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  • PANGAEA  (35,290)
  • Oxford University Press  (17,928)
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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Müller, Peter J (1975): Diagenese stickstoffhaltiger organischer Subtanzen in oxischen and anoxischen marinen Sedimenten. Meteor Forschungsergebnisse, Deutsche Forschungsgemeinschaft, Reihe C Geologie und Geophysik, Gebrüder Bornträger, Berlin, Stuttgart, C22, 1-60
    Publication Date: 2024-06-26
    Description: A. Continental slope sediments off Spanish-Sahara and Senegal contain up to 4% organic carbon and up to 0.4% total nitrogen. The highest concentrations were found in sediments from water depths between 1000 and 2000 m. The regional and vertical distribution of organic matter differs significantly. Off Spanish-Sahara the organic matter content of sediment deposited during glacial times (Wuerm, Late Riss) is high whereas sediments deposited during interglacial times (Recent, Eem) are low in organic matter. Opposite distribution was found in sediments off Senegal. The sediments contain 30 to 130 ppm of fixed nitrogen. In most sediments this corresponds to 2-8 % of the total nitrogen. Only in sediments deposited during interglacial times off Spanish-Sahara up to 20 % of the total nitrogen is contained as inorganically bound nitrogen. Positive correlations of the fixed nitrogen concentrations to the amounts of clay, alumina, and potassium suggest that it is primarily fixed to illites. The amino acid nitrogen and hexosamine nitrogen account for 17 to 26 % and 1.3 to 2.4 %, respectively of the total nitrogen content of the sediments. The concentrations vary between 200 and 850 ppm amino acid nitrogen and 20 to 70 ppm hexosamine nitrogen, both parallel the fluctiations of organic matter in the sediment. Fulvic acids, humic acids, and the total organic matter of the sediments may be clearly differentiated from one another and their amino acid and hexosamine contents and their amino acid composition: a) Fulvic acids contain only half as much amino acids as humic acids b) The molar amino acid/hexosamine ratios of the fulvic acids are half those of the humic acids and the total organic matter of the sediment c) The amino acid spectra of fulvic acids are characterized by an enrichment of aspartic acid, alanine, and methionine sulfoxide and a depletion of glycine, valine, isoleucine, leucine, tyrosine, phenylalanine, lysine, and arginine compared to the spectra of the humic acids and those of the total organic matter fraction of the sediment. d) The amino acid spectra of the humic acids and those of the total organic matter fraction of the sediments are about the same with the exception that arginine is clearly enriched in the total organic matter. In general, as indicated by the amino compounds humic acids resemble closer the total organic matter composition than the low molecular fulvic acids do. This supports the general idea that during the course of diagenesis in reducing sediments organic matter stabilizes from a fulvic-like structure to humic-like structure and finally to kerogen. The decomposition rates of single aminio acids differ significantly from one another. Generally amino acids which are preferentially contained in humic acids and the total organic matter fraction show a smaller loss with time than those preferably well documented in case of the basic amino acids lysine and arginine which- although thermally unstable- are the most stable amino acids in the sediments. A favoured incorporation of these compounds into high molecular substances as well as into clay minerals may explain their relatively high “stability” in the sediment. The nitrogen loss from the sediments due to the activity of sulphate-reducing bacteria amounts to 20-40 % of the total organic nitrogen now present. At least 40 % of the organic nitrogen which is liberated by sulphate-reducing bacteria can be explained ny decomposition of amino acids alone. B. Deep-sea sediments from the Central Pacific The deep-seas sediments contain 1 to 2 orders of magnitude less organic matter than the continental slope sediments off NW Africa, i.e. 0.04 to 0.3 % organic carbon. The fixed nitrogen content of the deep-sea sediments ranges from 60 to 270 ppm or from 20 to 45 % of the total nitrogen content. While ammonia is the prevailing inorganic nitrogen compound in anoxic pore waters, nitrate predominates in the oxic environment of the deep-sea sediments. Near the sediment/water interface interstital nitrate concentrations of around 30 µg-at. N/l were recorded. These generally increase with sediment depth by 10 to 15 µg-at. NO3- N/l. This suggests the presence of free oxygen and the activity of nitrifying bacteria in the interstitial waters. The ammonia content of the interstitial water of the oxic deep-sea sediments ranges from 2 to 60 µg-at. N/l and thus is several orders of magnitude less than in anoxic sediments. In contrast to recorded nitrate gradients towards the sediments/water interface, there are no ammonia concentration gradients. However, ammonia concentrations appear to be characteristic for certain regional areas. It is suggested that this regional differentiation is caused by ion exchange reactions involving potassium and ammonium ions rather than by different decomposition rates of organic matter. C. C/N ratios All estimated C/N ratios of surface sediments vary between 3 and 9 in the deep-sea and the continental margin, respectively. Whereas the C/N ratios generally increase with depth in the sediment cores off NW Africa they decrease in the deep-sea cores. The lowest values of around 1.3 were found in the deeper sections of the deep-sea cores, the highest of around 10 in the sediments off NW Africa. The wide range of the C/N ratios as well as their opposite behaviour with increasing sediment depth in both the deep-sea and continental margin sediment cores, can be attributed mainly to the combination of the following three factors: 1. Inorganic and organic substances bound within the latticed of clay minerals tend to decrease the C/N ratios. 2. Organic matter not protected by absorption on the clay minerals tends to increase C/N ratios 3. Diagenetic alteration of organic matter by micro-organisms tends to increase C/N ratios through preferential loss of nitrogen The diagenetic changes of the microbially decomposable organic matter results in both oxic and anoxic environments in a preferential loss of nitrogen and hence in higher C/N ratios of the organic fraction. This holds true for most of the continental margin sediments off NW Africa which contain relatively high amounts of organic matter so that factors 2 and 3 predominate there. The relative low C/N ratios of the sediments deposited during interglacial times off Spanish-Sahara, which are low in organic carbon, show the increasing influence of factor 1 – the nitrogen-rich organic substances bound to clay minerals. In the deep-sea sediments from the Central Pacific this factor completely predominates so that the C/N rations of the sediments approach that of the substance absorbed to clay minerals with decreasing organic matter content. In the deeper core sections the unprotected organic matter has been completely destroyed so that the C/N ratios of the total sediments eventually fall into the same range as those of the pure clay mineral fraction.
    Keywords: Atlantic Ocean; BC; BCR; Box corer; Box corer (Reineck); East Atlantic; GIK/IfG; GIK10127-2; GIK10127-3; GIK10128-1; GIK10129-1; GIK10130-1; GIK10132-1; GIK10136-1; GIK10140-1; GIK10141-1; GIK10142-1; GIK10144-1; GIK10145-1; GIK10147-1; GIK10148-1; GIK10149-1; GIK10175-1; GIK10176-1; GIK10178-1; GIK12310-3; GIK12310-4; GIK12327-4; GIK12327-5; GIK12328-4; GIK12328-5; GIK12329-4; GIK12329-5; GIK12331-1; GIK12331-2; GIK12344-3; GIK12344-6; GIK12347-1; GIK12347-2; GIK12379-1; Institute for Geosciences, Christian Albrechts University, Kiel; KAL; KAL15; Kasten corer; Kasten corer 15 cm; M25; Meteor (1964); Pacific; VA-05/4; VA-08/1; Valdivia (1961)
    Type: Dataset
    Format: application/zip, 38 datasets
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Leinen, Margaret W; Stakes, Debra S (1979): Metal accumulation rates in the central equatorial Pacific during Cenozoic time. Geological Society of America Bulletin, 90(4), 357-375, https://doi.org/10.1130/0016-7606(1979)90%3C357:MARITC%3E2.0.CO;2
    Publication Date: 2024-06-26
    Description: Accumulation rates of Mg, Al, Si, Mn, Fe, Ni, Cu, Zn, opal, and calcium carbonate have been calculated from their concentrations in samples from equatorial Deep Sea Drilling Project sites. Maps of element accumulation rates and of Q-mode factors derived from raw data indicate that the flux of trace metals to equatorial Pacific sediments has varied markedly through time and space in response to changes in the relative and absolute influence of several depositional influences: biogenic, detrital, authigenic, and hydrothermal sedimentation. Biologically derived material dominates the sediment of the equatorial Pacific. The distributions of Cu and Zn are most influenced by surface-water biological activity, but Ni, Al, Fe, and Mn are also incorporated into biological material. All of these elements have equatorial accumulation maxima similar to those of opal and calcium carbonate at times during the past 50 m.y. Detritus distributed by trade winds and equatorial surface circulation contributes Al, non-biogenic Si, Fe, and Mg to the region. Detrital sediment is most important in areas with a small supply of biogenic debris and low bulk-accumulation rates. Al accumulation generally increases toward the north and east, indicating its continental source and distribution by the northeast trade winds. Maxima in biological productivity during middle Eocene and latest Miocene to early Pliocene time and concomitant well-developed surface circulation contributed toward temporal maxima in the accumulation rates of Cu, Zn, Ni, and Al in sediments of those ages. Authigenic material is also important only where bulk-sediment accumulation rates are low. Ni, Cu, Zn, and sometimes Mn are associated with this sediment. Fe is almost entirely of hydrothermal origin. Mn is primarily hydrothermal, but some is probably scavenged from sea water by amorphous iron hydroxide floes along with other elements concentrated in hydrothermal sediments, Ni, Cu, and Zn. During the past 50 m.y. all of these elements accumulated over the East Pacific Rise at rates nearly an order of magnitude higher than those at non-rise-crest sites. In addition, factor analysis indicates that some of this material is carried substantial distances to the west of the rise crest. Accumulation rates of Fe in basal metalliferous sediments indicate that the hydrothermal activity that supplied amorphous Fe oxides to the East Pacific Rise areas was most intense during middle Eocene and late Miocene to early Pliocene time.
    Keywords: 16-159; 16-160; 16-161; 16-162; 16-163; 5-42; 8-69; 8-70; 8-71; 8-72; 8-73; 8-74; 8-75; 9-77; 9-78; 9-79; 9-80; 9-81; 9-82; 9-83; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg16; Leg5; Leg8; Leg9; North Pacific; North Pacific/BASIN; North Pacific/CONT RISE; North Pacific/HILL; North Pacific/PLAIN; North Pacific/VALLEY; South Pacific; South Pacific/BASIN; South Pacific/CONT RISE; South Pacific/VALLEY
    Type: Dataset
    Format: application/zip, 41 datasets
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Graduate School of Oceanography, University of Rhode Island at Kingston | Supplement to: Keigwin, Lloyd D (1978): Pliocene closing of the Isthmus of Panama, based on biostratigraphic evidence from nearby Pacific Ocean and Caribbean Sea cores. Geology, 6(10), 630-634, https://doi.org/10.1130/0091-7613(1978)6%3C630:PCOTIO%3E2.0.CO;2
    Publication Date: 2024-06-26
    Description: Pliocene and Pleistocene planktonic foraminiferal biogeography and paleoceanography have been examined in Deep Sea Drilling Project (DSDP) sites of the Panama Basin (Pacific Ocean) and Colombian and Venezuelan Basins (Atlantic Ocean) to determine the timing of the isolation of Atlantic and Pacific tropical planktonic faunas resulting from the development of the Central American isthmus. Previous studies have suggested a late Miocene to middle Pliocene occurrence of this event. The Panama Basin (DSDP site 157) and the Colombian Basin (DSDP site 154A) share two early Pliocene biogeographic events: (1) great abundance of sinistral coiling Neogloboquadrina pachyderma at 4.3 m.y. ago at site 157 and 0.7 m.y. later at site 154A, and (2) a sinistral-to-dextral change in the coiling-direction preference in Pulleniatina 3.5 m.y. ago at both locations. Identification of these events farther to the east in the Venezuelan Basin (DSDP site 148) is complicated by insufficient lower Pliocene core recovery, but abundant sinistral N. pachydcrma appear to have extended far to the east in the Caribbean 3.6 m.y. ago; perhaps the early Pliocene abundance of this form is not indicative of cool water. The coiling-direction history and stratigraphic ranges of Pulleniatina became different in the Atlantic and Pacific Oceans during the early Pliocene; this is inferred to result from geographic isolation of the assemblages. Saito (1976) used the temporary disappearance of this genus from Atlantic waters at 3.5 m.y. ago to mark the closure of the Isthmus of Panama, but I show that in the Colombian Basin (site 154A) its disappearance was closer to 3.1 m.y. ago. This suggests the possibility of surface-water communication between the Atlantic and Pacific until that time.
    Keywords: 15-154A; 16-157; Caribbean Sea/RIDGE; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg15; Leg16; South Pacific/RIDGE
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 4
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kolodny, Yehoshua; Epstein, Samuel (1976): Stable isotope geochemistry of deep sea cherts. Geochimica et Cosmochimica Acta, 40(10), 1195-1209, https://doi.org/10.1016/0016-7037(76)90155-1
    Publication Date: 2024-06-26
    Description: Seventy four samples of DSDP recovered cherts of Jurassic to Miocene age from varying locations, and 27 samples of on-land exposed cherts were analyzed for the isotopic composition of their oxygen and hydrogen. These studies were accompanied by mineralogical analyses and some isotopic analyses of the coexisting carbonates. d18O of chert ranges between 27 and 39%. relative to SMOW, d18O of porcellanite - between 30 and 42%. The consistent enrichment of opal-CT in porcellanites in 18O with respect to coexisting microcrystalline quartz in chert is probably a reflection of a different temperature (depth) of diagenesis of the two phases. d18O of deep sea cherts generally decrease with increasing age, indicating an overall cpoling of the ocean bottom during the last 150 m.y. A comparison of this trend with that recorded by benthonic foraminifera (Douglas and Savin, 1975; http://www.deepseadrilling.org/32/volume/dsdp32_15.pdf) indicates the possibility of d18O in deep sea cherts not being frozen in until several tens of millions of years after deposition. Cherts of any Age show a spread of d18O values, increasing diagenesis being reflected in a lowering of d18O. Drusy quartz has the lowest d18O values. On-land exposed cherts are consistently depleted in 18O in comparison to their deep sea time equivalent cherts. Water extracted from deep sea cherts ranges between 0.5 and 1.4 wt %. dD of this water ranges between -78 and -95%. and is not a function of d18O of the cherts (or the temperature of their formation).
    Keywords: 11-100; 11-99A; 14-138; 14-140; 16-157; 16-158; 16-163; 17-164; 17-165A; 17-166; 17-167; 17-169; 17-171; 20-195; 20-195B; 20-196; 2-12B; 3-13A; 6-49; 6-50; 6-52; 7-62; 7-65; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg11; Leg14; Leg16; Leg17; Leg2; Leg20; Leg3; Leg6; Leg7; North Atlantic/BASIN; North Atlantic/CHANNEL; North Atlantic/CONT RISE; North Pacific; North Pacific/ABYSSAL FLOOR; North Pacific/BASIN; North Pacific/CONT RISE; North Pacific/GUYOT; North Pacific/PLAIN; North Pacific/RIDGE; South Pacific/RIDGE
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 5
    Publication Date: 2024-06-26
    Description: The tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was operated during leg 4 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The balloon was operated from the Balloon Town site in the central observatory, close to RV Polarstern (Shupe et al., 2022). Balloon payload included an extended meteorological package, an ultrasonic anemometer package, a broadband radiation package, the video ice particle sampler, and the cubic aerosol measurement platform. An overview showing the value of the combined observation is displayed by Lonardi et al. (2022). The data processing is described in Pilz et al. (2023). The present dataset covers the solar irradiances measured by the broadband radiation package on 18 flights between 29 June and 27 July 2020.
