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  • 2020-2024  (165,232)
  • 1985-1989  (1,263,373)
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  • 1
    Publication Date: 2024-05-14
    Description: The thermokarst lakes of permafrost regions play a major role in the global carbon cycle. These lakes are sources of methane to the atmosphere although the methane flux is restricted by an ice cover for most of the year. How methane concentrations and fluxes in these waters are affected by the presence of an ice cover is poorly understood. To relate water body morphology, ice formation and methane to each other, we studied the ice of three different water bodies in locations typical of the transition of permafrost from land to ocean in a continuous permafrost coastal region in Siberia. In total, 11 ice cores were analyzed as records of the freezing process and methane composition during the winter season. The three water bodies differed in terms of connectivity to the sea, which affected fall freezing. The first was a bay underlain by submarine permafrost (Tiksi Bay, BY), the second a shallow thermokarst lagoon cut off from the sea in winter (Polar Fox Lagoon, LG) and the third a land-locked freshwater thermokarst lake (Goltsovoye Lake, LK). Ice on all water bodies was mostly methane-supersaturated with respect to atmospheric equilibrium concentration, except for three cores from the isolated lake. In the isolated thermokarst lake, ebullition from actively thawing basin slopes resulted in the localized integration of methane into winter ice. Stable δ13C-CH4 isotope signatures indicated that methane in the lagoon ice was oxidized to concentrations close to or below the calculated atmospheric equilibrium concentration. Increasing salinity during winter freezing led to a micro-environment on the lower ice surface where methane oxidation occurred and the lagoon ice functioned as a methane sink. In contrast, the ice of the coastal marine environment was slightly supersaturated with methane, consistent with the brackish water below. Our interdisciplinary process study shows how water body morphology affects ice formation which mitigates methane fluxes to the atmosphere.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 2
    Publication Date: 2024-05-14
    Description: Here we provide particle size and biovolume distribution data from an Underwater Vision Profiler 6, mounted on a BGC Argo Float with the WMO number 6903095. The float was deployed in a cyclonic eddy off Cape Columbine, South Africa on the 13 April 2021 close to the eddy center at 33.07 degree South, 13.89 degree East. Parking depth was set at 300 m and profiling depth initially to 600 m and later increased to 1000 m depth to maintain the float in the eddy. Profiling frequency was every three days. It stayed within this eddy for about five months and then operated East and Southeast of South Africa until it was deliberately picked up on the 17 September 2022 at 34.43 degrees South and 10.21 degrees East.
    Keywords: 0000a_WMO6903095; 0000p_WMO6903095; 0001a_WMO6903095; 0001p_WMO6903095; 0002a_WMO6903095; 0002p_WMO6903095; 0003a_WMO6903095; 0003p_WMO6903095; 0004a_WMO6903095; 0004p_WMO6903095; 0005a_WMO6903095; 0005p_WMO6903095; 0006a_WMO6903095; 0006p_WMO6903095; 0007a_WMO6903095; 0007p_WMO6903095; 0008a_WMO6903095; 0008p_WMO6903095; 0009a_WMO6903095; 0009p_WMO6903095; 0010a_WMO6903095; 0010p_WMO6903095; 0011a_WMO6903095; 0011p_WMO6903095; 0012a_WMO6903095; 0012p_WMO6903095; 0013a_WMO6903095; 0013p_WMO6903095; 0014a_WMO6903095; 0014p_WMO6903095; 0015a_WMO6903095; 0015p_WMO6903095; 0016a_WMO6903095; 0016p_WMO6903095; 0017a_WMO6903095; 0017p_WMO6903095; 0018a_WMO6903095; 0018p_WMO6903095; 0019a_WMO6903095; 0019p_WMO6903095; 0020a_WMO6903095; 0020p_WMO6903095; 0021a_WMO6903095; 0021p_WMO6903095; 0022a_WMO6903095; 0022p_WMO6903095; 0023a_WMO6903095; 0023p_WMO6903095; 0024a_WMO6903095; 0024p_WMO6903095; 0025a_WMO6903095; 0025p_WMO6903095; 0026a_WMO6903095; 0026p_WMO6903095; 0027a_WMO6903095; 0027p_WMO6903095; 0028a_WMO6903095; 0028p_WMO6903095; 0029a_WMO6903095; 0029p_WMO6903095; 0030a_WMO6903095; 0030p_WMO6903095; 0031a_WMO6903095; 0031p_WMO6903095; 0032a_WMO6903095; 0032p_WMO6903095; 0033a_WMO6903095; 0033p_WMO6903095; 0034a_WMO6903095; 0034p_WMO6903095; 0035a_WMO6903095; 0035p_WMO6903095; 0036a_WMO6903095; 0036p_WMO6903095; 0037a_WMO6903095; 0037p_WMO6903095; 0038a_WMO6903095; 0038p_WMO6903095; 0039a_WMO6903095; 0039p_WMO6903095; 0040a_WMO6903095; 0040p_WMO6903095; 0041a_WMO6903095; 0041p_WMO6903095; 0042a_WMO6903095; 0042p_WMO6903095; 0043a_WMO6903095; 0043p_WMO6903095; 0044a_WMO6903095; 0044p_WMO6903095; 0045a_WMO6903095; 0045p_WMO6903095; 0046a_WMO6903095; 0046p_WMO6903095; 0047a_WMO6903095; 0047p_WMO6903095; 0048a_WMO6903095; 0048p_WMO6903095; 0049a_WMO6903095; 0049p_WMO6903095; 0050a_WMO6903095; 0050p_WMO6903095; 0051a_WMO6903095; 