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  • Blackwell Publishing Ltd  (29,933)
  • PANGAEA
  • 2020-2023  (10)
  • 1980-1984  (21,094)
  • 1965-1969  (9,584)
  • 1925-1929
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  • 1
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-08-18
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 2
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2015-11-27
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 3
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2015-12-14
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 4
    Publication Date: 2018-04-03
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 5
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    PANGAEA
    In:  EPIC3Kwartalnik geologiczny Wydawn, Geologiczne Warszawa, Bremerhaven, PANGAEA, 10(2), pp. 453-461
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 6
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-02-20
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 7
    Publication Date: 2015-10-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 8
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2015-02-18
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 9
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    PANGAEA
    In:  EPIC3Reports Sonderforschungsbereich 95, Universität Kiel., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 10
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    PANGAEA
    In:  EPIC3Revue de Paléobiologie 2(2), Bremerhaven, PANGAEA, pp. 163-180
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 11
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    PANGAEA
    In:  EPIC3Berichte aus dem Institut für Meereskunde an der Christian-Albrechts-Universität Kiel, Bremerhaven, PANGAEA, 134, 64 p.
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 12
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    PANGAEA
    In:  EPIC3In: The nature of bogs and methods of their investigations, The Academy of Sciences of the USSR, All-Union Botanical Society, 291 pp, Nauka, Moscow., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 13
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    PANGAEA
    In:  EPIC3BERICHTE aus dem INSTITUT FOR MEERESKUNDE an der CHRISTIAN-ALBRECHTS-UNIVERSITAT· KIEL, Bremerhaven, PANGAEA, 110, 157 p.
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 14
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 15
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    PANGAEA
    In:  EPIC3Berichte des Naturwissenschaftlich-medizinischen Vereins in Innsbruck, Bremerhaven, PANGAEA, 71, pp. 19-56
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 16
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 17
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    PANGAEA
    In:  EPIC3Berichte aus dem Institut für Meereskunde an der Christian-Albrechts-Universität Kiel, Bremerhaven, PANGAEA, 80, 118 p.
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 18
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    PANGAEA
    In:  EPIC3Berichte aus dem Institut für Meereskunde an der Christian-Albrechts-Dniversität Kiel. 76, Bremerhaven, PANGAEA, 150 p.
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 19
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 20
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 21
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    PANGAEA
    In:  EPIC3manuscript for teaching students., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 22
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2014-08-06
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 23
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2018-08-10
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 24
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2015-10-31
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 25
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    PANGAEA
    In:  EPIC3Woods Hole, PANGAEA
    Publication Date: 2015-10-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 26
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-06-13
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 27
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-06-23
    Repository Name: EPIC Alfred Wegener Institut
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  • 28
    Publication Date: 2022-04-01
    Description: We present a workflow to estimate geostatistical aquifer parameters from pumping test data using the Python package welltestpy. The procedure of pumping test analysis is exemplified for two data sets from the Horkheimer Insel site and from the Lauswiesen site, Germany. The analysis is based on a semi‐analytical drawdown solution from the upscaling approach Radial Coarse Graining, which enables to infer log‐transmissivity variance and horizontal correlation length, beside mean transmissivity, and storativity, from pumping test data. We estimate these parameters of aquifer heterogeneity from type‐curve analysis and determine their sensitivity. This procedure, implemented in welltestpy, is a template for analyzing any pumping test. It goes beyond the possibilities of standard methods, for example, based on Theis' equation, which are limited to mean transmissivity and storativity. A sensitivity study showed the impact of observation well positions on the parameter estimation quality. The insights of this study help to optimize future test setups for geostatistical aquifer analysis and provides guidance for investigating pumping tests with regard to aquifer statistics using the open‐source software package welltestpy.
    Description: Article impact statement: We present a workflow to infer parameters of subsurface heterogeneity from pumping test data exemplified at two sites using welltestpy.
    Description: German Federal Environmental Foundation (DBU) http://dx.doi.org/10.13039/100007636
    Keywords: ddc:551.49
    Language: English
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  • 29
    Publication Date: 2022-04-01
    Description: In designed experiments, different sources of variability and an adequate scale of measurement need to be considered, but not all approaches in common usage are equally valid. In order to elucidate the importance of sources of variability and choice of scale, we conducted an experiment where the effects of biochar and slurry applications on soil properties related to soil fertility were studied for different designs: (a) for a field‐scale sampling design with either a model soil (without natural variability) as an internal control or with composited soils, (b) for a design with a focus on amendment variabilities, and (c) for three individual field‐scale designs with true field replication and a combined analysis representative of the population of loess‐derived soils. Three silty loam sites in Germany were sampled and the soil macroaggregates were crushed. For each design, six treatments (0, 0.15 and 0.30 g slurry‐N kg−1 with and without 30 g biochar kg−1) were applied before incubating the units under constant soil moisture conditions for 78 days. CO2 fluxes were monitored and soils were analysed for macroaggregate yields and associated organic carbon (C). Mixed‐effects models were used to describe the effects. For all soil properties, results for the loess sites differed with respect to significant contributions of fixed effects for at least one site, suggesting the need for a general inclusion of different sites. Analysis using a multilevel model allowed generalizations for loess soils to be made and showed that site:slurry:biochar and site:slurry interactions were not negligible for macroaggregate yields. The use of a model soil as an internal control enabled observation of variabilities other than those related to soils or amendments. Experiments incorporating natural variability in soils or amendments resulted in partially different outcomes, indicating the need to include all important sources of variability. Highlights Effects of biochar and slurry applications were studied for different designs and mixed‐effects models were used to describe the effects. Including an internal control allowed observation of, e.g., methodological and analytical variabilities. The results suggested the need for a general inclusion of different sites. Analysis using a multilevel model allowed generalizations for loess soils. The results indicated the need to include all important sources of variability.
    Keywords: ddc:631.4
    Language: English
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  • 30
    Publication Date: 2022-04-01
    Description: Temperate forest soils are often considered as an important sink for atmospheric carbon (C), thereby buffering anthropogenic CO2 emissions. However, the effect of tree species composition on the magnitude of this sink is unclear. We resampled a tree species common garden experiment (six sites) a decade after initial sampling to evaluate whether forest floor (FF) and topsoil organic carbon (Corg) and total nitrogen (Nt) stocks changed in dependence of tree species (Norway spruce—Picea abies L., European beech—Fagus sylvatica L., pedunculate oak—Quercus robur L., sycamore maple—Acer pseudoplatanus L., European ash—Fraxinus excelsior L. and small‐leaved lime—Tilia cordata L.). Two groups of species were identified in terms of Corg and Nt distribution: (1) Spruce with high Corg and Nt stocks in the FF developed as a mor humus layer which tended to have smaller Corg and Nt stocks and a wider Corg:Nt ratio in the mineral topsoil, and (2) the broadleaved species, of which ash and maple distinguished most clearly from spruce by very low Corg and Nt stocks in the FF developed as mull humus layer, had greater Corg and Nt stocks, and narrow Corg:Nt ratios in the mineral topsoil. Over 11 years, FF Corg and Nt stocks increased most under spruce, while small decreases in bulk mineral soil (esp. in 0–15 cm and 0–30 cm depth) Corg and Nt stocks dominated irrespective of species. Observed decadal changes were associated with site‐related and tree species‐mediated soil properties in a way that hinted towards short‐term accumulation and mineralisation dynamics of easily available organic substances. We found no indication for Corg stabilisation. However, results indicated increasing Nt stabilisation with increasing biomass of burrowing earthworms, which were highest under ash, lime and maple and lowest under spruce. Highlights We studied if tree species differences in topsoil Corg and Nt stocks substantiate after a decade. The study is unique in its repeated soil sampling in a multisite common garden experiment. Forest floors increased under spruce, but topsoil stocks decreased irrespective of species. Changes were of short‐term nature. Nitrogen was most stable under arbuscular mycorrhizal species.
    Description: Deutsche Forschungsgemeinschaff (DFG)
    Keywords: ddc:551.9 ; ddc:631.41
    Language: English
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  • 31
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    PANGAEA
    In:  EPIC3Flora:, Bremerhaven, PANGAEA, 158, pp. 480-519
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 32
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    PANGAEA
    In:  EPIC3"Meteor" Forschungs-Ergebnisse, C, Bremerhaven, PANGAEA, 35, pp. 23-59
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 33
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2015-05-07
    Repository Name: EPIC Alfred Wegener Institut
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  • 34
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 35
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 36
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    PANGAEA
    In:  EPIC3Rapports et Procès-Verbaux des Réunions, Bremerhaven, PANGAEA, 157, 274 p.
