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  • Data  (39)
  • 2020-2023
  • 1965-1969  (39)
  • 1968  (39)
Collection
Keywords
Publisher
Years
  • 2020-2023
  • 1965-1969  (39)
Year
  • 1
    Publication Date: 2024-05-15
    Keywords: BC; Box corer; Calculated; Calculated from mass/volume; Carbon, organic, total; Chlorine; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GIK2092; Iron, acid-soluble; Iron/Sulfur ratio; Kieler Bucht; Sulfate/Chlorine ratio; Sulfur; Sulfur, total; Sulfur, water-insoluble; Sulfur, water-insoluble, without organic S; Sulfur in sulfate; Sulfur in sulfide; Water content, wet mass; δ34S, sulfate; δ34S, sulfide; δ34S, sulfur, water-insoluble; δ34S, sulfur, water-insoluble, without organic S; δ34S, total
    Type: Dataset
    Format: text/tab-separated-values, 226 data points
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  • 2
    Publication Date: 2024-05-15
    Keywords: BC; Box corer; Calculated; Calculated from mass/volume; Carbon, organic, total; Chlorine; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GIK2094; Iron, acid-soluble; Iron/Sulfur ratio; Kieler Bucht; Sulfate/Chlorine ratio; Sulfur; Sulfur, total; Sulfur, water-insoluble; Sulfur, water-insoluble, without organic S; Sulfur in sulfate; Sulfur in sulfide; Water content, wet mass; δ34S, sulfate; δ34S, sulfide; δ34S, sulfur, water-insoluble; δ34S, sulfur, water-insoluble, without organic S; δ34S, total
    Type: Dataset
    Format: text/tab-separated-values, 297 data points
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  • 3
    Publication Date: 2024-05-15
    Keywords: BC; Box corer; Calculated; Calculated from mass/volume; Carbon, organic, total; Chlorine; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GIK2091; Iron, acid-soluble; Iron/Sulfur ratio; Kieler Bucht; Sulfate/Chlorine ratio; Sulfur; Sulfur, total; Sulfur, water-insoluble; Sulfur, water-insoluble, without organic S; Sulfur in sulfate; Sulfur in sulfide; Water content, wet mass; δ34S, sulfate; δ34S, sulfide; δ34S, sulfur, water-insoluble; δ34S, sulfur, water-insoluble, without organic S; δ34S, total
    Type: Dataset
    Format: text/tab-separated-values, 214 data points
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  • 4
    Publication Date: 2024-05-15
    Keywords: BC; Box corer; Calculated; Calculated from mass/volume; Carbon, organic, total; Chlorine; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GIK2096; Iron, acid-soluble; Iron/Sulfur ratio; Kieler Bucht; Sulfate/Chlorine ratio; Sulfur; Sulfur, total; Sulfur, water-insoluble; Sulfur, water-insoluble, without organic S; Sulfur in sulfate; Sulfur in sulfide; Water content, wet mass; δ34S, sulfate; δ34S, sulfur, water-insoluble; δ34S, sulfur, water-insoluble, without organic S; δ34S, total
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Antarctic Research Facility, Florida State University
    Publication Date: 2024-04-07
    Description: Cores, submarine photography and dredges described in this report were taken during the R/V Eltanin Cruise 17 in 1965 by the Department of Geology, Florida State University. Cores and dredges were recovered for 49 stations along with bottom photography and are available at the Antarctic Research Facility, Florida State University for sampling and study.