0051p_WMO6903095; 0052a_WMO6903095; 0052p_WMO6903095; 0053a_WMO6903095; 0053p_WMO6903095; 0054a_WMO6903095; 0054p_WMO6903095; 0055a_WMO6903095; 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0111p_WMO6903095; 0112a_WMO6903095; 0112p_WMO6903095; 0113a_WMO6903095; 0113p_WMO6903095; 0114a_WMO6903095; 0114p_WMO6903095; 0115a_WMO6903095; 0115p_WMO6903095; 0116a_WMO6903095; 0116p_WMO6903095; 0117a_WMO6903095; 0117p_WMO6903095; 0118a_WMO6903095; 0118p_WMO6903095; 0119a_WMO6903095; 0119p_WMO6903095; 0120a_WMO6903095; 0120p_WMO6903095; 0121a_WMO6903095; 0121p_WMO6903095; 0122a_WMO6903095; 0122p_WMO6903095; 0123a_WMO6903095; 0123p_WMO6903095; 0124a_WMO6903095; 0124p_WMO6903095; 0125a_WMO6903095; 0125p_WMO6903095; 0126a_WMO6903095; 0126p_WMO6903095; 0127a_WMO6903095; 0127p_WMO6903095; 0128a_WMO6903095; 0128p_WMO6903095; 0129a_WMO6903095; 0129p_WMO6903095; 0130a_WMO6903095; 0130p_WMO6903095; 0131a_WMO6903095; 0131p_WMO6903095; 0132a_WMO6903095; 0132p_WMO6903095; 0133a_WMO6903095; 0133p_WMO6903095; 0134a_WMO6903095; 0134p_WMO6903095; 0135a_WMO6903095; 0135p_WMO6903095; 0136a_WMO6903095; 0136p_WMO6903095; 0137a_WMO6903095; 0137p_WMO6903095; 0138a_WMO6903095; 0138p_WMO6903095; 0139a_WMO6903095; 0139p_WMO6903095; 0140a_WMO6903095; 0140p_WMO6903095; 0141a_WMO6903095; 0141p_WMO6903095; 0142a_WMO6903095; 0142p_WMO6903095; 0143a_WMO6903095; 0143p_WMO6903095; 0144a_WMO6903095; 0144p_WMO6903095; 0145a_WMO6903095; 0145p_WMO6903095; 0146a_WMO6903095; 0146p_WMO6903095; 0147a_WMO6903095; 0147p_WMO6903095; 0148a_WMO6903095; 0148p_WMO6903095; 0149a_WMO6903095; 0149p_WMO6903095; 0150a_WMO6903095; 0150p_WMO6903095; 0151a_WMO6903095; 0151p_WMO6903095; 0152a_WMO6903095; 0152p_WMO6903095; 0153a_WMO6903095; 0153p_WMO6903095; 0154a_WMO6903095; 0154p_WMO6903095; 0155a_WMO6903095; 0155p_WMO6903095; 0156a_WMO6903095; 0156p_WMO6903095; 0157a_WMO6903095; 0157p_WMO6903095; 0158a_WMO6903095; 0158p_WMO6903095; 0159a_WMO6903095; 0159p_WMO6903095; 0160a_WMO6903095; 0160p_WMO6903095; 0161a_WMO6903095; 0161p_WMO6903095; 0162a_WMO6903095; 0162p_WMO6903095; 0163a_WMO6903095; 0163p_WMO6903095; 0164a_WMO6903095; 0164p_WMO6903095; 0165a_WMO6903095; 0165p_WMO6903095; 0166a_WMO6903095; 0166p_WMO6903095; 0167a_WMO6903095; 0167p_WMO6903095; 0168a_WMO6903095; 0168p_WMO6903095; 0169a_WMO6903095; 0169p_WMO6903095; 0170a_WMO6903095; 0170p_WMO6903095; 0171a_WMO6903095; 0171p_WMO6903095; 0172a_WMO6903095; 0172p_WMO6903095; 0173a_WMO6903095; 0173p_WMO6903095; 0174a_WMO6903095; 0174p_WMO6903095; 0175a_WMO6903095; 0175p_WMO6903095; 0176a_WMO6903095; 0176p_WMO6903095; 0177a_WMO6903095; 0177p_WMO6903095; 0178a_WMO6903095; 0178p_WMO6903095; 0179a_WMO6903095; 0179p_WMO6903095; 0180a_WMO6903095; 0180p_WMO6903095; 0181a_WMO6903095; 0181p_WMO6903095; 0182a_WMO6903095; 0182p_WMO6903095; 0183a_WMO6903095; 0183p_WMO6903095; ARGOFL; Argo float; Biovolume; DATE/TIME; Event label; in situ imaging; LATITUDE; LONGITUDE; MOPGA-TAD; Particle concentration, fractionated; particle distribution; Pressure, water; Sample code/label; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts; Volume
    Type: Dataset
    Format: text/tab-separated-values, 2518238 data points
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  • 3
    Publication Date: 2024-05-13
    Description: This paper positions possibilities for human geographies of the sea. The growing volume of work under this banner has been largely qualitative in its approach, reflecting, in turn, the questions posed by oceanic scholars. These questions necessitate corresponding methods. Whilst this is not necessarily a problem, and the current corpus of work has offered many significant contributions, in making sense of the human dimensions of maritime worlds, other questions—and methods—may generate knowledge that is useful within this remit of work. This paper considers the place of quantitative approaches in posing lines of enquiry about shipping, one of the prominent areas of concern under the banner of ‘human geographies of the seas’. There is longstanding work in transport geographies concerned with shipping, logistics, freight movement and global connections, which embraces quantitative methods which could be bridged to ask fresh questions about oceanic spatial phenomena past and present. This paper reviews the state of the art of human geographies of the sea and transport geographies and navigates how the former field may be stimulated by some of the interests of the latter and a broader range of questions about society-sea-space relations. The paper focuses on Automatic Identification Systems (or AIS) as a potentially useful tool for connecting debates, and deepening spatial understandings of the seas and shipping beyond current scholarship. To advance the argument the example of shipping layups is used to illustrate or rather, position, the point.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 4
    facet.materialart.
