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  • Blackwell Publishing Ltd  (20,651)
  • American Meteorological Society
  • PANGAEA
  • 2020-2022  (3,435)
  • 1980-1984  (25,909)
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  • 1
    Publication Date: 2021-05-12
    Description: Producing probabilistic subseasonal forecasts of extreme events up to six weeks in advance is crucial for many economic sectors. In agribusiness, this time scale is particularly critical because it allows for mitigation strategies to be adopted for counteracting weather hazards and taking advantage of opportunities. For example, spring frosts are detrimental for many nut trees, resulting in dramatic losses at harvest time. To explore subseasonal forecast quality in boreal spring, identified as one of the most sensitive times of the year by agribusiness end users, we build a multisystem ensemble using four models involved in the Subseasonal to Seasonal Prediction project (S2S). Two-meter temperature forecasts are used to analyze cold spell predictions in the coastal Black Sea region, an area that is a global leader in the production of hazelnuts. When analyzed at the global scale, the multisystem ensemble probabilistic forecasts for near-surface temperature are better than climatological values for several regions, especially the tropics, even many weeks in advance; however, in the coastal Black Sea, skill is low after the second forecast week. When cold spells are predicted instead of near-surface temperatures, skill improves for the region, and the forecasts prove to contain potentially useful information to stakeholders willing to put mitigation plans into effect. Using a cost–loss model approach for the first time in this context, we show that there is added value of having such a forecast system instead of a business-as-usual strategy, not only for predictions released 1–2 weeks ahead of the extreme event, but also at longer lead times.
    Description: Published
    Description: 237–254
    Description: 4A. Oceanografia e clima
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2020-07-13
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
    Publication Date: 2018-04-03
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 4
    Publication Date: 2021-06-28
    Description: Efforts to collaboratively manage the risk of flooding are ultimately based on individuals learning about risks, the decision process, and the effectiveness of decisions made in prior situations. This article argues that much can be learned about a governance setting by explicitly evaluating the relationships through which influential individuals and their immediate contacts receive and send information to one another. We define these individuals as “brokers,” and the networks that emerge from their interactions as “learning spaces.” The aim of this article is to develop strategies to identify and evaluate the properties of a broker's learning space that are indicative of a collaborative flood risk management arrangement. The first part of this article introduces a set of indicators, and presents strategies to employ this list so as to systematically identify brokers, and compare their learning spaces. The second part outlines the lessons from an evaluation that explored cases in two distinct flood risk management settings in Germany. The results show differences in the observed brokers' learning spaces. The contacts and interactions of the broker in Baden‐Württemberg imply a collaborative setting. In contrast, learning space of the broker in North Rhine‐Westphalia lacks the same level of diversity and polycentricity.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: MWK Baden‐Württemberg
    Keywords: 333.91 ; brokerage ; collaborative water governance ; comanagement ; comparative analysis ; social networks
    Type: article
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  • 5
    Publication Date: 2021-07-04
    Description: Most common machine learning (ML) algorithms usually work well on balanced training sets, that is, datasets in which all classes are approximately represented equally. Otherwise, the accuracy estimates may be unreliable and classes with only a few values are often misclassified or neglected. This is known as a class imbalance problem in machine learning and datasets that do not meet this criterion are referred to as imbalanced data. Most datasets of soil classes are, therefore, imbalanced data. One of our main objectives is to compare eight resampling strategies that have been developed to counteract the imbalanced data problem. We compared the performance of five of the most common ML algorithms with the resampling approaches. The highest increase in prediction accuracy was achieved with SMOTE (the synthetic minority oversampling technique). In comparison to the baseline prediction on the original dataset, we achieved an increase of about 10, 20 and 10% in the overall accuracy, kappa index and F‐score, respectively. Regarding the ML approaches, random forest (RF) showed the best performance with an overall accuracy, kappa index and F‐score of 66, 60 and 57%, respectively. Moreover, the combination of RF and SMOTE improved the accuracy of the individual soil classes, compared to RF trained on the original dataset and allowed better prediction of soil classes with a low number of samples in the corresponding soil profile database, in our case for Chernozems. Our results show that balancing existing soil legacy data using synthetic sampling strategies can significantly improve the prediction accuracy in digital soil mapping (DSM). Highlights Spatial distribution of soil classes in Iran can be predicted using machine learning (ML) algorithms. The synthetic minority oversampling technique overcomes the drawback of imbalanced and highly biased soil legacy data. When combining a random forest model with synthetic sampling strategies the prediction accuracy of the soil model improves significantly. The resulting new soil map of Iran has a much higher spatial resolution compared to existing maps and displays new soil classes that have not yet been mapped in Iran.
    Description: Alexander von Humboldt‐Stiftung http://dx.doi.org/10.13039/100005156
    Description: German Research Foundation http://dx.doi.org/10.13039/501100001659
    Description: Soil and Water Research Institute, Agricultural Research, Education and Extension Organization, Karaj, Iran
    Keywords: 631.4 ; covariates ; imbalanced data ; machine learning ; random forest ; soil legacy data
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  • 6
    Publication Date: 2021-06-16
    Description: The application of biochar to agricultural soils to increase nutrient availability, crop production and carbon sequestration has gained increasing interest but data from field experiments on temperate, marginal soils are still under‐represented. In the current study, biochar, produced from organic residues (digestates) from a biogas plant, was applied with and without digestates at low (3.4 t ha−1) and intermediate (17.1 t ha−1) rates to two acidic and sandy soils in northern Germany that are used for corn (Zea mays L.) production. Soil nutrient availability, crop yields, microbial biomass and carbon dioxide (CO2) emissions from heterotrophic respiration were measured over two consecutive years. The effects of biochar application depended on the intrinsic properties of the two tested soils and the biochar application rates. Although the soils at the fallow site, with initially low nutrient concentrations, showed a significant increase in pH, soil nutrients and crop yield after low biochar application rates, a similar response was found at the cornfield site only after application of substantially larger amounts of biochar. The effect of a single dose of biochar at the beginning of the experiment diminished over time but was still detectable after 2 years. Whereas plant available nutrient concentrations increased after biochar application, the availability of potentially phytotoxic trace elements (Zn, Pb, Cd, Cr) decreased significantly, and although slight increases in microbial biomass carbon and heterotrophic CO2 fluxes were observed after biochar application, they were mostly not significant. The results indicate that the application of relatively small amounts of biochar could have positive effects on plant available nutrients and crop yields of marginal arable soils and may decrease the need for mineral fertilizers while simultaneously increasing the sequestration of soil organic carbon. Highlights A low rate of biochar increased plant available nutrients and crop yield on marginal soils. Biochar application reduced the availability of potentially harmful trace elements. Heterotrophic respiration showed no clear response to biochar application. Biochar application may reduce fertilizer need and increase carbon sequestration on marginal soils.