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 37
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 38
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 39
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    PANGAEA
    In:  EPIC3Offa, Berichte und Mitteilungen zur Urgeschichte, Frühgeschichte und Mittelalterarchäologie, Bremerhaven, PANGAEA, 38, pp. 365-376
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 40
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 41
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 42
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 43
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 44
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 45
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 46
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    PANGAEA
    In:  EPIC3Fachbereiche Geowissenschaften, University Bremen., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 47
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 48
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 49
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 50
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 51
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 52
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 53
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 54
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    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 55
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    PANGAEA
    In:  EPIC3Spektrum der Wissenschaft, Bremerhaven, PANGAEA, 2, pp. 10-20
    Publication Date: 2019-07-17
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  • 56
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    PANGAEA
    In:  EPIC3Abhandlungen des Naturwissenschaftlichen Vereins zu Bremen, Bremerhaven, PANGAEA, 39, pp. 185-261
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 57
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    PANGAEA
    In:  EPIC3Revue de Paléobiologie, Bremerhaven, PANGAEA, 2(2), pp. 221-227
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 58
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    In:  EPIC3Berichte der Deutschen Botanischen Gesellschaft, Bremerhaven, PANGAEA, 44, pp. 239-248
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 59
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    In:  EPIC3Australian Meteorological Magazine, Bremerhaven, PANGAEA, 31(3), pp. 179-184
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 60
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    In:  EPIC3Antarctic Map Folio Series, American Geographical Society, Bremerhaven, PANGAEA, pp. 9-12
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 61
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    In:  EPIC3Kwartalnik geologiczny Wydawn, Geologiczne Warszawa, Bremerhaven, PANGAEA, 10(2), pp. 442-452
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 62
    Publication Date: 2022-09-27
    Description: Little research attention has been given to validating clusters obtained from the groundwater geochemistry of the waterworks' capture zone with a prevailing lake‐groundwater exchange. To address this knowledge gap, we proposed a new scheme whereby Gaussian finite mixture modeling (GFMM) and Spike‐and‐Slab Bayesian (SSB) algorithms were utilized to cluster the groundwater geochemistry while quantifying the probability of the resulting cluster membership against each other. We applied GFMM and SSB to 13 geochemical parameters collected during different sampling periods at 13 observation points across the Barnim Highlands plateau located in the northeast of Berlin, Germany; this included 10 observation wells, two lakes, and a gallery of drinking production wells. The cluster analysis of GFMM yielded nine clusters, either with a probability ≥0.8, while the SSB produced three hierarchical clusters with a probability of cluster membership varying from 〈0.2 to 〉0.8. The findings demonstrated that the clustering results of GFMM were in good agreement with the classification as per the principal component analysis and Piper diagram. By superimposing the parameter clustering onto the observation clustering, we could identify discrepancies that exist among the parameters of a certain cluster. This enables the identification of different factors that may control the geochemistry of a certain cluster, although parameters of that cluster share a strong similarity. The GFMM results have shown that from 2002, there has been active groundwater inflow from the lakes towards the capture zone. This means that it is necessary to adopt appropriate measures to reverse the inflow towards the lakes.
    Description: Article impact statement: The probability of cluster membership quantified using an algorithm should be validated against another probabilistic‐based classifier.
    Description: Federal Ministry of Education and Research http://dx.doi.org/10.13039/501100002347
    Keywords: ddc:551.9 ; ddc:551.49
    Language: English
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  • 63
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    In:  EPIC3INTERACT Webinar on Data Repositories, Online, 2022-05-12Bremerhaven, PANGAEA
    Publication Date: 2022-10-04
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 64
    Publication Date: 2022-10-01
    Description: Copper (Cu) is an essential element for plants and microorganisms and at larger concentrations a toxic pollutant. A number of factors controlling Cu dynamics have been reported, but information on quantitative relationships is scarce. We aimed to (i) quantitatively describe and predict soil Cu concentrations (CuAR) in aqua regia considering site‐specific effects and effects of pH, soil organic carbon (SOC) and cation exchange capacity (CEC), and (ii) study the suitability of mixed‐effects modelling and rule‐based models for the analysis of long‐term soil monitoring data. Thirteen uncontaminated long‐term monitoring soil profiles in southern Germany were analysed. Since there was no measurable trend of increasing CuAR concentrations with time in the respective depth ranges of the sites, data from different sampling dates were combined and horizon‐specific regression analyses including model simplifications were carried out for 10 horizons. Fixed‐ and mixed‐effects models with the site as a random effect were useful for the different horizons and significant contributions (either of main effects or interactions) of SOC, CEC and pH were present for 9, 8 and 7 horizons, respectively. Horizon‐specific rule‐based cubist models described the CuAR data similarly well. Validations of cubist models and mixed‐effects models for the CuAR concentrations in A horizons were successful for the given population after random splitting into calibration and validation samples, but not after independent validations with random splitting according to sites. Overall, site, CEC, SOC and pH provide important information for a description of CuAR concentrations using the different regression approaches. Highlights: Information on quantitative relationships for factors controlling Cu dynamics is scarce. Site, CEC, SOC and pH provide important information for a description of Cu concentrations. Validations of cubist models and mixed‐effects models for A horizons were successful for a closed population of sites.
    Description: Bavarian State Ministry of the Environment and Consumer Protection http://dx.doi.org/10.13039/501100010219
    Description: Ministry of Agriculture and Environment Mecklenburg‐Western Pomerania
    Keywords: ddc:631.4
    Language: English
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  • 65
    Publication Date: 2022-09-30
    Description: In recent years, German cities were heavily impacted by pluvial flooding and related damage is projected to increase due to climate change and urbanisation. It is important to ask how to improve urban pluvial flood risk management. To understand the current state of property level adaptation, a survey was conducted in four municipalities that had recently been impacted by pluvial flooding. A hybrid framework based on the Protection Motivation Theory (PMT) and the Protection Action Decision Model (PADM) was used to investigate drivers of adaptive behaviour through both descriptive and regression analyses. Descriptive statistics revealed that participants tended to instal more low‐ and medium‐cost measures than high‐cost measures. Regression analyses showed that coping appraisal increased protection motivation, but that the adaptive behaviour also depends on framing factors, particularly homeownership. We further found that, while threat appraisal solely affects protection motivation and responsibility appraisal affects solely maladaptive thinking, coping appraisal affects both. Our results indicate that PMT is a solid starting point to study adaptive behaviours in the context of pluvial flooding, but we need to go beyond that by, for instance, considering factors of the PADM, such as responsibility, ownership, or respondent age, to fully understand this complex decision‐making process.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Keywords: ddc:551.489 ; ddc:363.34
    Language: English
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  • 66
    Publication Date: 2022-10-04
    Description: Soil aeration is a critical factor for oxygen‐limited subsoil processes, as transport by diffusion and advection is restricted by the long distance to the free atmosphere. Oxygen transport into the soil matrix is highly dependent on its connectivity to larger pore channels like earthworm and root colonised biopores. Here we hypothesize that the soil matrix around biopores represents different connectivity depending on biopore genesis and actual coloniser. We analysed the soil pore system of undisturbed soil core samples around biopores generated or colonised by roots and earthworms and compared them with the pore system of soil, not in the immediacy of a biopore. Oxygen partial pressure profiles and gas relative diffusion was measured in the rhizosphere and drilosphere from the biopore wall into the bulk soil with microelectrodes. The measurements were linked with structural features such as porosity and connectivity obtained from X‐ray tomography and image analysis. Aeration was enhanced in the soil matrix surrounding biopores in comparison to the bulk soil, shown by higher oxygen concentrations and higher relative diffusion coefficients. Biopores colonised by roots presented more connected lateral pores than earthworm colonised ones, which resulted in enhanced aeration of the rhizosphere compared to the drilosphere. This has influenced biotic processes (microbial turnover/mineralization or root respiration) at biopore interfaces and highlights the importance of microstructural features for soil processes and their dependency on the biopore's coloniser.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: ddc:631.4
    Language: English
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  • 67
    Publication Date: 2022-07-26
    Description: Application of farmyard manure (FYM) is common practice to improve physical and chemical properties of arable soil and crop yields. However, studies on effects of FYM application mainly focussed on topsoils, whereas subsoils have rarely been addressed so far. We, therefore, investigated the effects of 36‐year FYM application with different rates of annual organic carbon (OC) addition (0, 469, 938 and 1875 g C m−2 a−1) on OC contents of a Chernozem in 0–30 cm (topsoil) and 35–45 cm (subsoil) depth. We also investigated its effects on soil structure and hydraulic properties in subsoil. X‐ray computed tomography was used to analyse the response of the subsoil macropore system (≥19 μm) and the distribution of particulate organic matter (POM) to different FYM applications, which were related to contents in total OC (TOC) and water‐extractable OC (WEOC). We show that FYM‐C application of 469 g C m−2 a−1 caused increases in TOC and WEOC contents only in the topsoil, whereas rates of ≥938 g C m−2 a−1 were necessary for TOC enrichment also in the subsoil. At this depth, the subdivision of TOC into different OC sources shows that most of the increase was due to fresh POM, likely by the stimulation of root growth and bioturbation. The increase in subsoil TOC went along with increases in macroporosity and macropore connectivity. We neither observed increases in plant‐available water capacity nor in unsaturated hydraulic conductivity. In conclusion, only very high application of FYM over long periods can increase OC content of subsoil at our study site, but this increase is largely based on fresh, easily degradable POM and likely accompanied by high C losses when considering the discrepancy between OC addition rate by FYM and TOC response in soil. Highlights A new image processing procedure to distinguish fresh and decomposed POM. The increase of subsoil C stock based to a large extend on fresh, labile POM. Potential of arable subsoils for long‐term C storage by large FYM application rates is limited. The increase in TOC has no effect on hydraulic properties of the subsoil.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: ddc:631.4