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    Springer
    In:  EPIC3Polar Night Marine Ecology_ Life and Light in the Dead of Night, Advances in Polar Ecology, Switzerland, Springer, pp. 217-240, ISBN: 978-3-030-33208-2
    Publication Date: 2024-05-13
    Description: Biological clocks are universal to all living organisms on Earth. Their ubiquity is testament to their importance to life: from cells to organs and from the simplest cyanobacteria to plants and primates, they are central to orchestrating life on this planet. Biological clocks are usually set by the day–night cycle, so what happens in polar regions during the Polar Night or Polar Day when there are periods of 24! hours of darkness or light? How would a biological clock function without a timekeeper!cycle? This chapter details evidence that biological clocks are central to structuring daily and seasonal activities in organisms at high latitudes. Importantly, despite a strongly reduced or absent day–night cycle, biological clocks in the Polar Night still appear to be regulated by background illumination. Here we explore evidence for highly cyclic activity, from behaviour patterns to clock gene expression, in copepods, krill and bivalves. The ultimate goal will be to understand the role of endogenous clocks in driving important daily and seasonal life cycle functions and to determine scope for plasticity in a rapidly changing environment.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
    Format: application/pdf
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  • 5
    facet.materialart.
    Unknown
    Springer International Publishing
    In:  EPIC3Springer International Publishing, 4, pp. 217-240, ISBN: 9783030332075
    Publication Date: 2024-05-13
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
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  • 6
    Publication Date: 2024-05-13
    Description: This paper positions possibilities for human geographies of the sea. The growing volume of work under this banner has been largely qualitative in its approach, reflecting, in turn, the questions posed by oceanic scholars. These questions necessitate corresponding methods. Whilst this is not necessarily a problem, and the current corpus of work has offered many significant contributions, in making sense of the human dimensions of maritime worlds, other questions—and methods—may generate knowledge that is useful within this remit of work. This paper considers the place of quantitative approaches in posing lines of enquiry about shipping, one of the prominent areas of concern under the banner of ‘human geographies of the seas’. There is longstanding work in transport geographies concerned with shipping, logistics, freight movement and global connections, which embraces quantitative methods which could be bridged to ask fresh questions about oceanic spatial phenomena past and present. This paper reviews the state of the art of human geographies of the sea and transport geographies and navigates how the former field may be stimulated by some of the interests of the latter and a broader range of questions about society-sea-space relations. The paper focuses on Automatic Identification Systems (or AIS) as a potentially useful tool for connecting debates, and deepening spatial understandings of the seas and shipping beyond current scholarship. To advance the argument the example of shipping layups is used to illustrate or rather, position, the point.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 7
    Publication Date: 2024-05-13
    Description: 〈jats:p〉Central Arctic properties and processes are important to the regional and global coupled climate system. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Distributed Network (DN) of autonomous ice-tethered systems aimed to bridge gaps in our understanding of temporal and spatial scales, in particular with respect to the resolution of Earth system models. By characterizing variability around local measurements made at a Central Observatory, the DN covers both the coupled system interactions involving the ocean-ice-atmosphere interfaces as well as three-dimensional processes in the ocean, sea ice, and atmosphere. The more than 200 autonomous instruments (“buoys”) were of varying complexity and set up at different sites mostly within 50 km of the Central Observatory. During an exemplary midwinter month, the DN observations captured the spatial variability of atmospheric processes on sub-monthly time scales, but less so for monthly means. They show significant variability in snow depth and ice thickness, and provide a temporally and spatially resolved characterization of ice motion and deformation, showing coherency at the DN scale but less at smaller spatial scales. Ocean data show the background gradient across the DN as well as spatially dependent time variability due to local mixed layer sub-mesoscale and mesoscale processes, influenced by a variable ice cover. The second case (May–June 2020) illustrates the utility of the DN during the absence of manually obtained data by providing continuity of physical and biological observations during this key transitional period. We show examples of synergies between the extensive MOSAiC remote sensing observations and numerical modeling, such as estimating the skill of ice drift forecasts and evaluating coupled system modeling. The MOSAiC DN has been proven to enable analysis of local to mesoscale processes in the coupled atmosphere-ice-ocean system and has the potential to improve model parameterizations of important, unresolved processes in the future.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
    Publication Date: 2024-05-13
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: contributiontoperiodical , doc-type:contributionToPeriodical
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  • 9
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    Unknown
    Marburg : Metropolis-Verlag
    Publication Date: 2024-05-13
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: bookpart , doc-type:bookPart
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  • 10
    Publication Date: 2024-05-13
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: contributiontoperiodical , doc-type:contributionToPeriodical
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  • 11
    facet.materialart.