    Description: German Academic Exchange Service http://dx.doi.org/10.13039/501100001655
    Description: Institute Strategic Programme grants, “Soils to Nutrition”
    Keywords: 631.4 ; black carbon ; carbon sequestration ; corn ; digestate ; heterotrophic respiration ; marginal soils ; microbial biomass
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  • 7
    Publication Date: 2021-06-27
    Description: Social inequalities lead to flood resilience inequalities across social groups, a topic that requires improved documentation and understanding. The objective of this paper is to attend to these differences by investigating self‐stated flood recovery across genders in Vietnam as a conceptual replication of earlier results from Germany. This study employs a regression‐based analysis of 1,010 respondents divided between a rural coastal and an urban community in Thua Thien‐Hue province. The results highlight an important set of recovery process‐related variables. The set of relevant variables is similar across genders in terms of inclusion and influence, and includes age, social capital, internal and external support after a flood, perceived severity of previous flood impacts, and the perception of stress‐resilience. However, women were affected more heavily by flooding in terms of longer recovery times, which should be accounted for in risk management. Overall, the studied variables perform similarly in Vietnam and Germany. This study, therefore, conceptually replicates previous results suggesting that women display slightly slower recovery levels as well as that psychological variables influence recovery rates more than adverse flood impacts. This provides an indication of the results' potentially robust nature due to the different socio‐environmental contexts in Germany and Vietnam.
    Keywords: 333.7 ; flood recovery ; resilience ; societal equity ; vulnerability
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  • 8
    Publication Date: 2021-07-05
    Description: Nitrogen (N) fertilization is the major contributor to nitrous oxide (N2O) emissions from agricultural soil, especially in post‐harvest seasons. This study was carried out to investigate whether ryegrass serving as cover crop affects soil N2O emissions and denitrifier community size. A microcosm experiment was conducted with soil planted with perennial ryegrass (Lolium perenne L.) and bare soil, each with four levels of N fertilizer (0, 5, 10 and 20 g N m−2; applied as calcium ammonium nitrate). The closed‐chamber approach was used to measure soil N2O fluxes. Real‐time PCR was used to estimate the biomass of bacteria and fungi and the abundance of genes involved in denitrification in soil. The results showed that the presence of ryegrass decreased the nitrate content in soil. Cumulative N2O emissions of soil with grass were lower than in bare soil at 5 and 10 g N m−2. Fertilization levels did not affect the abundance of soil bacteria and fungi. Soil with grass showed greater abundances of bacteria and fungi, as well as microorganisms carrying narG, napA, nirK, nirS and nosZ clade I genes. It is concluded that ryegrass serving as a cover crop holds the potential to mitigate soil N2O emissions in soils with moderate or high NO3− concentrations. This highlights the importance of cover crops for the reduction of N2O emissions from soil, particularly following N fertilization. Future research should explore the full potential of ryegrass to reduce soil N2O emissions under field conditions as well as in different soils. Highlights This study was to investigate whether ryegrass serving as cover crop affects soil N2O emissions and denitrifier community size; Plant reduced soil N substrates on one side, but their root exudates stimulated denitrification on the other side; N2O emissions were lower in soil with grass than bare soil at medium fertilizer levels, and growing grass stimulated the proliferation of almost all the denitrifying bacteria except nosZ clade II; Ryegrass serving as a cover crop holds the potential to mitigate soil N2O emissions.
    Description: China Scholarship Council http://dx.doi.org/10.13039/501100004543
    Description: The National Science Project for University of Anhui Province
    Keywords: 551.9 ; 631.4 ; denitrification ; perennial ryegrass (Lolium perenne L.) ; soil bacteria ; soil CO2 emissions ; soil N2O emissions
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  • 9
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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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  • 10
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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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  • 11
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    PANGAEA
    In:  EPIC3Max Kohl A.G. Chemnitz i.S., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 12
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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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  • 13
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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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  • 14
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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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  • 15
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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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  • 16
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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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  • 17
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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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  • 18
    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:  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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  • 20
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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
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  • 21
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 22
    Publication Date: 2021-07-04
    Description: High‐performance numerical codes are an indispensable tool for hydrogeologists when modeling subsurface flow and transport systems. But as they are written in compiled languages, like C/C++ or Fortran, established software packages are rarely user‐friendly, limiting a wider adoption of such tools. OpenGeoSys (OGS), an open‐source, finite‐element solver for thermo‐hydro‐mechanical–chemical processes in porous and fractured media, is no exception. Graphical user interfaces may increase usability, but do so at a dramatic reduction of flexibility and are difficult or impossible to integrate into a larger workflow. Python offers an optimal trade‐off between these goals by providing a highly flexible, yet comparatively user‐friendly environment for software applications. Hence, we introduce ogs5py, a Python‐API for the OpenGeoSys 5 scientific modeling package. It provides a fully Python‐based representation of an OGS project, a large array of convenience functions for users to interact with OGS and connects OGS to the scientific and computational environment of Python.