    Keywords: ABL; AC3; Arctic; Arctic Amplification; Arctic Ocean; BELUGA; Broadband radiation; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_45-141; PS122/4_45-156; PS122/4_46-183; PS122/4_47-165; PS122/4_47-166; PS122/4_47-167; PS122/4_47-168; PS122/4_47-171; PS122/4_47-99; PS122/4_48-131; PS122/4_48-133; PS122/4_48-135; PS122/4_48-139; PS122/4_48-216; PS122/4_48-217; PS122/4_48-218; PS122/4_49-98; Radiation fluxes; solar radiation; Tethered balloon; Tethered balloon system BELUGA; vertical profile
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 6
    Publication Date: 2024-06-26
    Description: Short sediment cores were taken at six stations in Wismar Bay, southern Baltic Sea (Germany) in May 2019 using a Rumohr-Lot device. Our aim in this study was to investigate the role of diagenetic element fluxes and different fresh water sources, including submarine groundwater discharge, on the water column in the bay. Porewaters were extracted from the sediment cores by applying the rhizon technique at a resolution between 2 and 5 cm. The porewaters were analyzed for major and trace metals and selected nutrients using a ICP-OES (iCAP, 7400, Duo Thermo Fischer Scientific), total sulphide by a Specord 40 spectrophotometer (Analytik Jena), dissolved inorganic carbon (DIC) and δ13CDIC using an isotope gas mass spectrometre (MAT 253) coupled to a Gasbench II, and δ18OH2O, and δ2HH2O using a CRDS system (laser cavity-ring-down-spectroscopy, Picarro L2140- I). Sediment cores were further sliced at 2 to 4 cm resolution and each freeze-dried solid subsample was analyzed for contents of total carbon, nitrogen, and sulphur using an Elemental Analyzer (Euro Vector EuroEA 3, 052), inorganic carbon using an Elemental Analyzer multi EA (Analytik Jena), total mercury by a DMA-80 analyzer, and HCl-extractable Pb, Mn and Fe using an ICP-OES (iCAP, 7400, Duo Thermo Fischer Scientific).
    Keywords: DAM sustainMare - MGF Baltic Sea: Exclusion of mobile bottom-contact fishing in marine protected areas of the German Exclusive Economic Zone of the Baltic Sea; MGF_Baltic_Sea; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; southern Baltic Sea; Stable isotope; submarine groundwate discharge; sustainMare
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 7
    Publication Date: 2024-06-26
    Description: Solar radiation over and under sea ice was measured by radiation station 2020R15, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 4) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 13 July 2020 and 19 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. This buoy had no own GPS source. It was located at the Central Observertory (CO2) of MOSAiC. The drift track of CO2 is published here: Nicolaus, Marcel; Riemann-Campe, Kathrin; Bliss, Angela; Hutchings, Jennifer K; Granskog, Mats A; Haas, Christian; Hoppmann, Mario; Kanzow, Torsten; Krishfield, Richard A; Lei, Ruibo; Rex, Markus; Li, Tao; Rabe, Benjamin (2021): Drift trajectory of the Central Observatory 2 (CO2) of the Distributed Network of MOSAiC 2019/2020. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.937186
    Keywords: 2020R15; Arctic Ocean; autonomous platform; AWI_SeaIce; buoy; Current sea ice maps for Arctic and Antarctic; drift; meereisportal.de; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_43-119; RAD_S; Radiation Station; Sea Ice Physics @ AWI; solar radiation
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 8
    Publication Date: 2024-06-26
    Description: Solar radiation over and under sea ice was measured by radiation station 2020R12, an autonomous platform, installed on drifting Second-Year-Ice (SYI) in the Arctic Ocean during MOSAiC (Leg 3) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 24 April 2020 and 07 August 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a lightchain, which measured counts of red, green and blue light at 49 positions at hourly intervals. In addition, the evolution of snow height is measured at hourly intervals. All times are given in UTC.
    Keywords: 2020R12; Arctic Ocean; autonomous platform; AWI_SeaIce; buoy; Current sea ice maps for Arctic and Antarctic; drift; lightchain; meereisportal.de; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_28-108; PS122/4; PS122/4_43-173; RAD_S; Radiation Station; Sea Ice Physics @ AWI; snow depth; solar radiation
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 9
    Publication Date: 2024-06-26
    Description: Solar radiation over and under sea ice was measured by radiation station 2020R11, an autonomous platform, installed on drifting Second-Year-Ice (SYI) in the Arctic Ocean during MOSAiC (Leg 2) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 26 March 2020 and 01 August 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a lightchain, which measured counts of red, green and blue light at 49 positions at hourly intervals. In addition, the evolution of snow height is measured at hourly intervals. All times are given in UTC.
    Keywords: 2020R11; Arctic Ocean; autonomous platform; AWI_SeaIce; buoy; Current sea ice maps for Arctic and Antarctic; drift; lightchain; meereisportal.de; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_28-55; PS122/4; PS122/4_43-158; RAD_S; Radiation Station; Sea Ice Physics @ AWI; snow depth; solar radiation
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 10
    Publication Date: 2024-06-26
    Description: Between 2019 and 2022 three sediment cores HH14-897-MF-GC (2014), He519_2-3 (2018), and He560_26-2 (2020) were analyzed using biogeochemical markers to assess organic carbon dynamics and its bio-availability in the Hornsund Fjord (Svalbard) sediments. Depositional history was assessed by 210Pb+137Cs data (obtained by γ-spectrometer) building the basis for associated sedimentary age models (Bruel & Sabatier, 2020), with bulk total organic carbon concentrations (using an element analyzer) and dual C-isotopes of δ13C (obtained by isotope ration mass spectrometer) and F14C (by accelerator mass spectrometry) (Werner & Brand, 2001, Brodie et al. 2011 and Mollenhauer et al., 2021). Additionally, lipid biomarker were extracted, separated, and quantified with wet chemical perpetrations of n-alkanes (Wei, 2020) (quantified with gas chromatography – flame ionization detector), fatty acids (quantified with gas chromatography – flame ionization detector) (Wei, 2020), and GDGTs (Hopmans, 2016) (quantified with gas chromatography – mass spectrometry). Included are datasets of associated biomarker indices of Carbon Preference Index (CPI) (Bray & Evans, 1961), Branched and Isoprenoid Tetraether (BIT) Index (Hopmann et al., 2004), and Terrestrial Aquatic Ratio (TAR) of fatty acids (Meyers, 1997). Further microbial utilization and bio-availability of petrogenic- and marine organic carbon was assed using Intact Polar Lipid (IPL) based compound specific radiocarbon analysis (CSRA) in combination with a DI14C age model of the local surface waters. IPLs were extracted form sediments with a modified Bligh and Dyer (1959) and subsequently separated with wet-chemical seperations (Slater, 2006). CSRA (Mollenhauer et al., 2021) of IPLs was performed on purified single compound fatty acid (FA) methyl esters of the IPL precursor lipids (Wei et al., 2021). The bio-availability of petrogenic organic carbon was based on CSRA data of IPL-FAs using an isotope mass balance with two endmembers of fossil petrogenic and modern marine primary production (DI14C age model of the local surface waters) (Ruben et al., 2022). For the DI14C age model of the local surface waters simulations were run using the Finite-volumE Sea ice-Ocean Model FESOM2 (Danilov et al., 2017) equipped with radiocarbon (Lohmann et al., 2020). Data validity was assessed by relative concentrations of IPLs in the radiocarbon analyzed PL-fraction (Wörmer et al., 2013). Detailed dataset interpretation can be found in Ruben et al. (2023).
    Keywords: Ancient carbon; arctic fjord; Carbon cycle; compound specific radiocarbon dating; Intact polar lipids
    Type: Dataset
    Format: application/zip, 29 datasets
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  • 11
    Publication Date: 2024-06-26
    Description: This data set provides high-resolution geolocated point clouds of sea-ice or snow surface elevation for mapping temporal and spatial evolution of sea-ice conditions such as freeboard, roughness, or the size and spatial distributions of surface features. The surface elevation data are referenced to the DTU21 mean sea surface height and are not corrected for sea-ice drift during acquisition. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The flights are both small scale, ~5x5 km grid patterns mainly over the central observatory, and large scale, few tens of km away from RV Polarstern, triangle patterns, or transects. The point cloud data are stored in 5-min along-track segments in a custom binary format, for which we provide a python-based parsing tool in awi-als-toolbox (https://github.com/awi-als-toolbox/awi-als-toolbox), together with corresponding metadata json and line-shot quicklook png files. The point cloud data includes as variables: surface elevation (referenced to DTU mean sea surface height), surface reflectance, and echo width. The degraded GPS altitude data 〉85°N may cause undulations in the along-track surface elevations, which are not corrected for in this data product.
    Keywords: 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; Airborne laser scanning; Arctic; Arctic Ocean; HELI; Helicopter; IceSense; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_1_2_45_2019092801; PS122_4_44_27_2020061101; PS122_4_44_65_2020061502; PS122_4_44_78_2020061601; PS122_4_45_112_2020070401; PS122_4_45_36_2020063001; PS122_4_45_37_2020063002; PS122_4_46_36_2020070701; PS122_4_46_39_2020070703; PS122_4_46_97_2020071101; PS122_4_47_96_2020071701; PS122_4_48_69_2020072201; PS122_4_50_32_2020080601; PS122_4_50_45_2020080701; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-45; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-51; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-42; PS122/3_32-70; PS122/3_32-71; PS122/3_33-17; PS122/3_35-48; PS122/3_35-49; PS122/3_37-63; PS122/3_37-66; PS122/3_39-109; PS122/4; PS122/4_44-27; PS122/4_44-65; PS122/4_44-78; PS122/4_45-112; PS122/4_45-36; PS122/4_45-37; PS122/4_46-36; PS122/4_46-39; PS122/4_46-97; PS122/4_47-96; PS122/4_48-69; PS122/4_50-32; PS122/4_50-45; PS122/5; PS122/5_59-139; PS122/5_61-190; PS122/5_61-62; PS122/5_61-63; PS122/5_62-166; PS122/5_62-67; PS122/5_63-118; PS122/5_63-3; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: application/zip, 64 datasets
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  • 12
    Publication Date: 2024-06-26
    Description: GNSS Raw Data (doi:10.1594/PANGAEA.956114) from board RV Polarstern during the MOSAiC expedition was processed with scintillation-processing software (see Kriegel et al, 2017). The result is stored in .ascii format and contains for each GNSS satellite in view general information such as C/No, Azimuth and Elevation Angle and basic scintillation measurements such as amplitude and phase scintillation index. Results are provided with 1 minute resolution.
    Keywords: Arctic Ocean; GNSS; GNSS Receiver; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-3; PS122/1_1-30; PS122/2; PS122/2_14-130; PS122/3; PS122/3_99-89; PS122/4; PS122/4_99-90; PS122/5; PS122/5_58-130
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 13
    Publication Date: 2024-06-26
    Description: The XRD data has been gained from pulverized and homogenized samples of every 5 cm by KOPRI personal at KOPRI and University of Tromsoe sampling parties. XRD raw measurements were run at Crystallography, Geosciences, University of Bremen in 2018-2020. Measurement conditions: Philips X'Pert Diffractometer, Cu radiation, fixed divergence, secoundary Ni filter, 3-85 ° 2theta, 0.0016° step size, 100 sec calculated step time. XRD mineral assemblage determination were subsequently gained through the QUAX full pattern quantitative determination software (see Vogt et al. 2002 at Pangaea methods wiki). The software allows for differentiation of all minerals. Here, the Fe-oxides and hydroxides were in the focus of the research manuscript. A QXRD investigation allows for not only identification of mineral content but also for detailing authigenic vs. allochthonous minerals, transport of detrital input to the sediment core and the interpretation of the transport processes and the local environment as well as the paleoceanographic reconstruction of the region. Sediment ages are given through the below mentioned data sets. A series of fjord surface sediments were collected from various Svalbard fjord systems during expeditions of RV Helmer Hanssen from UiT The Arctic University of Norway between 2012 and 2019 (Fig. 1). Four gravity cores were retrieved along a 150 km long N‒S transect from the continental shelf off northern Svalbard to the innermost Wijdefjorden: core HH17-1085-GC (hereafter 1085; 80.27°N, 16.21°E, 322 m water depth; continental shelf), HH17-1094-GC (hereafter 1094; 79.74°N, 15.42°E, 148 m water depth; fjord mouth), HH17-1100-GC (hereafter 1100; 79.30°N, 15.78°E, 112 m water depth; central fjord), and HH17-1106-GC (hereafter 1106; 79.00°N, 16.21°E, 160 m water depth; inner fjord)
    Keywords: Full Pattern Quantification with QUAX software; Holocene Research; Korean Polar Institute; Svalbard fjords; XRD
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 14
    Publication Date: 2024-06-26
    Description: Upward-looking still images as acquired by a photo camera (Tiger Shark, Imenco) with internal flash and 4 x zoom attached to a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-113; PS122/1_5-62; PS122/1_6-118; PS122/1_6-16; PS122/1_6-31; PS122/1_7-18; PS122/1_7-55; PS122/1_8-125; PS122/1_9-22; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_45-61; PS122/4_46-172; PS122/4_46-174; PS122/4_46-175; PS122/4_46-37; PS122/4_47-135; PS122/4_47-31; PS122/4_48-213; PS122/4_48-4; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-165; PS122/5_60-166; PS122/5_60-167; PS122/5_60-28; PS122/5_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 88 datasets
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  • 15
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC16 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 7 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 7 November 2019 and 27 April 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in deformed second-year ice next to the HSVA stress panels close to RV Polarstern.
    Keywords: Arctic Ocean; autonomous platform; buoy; CTC16; Digital thermistor chain; DTC; DTC16; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-119; PS122/2; PS122/2_14-101; PS122/4; PS122/4_47-151; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 16
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC09 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 28 January 2020. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 27 February 2020 and 1 July 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTCs was installed in level first-year ice next to the Fort Ridge. Ice mass balance SIMBA 2020T60 was installed at the Fort Ridge: doi:10.1594/PANGAEA.924269. Radiation station 2020R10 was installed in level first-year ice next to the Fort Ridge: doi:10.1594/PANGAEA.949124.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC09; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-331; PS122/4; PS122/4_45-172; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 17
    Publication Date: 2024-06-26
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M3 on the upper part (750 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (21 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 13 SBE56 (22,56,81,106,159,184,6508,260,285,310,335,360,385 mab, sint: 120 s), 4 SBE37 (31, 134, 209, 410 mab, sint: 600 s), 1 RDI ADCP 75 kHz (235 mab, upwardlooking, sint: 2h), 1 SBE39 (435 mab, sint: 900s). Mooring diagrams and information about data processing are provided.
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_162; JR16004_162, PS124_14-1; M3_MOOR_WeddellSea; M3, M3_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_14-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 18
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: SCRIPPS Institution of Oceanography (1957): MUKLUK Expedition, July-August, 1957: Cores and Dredge Samples. SIO Reference Series, 57-53, 6 pp
    Publication Date: 2024-06-26
    Description: The cores and dredges described are taken during the MUKLUK expedition of the R/V Spencer Baird in July-August 1957 by the Scripps Institute of Oceanography. A total of 31 cores and dredges were recovered and are available at Scripps Institute of Oceanography for sampling and study.
    Keywords: Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Dredge, rock; DRG_R; Elevation of event; Event label; Latitude of event; Longitude of event; MKLK02BD; MKLK03BD-029D; MKLK03BD-030D; MUKLUK-B; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Quantity of deposit; Sample ID; Spencer F. Baird; Substrate type; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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  • 19
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Keigwin, Lloyd D; Bender, Michael L; Kennett, James P (1979): Thermal structure of the deep Pacific Ocean in the early Pliocene. Science, 205(4413), 1386-1388, https://doi.org/10.1126/science.205.4413.1386
    Publication Date: 2024-06-26
    Description: The thermal structure of the Pacific Ocean between water depths of about 1 and 4.5 kilometers is estimated from the oxygen isotopic ratio of benthonic foraminifera from deep-drilled and piston cores of early Pliocene age (about 3 to 5 million years ago). The ratio of oxygen-18 to oxygen-16 in the early Pliocene at each site varies by an average of only ± 0.12 per mil (1 standard deviation). A plot of the oxygen isotopic ratio against modern bottom-water temperature is adequately fit by a line having a slope of - 0.26 per mil per degree Celsius (the equilibrium temperature dependence of calcite-water fractionation), suggesting that the temperature gradient of the Pacific Ocean during the early Pliocene was similar to that of today.