    Unknown
    Marburg : Metropolis-Verlag
    Publication Date: 2024-05-13
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
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  • 12
    Publication Date: 2024-05-13
    Description: The steel and chemical production industries are the largest industrial emitters of greenhouse gases in the European Union, together accounting for half of the EU’s industrial greenhouse gas (GHG) emissions. A promising strategy for achieving deep GHG emissions reductions is the electrification of these two industries, which would depend on the rapid expansion of renewable electricity supply. Such electrification can be direct, where electrical appliances replace fossil fuel powered ones, or indirect, using renewable hydrogen produced from water by electricity. Both methods of electrification represent a systemic shift for these industrial systems and require a major wave of investment into new process technologies, as well as access to renewable electricity and green hydrogen. Old industrial structures could become stranded as a consequence of shifting energy and feedstock supply in this way. The thesis focuses geographically on the major region for EU steel and chemical production: the area between the two North Sea ports of Antwerp and Rotterdam in the west and the Rhine-Ruhr area in the east. It studies the technical and economic feasibility of electrification in the steel and chemical production industries (specifically petrochemicals), followed by an analysis of the impact on locational factors and possible spatial reconfigurations of the production system. The analysis builds on scenario methodology with extensive stakeholder engagement and uses different quantitative bottom-up models developed during several projects. To accelerate and facilitate the transformation of the two focal industries in the region, the thesis identifies strategic options for policy makers, steel and petrochemical companies, as well as for infrastructure providers such as port authorities and network operators. The results obtained demonstrate the feasibility of electrification and its potential to play a crucial role in the defossilised production of steel and petrochemicals, even in a region with a relatively low renewable electricity potential (such as the one studied). The transformation requires a hydrogen infrastructure for steel and petrochemical clusters and increased circularity, especially in the petrochemical industry. Some production steps in the value chain, such as iron making or chemical feedstock production, will have strong incentives to relocate (either partially or fully). However, other factors, such as the benefits of existing assets and the advantages of vertical integration in existing clusters, may discourage the total relocation of entire production chains.
    Keywords: ddc:600
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: doctoralthesis , doc-type:doctoralThesis
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  • 13
    Publication Date: 2024-05-13
    Description: Energy performance contracting (EPC) as a market instrument has been effective in promoting energy efficiency worldwide, but it has encountered many insurmountable obstacles in rural energy management. In this study, based on the characteristics of energy management in rural areas, three EPC modes are designed and tested in 24,000 rural households. The test results show that two adapted EPC modes of local government involvement and energy payment directly from the national grid can effectively overcome the barriers encountered in the traditional EPC modes and work well under the economic and social environmental conditions in rural areas. The key to the adaptation of the traditional EPC modes is the introduction of the local government as the third party. Participation of the third party can effectively reduce and remove the barriers and risks and increase the mutual trust between the clients (households) and the energy service companies (ESCOs). Based on the testing results, this study suggests that governmental departments should formulate relevant EPC policies and technical guidelines within the rural context. This research recommends that farmers should not manage their energy services by themselves and it is suggested to out-contracting ESCOs by applying the modes developed and tested by this paper.
    Keywords: ddc:330
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: article , doc-type:article
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  • 14
    Publication Date: 2024-05-13
    Description: In Germany, there are over 32,000 schools, representing great potential for climate protection. On the one hand, this applies to educational work, as understanding the effects of climate change and measures to reduce GHG emissions is an important step to empower students with knowledge and skills. On the other hand, school buildings are often in bad condition, energy is wasted, and the possibilities for using renewable energies are hardly used. In our "Schools4Future" project, we enabled students and teachers to draw up their own CO2 balances, identify weaknesses in the building, detect wasted electricity, and determine the potential for using renewable energies. Emissions from the school cafeteria, school trips, and paper consumption could also be identified. The fact that the data can be collected by the students themselves provides increased awareness of the contribution made to the climate balance by the various school areas. The most climate-friendly school emits 297 kg whilst the school with the highest emissions emits over one ton CO2 per student and year. Our approach is suitable to qualify students in the sense of citizen science, carry out a scientific investigation, experience self-efficacy through one's own actions, and engage politically regarding their concerns.
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: article , doc-type:article
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  • 15
    Publication Date: 2024-05-13
    Description: Agriculture is a major sector responsible for greenhouse gas emissions. Local food production can contribute to reducing transport-related emissions. Since most of the worldwide population lives in cities, locally producing food implies practicing agriculture in urban and peri-urban areas. Exemplary, we analyze the potential to produce fresh vegetables within Berlin, Germany. We investigate the spatial extent of five different urban spaces for soil-based agriculture or gardening, i.e., non-built residential areas, allotment gardens, rooftops, supermarket parking lots, and cemeteries. We also quantify inputs required for such food production in terms of water, human resources, and investment. Our findings highlight that up to 82% of Berlin’s vegetable demand could be produced within the city, based on a reasonable validation of existing areas. Meeting this potential requires 42 km2 of urban spaces for cultivation, a considerable amount of irrigation water, around 17 thousand gardeners, and over 750 million EUR of initial investments. The final vegetable cost would be around 2 EUR to 10 EUR per kg without any profit margin. We conclude that it is realistic to produce a significant amount of Berlin's vegetable demand within the city, even if it comes with great challenges.
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: article , doc-type:article
    Format: application/pdf
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  • 16
    Publication Date: 2024-05-13
    Description: Eine neue digital-ökologische Staatskunst ist die unverzichtbare Voraussetzung für wirksames staatliches Handeln zur sozial-ökologischen Gestaltung der digitalen Transformation. Der Bericht beschreibt am Beispiel der Plattformökonomie die Herausforderungen, Ansatzpunkte und mögliche Maßnahmen.
    Keywords: ddc:600
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: report , doc-type:report
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  • 17
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    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Description: This is a compilation of all short-wave and long-wave radiation datasets from Sonnblick that were and are published in the frame of BSRN. New data will be added regularly. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Keywords: Austria; Baseline Surface Radiation Network; BSRN; Monitoring station; MONS; SON; Sonnblick
    Type: Dataset
    Format: application/zip, 154 datasets
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  • 18
    Publication Date: 2024-05-13
    Description: Snow height was measured by the Snow Depth Buoy 2018S78, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 16 September 2018 and 16 February 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S78, WMO-ID 2501653; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; TICE/8_2018S78; Transdrift-XXIV
    Type: Dataset
    Format: text/tab-separated-values, 46680 data points
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  • 19
    Publication Date: 2024-05-13
    Description: This bibliography unites the individual data collected by different types of autonomous platforms deployed during MOSAiC in 2019/2020.