    Language: English
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  • 68
    Publication Date: 2023-07-09
    Keywords: A150/180; A180-73; CH70-K11; CH7X; Cibicidoides kullenbergi, δ13C; Cibicidoides kullenbergi, δ18O; Cibicidoides sp., δ13C; Cibicidoides sp., δ18O; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; CLIMAP; Climate: Long-Range Investigation, Mapping, and Prediction; Coccoliths, δ18O; D117; DEPTH, sediment/rock; East Atlantic; Elevation of event; ELT49; ELT49.018-PC; Eltanin; Event label; Favocassidulina favus, δ13C; Favocassidulina favus, δ18O; Foraminifera, benthic; Foraminifera, planktic indeterminata; GC; GIK12392-1; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Globigerina quinqueloba, δ13C; Globigerina quinqueloba, δ18O; Globigerinoides ruber pink, δ13C; Globigerinoides ruber pink, δ18O; Globigerinoides sacculifer, δ13C; Globigerinoides sacculifer, δ18O; Globocassidulina subglobosa, δ13C; Globocassidulina subglobosa, δ18O; Globoquadrina conglomerata, δ18O; Globorotalia inflata, δ13C; Globorotalia inflata, δ18O; Globorotalia truncatulinoides, δ13C; Globorotalia truncatulinoides, δ18O; Gravity corer; Gyroidina sp., δ13C; Gyroidina sp., δ18O; Hoeglundina elegans, δ13C; Hoeglundina elegans, δ18O; Indian Ocean; Jean Charcot; K708-001; KAL; Kasten corer; Latitude of event; Longitude of event; M12392-1; M25; Marion Dufresne (1972); MD00; MD73025-2; Melonis pompilioides, δ13C; Melonis pompilioides, δ18O; Melonis sp., δ13C; Melonis sp., δ18O; Meteor (1964); Neogloboquadrina dutertrei, δ18O; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Nonion sp., δ13C; Nonion sp., δ18O; Oridorsalis sp., δ13C; Oridorsalis sp., δ18O; Oridorsalis tener, δ13C; Oridorsalis tener, δ18O; OSIRIS I; PC; Piston corer; Pulleniatina obliquiloculata, δ18O; Pyrgo murrhina, δ13C; Pyrgo murrhina, δ18O; Pyrgo sp., δ13C; Pyrgo sp., δ18O; RC08; RC08-145; RC08-39; RC10; RC10-65; RC11; RC1112; RC11-120; RC11-210; RC11-230; RC11-86; RC12; RC12-294; RC12-339; RC13; RC13-205; RC13-228; RC13-229; RC15; RC15-61; RC17; RC17-69; RC17-98; Robert Conrad; TR126-23; TR126-29; Uvigerina sp., δ13C; Uvigerina sp., δ18O; V12; V12-122; V18; V18-68; V19; V19-29; V19-53; V21; V21-146; V22; V22-108; V22-174; V22-182; V22-196; V22-38; V23; V23-82; V25; V25-59; V27; V27-20; V27-86; V28; V28-127; V28-14; V28-238; V28-304; V28-345; V28-56; V29; V29-179; V29-29; V30; V30-97; V32; V32-126; V32-128; V34; V34-88; Vema; Y71-06; Y71-06-12; Y7211; Y7211-1; Yaquina; δ18O, adjusted/corrected
    Type: Dataset
    Format: text/tab-separated-values, 5924 data points
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  • 69
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    In:  Deutscher Wetterdienst/Seewetteramt, Offenbach/Hamburg
    Publication Date: 2023-07-10
    Keywords: Characteristic of barometric tendency; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Indicator for source and units of wind speed; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; M68A; M68A-track; Mean ships course; Mean ships speed; Meteor (1964); Middle cloud; Past weather1; Past weather2; Periode of first swell waves; Present weather; Pressure, atmospheric; Quality control indicator for (a); Quality control indicator for (clouds); Quality control indicator for (dd); Quality control indicator for (Ds); Quality control indicator for (ff); Quality control indicator for (h); Quality control indicator for (HwHw); Quality control indicator for (iR,RRR,tR); Quality control indicator for (ppp); Quality control indicator for (PPPP); Quality control indicator for (PwPw); Quality control indicator for (swell); Quality control indicator for (tbtbtb); Quality control indicator for (TdTdTd); Quality control indicator for (TTT); Quality control indicator for (TwTwTw); Quality control indicator for (Vs); Quality control indicator for (VV); Quality control indicator for (weather); Temperature, air; Temperature, air, wet bulb; Temperature, water; Total cloud amount; Underway cruise track measurements; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 699 data points
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  • 70
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    In:  Supplement to: Biolzi, Milena (1983): Stable isotopic study of Oligocene-Miocene sediments from DSDP Site 354, Equatorial Atlantic. Marine Micropaleontology, 8(2), 121-139, https://doi.org/10.1016/0377-8398(83)90008-7
    Publication Date: 2023-07-10
    Description: The oxygen- and carbon-isotope compositions of planktic and benthic foraminifera and calcareous nannofossils from Middle Oligocene-Early Miocene Equatorial Atlantic sediments (DSDP Site 354) indicate two important paleoceanographic changes, in the Late Oligocene (foraminiferal Zone P.21) and in the Early Miocene (foraminiferal Zone N.5). The first change, reflected by a delta18O increase of 1.45‰ in Globigerina venezuelana, affected only intermediate pelagic and not surface, deep or bottom waters. The second change affected surface and intermediate waters, whereas deep and bottom waters showed only minor fluctuations. In the case of the former the isotope effect of the moderate ice accumulation on the Antarctic continent is amplified in the Equatorial Atlantic by changes in the circulation pattern. The latter paleoceanographic change, reflected by a significant increase in 18O in both planktic and benthic forms (about 1.0‰ and 0.5‰, respectively), may have been caused by ice volume increase and temperature decrease. Both oxygen- and carbon-isotope compositions indicate a marked depth-habitat stratification for planktic foraminifera and calcareous nannofossils. Three different dwelling groups are recognized: shallow Globigerinoides, Globoquadrina dehiscens, Globorotalia mayeri and nannofossils; intermediate Globigerina venezuelana; and deep Catapsydrax dissimilis. The comparison of foraminifera and calcareous nannofossils suggests that the isotopic compositions of nannofossils are generally controlled by the same parameters which control the isotopic composition of shallow-dwelling foraminifera, but the former are more enriched in 18O.
    Keywords: 39-354; Catapsydrax dissimilis, δ13C; Catapsydrax dissimilis, δ18O; Cibicidoides pseudoungerianus, δ13C; Cibicidoides pseudoungerianus, δ18O; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Foraminifera, benthic δ13C; Foraminifera, benthic δ18O; Globigerina venezuelana, δ13C; Globigerina venezuelana, δ18O; Globigerinoides ruber, δ13C; Globigerinoides ruber, δ18O; Globigerinoides trilobus, δ13C; Globigerinoides trilobus, δ18O; Globocassidulina subglobosa, δ13C; Globocassidulina subglobosa, δ18O; Globoquadrina dehiscens, δ13C; Globoquadrina dehiscens, δ18O; Globoquadrina globularis, δ13C; Globoquadrina globularis, δ18O; Globorotalia kugleri, δ13C; Globorotalia kugleri, δ18O; Globorotalia mayeri, δ13C; Globorotalia mayeri, δ18O; Globorotalia opima opima, δ13C; Globorotalia opima opima, δ18O; Glomar Challenger; Leg39; North Atlantic/CONT RISE; ORDINAL NUMBER; Oridorsalis umbonatus, δ13C; Oridorsalis umbonatus, δ18O; Planktic foraminifera zone; Sample code/label; Stilostomella spp., δ13C; Stilostomella spp., δ18O; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 415 data points
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  • 71
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    PANGAEA
    In:  Deutscher Wetterdienst/Seewetteramt, Offenbach/Hamburg
    Publication Date: 2023-07-10
    Keywords: Characteristic of barometric tendency; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Indicator for source and units of wind speed; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; M60; M60-track; Mean ships course; Mean ships speed; Meteor (1964); Middle cloud; Past weather1; Past weather2; Periode of first swell waves; Present weather; Pressure, atmospheric; Quality control indicator for (a); Quality control indicator for (clouds); Quality control indicator for (dd); Quality control indicator for (Ds); Quality control indicator for (ff); Quality control indicator for (h); Quality control indicator for (HwHw); Quality control indicator for (iR,RRR,tR); Quality control indicator for (ppp); Quality control indicator for (PPPP); Quality control indicator for (PwPw); Quality control indicator for (swell); Quality control indicator for (tbtbtb); Quality control indicator for (TdTdTd); Quality control indicator for (TTT); Quality control indicator for (TwTwTw); Quality control indicator for (Vs); Quality control indicator for (VV); Quality control indicator for (weather); SUBTROPEX 82; Temperature, air; Temperature, air, wet bulb; Temperature, water; Total cloud amount; Underway cruise track measurements; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 20406 data points
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  • 72
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    PANGAEA
    In:  Deutscher Wetterdienst/Seewetteramt, Offenbach/Hamburg
    Publication Date: 2023-07-10
    Keywords: Characteristic of barometric tendency; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Indicator for source and units of wind speed; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; M68; M68-track; Mean ships course; Mean ships speed; Meteor (1964); Middle cloud; NOAMP II; Past weather1; Past weather2; Periode of first swell waves; Present weather; Pressure, atmospheric; Quality control indicator for (a); Quality control indicator for (clouds); Quality control indicator for (dd); Quality control indicator for (Ds); Quality control indicator for (ff); Quality control indicator for (h); Quality control indicator for (HwHw); Quality control indicator for (iR,RRR,tR); Quality control indicator for (ppp); Quality control indicator for (PPPP); Quality control indicator for (PwPw); Quality control indicator for (swell); Quality control indicator for (tbtbtb); Quality control indicator for (TdTdTd); Quality control indicator for (TTT); Quality control indicator for (TwTwTw); Quality control indicator for (Vs); Quality control indicator for (VV); Quality control indicator for (weather); Temperature, air; Temperature, air, wet bulb; Temperature, water; Total cloud amount; Underway cruise track measurements; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 10807 data points
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  • 73
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    In:  Supplement to: Murray, David W; Schrader, Hans-Jürgen (1982): The size distribution of the centric diatom Coscinodiscus nodulifer, Site 480, Guaymas Basin Slope, Gulf of California. In: Curray, JR; Moore, DG; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 64, 1239-1244, https://doi.org/10.2973/dsdp.proc.64.163.1982
    Publication Date: 2023-07-10
    Description: Analysis of individual laminae in Recent sediments from the slopes of the Guaymas Basin indicates an increased abundance of the larger sizes (〉60 µm) of Coscinodiscus nodulifer when upwelling conditions persist over the depositional site and an increase of the smaller sizes (〈60 µm) when nonupwelling conditions exist. The size distributions of C. nodulifer in 10-cm composite samples from Hole 480 show a greater abundance of the large sizes (〉60 µm) associated with well-laminated sections and more of the smaller sizes (〈60 µm) in samples from the homogeneous sections. We have tentatively correlated the pronounced homogeneous zones with late Pleistocene glacial periods. These results indicate a persistence of nonupwelling conditions over Hole 480 during glacial periods (homogeneous zones) and a predominance of upwelling conditions during interglacial periods (laminated zones). Other evidence from diatom and silicoflagellate floral analysis seems to support these preliminary conclusions.
