIOE-2; Indian Ocean; Pacific Ocean; Second International Indian Ocean Expedition
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 71
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    Newly digitised hourly and daily meterological observations for Sub-Saharan Africa: Macenta, Guinea (1947-1953) and Andapa, Madagascar (1949-1957) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Description: Important data from the African Centre of Meteorological Applications for Development (ACMAD) collection have been recently rescued from unstable fiche media and scanned to digital images by the EU funded Copernicus Climate Change Service and the Royal Meteorological Institute (RMI) of Belgium. The team at the C3S2-311 Lot 1 Collection and Processing of In Situ Observations service led by the Irish Climate Analysis and Research UnitS (ICARUS) at Maynooth University, Ireland enrolled the help of 2nd year university undergraduate students to transcribe quickly and effectively some of these important ACMAD meteorological surface observations. New and unique datasets for Macenta, Guinea (1947-1953) and Andapa, Madagascar (1949-1957) were digitised with each station consisting of sub-daily observations for: cloud, temperature, humidity, evaporation, pressure and wind as well as daily observations for: evaporation, precipitation and temperature. The newly digitised Sub-Saharan African data will increase the temporal and spatial coverage of data in this important data-sparse region where climate change impact studies are crucial., Students gained new skills and a deep appreciation of historical climatology while helping the global scientific community unearth new insights into past sub-Saharan African climate. The Climate Data Rescue Africa project (CliDaR-Africa project) model has the potential for a broader roll-out to other educational contexts and there is certainly no shortage of data to be rescued with millions of images remaining untouched. Therefore, this paper provides details of the project, and all supporting information such as project guidelines and templates to enable other organisations to instigate similar programs in future.
    Keywords: Climate data; meteorological observations; Sub-Saharan Africa
    Type: Dataset
    Format: application/zip, 28 datasets
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  • 72
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    Continuous measurements in soil and air at the permafrost long-term observatory at the Bayelva station near Ny-Ålesund (2018 et seq) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Description: Understanding permafrost processes and changes requires long-term observational datasets of ground and climate variables. Despite the fact that the Arctic climate changes more rapidly than the rest of the globe, observational data density in the region is low and most time series are short. Long term observations are available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made since 1998 and are still continued today. The climate observations include snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction, and radiation fluxes. The below-ground observations cover active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. Since the data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth and soil moisture content, they are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Keywords: active layer; air temperature; Arctic; AWI_Perma; Bayelva; Bayelva_Station; dielectricity; dielectric number; Electrical conductivity; Monitoring station; MONS; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; precipitation; radiation; relative humidity; relative permittivity; snow depth; snow height; Soil; Soil Moisture; soil temperature; Svalbard; Temperature; water content; wind direction; wind speed
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 73
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    Continuous optical measurements of absorbance for the calculation of optical Nitrate along RV MARIA S. MERIAN cruise MSM97/2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Description: During R/V Maria S. Merian cruise MSM97/2 a sensor box (AddOn Box) was attached to a PocketFerryBox (4H Jena, Germany) in-line obtaining waters from the ships two autonomous measurement systems (RSWS). For the measurement of underway absorption spectra to calculate optical nitrate, the AddOn Box was equipped with two UV-process spectrophotometer (ProPS and OPUS, TriOS Mess- und Datentechnik GmbH, Germany). Data were recorded continuously in a ten-minute interval along the cruise track with an optical path length of 10 mm. The integration time was 256 ms. The ProPS photometer is equipped with a Deuterium lamp as light source whereas the OPUS photometer is equipped with a Xenon flash lamp. Baseline calibrations were done for both UV-photometer using ultrapure water. For the ProPS, the calibration was done in the laboratory before the cruise whereas the calibration for the OPUS was done by the manufacturer. The water inlet of the RSWS is allocated at approx. 6.5 m below the sea surface. While one box is measuring, the other box is being cleaned. The boxes switch after a user-defined measuring and cleaning interval. On MSM97/2, the boxes were alternating every 12 hours, including one short cleaning procedure during measurements after 4 hours. Absorption spectra obtained by the AddOn Box during the alternation process of the two RSWS, as well as during the internal cleaning procedure are not included. Spectra from station work are included. Within this dataset, absorption spectra were cut to a relevant wavelength range (from 189-360 nm (ProPS) and 199-360 nm (OPUS) to 210-260 nm). No further correction was done for the absorbance spectra in this processing step. After the cruise, gathered absorption spectra were used to improve current processing algorithms of optical nitrate detection for coastal and open ocean waters. Processing was performed according to Zielinski et al. (2011) and Frank et al. (2014) using MATLAB (R2018a). Detailed processing steps for the calculation of optical nitrate can be found on Zenodo (doi 10.5281/zenodo.4091420 ). Temperature and salinity data are necessary to compute nitrate values from derived UV-spectra and were taken from the attached PocketFerryBox using a SBE45 probe (Sea Bird Scientific, USA). A linear CDOM-offset correction was carried out. Nitrate reference spectra and salinity reference spectra were measured in the laboratory before the cruise. Corresponding nitrate reference samples using wet chemical analysis will be published separately.