    Description: German Federal Environmental Foundation http://dx.doi.org/10.13039/100007636
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: 551.49 ; hydrogeology ; subsurface flow ; modeling ; software
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  • 23
    Publication Date: 2021-06-27
    Description: Transport processes that lead to exchange of mass between surface water and groundwater play a significant role for the ecological functioning of aquatic systems, for hydrological processes and for biogeochemical transformations. In this study, we present a novel integral modeling approach for flow and transport at the sediment–water interface. The model allows us to simultaneously simulate turbulent surface and subsurface flow and transport with the same conceptual approach. For this purpose, a conservative transport equation was implemented to an existing approach that uses an extended version of the Navier–Stokes equations. Based on previous flume studies which investigated the spreading of a dye tracer under neutral, losing and gaining flow conditions the new solver is validated. Tracer distributions of the experiments are in close agreement with the simulations. The simulated flow paths are significantly affected by in‐ and outflowing groundwater flow. The highest velocities within the sediment are found for losing condition, which leads to shorter residence times compared to neutral and gaining conditions. The largest extent of the hyporheic exchange flow is observed under neutral condition. The new solver can be used for further examinations of cases that are not suitable for the conventional coupled models, for example, if Reynolds numbers are larger than 10. Moreover, results gained with the integral solver provide high‐resolution information on pressure and velocity distributions at the rippled streambed, which can be used to improve flow predictions. This includes the extent of hyporheic exchange under varying ambient groundwater flow conditions.
    Description: Technische Universität Berlin, Germany
    Description: German Research Foundation http://dx.doi.org/10.13039/501100001659
    Keywords: 551.4 ; aquatic systems ; sediment-water interface ; transport model
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  • 24
    Publication Date: 2021-07-05
    Description: Sustainable arable cropping relies on repeated liming. Yet, the associated increase in soil pH can reduce the availability of iron (Fe) to plants. We hypothesized that repeated liming, but not pedogenic processes such as lessivage (i.e., translocation of clay particles), alters the Fe cycle in Luvisol soil, thereby affecting Fe isotope composition in soils and crops. Hence, we analysed Fe concentrations and isotope compositions in soil profiles and winter rye from the long‐term agricultural experimental site in Berlin‐Dahlem, Germany, where a controlled liming trial with three field replicates per treatment has been conducted on Albic Luvisols since 1923. Heterogeneity in subsoil was observed at this site for Fe concentration but not for Fe isotope composition. Lessivage had not affected Fe isotope composition in the soil profiles. The results also showed that almost 100 years of liming lowered the concentration of the HCl‐extractable Fe that was potentially available for plant uptake in the surface soil (0–15 cm) from 1.03 (standard error (SE) 0.03) to 0.94 (SE 0.01) g kg−1. This HCl‐extractable Fe pool contained isotopically lighter Fe (δ56Fe = −0.05 to −0.29‰) than the bulk soil (δ56Fe = −0.08 to 0.08‰). However, its Fe isotope composition was not altered by the long‐term lime application. Liming resulted in relatively lower Fe concentrations in the roots of winter rye. In addition, liming led to a heavier Fe isotope composition of the whole plants compared with those grown in the non‐limed plots (δ56FeWholePlant_ + Lime = −0.12‰, SE 0.03 vs. δ56FeWholePlant_‐Lime = −0.21‰, SE 0.01). This suggests that the elevated soil pH (increased by one unit due to liming) promoted the Fe uptake strategy through complexation of Fe(III) from the rhizosphere, which favoured heavier Fe isotopes. Overall, the present study showed that liming and a related increase in pH did not affect the Fe isotope compositions of the soil, but may influence the Fe isotope composition of plants grown in the soil if they alter their Fe uptake strategy upon the change of Fe availability. Highlights Fe concentrations and stocks, but not Fe isotope compositions, were more heterogeneous in subsoil than in topsoil. Translocation of clay minerals did not result in Fe isotope fractionation in the soil profile of a Luvisol. Liming decreased Fe availability in topsoil, but did not affect its δ56Fe values. Uptake of heavier Fe isotopes by graminaceous crops was more pronounced at elevated pH.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Keywords: 551.9 ; liming ; plant‐available Fe pool in soil ; winter rye ; δ56Fe
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  • 25
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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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  • 26
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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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  • 27
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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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  • 28
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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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  • 29
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-06-23
    Repository Name: EPIC Alfred Wegener Institut
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  • 30
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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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  • 31
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2015-05-07
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  • 32
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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
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  • 33
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    PANGAEA
    In:  EPIC3Fachbereiche Geowissenschaften, University Bremen., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 34
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    PANGAEA
    In:  EPIC3Spektrum der Wissenschaft, Bremerhaven, PANGAEA, 2, pp. 10-20
    Publication Date: 2019-07-17
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  • 35
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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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  • 36
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    PANGAEA
    In:  EPIC3Revue de Paléobiologie, Bremerhaven, PANGAEA, 2(2), pp. 221-227
    Publication Date: 2019-07-17
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  • 37
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    PANGAEA
    In:  EPIC3Australian Meteorological Magazine, Bremerhaven, PANGAEA, 31(3), pp. 179-184
    Publication Date: 2019-07-17
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  • 38
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 39
    Publication Date: 2021-08-20
    Description: The main purpose of this project was to detect subsidence of the ground and of buildings in a permafrost affected landscape. Therefore, we surveyed many points using GNSS in the village of Ny Ålesund and in the watershed of the Bayelva River close to the long term observations.
    Repository Name: EPIC Alfred Wegener Institut
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  • 40
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    American Meteorological Society
    Publication Date: 2020-03-16
    Description: Author Posting. © American Meteorological Society, 2020. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 33(4), (2020): 1535-1545, doi:10.1175/JCLI-D-19-0547.1.