    Keywords: 64-480; Coscinodiscus nodulifer; Deep Sea Drilling Project; Description; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Glomar Challenger; Leg64; North Pacific/Gulf of California/BASIN; Sample code/label; Smear slide analysis
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 74
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    In:  Supplement to: Seifert, Karl E; Vallier, Tracy L; Windom, Kenneth E; Morgan, S R (1981): Geochemistry and petrology of igneous rocks, Deep Sea Drilling Project Leg 62. In: Thiede, J; Vallier, TL; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 62, 945-953, https://doi.org/10.2973/dsdp.proc.62.149.1981
    Publication Date: 2023-07-10
    Description: Igneous rocks were recovered from three sites on Hess Rise during Deep Sea Drilling Project Leg 62: altered basalt at Site 464, at the northern end of Hess Rise; and altered trachyte from Site 465, and rounded basalt pebbles in upper Albian to middle Miocene sediments from Site 466, both at the southern end of Hess Rise. Major-, minor-, and trace-element data for basalt from Hole 464 are consistent with these rocks being transitional tholeiites that have undergone low-temperature alteration by reaction with sea water. Trachyte from Hole 465A exhibits as many as three generations of plagioclase along with potash feldspar that are flow aligned in groundmasses alterted to smectites and random mixed-layer clays. Textural evidence indicates that these rocks were eruped subaerially. Chemical data show a range of values when plotted on two- and three-component variation diagrams. The observed variations may result in part from differentiation, but they also reflect the high degree of alteration. Several oxides and elements show strong correlation with H2O+: K2O, SiO2, Rb and Lu decrease and MgO increases with increasing H2O+. These trends, except for that of Lu, are consistent with experimentally determined changes in chemistry that accompany alteration. The trend for Lu has not been previously reported; it may result from a more-intense alteration of the HREE-rich mafic minerals than of the LREE-rich feldspars. Despite their alteration, the trachytes compare favorably with alkalic differentiates from oceanic islands. We interpret Hess Rise as a volcanic platform formed by eruption of off-ridge volcanic rocks onto MORB oceanic crust during the Aptian and Albian stages, after the basement had migrated away from the spreading center. By analogy with present oceanic islands, we propose that early tholeiitic basalts were followed by alkalic basalts and their differentiation products (trachytes), producing a volcanic archipelago of islands and seamounts. Subsequent tectonism and subsidence led to the present state of Hess Rise.
    Keywords: 62-464; 62-465A; Aluminium oxide; Barium; Calcium oxide; Carbon dioxide; Cerium; Cobalt; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Europium; Event label; Glomar Challenger; Hafnium; Instrumental neutron activation analysis (INAA); Iron oxide, Fe2O3; Iron oxide, FeO; Lanthanum; Leg62; Lutetium; Magnesium oxide; Manganese oxide; North Pacific/CONT RISE; Phosphorus pentoxide; Potassium oxide; Rubidium; Samarium; Sample code/label; Sample ID; Scandium; Silicon dioxide; Sodium oxide; Strontium; Tantalum; Terbium; Thorium; Titanium dioxide; Total; Water in rock; X-ray fluorescence (XRF); Ytterbium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 702 data points
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  • 75
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    In:  Supplement to: Tjalsma, R C (1983): Eocene to Miocene benthic foraminifers from DSDP Site 516, Rio Grande Rise, South Atlantic. In: Barker, PF; Carlson, RL; Johnson, DA; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 72, 731-755, https://doi.org/10.2973/dsdp.proc.72.133.1983
    Publication Date: 2023-07-10
    Description: DSDP Site 516 contains a complete middle Eocene to lower Miocene interval with a well-developed Oligocene sequence that is more than 300 m thick. In this paper, the most important and characteristic benthic foraminiferal species from this interval are described and illustrated, and their quantitative and biostratigraphic distribution is given. Middle Eocene benthic assemblages, derived from pelagic intercalations in a partly turbiditic sequence, are low in diversity. Benthic assemblages of fairly high diversity occur in limestones, chalks, and oozes of the upper Eocene to lower Miocene. The consistently high rate of new species appearances at Site 516 during late Eocene and Oligocene contrasted greatly with the very slow rate of change in abyssal faunas at that time; there were no significant faunal changes at the Eocene/Oligocene boundary. The assemblages are dominated by Cibicidoides (mostly C. ungerianus or C. kullenbergi) and Lenticulina. Buliminids were also important during the Eocene and early Oligocene. Faunal comparison with other Atlantic DSDP sites and drill holes in the Gulf of Mexico suggest an approximately mid-bathyal (500-1500 m) depth of deposition during late Eocene and Oligocene.
    Keywords: 72-516; 72-516F; Alabamina wilcoxensis; Anomalina capita; Anomalina corrugata; Anomalina pseudogrosserugosa; Anomalina semipunctata; Anomalina spissiformis; Anomalinoides cf. alazaensis; Astrononion pusillum; Bolivina tectiformis; Bulimina alazanensis; Bulimina impendens; Bulimina macilenta; Bulimina tuxpamensis; Buliminella grata; Cassidulina havanensis; Cibicidoides cicatricosus; Cibicidoides dickersonii; Cibicidoides haitensis; Cibicidoides laurisae; Cibicidoides mexicanus; Cibicidoides perlucidus; Cibicidoides reussii; Cibicidoides sp.; Cibicidoides tuxpamensis; Cibicidoides ungerianus; Counting 〉149 µm fraction; Deep Sea Drilling Project; Discorbis subvilardeboanus; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eggerella bradyi; Event label; Foraminifera, benthic; Gavelinella micra; Globocassidulina subglobosa; Glomar Challenger; Gyroidinoides spp.; Hanzawaia cushmani; Karreriella subglabra; Leg72; Lenticulina spp.; Martinottiella scabra; Nonion havanense; Nuttallides truempyi; Nuttallides umbonifera; Oridorsalis umbonatus; Osangularia culter; Osangularia mexicana; Planktic foraminifera zone; Planulina karsteni; Planulina renzi; Plectina elongata; Pleurostomella spp.; Pullenia bulloides; Pullenia eocenica; Pullenia quinqueloba; Rectuvigerina vesca; Reussella oligocenica; Rotaliatina mexicana; Sample code/label; Siphonina tenuicarinata; South Atlantic/CONT RISE; Sphaeroidina bulloides; Stilostomella aculeata; Stilostomella curvatura; Textularia flintii; Textularia milletti; Trifarina bradyi; Trifarina danvillensis; Turrilina robertsi; Uvigerina auberiana; Uvigerina elongata; Uvigerina havanensis; Uvigerina mexicana; Uvigerina rippensis; Uvigerina spinulosa; Vulvulina spp.