    Keywords: Absorbance; Bio-optics; DAM; Deutsche Allianz für Meeresforschung; GPF 20‐2_062; ICBM; Maria S. Merian; MSM97/2; MSM97/2_0_Underway-15; MSM97/2_0_Underway-16; optical nitrate; UV-photometer; UV process spectrophotometer, TriOS Mess- und Datentechnik GmbH, OPUS [SN: 7138]; UV process spectrophotometer, TriOS Mess- und Datentechnik GmbH, ProPS [SN: D105]
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 74
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    Meteorological observations during POLARSTERN cruise ANT-II/2 (2005)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: ALTITUDE; Amount of barometric tendency; Anemometer; ANT-II/2; AWI_Meteo; BARO; Barometer; CEIL; Ceilometer; Characteristic of barometric tendency; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Direction of second swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; HYGRO; Hygrometer; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; Mean ships course; Mean ships speed; Meteorological Long-Term Observations @ AWI; Middle cloud; Past weather1; Periode of first swell waves; Polarstern; Present weather; Pressure, atmospheric; PS04; PS04/2-track; Temperature, air; Temperature, water; Thermometer; Total cloud amount; Underway cruise track measurements; Visibility sensor; Visual observation; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 2704 data points
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  • 75
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    Meteorological observations during POLARSTERN cruise ANT-I/3 (2005)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: ALTITUDE; Anemometer; ANT-I/3; AWI_Meteo; BARO; Barometer; CEIL; Ceilometer; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Direction of second swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; HYGRO; Hygrometer; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; Mean ships course; Mean ships speed; Meteorological Long-Term Observations @ AWI; Middle cloud; Past weather1; Periode of first swell waves; Polarstern; Present weather; Pressure, atmospheric; PS01; PS01/3-track; Temperature, air; Temperature, water; Thermometer; Total cloud amount; Underway cruise track measurements; Visibility sensor; Visual observation; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 919 data points
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  • 76
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    Age determinations on sediment core PS1727-1 (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Age, 14C AMS; Age, 14C milieu/reservoir corrected; Age, dated; Age, dated standard deviation; ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21727-1 PS13/204; Gravity corer (Kiel type); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1727-1; Sample code/label; Scoresby Sund; SL
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 77
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    Particle fluxes from sediment trap KG2 (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: ANT-IV/2; Calculated; Carbon, organic, particulate, flux; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; GeoB; Geosciences, University of Bremen; KG2_trap; Opal, flux; Polarstern; PS08; Silicon Cycling in the World Ocean; SINOPS; Total mass, flux per day; Trap; TRAP
    Type: Dataset
    Format: text/tab-separated-values, 51 data points
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  • 78
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    Raw data files of X-ray diffraction analysis of the clay fraction from sediment core PS1730-1 (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: ARK-V/3b; AWI_Paleo; Giant box corer; GIK21730-1 PS13/224; GKG; Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-1
    Type: Dataset
    Format: application/zip, 81.3 kBytes
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  • 79