    Keywords: 16-158; 21-206; 21-207A; 21-208; 29-284; 29-284A; 32-310; 7-62A; 9-84; Antarctic Ocean/Tasman Sea/PLATEAU; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Event label; Globocassidulina subglobosa, δ18O; Glomar Challenger; Leg16; Leg21; Leg29; Leg32; Leg7; Leg9; North Pacific; North Pacific/CONT RISE; North Pacific/RIDGE; Oridorsalis sp., δ18O; PC; Piston corer; Sample code/label; South Pacific/Tasman Sea/BASIN; South Pacific/Tasman Sea/CONT RISE; Uvigerina sp., δ18O; V28; V28-179; Vema
    Type: Dataset
    Format: text/tab-separated-values, 222 data points
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  • 20
    Publication Date: 2024-06-26
    Description: Analysis of manganese in sediments of the equatorial Pacific.
    Keywords: BC; Box corer; Dredge, bucket; DRG_BU; FFGR; Free-fall grab; Mn-74-01-001-FFG-001; Mn-74-01-001-FFG-002; Mn-74-01-001-FFG-003; Mn-74-01-002-FFG-004; Mn-74-01-002-FFG-006; Mn-74-01-003-FFG-007; Mn-74-01-003-FFG-009; Mn-74-01-005-B2; Mn-74-01-006-FFG-016; Mn-74-01-006-FFG-017; Mn-74-01-006-FFG-018; Mn-74-01-006-FFG-019; Mn-74-01-006-FFG-020; Mn-74-01-006-FFG-021; Mn-74-01-006-FFG-022; Mn-74-01-006-FFG-023; Mn-74-01-006-FFG-025; Mn-74-01-006-FFG-026; Mn-74-01-007-FFG-028; Mn-74-01-007-FFG-029; Mn-74-01-008-FFG-032; Mn-74-01-009-FFG-036; Mn-74-01-010-FFG-037; Mn-74-01-010-FFG-038; Mn-74-01-010-FFG-039; Mn-74-01-010-FFG-042; Mn-74-01 IODE; Mn-74-02-13A-FFG-004; Mn-74-02-13B-D-001; Mn-74-02-13B-FFG-005; Mn-74-02-13B-FFG-007; Mn-74-02-13B-FFG-008; Mn-74-02-13C-D-002; Mn-74-02-13C-D-004; Mn-74-02-13C-FFG-009; Mn-74-02-13C-FFG-011; Mn-74-02-13C-FFG-012; Mn-74-02-15-FFG-021; Mn-74-02-15-FFG-025; Mn-74-02-16-FFG-030; Mn-74-02-16-FFG-037; Mn-74-02 IDOE DOMES; Moana Wave; MW7401; MW7401-01G01; MW7401-01G02; MW7401-01G03; MW7401-02G04; MW7401-02G06; MW7401-03G07; MW7401-03G09; MW7401-05B02; MW7401-06G16; MW7401-06G17; MW7401-06G18; MW7401-06G19; MW7401-06G20; MW7401-06G21; MW7401-06G22; MW7401-06G23; MW7401-06G25; MW7401-06G26; MW7401-07G28; MW7401-07G29; MW7401-08G32; MW7401-09G36; MW7401-10G37; MW7401-10G38; MW7401-10G39; MW7401-10G42; MW7402; MW7402-13D01; MW7402-13D02; MW7402-13D04; MW7402-13G04; MW7402-13G05; MW7402-13G07; MW7402-13G08; MW7402-13G09; MW7402-13G11; MW7402-13G12; MW7402-15G21; MW7402-15G25; MW7402-16G30; MW7402-16G37; MW7402D-SBT1; MW7402D-SBT2; MW7402D-SBT4; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; TRAWL; Trawl net
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 21
    Publication Date: 2024-06-26
    Description: Lateglacial/early Holocene interval from the sediment core JM09-020GC recovered in Storfjordrenna (western Barents Sea) has been studied for benthic foraminifera assemblages, stable isotopes, IRD, vivianite microconcretions, magnetic susceptibility, and elemental composition in order to identify the causes and mechanisms of abrupt climate change during the Younger Dryas. The core was retrieved with R/V Jan Mayen (University of Tromsø – The Arctic University of Norway, UiT) in November 2009 from the Storfjordrenna (76°31489' N, 19°69957' E) at a bottom depth of 253 m. Prior to sediment core opening, the magnetic susceptibility was measured using a loop sensor installed on a GEOTEK Multi Sensor Core Logger at the Department of Geology, UiT. Core sections were stored in the laboratory for one day prior to measurements, thus allowing the sediments to adjust to room temperature and avoiding measurement errors related to temperature changes (Weber et al., 1997). Qualitative element-geochemical measurements were performed with Avaatech X-ray fluorescence (XRF) core scanner using the following settings: 10 kV, 1000 µA, 10-s measuring time, and no filter. Sediment samples for foraminiferal and vivianite analyses were freeze-dried, weighed, and wet sieved using sieves with mesh sizes of 500 µm and 100 µm. The residues were dried, weighed again, and subsequently split on a dry micro-splitter. Where possible, at least 300 specimens of foraminifera were counted in every 1 cm of sediment. Species identification under a binocular microscope (Nikon SMZ1500) was supported using the classification of Loeblich and Tappan (1987), with few exceptions, and percentages of the eight indicator species were applied. The benthic foraminiferal abundance and ice-rafted debris (IRD; grains 〉500 µm) were counted under a stereo-microscope and expressed as flux values (number of specimens/grains cm-2 ka-1) using the bulk sediment density and sediment accumulation rate.
    Keywords: Arctic; Barents Sea; Benthic foraminifera; GC; Gravity corer; Holocene; Jan Mayen; JM09-020GC; JM09702; Stable isotopes; Storfjorden Trough; Svalbard; vivianite; XRF; Younger Dryas
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 22
    facet.materialart.
    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-26
    Description: A gas inlet was installed at the bow of RV Poseidon. Atmospheric gas concentrations of CH4 and CO2 were measured continuously with a Picarro G2301-f analyzer.
    Keywords: CT; POS527; POS527-track; Poseidon; STEMM-CCS; Strategies for Environmental Monitoring of Marine Carbon Capture and Storage; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 20 datasets
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  • 23
    Publication Date: 2024-06-26
    Description: Porewater analyses from all M157 multicores and gravity cores are presented here. For each site, both shipboard and shore-based analyses are included. Shipboard analyses include photometric determination dissolved iron (Fe2+) and phosphate (PO43-) (Hach Lange DR 5000 photometer, 565 nm and 880 nm wavelengths), as well as ammonium (NH4+) via flow injection gas separator technique. Additional porewater aliquots were collected for analyses at MARUM between December 2019 and February 2020. Shore-based analyses completed in the Sediment Geochemistry Laboratory at MARUM include: ion chromatography (F-, Br-, Cl-, SO42-, NO3-, and PO43-), photometric determination of sulfide (wavelength 670 nm), DIC and NPOC (Analytik Jena Multi N/C Series), and inductively coupled plasma emission spectrometry (Al, B, Ba, Ca, Cr, Cu, Fe, K, Li, Mg, Mn, Mo, Na, Ni, P, S, Si, Sr, Ti, V). All data is over-specified for calculation purposes. Several constituents were below detection and therefore not reported here. These include: IC determined NO3-, and PO43- , ICP measurements of Cr, Cu, Mo, No, and V. Both depth in core (cm) and a corrected depth below seafloor (cm) are presented. Gravity core depths were adjusted to extend the porewater profiles from the paired multicore from the site. This offset was determined visually, based on eight constituent profiles. Most gravity cores were offset only by the length of the multicore, except for Site 14 with an additional 5cm, and Site 34 which an additional 10 cm was needed. Sites 10, 48 and 44 are only multicores, while Site 47 is only a gravity core. The data from site 48 was used to estimate an offset for the Site 47 gravity core due to their proximity.
    Keywords: Benguela Upwelling System; Center for Marine Environmental Sciences; EVAR; M157; MARUM; porewater; The Benguela Upwelling System under climate change – Effects of VARiability in physical forcing on carbon and oxygen budgets
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 24
    Publication Date: 2024-06-26
    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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  • 25
    Publication Date: 2024-06-26
    Description: A set of eight ice-tethered buoy systems (2019O1 to 2019O8) were deployed by the Akademik Fedorov in the Northern Laptev Sea in early October 2019 as part of the MOSAiC Distributed Network. Each buoy consisted of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The buoys were installed on stable sea ice floes (designated as “M-sites”) at a distance of 15-35 km around the main MOSAiC ice camp, and co-located with Snow Buoys, Ice Mass Balance Buoys and D-TOP ocean profilers. The individual instruments were programmed to record oceanographic data internally at 2-minute intervals. The surface unit of the buoy prompted the instruments for an additional measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. After a several months long drift through the Central Arctic Ocean, 4 out of 8 buoys were recovered in August 2020, and the internally recorded data from the CTDs were secured. The attached zip archive comprises the unprocessed 10-minute data transmitted by the buoy (.txt file), as well as the 2-minute data downloaded and converted from the 5 individual CTDs after their recovery (either .cap or .cnv). A processed and quality controlled version of this dataset will be supplemented and linked to upon completion. A link to a data paper describing the processing will be given below.
    Keywords: 2019O1; 2019O3; 2019O4; 2019O6; AF-MOSAiC-1; AF-MOSAiC-1_106; AF-MOSAiC-1_110; AF-MOSAiC-1_114; AF-MOSAiC-1_117; AF-MOSAiC-1_121; AF-MOSAiC-1_124; AF-MOSAiC-1_127; AF-MOSAiC-1_131; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_1; AT-MOSAiC-1_4; buoy; eddy; FRAM; FRontiers in Arctic marine Monitoring; mesoscale; MIDO; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multidisciplinary Ice-based Distributed Observatory; North Greenland Sea; Ocean CTD buoy; oceanography; OCTDB; Polarstern; PS122/1_1-148, 2019O1; PS122/1_1-149, 2019O2; PS122/1_1-150, 2019O3; PS122/1_1-151, 2019O4; PS122/1_1-152, 2019O5; PS122/1_1-153, 2019O6; PS122/1_1-154, 2019O7; PS122/1_1-155, 2019O8; PS122/4; PS122/4_43-149; PS122/4_43-165; Transpolar Drift
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 26
    Publication Date: 2024-06-26
    Description: This dataset captures the yearlong evolution of physical properties of the snow cover over Arctic sea ice during the MOSAiC expedition (October 2019-September 2020). It also includes the surface scattering layer that is typical of the melting summer sea ice surface. This dataset is specifically for measurements that were logged as “snowpit events” during MOSAiC. The snowpit events were either detailed point-measurements of vertical snow profiles or horizontally repeated transects, measured at selected locations in designated undisturbed areas. One snowpit event corresponds to one site visit. The snowpits are often co-located with measurements from other MOSAiC teams to improve our understanding of how snow cover affects and interacts with the atmosphere-sea ice-ocean-ecology system. Most snowpits were measured at least bi-weekly to capture the temporal evolution of physical properties of snow. Some snowpits were one-off events to capture interesting and unplanned-for surface conditions. This dataset includes 576 snowpit events, and describes the snow conditions during the entire expedition. Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5).
    Keywords: Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-11; PS122/1_10-18; PS122/1_10-5; PS122/1_10-50; PS122/1_10-58; PS122/1_10-70; PS122/1_10-71; PS122/1_10-72; PS122/1_11-23; PS122/1_4-10; PS122/1_5-28; PS122/1_5-35; PS122/1_5-5; PS122/1_6-146; PS122/1_6-147; PS122/1_6-29; PS122/1_6-30; PS122/1_6-41; PS122/1_6-42; PS122/1_6-43; PS122/1_6-44; PS122/1_6-45; PS122/1_6-46; PS122/1_6-47; PS122/1_6-5; PS122/1_6-6; PS122/1_6-65; PS122/1_6-66; PS122/1_6-67; PS122/1_6-68; PS122/1_6-69; PS122/1_6-70; PS122/1_6-75; PS122/1_7-12; PS122/1_7-129; PS122/1_7-32; PS122/1_7-33; PS122/1_7-34; PS122/1_7-35; PS122/1_7-36; PS122/1_7-37; PS122/1_7-38; PS122/1_7-5; PS122/1_7-68; PS122/1_7-69; PS122/1_7-70; PS122/1_7-71; PS122/1_7-72; PS122/1_7-73; PS122/1_7-8; PS122/1_7-87; PS122/1_7-88; PS122/1_8-1; PS122/1_8-27; PS122/1_8-28; PS122/1_8-29; PS122/1_8-30; PS122/1_8-31; PS122/1_8-32; PS122/1_8-68; PS122/1_8-69; PS122/1_8-70; PS122/1_8-78; PS122/1_8-79; PS122/1_9-111; PS122/1_9-117; PS122/1_9-23; PS122/1_9-25; PS122/1_9-3; PS122/1_9-71; PS122/1_9-72; PS122/1_9-73; PS122/1_9-74; PS122/2; PS122/2_16-24; PS122/2_16-44; PS122/2_16-45; PS122/2_16-46; PS122/2_16-62; PS122/2_16-73; PS122/2_16-9; PS122/2_16-90; PS122/2_17-109; PS122/2_17-16; PS122/2_17-43; PS122/2_17-44; PS122/2_17-45; PS122/2_17-46; PS122/2_17-47; PS122/2_17-49; PS122/2_17-89; PS122/2_17-90; PS122/2_17-91; PS122/2_18-107; PS122/2_18-108; PS122/2_18-17; PS122/2_18-47; PS122/2_18-52; PS122/2_18-53; PS122/2_18-54; PS122/2_18-55; PS122/2_18-56; PS122/2_18-66; PS122/2_18-76; PS122/2_18-8; PS122/2_18-9; PS122/2_19-128; PS122/2_19-129; PS122/2_19-131; PS122/2_19-132; PS122/2_19-133; PS122/2_19-134; PS122/2_19-135; PS122/2_19-137; PS122/2_19-141; PS122/2_19-142; PS122/2_19-144; PS122/2_19-145; PS122/2_19-146; PS122/2_19-160; PS122/2_19-161; PS122/2_19-181; PS122/2_19-28; PS122/2_19-35; PS122/2_19-41; PS122/2_19-75; PS122/2_19-9; PS122/2_19-92; PS122/2_20-107; PS122/2_20-108; PS122/2_20-123; PS122/2_20-136; PS122/2_20-137; PS122/2_20-138; PS122/2_20-139; PS122/2_20-140; PS122/2_20-141; PS122/2_20-142; PS122/2_20-143; PS122/2_20-144; PS122/2_20-145; PS122/2_20-164; PS122/2_20-35; PS122/2_20-36; PS122/2_20-4; PS122/2_20-70; PS122/2_20-80; PS122/2_20-83; PS122/2_21-14; PS122/2_21-15; PS122/2_21-158; PS122/2_21-159; PS122/2_21-16; PS122/2_21-170; PS122/2_21-52; PS122/2_21-53; PS122/2_21-72; PS122/2_21-84; PS122/2_21-96; PS122/2_22-43; PS122/2_22-46; PS122/2_22-5; PS122/2_22-6; PS122/2_22-61; PS122/2_22-66; PS122/2_22-67; PS122/2_22-68; PS122/2_22-69; PS122/2_22-73; PS122/2_22-74; PS122/2_23-105; PS122/2_23-2; PS122/2_23-34; PS122/2_23-53; PS122/2_23-73; PS122/2_23-74; PS122/2_23-75; PS122/2_23-76; PS122/2_23-77; PS122/2_23-78; PS122/2_23-79; PS122/2_23-85; PS122/2_23-9; PS122/2_24-112; PS122/2_24-113; PS122/2_24-14; PS122/2_24-15; PS122/2_24-16; PS122/2_24-35; PS122/2_24-56; PS122/2_24-81; PS122/2_24-86; PS122/2_25-105; PS122/2_25-128; PS122/2_25-22; PS122/2_25-23; PS122/2_25-59; PS122/2_25-60; PS122/2_25-61; PS122/2_25-62; PS122/2_25-63; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-29; PS122/3_29-38; PS122/3_29-43; PS122/3_29-50; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_30-42; PS122/3_30-61; PS122/3_31-55; PS122/3_31-79; PS122/3_32-22; PS122/3_32-41; PS122/3_32-59; PS122/3_32-61; PS122/3_32-88; PS122/3_32-92; PS122/3_32-93; PS122/3_33-102; PS122/3_33-103; PS122/3_33-112; PS122/3_33-113; PS122/3_33-40; PS122/3_33-41; PS122/3_33-42; PS122/3_33-65; PS122/3_33-66; PS122/3_34-2; PS122/3_34-34; PS122/3_34-45; PS122/3_34-46; PS122/3_34-60; PS122/3_34-91; PS122/3_35-111; PS122/3_35-120; PS122/3_35-121