    Type: Dataset
    Format: text/tab-separated-values, 2414 data points
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  • 76
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    PANGAEA
    In:  Deutscher Wetterdienst/Seewetteramt, Offenbach/Hamburg
    Publication Date: 2023-07-10
    Keywords: Characteristic of barometric tendency; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Indicator for source and units of wind speed; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; M63; M63-track; Mean ships course; Mean ships speed; Meteor (1964); Middle cloud; Past weather1; Past weather2; Periode of first swell waves; Present weather; Pressure, atmospheric; Quality control indicator for (a); Quality control indicator for (clouds); Quality control indicator for (dd); Quality control indicator for (Ds); Quality control indicator for (ff); Quality control indicator for (h); Quality control indicator for (HwHw); Quality control indicator for (iR,RRR,tR); Quality control indicator for (ppp); Quality control indicator for (PPPP); Quality control indicator for (PwPw); Quality control indicator for (swell); Quality control indicator for (tbtbtb); Quality control indicator for (TdTdTd); Quality control indicator for (TTT); Quality control indicator for (TwTwTw); Quality control indicator for (Vs); Quality control indicator for (VV); Quality control indicator for (weather); Temperature, air; Temperature, air, wet bulb; Temperature, water; Total cloud amount; Underway cruise track measurements; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 6595 data points
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  • 77
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    Unknown
    PANGAEA
    In:  Deutscher Wetterdienst/Seewetteramt, Offenbach/Hamburg
    Publication Date: 2023-07-10
    Keywords: Characteristic of barometric tendency; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Indicator for source and units of wind speed; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; M66; M66-track; Mean ships course; Mean ships speed; Meteor (1964); Middle cloud; Past weather1; Past weather2; Periode of first swell waves; Present weather; Pressure, atmospheric; Quality control indicator for (a); Quality control indicator for (clouds); Quality control indicator for (dd); Quality control indicator for (Ds); Quality control indicator for (ff); Quality control indicator for (h); Quality control indicator for (HwHw); Quality control indicator for (iR,RRR,tR); Quality control indicator for (ppp); Quality control indicator for (PPPP); Quality control indicator for (PwPw); Quality control indicator for (swell); Quality control indicator for (tbtbtb); Quality control indicator for (TdTdTd); Quality control indicator for (TTT); Quality control indicator for (TwTwTw); Quality control indicator for (Vs); Quality control indicator for (VV); Quality control indicator for (weather); Temperature, air; Temperature, air, wet bulb; Temperature, water; Total cloud amount; Underway cruise track measurements; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 4958 data points
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  • 78
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    Unknown
    PANGAEA
    In:  Deutscher Wetterdienst/Seewetteramt, Offenbach/Hamburg
    Publication Date: 2023-07-10
    Keywords: Characteristic of barometric tendency; Cloud base height; CT; DATE/TIME; Dew/frost point; Direction of first swell waves; Height of first swell waves; Height of waves; High cloud; Horizontal visibility; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Indicator for source and units of wind speed; LATITUDE; LONGITUDE; Low/middle cloud amount; Low cloud; M69; M69-track; Mean ships course; Mean ships speed; Meteor (1964); Middle cloud; NOAMP III; Past weather1; Past weather2; Periode of first swell waves; Present weather; Pressure, atmospheric; Quality control indicator for (a); Quality control indicator for (clouds); Quality control indicator for (dd); Quality control indicator for (Ds); Quality control indicator for (ff); Quality control indicator for (h); Quality control indicator for (HwHw); Quality control indicator for (iR,RRR,tR); Quality control indicator for (ppp); Quality control indicator for (PPPP); Quality control indicator for (PwPw); Quality control indicator for (swell); Quality control indicator for (tbtbtb); Quality control indicator for (TdTdTd); Quality control indicator for (TTT); Quality control indicator for (TwTwTw); Quality control indicator for (Vs); Quality control indicator for (VV); Quality control indicator for (weather); Temperature, air; Temperature, air, wet bulb; Temperature, water; Total cloud amount; Underway cruise track measurements; Wave period; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 104315 data points
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  • 79
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    PANGAEA
    In:  Supplement to: Seifert, Karl E (1981): Geochemistry of Nauru Basin basalts from the lower portion of Hole 462A, Deep Sea Drilling Project Leg 61. In: Larson, RL; Schlanger, SO; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 61, 705-708, https://doi.org/10.2973/dsdp.proc.61.129.1981
    Publication Date: 2023-07-10
    Description: Atomic-absorption spectrophotometry and instrumental neutron activation analysis were used to determine concentrations of SiO2, Al2O3, FeOt, MgO, CaO, Na2O, K2O, MnO, La, Ce, Sm, Eu, Tb, Yb, Lu, Sc, Co, Cr, Th, Hf, and Ta for 14 basalt samples from the lower portion of Hole 462A in the Nauru Basin. The basalts are similar to normal midocean ridge basalt (MORB) for the elements analyzed, and light rare-earth elements (LREE) are depleted relative to heavy rare-earth elements (HREE). Two samples are extensively altered to smectites and show significant reductions in Al2O3, CaO, MnO, Na2O, REE, Sc, Co, and Hf and gains in MgO and FeOt relative to unaltered samples. The increase in MgO and decrease in CaO indicate that alteration was caused by hydrothermal solutions.
    Keywords: 61-462A; Aluminium oxide; Atomic absorption spectrometry (AAS); Calcium oxide; Cerium; Chromium; Cobalt; Deep Sea Drilling Project; Description; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Europium; Glomar Challenger; Hafnium; Instrumental neutron activation analysis (INAA); Iron oxide, FeO; Lanthanum; Leg61; Lutetium; Magnesium oxide; Manganese oxide; Potassium oxide; Samarium; Sample code/label; Scandium; Silicon dioxide; Sodium oxide; Tantalum; Terbium; Thorium; Ytterbium
    Type: Dataset
    Format: text/tab-separated-values, 317 data points
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  • 80
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    PANGAEA
    In:  Supplement to: Dailey, Donald H (1983): Late Cretaceous and Paleocene benthic foraminifers from Deep Sea Drilling Project Site 516, Rio Grande Rise, western South Atlantic Ocean. In: Barker, PF; Carlson, RL; Johnson, DA; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 72, 757-782, https://doi.org/10.2973/dsdp.proc.72.134.1983
    Publication Date: 2023-07-10
    Description: Benthic foraminifers of the Coniacian-Santonian through the Paleocene were recovered from a continuous pelagic carbonate section from Hole 516F on the Rio Grande Rise. Sixty-five genera and 153 species have been identified, most of which have been reported from other localities. Bathyal depths are reflected in the benthic assemblages dominated by gavelinellids (Gavelinella beccariiformis, G. velascoensis), Nuttallides truempyi, and various gyroidinids and buliminids. Rapid subsidence during the Coniacian-Santonian from nearshore to upper to middle bathyal depths was followed by much reduced subsidence, with the Campanian-Paleocene interval accumulating at middle bathyal to lower bathyal depths. A census study based on detailed sampling reveals major changes in benthic faunal composition at the Cretaceous/Tertiary boundary transition. It was a time of rapid turnover, with the extinctions of numerous species and the introduction of many new species. Overall, species diversity decreases about 20%, and approximately one-third of latest Maestrichtian species do not survive to the end of the Cretaceous. This shift indicates a significant environmental change in the deep sea, the precise nature of which is not apparent from the foraminifers or their enclosing sediments.
    Keywords: 72-516F; Alabamina creta; Allomorphina cretacea; Allomorphina minuta; Allomorphina trochoides; Ammodiscus cretaceus; Anomalinoides welleri; Aragonia semireticulata; Aragonia velascoensis; Astacolus crepidulus; Astacolus gibber; Astacolus jarvisi; Astacolus richteri; Bandyella beckmanni; Bandyella greatvalleyensis; Bathysiphon sp.; Bolivinoides delicatulus; Bolivinoides draco draco; Bolivinoides draco miliaris; Bolivinoides granulatus; Bolivinoides strigillatus; Bulimina midwayensis; Bulimina trinitatensis; Bulimina tuxpamensis; Bulimina velascoensis; Buliminella beaumonti; Ceratobulimina perplexa; Cibicides excavata; Cibicidoides dayi; Cibicidoides pseudoperlucidus; Coryphostoma incrassata; Coryphostoma limonense; Counting 〉150 µm fraction; Deep Sea Drilling Project; Dentalina alternata; Dentalina basiplanata; Dentalina catenula; Dentalina gracilis; Dentalina legumen; Dentalina spp.; Dorothia beloides; Dorothia bulletta; Dorothia cubensis; Dorothia oxycona; Dorothia pupa; Dorothia retusa; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Ellipsoglandulina exponens; Ellipsoidella robusta; Ellipsopolymorphina velascoensis; Eouvigerina americana; Eouvigerina excavata; Fissurina alata; Fissurina oblonga; Fissurina orbignyana; Foraminifera, benthic; Foraminifera, benthic, number of species; Frondicularia jarvisi; Gaudryina aisanna; Gaudryina laevigata; Gaudryina pyramidata; Gavelinella beccariiformis; Gavelinella costata; Gavelinella danica; Gavelinella eriksdalensis; Gavelinella hyphalus; Gavelinella monterelensis; Gavelinella nacatochensis; Gavelinella sp.; Gavelinella stephensoni; Gavelinella velascoensis; Globorotalites conicus; Globorotalites multiseptus; Globulina lacrima; Globulina subsphaerica; Glomar Challenger; Glomospira corona; Glomospira gordialis; Guttulina caudata; Guttulina communis; Gyroidinoides beisseli; Gyroidinoides depressus; Gyroidinoides girardana; Gyroidinoides globosus; Gyroidinoides goudkoffi; Gyroidinoides nitidus; Gyroidinoides octocameratus; Gyroidinoides praeglobosa; Gyroidinoides quadratus; Lagena gracilis; Lagena hispida; Lagena sulcata; Leg72; Lenticulina acuta; Lenticulina macrodisca; Lenticulina midwayensis; Lenticulina muensteri; Lenticulina spp.; Lenticulina velascoensis; Lenticulina whitei; Lingulina pygmaea; Loxostomum eleyi; Marginulina austinana; Marginulina hamutoides; Marginulina oligostegia; Marginulina siliqua; Marginulinopsis texaensis; Neoeponides hillebrandti; Neoeponides lunata; Neoflabellina semireticulata; Nodosaria velascoensis; Nonionella austinana; Nonion havanense; Nuttallides crassaformis; Nuttallides truempyi; Nuttallinella florealis; Nuttallinella sp.; Oolina apiculata; Oolina delicata; Oolina morsei; Oridorsalis biconvexus; Oridorsalis umbonatus; Osangularia cordieriana; Osangularia lens; Osangularia plummerae; Osangularia velascoensis; Period; Planularia liebusi; Pleurostomella austinana; Pleurostomella subnodosa; Pleurostomella torta; Praebulimina carseyae; Praebulimina cushmani; Praebulimina reussi; Praebulimina triangularis; Pseudonodosaria bistegia; Pseudonodosaria manifesta; Pseudouvigerina plummerae; Pullenia coryelli; Pullenia cretacea; Pullenia jarvisi; Pullenia minuta; Pyramidina rudita; Quadrimorphina allomorphinoides; Reophax trinitatensis; Reussella szajnochae; Rhabdammina discreta; Sample code/label; Saracenaria navicula; Saracenaria triangularis; South Atlantic/CONT RISE; Spiroplectammina dentata; Spiroplectammina praelonga; Spiroplectammina sigmoidina; Spiroplectammina spectabilis; Spiroplectammina subhaeringensis; Stage; Stensioeina pommerana; Stilostomella plummerae; Stilostomella pseudoscripta; Tritaxia amorpha; Tritaxia aspera; Tritaxia globulifera; Tritaxia trilatera; Trochammina boehmi; Vaginulina trilobata; Valvulineria lenticula
    Type: Dataset
    Format: text/tab-separated-values, 10465 data points
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  • 81
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    In:  Supplement to: Wind, Frank H; Wise, Sherwood W (1983): Correlation of upper Campanian–lower Maestrichtian calcareous nannofossil assemblages in drill and piston cores from the Falkland Plateau, Southwest Atlantic Ocean. In: Ludwig, WJ; Krasheninnikov, VA; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 71, 551-563, https://doi.org/10.2973/dsdp.proc.71.122.1983
    Publication Date: 2023-07-10
    Description: Calcareous nannofossils from upper Campanian-lower Maestrichtian Deep Sea Drilling Project Leg 71 Cores 511-23 and 511-24 are described and correlated with assemblages of similar age from piston and drill cores on the Falkland Plateau, South Atlantic Ocean. The Leg 71 cores partially fill a drilling gap of at least 20 meters left within a thick (50 m) carbonate section first drilled by DSDP Leg 36 at Site 327. Cores 511-23 and 511-24 both fall within the upper portion of the Biscutum coronum Zone of Wind and demonstrate an overlap in the range of Monomarginatus quaternarius with the ranges of M. pectinatus, Misceomarginatus pleniporus, and Biscutum coronum across the Campanian/ Maestrichtian boundary. Resolution of the sequence of highest occurrence datums for the latter species must await the recovery of a more complete section. Comparison of the Site 511 assemblages with those from Mas Orcadas Core 07-75-44 to the north confirms earlier speculation that the Falkland Plateau served as an important boundary between major water masses during the Late Cretaceous.