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    X-ray diffraction raw data files of surface sediments from the Arctic Ocean (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: Amundsen Basin; ARK-V/3b; ARK-VII/3b; ARK-VIII/2; ARK-VIII/3; AWI_Paleo; Barents Sea; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; Gakkel Ridge, Arctic Ocean; Giant box corer; Giant piston corer; GIK21709-1 PS13/151; GIK21710-1 PS13/156; GIK21712-1 PS13/160; GIK21713-1 PS13/161; GIK21714-1 PS13/165; GIK21715-1 PS13/166; GIK21716-1 PS13/167; GIK21717-1 PS13/169; GIK21733-1 PS13/240; GIK21734-1 PS13/247; GIK21735-1 PS13/249; GKG; GPC; Gravity corer (Kiel type); Greenland Shelf; Greenland Slope; KAL; Kasten corer; King Oskar Fjord; Latitude of event; Lomonosov Ridge, Arctic Ocean; Longitude of event; Makarov Basin; MG; MIC; MiniCorer; Morris Jesup Rise; MUC; Multiboxcorer; MultiCorer; Nansen Basin; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS17; PS17/239; PS17/240; PS17/241; PS17/242; PS17/243; PS17/244; PS17/245; PS17/247; PS17/248; PS17/249; PS17/250; PS17/251; PS17/252; PS17/258; PS17/260; PS17/262; PS17/264; PS17/265; PS17/266; PS17/272; PS17/273; PS17/274; PS17/275; PS17/276; PS17/277; PS17/281; PS17/282; PS17/283; PS17/285; PS17/286; PS17/287; PS17/288; PS17/289; PS17/290; PS1709-1; PS1710-1; PS1712-1; PS1713-1; PS1714-1; PS1715-1; PS1716-1; PS1717-1; PS1733-1; PS1734-1; PS1735-1; PS19/040; PS19/045; PS19/050; PS19/055; PS19/070; PS19/078; PS19/080; PS19/081; PS19/082; PS19/084; PS19/086; PS19/090; PS19/091; PS19/094; PS19/098; PS19/100; PS19/101; PS19/102; PS19/104; PS19/105; PS19/108; PS19/110; PS19/111; PS19/112; PS19/116; PS19/117; PS19/119; PS19/124; PS19/126; PS19/132; PS19/134; PS19/136; PS19/143; PS19/148; PS19/150; PS19/151; PS19/152; PS19/154; PS19/155; PS19/157; PS19/158; PS19/159; PS19/160; PS19/161; PS19/164; PS19/165; PS19/166; PS19/167; PS19/171; PS19/172; PS19/173; PS19/175; PS19/176; PS19/178; PS19/181; PS19/182; PS19/183; PS19/184; PS19/185; PS19/186; PS19/189; PS19/190; PS19/192; PS19/194; PS19/198; PS19/200; PS19/204; PS19/206; PS19/210; PS19/214; PS19/216; PS19/218; PS19/222; PS19/226; PS19/239; PS19/241; PS19/245; PS19/246; PS19/249; PS19/252; PS1916-1; PS1917-1; PS1918-1; PS1919-1; PS1920-1; PS1921-1; PS1922-1; PS1923-1; PS1924-1; PS1925-1; PS1926-1; PS1927-1; PS1928-1; PS1930-1; PS1931-1; PS1932-1; PS1933-1; PS1934-1; PS1935-1; PS1937-1; PS1938-1; PS1939-1; PS1940-1; PS1941-1; PS1942-1; PS1943-1; PS1944-1; PS1945-1; PS1946-1; PS1947-1; PS1948-1; PS1949-1; PS1950-1; PS1951-1; PS19 ARCTIC91; PS19 EPOS II; PS2111-1; PS2113-1; PS2114-1; PS2115-1; PS2116-1; PS2117-1; PS2119-1; PS2120-1; PS2121-1; PS2122-1; PS2123-1; PS2124-1; PS2125-1; PS2127-1; PS2128-1; PS2129-1; PS2130-1; PS2131-1; PS2132-1; PS2133-1; PS2134-1; PS2136-1; PS2137-1; PS2138-1; PS2142-1; PS2143-1; PS2144-1; PS2147-1; PS2148-1; PS2149-1; PS2150-1; PS2151-1; PS2153-1; PS2156-1; PS2157-1; PS2158-1; PS2159-1; PS2161-1; PS2162-1; PS2163-1; PS2164-1; PS2165-1; PS2166-1; PS2167-1; PS2168-1; PS2170-1; PS2171-1; PS2172-1; PS2174-1; PS2175-1; PS2176-1; PS2177-1; PS2178-1; PS2179-1; PS2180-1; PS2181-1; PS2182-1; PS2183-1; PS2184-1; PS2185-1; PS2186-1; PS2187-1; PS2189-1; PS2190-1; PS2192-1; PS2193-1; PS2194-1; PS2195-1; PS2196-1; PS2198-1; PS2199-1; PS2200-1; PS2202-1; PS2205-1; PS2209-1; PS2210-1; PS2212-1; PS2213-1; PS2214-1; PS2215-1; Scoresby Sund; SL; Svalbard; Uniform resource locator/link to raw data file; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 125 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 80
    facet.materialart.
    Unknown
    Water temperature time series from mooring AWI403-2 at 361 m depth (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: ARK-V/2; AWI_PhyOce; AWI403-2; DATE/TIME; DEPTH, water; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS13; Temperature, water; THERMC; Thermistor chain
    Type: Dataset
    Format: text/tab-separated-values, 4053 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 81
    facet.materialart.
    Unknown
    Water temperature time series from mooring AWI403-2 at 336 m depth (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: ARK-V/2; AWI_PhyOce; AWI403-2; DATE/TIME; DEPTH, water; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS13; Temperature, water; THERMC; Thermistor chain
    Type: Dataset
    Format: text/tab-separated-values, 4053 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 82
    facet.materialart.
    Unknown
    Current meter data from mooring 0171 at 262 m depth (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: 0171; ARK-V/2; AWI_PhyOce; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS13; PS13/088; Rotor current meter, Aanderaa; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 43977 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 83
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-10-6, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Gravity corer (Kiel type); KOMEX; Kurile-Okhotsk Sea Marine Experiment; Sakhalin shelf and slope; SL; SO178; SO178-10-6; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 84
    facet.materialart.