; PS122/3_35-23; PS122/3_35-24; PS122/3_35-53; PS122/3_35-56; PS122/3_36-102; PS122/3_36-103; PS122/3_36-104; PS122/3_36-105; PS122/3_36-106; PS122/3_36-107; PS122/3_36-137; PS122/3_36-138; PS122/3_36-14; PS122/3_36-15; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-130; PS122/3_37-131; PS122/3_37-132; PS122/3_37-133; PS122/3_37-156; PS122/3_37-21; PS122/3_37-22; PS122/3_37-39; PS122/3_37-40; PS122/3_37-41; PS122/3_37-56; PS122/3_37-57; PS122/3_37-58; PS122/3_37-68; PS122/3_38-1; PS122/3_38-141; PS122/3_38-142; PS122/3_38-152; PS122/3_38-4; PS122/3_38-51; PS122/3_38-52; PS122/3_38-93; PS122/3_38-94; PS122/3_38-95; PS122/3_38-96; PS122/3_38-97; PS122/3_38-98; PS122/3_39-45; PS122/3_39-46; PS122/3_39-47; PS122/3_39-48; PS122/3_39-87; PS122/3_39-88; PS122/3_39-89; PS122/3_39-90; PS122/3_39-91; PS122/3_39-92; PS122/3_40-14; PS122/3_40-15; PS122/4; PS122/4_44-121; PS122/4_44-122; PS122/4_44-155; PS122/4_44-156; PS122/4_44-157; PS122/4_44-193; PS122/4_44-215; PS122/4_44-216; PS122/4_44-218; PS122/4_44-220; PS122/4_44-249; PS122/4_44-44; PS122/4_44-45; PS122/4_44-46; PS122/4_44-47; PS122/4_45-107; PS122/4_45-108; PS122/4_45-132; PS122/4_45-16; PS122/4_45-17; PS122/4_45-176; PS122/4_45-177; PS122/4_45-179; PS122/4_45-18; PS122/4_45-180; PS122/4_45-181; PS122/4_45-182; PS122/4_45-46; PS122/4_45-62; PS122/4_45-63; PS122/4_45-8; PS122/4_45-86; PS122/4_45-87; PS122/4_45-89; PS122/4_46-104; PS122/4_46-105; PS122/4_46-106; PS122/4_46-107; PS122/4_46-108; PS122/4_46-109; PS122/4_46-110; PS122/4_46-111; PS122/4_46-112; PS122/4_46-135; PS122/4_46-138; PS122/4_46-139; PS122/4_46-140; PS122/4_46-146; PS122/4_46-181; PS122/4_46-187; PS122/4_46-188; PS122/4_46-190; PS122/4_46-191; PS122/4_46-192; PS122/4_46-288; PS122/4_46-29; PS122/4_46-30; PS122/4_46-31; PS122/4_46-32; PS122/4_46-48; PS122/4_46-50; PS122/4_47-156; PS122/4_47-175; PS122/4_47-176; PS122/4_47-177; PS122/4_47-178; PS122/4_47-179; PS122/4_47-22; PS122/4_47-23; PS122/4_47-61; PS122/4_47-66; PS122/4_47-76; PS122/4_47-77; PS122/4_47-97; PS122/4_48-100; PS122/4_48-142; PS122/4_48-143; PS122/4_48-144; PS122/4_48-145; PS122/4_48-146; PS122/4_48-147; PS122/4_48-148; PS122/4_48-177; PS122/4_48-186; PS122/4_48-187; PS122/4_48-188; PS122/4_48-189; PS122/4_48-190; PS122/4_48-191; PS122/4_48-196; PS122/4_48-40; PS122/4_48-41; PS122/4_48-42; PS122/4_48-43; PS122/4_48-44; PS122/4_48-45; PS122/4_48-47; PS122/4_48-58; PS122/4_48-83; PS122/4_48-85; PS122/4_48-86; PS122/4_49-15; PS122/4_49-19; PS122/4_49-20; PS122/4_49-46; PS122/4_49-47; PS122/4_49-48; PS122/4_49-7; PS122/4_49-8; PS122/4_99-56; PS122/4_99-57; PS122/4_99-58; PS122/4_99-59; PS122/4_99-60; PS122/4_99-61; PS122/4_99-62; PS122/4_99-63; PS122/4_99-65; PS122/4_99-66; PS122/4_99-67; PS122/4_99-68; PS122/4_99-69; PS122/4_99-70; PS122/4_99-71; PS122/4_99-72; PS122/4_99-73; PS122/5; PS122/5_59-193; PS122/5_59-204; PS122/5_59-206; PS122/5_59-222; PS122/5_59-235; PS122/5_59-250; PS122/5_59-267; PS122/5_59-268; PS122/5_59-292; PS122/5_59-302; PS122/5_59-303; PS122/5_59-304; PS122/5_59-313; PS122/5_59-314; PS122/5_59-315; PS122/5_59-350; PS122/5_59-351; PS122/5_59-352; PS122/5_59-353; PS122/5_59-354; PS122/5_59-368; PS122/5_60-10; PS122/5_60-117; PS122/5_60-118; PS122/5_60-119; PS122/5_60-120; PS122/5_60-128; PS122/5_60-142; PS122/5_60-143; PS122/5_60-144; PS122/5_60-145; PS122/5_60-168; PS122/5_60-170; PS122/5_60-2; PS122/5_60-24; PS122/5_60-25; PS122/5_60-26; PS122/5_60-43; PS122/5_60-74; PS122/5_60-75; PS122/5_60-76; PS122/5_60-77; PS122/5_60-78; PS122/5_60-91; PS122/5_61-10; PS122/5_61-102; PS122/5_61-103; PS122/5_61-104; PS122/5_61-105; PS122/5_61-132; PS122/5_61-138; PS122/5_61-139; PS122/5_61-140; PS122/5_61-162; PS122/5_61-166; PS122/5_61-167; PS122/5_61-168; PS122/5_61-170; PS122/5_61-198; PS122/5_61-2; PS122/5_61-230; PS122/5_61-231; PS122/5_61-232; PS122/5_61-233; PS122/5_61-234; PS122/5_61-235; PS122/5_61-236; PS122/5_61-237; PS122/5_61-25; PS122/5_61-27; PS122/5_61-28; PS122/5_61-29; PS122/5_61-4; PS122/5_61-5; PS122/5_61-8; PS122/5_61-9; PS122/5_61-97; PS122/5_62-10; PS122/5_62-100; PS122/5_62-101; PS122/5_62-102; PS122/5_62-119; PS122/5_62-123; PS122/5_62-124; PS122/5_62-125; PS122/5_62-126; PS122/
    Type: Dataset
    Format: application/zip, 15 datasets
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  • 27
    Publication Date: 2024-06-26
    Description: This dataset provides 37 CTD profiles measured on board of the German R/V Sonne (cruise SO269) in the northern South China Sea, under the project SOCLIS – South China Sea Natural Laboratory under Climatic and Anthropogenic Stress, in August and September 2019. The 37 profiles of temperature, salinity, dissolved oxygen, fluorescence, turbidity, surface irradiance (SPAR) and Photosynthetically active radiation (PAR), and sound velocity were measured using a CTD Sea-Bird SBE 911 plus, together with oxygen sensor (SBE 43), PAR sensor (Biospherical, QCP-2350 + QSR-2200), and a fluorometer (WET Labs ECO-FLNTU(RT)D). Additionally, dissolved oxygen, potential temperature and sigma-theta (with reference to the surface) were calculated. The 37 additional CTD files complement the physical oceanography dataset (Waniek et al., 2021).
    Keywords: physical oceanography; SOCLIS; South China Sea; South China Sea Natural Laboratory under Climatic and Anthropogenic Stress
    Type: Dataset
    Format: application/zip, 37 datasets
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  • 28
    Publication Date: 2024-06-26
    Description: This set provides 68 CTD profiles of temperature, conductivity, dissolved oxygen, fluorescence, turbidity, Surface Photosynthetically Active Radiation (SPAR) and sound velocity measured on board the Chinese R/V Hai Yang Di Zhi Shi Hao in September 2018, in the northern South China Sea, within the project Megacity's fingerprint in Chinese marginal seas: Investigation of pollutant fingerprints and dispersal. Additionally, oxygen saturation, salinity, potential temperature and potential density are also provided. The dataset was used to study the presence and spatial distribution of natural and synthetic estrogenic compounds and pharmaceutical and personal care products (PPCPs) in the Pearl River Estuary and northern shelf of the South China Sea.
    Keywords: Megacity's fingerprint in Chinese marginal seas: Investigation of pollutant fingerprints and dispersal; MEGAPOL; physical oceanography; South China Sea
    Type: Dataset
    Format: application/zip, 68 datasets
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  • 29
    Publication Date: 2024-06-26
    Description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The submitted data package include 19 data files (for each buoy) and 1 buoy information file.
    Keywords: 2019T56, FMI_05_06; 2019T58; 2019T62; 2019T62, PRIC_09_01; 2019T64; 2019T66; 2019T67; 2019T68; 2019T70; 2020T73, PRIC_10_01; 2020T74, PRIC_10_02; 2020T75, PRIC_10_03; 2020T76, PRIC_10_04; 2020T77, PRIC_10_05; 2020T79; 2020T79, PRIC_10_07; AF-MOSAiC-1; AF-MOSAiC-1_103; AF-MOSAiC-1_115; AF-MOSAiC-1_118; AF-MOSAiC-1_122; AF-MOSAiC-1_128; AF-MOSAiC-1_182; AF-MOSAiC-1_77; AF-MOSAiC-1_89; AF-MOSAiC-1_90; AF-MOSAiC-1_99; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_2; AT-MOSAiC-1_5; ice thickness; mass balance; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-124; PS122/1_1-125; PS122/1_1-171, 2019T68, FMI_06_01; PS122/1_1-172, 2019T69; PS122/1_1-173, 2019T70, FMI_06_03; PS122/1_1-175, 2019T72, FMI_06_05; PS122/1_1-177, 2019T58, FMI_05_09; PS122/1_1-224, 2019T63, PRIC_09_02; PS122/1_1-225, 2019T64, PRIC_09_03; PS122/1_1-226, 2019T65, PRIC_09_04; PS122/1_1-272; PS122/1_1-285; 2019T47; FMI04-06; PS122/1_1-314, 2019T67; PS122/3; PS122/3_28-107; PS122/3_28-91; PS122/3_28-92; PS122/3_28-93; PS122/3_28-94; PS122/3_28-95; PS122/4; PS122/4_43-155; PS122/4_43-156; PS122/4_43-163; PS122/4_43-170; PS122/4_43-174; SAMS Ice Mass Balance buoy; Sea ice; SIMBA; snow depth
    Type: Dataset
    Format: application/zip, 20 datasets
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  • 30
    Publication Date: 2024-06-26
    Description: This dataset provides 131 CTD profiles measured on board of the German R/V Sonne (cruise SO269) in the northern South China Sea, under the project SOCLIS – South China Sea Natural Laboratory under Climatic and Anthropogenic Stress, in August and September 2019. The 131 profiles of temperature, salinity, dissolved oxygen, fluorescence, turbidity, surface irradiance (SPAR) and Photosynthetically active radiation (PAR), and sound velocity were measured using a CTD Sea-Bird SBE 911 plus, together with oxygen sensor (SBE 43), PAR sensor (Biospherical, QCP-2350 + QSR-2200), and a fluorometer (WET Labs ECO-FLNTU(RT)D). Additionally, oxygen saturation, potential temperature and sigma-theta (with reference to the surface) were calculated. The 131 CTD profiles are distributed by 81 stations and aim to study the impact of a growing anthropogenic pressure around the Pearl River Estuary into the northern shelf of the South China Sea towards the deep sea. The dataset was used to study the presence and spatial distribution of natural and synthetic estrogenic compounds and pharmaceutical and personal care products (PPCPs) in the Pearl River Estuary and northern shelf of the South China Sea.
    Keywords: physical oceanography; SOCLIS; South China Sea; South China Sea Natural Laboratory under Climatic and Anthropogenic Stress
    Type: Dataset
    Format: application/zip, 131 datasets
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  • 31
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T62 (a.k.a. PRIC_09_01,IRIDIUM number 300234068706290) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in October 2019. The buoy was deployed at the second year coring site of the MOSAiC central observatory with initial thicknesses of snow and ice of 0.18 and 0.80 m, respectively, on 29 October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 96 to -382 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of place, depth and time between 29 October 2019 and 28 July 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured until 1 August 2020.
    Keywords: 2019T62; 2019T62, PRIC_09_01; Arctic Ocean; Coring site; Heating rise; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC_ICE; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-125; PS122/4; PS122/4_43-156; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 32
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T68 (a.k.a. FMI_06_01, IRIDIUM number 300234068708330) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in October 2019. The buoy was deployed at the M1site with initial thicknesses of snow and ice of 0.17 and 1.81 m, respectively, on 5 October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 81 to -397 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 5 October 2019 and 5 June 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2019T68; AF-MOSAiC-1; AF-MOSAiC-1_103; Akademik Fedorov; Arctic Ocean; distributed network; Heating rise; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1_1-171, 2019T68, FMI_06_01; PS122/4; PS122/4_43-163; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperate
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 33
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T70 (a.k.a. FMI_06_03, IRIDIUM number 300234068705280) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in October 2019. The buoy was deployed at the L3 site with initial thicknesses of snow and ice of 0.06 and 0.48 m, respectively, on 10 October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 70 to -408 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 10 October 2019 and 5 August 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2019T70; AF-MOSAiC-1; AF-MOSAiC-1_99; Akademik Fedorov; Arctic Ocean; distributed deformation; Heating rising; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1_1-173, 2019T70, FMI_06_03; PS122/4; PS122/4_43-174; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 34
    Publication Date: 2024-06-26
    Description: The tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was operated during leg 4 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The balloon was operated from the Balloon Town site in the central observatory, close to RV Polarstern (Shupe et al., 2022). Balloon payload included an extended meteorological package, an ultrasonic anemometer package, a broadband radiation package, the video ice particle sampler, and the cubic aerosol measurement platform. An overview showing the value of the combined observation is displayed by Lonardi et al. (2022). The data processing is described in Pilz et al. (2023). The present dataset covers the processed terrestrial irradiances measured by the broadband radiation package on 18 flights between 29 June and 27 July 2020. Terrestrial irradiances were corrected for the time response of the pyrgeometer (6 s) and averaged over 3 s. Flagging of ice and liquid water is provided, based on the analysis of 0.1 Hz pictures of the upper pyrgeometer. Solar irradiances are also available (doi:10.1594/PANGAEA.944232).
    Keywords: ABL; AC3; Arctic; Arctic Amplification; Arctic Ocean; BELUGA; Broadband radiation; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_45-141; PS122/4_45-156; PS122/4_46-183; PS122/4_47-165; PS122/4_47-166; PS122/4_47-167; PS122/4_47-168; PS122/4_47-171; PS122/4_47-99; PS122/4_48-131; PS122/4_48-133; PS122/4_48-135; PS122/4_48-139; PS122/4_48-216; PS122/4_48-217; PS122/4_48-218; PS122/4_49-98; Radiation fluxes; Tethered balloon; Tethered balloon system BELUGA; vertical profile
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 35
    Publication Date: 2024-06-26
    Description: In the framework of the Multidisciplinary Observatory for the Study of Arctic Climate (MOSAiC) expedition, the tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was deployed from a research camp on an ice floe drifting in the Fram Strait in Summer 2020. The BELUGA system consists of a 90 m³ helium-filled balloon with modular instrumentation. Lonardi et al. (2022) gives an overview of the BELUGA observations during MOSAiC leg 4. Pilz et al. (2023) describe the BELUGA operations and data processing routines. The present data set covers the aerosol particle measurements with the Cubic Aerosol Measurement Platform (CAMP) (details in Pilz et al., 2022) on 18 flights with mean altitudes of 1 km between 29 June and 27 July 2020.