    Description: In a transient warming scenario, the North Atlantic is influenced by a complex pattern of surface buoyancy flux changes that ultimately weaken the Atlantic meridional overturning circulation (AMOC). Here we study the AMOC response in the CMIP5 experiment, using the near-geostrophic balance of the AMOC on interannual time scales to identify the role of temperature and salinity changes in altering the circulation. The thermal wind relationship is used to quantify changes in the zonal density gradients that control the strength of the flow. At 40°N, where the overturning cell is at its strongest, weakening of the AMOC is largely driven by warming between 1000- and 2000-m depth along the western margin. Despite significant subpolar surface freshening, salinity changes are small in the deep branch of the circulation. This is likely due to the influence of anomalously salty water in the subpolar intermediate layers, which is carried northward from the subtropics in the upper limb of the AMOC. In the upper 1000 m at 40°N, salty anomalies due to increased evaporation largely cancel the buoyancy increase due to warming. Therefore, in CMIP5, temperature dynamics are responsible for AMOC weakening, while freshwater forcing instead acts to strengthen the circulation in the net. These results indicate that past modeling studies of AMOC weakening, which rely on freshwater hosing in the subpolar gyre, may not be directly applicable to a more complex warming scenario.
    Description: We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output. We also thank John Marshall for helpful discussions on the driving mechanisms of the AMOC, and three anonymous reviewers whose comments greatly improved the manuscript. This work was supported by NASA Headquarters under the NASA Earth and Space Science Fellowship Program Award 80NSSC17K0372, and by National Science Foundation Award OCE-1433132.
    Description: 2020-07-20
    Keywords: North Atlantic Ocean ; Thermohaline circulation ; Water masses/storage ; Climate change ; Climate prediction ; Climate models
    Repository Name: Woods Hole Open Access Server
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  • 41
    Publication Date: 2021-09-29
    Description: Coping with the growing impacts of flooding in EU countries, a paradigm shift in flood management can be observed, moving from safety‐based towards risk‐based approaches and holistic perspectives. Flood resilience is a common denominator of most of the approaches. In this article, we present the ‘Flood Resilience Rose’ (FRR), a management tool to promote harmonised action towards flood resilience in European regions and beyond. The FRR is a result of a two‐step process. First, based on scientific concepts as well as analysis of relevant policy documents, we identified three ‘levels of operation’. The first level refers to the EU Floods Directive and an extended multi‐layer safety approach, comprising the four different layers of protection, prevention, preparedness and recovery, and related measures to be taken. This level is not independent but depends both on the institutional (second level) and the wider (third level) context. Second, we used surveys, semi‐structured interviews and group discussions during workshops with experts from Belgium, Denmark, Germany, the Netherlands and the United Kingdom to validate the definitions and the FRR's practical relevance. The presented FRR is thus the result of rigorous theoretical and practical consideration and provides a tool capable to strengthen flood risk management practice.
    Description: European Regional Development Fund http://dx.doi.org/10.13039/501100008530
    Keywords: 551.48 ; flood defence measures ; governance and institutions ; integrated flood risk management ; resilience
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  • 42
    Publication Date: 2020-12-04
    Language: English
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    Publication Date: 2020-12-02
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    Publication Date: 2020-12-02
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    Publication Date: 2020-12-03
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    Publication Date: 2020-12-03
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    Publication Date: 2020-12-03
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    Publication Date: 2020-11-24
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  • 54
    Publication Date: 2020-12-02
    Description: The sample set includes 25 newly sampled sea-level index points based on fossil microatoll measurements from 5 islands in the Spermonde Archipelago, 21 fossl microatoll samples previously published by Mann et al., 2016 from two Islands in the same study region and 20 marine and terrestrial limiting points (e.g. corals, shells and loamy clay) and one further sea-level index point from a Mangrove swamp published by De Klerk, 1982 and Tjia et al., 1972
    Language: English
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    Publication Date: 2020-12-03
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    Publication Date: 2020-12-03
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    Publication Date: 2020-12-04
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    Publication Date: 2020-12-04
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  • 59
    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
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  • 60
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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
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  • 61
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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
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  • 62
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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; 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
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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; 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
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  • 64
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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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  • 65
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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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  • 66
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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
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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; 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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  • 68
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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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  • 69
    facet.materialart.
    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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  • 70
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    Unknown
    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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  • 71
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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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  • 72
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    PANGAEA
    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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  • 73
    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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  • 74