    Keywords: Comment; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Dredge; DRG; ELT17; ELT17.001-PC; ELT17.001-RD; ELT17.003-PC; ELT17.003-PH; ELT17.004-PH; ELT17.005A-PH; ELT17.006-PC; ELT17.007-PC; ELT17.007-PH; ELT17.008-PC; ELT17.008-PH; ELT17.009-RD; ELT17.013-RS; ELT17.015-PC; ELT17.018-PC; ELT17.022-PC; ELT17.023-PC; ELT17.027-PC; ELT17.027-PH; ELT17.029-BT; ELT17.029-PC; ELT17.029-PH; ELT17.030A-PH; ELT17.030-PC; ELT17.031-PC; ELT17.031-PH; ELT17.032A-PH; ELT17.032-PC; ELT17.032-PH; ELT17.032-TC; ELT17.035-BT; ELT17.036-BT; ELT17.036-PH; ELT17.10C; ELT17.18C; ELT17.19C; ELT17.20C; ELT17.29C; ELT17.2C; ELT17.30C; ELT17.32C; ELT17.33C; ELT17.34C; ELT17.4C; ELT17.5C; ELT17.9C; Eltanin; Event label; File name; GC; Gravity corer; Identification; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; PC; Photo/Video; Piston corer; Position; PV; Quantity of deposit; Sediment type; Size; Southern Ocean; Substrate type; TC; TRAWL; Trawl net; Trigger corer; Uniform resource locator/link to image; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 745 data points
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  • 6
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    Unknown
    PANGAEA
    In:  Supplement to: Hartmann, Martin; Lohmann, Ludwig (1968): Untersuchungen an der heißen Salzlauge und am Sediment des Atlantis II-Tiefs in Roten Meer. Meteor Forschungsergebnisse, Deutsche Forschungsgemeinschaft, Reihe C Geologie und Geophysik, Gebrüder Bornträger, Berlin, Stuttgart, C1, 13-20
    Publication Date: 2024-02-03
    Description: Two water samples and two sediment samples taken in 1965 by the R. V. "Meteor" in the area of the hot salt brine of the Atlantis II-Deep were chemically investigated, and in addition the sediment samples were subjected to X-ray and optical analysis. The investigation of the sulfur-isotope-ratios showed the same values for all water samples. This information combined with the Ca-sulfate solubility data leads us to conclude that, for the most part, the sulfate content of the salt brine resulted from mixing along the boundary with the normal seawater. In this boundary area gypsum or anhydrite is formed which sinks down to the deeper layers of the salt brine where it is redisolved when the water becomes undersaturated. In the laboratory, formation of CaS04 precipitate resulted from both the reheating of the water sample from the uppermost zone of the salt brine to the in-situ-temperature as well as by the mixing of the water sample with normal Red Sea water. The iron and manganese delivered by the hot spring is separated within the area of the salt brine by their different redox-potentials. Iron is sedimented to a high amount within the salt brine, while, as evidenced by its small amounts in all sediment samples, the more easily reducible manganese is apparently carried out of the area before sedimentation can take place. The very good layering of the salt brine may be the result of the rough bottom topography with its several progressively higher levels allowing step-like enlargements of the surface areas of each successive layer. Each enlargement results in larger boundary areas along which more effective heat transfer and mixing with the next layer is possible. In the sediment samples up to 37.18% Fe is found, mostly bound as very poorly crystallized iron hydroxide. Pyrite is present in only very small amounts. We assume that the copper is bound mostly as sulfide, while the zinc is most likely present in an other form. The sulfur-isotope-investigations indicate that the sulfur in the sediment, bound as pyrite and sulfides, is not a result of bacterical sulfate-reduction in the iron-rich mud of the Atlantis II-Deep, but must have been brought up with the hot brine.
    Keywords: Alkalinity, total; Atlantis II Deep; BC; Box corer; Calcium; Calcium carbonate; Carbon, organic, total; Chloride; Comment; Copper; Description; GIK/IfG; IIOE - International Indian Ocean Expedition; Institute for Geosciences, Christian Albrechts University, Kiel; Iron; Loss on ignition; M1; M1_1207; Magnesium; Manganese; Meteor (1964); ORDINAL NUMBER; Oxygen; pH; Sample code/label; Sulfate; Sulfur, total; Zinc; δ34S, sulfate
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Supplement to: Seckel, Hansjörg; Stober, Manfred (1968): Höhenänderung des grönländischen Inlandeises 1959 - 1968. Polarforschung, 38(1/2), 215-221, hdl:10013/epic.29319.d001
    Publication Date: 2024-01-15
    Description: The members of the two International Glaciological Greenland Expeditions (EGIG) in 1959 and 1968 determined the altitudes in the West-East-profile by levelling. The comparison of these two measurements gives evidence of the change of altitudes and of the surface-waves. The ways of measurement and of analysis are described here. The graphic representation of the result is discussed here in connexion with the possible causes.