    Keywords: 71-511; Acuturris scotus; Ahmuellerella octoradiata; Arkhangelskiella cymbiformis; Arkhangelskiella specillata; Bidiscus rotatorius; Biscutum constans; Biscutum coronum; Biscutum dissimile; Biscutum magnum; Biscutum notaculum; Broinsonia enormis; Broinsonia parca; Broinsonia verecundia; Calculites obscurus; Centosphaera barbata; Ceratolithoides aculeus; Chiastozygus garrisonii; Corollithion rhombicum; Cretarhabdus conicus; Cretarhabdus sp.; Cretarhabdus surirellus; Cribrosphaerella ehrenbergii; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eiffellithus turriseiffelii; Gartnerago obliquum; Glomar Challenger; Kamptnerius magnificus; Lapideacassis sp.; Leg71; Light microscope; Lithraphidites carniolensis; Lucianorhabdus plexus; Marthasterites inconspicuus; Microrhabdulus belgicus; Micula decussata; Misceomarginatus pleniporus; Monomarginatus pectinatus; Monomarginatus quaternarius; Nannofossil abundance; Nannofossils preservation; Nannofossil zone; Nephrolithus corystus; Octocyclus reinhardtii; Orastrum asarotum; Ottavianus giannus; Parhabdolithus sp.; Pharus simulacrum; Prediscosphaera cretacea; Prediscosphaera honjoi; Prediscosphaera spinosa; Reinhardtites aff. anthophorus; Reinhardtites levis; Reinhardtites sp.; Russellia multiplus; Sample code/label; Scanning electron microscope (SEM); Scapholithus fossilis; South Atlantic/PLATEAU; Stage; Teichorhabdus ethmos; Thoracosphaera sp.; Tranolithus orionatus; Uniplanarius gothicus; Uniplanarius trifidus; Vekshinella aachena; Vekshinella elliptica; Vekshinella imbricata; Vekshinella parma; Watznaueria barnesae; Zygodiscus bicrescenticus; Zygodiscus spiralis; Zygodiscus theta
    Type: Dataset
    Format: text/tab-separated-values, 725 data points
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  • 82
    Publication Date: 2023-07-10
    Keywords: 71-511; Alabamina dissonata; Alabaminella weddellensis; Alabaminoides exiguus; Anomalinoides semicribratus; Anomalinoides spissiformis; Bandyella beckmanni; Bolivinopsis cubensis; Bradynella subglobosa; Bulimina sp.; Chilostomella czizeki; Cibicidoides kullenbergi; Cibicidoides sp.; Cibicidoides wuellerstorfi; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eggerella bradyi; Ellipsodimorphina subcompacta; Epoch; Glandulina laevigata; Glomar Challenger; Guttulina adhaerens; Gyroidina girardana; Gyroidina planulata; Gyroidina soldanii; Gyroidina sp.; Gyroidina zelandica; Gyroidinoides globosus; Hoeglundina elegans; Hyperammina sp.; Karreriella subglabra; Laticarinina pauperata; Leg71; Martinottiella antarctica; Martinottiella spp.; Nonion havanensis; Oridorsalis umbonatus; Orthomorphina glandigena; Orthomorphina rohri; Pleurostomella acuta; Pleurostomella subnodosa; Pullenia bulloides; Pullenia quadriloba; Pullenia quinqueloba; Pyrulina cylindroides; Sample code/label; South Atlantic/PLATEAU; Stilostomella antillea; Stilostomella basicarinata; Stilostomella bradyi; Stilostomella caribaea; Stilostomella curvatura; Stilostomella gracillima; Stilostomella nuttalli; Uvigerina peregrina
    Type: Dataset
    Format: text/tab-separated-values, 2646 data points
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  • 83
    Publication Date: 2023-07-10
    Keywords: Amphorella amphora; Amphorella quadrillineata; Arabian Sea; Brandtiella palliata; Climacocylis scalaria; Climacocylis scalaroides; Codonellopsis ecaudata; Codonellopsis orthoceras; Dadayiella ganymedes; Depth, bottom/max; Depth, top/min; DEPTH, water; Dictyocysta lepida; Epiplocylis undella; Epiplocyloides ralumensis; Eutintinnus apertus; Eutintinnus birictus; Eutintinnus lusus undae; IIOE - International Indian Ocean Expedition; Indian Ocean Standard Net; IOSN; M1; M1_149; M1_NET149; Meteor (1964); Parundella lohmanni; Proplectella claparèdei; Protorhabdonella simplex; Rhabdonella cornucopia; Rhabdonella indica; Rhabdonella poculum; Rhabdonella spiralis; Rhabdonellopsis apophysata; Salpingella acuminata; Salpingella decurtata; Seenstrupiella steenstrupii; Undella dilatata; Xystonella trefortii
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
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  • 84
    Publication Date: 2023-07-10
    Keywords: Amphorella amphora; Amphorella quadrillineata; Arabian Sea; Brandtiella palliata; Climacocylis scalaria; Climacocylis scalaroides; Codonellopsis ecaudata; Codonellopsis orthoceras; Dadayiella ganymedes; Depth, bottom/max; Depth, top/min; DEPTH, water; Dictyocysta lepida; Epiplocylis undella; Epiplocyloides ralumensis; Eutintinnus apertus; Eutintinnus birictus; Eutintinnus lusus undae; IIOE - International Indian Ocean Expedition; Indian Ocean Standard Net; IOSN; M1; M1_134; M1_NET134; Meteor (1964); Parundella lohmanni; Proplectella claparèdei; Protorhabdonella simplex; Rhabdonella cornucopia; Rhabdonella indica; Rhabdonella poculum; Rhabdonella spiralis; Rhabdonellopsis apophysata; Salpingella acuminata; Salpingella decurtata; Seenstrupiella steenstrupii; Undella dilatata; Xystonella trefortii
    Type: Dataset
    Format: text/tab-separated-values, 173 data points
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  • 85
    Publication Date: 2023-07-10
    Keywords: Amphorella amphora; Amphorella quadrillineata; Arabian Sea; Brandtiella palliata; Climacocylis scalaria; Climacocylis scalaroides; Codonellopsis ecaudata; Codonellopsis orthoceras; Dadayiella ganymedes; Depth, bottom/max; Depth, top/min; DEPTH, water; Dictyocysta lepida; Epiplocylis undella; Epiplocyloides ralumensis; Eutintinnus apertus; Eutintinnus birictus; Eutintinnus lusus undae; IIOE - International Indian Ocean Expedition; Indian Ocean Standard Net; IOSN; M1; M1_102; M1_NET102; Meteor (1964); Parundella lohmanni; Proplectella claparèdei; Protorhabdonella simplex; Rhabdonella cornucopia; Rhabdonella indica; Rhabdonella poculum; Rhabdonella spiralis; Rhabdonellopsis apophysata; Salpingella acuminata; Salpingella decurtata; Seenstrupiella steenstrupii; Undella dilatata; Xystonella trefortii
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
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  • 86
    Publication Date: 2023-07-10
    Keywords: Amphorella amphora; Amphorella quadrillineata; Arabian Sea; Brandtiella palliata; Climacocylis scalaria; Climacocylis scalaroides; Codonellopsis ecaudata; Codonellopsis orthoceras; Dadayiella ganymedes; Depth, bottom/max; Depth, top/min; DEPTH, water; Dictyocysta lepida; Epiplocylis undella; Epiplocyloides ralumensis; Eutintinnus apertus; Eutintinnus birictus; Eutintinnus lusus undae; IIOE - International Indian Ocean Expedition; Indian Ocean Standard Net; IOSN; M1; M1_116; M1_NET116; Meteor (1964); Parundella lohmanni; Proplectella claparèdei; Protorhabdonella simplex; Rhabdonella cornucopia; Rhabdonella indica; Rhabdonella poculum; Rhabdonella spiralis; Rhabdonellopsis apophysata; Salpingella acuminata; Salpingella decurtata; Seenstrupiella steenstrupii; Undella dilatata; Xystonella trefortii
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
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  • 87
    Publication Date: 2023-07-10