    Unknown
    Current meter data from mooring 0250 at 161 m depth (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: 0250; Acoustic Doppler Current Profiling (ADCP); ARK-V/2; AWI_PhyOce; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS13; PS13/120
    Type: Dataset
    Format: text/tab-separated-values, 30511 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 85
    facet.materialart.
    Unknown
    Current meter data from mooring 0250 at 857 m depth (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: 0250; ARK-V/2; AWI_PhyOce; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS13; PS13/120; Rotor current meter, Aanderaa; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 25825 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 86
    facet.materialart.
    Unknown
    Current meter data from mooring 0250 at 2472 m depth (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-28
    Keywords: 0250; ARK-V/2; AWI_PhyOce; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS13; PS13/120; Rotor current meter, Aanderaa; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 18707 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 87
    facet.materialart.
    Unknown
    Methane concentration of the water column at CTD station SO178-11-3, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: CTD, Seabird; CTD-R; DEPTH, water; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Methane; Sakhalin shelf and slope; SO178; SO178-11-3; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 88
    facet.materialart.
    Unknown
    Methane concentration of the water column at CTD station SO178-13-7, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: CTD, Seabird; CTD-R; DEPTH, water; Gas chromatography; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Methane; Sakhalin shelf and slope; SO178; SO178-13-7; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 89
    facet.materialart.
    Unknown
    Methane concentration of the water column at CTD station SO178-20-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: CTD-yoyo; DEPTH, water; Gas chromatography; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Methane; Sakhalin shelf and slope; SO178; SO178-20-1; Sonne; Yoyo-CTD
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 90
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-48-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: HYC; Hydro corer; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Sakhalin shelf and slope; SO178; SO178-48-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 91
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-52-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: HYC; Hydro corer; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Sakhalin shelf and slope; SO178; SO178-52-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 92
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-62-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Derugin Basin; HYC; Hydro corer; KOMEX; Kurile-Okhotsk Sea Marine Experiment; SO178; SO178-62-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-66-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Derugin Basin; HYC; Hydro corer; KOMEX; Kurile-Okhotsk Sea Marine Experiment; SO178; SO178-66-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 94
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-42-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Gravity corer (Kiel type); KOMEX; Kurile-Okhotsk Sea Marine Experiment; Sakhalin shelf and slope; SL; SO178; SO178-42-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 95
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-69-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Derugin Basin; HYC; Hydro corer; KOMEX; Kurile-Okhotsk Sea Marine Experiment; SO178; SO178-69-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 96
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-74-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Derugin Basin; HYC; Hydro corer; KOMEX; Kurile-Okhotsk Sea Marine Experiment; SO178; SO178-74-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Documentation of sediment core SO178-78-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Derugin Basin; KOL; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Piston corer (Kiel type); SO178; SO178-78-1; Sonne
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Geochemistry of pore water in sediment core SO178-12-3, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Alkaline earth metals; Alkalinity, total; Ammonia; Bromide; Calcium; Chloride; DEPTH, sediment/rock; Humic substances; Infrared laser absorption specrometer, IRLS; Ion chromatography; KOL; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Phosphate; Photometry; Piston corer (Kiel type); Sakhalin shelf and slope; Silicate; SO178; SO178-12-3; Sonne; Sulfate; Sulfide; Titration; UV/VIS Spectrometer
    Type: Dataset
    Format: text/tab-separated-values, 185 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Geochemistry of pore water in sediment core SO178-36-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Alkaline earth metals; Alkalinity, total; Ammonia; Bromide; Calcium; Chloride; DEPTH, sediment/rock; Humic substances; Infrared laser absorption specrometer, IRLS; Ion chromatography; KAL; Kasten corer; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Phosphate; Photometry; Sakhalin shelf and slope; Silicate; SO178; SO178-36-1; Sonne; Sulfate; Sulfide; Titration; UV/VIS Spectrometer
    Type: Dataset
    Format: text/tab-separated-values, 154 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Geochemistry of pore water in sediment core SO178-46-1, Okhotsk Sea (2006)
    PANGAEA
    Details
    Publication Date: 2024-06-28
    Keywords: Alkalinity, total; Ammonia; Bromide; Chloride; DEPTH, sediment/rock; Humic substances; Infrared laser absorption specrometer, IRLS; Ion chromatography; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Multicorer with television; Phosphate; Sakhalin shelf and slope; Silicate; SO178; SO178-46-1; Sonne; Sulfate; Sulfide; Titration; TVMUC; UV/VIS Spectrometer
    Type: Dataset
    Format: text/tab-separated-values, 207 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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