    Keywords: Atmosphere; autonomous platform; distributed network; drift; MOSAiC; MOSAiC_ATMOS; MOSAiC_ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oceans; Sea ice; snow
    Type: Dataset
    Format: 71 datasets
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  • 20
    Publication Date: 2024-05-13
    Description: The ²³⁴Th-²³⁸U radioactive pair has been extensively used to evaluate the efficiency with which photosyntetically fixed carbon is exported from the surface ocean by means of the biological pump since the 90's. The seminal work of Buesseler et al. (1992) proposed that particulate organic carbon (POC) flux can be indirectly calculated from ²³⁴Th distributions if the ratio of POC to ²³⁴Th measured on sinking particles (POC:²³⁴Th) at the desired export depth is known. Since then, a huge amount of ²³⁴Th depth profiles have been collected using a variety of sampling instruments and strategies that have changed along years. This is a global oceanic compilation of ²³⁴Th measurements, that collects results from innumerable researchers and laboratories over a period exceeding 50 years. The present compilation is made of a total 223 datasets: 214 from studies published either in articles in referred journals, PhD thesis or repositories, and 9 unpublished datasets. Including measurements from JGOFS, VERTIGO and GEOTRACES programs, with sampling from approximately 5000 locations spanning all the oceans. The compilation includes total ²³⁴Th profiles, dissolved and particulate ²³⁴Th concentrations, and POC:²³⁴Th ratios (both from pumps and sediment traps) for two sizes classes (1-53 μm and 〈 53 μm) when available. Appropriate metadata have been included, including geographic location, date, and sample depth, among others. When available, we also include water temperature, salinity, ²³⁸U data and particulate organic nitrogen data. Data sources and methods information (including ²³⁸U and ²³⁴Th) are also detailed along with valuable information for future data analysis such as bloom stage and steady/non-steady state conditions at the sampling moment. This undertaking is a treasure of data to understand and quantify how oceanic carbon cycle functions and how it will change in future. The compilation can be downloaded in three different ways: 1) A single merged file including all the individual excel files. This option can be accessed under "Other version: More than 50 years of Th-234 data: a comprehensive global oceanic compilation (single xlsx file)". 2) A summary table that includes details from cruise, sampling dates, techniques applied, authors and DOI of the compiled ²³⁴Th data, among others, each line corresponds to a specific dataset. The table can be accessed by clicking ""View dataset as HTML" and downloaded in "Download dataset as tab-delimited text". 3) Individual Excel files for each dataset can be manually chosen from the summary table, corresponding to the complete ²³⁴Th dataset and metadata from a specific publication or program. This option is available by clicking "View dataset as HTML". Furthermore, all files referred to can be downloaded in one go as ZIP or TAR.
    Keywords: 234Th; Author(s); Binary Object; biological carbon pump; Carbon, organic, particulate/Thorium-234 ratio; carbon export; Chief scientist(s); Cruise/expedition; DATE/TIME; ELEVATION; Gear; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; JGOFS; Joint Global Ocean Flux Study; Journal/report title; LATITUDE; LONGITUDE; Multiple cruises/expeditions; Ocean; Ocean and sea region; Period; POC flux; Project; Reference of data; Thorium-234, dissolved; Thorium-234, particulate; Thorium-234, total; Uniform resource locator/link to reference; Uranium-238; Vessel; Year of publication
    Type: Dataset
    Format: text/tab-separated-values, 4056 data points
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  • 21
    Publication Date: 2024-05-13
    Description: Ocean Alkalinity Enhancement (OAE) could augment long-term carbon storage and mitigate ocean acidification by increasing the bicarbonate ion concentration in ocean water. However, the side effects and/or potential co-benefits of OAE on natural planktonic communities remain poorly understood. To address this knowledge gap, 9 mesocosms were deployed in the oligotrophic waters of Gran Canaria, from September 14th to October 16th, 2021. A CO2-equilibrated Total Alkalinity (TA) gradient was employed in increments of 300 µmol·L-1, ranging from ~2400 to ~4800 µmol·L-1. The carbonate chemistry conditions in terms of TA and Dissolved Inorganic Carbon (DIC), which were then used to calculate pCO2 and pH, and the nitrate+nitrite, phosphate and silicate concentrations were measured every two days over the course of the 33-day experiment alongside the following biotic parameters. Net Community Production (NCP), Gross Production (GP), Community Respiration (CR) rates, as well as the metabolic balance (GP:CR), were monitored every two days through oxygen production and consumption using the winkler method. Fractionated 14C uptake and chlorophyll a were also determined every four days although, initially, the total PO14C and DO14C production were also measured every 4 days, in between, up to day 13. Finally, flow cytometry was also carried out every two days and synecococcus, picoeukaryote and nanophytoplankton abundances were obtained. No damaging effect of CO2-equilibrated OAE in the range applied here, on phytoplankton primary production, community metabolism and composition could be inferred from our results. In fact, a potential co-benefit to OAE was observed in the form of the positive curvilinear response to the DIC gradient up to the ∆TA1800 treatment. Further experimental research at this scale is key to gain a better understanding of the short and long-term effects of OAE on planktonic communities.