    Keywords: Amphorella amphora; Amphorella quadrillineata; Arabian Sea; Brandtiella palliata; Climacocylis scalaria; Climacocylis scalaroides; Codonellopsis ecaudata; Codonellopsis orthoceras; Dadayiella ganymedes; Depth, bottom/max; Depth, top/min; DEPTH, water; Dictyocysta lepida; Epiplocylis undella; Epiplocyloides ralumensis; Eutintinnus apertus; Eutintinnus birictus; Eutintinnus lusus undae; IIOE - International Indian Ocean Expedition; Indian Ocean Standard Net; IOSN; M1; M1_165; M1_NET165; Meteor (1964); Parundella lohmanni; Proplectella claparèdei; Protorhabdonella simplex; Rhabdonella cornucopia; Rhabdonella indica; Rhabdonella poculum; Rhabdonella spiralis; Rhabdonellopsis apophysata; Salpingella acuminata; Salpingella decurtata; Seenstrupiella steenstrupii; Undella dilatata; Xystonella trefortii
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
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  • 88
    Publication Date: 2023-07-10
    Keywords: CO2BaseSleipner; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma, in situ; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; G. O. Sars (1950); GS66; GS66_405; GS66_407; GS66_409; GS66_411; GS66_413; GS66_415; GS66_417; GS66_419; GS66_420; GS66_422; GS66_424; GS66_426; GS66_428; GS66_430; GS66_432; GS66_434; GS66_436; GS66_438; GS66_440; GS66_442; GS66_444; GS66_446; GS66_448; GS66_451; GS66_453; GS66_455; GS66_457; GS66_459; GS66_460; GS66_461; GS66_462; GS66_463; GS66_464; GS66_465; GS66_466; GS66_467; GS66_468; GS66_469; GS66_470; GS66_471; GS66_472; GS66_530; GS66_532; GS66_534; GS66_536; GS66_538; GS66_541; GS66_543; GS66_545; GS66_547; GS66_549; GS66_551; GS66_553; GS66_555; GS66_557; GS66_559; GS66_561; GS66_563; GS66_565; GS66_567; GS66_569; GS66_571; GS66_573; GS66_575; GS66_577; GS66_579; GS66_581; GS66_583; GS66_584; GS66_586; GS66_588; GS66_590; GS66_592; GS66_594; GS66_596; GS66_598; GS66_600; GS66_602; GS66_604; GS66_606; GS66_608; GS66_610; GS66_612; GS66_614; GS66_617; GS66_619; GS66_621; GS66_623; GS66_625; GS66_627; GS66_631; GS66_633; GS66_635; GS66_637; GS66_639; GS66_641; GS66_643; GS66_645; GS66_647; GS66_649; GS66_651; GS66_654; GS66_656; GS66_658; GS66_660; GS66_662; GS66_664; GS66_666; GS66_668; GS66_670; GS66_672; GS66_674; GS66_676; GS66_678; GS66_680; GS66_682; GS66_684; GS66_686; GS66_688; GS66_689; GS66_690; GS66_691; GS66_692; GS66_693; GS66_694; GS66_695; GS66_696; GS66_697; GS66_699; GS66_701; GS66_703; GS66_705; GS66_707; GS66_709; GS66_711; Latitude of event; Longitude of event; North Sea; Salinity; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 7212 data points
    Location Call Number Expected Availability
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  • 89
    Publication Date: 2023-07-10
    Keywords: CO2BaseSleipner; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma, in situ; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Salinity; Scotia; Scotia66; Scotia66_097; Scotia66_098; Scotia66_099; Scotia66_100; Scotia66_101; Scotia66_102; Scotia66_103; Scotia66_104; Scotia66_105; Scotia66_106; Scotia66_107; Scotia66_108; Scotia66_109; Scotia66_110; Scotia66_111; Scotia66_112; Scotia66_113; Scotia66_114; Scotia66_115; Scotia66_116; Scotia66_118; Scotia66_119; Scotia66_120; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 1245 data points
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  • 90
    Publication Date: 2023-07-10
    Keywords: Ammonium; Chlorophyll total; CO2BaseSleipner; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma, in situ; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Nitrate; North Sea; Norwegian Sea; Oxygen; Oxygen saturation; Phosphate; Salinity; Scotia; Scotia66; Scotia66_117; Scotia66_121; Scotia66_122; Scotia66_123; Scotia66_124; Scotia66_125; Scotia66_126; Scotia66_127; Scotia66_128; Scotia66_129; Scotia66_130; Scotia66_131; Scotia66_132; Scotia66_133; Scotia66_134; Scotia66_135; Scotia66_136; Scotia66_137; Scotia66_138; Scotia66_139; Scotia66_140; Scotia66_141; Scotia66_142; Scotia66_143; Scotia66_144; Scotia66_145; Scotia66_146; Scotia66_147; Scotia66_148; Scotia66_149; Scotia66_150; Scotia66_151; Scotia66_152; Scotia66_153; Scotia66_154; Silicate; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 423 data points
    Location Call Number Expected Availability
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  • 91
    Publication Date: 2023-07-10
    Keywords: A150/180; A180-73; Atlantic Ocean; Atlantische Kuppenfahrten 1967/1-3; BC; BCR; Box corer; Box corer (Reineck); Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; East Atlantic; Elevation of event; Event label; GIK12309-2; GIK12310-4; GIK12328-5; GIK12329-6; GIK12331-4; GIK12345-5; GIK12347-2; GIK12379-3; GIK12392-1; GIK13207-3; GIK13209-2; GIK13289-1; Grain size, mean radius; KAL; Kasten corer; KOL; Latitude of event; Longitude of event; M12392-1; M25; M8; M8_017-1; M8/17-1; Meteor (1964); off NW Africa; PC; Piston corer; Piston corer (Kiel type); Size fraction 〉 0.006 mm, silt; South Atlantic Ocean; SP8-4; SPC; Sphincter corer; V10; V10-83; V16; V16-20; V19; V19-303; V22; V22-197; V23; V23-100; V23-91; V25; V25-44; V26; V26-41; V27; V27-178; V31; V31-2; V32; V32-31; VA-10/3; Valdivia (1961); Vema
    Type: Dataset
    Format: text/tab-separated-values, 103 data points
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  • 92
    Publication Date: 2023-07-10
    Keywords: 8-71; Actinocyclus ingens; Actinocyclus radionovae; Bogorovia veniamini; Cestodiscus pulchellus; Coscinodiscus cf. salisburyanus; Coscinodiscus lewisianus; Coscinodiscus lewisianus var. robustus; Coscinodiscus lewisianus var. similis; Coscinodiscus oligocenicus; Coscinodiscus praenodulifer; Coscinodiscus rhombicus; Craspedodiscus elegans; Deep Sea Drilling Project; DEPTH, sediment/rock; Diatom abundance; Diatom preservation; Diatom zone; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Glomar Challenger; Leg8; Melosira architecturalis; North Pacific/PLAIN; Raphidodiscus marylandicus; Rocella gelida var. schraderi; Rocella vigilans; Rossiella paleacea; Sample code/label; Synedra jouseana; Synedra jouseana linearis; Synedra miocenica; Thalassiosira bukryi; Thalassiosira fraga; Thalassiosira primalabiata; Thalassiosira spinosa; Thalassiosira spumellaroides
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
    Location Call Number Expected Availability
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  • 93
    Publication Date: 2023-07-10
    Keywords: 9-77B; Actinocyclus ingens; Actinocyclus radionovae; Annellus californicus; Bogorovia veniamini; Cestodiscus peplum; Cestodiscus pulchellus; Coscinodiscus blysmos; Coscinodiscus cf. salisburyanus; Coscinodiscus lewisianus; Coscinodiscus lewisianus var. robustus; Coscinodiscus praenodulifer; Coscinodiscus rhombicus; Craspedodiscus coscinodiscus; Craspedodiscus elegans; Craspedodiscus rydei; Deep Sea Drilling Project; Denticulopsis lauta; Denticulopsis nicobarica; DEPTH, sediment/rock; Diatom abundance; Diatom preservation; Diatom zone; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Glomar Challenger; Leg9; Nitzschia maleinterpretaria; North Pacific/HILL; Raphidodiscus marylandicus; Rossiella paleacea; Sample code/label; Synedra jouseana; Synedra jouseana linearis; Synedra miocenica; Thalassiosira bukryi; Thalassiosira fraga; Thalassiosira spinosa; Triceratium pileus
    Type: Dataset
    Format: text/tab-separated-values, 273 data points
    Location Call Number Expected Availability
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  • 94
    Publication Date: 2023-07-09