    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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  • 75
    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
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  • 76
    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
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  • 77
    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
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  • 78
    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
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  • 79
    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
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  • 80
    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
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  • 81
    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
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  • 82
    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
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  • 83
    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
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  • 84
    Publication Date: 2023-07-09
    Keywords: Ascidiacea; 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_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; Nemertea; North Sea; Oligochaeta spp.; Porifera; Scaphopoda; Sipunculida; Solenogastres
    Type: Dataset
    Format: text/tab-separated-values, 108 data points
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  • 85
    Publication Date: 2023-07-09
    Keywords: 23; 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_479-1; VH0676; Victor Hensen; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 86
    Publication Date: 2023-07-09
    Keywords: 14; CO2BaseSleipner; 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_488-1; VH0676; Victor Hensen; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 87
    Publication Date: 2023-07-09
    Keywords: Ascidiacea; BCR; Bivalvia; Box corer (Reineck); Counting 〉42 µm fraction; Crustacea; DEPTH, sediment/rock; Elevation of event; Event label; Fladen Ground 1; Fladen Ground 4; Fladen Ground 5; Gastropoda; Holothuroidea; Latitude of event; Longitude of event; M38; M38_001-1; M38_004-1; M38_005-1; Meteor (1964); North Sea; Ophiuroidea; Scaphopoda; Sipunculida; Solenogastres
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 88
    Publication Date: 2023-07-09
    Keywords: Cibicides wuellerstorfi, δ18O; DEPTH, sediment/rock; Foraminifera, benthic δ18O; Globigerina pachyderma, δ18O; Mass spectrometer VG Micromass 602; Oridorsalis tener, δ18O; PC; Piston corer; V27; V27-86; Vema
    Type: Dataset
    Format: text/tab-separated-values, 130 data points
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  • 89
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    Unknown
    PANGAEA
    Publication Date: 2023-07-09
    Keywords: 55-433; 55-433A; Abundance; Actinocyclus curvatulus; Actinocyclus divisus; Actinocyclus ehrenbergii; Actinocyclus ehrenbergii var. tenella; Actinocyclus ellipticus; Actinocyclus ellipticus elongatus; Actinocyclus ellipticus forma lanceolata; Actinocyclus ingens; Actinocyclus ochotensis; Actinocyclus oculatus; Actinocyclus tsugaruensis; Actinoptychus undulatus; Asterolampra acutiloba; Asterolampra grevillei; Asterolampra marylandica; Asteromphalus darwinii; Asteromphalus flabellatus; Asteromphalus hookeri; Asteromphalus hungaricus; Asteromphalus robustus; Cocconeis costata; Coscinodiscus curvatulus; Coscinodiscus endoi; Coscinodiscus lewisianus; Coscinodiscus marginatus; Coscinodiscus nodulifer; Coscinodiscus oculus-iridis; Coscinodiscus stellaris; Coscinodiscus symbolophorus; Coscinodiscus tabularis; Cosmiodiscus insignis; Counting, diatoms; Deep Sea Drilling Project; Denticula hyalina; Denticula kamtschatica; Denticula lauta; Denticula punctata; Denticula seminae; Denticula seminae fossilis; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Diatom preservation; Diatom zone; Diploneis bombus; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Event label; Glomar Challenger; Hemidiscus cuneiformis; Leg55; Mediaria splendida; Nitzschia cf. oceanica; Nitzschia fossilis; Nitzschia jouseae; Nitzschia marina; Nitzschia miocenica; Nitzschia reinholdii; Nitzschia rolandii; Nitzschia suikoensis; North Pacific/SEAMOUNT; Planktoniella sol; Pseudoeunotia doliolus; Rhabdonema japonicum; Rhizosolenia barboi; Rhizosolenia bergonii; Rhizosolenia curvirostris; Rhizosolenia hebetata forma hiemalis; Rhizosolenia sp.; Rhizosolenia styliformis; Rouxia californica; Rouxia naviculoides; Rouxia yabei; Sample code/label; Stephanopyxis turris; Synedra jouseana; Thalassionema nitzschioides; Thalassiosira aff. borealis; Thalassiosira antiqua; Thalassiosira borealis; Thalassiosira convexa; Thalassiosira decipiens; Thalassiosira eccentrica; Thalassiosira eccentrica var. fasiculatus; Thalassiosira eccentrica var. jouseae; Thalassiosira eccentrica var. leasareolatus; Thalassiosira gravida; Thalassiosira gravida fossilis; Thalassiosira hyalina; Thalassiosira jacksonii; Thalassiosira leptopus; Thalassiosira lineata; Thalassiosira miocenica; Thalassiosira oestrupii; Thalassiosira opposita; Thalassiosira plicata; Thalassiosira praeconvexa; Thalassiothrix longissima
    Type: Dataset
    Format: text/tab-separated-values, 4226 data points
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  • 90
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Keigwin, Lloyd D (1982): Stable isotope stratigraphy and paleoceanography of Sites 502 and 503. In: Prell, WL; Gardner, JV; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 68, 445-453, https://doi.org/10.2973/dsdp.proc.68.119.1982
    Publication Date: 2023-07-09
    Description: Analyses of stable isotopes of monospecific planktonic foraminifers (G. quadrilobatus group) and monogeneric benthic foraminifers (Cibicidoides spp.) from late Neogene Atlantic Site 502 and Pacific Site 503 were conducted in order to determine the paleoceanographic changes resulting from the late Neogene uplift of the Panama Isthmus and from climatic cooling. In general, results at each site are similar to those from previous studies for the late Miocene and late Pliocene time interval, documenting the late Miocene (6 Ma) shift in carbon isotopes and the inferred growth of permanent Northern Hemisphere continental ice sheets beginning about 3.2 Ma. Comparison of Atlantic-Pacific planktonic-benthic isotope data for four stratigraphic intervals (~6-8, ~5-6, ~3-5, and ~2-3 Ma) suggests that increasing isolation of Atlantic and Pacific low-latitude waters may be related to the emergence of the Panama Isthmus. The contrast between Atlantic and Pacific benthic foraminiferal d13C increased in two steps from 0.60 per mil to 1 per mil (the modern contrast) at about 6 Ma and 3 Ma. The first increase (0.15 per mil) may represent the end of previously limited deep-water communication between the Atlantic and Pacific at the present location of Panama. The second increase (0.25 per mil) may be due to increased production of North Atlantic Deep Water. This probably reflects the development of modern deep-sea circulation. The d18O of planktonic foraminifers begins to increase in Atlantic Site 502 at 4.2 Ma and may reflect the increasing salinity of the North Atlantic Ocean arising from diminishing surface-water exchange across Panama. This increase is clearly shown by contrasting the d18O of Atlantic and Pacific planktonic foraminifers, as well as the d18O of planktonic and benthic foraminifers at Site 502. This inferred increase in surface-water salinity begins at the time of increasing provinciality of Atlantic and Pacific planktonic foraminifers.