    Keywords: 14C-DOC; 14C-POC; 14C uptake; AQUACOSM; Canarias Sea; Chlorophyll a, total; chlorophyll-a concentration; Chlorophyll a microplankton; Chlorophyll a nanoplankton; Chlorophyll a picoplankton; DATE/TIME; Day of experiment; Depth, water, experiment, bottom/maximum; Depth, water, experiment, top/minimum; Event label; Extracellular release; Field experiment; flow cytometry; Flow cytometry; Gross community production/respiration rate, oxygen, ratio; Gross community production of oxygen; Identification; KOSMOS_2021; KOSMOS_2021_Mesocosm-M1; KOSMOS_2021_Mesocosm-M2; KOSMOS_2021_Mesocosm-M3; KOSMOS_2021_Mesocosm-M4; KOSMOS_2021_Mesocosm-M5; KOSMOS_2021_Mesocosm-M6; KOSMOS_2021_Mesocosm-M7; KOSMOS_2021_Mesocosm-M8; KOSMOS_2021_Mesocosm-M9; KOSMOS Gran Canaria; MESO; mesocosm experiment; Mesocosm experiment; Mesocosm label; Nanoeukaryotes; Net community production of oxygen; Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean; Ocean-based Negative Emission Technologies; OceanNETs; Picoeukaryotes; primary production; Primary production of carbon, organic, dissolved; Primary production of carbon, organic, particulate; Primary production of carbon, organic, total; Respiration rate, oxygen, community; Synechococcus; Treatment: alkalinity, total; Type of study; Winkler oxygen
    Type: Dataset
    Format: text/tab-separated-values, 3828 data points
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  • 22
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    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 100392, WRMC No. 75026; Pyranometer, Kipp & Zonen, CMP21, SN 140386, WRMC No. 75027; Pyrgeometer, Kipp & Zonen, CGR4, SN 060004, WRMC No. 75028; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75025; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 800857 data points
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  • 23
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 100392, WRMC No. 75026; Pyranometer, Kipp & Zonen, CMP21, SN 140386, WRMC No. 75027; Pyrgeometer, Kipp & Zonen, CGR4, SN 060004, WRMC No. 75028; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75025; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 762143 data points
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  • 24
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 100392, WRMC No. 75026; Pyranometer, Kipp & Zonen, CMP21, SN 140386, WRMC No. 75027; Pyrgeometer, Kipp & Zonen, CGR4, SN 060004, WRMC No. 75028; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75025; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 800619 data points
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  • 25
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 100392, WRMC No. 75026; Pyranometer, Kipp & Zonen, CMP21, SN 140386, WRMC No. 75027; Pyrgeometer, Kipp & Zonen, CGR4, SN 060004, WRMC No. 75028; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75025; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 786059 data points
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  • 26
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 100392, WRMC No. 75026; Pyranometer, Kipp & Zonen, CMP21, SN 140386, WRMC No. 75027; Pyrgeometer, Kipp & Zonen, CGR4, SN 060004, WRMC No. 75028; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75025; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 813058 data points
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  • 27
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 100392, WRMC No. 75026; Pyranometer, Kipp & Zonen, CMP21, SN 140386, WRMC No. 75027; Pyrgeometer, Kipp & Zonen, CGR4, SN 060004, WRMC No. 75028; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75025; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819243 data points
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  • 28
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090220, WRMC No. 75031; Pyranometer, Kipp & Zonen, CMP21, SN 090221, WRMC No. 75030; Pyrgeometer, Kipp & Zonen, CGR4, SN 110354, WRMC No. 75032; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75029; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 813541 data points
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  • 29
    Publication Date: 2024-05-13
    Keywords: 165-1000A; 165-999A; AGE; Caribbean Sea; Coiling direction; Comment; developmental plasticity; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; environmental change; Event label; fossil record; Imaging technique; Joides Resolution; Leg165; Number of chambers; Ocean Drilling Program; ODP; planktic foraminifera; Sample code/label; speciation; Specimen number; Synchrotron X-ray microtomography; Test size
    Type: Dataset
    Format: text/tab-separated-values, 461 data points
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  • 30
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090220, WRMC No. 75031; Pyranometer, Kipp & Zonen, CMP21, SN 090221, WRMC No. 75030; Pyrgeometer, Kipp & Zonen, CGR4, SN 110354, WRMC No. 75032; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75029; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 780551 data points
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  • 31
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090220, WRMC No. 75031; Pyranometer, Kipp & Zonen, CMP21, SN 090221, WRMC No. 75030; Pyrgeometer, Kipp & Zonen, CGR4, SN 110354, WRMC No. 75032; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75029; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 830231 data points
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  • 32
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090220, WRMC No. 75031; Pyranometer, Kipp & Zonen, CMP21, SN 090221, WRMC No. 75030; Pyrgeometer, Kipp & Zonen, CGR4, SN 110354, WRMC No. 75032; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75029; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 824807 data points
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  • 33
    Publication Date: 2024-05-13
    Description: Two Fe-Mn bottle amendment experiments with two natural phytoplankton communities were performed during Polarstern expedition PS97 in 2016 in the Drake Passage. At two locations, sea water was pumped (using trace metals clean techniques) from 25m depth and used to fill polycarbonate bottles after having passed through a cleaned 200 μm mesh (removing large grazers). The Control treatment was the sampled seawater without any trace metals addition while the other three treatments were enriched with either FeCl3 alone (0.5 nM; +Fe treatment) or MnCl2 alone (1 nM; +Mn treatment) or both trace metals together (+FeMn treatment). All treatments were done in triplicate 2,5L PC bottles. All incubation bottles were maintained at 30 μmol photons m-2 s-1 under a 16:8 (light:dark) hour cycle at 1 ̊C. Autotrophic picoeukaryotes were analyzed via flow cytometry. At the start and the end of the experiments, samples were preserved with 10% buffered formalin, flash-frozen in liquid nitrogen, and analyzed flow cytometrically to assess picoplankton densities. Before running the samples, 2 μL beads (Sperotech - Rainbow Fluorescent Particles (RFPs) - 2.11 μm) were added to each treatment as a size and fluorescence reference. Then picoeukaryotes were identified based on side scatter versus FL-3. Three P subgroups (0.2 – 2 μm) were differentiated according to their size : small (P1), medium (P2) and large (P3), according to sub-cluster of events.