    Keywords: Distance; EGIG; Expédition Glaciologique Internationale au Groenlande; ICESUR; Ice survey; RULER; Ruler stick; Sampling/drilling ice; Snow thickness
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
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  • 8
    Publication Date: 2023-11-01
    Keywords: Abies; Acer; Aconitum-type; Allium vineale-type; Alnus glutinosa-type; Alnus viridis-type; Anthericum; Apiaceae; Artemisia; Aruncus-type; Asphodelus; Betula; Boraginaceae; Botrychium; Brassicaceae; Bupleurum; Caltha-type; Campanula; Carpinus; Caryophyllaceae; Centaurea montana-type; Centaurea scabiosa-type; cf. Populus; cf. Sambucus; Chenopodiaceae; Circaea; Cladium mariscus; Compositae Liguliflorae; Compositae Tubuliflorae; Corylus; Counting, palynology; Cyperaceae; DACH; Dachnowski corer; DEPTH, sediment/rock; Dryas; Dryopteris filix-mas; Dryopteris thelypteris; Empetrum; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Ericaceae; Euphorbia; Fabaceae; Fagus; Filipendula; Frangula alnus; Fraxinus excelsior-type; Genistoideae-type; Gentiana pneumonanthe-type; Geum-type; Gypsophila repens-type; Hedera helix; Helianthemum sp.; Hippophae rhamnoides; Hystrichosphaerideae; Juniperus-type; Knautia; Larix; Lemnaceae; Liliaceae; Lombardy, Italy; Lotus-type; Lycopodium selago; Lythrum; Melampyrum; Mentha-type; Mercurialis cf. ovata; Myriophyllum; Myriophyllum spicatum; Nymphaea; Onobrychis; Ostrya-type; Parnassia palustris; Picea; Pinus, stomata; Pinus cembra-type; Pinus sylvestris-type; Pistacia; Plantago coronopus-type; Plantago lanceolata-type; Plantago major/media-type; Plantago maritima-type; Plantago sp.; Pleurospermum; Poaceae; Pollen indeterminata; Pollen zone; Polygonum alpinum; Polygonum bistorta-type; Polygonum persicaria; Polypodiaceae; Polypodium vulgare; Potamogeton natans-type; Potentilla-type; Pteridium; Quercus ilex-type; Quercus robur-pubescens-type; Ranunculus acris-type; Rhamnus-type; Rhinanthus-type; Rosaceae; Rubiaceae; Rumex; Salix; Saltarino_sotto; Sanguisorba; Sanguisorba minor; Sanguisorba officinalis; Saxifraga aizoides-type; Scabiosa; Scrophulariaceae; Secale; Sedum; Selaginella helvetica; Sparganium-type; Succisa-type; Thalictrum; Tilia; Typha latifolia-type; Ulmus; Urticaceae; Utricularia; Valeriana officinalis-type; Valeriana sp.; Varia; Viburnum opulus-type; Viola odorata-type; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 5875 data points
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  • 9
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    Unknown
    PANGAEA
    Publication Date: 2023-11-01
    Keywords: Abies; Acer; Aconitum-type; Allium vineale-type; Alnus glutinosa-type; Alnus viridis-type; Anthericum; Apiaceae; Artemisia; Aruncus-type; Asphodelus; Athyrium filix-femina; Betula; Boraginaceae; Botrychium; Brassicaceae; Bupleurum; Buxus; Caltha-type; Campanula; Cannabis-Humulus-type; Carpinus betulus; Caryophyllaceae; Centaurea scabiosa-type; Cerinthe-type; cf. Sambucus; Chenopodiaceae; Circaea; Compositae; Cornus sanguinea; Corylus; Counting, palynology; Cyperaceae; DACH; Dachnowski corer; DEPTH, sediment/rock; Dictamnus albus; Dryopteris austriaca; Dryopteris dilatata; Dryopteris filix-mas; Dryopteris thelypteris; Echium; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Ericaceae; Euphorbia; Fabaceae; Fagus; Fiavè; Filipendula; Frangula alnus; Fraxinus excelsior-type; Fraxinus ornus; Genistoideae-type; Gentiana pneumonanthe-type; Geranium; Geum-type; Hedera helix; Helianthemum sp.; Hippophae rhamnoides; Hystrichosphaerideae; Juniperus-type; Knautia; Lamiaceae; Larix; Lemnaceae; Liliaceae; Linum; Lonicera xylosteum-type; Lycopodium selago; Melampyrum; Mentha-type; Menyanthes trifoliata; Mercurialis