    Keywords: 68-502A; 68-502B; 68-502C; 68-503A; 68-503B; Caribbean Sea/RIDGE; Cibicidoides kullenbergi, δ13C; Cibicidoides kullenbergi, δ18O; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Elevation of event; Event label; Globigerinoides quadrilobatus, δ13C; Globigerinoides quadrilobatus, δ18O; Glomar Challenger; Latitude of event; Leg68; Longitude of event; North Pacific/FLANK; Oridorsalis tener, δ13C; Oridorsalis tener, δ18O; Sample code/label; see reference(s)
    Type: Dataset
    Format: text/tab-separated-values, 699 data points
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  • 91
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Bukry, David (1983): Upper Cenozoic silicoflagellates from offshore Ecuador, Deep Sea Drilling Project Site 504. In: Cann, JR; Langseth, MG; Honnorez, J; Von Herzen, RP; White, SM; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 69, 321-342, https://doi.org/10.2973/dsdp.proc.69.113.1983
    Publication Date: 2023-07-09
    Description: Diverse and abundant late Miocene to Pleistocene silicoflagellates at DSDP Site 504 can be correlated by tropical biostratigraphic zones and relative paleotemperature values to eastern tropical Pacific reference site DSDP 503A farther to the west. Early Pliocene assemblages, which were poorly known until now, are present and can be correlated locally between DSDP Holes 504, 503A, and 495, using species events associated with the new Dictyocha pulchella Subzone and Dictyocha angulata Subzone. Silicoflagellate relative paleotemperature values show major warming at 4.7 to 5.0 Ma (Cores 45-48), 3.4 to 3.8 Ma (Cores 32-33), 1.5 to 1.7 Ma (Cores 12-16), and 0.5 to 0.8 Ma (Cores 3-6). Major coolings occurred at 5.0 to 5.1 Ma (Core 51), 3.9 to 4.4 Ma (Cores 38-44), and 1.0 to 1.3 Ma (Cores 8-10). The appearance of Dictyocha longa is proposed to replace the asperoid/fibuloid ratio reversal as the bottom of the Dictyocha fibula Zone, because the non-evolutionary ratio reverses several times in the upper Miocene of Hole 503A, and at least once in Hole 504. Three new Pliocene silicoflagellates are defined: Dictyocha concinna Bukry, n. sp., D. helix Bukry, n. sp., and D. tamarae Bukry, n. sp.
    Keywords: -; 69-504; Calculated; Counting, silicoflagellates; Deep Sea Drilling Project; DEPTH, sediment/rock; Dictyocha aculeata; Dictyocha angulata; Dictyocha aspera; Dictyocha aspera aspera; Dictyocha aspera clinata s. ampl.; Dictyocha brevispina; Dictyocha calida ampliata; Dictyocha calida calida; Dictyocha concavata; Dictyocha concinna; Dictyocha delicata; Dictyocha delicata var. bisecta; Dictyocha fibula s. ampl.; Dictyocha helix; Dictyocha longa; Dictyocha longa var. paxilla; Dictyocha neonautica var. cocosensis; Dictyocha ornata africana; Dictyocha perfecta; Dictyocha perlaevis; Dictyocha perlaevis flexatella; Dictyocha perlaevis perlaevis; Dictyocha perlaevis perlaevis s. ampl.; Dictyocha pulchella; Dictyocha sp.; Dictyocha spp.; Dictyocha stapedia aspinosa; Dictyocha stapedia stapedia; Dictyocha subaculeata; Dictyocha tamarae; Dictyocha transenna; Dictyocha varia; Dictyocha vexativa; Distephanus boliviensis; Distephanus crux bispinosus; Distephanus crux carolae; Distephanus crux crux s. ampl.; Distephanus major; Distephanus mesophthalmus; Distephanus polyactis; Distephanus quinquangellus; Distephanus sp.; Distephanus speculum bispicatus; Distephanus speculum elongatus; Distephanus speculum forma coronata; Distephanus speculum minutus; Distephanus speculum speculum; Distephanus speculum tenuis; Distephanus spp.; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Glomar Challenger; Leg69; Mesocena circulus; Mesocena diodon nodosa; Mesocena quadrangula; Mesocena sp.; Mesocena triodon; Octactis pulchra; Sample code/label; Silicoflagellate zone; Specimen count
    Type: Dataset
    Format: text/tab-separated-values, 3974 data points
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  • 92
    Publication Date: 2023-07-09
    Keywords: 71-513A; Anomalinoides spissiformis; Astrononion pusillum; Bolivinopsis cubensis; Bradynella subglobosa; Bulimina sp.; Chrysalogonium tenuicostatum; Cibicidoides floridanus; Cibicidoides haitiensis; Cibicidoides kullenbergi; Cibicidoides sp.; Cyclammina sp.; Deep Sea Drilling Project; Dorothia beloides; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eggerella bradyi; Ellipsodimorphina subcompacta; Epoch; Glomar Challenger; Guttulina adhaerens; Gyroidina girardana; Gyroidina neosoldanii; Gyroidina planulata; Gyroidina soldanii; Heterolepa sp.; Karreriella subglabra; Laticarinina pauperata; Leg71; Martinottiella antarctica; Martinottiella spp.; Nonion havanensis; Oridorsalis tenera; Oridorsalis umbonatus; Orthomorphina rohri; Pleurostomella alternans; Pleurostomella incrassata; Pleurostomella subnodosa; Pullenia bulloides; Pullenia quinqueloba; Pullenia subcarinata; Sample code/label; South Atlantic/FLANK; Spirolocammina exigua; Stilostomella bradyi; Stilostomella caribaea; Stilostomella curvatura; Stilostomella gracillima; Stilostomella nuttalli; Uvigerina hollicki
    Type: Dataset
    Format: text/tab-separated-values, 3870 data points
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  • 93
    Publication Date: 2023-07-09