    Keywords: ANT-XXXI/3; co-limitation; Drake Passage; Event label; Experiment; Experimental treatment; Flow cytometry; Incubation duration; Membrane pump; MP; Phytoplankton composition; Picoeukaryotes; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS97; PS97/043-1; PS97/087-4; Scotia Sea; Southern Ocean; SPP1158; trace elements
    Type: Dataset
    Format: text/tab-separated-values, 298 data points
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  • 34
    Publication Date: 2024-05-13
    Description: For determination of the cellular trace metal content, at the end of the experiment 400 mL of water were filtered onto 0.2 μm TMC-cleaned polycarbonate filters (EMD Millipore, Darmstadt, Germany) and then rinsed for 15 min with a 0.1 M oxalic acid wash to remove cell surface bound trace metals. Finally, the filters were rinsed with filtered seawater and stored in 5 mL TMC polyfluoralkoxy vials until further analysis. Samples were analyzed with an inductively coupled plasma mass spectrometry (ICP-MS) following a digestion with nitric acid (HNO3) and HF.
    Keywords: ANT-XXXIII/3; carbon fixation; Drake Passage; Fe:C ratio; growth; ICP-MS; Inductively coupled plasma mass spectrometry; In situ pump; iron; Iron, cellular quota; ISP; manganese; Manganese, cellular quota; photophysiology; Phytoplankton; Polarstern; PS112; PS112_26-1; Southern Ocean; Trace metal; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
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  • 35
    Publication Date: 2024-05-13
    Description: Chlorophyll a fluorescence measurements were performed using a Fast Repetition Rate fluorometer (FRRf) coupled to a FastAct Laboratory system (FastOcean PTX, both from Chelsea Technologies Group at the start and the end of the experiment. The excitation wavelengths of the fluorometer's LEDs were 450 nm, 530 nm and 624 nm and the light intensity was automatically adjusted between 0.66–1.2 x 1022 photons m-2 s-1. The parameters were determined after 10 min of dark acclimation.
    Keywords: ANT-XXXIII/3; carbon fixation; Connectivity between photosystem II; Connectivity between photosystem II, standard deviation; Drake Passage; Electron transport rate of photosystem II, per cell; Electron transport rate of photosystem II, standard deviation; Fe:C ratio; Functional absorption cross sections of photosystem II reaction centers; Functional photosystem II reaction centers; Functional photosystem II reaction centers, standard deviation; growth; In situ pump; iron; ISP; Light saturation point; Light saturation point, standard deviation; manganese; Maximum light utilization efficiency; Maximum light utilization efficiency, standard deviation; Photochemical quantum yield; Photochemical quantum yield, standard deviation; photophysiology; Phytoplankton; Polarstern; PS112; PS112_26-1; Southern Ocean; Time constant for electron transfer at Photosystem II; Time constant for electron transfer at Photosystem II, standard deviation; Trace metal; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 68 data points
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  • 36
    facet.materialart.
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75034; Pyranometer, Hukseflux, SR30, SN 6354, WRMC No. 75035; Pyrgeometer, Kipp & Zonen, CGR4, SN 120499, WRMC No. 75036; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75033; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 804414 data points
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  • 37
    facet.materialart.
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 6353, WRMC No. 75037; Pyranometer, Hukseflux, SR30, SN 6354, WRMC No. 75035; Pyrgeometer, Kipp & Zonen, CGR4, SN 120499, WRMC No. 75036; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75033; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 838613 data points
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  • 38
    facet.materialart.
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 2302, WRMC No. 75040; Pyranometer, Hukseflux, SR30, SN 6355, WRMC No. 75039; Pyrgeometer, Kipp & Zonen, CGR4, SN 100175, WRMC No. 75041; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75038; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 836585 data points
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  • 39
    Publication Date: 2024-05-13
    Keywords: 339-U1387A; 339-U1387C; AGE; benthic foraminiferal stable isotopes; Depth, composite, corrected; Depth, composite top; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Exp339; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Joides Resolution; Mediterranean Outflow; nannofossil; Nannofossils, warm water taxa; planktic foraminifera assemblage; Portuguese Margin; Sample code/label; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 804 data points
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  • 40
    facet.materialart.
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 2302, WRMC No. 75040; Pyranometer, Hukseflux, SR30, SN 6355, WRMC No. 75039; Pyrgeometer, Kipp & Zonen, CGR4, SN 100175, WRMC No. 75041; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75038; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 815026 data points
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  • 41
    Publication Date: 2024-05-13
    Description: Determination of dissolved trace metals concentration: dFe and dMn concentrations were estimated from the initially sampled seawater. To this end, 100 mL of seawater were filtered through HCl-cleaned polycarbonate filters (0.2 μm pore size) using a TMC Nalgene filtration system and the filtrate was collected into PE bottle and stored triple bagged at 2 ̊C until analysis. Concentrations of the dFe and dMn were determined on a SeaFast system (Elemental Scientific, Omaha, NE, USA) coupled to an inductively coupled plasma mass spectrometer (ICP-MS, Element2, Thermo Fisher Scientific, resolution of R = 2000). During the pre-concentration step, an iminodiacetate (IDA) chelation column (part number CF-N-0200, Elemental Scientific) was used. The pre-filtered seawater samples were acidified to pH=1.7 with a double distilled nitric acid (HNO~3~) and were UV-treated using a 450 W photochemical UV power supply (ACE GLASS Inc., Vineland N. J., USA) to minimize adsorption of TMs onto the bottle walls and to reduce the formation of Mn and Fe hydroxides during storage. During each UV digestion step, two blanks were taken. The ICP-MS was optimized daily to achieve oxide forming rates below 0.3%. Each seawater sample was analyzed via standard addition to minimize any matrix effects, which might influence the quality of the analysis. To assess the accuracy and precision of the method, a NASS-7 (National Research Council of Canada) reference standard was analyzed in a 1:10 dilution (corresponding to environmentally representative concentrations) at the beginning, in the middle and at the end of each run (two batch runs; n = 18). The measured values were in the limits of the certified NASS-7 reference material, with a concentration of 351 ± 26 ng L^-1^ for dFe and 750 ± 60 ng L^-1^ for dMn (mean ± strandard deviation). The detection limits for Mn and Fe were 8.1 pM and 81.8 pM, respectively. Determination of the chlorophyll a fluorescence: For the 18 additional stations, chlorophyll a fluorescence measurements were collected using a Fast Repetition Rate Fluorometer (FRRf) coupled to a FastAct Laboratory system (FastOcean PTX), both from Chelsea Technologies Group. Samples were first dark acclimated for 1h before the meeasurement was perfomed.