    Keywords: ABL; AC3; aerosol particles; Arctic; Arctic Amplification; Arctic Ocean; BELUGA; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_45-141; PS122/4_45-156; PS122/4_46-182; PS122/4_47-100; PS122/4_47-166; PS122/4_47-169; PS122/4_47-170; PS122/4_47-98; PS122/4_48-127; PS122/4_48-128; PS122/4_48-130; PS122/4_48-132; PS122/4_48-134; PS122/4_48-137; PS122/4_48-138; PS122/4_48-216; PS122/4_48-218; PS122/4_49-98; Tethered balloon; Tethered balloon system BELUGA; vertical profiles
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 36
    Publication Date: 2024-06-26
    Description: Title: Results of physical properties, elemental analysis and stable isotope investigations of cores (kasten core and multicore) from the central Baltic Sea (Gotland Basin). Coring and sample processing: A 10.30 m long kasten core (KaL#20048-1) and a 10.40 m long gravity core (SL#20048-4) were recovered (57°23.14'N, 020°15.51'E; water depth 241 m) by r/v Poseidon and a multicore (MUC#20007-1) at the same position by r/v Alexander von Humboldt in 1994 (expedition 94.44.13.2). The kasten core was opened and logged on board, and 10 cc samples for determinations of physical properties, elemental and isotope analyses were taken with graduated plastic cylinders (syringes with sawn-off tops) punched into the cleaned core face. The syringes were sealed by end caps, taped and frozen until shorebased analyses. The entire kasten core was archived in plastic boxes. The gravity core (SL #20048-4) was cut into 1-m sections, capped and stored. The multicore #20007-1 was sliced into 1-cm slices which were frozen immediately after core retrieval. Age model: The age model of kasten core #20048-1 and multicore 20007-1 is based on 12 accelerator mass spectrometry (AMS) 14C age determinations performed at the Leibniz Labor für Altersbestimmung und Isotopenforschung at Christian-Albrechts-Universität zu Kiel/Germany. Twelve samples were from the kasten core and 2 from the multicore. Two 14C ages from the lowermost core section of the kasten core were not used for the age model, because they yielded ages that were too old. Instead, the age model in the lowermost core sequence relies on three lithological markers: Termination of Yoldia stage, final drainage of the Baltic Ice Lake, and first drainage of the Baltic Ice Lake. Two samples for 14C dating of the multicore were chosen from intervals that are older than 1950 CE based on 210Pb ages. Comparison of weight % total organic carbon (TOC) and delta 13C-values of kasten core and multicore showed that the top 10.5 cm of the kasten core were lost during recovery, because the surface sediment in the Gotland Basin is soupy. Sample depths in the kasten core have thus been adjusted for this loss (adjusted depth denoted as xxx cm adj.). All 14C ages were converted to calendar ages using the marine data set of the INTCAL98 radiocarbon calibration curve (Stuiver et al., 1998) and the Oxcal 3.5 software. Gravity core #20048-4 was correlated to kasten core 20048-1 from the same location by physical properties and visual inspection and the age model for the kasten core was applied to the gravity core after correction for over-penetration. Physical properties, elemental and isotope analysis: Syringe samples and MUC slices were weighed, freeze dried, and weighed again in the shorebased laboratory to determine water content and dry-bulk density. Subsamples were then homogenised by mortar and pestle for further analyses. Approximately 20 mg of the homogenized sample was weighed into tared silver-foil sample vessels for elemental composition (total carbon, total nitrogen, organic carbon) and isotope analyses (delta15N, delta13C of organic carbon). Total carbon, total nitrogen and delta15N (in permil versus Air N2) were determined simultaneously in a Carlo Erba/Fisons 1108 Elemental Analyzer connected to an isotope-ratio mass spectrometer (Finnigan Delta S) after combustion. A second sample split was treated with 2N HCl to remove inorganic carbon. On this sub-sample, the concentrations of TOC and isotope ratio delta13C of organic carbon (given in permil versus V-PDB) were determined simultaneously in a Carlo Erba/Fisons 1108 Elemental Analyzer connected to an isotope-ratio mass spectrometer (Finnigan Delta S). The reference gas was pure CO2 from a cylinder calibrated against carbonate (NBS- 18, 19, 20). The standard deviation for replicate analyses of delta13C was less than 0.2 permil.
    Keywords: Age model; Baltic Sea; Delta 13C of POC; Delta 15N of sediment; elemental analysis; GOBEX; Gotland Basin; Gotland Basin Experiment; Physical properties
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 37
    Publication Date: 2024-06-26
    Description: Snow depth measurements were obtained using a MagnaProbe (Snow-Hydro, Fairbanks, Alaska, USA) during walking surveys on most ice stations during PS124. The walks were randomly done on the entire floe. The MagnaProbe measurements were accompanied by measurements of the total sea-ice thickness with a ground-based multifrequency electromagnetic induction instrument (GEM-2) along the same transect.
    Keywords: Antarctic; AWI_SeaIce; DFG-SPP1158; GPF 19-2_039, COSMUS; ICE; Ice station; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS124; PS124_20210210_1; PS124_20210211_2; PS124_20210214_3; PS124_20210215_4; PS124_20210216_5; PS124_20210218_6; PS124_20210222_7; PS124_20210223_8; PS124_20210224_9; PS124_20210225_10; PS124_20210226_11; PS124_20210227_12; PS124_20210306_14; PS124_20210310_15; PS124_20210311_16; Sea ice; Sea Ice Physics @ AWI; snow; SPP1158
    Type: Dataset
    Format: application/zip, 15 datasets
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  • 38
    Publication Date: 2024-06-26
    Description: This data set is a higher-processing-level version of Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Hutter et al., 2022; doi:10.1594/PANGAEA.950339), where the individual 30-second segments of the small scale grid flights have been combined into merged grids. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (https://hdl.handle.net/10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & https://hdl.handle.net/10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The merged data are stored in netCDF and geotiff format. The data are drift corrected using the position and heading data of RV Polarstern and elevation offset corrected using overlapping segments to overcome degraded GPS altitude data 〉85°N. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate. The merged grids include all data variables of the gridded 30-s segments: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. Also the calculated elevation offset correction term is provided for each flight as a csv file.
    Keywords: 20191002_01; 20191020_01; 20191112_02; 20191119_01; 20191130_01; 20191224_01; 20191225_01; 20191228_01; 20200107_01; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200121_01; 20200123_02; 20200128_01; 20200204_01; 20200212_01; 20200217_02; 20200227_01; 20200321_01; 20200423_01; Airborne laser scanning; Arctic Ocean; Freeboard; HELI; Helicopter; IceSense; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_44_78_2020061601; PS122_4_45_112_2020070401; PS122_4_45_36_2020063001; PS122_4_46_36_2020070701; PS122_4_47_96_2020071701; PS122_4_48_69_2020072201; PS122/1; PS122/1_2-167; PS122/1_2-57; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_19-44; PS122/2_19-46; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_21-41; PS122/2_21-78; PS122/2_22-16; PS122/2_23-14; PS122/2_24-31; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-42; PS122/3_32-70; PS122/3_35-49; PS122/3_37-63; PS122/3_39-109; PS122/4; PS122/4_44-78; PS122/4_45-112; PS122/4_45-36; PS122/4_46-36; PS122/4_47-96; PS122/4_48-69; PS122/5; PS122/5_61-190; PS122/5_61-62; PS122/5_62-166; PS122/5_62-67; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: application/zip, 35 datasets
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  • 39
    Publication Date: 2024-06-26
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-113; PS122/1_5-62; PS122/1_6-118; PS122/1_6-16; PS122/1_6-31; PS122/1_7-18; PS122/1_7-55; PS122/1_8-125; PS122/1_9-22; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-17; PS122/3_31-75; PS122/3_32-11; PS122/3_32-34; PS122/3_32-78; PS122/3_33-27; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-152; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_45-61; PS122/4_46-172; PS122/4_46-174; PS122/4_46-175; PS122/4_46-176; PS122/4_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_47-31; PS122/4_48-213; PS122/4_48-4; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-165; PS122/5_60-166; PS122/5_60-167; PS122/5_60-28; PS122/5_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea-ice draft; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 90 datasets
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  • 40
    Publication Date: 2024-06-26
    Description: Nitrate and UV-absorbance spectra were measured by a SUNA V2 UV-spectrometer (Satlantic) mounted in the sensor skid of a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Data use manufacturer calibration.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-113; PS122/1_5-62; PS122/1_6-118; PS122/1_6-16; PS122/1_6-31; PS122/1_7-18; PS122/1_7-55; PS122/1_9-22; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-17; PS122/3_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; PS122/3_33-27; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_48-213; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-5; PS122/5_61-200; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 71 datasets
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  • 41
    Publication Date: 2024-06-26
    Description: We present a baseline study of “living” (rose Bengal stained) benthic foraminifera from fjords of South Georgia, including fjords with and without tidewater glaciers. Their distribution is analyzed in the light of new fjord water and sediment property data, including grain size and sorting, total organic carbon, total sulfur, and δ13C of bulk organic matter. Four well-defined foraminiferal assemblages are recognized. Miliammina earlandi dominates in the most restricted, near-shore and glacier-proximal habitats, Cassidulinoides aff. parkerianus in mid-fjord areas, and Globocassidulina aff. rossensis and an assemblage dominated by Ammobaculites rostratus, Reophax subfusiformis, and Astrononion echolsi in the outer parts of fjords. Miliammina earlandi can tolerate strong glacial influence, including high sedimentation rates in fjord heads and sediment anoxia, as inferred from sediment color and total organic carbon/sulfur ratios. This versatile species thrives both in the food-poor inner reaches of fjords that receive mainly refractory petrogenic organic matter from glacial meltwater, and in shallow-water coves where it benefits from an abundant supply of fresh, terrestrial and marine organic matter. A smooth-walled variant of C. aff. parkerianus, apparently endemic to South Georgia, is the calcareous rotaliid best adapted to inner fjord conditions characterized by moderate glacial influence and sedimentation rates and showing no preference for particular sedimentary redox conditions. The outer parts of fjords with clear, well-oxygenated bottom water, are inhabited by G. aff. rossensis. Ammobaculites rostratus, R. subfusiformis, and A. echolsi dominate in the deepest-water settings with water salinities ≥ 33.9 PSU and temperatures 0.2–1.4 °C, characteristic for Winter Water and Upper Circumpolar Deep Water.
    Keywords: fjords; Foraminifera; sediment; South Georgia; Sub-Antarctic
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 42
    Publication Date: 2024-06-26
    Description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg4 (from June until August 2020) of the MOSAIC experiment from Longyearbyen - Arctic Ocean this camera shots were taken with a temporal resolution between 1 minute and 16 seconds. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
    Keywords: Arctic Ocean; ATMOBS; Atmospheric Observatory; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; OCEANET; Polarstern; PS122/4; PS122/4_43-11; PS122/4_43-145; total sky image
    Type: Dataset
    Format: application/zip, 70 datasets
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  • 43
    Publication Date: 2024-06-26
    Description: This dataset contains energy content measurements performed on zooplankton collected in the Arctic Ocean during the MOSAiC expedition (PS122) from November 2019 untill September 2020. Energy content measurements were done on Apherusa glacialis, Themisto abyssorum, Chaetognatha, Thysanoessa longicaudata and Calanus hyperboreus. These species are all known prey of polar cod (Boreogadus saida), and their energy content was measured to be included in a bioenergetic model of the growth rate of this predator and to gain insight in the differences between prey species. The meaurements were performed on freeze-dried specimens using a 6725 semi-micro oxygen calorimeter (Parr, USA) connected to a 6772 calorimetric thermometer (Parr, USA).
    Keywords: Arctic; Arctic Ocean; BEAST; bomb-calorimetry; energy density; MOSAiC; MOSAiC_ECO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Nansen closing net; NN; Polarstern; PS122/1; PS122/1_7-48; PS122/1_7-81; PS122/2; PS122/2_17-40; PS122/2_17-77; PS122/2_18-33; PS122/2_19-16; PS122/2_19-31; PS122/2_20-11; PS122/2_20-16; PS122/2_20-24; PS122/2_21-42; PS122/2_22-24; PS122/3; PS122/3_30-69; PS122/3_31-62; PS122/3_36-112; PS122/3_37-108; PS122/3_39-38; PS122/3_39-55; PS122/4; PS122/4_44-75; PS122/4_45-32; PS122/4_45-55; PS122/4_46-41; PS122/4_47-135; PS122/4_48-213; PS122/4_49-21; PS122/5; PS122/5_61-196; PS122/5_62-90; Remotely operated sensor platform BEAST; Ring net; RN; Zooplankton
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 44
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC12 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 05 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 05 November 2019 and 14 May 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second-year ice ridge next to RV Polarstern and remote sensing site RS1.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC12; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-123; PS122/4; PS122/4_47-149; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 45
    Publication Date: 2024-06-26
    Description: This collection contains a total of four datasets, one for alkenone-derived and GDGT-derived temperatures in the South Pacific, another with OH-GDGTs in the very southern part of the study area, and a fourth for the development of a new GDGT-based calibration of the Southern Ocean.
    Keywords: Alkenones; AWI_Paleo; chilean margin; GDGTs; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; RI-OH'; South Pacific; TEXH86; TEXL86; UK37'
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 46
    Publication Date: 2024-06-26
    Description: To comprehensively document the δ13C content of the South Atlantic Central Water (SACW), we used high-resolution thermocline-dwelling foraminiferal δ13C data obtained from three distinct marine sediment cores situated in the NW, SW, and SE regions of the South Atlantic. Our dataset enables a comprehensive examination of millennial-scale variations in SACW δ13C content across the entire basin. Notably, the thermocline δ13C records from the SE and NW sectors of the South Atlantic consistently exhibit concurrent negative excursions during most of the Heinrich Stadials (HS), a pattern that contrasts sharply with the absence of such negative excursions in the thermocline δ13C record from the SW sector of the South Atlantic
    Keywords: AWI_INSPIRES; Globorotalia inflata; Globorotalia truncatulinoides; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; International Science Program for Integrative Research in Earth Systems; Mg/Ca-based sea surface temperature; SACW; South Atlantic; Thermodynamic isotopic air-sea equilibration
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 47
    Publication Date: 2024-06-26
    Description: Data presented here were collected during the cruise SO290 with RV SONNE from Nuoméa (New Caledonia) to Nuoméa (New Caledonia) (April 15, 2022 - Mai, 12, 2022). In total, 19 underwater light profiles were collected at 7 stations, using a free-falling hyperspectral light profiler. The system used was a SEABIRD HyperPro II (SN 099, former Satlantic), equipped with a irradiance sensor to measure downward irradiance in water (Ed, SN 262) and a radiance sensor for the upward radiance in water (Lu, SN 227). A reference unit was attached to the ship to measure the downward irradiance in air (Es, SN 223). The sensors were pre-calibrated by the manufacturer and validated prior to the cruise with a reference lamp. Data were recorded with the SatView software (V 2.9.5_7) and processed from raw to Level1, 1b, 2, 2s to Level 3a using the ProSoft Processing software (V 7.7.19_2). Measured data were binned in 0.5 m depth intervals. A dark correction was made automatically based on shutter measurements by the instrument. Measurements with a tilt higher than 5 were not taken into account during processing. Spectra were interpolated to 1 nm intervals. For each station the hyperspectral profiles for each parameter cover the wavelength range from 400-700 nm, for Ed and Es in [W/m nm], for Lu in [W/m nm sr]. For Ed, Lu and Es descriptive statistics are given including min, max, mean, median and standard deviation of the tilt and the photosynthetically active radiation PAR [µmol photons/m² s (sr)], integrated from 400 - 700 nm. To allow an assignment of above water conditions to the respective depth measurements, Es spectra were given as a function of depth, recalculated from data Level2s. The Profiler measurements were only conducted during daylight. Raw data are available on request from the principal investigator.