cf. ovata; Myriophyllum; Nuphar; Nymphaea; Onobrychis; Ostrya-type; Parnassia palustris; Phillyrea; Picea; Pinus, stomata; Pinus cembra-type; Pinus sylvestris-type; Pistacia; Plantago coronopus-type; Plantago lanceolata-type; Plantago major/media-type; Plantago maritima-type; Plantago sp.; Pleurospermum; Poaceae; Pollen indeterminata; Pollen zone; Polygonum alpinum; Polypodiaceae; Polypodium vulgare; Potamogeton natans-type; Potentilla-type; Prunus-type; Pteridium; Quercus ilex-type; Quercus robur-pubescens-type; Ranunculaceae; Ranunculus acris-type; Rhamnus-type; Rosaceae; Rubiaceae; Rumex; Salix; Sambucus nigra-type; Sanguisorba minor; Sanguisorba officinalis; Saxifraga aizoides-type; Scrophulariaceae; Secale-type; Sedum; Selaginella helvetica; Selaginella selaginoides; Solanum dulcamara; Sparganium-type; Spergularia-type; Sphagnum; Swertia perennis; Tamus communis; Taxus; Thalictrum; Tilia; Trentino-Alto Adige, Italy; Trollius; Typha latifolia-type; Ulmus; Urticaceae; Valeriana officinalis-type; Varia; Viburnum opulus-type; Viola odorata-type; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 11340 data points
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  • 10
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    Unknown
    PANGAEA
    Publication Date: 2023-11-01
    Keywords: Abies; Acer; Aconitum-type; Agrimonia-type; Allium vineale-type; Alnus glutinosa-type; Alnus viridis-type; Anemone-type; Anthericum; Apiaceae; Armeria; Artemisia; Aruncus-type; Athyrium filix-femina; Betula; Bondone; Botrychium; Brassicaceae; Bupleurum; Calluna; Caltha-type; Campanula; Cannabis-Humulus-type; Carpinus; Caryophyllaceae; Castanea; Centaurea jacea-type; Centaurea montana-type; Centaurea scabiosa-type; Cerealia-type; Cerinthe-type; cf. Olea; cf. Sambucus; Chenopodiaceae; Compositae; Corylus; Counting, palynology; Cyperaceae; Cystopteris fragilis; DACH; Dachnowski corer; Daphne; DEPTH, sediment/rock; Dictamnus albus; Dryopteris filix-mas; Dryopteris thelypteris; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Ericaceae; Euphorbia; Fabaceae; Fagus; Filipendula; Fraxinus excelsior-type; Fraxinus ornus; Genistoideae-type; Gentiana pneumonanthe-type; Geranium; Geum-type; Gypsophila repens-type; Hedera helix; Helianthemum sp.; Hippophae rhamnoides; Hystrichosphaerideae; Juglans; Juniperus-type; Knautia; Lamiaceae; Larix; Liliaceae; Lilium; Linum; Lotus-type; Lychnis-type; Lycopodium selago; Lysimachia; Melampyrum; Menyanthes trifoliata; Mercurialis cf. ovata; Myriophyllum spicatum; Onobrychis; Ononis-type; Onosma; Ophioglossum; Ostrya-type; Oxyria-type; Parnassia palustris; Pediastrum; Phillyrea; Picea; Pinus cembra-type; Pinus sylvestris-type; Pistacia; Plantago coronopus-type; Plantago lanceolata-type; Plantago major/media-type; Plantago maritima-type; Plantago sp.; Pleurospermum; Poaceae; Pollen indeterminata; Pollen zone; Polygonum alpinum; Polygonum bistorta-type; Polypodiaceae; Polypodium vulgare; Potamogeton natans-type; Potamogeton pectinatus-type; Potentilla-type; Prunus-type; Pteridium; Pulmonaria-type; Quercus ilex-type; Quercus robur-pubescens-type; Ranunculus acris-type; Rhamnus-type; Rhinanthus-type; Rosaceae; Rubiaceae; Rumex; Salix; Sanguisorba minor; Sanguisorba officinalis; Saxifraga aizoides-type; Scabiosa; Scrophulariaceae; Secale; Sedum; Selaginella helvetica; Selaginella selaginoides; Sparganium-type; Sphagnum; Thalictrum; Tilia; Trentino-Alto Adige, Italy; Trifolium-type; Trollius; Typha latifolia-type; Ulmus; Urticaceae; Utricularia; Valeriana dioica-type; Valeriana montana-type; Valeriana officinalis-type; Valeriana sp.; Varia; Viburnum opulus-type; Viburnum sp.; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 11020 data points
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