    Keywords: Ascidia; BCR; Box corer (Reineck); Cnidaria; Counting 〉500 µm fraction; Date/Time of event; DEPTH, sediment/rock; Echinodermata; Elevation of event; Event label; Fladen Ground 1; Fladen Ground 2; Fladen Ground 3; Fladen Ground 4; Fladen Ground 5; Gastropoda; Gauss_03_1976_001-1; Gauss_03_1976_002-1; Gauss_03_1976_003-1; Gauss_03_1976_004-1; Gauss_03_1976_005-1; Indeterminata; Latitude of event; Longitude of event; M38; M38_001-1; M38_002-1; M38_003-1; M38_004-1; M38_005-1; Meteor (1964); Nematoda; Nemertini; North Sea; Oligochaeta; Porifera; Scaphopoda; Sipunculida; Solenogastres
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
    Location Call Number Expected Availability
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  • 95
    Publication Date: 2023-07-09
    Keywords: Aplanochytrium sp.; Bottle, Nansen; Counting; DEPTH, water; Dermocystidium sp.; Fungi; Labyrinthuloides sp.; M13; M13_066-1; Meteor (1964); NAS; Number of species; off West Africa; Sample code/label; Schizochytrium aggregatum; Schizochytrium sp.; Thraustochytrium aggregatum; Thraustochytrium multirudimentale; Thraustochytrium sp.; Ulkenia minuta
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
    Location Call Number Expected Availability
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  • 96
    Publication Date: 2023-07-09
    Keywords: Aplanochytrium sp.; Auftrieb 75; Auftrieb77; BCR; Box corer (Reineck); Counting; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dermocystidium sp.; East Atlantic; Elevation of event; Event label; Fungi; Grab (Shipek); KAL; Kasten corer; Labyrinthuloides sp.; Latitude of event; Longitude of event; M13; M13_058-2; M13_061-2; M13_062-2; M13_063-2; M13_064-2; M13_065-2; M13_067-2; M13_068-2; M13_070-2; M13_071-2; M13_074-2; M13_076-2; M36; M36_094-2; M36_095-4; M36_096-3; M36_097-3; M36_098-3; M36_099-3; M36_100-4; M36_101-1; M36_102-1; M36_103-1; M36_104-3; M36_105-4; M36_106-1; M36_110-1; M36_124-1; M36_125-1; M36_127-3; M36_128-2; M36_128-3; M36_129-1; M36_129-2; M36_130-1; M36_130-3; M36_131-1; M36_131-2; M44; M44_127-2; M44_127-6; M44_128-4; M44_129-3; M44_129-7; M44_132-1; M44_132-3; M44_133-2; M44_133-4; M44_134-1; M44_134-3; M44_135-1; M44_135-4; M44_193-2; M44_196-2; M44_199-3; M44_199-6; M44_200-1; M44_217-1; M44_235-2; M44_235-3; M44_236-3; M44_236-4; M44_239-2; M44_239-3; M44_242-1; M44_242-3; M44_243-1; M44_244-3; Meteor (1964); Number of species; off Northwest Africa; off West Africa; Sample code/label; Schizochytrium aggregatum; Schizochytrium sp.; SHIPEK; Thraustochytrium aggregatum; Thraustochytrium kinnei; Thraustochytrium motivum; Thraustochytrium multirudimentale; Thraustochytrium pachydermum; Thraustochytrium sp.; Thraustochytrium striatum; Ulkenia minuta; Ulkenia visurgensis; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 1659 data points
    Location Call Number Expected Availability
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  • 97
    Publication Date: 2023-07-09
    Keywords: Aplanochytrium sp.; Auftrieb 75; Auftrieb77; BCR; Bottle, Nansen; Box corer (Reineck); Counting; DEPTH, water; Dermocystidium sp.; East Atlantic; Event label; FS; Fungi; Labyrinthuloides sp.; Latitude of event; Longitude of event; M13; M13_058-1; M13_059-1; M13_060-1; M13_061-1; M13_062-1; M13_063-1; M13_064-1; M13_065-1; M13_067-1; M13_068-1; M13_069-1; M13_070-1; M13_071-1; M13_074-1; M13_076-1; M36; M36_094_3; M36_095-5; M36_096-7; M36_097-2; M36_098-4; M36_099-2; M36_100-3; M36_103-2; M36_104-4; M36_105-5; M36_108-1; M36_110-2; M36_116-1; M36_124-3; M36_125-5; M36_128-1; M36_129-3; M36_130-2; M36_131-3; M44; M44_127-1; M44_128-5; M44_129-6; M44_131-4; M44_132-7; M44_134-8; M44_135-7; M44_191-3; M44_192-5; M44_193-6; M44_194-2; M44_195-2; M44_196-5; M44_197-1; M44_199-5; M44_200-2; M44_207-2; M44_208-2; M44_209-2; M44_210-2; M44_234-1; M44_235-6; M44_236-2; M44_239-3; M44_240-1; M44_241-1; M44_242-6; Meteor (1964); NAS; Number of species; off Northwest Africa; off West Africa; Photo sledge BGR; Salinity; Sample code/label; Schizochytrium aggregatum; Schizochytrium sp.; Temperature, water; Thraustochytrium aggregatum; Thraustochytrium motivum; Thraustochytrium multirudimentale; Thraustochytrium roseum; Thraustochytrium sp.; Ulkenia minuta; Ulkenia visurgensis; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 1478 data points
    Location Call Number Expected Availability
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  • 98
    Publication Date: 2023-07-09
    Keywords: Aplanochytrium sp.; Auftrieb 75; Auftrieb77; BCR; Box corer (Reineck); Counting; DEPTH, water; Dermocystidium sp.; East Atlantic; Event label; Fungi; Labyrinthuloides sp.; Latitude of event; Longitude of event; M36; M36_095-4; M36_096-3; M36_097-3; M36_098-3; M36_099-3; M36_100-4; M36_104-3; M36_106-1; M36_110-1; M36_124-1; M36_127-3; M36_128-2; M36_128-3; M36_129-1; M36_129-2; M36_130-1; M36_130-3; M36_131-1; M36_131-2; M44; M44_129-3; M44_132-3; M44_133-2; M44_134-1; M44_134-3; M44_135-1; M44_193-2; M44_199-3; M44_235-2; M44_236-4; M44_239-2; Meteor (1964); Number of species; off Northwest Africa; Sample code/label; Sample volume; Schizochytrium sp.; Thraustochytrium aggregatum; Thraustochytrium motivum; Thraustochytrium multirudimentale; Thraustochytrium pachydermum; Thraustochytrium sp.; Thraustochytrium striatum; Ulkenia minuta; Ulkenia visurgensis; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 671 data points
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2023-07-09
    Keywords: Aplanochytrium sp.; BC; BCR; Box corer; Box corer (Reineck); Cape Blanc/Meteor Bank/Portugal; Counting; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dermocystidium sp.; Elevation of event; Event label; FBG; Fungi; Labyrinthuloides sp.; Latitude of event; Longitude of event; M19; M19_193-2; M19_197-2; M19_201-2; M19_202-2; M19_209a-2; M19_210a-2; M19_213-2; M19_215-2; M19_216-2; M19_217-2; M19_218-2; M19_219-2; M19_223-2; M19_229-2; M19_232-2; M19_234-2; M19_236-2; M19_238-2; M19_239-2; M19_241-2; M19_243-2; M19_245-2; M19_246-2; M19_250-2; M19_251-2; M19_252-2; M19_257-2; M19_270-2; M19_271-2; M19_272-2; M19_273-2; M19_274-2; M19_275-2; M19_276-2; M19_277-2; M19_278-2; M19_279-2; M19_282-2; M19_283-2; M19_284-2; M19_285-2; M19_286-2; M19_291-2; M19_292-2; M19_294-2; M19_296-2; M19_298-2; M19_299-2; M19_304-2; Meteor (1964); Number of species; Photo grab; Rossbreiten-Expedition 1970; Sample code/label; Schizochytrium aggregatum; Schizochytrium sp.; Thraustochytrium aggregatum; Thraustochytrium kinnei; Thraustochytrium motivum; Thraustochytrium multirudimentale; Thraustochytrium pachydermum; Thraustochytrium sp.; Thraustochytrium striatum; Ulkenia minuta; Ulkenia sp.; Ulkenia visurgensis; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 1378 data points
    Location Call Number Expected Availability
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  • 100
    Publication Date: 2023-07-09
    Keywords: 20; Counting; DEPTH, water; Dermocystidium sp.; Fungi; Labyrinthula sp.; Labyrinthuloides sp.; North Sea; Number of species; Salinity; Sample code/label; Schizochytrium aggregatum; Schizochytrium sp.; Temperature, water; Thraustochytrium aggregatum; Thraustochytrium aureum; Thraustochytrium multirudimentale; Thraustochytrium pachydermum; Thraustochytrium sp.; Ulkenia minuta; Ulkenia visurgensis; VH_06_76_482-1; VH0676; Victor Hensen; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
    Location Call Number Expected Availability
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