    Keywords: Ed; Es; hyperspectral; irradiance; Light/Optics; LIOP; Lu; PaläoTaNZ; radiance; SO290; SO290_12-4; SO290_14-4; SO290_1-6; SO290_16-4; SO290_19-5; SO290_3-5; SO290_8-5; Sonne_2; Tasman Sea; underwater light field
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 48
    Publication Date: 2024-06-26
    Description: This data set reports two highly resolved δ¹¹B-derived CO₂ records during the late Pleistocene (0-400 ky) from ODP Sites 999 (Caribbean) and 871 (West Pacific) based on the δ¹¹B of the planktonic foraminifera species Globigerinoides ruber measured by MC-ICPMS (multicollector inductively coupled plasma mass spectrometer). The δ¹¹B-derived CO₂ is tested against the ice core CO₂ record as well as compared with different CO₂ calculation approaches and proxies of local foraminifera dissolution to evaluate drivers of CO₂ offset between the two records. We report (1) δ¹¹B, Mg/Ca and input data for boron-derived CO₂ calculation, (2) Mg/Ca-derived sea surface temperature calculated with various approaches, (3) the effect of Mg/Ca treatment on boron-derived CO₂, (4) δ¹⁸O and δ¹³C of benthic foraminifera and G. ruber, and (5) fragmentation index and sand fraction.
    Keywords: Boron isotope; CO2; Foraminifera; Ocean Drilling Program; ODP; Pleistocene
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 49
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    PANGAEA
    In:  Supplement to: Müller, Peter J; Suess, Erwin (1979): Productivity, sedimentation rate, and sedimentary organic matter in the oceans. I.- Organic matter preservation. Deep-Sea Research Part A. Oceanographic Research Papers, 26(12), 1347-1362, https://doi.org/10.1016/0198-0149(79)90003-7
    Publication Date: 2024-06-26
    Description: Comparison of rates of accumulation of organic carbon in surface marine sediments from the central North Pacific, the continental margins off northwest Africa, northwest and southwest America, the Argentine Basin, and the western Baltic Sea with primary production rates suggests that the fraction of primary produced organic carbon preserved in the sediments is universally related to the bulk sedimentation rate. Accordingly, less than 0.01% of the primary production becomes fossilized in slowly accumulating pelagic sediments [(2 to 6 mm (1000 y)**-1] of the Central Pacific, 0.1 to 2% in moderately rapidly accumulating [2 to 13 cm (1000 y)**-1] hemipelagic sediments off northwest Africa, northwest America (Oregon) and southeast America (Argentina), and 11 to 18% in rapidly accumulating [66 to 140 cm (1000 y)**-1] hemipelagic sediments off southwest America (Peru) and in the Baltic Sea. The emiprical expression: %Org-C = (0.0030*R*S**0.30)/(ps(1-Theta)) implies that the sedimentary organic carbon content (% Org-C) doubles with each 10-fold increase in sedimentation rate (S), assuming that other factors remain constant; i.e., primary production (R), porosity and sediment density (ps). This expression also predicts the sedimentary organic carbon content from the primary production rate, sedimentation rate, dry density of solids, and their porosity; it may be used to estimate paleoproductivity as well. Applying this relationship to a sediment core from the continental rise off northwest Africa (Spanish Sahara) suggests that productivity there during interglacial oxygen isotope stages 1 and 5 was about the same as today but was higher by a factor of 2 to 3 during glacial stages 2, 3, and 6.
    Keywords: 12897; 13939; 13947; Accumulation rate, total organic carbon; Atlantic Ocean; Baltic Sea; BC; BCR; Box corer; Box corer (Reineck); Calculated; Calculated, see reference(s); Calculated from mass/volume; Carbon, organic, total; Density, dry bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; East Atlantic; Elevation of event; Event label; GIK10127-2; GIK10132-1; GIK10140-1; GIK10141-1; GIK10145-1; GIK10147-1; GIK10175-1; GIK12310-3; GIK12327-4; GIK12328-4; GIK12329-4; GIK12336-1; GIK12337-4; GIK12344-3; GIK12345-4; GIK12347-1; GIK12392-1; GIK13209-2; KAL; KAL15; Kasten corer; Kasten corer 15 cm; Latitude of event; Longitude of event; M12392-1; M25; Meteor (1964); Pacific; PC; Percentage; Peru Continental Margin; Piston corer; Porosity, fractional; Primary production of carbon per area, yearly; Sedimentation rate; V15; V15-141; V15-142; VA-05/4; VA-08/1; VA-10/3; Valdivia (1961); Vema; W7610B-08; W7706; W7706-36; W7706-39; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 234 data points
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  • 50
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    PANGAEA
    In:  Supplement to: Keigwin, Lloyd D (1979): Late Cenozoic stable isotope stratigraphy and paleoceanography of DSDP sites from the east equatorial and central north Pacific Ocean. Earth and Planetary Science Letters, 45(2), 361-382, https://doi.org/10.1016/0012-821X(79)90137-7
    Publication Date: 2024-06-26
    Description: Stable isotopic analyses of Middle Miocene to Quaternary foraminiferal calcite from east equatorial and central north Pacific DSDP cores have provided much new informatlon on the paleoceanography of the Pacific Neogene The history of delta18O change in planktonic foraminifera reflects the changing Isotopic composition and temperature of seawater at the time of test formation. Changes in the isotopic composition of benthonic foraminifera largely reflect changes m the volume of continental ice. Isotopic data from these cores indicates the following sequence of events related to continental glaciation (1) A permanent Antarctic ice sheet developed late in the Middle Miocene (about 13 to 11.5 m.y. ago) (2) The Late Miocene (about 11.5 to 5 m.y. ago) is marked by significant variation in delta18O of about 0.5‰ throughout, indicating instability of Antarctic ice cap size or bottom-water temperatures (3) The early Pliocene (5 to about 3 m.y. ago) was a time of relative stability in ice volume and bottom-water temperature (4) Growth of permanent Northern Hemisphere ice sheets is referred to have begun about 3 m.y. ago (5) The late Pliocene (3 to about 1.8 m.y. ago) is marked by one major glaciation or bottom-water cooling dated between about 2.1 to 2.3 m.y. (6) There is some evidence that the frequency of glacial-interglacial cycles increased at about 0.9 m.y. There is significant variation in delta13C at these sites but no geochemical interpretation is offered in this paper. The most outstanding feature of delta13C results is a permanent shift of about -0.8‰ found at about 6.5 m.y. in east equatorial and central north Pacific benthonic foraminifera. This benthonic carbon shift may form a useful marker in deep-sea cores recovering Late Miocene carbonates.
    Keywords: 16-157; 16-158; 32-310; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg16; Leg32; North Pacific/CONT RISE; North Pacific/RIDGE; South Pacific/RIDGE
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 51
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    PANGAEA
    In:  Supplement to: MacDougall, J Douglas (1977): Uranium in marine basalts: Concentration, distribution and implications. Earth and Planetary Science Letters, 35(1), 65-70, https://doi.org/10.1016/0012-821X(77)90029-2
    Publication Date: 2024-06-26
    Description: The uranium content of glass from chilled margins of oceanic tholeiitic basalt flows is generally 〈0.1 ppm, even for old samples with highly altered crystalline interiors. Such low values represent the original whole rock concentrations, although subsequent to eruption low-temperature weathering has added uranium, and other elements, to the crystalline portions of these basalts. Consideration of the K/U ratios of altered samples suggests that basalt weathering may provide the major oceanic sink for these two elements.
    Keywords: 16-163; 18-177A; 2-10; 22-211; 22-213; 22-215; 23-220; 24-231; 24-236; 24-238; 25-240; 34-319; 34-320; 5-32; 5-36; 5-37; 5-39; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Indian Ocean//BASIN; Indian Ocean//FRACTURE ZONE; Indian Ocean/Arabian Sea/HILL; Indian Ocean/Gulf of Aden/BASIN; Leg16; Leg18; Leg2; Leg22; Leg23; Leg24; Leg25; Leg34; Leg5; North Atlantic/CONT RISE; North Pacific/CONT RISE; North Pacific/HILL; North Pacific/PLAIN; North Pacific/RIDGE; South Pacific/BASIN
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 52
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC10 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 28 January 2020. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 28 January 2020 and 1 July 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTCs was installed in level first-year ice next to the Fort Ridge. Ice mass balance SIMBA 2020T60 was installed at the Fort Ridge: doi:10.1594/PANGAEA.924269. Radiation station 2020R10 was installed in level first-year ice next to the Fort Ridge: doi:10.1594/PANGAEA.949124.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC10; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_28-18; PS122/4; PS122/4_45-173; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 53
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC11 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 20 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 20 November 2019 and 10 June 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the first-year ice ridge next to RV Polarstern and remote sensing site RS1. Ice mass balance SIMBA 2020T79 was installed at Met City close to remote sensing site RS1: doi:10.1594/PANGAEA.940712.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC11; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-112; PS122/4; PS122/4_48-81; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 54
    Publication Date: 2024-06-26
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_99-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 55
    Publication Date: 2024-06-26
    Description: This data collection of the ~17 m long piston core MR16-09 PC03 contains age pointers for an age model, major element data (Ti, Rb) from an XRF scan, biomarkers (n-alkanes, alkenones and brGDGTs), and d18O from foraminifera (G. bulloides and G. truncatulinoides). The piston core MR16-09 PC03 is located near the southern Chilean continental margin, at a distance of ~150 km. In addition, there are alkenone data (C37:4) from sites GeoB3327 and PS75/034 (Ho et al., 2012), which are located north and south of MR16-09 PC03, respectively, and further away from the Chilean margin.
    Keywords: Alkenone; Biomarkers; brGDGT; Chile; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); MR16-09 PC03; n-alkane; Patagonia; Patagonian Ice Sheet; REKLIM; Sediment core; SST; UK'37; UK37
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 56
    Publication Date: 2024-06-26
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment cores were taken at three locations, off the coast of Herschel Island, Canada, using a hand corer: YC22_MR_6: 69°34'23.12N, 138°54'37.76W; 3 m water depth; July 6th 2022 YC22_MR_7: 69°34'23.53N, 138°56'37.66W, 6 m water depth; July 7th 2022 YC22_MR_8: 69°30'22.75''N, 138°53'21.69''W; 45 m water depth; July 24th 2022 Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. The acquired data includes: 1) Sediment data: Bulk total organic carbon content (Lamping et al., 2021) and its isotopic values for 13C (Brodie et al., 2011; Werner & Brand, 2001) and 14C (Mollenhauer et al., 2021) and Biomarker data: Quantifying alkanes (CPI) , and fatty acids (TAR ratio) as described by Wei et al. (2020), Glycerol dialkyl glycerol tetraethers (GDGTs basis for BIT-Index) after Hopmans et al. (2016), Hopanes (fßß) following instructions by Meyer et al., (2019), and Sterols (Dinosterol) after Dauner et al. (2022). 2) Porewater was extracted from the cores using rhizomes and quantified as described in Oni et al., (2015). Dissolved inorganic carbon isotope signatures were determined as CO2 for 13C (Torres et al., 2005) and 14C (Mollenhauer et al., 2021). 3) Intact polar lipid fatty acids were extracted from the sediments, purified, and 14C analysis was performed as described in Ruben et al. (2023). The 13C isotopy was determined with GC-IRMS (Elvert et al., 2003). The respective precursor lipids of the polar fraction used for isotope analysis were quantified following the method described in Wörmer et al. (2013). Datasets are to be found at doi:10.1594/PANGAEA.966262 and doi:/10.1594/PANGAEA.966264. 4) Sedimentary age model of core YC22_MR_7 assuming constant rate of supply (CRS) model (Appleby, 2001), based on data obtained with a HPGe gamma detector.
    Keywords: NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 57
    Publication Date: 2024-06-26
    Keywords: CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma, in situ; DEPTH, water; Event label; Fluorescence; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Latitude of event; Longitude of event; Maria S. Merian; MSM49; MSM49_583-1; MSM49_583-12; MSM49_584-1; MSM49_585-2; MSM49_585-9; MSM49_586-2; MSM49_586-8; MSM49_587-5; MSM49_587-8; MSM49_595-14; MSM49_595-2; MSM49_596-1; MSM49_597-1; MSM49_598-1; MSM49_599-1; MSM49_600-1; MSM49_601-1; MSM49_601-12; MSM49_601-4; MSM49_601-8; MSM49_602-3; MSM49_602-9; MSM49_603-1; MSM49_603-10; MSM49_604-10; MSM49_604-6; MSM49_CTD01; MSM49_CTD02; MSM49_CTD03; Oxygen; Pressure, water; Radiation, photosynthetically active; Radiation, photosynthetically active, surface; Salinity; Sound velocity in water; South Atlantic Ocean; Temperature, water; Turbidity
    Type: Dataset
    Format: text/tab-separated-values, 310660 data points
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  • 58
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ARK-XX/1; AWI_PhyOce; CTD; DATE/TIME; DEPTH, water; Gear identification number; J020; MOOR; Mooring; North Greenland Sea; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS66; PS66/055-2; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1805196 data points
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  • 59
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ARK-XXI/1a; AWI_PhyOce; CTD; DATE/TIME; DEPTH, water; Gear identification number; J025; MOOR; Mooring; North Greenland Sea; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS68; PS68/107-1; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2160477 data points
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  • 60
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: AWI_PhyOce; CTD; DATE/TIME; DEPTH, water; Gear identification number; J031; Maria S. Merian; MOOR; Mooring; MSM05/5; North Greenland Sea; Physical Oceanography @ AWI; Pressure, water; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3645360 data points
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  • 61
    Publication Date: 2024-06-26
    Description: During RV Maria S. Merian cruise MSM67 refraction and wide-angle reflection seismic data were acquired. We present seismic record sections (.sgy format) of ocean bottom seismometer components from thirty stations along the W-E oriented seismic profile MSM67-P01, which is situated at the Jan Mayen Ridge. The profile stretches over a distance of 266 km and was shot using an airgun array of six G-gun clusters with a total volume of 50 l at 140 bar. A total of 2226 shots were fired at a distance of ~110 m with an airgun towed behind the vessel in a depth of 8 m. Data are unprocessed, however, they are corrected for instrument drift along the profile using the symmetry of the direct arrival and the data are time corrected.
    Keywords: Event label; File content; File format; File name; File size; Iceland Sea; Jan Mayen Micro-Continent; Maria S. Merian; MSM67; MSM67_1-1; MSM67_1-10; MSM67_1-11; MSM67_1-12; MSM67_1-13; MSM67_1-14; MSM67_1-15; MSM67_1-16; MSM67_1-17; MSM67_1-18; MSM67_1-19; MSM67_1-2; MSM67_1-20; MSM67_1-22; MSM67_1-23; MSM67_1-24; MSM67_1-25; MSM67_1-26; MSM67_1-27; MSM67_1-28; MSM67_1-29; MSM67_1-3; MSM67_1-30; MSM67_1-4; MSM67_1-5; MSM67_1-6; MSM67_1-7; MSM67_1-8; MSM67_1-9; MSM67_2-1; North Atlantic; Norwegian Sea; OBS; OBS097; OBS098; OBS099; OBS100; OBS101; OBS102; OBS103; OBS104; OBS105; OBS107; OBS108; OBS109; OBS110; OBS111; OBS112; OBS113; OBS114; OBS115; OBS116; OBS117; OBS118; OBS119; OBS120; OBS121; OBS122; OBS123; OBS124; OBS125; OBS126; Ocean bottom seismometer; Optional event label; P01 (BGR17-2R1); SEIS; Seismic; Seismic wide-angle reflection and refraction data; Uniform resource locator/link to metadata file; Uniform resource locator/link to sgy data file
    Type: Dataset
    Format: text/tab-separated-values, 469 data points
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  • 62
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-26
    Keywords: CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; Oxygen; pH; pH sensor, SBE 27; POS534; POS534_10-2; POS534_16-1; POS534_17-1; POS534_33-1; POS534_34-1; Poseidon; Salinity; Station label; STEMM-CCS; Strategies for Environmental Monitoring of Marine Carbon Capture and Storage; Temperature, water; VCTD02B_2; VCTD06; VCTD07B; VCTD10; VCTD11B
    Type: Dataset
    Format: text/tab-separated-values, 473812 data points
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  • 63
    Publication Date: 2024-06-26
    Description: Bulk seawater, surface microlayer, ice core and brine samples from the Arctic, the North and Tropical Atlantic and Raunefjorden were investigated on their sugar concentrations. Free neutral monosaccharides (DFCHO) and combined monosaccharides/polysaccharides (CCHO) were determined using high performance anionic exchange chromatography with pulsed amperometric detection (HPAEC-PAD) and electro-dialysis for prior desalination.