    Keywords: 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 7; 8; 9; Aplanochytrium sp.; CO2BaseSleipner; Counting; Date/Time of event; DEPTH, water; Dermocystidium sp.; Event label; Fungi; Hyalochlorella; Labyrinthuloides sp.; Latitude of event; Limfjorden; Longitude of event; North Sea; Number of species; Oder Estuary; Salinity; Sample code/label; Schizochytrium aggregatum; Schizochytrium sp.; Temperature, water; Thraustochytrium aggregatum; Thraustochytrium kinnei; Thraustochytrium multirudimentale; Thraustochytrium pachydermum; Thraustochytrium roseum; Thraustochytrium sp.; Thraustochytrium striatum; Ulkenia minuta; Ulkenia visurgensis; VH_03_76_244-1; VH_03_76_245-1; VH_03_76_246-1; VH_03_76_247-1; VH_03_76_251-1; VH_03_76_252-1; VH_03_76_253-1; VH_03_76_254-1; VH_03_76_255-1; VH_03_76_256-1; VH_03_76_257-1; VH_03_76_258-1; VH_03_76_259-1; VH_03_76_260-1; VH_03_76_261-1; VH_03_76_262-1; VH_03_76_263-1; VH_03_76_264-1; VH_03_76_265-1; VH_03_76_266-1; VH_03_76_267-1; VH_03_76_268-1; VH_03_76_269-1; VH_03_76_270-1; VH_03_76_271-1; VH_03_76_272-1; VH_03_76_273-1; VH_03_76_274-1; VH_06_76_447-1; VH_06_76_448-1; VH_06_76_452-1; VH_06_76_453-1; VH_06_76_473-1; VH_06_76_474-1; VH_06_76_475-1; VH_06_76_476-1; VH_06_76_477-1; VH_06_76_478-1; VH_06_76_479-1; VH_06_76_480-1; VH_06_76_481-1; VH_06_76_482-1; VH_06_76_483-1; VH_06_76_484-1; VH_06_76_485-1; VH_06_76_486-1; VH_06_76_487-1; VH_06_76_488-1; VH_06_76_489-1; VH_06_76_490-1; VH_06_76_491-1; VH_06_76_492-1; VH_09_76_831-1; VH_09_76_832-1; VH_09_76_834-1; VH_09_76_835-1; VH_09_76_837-1; VH_09_76_838-1; VH_09_76_839-1; VH_09_76_840-1; VH_09_76_841-1; VH_09_76_842-1; VH_09_76_843-1; VH_09_76_844-1; VH_09_76_845-1; VH_09_76_846-1; VH_09_76_847-1; VH_09_76_848-1; VH_09_76_849-1; VH_09_76_850-1; VH_09_76_851-1; VH_09_76_852-1; VH_09_76_853-1; VH_09_76_854-1; VH_09_76_855-1; VH_09_76_856-1; VH_09_76_858-1; VH_10_75_376-1; VH_10_75_377-1; VH_10_75_378-1; VH_10_75_379-1; VH_10_75_380-1; VH_10_75_381-1; VH_10_75_382-1; VH_10_75_383-1; VH_10_75_384-1; VH_10_75_385-1; VH_10_75_386-1; VH_10_75_387-1; VH_10_75_388-1; VH_10_75_389-1; VH_10_75_390-1; VH_10_75_391-1; VH_10_75_392-1; VH_10_75_393-1; VH_10_75_394-1; VH_10_75_395-1; VH_10_75_396-1; VH_10_75_397-1; VH_10_75_398-1; VH_10_75_399-1; VH_10_75_400-1; VH_12_75_521-1; VH_12_75_522-1; VH_12_75_523-1; VH_12_75_524-1; VH_12_75_525-1; VH_12_75_526-1; VH_12_75_527-1; VH_12_75_528-1; VH_12_75_529-1; VH_12_75_530-1; VH_12_75_531-1; VH_12_75_532-1; VH0376; VH0676; VH0976; VH1075; VH1275; Victor Hensen; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 3178 data points
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  • 94
    Publication Date: 2023-07-09
    Keywords: 17; CO2BaseSleipner; 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_485-1; 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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  • 95
    Publication Date: 2023-07-09
    Keywords: 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 7; 8; 9; Aplanochytrium sp.; CO2BaseSleipner; Counting; Date/Time of event; DEPTH, sediment/rock; Dermocystidium sp.; Elevation of event; Event label; Fungi; Labyrinthuloides sp.; Latitude of event; Longitude of event; North Sea; Number of species; Sample code/label; Schizochytrium sp.; Thraustochytrium aggregatum; Thraustochytrium kinnei; Thraustochytrium multirudimentale; Thraustochytrium pachydermum; Thraustochytrium sp.; Ulkenia minuta; Ulkenia visurgensis; van Veen Grab; VGRAB; VH_03_76_244-2; VH_03_76_245-2; VH_03_76_246-2; VH_03_76_247-2; VH_03_76_251-2; VH_03_76_252-2; VH_03_76_253-2; VH_03_76_254-2; VH_03_76_255-2; VH_03_76_256-2; VH_03_76_257-2; VH_03_76_258-2; VH_03_76_259-2; VH_03_76_260-2; VH_03_76_261-2; VH_03_76_262-2; VH_03_76_263-2; VH_03_76_264-2; VH_03_76_265-2; VH_03_76_266-2; VH_03_76_268-2; VH_03_76_269-2; VH_03_76_270-2; VH_03_76_271-2; VH_03_76_272-2; VH_03_76_273-2; VH_03_76_274-2; VH_06_76_447-2; VH_06_76_448-2; VH_06_76_449-2; VH_06_76_452-2; VH_06_76_453-2; VH_06_76_473-2; VH_06_76_474-2; VH_06_76_475-2; VH_06_76_476-2; VH_06_76_477-2; VH_06_76_478-2; VH_06_76_479-2; VH_06_76_480-2; VH_06_76_481-2; VH_06_76_482-2; VH_06_76_483-2; VH_06_76_484-2; VH_06_76_485-2; VH_06_76_486-2; VH_06_76_487-2; VH_06_76_488-2; VH_06_76_489-2; VH_06_76_490-2; VH_06_76_491-2; VH_06_76_492-2; VH_09_76_831-2; VH_09_76_832-2; VH_09_76_834-2; VH_09_76_835-2; VH_09_76_837-2; VH_09_76_838-2; VH_09_76_839-2; VH_09_76_840-2; VH_09_76_841-2; VH_09_76_842-2; VH_09_76_843-2; VH_09_76_844-2; VH_09_76_845-2; VH_09_76_846-2; VH_09_76_847-2; VH_09_76_848-2; VH_09_76_849-2; VH_09_76_850-2; VH_09_76_851-2; VH_09_76_852-2; VH_09_76_853-2; VH_09_76_854-2; VH_09_76_855-2; VH_09_76_856-2; VH_09_76_858-2; VH_10_75_376-2; VH_10_75_377-2; VH_10_75_378-2; VH_10_75_380-2; VH_10_75_381-2; VH_10_75_382-2; VH_10_75_383-2; VH_10_75_384-2; VH_10_75_385-2; VH_10_75_386-2; VH_10_75_387-2; VH_10_75_388-2; VH_10_75_389-2; VH_10_75_390-2; VH_10_75_391-2; VH_10_75_392-2; VH_10_75_393-2; VH_10_75_394-2; VH_10_75_395-2; VH_10_75_396-2; VH_10_75_397-2; VH_10_75_399-2; VH_10_75_400-2; VH_12_75_521-2; VH_12_75_522-2; VH_12_75_523-2; VH_12_75_524-2; VH_12_75_525-2; VH_12_75_526-2; VH_12_75_527-2; VH_12_75_528-2; VH_12_75_529-2; VH_12_75_530-2; VH_12_75_531-2; VH_12_75_532-2; VH0376; VH0676; VH0976; VH1075; VH1275; Victor Hensen