    Keywords: ANT-XXXI/3; ANT-XXXIII/3; co-limitation; Date/Time of event; Drake Passage; Event label; Fluorometer, fast repetition rate; FRRF; GOFLO; Go-Flo bottles; ICP-MS, Elemental Scientific, seaFAST; In situ pump; Iron, dissolved; ISP; Latitude of event; Longitude of event; Manganese, dissolved; Membrane pump; Method/Device of event; MP; Photosynthetic efficiency; Phytoplankton composition; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS112; PS112_106-1; PS112_120-3; PS112_132-3; PS112_17-1; PS112_20-1; PS112_25-50; PS112_26-1; PS112_31-1; PS112_55-5; PS112_61-3; PS112_98-3; PS97; PS97/041-2; PS97/050-1; PS97/052-2; PS97/057-1; PS97/058-1; PS97/070-1; PS97/073-5; PS97/076-3; PS97/091-1; Scotia Sea; Southern Ocean; SPP1158; trace elements; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 59 data points
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  • 42
    facet.materialart.
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    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75034; Pyranometer, Hukseflux, SR30, SN 6354, WRMC No. 75035; Pyrgeometer, Kipp & Zonen, CGR4, SN 120499, WRMC No. 75036; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75033; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 802521 data points
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  • 43
    facet.materialart.
    Unknown
    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75034; Pyranometer, Hukseflux, SR30, SN 6354, WRMC No. 75035; Pyrgeometer, Kipp & Zonen, CGR4, SN 120499, WRMC No. 75036; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75033; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 747583 data points
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  • 44
    facet.materialart.
    Unknown
    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75034; Pyranometer, Hukseflux, SR30, SN 6354, WRMC No. 75035; Pyrgeometer, Kipp & Zonen, CGR4, SN 120499, WRMC No. 75036; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75033; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 798913 data points
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  • 45
    facet.materialart.
    Unknown
    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 6353, WRMC No. 75037; Pyranometer, Hukseflux, SR30, SN 6354, WRMC No. 75035; Pyrgeometer, Kipp & Zonen, CGR4, SN 120499, WRMC No. 75036; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75033; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 802060 data points
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  • 46
    facet.materialart.
    Unknown
    PANGAEA
    In:  Zentralanstalt für Meteorologie und Geodynamik, Wien
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 6353, WRMC No. 75037; Pyranometer, Hukseflux, SR30, SN 6354, WRMC No. 75035; Pyrgeometer, Kipp & Zonen, CGR4, SN 120499, WRMC No. 75036; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75033; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 831290 data points
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  • 47
    Publication Date: 2024-05-13
    Keywords: 323-U1340A; Asteromphalus; Bering Sea; Bering Sea Paleoceanography; Chaetoceros, resting spores; Chaetoceros, setae; Coscinodiscus; DEPTH, sediment/rock; Diatom; Diatoms, discoidal; Diatoms, valves; DRILL; Drilling/drill rig; Eupyxidicula; Exp323; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Joides Resolution; Lamina layer number; Lamina thickness; Lamina type; Neodenticula; Odontella; Paralia; Pleistocene; Porosira; Proboscia/Rhizosolenia group; Rare earth elements; Sample code/label; Scanning electron microscope (SEM); Sinking particle flux; Smear slide analysis; Thalassiosira antarctica, resting spores; Thalassiothrix; Thin section ID; Varve; Varve number
    Type: Dataset
    Format: text/tab-separated-values, 14244 data points
    Location Call Number Expected Availability
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  • 48
    Publication Date: 2024-05-13
    Keywords: calculated, 2 sigma; Climate change; Correlation coefficient, isotope ratio error; DEPTH, sediment/rock; Initial Osmium isotope composition; initial Osmium isotope composition, standard error; large igneous province; mid-Cretaceous; Northwestern Pacific; Nutrient supply; OAE2_OMZ; Osmium; Osmium, standard error; Osmium-187/Osmium-188, standard error; Osmium-187/Osmium-188 ratio; Osmium-192; Osmium-192, standard error; Rhenium; Rhenium, standard error; Rhenium-187/Osmium-188, standard error; Rhenium-187/Osmium-188 ratio; ROCK; Rock sample; Sample ID
    Type: Dataset
    Format: text/tab-separated-values, 686 data points
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  • 49
    Publication Date: 2024-05-13
    Keywords: Chlorite, intensity; Climate change; DEPTH, sediment/rock; Illite, intensity; Illite-Smectite, intensity; Kaolinite, intensity; large igneous province; mid-Cretaceous; Modified Lanson Index; Northwestern Pacific; Nutrient supply; OAE2_OMZ; ROCK; Rock sample; Sample ID; Smectite, intensity
    Type: Dataset
    Format: text/tab-separated-values, 1874 data points
    Location Call Number Expected Availability
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  • 50
    facet.materialart.
    Unknown
    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-05-13
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 809720 data points
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