    Keywords: AC3; amino sugars; ANT-XXVIII/5; arabinose; Arabinose; Arctic Amplification; Arctic Ocean; Area/locality; ARK-XXXI/1.1,PASCAL; ARK-XXXI/1.2; brine; Campaign; Cape Verde; CapeVerde-WS_2011; Carbohydrates, dissolved, neutral free; Carbohydrates, dissolved combined; combined monosaccharides; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; free monosaccharides; fructose; Fructose; fucose; Fucose; Galactosamine; galactose; Galactose; Galacturonic acid; Glucosamine; glucose; Glucose; Glucuronic acid; High performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD); HPAEC-PAD; Ice core; ICEM; Ice measurement; Latitude of event; Longitude of event; mannose; Mannose/Xylose; North Atlantic; Polarstern; polysaccharides; PS106_30-ICEM; PS106_83-WS; PS106_ZODIAK_170714; PS106/1; PS106/2; PS79; PS79/324-WS; Raunefjorden; Raunefjorden_WS_2011; rhamnose; Rhamnose; Rubber boat, Zodiac; Sample code/label; sea surface microlayer; seawater; uronic acids; Water sample; WS; xylose; ZODIAC
    Type: Dataset
    Format: text/tab-separated-values, 204 data points
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  • 64
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-26
    Keywords: CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; LATITUDE; LONGITUDE; Oxygen; pH; pH sensor, SBE 27; POS534; POS534_12-1; Poseidon; Salinity; STEMM-CCS; Strategies for Environmental Monitoring of Marine Carbon Capture and Storage; Temperature, water; VCTD03
    Type: Dataset
    Format: text/tab-separated-values, 1490726 data points
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  • 65
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-26
    Keywords: CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; LATITUDE; LONGITUDE; Oxygen; pH; pH sensor, SBE 27; POS534; POS534_32-1; Poseidon; Salinity; STEMM-CCS; Strategies for Environmental Monitoring of Marine Carbon Capture and Storage; Temperature, water; VCTD09
    Type: Dataset
    Format: text/tab-separated-values, 38459 data points
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  • 66
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: Attenuation, optical beam transmission; AWI_PhyOce; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN 1015; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Latitude of event; Lazarev Sea; Longitude of event; Number of observations; Oxygen; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS117; PS117_1-1; PS117_13-2; PS117_14-1; PS117_15-1; PS117_18-2; PS117_19-1; PS117_19-4; PS117_2-1; PS117_21-1; PS117_22-2; PS117_26-1; PS117_28-1; PS117_29-1; PS117_30-1; PS117_31-1; PS117_33-1; PS117_33-6; PS117_34-2; PS117_35-6; PS117_4-1; PS117_41-1; PS117_41-12; PS117_41-6; PS117_41-9; PS117_5-1; PS117_53-4; PS117_54-2; PS117_56-2; PS117_57-3; PS117_58-1; PS117_62-1; PS117_6-3; PS117_63-1; PS117_64-4; PS117_66-1; PS117_68-2; PS117_69-1; PS117_7-1; PS117_71-1; PS117_72-3; PS117_74-1; PS117_76-1; PS117_81-2; PS117_83-2; PS117_84-1; PS117_90-1; PS117_92-1; PS117_94-1; PS117_99-3; Salinity; Scotia Sea; South Atlantic Ocean; SUIT; Surface and under ice trawl; Temperature, water; Temperature, water, potential; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1560054 data points
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  • 67
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: AWI_PhyOce; Bottle number; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T1526-C1222; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Der Nordatlantik als Teil des Erdsystems; Elevation of event; Event label; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Greenland - Ice Sheet/Ocean Interaction: From process understanding to an analysis of the regional system; GROCE; Latitude of event; Longitude of event; Maria S. Merian; MSM76; MSM76_100-1; MSM76_101-1; MSM76_102-1; MSM76_104-1; MSM76_105-1; MSM76_106-1; MSM76_107-1; MSM76_108-1; MSM76_109-1; MSM76_1-1; MSM76_110-1; MSM76_11-1; MSM76_111-1; MSM76_112-1; MSM76_113-1; MSM76_114-1; MSM76_115-1; MSM76_116-1; MSM76_118-1; MSM76_119-1; MSM76_120-1; MSM76_121-1; MSM76_122-1; MSM76_123-1; MSM76_124-1; MSM76_125-1; MSM76_126-1; MSM76_129-1; MSM76_130-1; MSM76_13-1; MSM76_131-1; MSM76_133-1; MSM76_134-1; MSM76_135-1; MSM76_136-1; MSM76_137-1; MSM76_138-1; MSM76_14-1; MSM76_141-1; MSM76_142-1; MSM76_143-1; MSM76_144-1; MSM76_145-1; MSM76_146-1; MSM76_147-1; MSM76_148-1; MSM76_149-1; MSM76_15-1; MSM76_16-1; MSM76_162-1; MSM76_163-1; MSM76_164-1; MSM76_165-1; MSM76_166-1; MSM76_167-1; MSM76_168-1; MSM76_169-1; MSM76_170-1; MSM76_17-1; MSM76_171-1; MSM76_172-1; MSM76_173-1; MSM76_174-1; MSM76_175-1; MSM76_176-1; MSM76_177-1; MSM76_180-1; MSM76_181-1; MSM76_182-1; MSM76_183-1; MSM76_184-1; MSM76_185-1; MSM76_186-1; MSM76_187-1; MSM76_188-1; MSM76_189-1; MSM76_190-1; MSM76_19-1; MSM76_191-1; MSM76_192-1; MSM76_193-1; MSM76_194-1; MSM76_195-1; MSM76_196-1; MSM76_197-1; MSM76_200-1; MSM76_201-1; MSM76_207-1; MSM76_208-1; MSM76_209-1; MSM76_2-1; MSM76_210-1; MSM76_211-1; MSM76_212-1; MSM76_215-1; MSM76_216-1; MSM76_218-1; MSM76_220-1; MSM76_222-1; MSM76_224-1; MSM76_24-1; MSM76_26-1; MSM76_27-1; MSM76_28-1; MSM76_29-1; MSM76_30-1; MSM76_3-1; MSM76_31-1; MSM76_32-1; MSM76_33-1; MSM76_34-1; MSM76_35-1; MSM76_36-1; MSM76_37-1; MSM76_38-1; MSM76_39-1; MSM76_40-1; MSM76_4-1; MSM76_41-1; MSM76_42-1; MSM76_43-1; MSM76_44-1; MSM76_45-1; MSM76_46-1; MSM76_47-1; MSM76_48-1; MSM76_49-1; MSM76_50-1; MSM76_5-1; MSM76_53-1; MSM76_55-1; MSM76_56-1; MSM76_57-1; MSM76_58-1; MSM76_59-1; MSM76_60-1; MSM76_6-1; MSM76_61-1; MSM76_62-1; MSM76_63-1; MSM76_64-1; MSM76_65-1; MSM76_66-1; MSM76_67-1; MSM76_68-1; MSM76_69-1; MSM76_70-1; MSM76_7-1; MSM76_71-1; MSM76_72-1; MSM76_73-1; MSM76_74-1; MSM76_75-1; MSM76_76-1; MSM76_77-1; MSM76_78-1; MSM76_79-1; MSM76_80-1; MSM76_8-1; MSM76_81-1; MSM76_82-1; MSM76_83-1; MSM76_84-1; MSM76_85-1; MSM76_86-1; MSM76_87-1; MSM76_88-1; MSM76_89-1; MSM76_90-1; MSM76_91-1; MSM76_92-1; MSM76_93-1; MSM76_94-1; MSM76_95-1; MSM76_96-1; MSM76_97-1; MSM76_98-1; MSM76_99-1; NACLIM; Nordatlantik; North Atlantic; North Atlantic Climate; Oxygen; Oxygen saturation; Oxygen sensor, SBE 43; Physical Oceanography @ AWI; Pressure, water; Priority Programme 1889 Regional Sea Level Change and Society; RACE; Regional Atlantic Circulation and global Change; Salinity; SPP1889; Temperature, water; Temperature, water, potential; TRR181; TRR181 Energy transfers in Atmosphere and Ocean
    Type: Dataset
    Format: text/tab-separated-values, 4671 data points
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  • 68
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ARK-XIX/2; AWI_PhyOce; CTD; DATE/TIME; DEPTH, water; Gear identification number; J017; MOOR; Mooring; North Greenland Sea; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS64; PS64/188-2; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 724708 data points
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  • 69
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ARK-XXI/1a; AWI_PhyOce; CTD; DATE/TIME; DEPTH, water; FRAM; FRontiers in Arctic marine Monitoring; Gear identification number; Hausgarten; J023; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS68; PS68/085-1; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3761756 data points
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  • 70
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: AWI_PhyOce; CTD; DATE/TIME; DEPTH, water; Gear identification number; J027; Maria S. Merian; MOOR; Mooring; MSM02/2; MSM02/2_551-3; North Greenland Sea; Physical Oceanography @ AWI; Pressure, water; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2372884 data points
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  • 71
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ARK-XXIII/1; AWI_PhyOce; CTD; DATE/TIME; DEPTH, water; Gear identification number; J034; MOOR; Mooring; North Greenland Sea; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS72; PS72/044-1; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2919372 data points
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  • 72
    Publication Date: 2024-06-26
    Description: The here presented sample set is from three cores from the Guaymas Basin (Gulf of California), covering a broad range of depositional environments. This includes sediments from the oxygen minimum zone, from a semi-restricted oxic graben, and from near a hydrothermal vent field. Cores were taken with a multiple corer.
    Keywords: Aluminium; Carbon, organic, total; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, sediment/rock; Event label; Fe speciation; Guaymas Basin; Gulf of California; Iron; Iron in pyrite; MAKS; Manganese; Mo isotopes; Molybdenum; MUC; MultiCorer; oxygen minimum zone; SFB754; SO241; SO241_16; SO241_29; SO241_66; Sonne_2; Zinc; δ98Mo
    Type: Dataset
    Format: text/tab-separated-values, 413 data points
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  • 73
    Publication Date: 2024-06-26
    Description: We present a compilation of δ13C data to characterize the ocean circulation during the interglacials of the last 800 000 years. We selected 9 interglacials for which we have collected the available δ13C and δ18O values.
    Keywords: 108-658; 108-659; 108-664; 121-758; 130-806B; 138-846; 138-849; 154-925; 154-927; 154-929; 162-980; 162-982; 162-983; 177-1088; 177-1089; 177-1090; 184-1143; 208-1264; 208-1267; 303-U1308; 306-U1313; 68-502; 81-552; 94-607; CALYPSO; Calypso Corer; Canarias Sea; Cape Basin; Carbon isotopes; Caribbean Sea/RIDGE; CHIMEBO; circulation; COMPCORE; Composite Core; DRILL; Drilling/drill rig; Elevation of event; Event label; Exp303; Exp306; GeoB1034-1; GeoB1211-1; GeoB15016; Giant box corer; GKG; Glomar Challenger; Indian Ocean; Interglacial; Joides Resolution; Latitude of event; Leg108; Leg121; Leg130; Leg138; Leg154; Leg162; Leg177; Leg184; Leg208; Leg68; Leg81; Leg94; Longitude of event; M12/1; M6/6; Marion Dufresne (1995); MD03-2705; MD104; MD134; MD96-2048; Meteor (1986); North Atlantic; North Atlantic/FLANK; North Atlantic/PLATEAU; North Atlantic Climate 1; North Atlantic Climate 2; North Pacific Ocean; ocean; off Chile; PC; PEGASE; PICABIA; Piston corer; RC13; RC13-110; RC13-229; Robert Conrad; SO211; Sonne; South Atlantic Ocean; South China Sea; South Pacific Ocean; Walvis Ridge; Walvis Ridge, Southeast Atlantic Ocean; δ13C; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 558 data points
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  • 74
    Publication Date: 2024-06-26
    Keywords: Bathymetry; CT; EM122; EMPIRE; File format; File name; File size; hydroacoustics; M144; M144/1-track; Mediterranean; Meteor (1986); Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 75
    Publication Date: 2024-06-26
    Description: The 3D seismic cube is in SEG-Y format with SP in byte 5, inline number in byte 25 and xline number in byte 17. Processing includes repositioning, time migration and depth conversion using a smoothed velocity field based on Berndt et al., 2019. Acquisition parameters are discussed in the SO227 cruise report (Berndt et al., 2013).
    Keywords: Depth; File content; File format; File name; File size; Four-Way Closure Ridge; P-Cable 3D Seismic; P-Cable 3D seismic cube; Seismic reflection profile; SEISREFL; SO227; SO227_26-1_27-1_28-1; Sonne; Taiflux; Taiwan; Uniform resource locator/link to metadata file; Uniform resource locator/link to sgy data file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 76
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ALTITUDE; Amount of barometric tendency; Anemometer; AWI_Meteo; BARO; Barometer; Bearing of principal ice edge; CEIL; Ceilometer; Characteristic of barometric tendency; Cloud base height; Concentration or arrangement of sea ice; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; HYGRO; Hygrometer; Ice of land origin; Ice situation and trend over preceding 3 hours; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; Mean ships course; Mean ships speed; Meteorological Long-Term Observations @ AWI; Middle cloud; North Atlantic; Past weather1; Past weather2; Periode of first swell waves; Polarstern; Present weather; Pressure, atmospheric; PS115/1; PS115/1-track; Rate of accretion; Stage of development, ice; Temperature, air; Temperature, water; Thermometer; Thickness of ice accretion; Total cloud amount; Type of ice accretion; Underway cruise track measurements; Visibility sensor; Visual observation; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 4450 data points
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  • 77
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ALTITUDE; Amount of barometric tendency; Anemometer; AWI_Meteo; BARO; Barometer; Bearing of principal ice edge; CEIL; Ceilometer; Characteristic of barometric tendency; Cloud base height; Concentration or arrangement of sea ice; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Direction of second swell waves; Height of first swell waves; Height of second swell waves; Height of waves; High cloud; Horizontal visibility; HYGRO; Hygrometer; Ice of land origin; Ice situation and trend over preceding 3 hours; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; Mean ships course; Mean ships speed; Meteorological Long-Term Observations @ AWI; Middle cloud; Past weather1; Past weather2; Periode of first swell waves; Period of second swell waves; Polarstern; Present weather; Pressure, atmospheric; PS117; PS117-track; Rate of accretion; South Atlantic Ocean; Stage of development, ice; Temperature, air; Temperature, water; Thermometer; Thickness of ice accretion; Total cloud amount; Type of ice accretion; Underway cruise track measurements; Visibility sensor; Visual observation; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 8275 data points
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  • 78
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ALTITUDE; Amount of barometric tendency; Anemometer; Atlantic Ocean; 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 second 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; Past weather2; Periode of first swell waves; Period of second swell waves; Polarstern; Present weather; Pressure, atmospheric; PS120; PS120-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, 3992 data points
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  • 79
    Publication Date: 2024-06-26
    Description: Major, minor and trace element concentrations measured with ICP-OES, ICP-MS and data for SO42- in hydrothermal fluids from the Kermadec intraoceanic arc.