    Type: Dataset
    Format: text/tab-separated-values, 2373 data points
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  • 96
    Publication Date: 2023-07-09
    Keywords: 72-515A; Cibicidoides kullenbergi; Deep Sea Drilling Project; Dentalina sp.; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epistominella exigua; Epistominella umbonifera; Fissurina sp.; Foraminifera, benthic indeterminata; Foraminifera, benthic δ13C; Foraminifera, benthic δ18O; Glomar Challenger; Gyroidina sp.; Lagena nebulosa; Leg72; Melonis pompilioides; Oridorsalis tener; Pullenia bulloides; Pyrgo sp.; Quinqueloculina sp.; Sample code/label; South Atlantic/BASIN; Uvigerina peregrina; δ13C, standard deviation; δ18O, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 125 data points
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  • 97
    Publication Date: 2023-07-09
    Keywords: 71-514; Alabaminella weddellensis; Alabaminoides exiguus; Archive of Ocean Data; ARCOD; Bradynella subglobosa; Cibicidoides wuellerstorfi; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eggerella bradyi; Eggerella sp.; Epoch; Glomar Challenger; Karreriella bradyi; Leg71; Martinottiella antarctica; Martinottiella occidentalis; Martinottiella sp.; Melonis affinis; Melonis barleeanus; Melonis pompilioides; Oridorsalis tener; Pullenia bulloides; Pullenia quinqueloba; Pullenia sp.; Pyrgo depressa; Pyrgo murrhina; Pyrgo sp.; Quinqueloculina sp.; Sample code/label; Smyrnella crassa; South Atlantic; Sphaeroidina bulloides; Spirolocammina exigua
    Type: Dataset
    Format: text/tab-separated-values, 3146 data points
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  • 98
    Publication Date: 2023-07-09
    Keywords: 72-518; Anomalinoides sp.; Bulimina rostrata; Cibicides spp.; Cibicidoides cicatricosus; Cibicidoides kullenbergi; Counting 〉150 µm fraction; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; Eggerella spp.; Ehrenbergina spp.; Epistominella exigua; Fissurina spp.; Globocassidulina subglobosa; Glomar Challenger; Gyroidinoides orbicularis; Gyroidinoides soldanii; Hoeglundina elegans; Karreriella spp.; Lagena spp.; Laticarinina pauperata; Leg72; Lenticulina spp.; Melonis pompilioides; Nonion spp.; Nummoloculina irregularis; Nuttallides umbonifera; Ophthalmidium acutimargo; Oridorsalis tener; Oridorsalis umbonatus; Osangularia culter; Parafissurina spp.; Planulina wuellerstorfi; Pullenia bulloides; Pullenia quinqueloba; Pullenia sp.; Pyrgo spp.; Quinqueloculina spp.; Quinqueloculina venusta; South Atlantic/CONT RISE; Sphaeroidina bulloides; Uvigerina peregrina
    Type: Dataset
    Format: text/tab-separated-values, 1190 data points
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  • 99
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    Unknown
    PANGAEA
    In:  Supplement to: Murdmaa, Ivar O; Avdeiko, G P (1980): Volcaniclastic constituents in the Leg 55 sediments. In: Jackson, ED; Koisumi, I; et al., (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 55, 503-505, https://doi.org/10.2973/dsdp.proc.55.119.1980
    Publication Date: 2023-07-07
    Description: This chapter was previously intended to trace volcanic episodes through the Neogene and Pleistocene geological history recorded in the sedimentary sections drilled on the Emperor seamounts. Drilling disturbance, poor core recovery, and incomplete stratigraphic sections recovered from the seamounts have frustrated that plan, however. Moreover, the Leg 55 sedimentologists found in their smear-slide studies that transported island-arc tephra is scarce in the sediments, if present at all. So we have restricted our objective to description of the volcaniclastic admixture in sediments, as determined by mineralogical and geochemical data. We studied geochemistry of bulk samples (see Murdmaa et al., 1980), coarse-fraction mineralogy, and additional smear slides. The results obtained, however, do not tell much more about the volcaniclastic matter than did shipboard core descriptions.
    Keywords: 55-430; 55-432; 55-433A; 55-433B; Apatite; Barite; Carbonates; Clinopyroxene; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Elevation of event; Epidote; Event label; Feldspar; Garnet; Glomar Challenger; Heavy minerals; Hornblende; Iron oxide; Latitude of event; Leg55; Light minerals; Longitude of event; North Pacific/SEAMOUNT; North Pacific/SEDIMENT POND; North Pacific/TERRACE; Opal, biogenic silica; Opaque minerals; Orthopyroxene; Plagioclase; Pyrite, FeS2; Quartz; Sample code/label; Smear slide analysis; Sphene; Volcanic glass; Zeolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 286 data points
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  • 100
    Publication Date: 2023-07-07
    Keywords: 52-418A; Aluminium oxide; Calcium oxide; Clinopyroxene; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Glomar Challenger; Iron oxide, FeO; Leg52; Magnesium oxide; Matrix; North Atlantic/CONT RISE; Olivine; Plagioclase; Potassium oxide; Sample code/label; Sample method; Silicon dioxide; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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