    Keywords: Aluminium; Barium; Boron; Bromine; Calcium; Chlorine; CTD/Rosette; CTD-RO; End member; Event label; high-chlorinity acidsulfate fluids; high Mg-fluids; HYDROTHERMADEC; hydrothermalism at intraoceanic arcs; ICP-MS (Perkin Elmer, NexION 350X); ICP-OES (Spectro, Ciros Vision); Ion chromatograph, Dionex Corporation, ICS-5000; Iron; Kermadec arc; Lead; Lithium; Magnesium; Manganese; Mediterranean stages; pH; Potassium; Remote operated vehicle; ROV; Sample ID; Silicon; SO253; SO253_13-1; SO253_18-1; SO253_23-1; SO253_26-1; SO253_30-1; SO253_35-1; SO253_45-1; SO253_48-1; SO253_61-1; SO253_64-1; SO253_67-1; SO253_72-1; SO253_74-1; SO253_78-1; SO253_80-1; SO253_81-1; SO253_85-1; SO253_9-1; Sonne_2; South Pacific Ocean; Stage; Station label; Strontium; Sulfate; trace metals; Uranium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 1371 data points
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  • 80
    Publication Date: 2024-06-26
    Keywords: Conductivity, thermal; DEPTH, sediment/rock; Event label; File content; GeoB23207-1; GeoB23207-2; GeoB23207-3; GeoB23207-4; GeoB23207-5; GeoB23207-6; GeoB23207-7; GeoB23207-8; GeoB23207-9; Heat-Flow probe; HF; Integrated thermal resistance; Sample code/label; SO266_7-10; SO266_7-2; SO266_7-3; SO266_7-4; SO266_7-5; SO266_7-6; SO266_7-7; SO266_7-8; SO266_7-9; SO266/1; Sonne_2; South China Sea; Station label; Temperature, in rock/sediment; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 819 data points
    Location Call Number Expected Availability
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  • 81
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-26
    Keywords: ASTRA-OMZ; Climate - Biogeochemistry Interactions in the Tropical Ocean; CT; DATE/TIME; DEPTH, water; LATITUDE; LONGITUDE; SFB754; SO243; SO243-track; Sonne_2; Temperature, water; Thermosalinograph; TSG; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 289312 data points
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  • 82
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-26
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CT; DATE/TIME; DEPTH, water; LATITUDE; LONGITUDE; M77/2; M77/2-track; Meteor (1986); off Peru; Salinity; SFB754; Temperature, water; Thermosalinograph; TSG; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 96862 data points
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  • 83
    Publication Date: 2024-06-26
    Description: Logging was performed with the sea floor drill rig MARUM-MeBo200 in a borehole drilled with a 103 mm diameter bit. The 1185 Slimhole Dual Induction instrument developed by ANTARES Datasystems GmbH was used. The probe was deployed in the memory mode with the logging string being inserted into the drill string and the sensors located below the drill bit. The measurement was conducted as upcast while the drill string was pulled back to the seafloor out of the borehole. Data processing was conducted using the Antares Software GeoBase 6.22.1. The trip out speed was about 1 cm/s and the logging frequency was 0.5 Hz. The probe provides both deep and medium investigation induction conductivity curves and calculated resistivity RDeep and RMedium. The investigation depth is 1.3 m for deep and 0.65 m for medium resistivity. The vertical resolution is approximately 0.8 m and the measuring range is 0.5 - 100 ohmm. The maximum error is about 5% for low resistivity values and about 25 % at the high range.
    Keywords: borehole logging; Calculated; Center for Marine Environmental Sciences; DEPTH, sediment/rock; Formosa Ridge; GeoB23227-1; MARUM; MeBo200; Medium Resistivity; resistivity; Resistivity, deep; SO266_27-1; SO266/1; Sonne_2
    Type: Dataset
    Format: text/tab-separated-values, 23784 data points
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  • 84
    Publication Date: 2024-06-26
    Description: Precipitation extremes with devastating socioeconomic consequences within the South American Monsoon System (SAMS) are expected to become more frequent in the near future. The complexity in SAMS behaviour, however, poses severe challenges for reliable future projections. Thus, robust paleo-monsoon records are needed to constrain the high spatiotemporal variability in the response of SAMS rainfall to different climatic drivers. This study uses Ti/Ca ratios from X-ray fluorescence scanning of a sediment core retrieved off eastern Brazilian to trace precipitation changes over the past 322 kyr. The results indicate that despite the spatiotemporal complexity of the SAMS, insolation-forcing is the primary pacemaker of variations in the monsoonal system. Additional modulation by atmospheric pCO2 suggests that SAMS intensity over eastern Brazil will be suppressed by rising CO2 emissions in the future. Lastly, our record reveals an unprecedented strong and persistent wet period during Marine Isotope Stage 6 driven by anomalously strong trade winds.
    Keywords: AGE; Calcium, element intensities, normalized; Calculated; DEPTH, sediment/rock; ln-Titanium/Calcium ratio; M125; M125_445-7; M125-55-7; Meteor (1986); PC; Piston corer; SAMBA; South Atlantic Ocean; Titanium, element intensities, normalized; X-ray fluorescence core scanner (XRF)
    Type: Dataset
    Format: text/tab-separated-values, 6894 data points
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  • 85
    Publication Date: 2024-06-26
    Description: Logging was performed with the sea floor drill rig MARUM-MeBo200 in a borehole drilled with a 103 mm diameter bit. The 1460 Slimhole Memory SGR instrument developed by ANTARES Datasystems GmbH was used. A CsI(Na) crystal with outer diameter of 37 mm and 250 mm length is used as detector. The probe provides Natural Gamma Ray counts and analyses the spectrum for the concentrations of the natural gamma ray emitters potassium, thorium and uranium with an accuracy of about 10%. The probe was deployed in the memory mode with the logging string being inserted into the drill string and the sensors located below the drill bit. The measurement was conducted as upcast while the drill string was pulled back to the seafloor out of the borehole. The trip out speed was about 1 cm/s and the logging frequency was 0.5 Hz. Data processing was conducted using the Antares software GeoBase 6.22.1 assuming a constant bore hole diameter according the bit diameter.
    Keywords: borehole logging; Center for Marine Environmental Sciences; DEPTH, sediment/rock; Formosa Ridge; GeoB23227-1; MARUM; MeBo200; Natural gamma ray; Potassium; SGR; SO266_27-1; SO266/1; Sonne_2; Thorium; Uranium
    Type: Dataset
    Format: text/tab-separated-values, 47572 data points
    Location Call Number Expected Availability
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  • 86
    Publication Date: 2024-06-26
    Description: Logging was performed with the sea floor drill rig MARUM-MeBo200 in a borehole drilled with a 103 mm diameter bit. The 1460 Slimhole Memory SGR instrument developed by ANTARES Datasystems GmbH was used. A CsI(Na) crystal with outer diameter of 37 mm and 250 mm length is used as detector. The probe provides Natural Gamma Ray counts and analyses the spectrum for the concentrations of the natural gamma ray emitters potassium, thorium and uranium with an accuracy of about 10%. The probe was deployed in the memory mode with the logging string being inserted into the drill string and the sensors located below the drill bit. The measurement was conducted as upcast while the drill string was pulled back to the seafloor out of the borehole. The trip out speed was about 1 cm/s and the logging frequency was 0.5 Hz. Data processing was conducted using the Antares software GeoBase 6.22.1 assuming a constant bore hole diameter according the bit diameter.
    Keywords: borehole logging; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB23237-1; MARUM; MeBo200; Natural gamma ray; Potassium; SGR; SO266_37-1; SO266/1; Sonne_2; Thorium; Uranium
    Type: Dataset
    Format: text/tab-separated-values, 28020 data points
    Location Call Number Expected Availability
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  • 87
    Publication Date: 2024-06-26
    Description: Logging was performed with the sea floor drill rig MARUM-MeBo200 in a borehole drilled with a 103 mm diameter bit. The 1343 Slimhole Memory Acoustic instrument developed by ANTARES Datasystems GmbH was used. The probe consists of 1 transmitter and two receivers in 0.9 and 1.0 m distance, respectively. Sound velocity in the formation was calculated from the time difference of signal arrival at both receivers using the waveform processing module of the Antares software GeoBase 6.22.1. Values with a semblance quality of less than 90% were discarded. The vertical resolution is about 10 cm. The accuracy is better than 10 m/s.
    Keywords: acoustic; borehole logging; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB23234-1; MARUM; MeBo200; SO266_34-1; SO266/1; Sonne_2; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 5304 data points
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  • 88
    Publication Date: 2024-06-26
    Description: Raw data including physical oceanography from mooring DS-28-17 recovered during Maria S. Merian cruise MSM76.
    Keywords: 64PE426; 64PE426_DS-28-17; ADCP; CTD; DS-28-17; Maria S. Merian; MOOR; Mooring; MSM76; MSM76_140-1; MSM76_140-1, 64PE426_DS-28-17; North Atlantic; Pelagia
    Type: Dataset
    Format: application/zip, 27.7 MBytes
    Location Call Number Expected Availability
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  • 89
    Publication Date: 2024-06-26
    Description: The discrete biogeochemical measurements from RV Polarstern PS114 and RV Maria S. Merian MSM77 sampled for dissolved organic matter, heterotrophic bacteria and gel particles. The parameters include chlorophyll, DOC/TDN/TDP/DOP, dissolved hydrolysable amino acids, dissolved combined carbohydrates, heterotrophic bacterial abundance and production, gel particles like TEP and CSP. The samples were aquired within 0-100 m of the Greenland Sea between 78°N to 80°N and 2°W to 14°E. The data was collected daily on board PS114 from 16th July 2018-23rd July 2018 and on board MSM77 from 16th September 2018-4th October 2018. The water collection occured using a CTD and laboratory methods varied by parameter. Chlorophyll was extracted using acetone, DOC/TDN was analysed using High-Temperature Catalytic Oxidation (TOC-VCSH), TDP/DOP was analysed colorimetrically using Acidic Molybdate Solution, dissolved hydrolysable amino acids were analysed using High Performal Liquid Chromatography (HPLC) Ortho-phthaldialdehyde Derivatization, dissolved combined carbohydrates were analysed using High Performance Anion Exchange Chromatography (HPAEC) coupled with Pulsed Amperometric Detection (PAD), cell abundance was analysed using flow cytometery, bacterial production was analysed using radioactively labelled 3H-Leucine and apllication of the microcentrifuge method, gel particles were analysed microscopically followed by image analysis. The purpose of data collection was to understand seasonal cycling of organic mater and heterotrophic bacteria dynamics within microbial loop.
    Keywords: 3H-leucine microcentrifuge; Acetone extraction (Turner Designs); Acidic molybdate solution; Alanine; Amino acid, total hydrolysable dissolved; Arabinose; Arctic; Arginine; Aspartic acid; Bacteria; Bacteria, heterotrophic with relatively high DNA content; Bacteria, heterotrophic with relatively low DNA content; Bacterial production; Carbohydrates, dissolved combined; Carbon, organic, dissolved; Chlorophyll a; Coomassie stainable particles; CSP; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; FACSCalibur flow-cytometer (Becton Dickinson); FRAM; FRontiers in Arctic marine Monitoring; Fucose; Galactosamine; Galactose; Galacturonic acid; Glucosamine; Glucose; Glucuronic acid; Glutamic acid; Glycine; Greenland Sea; Hausgarten; High performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD), Dionex 3000; High Performance Liquid Chromatography (HPLC) ortho-phthaldialdehyde derivatization, Agilent 1260; High temperature catalytic oxidation (TOC-VCSH); Isoleucine; LATITUDE; Leucine; Leucine incorporation rate; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; Mannose/Xylose; Maria S. Merian; Micro-ARC; Microscopy, 20x magnification (Zeiss Axio Scope.A1); MSM77; MSM77_12-1; MSM77_13-1; MSM77_17-1; MSM77_19-1; MSM77_22-1; MSM77_24-1; MSM77_29-1; MSM77_3-1; MSM77_36-1; MSM77_37-1; MSM77_40-1; MSM77_41-1; MSM77_4-3; MSM77_44-1; MSM77_46-4; MSM77_47-1; MSM77_48-1; MSM77_52-1; MSM77_53-3; MSM77_54-1; MSM77_6-1; MSM77_8-1; Nitrogen, total dissolved; organic carbon; Phenylalanine; Phosphorus, organic, dissolved; Phosphorus, total dissolved; Polarstern; PS114; PS114_12-1; PS114_13-2; PS114_16-1; PS114_20-1; PS114_23-1; PS114_25-2; PS114_31-1; PS114_32-2; PS114_33-1; PS114_4-1; PS114_9-1; Rhamnose; Serine; Station label; TEP; Threonine; Transparent exopolymer particles; Transparent exopolymer particles per carbon biomass; Treatment: temperature; Tyrosine; Understanding the links between pelagic microbial ecosystems and organic matter cycling in the changing Arctic (μARC); Valine
    Type: Dataset
    Format: text/tab-separated-values, 6627 data points
    Location Call Number Expected Availability
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  • 90
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; North Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS115/2; PS115/2-track; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
    Location Call Number Expected Availability
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  • 91
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: AWI_Paleo; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; ParaSound; Polarstern; PS; PS120; PS120_0_underway-15; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 68 data points
    Location Call Number Expected Availability
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  • 92
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Description: Multibeam data were collected with RV Polarstern along the transit route of cruise PS120 and data acquisition was almost continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD and XBT data from other working groups on board. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 13 (https://doi.org/10.7289/v5f769gt) or World Ocean Atlas 09 (https://accession.nodc.noaa.gov/0094866). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne/Atlas multibeam processing format (.asd) were recorded with Teledyne/Atlas Parastore software as well as Teledyne Reson format (.s7k) in Teledyne PDS. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: AWI_GeoPhy; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Expendable bathythermograph; File content; LATITUDE; LONGITUDE; Marine Geophysics @ AWI; Number of pings; Polarstern; PS120; PS120_0_underway-14; PS120_10-2; PS120_11-3; PS120_1-2; PS120_12-1; PS120_13-1; PS120_15-3; PS120_17-3; PS120_19-3; PS120_2-2; PS120_3-1; PS120_4-1; PS120_5-3; PS120_6-1; PS120_7-2; PS120_8-3; PS120_9-1; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Atlas Hydrosweep DS-3; XBT
    Type: Dataset
    Format: text/tab-separated-values, 11647 data points
    Location Call Number Expected Availability
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  • 93
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: CT; DATE/TIME; Echosounder, Simrad, EK60; LATITUDE; LONGITUDE; Polarstern; PS119; PS119-track; South Pacific Ocean; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Expected Availability
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  • 94
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: AWI_Paleo; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; ParaSound; Polarstern; PS; PS119; PS119_0_underway-14; South Atlantic Ocean; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 249 data points
    Location Call Number Expected Availability
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  • 95
    Publication Date: 2024-06-26
    Description: Multibeam data were collected with RV Polarstern. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from an SV Probe, which was attached to geological sampling devices. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 13 (https://doi.org/10.7289/v5f769gt). SVP data were applied during acquisition. Data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne/Atlas multibeam processing format (*.asd) were recorded with Teledyne/Atlas Parastore software running on Windows operating system. Teledyne/Atlas data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: Arctic Ocean; AWI_GeoPhy; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DATE/TIME; DS3; Event label; File content; GC; Giant box corer; GKG; Gravity corer; LATITUDE; LONGITUDE; Marine Geophysics @ AWI; Polarstern; PS115/2; PS115/2_0_Underway-1; PS115/2_11-3; PS115/2_23-1; PS115/2_25-1; PS115/2_30-1; PS115/2_32-1; PS115/2_51-1; Swath-mapping system Atlas Hydrosweep DS-3
    Type: Dataset
    Format: text/tab-separated-values, 151 data points
    Location Call Number Expected Availability
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  • 96
    Publication Date: 2024-06-26
    Keywords: Arctic Ocean; AWI_Paleo; BC; Box corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS115/1; PS115/1_47-1
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
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  • 97
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2024-06-26
    Keywords: AWI_Paleo; GC; Gravity corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS118; PS118_5-2; Weddell Sea
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
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  • 98
    Publication Date: 2024-06-26
    Keywords: AWI_Paleo; GC; Gravity corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS119; PS119_1-2; Scotia Sea
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2024-06-26
    Keywords: AWI_Paleo; GC; Gravity corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS119; PS119_2-1; Scotia Sea
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
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  • 100
    Publication Date: 2024-06-26
    Keywords: AWI_Paleo; GC; Gravity corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS119; PS119_8-1; South Atlantic Ocean
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
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